Frequently asked questions

A brand-new AI analysis, counted by the model work it takes: a research brief, a move explainer or a research-paper summary counts 1, an IPO read of a full S-1 counts 3, and a Bull vs Bear committee run of four agents counts 4. No single run counts more than a whole day of your plan, so Free can still run one committee a day. A run that fails or comes back empty is given back. The Watchlist Scanner is arithmetic rather than a model, so it uses none. Reading an analysis that already exists is free and unlimited on every plan, including Free.

No. Once an analysis exists for a ticker it is cached and served to everyone at no cost, so re-reading it never uses a generation. The limit only applies when you ask us to produce something that does not exist yet, which is the only case that costs us anything to run.

Nothing breaks. Every page keeps working and every existing analysis stays readable. You just cannot trigger a brand-new generation until the limit resets, and the app tells you exactly how long that is.

Yes, with a pack: 50 generations for 4.99 USD, as a one-time payment. Purchased generations are spent only after your daily allowance runs out, and they never expire while your account exists. At about 10 US cents each they cost more per generation than Pro or Max, so a pack suits a busy week and a plan suits every week.

At midnight UTC, not 24 hours after your last run. Depending on your timezone that can be sooner than you expect, so the app shows the real wait rather than telling you to come back tomorrow.

Yes, and it is most of the product. Every calculator, screener, workspace, glossary entry and guide, plus the Congress, insider, 13F and CEO engines, are free with no account. Paid plans exist because AI generations cost us real money per run; the underlying data does not.

Pro includes a 7-day free trial with a card up front. You are not charged until the trial ends, and cancelling before then costs nothing. Max and Epic have no trial and bill from day one: a free week of 100 generations a day is worth more than the month it would be selling, and Epic is scheduled human time rather than software. Cancel either whenever you like.

Yes, from the billing portal in your account, and you keep access through the end of the period you have already paid for. Plans auto-renew until you cancel. Refunds: we do not refund time already billed except where the law requires it — the free trial exists precisely so you never have to pay to find out whether the product is for you.

No, and that is a deliberate limit rather than a disclaimer. We are not an investment adviser and we do not make buy, sell or hold recommendations, including on Epic. What you get is what the filings and our engines say, with every figure traced to a source, so you can reach your own conclusions.

SEC EDGAR for filings and disclosures, market data providers for prices, and CoinGecko for crypto. Every generated analysis cites the specific evidence it rests on, and any claim our own checks cannot tie back to a source is removed before you see it.

No stock price here is real-time. Prices are end-of-day closes from Databento, read only after our licence lets us see the session. Cboe option quotes run about 15 minutes behind the market, crypto prices are cached for a few minutes, and filings, short interest and economic series are as of their own publication dates, which each source card states.

Because a list of sources that leaves out the awkward rows is marketing. Each verdict is our reading of the provider’s terms on the date stated, with the clause it rests on. The build fails if a grey or barred source has no dated exception, so the exceptions on this page are the ones the code actually runs under.

A failed read refuses to write, so the page keeps serving the last good data under its original date rather than showing nothing or a guess. The last good read on each card, and the ingestion ledger, show when that happened.

Because a run log that only shows successes is marketing. Every dated figure on this site is a claim that a pipeline ran; this page is where that claim can be checked. A commercial data vendor cannot publish its own failure record without undermining what it sells. We are not selling reliability, so we can, and a log with visible failures is the only kind worth trusting.

Usually nothing visible. The house rule is that a failed ingest refuses to write, so pages keep serving the previous good snapshot with its original date. A failure here plus a stale date on a page is the system working as designed: showing you older data honestly rather than newer data invented.

Run-level recording arrived in stages, and some older pipelines write their dataset without writing a run record yet. Freshness is observed from the data itself, so the freshness table has no coverage gap; the run log covers the pipelines that record runs, and the gap between the two lists is stated rather than hidden.

Cache warmers, email and alert deliveries, and AI generation jobs. This ledger covers pipelines that write the datasets pages read. It also is not a service-level promise: it is a record of what happened, not a guarantee of what will.

We show less rather than filling the gap. A derived figure must be arithmetic on values the filer actually filed, never a cadence assumption, an average or a projection, and when a filer’s own numbers contradict each other we publish nothing for that period. Abstention is a designed outcome here, not a failure.

No. Daily bars are raw traded prices, which is exactly why a split or a bad print can look like a huge move. Rather than license a corporate-actions feed, we use the signature that separates them: a mechanical price change moves price without unusual volume, while real news brings volume. Every name that rule removes is published on the movers page.

Reconstructed quarterly dividends are the only derived figures, and they are subtraction on two filed cumulative totals rather than an estimate. They are labelled as derived and are never called estimated, because nothing was estimated. The one modelled output is the AI Trade Planner, whose score, labels and price levels come from a formula published in full on the Disclaimer; outside it there are no price targets, no scores blended from weighted inputs, and no forecasts.

Dated figures carry the date they were filed or the session they describe. When a feed misses, the previous good value is carried forward with its own timestamp rather than being overwritten with nothing, so a stale figure shows as stale instead of vanishing.

No. StockTools analyses securities and does not advise people. Nothing here accounts for your circumstances, and no output is a recommendation to buy or sell anything.

A request a surface could have answered with a plausible-looking number and deliberately did not: a metric whose required filings are absent, a history too short to mean anything, a sample below our minimum, an input too stale to present as current, or a ticker that resolves to no SEC registrant at all. Each one renders a dated receipt in place of the number, and lands here.

Because that is what people actually type: symbols that do not file with the SEC, foreign listings, crypto tickers, and typos. The honest answer to those is that no filing-derived answer exists, not a number synthesized from somewhere else. The distribution is reported as it is rather than curated into something more flattering.

No. It is the designed outcome when the inputs do not support an answer. The bug this page exists to catch is the opposite one: a surface that stops refusing and starts guessing would show up here as a suspicious silence.

A rapid price rise that forces short sellers to buy shares back to cap their losses, which adds more buying pressure and pushes the price further. High short interest and high days to cover describe the fuel. They do not predict the spark, and none of the tools here claims to.

No. Short interest, days to cover, short volume and the threshold list are public data published by FINRA, Nasdaq and NYSE. Sites that charge for them are charging for packaging. Every page here is free, without an account, and states the date of the data it shows.

The daily list of securities with persistent settlement failures: aggregate fails-to-deliver of at least 10,000 shares and 0.5 percent of shares outstanding for five consecutive settlement days. Some sites call it a naked short selling list. That is one story about delivery failures, not what the list measures, so we use the regulatory name.

Usually days to cover. FINRA floors its published figure at 1.00, and over a third of all securities sit at that floor while genuinely being lower, so we compute the true ratio from FINRA’s own shares short and average volume. Sites that republish the floored field read high; sites that pick their own volume window read differently again.

A rapid price rise that forces short sellers to buy shares back to cap their losses, which adds more buying and pushes the price further. High short interest and high days-to-cover describe the fuel; they do not predict the spark.

Open short interest divided by average daily trading volume: roughly how many full days of typical volume it would take every short to buy back their position. FINRA computes it per security at each biweekly settlement.

Short interest is reported to FINRA twice a month and published a few days after each settlement. The settlement date is shown on every table here — this is measured positioning, not a live feed, and any tool selling it as real-time is overclaiming.

FINRA publishes short positions, not float. We compute the percentage against the filing-derived share count we hold for covered tickers and label it exactly that way. Because float is smaller than shares outstanding, the true percent-of-float is higher than the number shown.

That the company filed something offering-shaped recently: a priced offering in the last 30 days, a registration in the last 30 days, or offering language in an 8-K in the last 7 days. High short interest plus fresh issuance capacity is the classic fake-squeeze shape, because the company itself can sell into the rally. The flag is a measured filing, not a prediction, and no flag only means no filing in those windows.

No. High short interest is often the market pricing real problems — many heavily-shorted names keep falling. This page measures positioning; it makes no recommendation.

Max pain is the settle price at expiration that would cost option buyers the most and option writers the least — the strike where the total payout owed across all open calls and puts is smallest. It is computed from open interest, not from anyone’s opinion.

For every candidate settle price, add up what writers would owe on every open contract: in-the-money calls pay (settle − strike) × open interest × 100, in-the-money puts pay (strike − settle) × open interest × 100. The candidate with the smallest total is max pain. We chart that whole curve so you can see the answer instead of trusting it.

Sometimes prices settle near max pain, and hedging by options dealers can create real flows in that direction — but the theory is contested, and studies disagree on whether the effect beats chance. Treat max pain as a map of positioning, not a forecast.

The strikes carrying the largest call and put open interest. Heavy strikes can act like magnets or barriers into expiration because of dealer hedging, which is why traders watch them.

Cboe’s public delayed options feed, roughly 15 minutes behind the market, refreshed about every 15 minutes here. Every page shows its as-of timestamp.

Every weekday evening we snapshot the max pain price for a fixed set of liquid tickers. When an expiration passes, we compare the final pre-expiry max pain against the delayed closing price on expiration day. The distance, as a percent of the settle price, is one settlement in the ledger. Days we did not observe are skipped, never interpolated.

Max pain theory is contested, and every site that sells the number has an incentive not to check it. We would rather publish the measured answer, whatever it turns out to be. Until enough expirations settle, this page says so instead of extrapolating.

We do not declare hits. We publish the full distribution: the median miss, the share of settlements within 0.5%, 1% and 2% of max pain and the share that missed by more. Beside each share is the same share for the previous close, the forecast that says nothing will change, so you can see whether max pain beats it. Set your own tolerance with the control on the page.

An option is a contract giving you the right, but not the obligation, to buy (a call) or sell (a put) 100 shares of a stock at a fixed price, the strike, before it expires. You pay a premium for that right.

A call profits when the stock rises above the strike; a put profits when the stock falls below the strike. Buying a call is a bet up, buying a put is a bet down or a hedge.

The Greeks measure how an option’s price reacts to change: delta to the stock price, gamma to delta itself, theta to the passage of time, vega to implied volatility, and rho to interest rates.

Time decay, measured by theta, is the value an option loses each day simply because it is closer to expiration. It accelerates as expiry approaches, which is why short-dated options lose value fastest.

Because nobody outside Congress could have acted on the trade date. The STOCK Act allows up to 45 days to disclose and filers routinely take longer, so a return measured from the transaction is a return no follower could have earned. The disclosure date is the first moment the information is public.

For each disclosed purchase with a ticker, the stock's return over the following 30 days starting from the first session on or after the disclosure date, minus SPY's return over the identical window. Sales are excluded because a sale says nothing about a forward return a follower could capture.

Because of what the source can support. The upstream disclosure feed is a rolling window of the most recent filings and reaches back roughly 80 days, so a completed 90-day window has zero eligible purchases today and a 60-day window has too few. Thirty days is the longest horizon with a real sample. A longer study would require accruing our own disclosure history over time.

A bucket renders only once it holds at least 25 distinct windows. Several members buying one stock and disclosing it the same day share one entry and one exit, so they count as one window, not several. Below the floor an average is noise, so the bucket is withheld rather than printed as a number that would not survive one more data point. The same floor applies to the figures for all purchases.

No. This is an observed historical record on a stated sample, not a forecast and not a strategy. Excess return in a past window does not persist by default, and this page makes no recommendation about any security or any filer.

For one ticker: shares outstanding over time (with reverse-split-sized cliffs flagged), warrant tranches with counts, exercise prices and terms as the company tagged them, cash runway from real burn, every registration and offering filing with its status, and five dilution ratings whose formulas are printed on the chips.

Three ways. It is free with no login. Every rating prints its formula and its data gaps instead of asking you to trust a score. And every number names the SEC form it came from, so you can audit the page line by line.

Convertible note terms, ATM capacity and equity-line capacity live inside filing exhibits rather than structured data, so they are not extracted yet. Warrant tranches are shown when the filer dimensioned them in its own XBRL; untagged tranches stay invisible. Where a gap limits a rating, the chip says so rather than pretending.

Inside the lag runs from the as-of date (the Form 4 transaction date, or the quarter end a 13F reports) to the first session on or after the filing date: the move that happened before anyone outside could see the filing. After disclosure runs from that filing-date close for the next 30 days: the only window a reader could have traded. Both are the stock's return minus SPY's over the identical sessions.

Purchases only: open-market buys (code P) on Form 4, and new or added positions on 13F. A sale or a trim says nothing about a forward return a reader could capture. Form 4s come from the newest 24 Form 4s of the last 180 days for each company we cover; 13F positions come from the funds we track, against each fund's prior 13F, dated by the filing they came from.

A figure prints only from 25 distinct windows. Several purchases of one stock that share an entry and an exit are one window, counted once. Below the floor an average is noise, so the bucket is withheld and says so. An interval prints only from 20 disclosure weeks, because windows filed in the same week share most of their days.

Funds file 13Fs in the same few weeks after each quarter, so one quarter of filings spans only a handful of weeks. The figures print once they clear the floor; the interval waits until the weeks do.

No. This is an observed record on a stated sample, not a forecast and not a strategy. It ignores position size, assumes a fill at a daily close and counts no costs or taxes, and nothing here is a recommendation about any security or any filer.

A registration statement — S-1 or F-1 for a new offering, S-3 or F-3 for a shelf. That is capacity to sell shares, not a sale: the money is not raised and the dilution has not happened yet. Automatic shelves (S-3ASR) are effective immediately for large filers.

A pricing document: 424B5 (a takedown off an effective shelf), 424B4 (final prospectus, typical for IPOs and marketed deals), 424B1/B2, or an 8-K disclosing an unregistered share sale under item 3.02. One honest caveat: a 424B takedown can price shares or notes (debt) — EDGAR metadata alone does not say which, so each row links to the document. Large investment-grade filers use these mostly for bond deals; small-caps mostly for shares.

A 424B3 is usually a prospectus update or a resale registration — existing holders registering to sell shares they already own. That is not new capital and counting it as a company offering would overstate dilution, so we label it separately.

Only their visible footprint. ATM programs sell shares gradually and individual sales are not separately filed — what you can see is the shelf that enables the program and the 424B5 that establishes it. Actual ATM share counts appear later in the 10-Q/10-K share count.

As far back as SEC EDGAR’s recent-filings window for that company — roughly its last thousand filings. Each result states the exact date its review reaches back to, and if nothing was found in that window we say so rather than claiming "never".

Because no honest one can exist. Offerings are announced and priced at the company’s discretion, usually overnight. The closest legitimate signal is a fresh registration that has not priced yet — that is the second lane on this page — plus watchlist alerts the moment a pricing document hits EDGAR.

Three things, all disclosed: 424B2 filings (large banks file dozens per day for structured notes, which are not share offerings in the dilution sense); filers with more than 8 pricings in 30 days (notes desks, listed at the bottom when present); and filers with no listed ticker in EDGAR’s records.

Measured on this page, not guessed: for companies that put offering language in an 8-K and then filed a 424B pricing, the latency table shows the gap between the two filings using EDGAR’s own acceptance timestamps, plus the median. Announcements with no pricing yet are counted separately rather than averaged in, and an announcement never obligates a company to price at all.

No — a 424B can price shares or notes, and EDGAR metadata alone does not say which. Small-cap 424B5s are usually equity; investment-grade filers are often debt. Every row links to the actual document.

It is the jurisdiction whose corporate law the company was formed under: where its charter, or articles of incorporation, was filed. That law governs shareholder rights, board duties and how disputes are decided. It is a legal home, and it is often not where the company has its offices.

Delaware has a large, settled body of corporate case law and a specialist business court, which makes outcomes more predictable for boards and investors. A company can be incorporated there while having no office in the state. On this page the Delaware share is counted from filings, not assumed.

From the cover page of the company’s latest periodic report (10-K, 10-Q, 20-F or 40-F), where the company itself tags its incorporation code. We also read the annual report before it, so a reincorporation shows as a change rather than a silent overwrite, and we cross-check the separate field EDGAR keeps in its company directory, naming its value whenever it differs.

They are separate records, and either can be the one out of date. Around a reincorporation the directory can move first: when Dell moved from Delaware to Texas in 2026, the directory said Texas while its annual report still said Delaware, until the next quarterly report caught up. It can also lag for years: Super Micro’s directory entry still says California while every recent filing says Delaware. We show the company’s most recent filing and list every disagreement by name.

No. A Cayman Islands or Irish incorporation says where the legal entity was formed, not where the company operates, employs people or earns revenue. No filing cover states that, so this tool does not claim it.

Only the filers StockTools covers, and only those that pass the eligibility gate: four or more filed quarterly dividends inside the last 400 days, at least eight quarters of history, a computable yield, and filed data no more than 400 days old. Coverage is curated and is not the whole US market.

Dividend quarters are keyed by fiscal period end, and fiscal years differ across companies. A calendar-year bucket published mid-year would be incomplete for everyone and differently incomplete depending on each company’s fiscal calendar, which would rank fiscal calendars rather than dividends.

It appears when one quarter contributed at least twice as much as the next largest, which makes a trailing yield unrepresentative of the current rate. Nothing in the filings labels a payment as special, so the page states the composition and lets you draw the conclusion rather than asserting intent.

Per-share dividends declared per fiscal quarter, from each company’s own SEC filings. Where a company never tags its fourth quarter as a standalone period, that quarter is reconstructed as the filed full-year figure minus the filed nine-month figure, and only when the three filed quarters agree with the nine-month total.

How widely a move is shared: whether most stocks rose with the index, or a few large ones carried it. These readings count stocks, not dollars, so each one weighs the same.

The same universe as the scans: about 5,700 US common shares, ADRs and trust units with a session on file, from end-of-day bars. ETFs are not counted. The cohorts split it by 20-session average dollar volume.

Each stock is ranked against its own earlier sessions, up to 252. If today were an ordinary draw from that history, about 5% of sessions would land above the 95th percentile, so about 5% of stocks read that way on any day with nothing unusual happening. The reading that means something is how far the share sits from 5%.

Where today's share sits among the sessions already on file: 90 means it was higher on only 10% of them. They appear once 60 sessions have been recorded, and the history starts when this page did.

Because a filter nobody can inspect is indistinguishable from a broken pipeline. Two guards stand between the market and this board, and both are thresholds we chose. Publishing what they removed, with the number that removed it, is what makes them checkable rather than something you have to take on trust.

Daily bars are raw traded prices, so a stock split or a bad print can look identical to a huge move. The signature that separates them is volume: a mechanical price change moves price without unusual trading, while real news brings trading. A move of 25 percent or more must come with at least three times the stock’s own median volume from the previous completed sessions, with the current session excluded from that median.

An average baseline is contaminated by the very spike it exists to detect. One name traded 24,000, 11,000 and 11,000 shares, then 57.8 million on a 194 percent day. Against the average, its genuine 54.9 percent reversal the next session scored 0.1x and was rejected. The guard was systematically removing day two of every two-day move, which is when a reversal is most worth seeing.

No, and the page says so above the table. It records candidates that cleared the liquidity and price gates and then failed one of the two judgement guards. Names that never cleared a one dollar price, five million dollars of daily turnover, or the equity-type filter are not individually logged, and neither are the thousands of stocks that simply did not move much. Each session records at most 40 exclusions and the log keeps 12 sessions.

Yes, and reading this log is how it was found. In August 2026 the malformed-bar guard scanned the whole comparison window rather than just the two bars being compared, which removed a stock that rose 137.9 percent on 285.5 million dollars of turnover, the second largest gain in the market that session. The guard was narrowed the same day and the board rebuilt.

No. The list is the URL: /lists/aapl-msft-nvda renders that list for anyone who opens it. Nothing is stored on our side and nothing is tied to you.

No, deliberately. A basket with weights and a return history is a model portfolio, and publishing one would be making a recommendation. These lists show what each company is, from its filings, and stop there.

Twelve. Beyond that the page stops being scannable, and a list you cannot read in one screen is not doing its job.

It still gets a row and its tool links; we mark it as not in our filing index rather than silently dropping it. Absent data is stated, never hidden.

No. Every figure is from the last complete session's end-of-day bars, and the page says which session. A live scanner needs real-time data we do not show publicly.

No. The figures for every stock are built once per session and your rules run in your browser, so scans are not counted, capped or slowed, on any plan.

Yes, on Pro, for 1 generation a new sentence. The model writes the sentence into the builder's own figures, then code strikes any condition whose threshold your sentence does not state, any figure the builder does not hold and any judgment word, and you read the rule in words and load it into the editor before it runs. The fixed-rule compiler above it is free and needs no model.

The daily ones do. They come from the same code the charts draw: Wilder's RSI, MACD 12/26/9 on exponential averages, Wilder's ATR, over the last 253 sessions split-adjusted the same way. Checked against the chart on 14 stocks, two recent splits among them, every daily figure matched within 0.1%. The weekly bars are grouped by the charts' own rule and the weekly averages match exactly; weekly RSI reads one year of weeks where the chart reads every week since July 2024, and on AAPL across 60 sessions the two differed by 0.85 points at most.

A stock without enough history for a figure (a 200-session average needs 200 sessions, a 40-week average 40 weeks), or outside the fundamentals screener for the fundamentals figures, has no value for it, and a missing value never matches. ETFs are scanned only when the rule says so (Stocks and ETFs, or ETFs only); a fund has no filing figures, so a condition on P/E or F-Score matches no ETF.

No. They are built once per trading session from end-of-day bars, after the session is published, and every list says which session it measures. A live scanner needs real-time data we do not show publicly.

The stocks our movers ingest keeps for the session: common and ordinary shares, ADRs, and trust and LP units. ETFs and funds, preferreds, warrants, units and rights are left out, because their moves are not stock moves.

Three filters shape every list. A stock needs at least 1 million USD traded in the session (250K USD under 1 USD). The highs and lows lists need the whole lookback on file. And the bars are as traded, so a stock whose bars show a split-like overnight gap inside a list's window, without the volume a news move brings, is left out of that list rather than ranked on a move that is only a split.

No. Every bar is an end-of-day bar: one per trading session, published after the close. There are no intraday bars, live quotes or order book here, and every chart says so under it. The newest bar is the last session our data provider has published.

To 1 July 2024, when the consolidated dataset we license starts: the All range shows everything since then, and 2Y shows the last two years. There is no 5Y view to offer. Prices are split-adjusted, so a 10-for-1 split does not draw a cliff on the chart.

Daily, weekly and monthly bars, over a month up to everything on file, picked from a list laid out the way trading terminals lay theirs out: 6 M : 1D is six months of daily bars, 2 Y : W two years of weekly ones. Star a timeframe to put it on the toolbar, or add any range with any bar under Customize list. A weekly or monthly bar is built from the daily bars: the first open, the high and the low, the last close and the summed volume, and the newest one is the week or month so far. Intraday bars, from 1-minute to 4-hour, are not available: showing them publicly needs data rights we do not have yet.

Twenty-seven, each with its settings in its name and editable: simple, exponential and weighted moving averages, a moving VWAP from daily bars, Bollinger, Keltner and Donchian channels, Parabolic SAR, Ichimoku, classic pivot points, Darvas boxes, ADX, RSI, MACD, stochastic, Williams %R, CCI, momentum, rate of change, PPO, TRIX, the awesome oscillator, a volume average, money flow, on-balance volume, the accumulation/distribution line and average true range. Each study can go on every chart or on one. Every formula is printed in the studies menu, and none labels a reading as overbought, oversold or a reason to trade.

Trend lines, rays, extended lines, arrows, horizontal lines and rays, vertical lines, parallel channels, rectangles, ellipses, Fibonacci retracements, a measure tool and text notes. Lines and boxes report what they span: the price change, the percent change, the sessions and the calendar days. Click a drawing to select it, drag it or its points to move them, Delete removes it, and Ctrl+Z and Ctrl+Y undo and redo. A magnet option snaps points to the bar’s open, high, low or close.

Records, dated by the day they became public. E marks an 8-K reporting results (Item 2.02), Q a 10-Q and K a 10-K, 20-F or 40-F, from the company’s own SEC submissions file; grey dots are its other 8-Ks. I+ and I- are insiders’ open-market purchases and sales from Form 4s of the last 180 days. C+ and C- are congressional stock trades, on the day they were disclosed. Split marks a split found in the bars, and H a trading halt from our halt archive, which only reaches back to the day it began recording. Hover a session and the legend lists each record with a link to it.

Signed out, in this browser: drawings per ticker, named layouts, notes and studies. Signed in, they are also kept with your account and follow you to every device you sign in on; edits made on two devices are merged, so neither erases the other. The Layouts menu can also export all of it to one file. A link carries the tickers, the number of charts and the range, so Copy link reopens the same charts anywhere; drawings stay with you.

The Drawing Ledger, a Pro tool, grades every horizontal line, ray, extended line and box you saved, only on the sessions after you drew it: how many were reached within 5, 20 and 60 sessions and how many held on the first touch, each beside random levels at the same distance from that day’s close. A percent prints from 20 graded drawings. It runs in your browser and calls no AI model.

Yes, on daily charts: the entry, exit and stop you logged for a stock trade on that ticker, read from the journal in your browser, drawn as lines with the session marked. The journal keeps a trade’s close date only, so an entry is marked on its session only for a same-day trade with both times logged, and a daily bar cannot show whether an entry or a stop inside it came first. Turn it off under Marks.

No, and that is deliberate. Today's calls are recorded but never displayed. Showing a fresh call would be publishing a recommendation with a model's name attached; showing a matured call beside what the price did is reporting a track record. Only the second is what this page is for.

Each call is a direction — higher, lower, or unclear — recorded with the closing price on the day it was asked. Thirty calendar days later we compare against the close on that date. "Unclear" is recorded and excluded from the hit rate rather than counted as a miss, because refusing to guess is a legitimate answer.

Because nothing has matured. The ledger holds no aggregate until at least 20 calls have been scored — a hit rate computed on a handful of calls is noise wearing a percent sign. The page states what it is waiting for instead of showing a thin number.

No. Nothing here tells anyone to do anything, no output is personalised, every visitor sees the identical page, and it is free. It is a measurement of how a class of software performs at a task people increasingly use it for.

Because a model that answers higher every time can look skilled through any stretch in which most stocks rose, without knowing anything. The baseline scores the same windows as if every call had said higher. A hit rate means something only to the extent it beats that, and it can differ from it only on the windows where the model said lower, so the page prints how many of those there were.

Only our stored data for the company: its financial statements and valuation, financial health scores, ownership filings (insiders, members of Congress and 13F funds), its recent SEC filings and its price performance. It does not read news articles, social media or analyst ratings.

No. It describes what the filings and market data say and cites each point. It makes no forecast and no buy, sell or hold call, and every reader of the same ticker sees the same brief.

A brief someone has already generated is read from storage and costs nothing. A new one counts against a daily allowance of AI generations: 3 a day on Free, 25 on Pro and 100 on Max and Epic. During the beta, before paid plans open, the allowance is not enforced.

Yes. It is software reading data and it can misread a figure. That is why every point names its evidence: check the point against the filing before relying on it.

The bull and the bear each build their strongest good-faith case from the evidence, two to five claims each. The risk manager reads both and names the most important risks, what would invalidate each side and what the evidence does not show. The portfolio manager states where each side is strongest and what to watch next.

No. Its last seat is told to write a balanced read that is explicitly not a buy, sell or hold call, and nothing in it is personalised to you.

A committee read someone has already generated is read from storage and costs nothing. A new one counts against a daily allowance of AI generations: 3 a day on Free, 25 on Pro and 100 on Max and Epic. During the beta, before paid plans open, the allowance is not enforced. A committee run counts as 4, so on Free it uses all 3 of the day.

From our stored data: its financial statements and valuation, financial health scores, ownership filings (insiders, members of Congress and 13F funds), its recent SEC filings and its price performance. Each claim lists the evidence items it uses, so a claim with no evidence behind it shows up as one.

It is the one place on StockTools that labels stocks and computes price levels, by a fixed formula published in full on our disclaimer page. Every reader gets the same score, band and levels for the same ticker; no person reviews them, and they do not account for your finances, taxes or goals. Read a band as a description of what the formula saw in public data that day.

No. Only the price-trend part can be backtested honestly, and that backtest is shown with every plan. The filing-based parts cannot be tested on history without look-ahead bias, so they are not.

The score, bands and levels are a formula with no model in them. The AI part is optional: a click asks the Research Committee for its read of the same ticker. Once paid plans open, that read counts against the daily AI allowance.

The planner runs for signed-in readers, and an account is free. This page, the formula and the backtest method are public.

No. It produces a paper plan, never an order. StockTools does not execute trades, connect to a broker or hold money.

Divide the total dollars spent across all purchases by the total number of shares. Buying 100 shares at $50 and 100 more at $38 costs $8,800 for 200 shares — an average cost of $44.00 per share.

Only when you paid no fees. Break-even spreads total cost including purchase commissions and fees across every share, so it sits slightly above the plain average whenever fees are greater than zero. (This calculator models purchase-side fees; selling can add small regulatory fees on top.)

Buying shares below your current average cost lowers both the average and the break-even price — but it also increases the total capital invested in the position, which raises the dollar amount at risk. Traders often weigh both effects before adding.

Yes — share fields accept up to 4 decimal places, so lots from fractional-share brokers and dividend reinvestment plans work normally.

Generally no for individual stocks. As of 2026, US brokers typically report cost basis lot-by-lot using FIFO or specific-share identification; the average cost basis method is generally limited to mutual funds and certain DRIP shares. This tool is a planning average, not a tax document — rules vary and change, so consult a tax professional.

Averaging down means buying below your current average cost, pulling the average lower; averaging up means buying above it, pushing the average higher. The arithmetic in this calculator is identical for both.

Compound annual growth rate — the single constant yearly rate that would grow a beginning value into an ending value over a given number of years, with compounding. It smooths a lumpy path into one comparable annual figure.

CAGR = (ending value ÷ beginning value)^(1 ÷ years) − 1, expressed as a percent. For $10,000 growing to $25,000 over 6 years: 2.5^(1/6) − 1 ≈ 16.50% per year.

Yes. If the ending value is below the beginning value, CAGR is negative — for example, $40,000 falling to $32,000 over 2 years is a CAGR of about −10.56% per year.

Total return is the cumulative change over the whole period (150% in the example above); CAGR spreads that same change into an equivalent per-year compounded rate (16.50%). Over multi-year periods total return is always the larger-looking number.

No. Point-to-point CAGR assumes no money was added or removed between the two values — for an account with ongoing deposits it overstates growth, and a money-weighted return (IRR) is the right measure. If you enter share prices, the result is price-only growth that excludes dividends.

Yes — enter 1.5 years (or days ÷ 365.25). Be careful annualizing periods under a year: a short-term gain extrapolated to a full year is a hypothetical rate, not an expected return.

Gains on assets held more than one year are long-term and taxed at preferential federal rates (0%, 15%, or 20% as of 2026). Gains on assets held one year or less are short-term and taxed at ordinary income rates, which are typically higher.

As of 2026, federal long-term rates are 0%, 15%, or 20%, depending on your taxable income and filing status. The dollar thresholds between those bands are adjusted for inflation each year, so this tool treats them as approximate.

An additional 3.8% federal tax that can apply to investment income when modified adjusted gross income exceeds $200,000 (single) or $250,000 (married filing jointly) as of 2026. Those thresholds are set by statute and are not inflation-adjusted.

No. It estimates federal tax only. Many states also tax capital gains — often as ordinary income — so your total bill may be higher.

There is no capital gains tax on a loss. Capital losses can offset gains and up to $3,000 of ordinary income per year ($1,500 if married filing separately, as of 2026), with the excess carried forward — but watch the wash-sale rule if you rebought within 30 days.

No. This is an educational estimate using a simplified model. Consult a CPA or tax professional before making decisions based on taxes.

By default at the end of each month — an "ordinary annuity", the conservative standard. Switching to beginning-of-month (an "annuity due") gives every contribution one extra month of growth.

That depends on your assumptions. As a historical reference point, broad US stock indexes have averaged roughly 7–10% per year over long periods before inflation — but past returns don't guarantee future results, so many planners test a range of rates.

No. Results are gross, nominal projections. Taxes, fund fees, and inflation all reduce real-world outcomes, and US tax treatment varies by account type (as of 2026).

How often growth is credited. At the same nominal rate, more frequent compounding yields slightly more per year — for example, 8% compounded monthly works out to an effective 8.30% annually. This calculator converts your chosen frequency into an equivalent monthly rate so monthly contributions grow smoothly between compounding dates, which can differ slightly from calculators that credit interest only on each compounding date.

It raises your monthly contribution once per year by the percentage you set — modeling contributions that grow with your income, like $500/month this year becoming $525/month next year at a 5% increase.

The math is identical, but markets don't deliver a smooth constant rate — real returns arrive unevenly and can be negative for years. Treat the output as an educational scenario, not a forecast.

At a steady 7% return before costs and 0.05% fund costs, 500,000 USD grows to about 3,749,448 USD self-directed and about 2,773,047 USD with a 1% fee: 976,400 USD less. 386,803 USD of that is fees paid; the rest is the growth those fees would have earned.

When the balance is above the flat fee divided by the percent fee. A 2,000 USD flat fee and a 1% fee cost the same on 200,000 USD; above that, a year of the 1% fee costs more.

At the start of each year, from that year’s opening balance, and the rest earns the return. Advisers often bill quarterly, which moves the figures slightly.

No. It measures what each arrangement costs at a steady return. Tax work, planning and behavior in a downturn are outside it, and it is not a recommendation for or against hiring anyone.

For a covered call it shows the premium collected, the return if the stock stays flat, the return if shares are called away at the strike, both annualized, plus breakeven and the downside cushion the premium provides.

Premium collected divided by the cash collateral (strike × 100 × contracts), annualized over the days to expiration. If assigned, your effective buy price is the strike minus the premium.

The total return if the stock finishes above the strike and your shares are sold at the strike: the capital gain up to the strike plus the premium, divided by your cost basis.

No. Annualizing compounds one period’s return across a year and assumes you could repeat it identically, which markets do not promise. Treat annualized figures as comparisons, not forecasts.

The optional prefill uses our delayed (~15 minutes) Cboe chain and picks a near-30-delta contract at the bid/ask midpoint. Every field stays editable, and you should check live quotes before trading.

DCA is buying a fixed dollar amount on a set schedule — say $50 every week — regardless of price. You buy more units when the price is low and fewer when it is high, which smooths your average cost and removes the pressure to time the market.

Average cost = total dollars invested ÷ total units bought. This calculator uses the average purchase price you enter to estimate units accumulated (invested ÷ average price); in a real DCA the units come from summing each buy at its own price.

No. DCA reduces timing risk and the impact of volatility on your entry, but if the asset trends down over your whole horizon you still lose money. Crypto is especially volatile and can go to zero. This is a planning tool, not a promise.

Frequent small buys can rack up per-transaction fees, which raise your true average cost. Use the Crypto Profit Calculator to model an exit with fees included; this planner shows the pre-fee picture.

Profit = (sell price − buy price) × units held, minus fees. As a percentage, it is (sell ÷ buy − 1) × 100 before fees. Enter your buy price, sell price, and how much you put in, and the calculator does both.

This tool charges the fee percentage on both the buy and the sell (most exchanges charge per side). The fee reduces your net profit and raises the break-even price you need to sell at just to cover costs.

Yes. Enter the dollars you invested and your buy price, and units are derived (invested ÷ buy price). Crypto units are fractional, so partial coins are fine.

No. Profit here is pre-tax. In most jurisdictions crypto gains are taxable — use the Capital Gains Tax Calculator to estimate what you might owe.

A DCF calculator estimates intrinsic value by discounting expected future free cash flows back to today’s dollars.

Use unlevered free cash flow to the firm, also called FCFF. Many screener FCF figures are levered, which can distort this enterprise-value model.

No. V1 uses user-entered assumptions. Future versions may prefill from official SEC-derived data.

The Gordon Growth formula divides by discount rate minus terminal growth. If terminal growth is equal to or higher than the discount rate, the model breaks.

It is usually more useful for companies with positive, reasonably predictable free cash flow.

The discount rate is a required-return assumption. Different investors use different rates, so the output should be tested with multiple scenarios.

From each company’s own SEC filings: the per-share dividends declared per fiscal quarter as reported in their 10-Qs and 10-Ks. No vendor feed, and every figure is traceable to the filer.

The latest declared quarterly rate carried forward on a quarterly cadence, labeled as a projection everywhere it appears. Companies raise, cut and suspend dividends — a projection is arithmetic, not a promise.

Declared means the board has announced the payment with an ex-date and payment date — a fact, shown with its source. Projected means we extended the current rate forward — an assumption, labeled as one.

Either the company pays no dividend, or its filings don’t report the per-share declared tag we read. We show nothing rather than estimate.

A dividend reinvestment plan (DRIP) automatically uses cash dividends to buy more shares — including fractional shares — of the same stock, so future dividends are paid on a growing share count.

It compounds annually: dividends are assumed paid once per year at year-end and reinvested at that year-end price, with the dividend and share price each growing at constant rates. Real DRIPs usually reinvest quarterly, which compounds slightly faster.

Reinvestment adds shares every year, so income growth compounds from two sources — the per-share dividend increase and the rising share count. In the example above, a 5% dividend growth rate produced roughly 8% annual income growth.

No. In the US, dividends in a taxable account are generally taxable in the year received even when reinvested (rules vary and change; as of 2026). This tool is an educational projection, not a tax estimate.

Yes — enter a negative dividend growth rate or price growth rate. Falling prices actually accelerate share accumulation, since each reinvested dollar buys more shares.

The calculator holds your share count constant and accumulates dividends as cash earning nothing, then shows the end value side by side with the reinvested scenario so you can see the compounding gap.

No — it is a mockup image you create, for memes and design mockups. Do not present it as a genuine post.

No. It only renders an image locally in your browser; nothing is published or uploaded.

A simple calculator assumes the same fixed return every year and gives you one number. This tool runs your assumptions through thousands of randomized market paths and reports a required contribution at a chosen confidence level — for example, the monthly amount that gets you to your goal in 8 out of 10 simulated futures, not just the single average one.

There is no universal answer — it is a trade-off between how much you can actually save and how sure you want to be. 80% is a reasonable middle ground for a goal with some flexibility (like a house down payment); 95% is more conservative and will ask for a noticeably higher monthly contribution for the same goal.

Higher volatility widens the whole range of outcomes, including the bad ones. To keep the SAME confidence level with a wider range of bad outcomes, the tool has to solve for a higher contribution — it is compensating for the paths where markets disappoint, not just the average path.

Yes — set the years to your actual timeline. For short horizons (under 5 years), consider using a much lower expected return and volatility than a long-run stock allocation; a goal you need soon is usually better held somewhere more stable than the market.

The Graham Number is a fair-value ceiling from Benjamin Graham’s defensive-investor test: the square root of 22.5 times earnings per share times book value per share. A stock with $6.00 diluted EPS and $20.00 book value per share has a Graham Number of √(22.5 × 6 × 20) = √2,700 ≈ $51.96.

Graham capped a defensive purchase at a P/E of 15 and a price-to-book of 1.5. Multiplying the two caps gives 15 × 1.5 = 22.5. Any price at or below the Graham Number satisfies the combined test — a stock can run slightly over one cap if it is under the other by enough.

Then the Graham Number does not exist — the formula would take the square root of a negative product, which has no real answer. That is a verdict, not a bug: a company losing money or carrying negative equity fails Graham’s defensive screen outright, so the calculator says so instead of printing a number.

Diluted EPS over the trailing twelve months, and book value per share from the latest quarterly balance sheet (total shareholders’ equity ÷ diluted shares). Basic EPS overstates the input for companies with heavy option or convertible issuance.

No. It is a screen, not a verdict. The formula leans on book value, so it flatters asset-heavy businesses like banks and insurers and penalizes asset-light ones — a software firm earning $6.00 per share on $3.00 of book value gets a Graham Number of just √(22.5 × 6 × 3) ≈ $20.12 even if its cash flow justifies far more.

The Graham Number looks backward at two reported figures — earnings and book value — and applies fixed 15x and 1.5x caps. A DCF looks forward, projecting free cash flow and discounting it at your required return. A $51.96 Graham Number and a $70 DCF value can both be true; they answer different questions.

Take the wider of the two wings (the distance between each short strike and its long strike), subtract the net credit, and multiply by 100 per contract, then add fees. A 5-wide condor sold for 1.80 loses at most 3.20 a share, 320 USD a contract.

The short put minus the net credit, and the short call plus the net credit, with fees taken off the credit first. A 100/110 condor sold for 1.80 breaks even at 98.20 and 111.80 before fees.

That is the partial zone. Every point past the short strike costs one point of the credit, so a settle 1 point past a short strike on a 1.80 condor still makes 0.80 a share, 80 USD a contract, before fees.

No. You enter every strike and the price of every leg. It models the payoff at expiry from your numbers, so it has no time value, no early assignment and no margin rules.

As a charge per contract for each leg. A four-leg condor pays it four times per contract to open, and four more to close or settle if you count both ways.

The Kelly Criterion is a formula for estimating position size from win probability and payoff ratio.

Half Kelly uses 50% of the full Kelly result to reduce volatility and protect against overconfident assumptions.

Yes. A negative Kelly result means the entered win rate and payoff ratio do not show a positive mathematical edge.

Full Kelly can be aggressive and highly volatile. Many traders study fractional Kelly for educational risk management.

No. It only calculates sizing from the inputs. The quality of the result depends on whether the win rate and payoff ratio are reliable.

A pre-committed account-level drawdown — for example 10% of your account — at which you stop trading and reassess. Deciding it before you are losing is the entire point: limits set mid-drawdown tend to move.

It is a common starting point, not a rule. The right number is the loss you can absorb financially and emotionally without changing how you trade. This calculator works with any percentage.

How many consecutive worst-case trades your limit can absorb. Risking 1% per trade with a 10% account limit gives a runway of 10 full losses — a useful sanity check on whether your per-trade risk matches your tolerance.

Losses and gains are asymmetric. After losing 10%, your smaller account needs about an 11.1% gain to get back to even; after 50%, it needs 100%. That asymmetry is why loss limits exist.

Telling someone your limit makes it real — a commitment device. The share message includes only your dollar limit and pledge, never your account size or percentage.

A Monte Carlo simulation runs thousands of randomized versions of the future instead of one straight line. Each path draws a different sequence of yearly returns from your assumptions, so instead of a single "you will have $X" number you get a realistic range — a 10th, 50th, and 90th percentile — plus the odds of reaching a goal.

A compound-interest calculator assumes the exact same return every single year, which never happens. Two portfolios with the same average return can end up wildly apart depending on the order of good and bad years (sequence risk). Monte Carlo shows that spread; a straight-line projection hides it.

They are your assumptions, not ours. As rough reference points, a broad US stock index has historically returned around 10% a year (about 7% after inflation) with roughly 15–20% annual volatility; a 60/40 stock-bond mix is lower on both. The tool shows the formula so you can check what your inputs imply.

Treat it as a study, not a forecast. This model draws returns from a normal distribution, which understates the risk of rare crashes and fat tails, and it cannot know your actual future returns. It is a way to reason about ranges and sequence risk — never a guarantee. Educational only, not financial advice.

Every trade in a session happens between its low and its high. Inside a window, the largest gain anyone could have made is a buy at a low and a sale at a high on the same or a later session, so a claimed gain above that is impossible on those bars.

Because the lowest low may come after the highest high, and a gain needs the buy before the sale. It is shown as the order-free figure; the verdict uses the largest rise from a low to a high on the same or a later session.

Over a long enough stretch, almost any move happened. A percent with no window cannot be true or false, so the check abstains and says so.

Moves inside one session in time order, trades the bars do not hold, and whether anyone actually made the trade. A possible claim is only possible. We have not confirmed whether these bars include pre-market and after-hours trades, and indexes and futures are not held.

It shows estimated profit or loss at expiry based on strategy, strike, premium, contracts, stock price at expiry, and fees.

No. This is an educational payoff calculator using user-entered inputs, not live market quotes.

For a long call, breakeven is strike price plus premium plus any per-share fees.

For a long put, breakeven is strike price minus premium minus any per-share fees.

It models the expiry outcome as if shares are called away above the strike, but it does not predict early assignment.

No. The card is drawn entirely in your browser on a canvas and downloaded locally — no numbers are sent to a server.

A ticker or label, your dollar profit or loss, and the percent move. It is self-reported and marked as such — made for sharing, not verification.

A CSV is not. It is read by this page in your browser and the chart is drawn there; nothing from it is sent to a server, and nothing is kept after you leave. Screenshots are different: reading one needs our server and Claude, so it is sent to both, used for the read, and not kept.

thinkorswim and Schwab account statements are recognised as they are exported (Monitor, Account Statement, Export). Other brokers work when the file lists one row per execution with the date and time, symbol, side, quantity and price: the columns are matched by name, and you can see and change every match before the chart is drawn.

Yes, with a free account. Drop or paste up to four screenshots of one day’s trade history or filled orders; Claude, Anthropic’s AI model, reads them into rows, and you check and edit every row before the chart is drawn. Free accounts get 1 read a day (up to 5 a week) for the first month, then 1 a week; Pro gets 3 a day. We keep neither the screenshots nor the rows, only a count of your reads.

It charts realized P&L. A position starts to count when shares are sold (or covered), so a losing position you are still holding does not pull the line down until you exit. Marking open shares to the market would need the price tape, which a CSV does not carry.

Each sale is matched first in, first out against the shares you bought, and realizes its own P&L at its own time. A trade sold in five pieces moves the line five times.

When the file lists fees or commissions, the chart shows P&L after fees by default, each fee taken off when it was charged. Switch to before fees to compare with a broker P/L Day figure.

Premarket (4:00 to 9:30 AM Eastern) and after hours (4:00 to 8:00 PM). Set the time zone your file uses if it is not Eastern; the clock on the chart stays the file’s own.

The timeline covers stock executions. Option rows are left out, and the page says how many rows it set aside.

Subtract what you paid from what it's worth now, divide by what you paid, and multiply by 100. Buying at $80 and seeing $92 is (92 − 80) ÷ 80 × 100 = a 15% gain.

Because the recovery is measured from a smaller base. A $100 position that falls 50% is worth $50, and $50 must double — gain 100% — to return to $100. The general rule is gain = loss ÷ (100 − loss) × 100.

Absolute change is the dollar move (final minus initial); percentage change scales that move by your starting value. A $10 move is 20% on a $50 stock but only 1% on a $1,000 stock.

Yes — percentage gain is the same either way, as long as both inputs use the same basis. The dollar change will then be for the whole position rather than per share.

No — it compares the two values you enter. For a fee-inclusive number, use the Break-Even Calculator or the Stock Profit Calculator, which itemize costs.

No. Percentage gain ignores time — a 25% gain over one year and over ten years read identically here. Use the CAGR Calculator to annualize a multi-year return.

No. The CSV is parsed in your browser and only the ticker symbols are sent to look up public filing data — never your share counts or portfolio value, which are computed locally. Nothing is stored; closing the tab discards everything.

A forgiving CSV or pasted list. It needs a ticker and a share count per row (for example "AAPL, 20"); it detects common brokerage export headers automatically and ignores extra columns.

No. Every line is a measurement or a benchmarked comparison — your sector weight versus the S&P 500, how concentrated your largest position is, which holdings report earnings this week. It never tells you what to buy, sell, or hold.

Multiply your account capital by the percent you're willing to risk, then divide by the per-share distance between your entry and stop. Example: $25,000 × 1% = $250 risk; with an $8 stop distance that's 250 ÷ 8 = 31 shares (rounded down).

A common position-sizing convention where a trader risks no more than 1% of account capital on any single trade, so a normal string of losses produces a small, recoverable drawdown. It is a risk-management heuristic, not a guarantee.

Yes. Place the stop above the entry and it automatically computes a short position, with R-multiple targets projected downward. Note that short selling requires a margin account and losses can exceed the stop if price gaps through it.

"R" is your initial risk per share — the distance from entry to stop. A 2R target is a price where profit per share equals twice that risk. Traders use R-multiples to compare trades of different sizes on one scale.

Rounding up would put more dollars at risk than your budget allows. Flooring to a whole share keeps your actual dollar risk at or below the amount you chose.

A very tight stop can imply a position value larger than your capital. The calculator flags this, since it would require margin, and also shows the largest whole-share position a cash account could afford.

The share of sessions on which a stock closed inside a band around a starting close, measured on every session in the window. It is what placing the same band every day, with no judgment, would have earned.

A credit spread or iron condor wins when the price stays inside its strikes, and most do most of the time. A service that reports a 76% win rate on strikes that finish inside 63% of the time anyway is claiming the 13 points between them, not the 76.

How far the claimed rate sits from the base rate, measured in the spread a record of that many trades would show by chance if each trade had only earned the base rate. Around 2 or more is unusual; it does not say why.

Split-adjusted daily closes for US stocks and ETFs, every session since 1 July 2024. Indexes such as SPX and RUT are not held; SPY and IWM track them.

The share of sessions a ticker closed above its own open and above the prior close, opened above the prior close, traded back to the prior close after opening a set distance away, and traded through the prior session’s high or low, each with its count. Under 20 sessions a rate is withheld. Over the 578 SPY sessions to 19 October 2026, SPY closed above its own open on 51.6%.

No. The open in these daily bars comes from a consolidated summary, not the listing exchange’s official opening price. 16 of SPY’s 578 opens on file are fractions of a cent and none of its closes is. The tool counts these for each ticker, and the rates built on the open carry the difference.

A rule of thumb from 1990s research: withdraw 4% of your starting portfolio in year one of retirement, then increase that dollar amount with inflation every year after, and a typical 30-year retirement historically survived. It is a starting point, not a guarantee — the "safe" rate depends heavily on your actual returns, volatility, and time horizon.

The highest withdrawal rate that still lets your money last through retirement at an acceptable probability — commonly 90% or 95% of simulated outcomes never running out. It is not one fixed number; it moves with your expected return, volatility, retirement length, and how much risk of failure you are willing to accept.

The original 4% rule comes from replaying actual historical decades, which have some mean-reversion baked in — a few bad years are often followed by a recovery. This simulator draws each year’s return independently at random with no memory of the year before, a stricter test that can produce a more conservative safe rate for the same assumptions. Both are legitimate ways to study the question; they are just not the same question.

The simulation tracks every simulated retirement separately. If a path’s balance hits zero, it stays at zero — that path is counted as having "run out of money," even if it would have kept compounding on paper. The percentage of paths that never hit zero is the success probability.

It is the probability that an account ever falls to a drawdown level — the "ruin threshold" — from which the trader realistically cannot or will not continue. It depends on win rate, payoff ratio, and the percent of equity risked per trade.

A win rate and payoff ratio that produce zero or negative expectancy mean the account drifts down on average. Over enough trades, hitting any drawdown threshold becomes a mathematical certainty — smaller position sizes only slow it down.

No. The model assumes binary outcomes, a constant risk fraction, and independent trades, over an unlimited number of trades. Real trading has variable and fat-tailed outcomes and correlated losses, so real ruin risk is typically higher than the estimate.

You choose the threshold; 50% is a common default because deep drawdowns require outsized gains to recover — a 50% loss needs a 100% gain just to get back to even — and many traders stop or change behavior before then.

Enormously — risk of ruin falls exponentially as risk per trade shrinks. In this tool's example system, risking 5% per trade gives roughly a 1.25% chance of a 50% drawdown; risking 1% makes the same event effectively impossible.

No. Risk of ruin depends on the combination of win rate and payoff ratio. A 40% win rate with a 2.5 payoff ratio has positive expectancy, while a 55% win rate with a 0.7 payoff ratio has negative expectancy and certain eventual ruin.

Risk tolerance is how much volatility and potential loss you can handle, both financially and emotionally, in pursuit of higher long-run returns. It combines your time horizon, financial stability, and temperament — someone with 30 years until retirement and a stable income can typically absorb more short-term risk than someone withdrawing money next year.

No, and it suggests no allocation. It reads your own answers back to you: a band from the total, and whether what your situation could absorb (capacity) agrees with what you say you would sit through (tolerance). What to hold is your decision, or the decision of a licensed adviser who knows your whole situation.

Because a mix picked from your goals, horizon and finances is advice aimed at you, and StockTools is a publisher, not an adviser: every reader gets the same pages and nobody is told how to allocate. Five multiple-choice answers also cannot see a pension, a mortgage or a tuition bill. What they can do honestly is describe themselves, including the gap between capacity and tolerance.

Each answer is worth points, and the total across all five questions lands in one of five bands, from Conservative to Aggressive Growth. Capacity adds your horizon and income answers (out of 6) and tolerance your drop and goal answers (out of 7). Nothing you enter is saved or sent anywhere: the whole quiz runs in your browser.

Divide the reward per share (distance from entry to target) by the risk per share (distance from entry to stop). A long trade entered at $130 with a $122 stop and $154 target risks $8 to make $24 — a 3.00 : 1 risk/reward ratio.

The break-even win rate is 1 ÷ (1 + R:R). At 2:1 you need to win 33.33% of trades to break even; at 3:1, 25%; at 1:1, 50%. This ignores fees and slippage, which raise the real threshold slightly.

There is no universal number — a ratio is only meaningful alongside a win rate. Many traders look for at least 2:1 so that a sub-50% win rate can still be profitable, but a 1:1 system with a high win rate can outperform a 4:1 system whose targets rarely get hit.

Yes. For a short, risk per share is the stop minus the entry (a short loses as price rises) and reward per share is the entry minus the target (a short profits as price falls). The ratio and break-even win rate formulas are then identical.

No. The ratio describes one trade's planned payoff shape, not its probability of success. Long-run results depend on the combination of ratio and actual win rate — which is why this tool shows the break-even win rate alongside the ratio.

They're related. Risk per share (entry minus stop) defines 1R. The planned risk/reward ratio is your target expressed in R before the trade; an R-multiple usually describes the realized result afterward — a trade that made twice its risk closed at +2R.

The Sharpe ratio is excess return per unit of volatility: (portfolio return − risk-free rate) ÷ standard deviation, all annualized. A portfolio returning 12% with a 4.5% risk-free rate and 15% volatility scores (12 − 4.5) ÷ 15 = 0.50 — half a point of excess return for every point of risk taken.

Rough conventions, not laws: below 1 is subpar, 1-2 is acceptable to good, 2-3 is strong, and above 3 is exceptional — and rare enough over long periods that it deserves a second look at the inputs. The S&P 500 has historically landed near 0.4-0.6 over multi-decade windows.

Sortino replaces total standard deviation with downside deviation, so only below-target volatility counts as risk. A strategy returning 18% against a 4.5% risk-free rate with 9% total volatility but only 6% downside deviation scores Sharpe (18 − 4.5) ÷ 9 = 1.50 and Sortino (18 − 4.5) ÷ 6 = 2.25 — the gap shows most of its volatility was upside.

Yes — whenever the portfolio returned less than the risk-free rate. A 2% return against a 4.5% risk-free rate with 10% volatility scores (2 − 4.5) ÷ 10 = −0.25. Ranking strategies by negative Sharpe is unreliable: among losers, higher volatility makes the number look less bad.

A Treasury yield matching your measurement period — the 3-month T-bill rate is the standard choice for annual figures. Using 0% inflates every Sharpe ratio; at a 4.5% bill yield, a 10%-return, 12%-volatility portfolio scores 0.46, not the 0.83 a zero rate would suggest.

It treats upside and downside swings identically, so it penalizes strategies with big winning months. It also flatters anything with smoothed or stale pricing — illiquid funds report artificially low volatility, which inflates Sharpe. And short return histories make the estimate noisy: one year of monthly data is 12 samples.

It is the sell price at which your sale proceeds, after sell-side fees, exactly equal what you spent to buy the shares including buy-side fees. Selling above it produces a gain; selling below it produces a loss.

Fees raise it. With no fees your breakeven equals your entry price; every dollar of round-trip fees adds (total fees ÷ shares) per share to the price you must reach before the trade is profitable.

In a total-return sense, yes — cash dividends you have already received offset part of your cost, so the calculator subtracts them. Note that dividends are generally taxable in the US, and this tool does not model taxes.

No. This tool covers buying and selling shares of stock with fees. An option's breakeven depends on the strike price and premium — use the Options Profit Calculator for that.

Because you pay fees twice — once to buy and once to sell. The breakeven move reflects the full round trip, spread across your share count and measured from your entry price.

No. It computes a pre-tax breakeven. US capital gains taxes apply to profits when you sell, and rates vary by holding period and income (as of 2026) — taxes are a separate calculation.

Correlation measures how closely two stocks move together, on a scale from +1 to −1. +1 means they rise and fall in near-lockstep; 0 means their day-to-day moves are unrelated; −1 means they mirror each other. Two holdings with a correlation near +1 give you little diversification — you effectively own more of the same bet.

Lower is better for diversification. Holdings correlated above ~0.8 behave almost identically, so adding the second one barely reduces your risk. Correlations near 0 (or negative) genuinely spread risk, because a bad day for one is not automatically a bad day for the other. The diversification score summarizes this across all your pairs.

Pearson correlation of daily returns computed from our end-of-day closing prices over the window you choose (6 months, 1 year, or 2 years). It is a derived statistic, not a live quote. Split-day price artifacts are filtered out so a stock split does not show up as a fake correlation.

No — and that is the most important caveat. Correlations drift, and they tend to spike toward +1 in a crisis: in a sharp market-wide selloff, things that normally look independent often fall together, exactly when you were counting on them not to. Treat these numbers as a backward-looking snapshot, not a promise.

Multiply shares by the difference between sale price and buy price for gross profit, then subtract buy and sell fees and add any cash dividends received for net profit. Net profit divided by total cost basis (shares × buy price + buy fees) gives your percent return.

No — all results are pre-tax. US capital gains tax depends on your holding period and income bracket, and rules change over time (as of 2026). The linked capital gains tax calculator provides an educational estimate.

Gross profit is the raw price move times shares. Net profit also subtracts buy and sell commissions and adds cash dividends collected — it is the number that actually hit your account.

The total return is compounded over a 365-day year: (1 + total return)^(365 ÷ holding days) − 1. For holdings under about a month, annualized figures extrapolate heavily and should be read as a convention, not a forecast.

Yes — enter the total cash dividends received while holding. If dividends were reinvested into more shares, your share count and cost basis changed; compute your true average cost first with the average cost calculator.

The calculator shows a negative net profit and percent return, clearly labeled as a loss. Losses may be usable to offset gains for US tax purposes — an educational topic covered by the capital gains tax calculator.

No. A split multiplies your share count by N÷M and divides the price by the same factor, so total value is mathematically unchanged. Any price move afterward comes from market reaction, not the split itself.

A split where you end up with fewer, higher-priced shares — e.g., in a 1-for-10, every 10 shares become 1 share at 10× the price. Companies often use reverse splits to meet exchange minimum-price listing rules.

If the math leaves a fraction (157 shares in a 1-for-10 → 15.7), brokers typically either credit the fractional share or pay "cash in lieu" — a cash payment equal to the fraction times the post-split price. Policies vary by broker.

Your total cost basis stays the same; the per-share basis is adjusted by the split ratio (halved in a 2-for-1, multiplied by 10 in a 1-for-10). Under US tax rules, the split itself is generally not a taxable event, though cash in lieu can be — rules vary and change (as of 2026).

Forward splits usually aim to keep the per-share price in a range that feels accessible and keeps options contracts (100 shares each) affordable; reverse splits usually aim to lift a low share price, often for exchange compliance.

No action is required — brokers adjust share counts and prices automatically on the effective date. Investors typically just verify the new share count and update any saved cost-basis or profit calculations.

On the underlying's close on the expiry day (the session before, when the expiry falls on a holiday), using the strikes and credit in the row. A win is a settle that pays more than nothing before fees.

The largest peak-to-trough drop, the longest run of losing trades, the fees at the per-leg cost you enter, and the base rate: how often the same placements, made on every session, would have won anyway.

No, and it says so. A trade left out of a record cannot be seen in it, so every figure describes only the rows pasted.

No. It is read and graded in your browser. Only the ticker symbols are requested, to read their daily closes.

Index options settle on index values, which we do not hold. Rows on SPY, IWM, QQQ and other US stocks and ETFs settle on their daily closes.

WACC is the weighted average cost of capital — the blended rate a company pays its capital providers, mixing the cost of equity and the after-tax cost of debt by their market-value weights. A firm with $150B of equity costing 9% and $50B of debt costing 5% pretax at a 21% tax rate has a WACC of about 7.74%.

WACC = (E ÷ (E + D)) × Re + (D ÷ (E + D)) × Rd × (1 − T). With E = $150B, D = $50B, Re = 9%, Rd = 5%, T = 21%: weights are 0.75 and 0.25, so WACC = 0.75 × 9 + 0.25 × 5 × 0.79 = 6.75 + 0.99 = 7.74%.

Interest is tax-deductible, so every dollar of interest shields profit from tax. A 5% pretax borrowing cost at a 21% tax rate really costs 5 × (1 − 0.21) = 3.95% after tax. Equity gets no such shield, which is one reason debt is the cheaper leg.

The standard shortcut is CAPM: Re = risk-free rate + beta × equity risk premium. With a 4.3% risk-free rate, a beta of 1.2, and a 5% equity risk premium: Re = 4.3 + 1.2 × 5 = 10.3%. The calculator includes these three inputs as an optional helper.

Market values. For equity that is market cap (price × diluted shares), not balance-sheet equity — the two can differ by 10x for asset-light companies. For debt, book value from the latest filing is the common practical proxy because most corporate debt trades near par.

When the DCF discounts unlevered free cash flow to the firm (FCFF), the matching discount rate is WACC — that pairing is what the DCF Calculator on this site expects. Discounting FCFF at the cost of equity alone overstates value because it ignores the cheaper debt leg.

Their Form CRS filed 4 February 2026 states a free Basic tier with one tradeable portfolio, and Premium at $29.99 to $199.99 quarterly or $99.99 to $699.99 annually, per portfolio, with a $500 minimum per portfolio. It also states an advisory fee "currently 0.00%" while noting they expect to charge a percentage in future.

Yes, according to its Form CRS filed 4 February 2026 and read 1 August 2026. Autopilot Advisers, LLC is SEC-registered (firm 331749) and provides, in its own words, limited portfolio management on a discretionary basis, with execution and custody at Public Holdings. That registration is what lets them manage money; it is also why they can do things we deliberately do not.

The underlying data. Congressional STOCK Act disclosures, 13F fund holdings, insider Form 4s and executive filings are public records, and we publish them with no account and no cap — along with the filing delay on every row, per-filer lag distributions, and measured post-disclosure returns.

Because executing trades for someone is investment management, which requires registration, a custodian and a fiduciary duty. We are a research publisher, not an adviser or a broker. We would rather say plainly that we do not do it than ship a half version.

That is an empirical question, and we publish our answer rather than asserting one. The disclosure-decay page measures what disclosed purchases actually did starting from the date the public could see them, benchmarked against the S&P 500, with thin buckets suppressed rather than printed.

As of 16 July 2026, when this page was written, YCharts did not publish prices: it was quote-only, requiring a sales call, and independent reviews reported roughly $3,600–6,000 per user per year depending on tier. We have not re-checked since. StockTools is free.

For retail investors, yes, going by YCharts features as reviews described them on 16 July 2026: it covers the most-used YCharts research features — a fundamentals screener, custom scoring models, comp tables, forensic scores, and export — free, and adds Congress, insider, and whale 13F tracking. It does not replicate YCharts’ advisor-only proposal and CRM tools.

Yes. The journal runs in your browser using local storage, so you can log a trade seconds after landing, with no account and no trial clock. Signing in is optional and only adds durable sync across devices — it does not unlock features.

As of August 2026 their published plans are $29.95, $49.95 and $79.95 per month (about 25% less paid annually), each with a 7-day trial. There is no free tier; their robots.txt disallows a /pricing-free/ path, which indicates a free plan page existed and was retired.

As of 1 August 2026, when we last checked their pages, three real things: automated broker sync across hundreds of brokers (we import CSV files instead), a tick-data market replay simulator, and a native mobile app. Replay needs licensed tick data, which our zero-cost-data rule rules out, so we do not pretend to offer it.

Any time, free. Export CSV or JSON in one click. We do not charge to get your own data out, and exports are never watermarked.

Join your trades with public filing data we already compute: which of your trades landed on an earnings day or inside an offering window, plus a tilt ledger comparing realized R by your logged emotion and confidence. No broker statement carries psychology data, and no journal we found carries filing context.

Neither is more "correct" — they differ only in how aggressive they assume you should be at a given age. The 110 (or 120) version leans more heavily into stocks, which fits investors with a long horizon and a stable financial base. Treat either as a rough starting point to adjust from, not a rule to apply literally.

Often yes. A pension or other steady, low-risk income stream already functions like the bond portion of a portfolio — predictable and low-volatility. That can free you to hold more stock in your actual investment accounts than a same-age person without one, since part of your financial life is already playing the safety role.

No — apply it per goal, not as one number for your entire net worth. Retirement money you will not touch for decades can sit in a stock-heavy mix; a house down payment you need in two or three years belongs mostly in cash or short-term bonds regardless of how old you are.

Your ability to sleep through a downturn matters as much as the math. A textbook-correct allocation you abandon by selling during a crash does worse than a slightly more conservative one you can actually hold through a bad year. Risk tolerance is a real input, not a rationalization to ignore.

For many people, yes. Someone with unstable income has less capacity to absorb a portfolio drawdown at the same time their paycheck might also be at risk — those risks can compound. Stable income, by contrast, is itself a form of safety that can support a more aggressive portfolio at any age.

No. The price per coin depends only on how many coins the project created, which is arbitrary. A $0.01 coin with a huge supply can already be worth more in total than a $50 coin. What matters is market cap and how much new demand it would take to move it, not the sticker price.

Market cap is price times the coins circulating right now. Fully diluted value is price times the maximum coins that can ever exist. If a coin has most of its supply still locked, its fully diluted value can be many times its market cap, and those future coins usually mean future selling pressure.

Yes, if the circulating supply falls at the same time — for example through token burns. It can also fall while more coins unlock. This is exactly why price alone is misleading: you have to watch price and supply together.

Because market cap, supply, and volume are what actually describe a coin's value and liquidity, while the unit price hides the supply behind it. Our crypto pages lead with those metrics so you compare coins on what matters, not on a number the project set arbitrarily.

No. A high market cap means the market currently values the coin highly, not that the valuation is justified or durable. Crypto is volatile and largely unregulated; large coins have lost most of their value before. Market cap is a measurement tool, not a safety rating.

Divide the annual dividend per share by the current share price. A company paying $0.50 quarterly pays $2.00 a year; on a $50 stock that is $2.00 / $50 = 4.0%. Check whether a quote page is annualizing the latest payment (forward yield) or summing the last four (trailing yield) — they differ after raises, cuts, or special dividends.

For most operating companies, dividends under about 60% of net income and under 80% of free cash flow leave room for bad years. REITs and MLPs run far higher by legal design, so judge them on FFO or distributable cash flow instead. The trend matters as much as the level: a ratio climbing steadily toward 100% is the classic pre-cut pattern.

Usually it is a warning. Yields that high most often appear because the price collapsed, which means the market expects a cut. Check the payout ratio against both earnings and free cash flow: if the company pays out more than it generates, the 10% is temporary. A genuine 10% yield from a covered, stable payer exists but is rare.

No. Buying on or after the ex-dividend date means the seller keeps the payment. Under T+1 settlement (in effect since May 2024), the ex-date and record date usually coincide, so the last day to buy with the dividend is the business day before the ex-date.

Each share is worth less by the amount of the payment it just shed, so the opening price adjusts down by roughly the dividend: a $40.00 stock going ex a $0.50 dividend opens near $39.50, all else equal. Market-wide moves can mask the adjustment, but it is embedded in the open.

Neither is inherently better — both are components of total return, and a dollar is a dollar whether it arrives as cash or as a higher share price. The right mix depends on your goals: an investor who needs current income may prefer dividend cash flow, while an investor decades from needing the money often benefits more from a company reinvesting at a high internal rate of return rather than paying it out.

Yes. On the ex-dividend date the price mechanically opens lower by roughly the dividend amount, because the company just handed shareholders cash it previously held. A $60 stock paying a $0.50 dividend opens near $59.50, all else equal — the total value held by a shareholder (stock plus cash) is essentially unchanged.

Because they typically have more high-return projects — new products, new markets, new capacity — than they have cash to fund them with. Reinvesting a dollar at a high internal rate of return usually beats handing that dollar to shareholders, so fast-growing companies retain cash rather than distribute it, at least until growth opportunities start to run out.

Yes, and the gap widens the longer money stays invested. Each reinvested dividend buys additional shares, which then generate their own dividends and their own share of future price appreciation. Over multi-decade horizons, the difference between spending dividends and automatically reinvesting them can easily amount to a large share of the total ending value.

Be cautious. Yield is the dividend divided by the price, so a falling share price mechanically raises the yield even though nothing about the payment improved — often the market is anticipating a dividend cut. Check the payout ratio against earnings and free cash flow before treating a high yield as attractive; see the deep-dive on dividend yield and payout ratio for the specific math.

No. DCA smooths your entry price and removes the pressure to time the market, but if the coin falls over your entire buying window you still lose money. It reduces timing risk, not the risk that the asset itself performs badly or goes to zero.

Weekly or biweekly works for most people: frequent enough to smooth the price, infrequent enough to keep per-trade fees small. Daily buying can help in very volatile stretches but only if your fees per trade are low, since many small buys multiply the fee drag.

For a volatile single asset like a coin, averaging in reduces the chance of putting everything in right before a large drop. Historically, lump-sum investing beats averaging more often in broad stock indexes because they trend up, but crypto's sharper swings make the timing insurance of DCA more valuable to many investors.

Percentage-based trading fees are charged on every buy, so frequent small purchases raise your true average cost. If a fee is a large share of each contribution, widen the interval. Use the crypto profit calculator to model an exit with fees included.

Yes. The crypto DCA calculator lets you enter a contribution, frequency, duration, and target price to see total invested, coins accumulated, and projected value. It is a what-if for framing a plan, not a backtest or a prediction.

Functionally yes — fixed dollars on a payroll schedule, blind to price. The one difference: with paycheck investing there is no lump-sum alternative, since the money arrives over time. The DCA-versus-lump-sum debate only applies when you already hold cash you could invest today.

No. It guarantees your cost per share is at or below the average price over your buying window, nothing more. If the asset keeps falling after the window closes — or never recovers — every one of your purchases can still be underwater.

Shorter than instinct suggests. The studies that compare DCA favorably use windows of roughly 3 to 12 months; every extra month in cash costs expected return in a market that rises most years. A schedule that stretches multiple years is a prolonged underweight, not extra safety.

Intent and trigger. DCA buys on a calendar, decided in advance, regardless of price. Averaging down buys because a position fell — a reaction, usually to a single stock. The first is a discipline; the second is a decision to add to your losing idea, which needs its own justification.

Because the alternative for many people is not a lump sum — it is paralysis. DCA trades some expected return for a smaller worst case and a schedule you will actually follow. Losing 1-2% of expected return beats sitting in cash for three years waiting for a comfortable entry.

The cost discount does: the gap between your harmonic-mean cost and the average price widens with volatility, since cheap months buy disproportionately many shares. But volatility cuts both ways — the same swings raise the odds the asset is lower when your window ends. More discount is not the same as more profit.

A factor is a persistent, measurable characteristic shared by many stocks — like being small, cheap, or recently rising in price — that has historically correlated with a different pattern of returns than the overall market.

The most commonly cited are size (small companies vs. large), value (cheap-relative-to-fundamentals vs. expensive), momentum (recent price winners vs. losers), quality (profitable, low-debt, stable-earnings companies), and low volatility (lower-swing stocks vs. higher-swing ones).

No. They can go quiet for long stretches. Value underperformed growth for roughly a decade before and around 2020-2021, which is the clearest recent example of a well-documented factor simply not paying off for years at a time.

One argument is that once a pattern is published and widely understood, enough investors try to exploit it that the extra return it used to offer gets competed away. Others argue the underlying risk or behavioral cause is still present and premiums just run in cycles. The debate is unresolved among academics.

It shows which characteristics — size, value, momentum, quality, low volatility — your portfolio or fund is tilted toward relative to a broad benchmark. That helps explain why your portfolio moved differently than the market in a given period, but it does not predict what will happen next.

No. Operating cash flow is the cash the business operations generate before any investment in equipment or facilities. Free cash flow subtracts capital expenditures from it. A company can post strong operating cash flow and near-zero FCF if it must spend heavily on assets to keep running.

Yes, and it happens constantly. Heavy capex, ballooning receivables, or inventory builds can push FCF negative in a year with positive net income. It is a problem when it persists for years without a clear growth-investment explanation, not when it appears in a single expansion year.

Relative to interest rates, higher is a thicker cushion. Yields around 4-6 percent with growing cash flows have historically been attractive; yields above 10 percent often signal the market expects the cash flow to shrink. Always compare against the current risk-free rate rather than a fixed threshold.

Because SBC is a genuine compensation cost paid in shares instead of cash, and the standard FCF calculation adds it back as a non-cash item. Subtracting it, or modeling the dilution it causes, keeps the metric honest - especially for technology companies where SBC can run 10-25 percent of revenue.

On the cash flow statement in the 10-K or 10-Q: total cash from operating activities, minus purchases of property, plant, and equipment from the investing section. Some companies report an FCF figure directly, but definitions vary, so computing it yourself keeps comparisons consistent.

No, it is 17.6%. You pay $85 for $100 of stock, so the return is measured against the $85 you committed: 100 divided by 85 is 1.176. With a lookback on a rising stock the figure can be far higher.

A provision that sets your purchase price at the discount applied to the lower of the offering-date price and the purchase-date price. On a stock that rose from $40 to $70 during the period, a 15% discount with lookback means paying $34 for a $70 share.

More than two years from the offering date and more than one year from the purchase date. Both must be satisfied. Missing either one makes it a disqualifying disposition.

Your employer issues Form 3922 for each ESPP purchase, showing the offering-date price, purchase-date price and what you paid. It is not filed with your return, but it carries the numbers needed to compute ordinary income and correct cost basis, so keep it with your tax records.

No. The limit is on the value of stock, measured at the offering-date price. At a 15% discount you would spend $21,250 to reach $25,000 of stock value. Many plans also cap contributions as a percentage of pay, which usually binds first.

It depends on how large the tax saving is against how much single-stock risk you are carrying. On the worked example the saving was about $6 per share, while the stock moved far more than that over the same period. That is a personal financial decision worth running past a fee-only advisor rather than a rule.

Common planning guidance caps any single stock at roughly 10% to 20% of investable assets, and suggests the lower end for employer stock because your income already depends on the same company. It is a rule of thumb, not a computed optimum.

Because it correlates with your income. A bad year for the company can hit your bonus, your job security and this position at the same time, which is the opposite of what diversification is meant to achieve.

That most individual US stocks underperformed one-month Treasury bills over their lifetimes, and that all net wealth creation traced to a small minority of companies. Single-stock outcomes are heavily skewed rather than clustered near the average.

Compare the two numbers. On a $260,000 position, trimming to a 15% target might cost around $25,000 in tax at long-term rates, while a 60% decline in the same position would cost $156,000. The tax is certain and smaller; the risk is uncertain and larger.

A standing rule rather than repeated decisions: sell RSUs at vest, where selling triggers almost no extra tax, sell ESPP shares at purchase to bank the discount, and set a ceiling on total employer exposure that you trim back to whenever a vest breaches it.

It can be, for someone with a large diversified portfolio elsewhere, a long horizon and a deliberate decision to take the risk. The distinguishing feature is that they chose the size on purpose rather than arriving at it by never selling.

It is the 4% rule written the other direction. If a 4% annual withdrawal is meant to be sustainable, the portfolio has to equal 25 times that withdrawal amount, since 1 divided by 0.04 equals 25. Any assumption that changes the safe withdrawal rate — a longer retirement, a more conservative portfolio, a lower risk tolerance — changes the honest multiple away from exactly 25.

Expected retirement spending, not current spending, and the two are often different. Some costs drop out (commuting, mortgage, saving for retirement itself) while others rise (healthcare, travel, long-term care). Estimating a realistic retirement budget first, then applying 25x to that number, gets you closer than applying it to what you spend today.

Yes, and often substantially. Social Security, a pension, or other reliable income only needs to be covered once — your portfolio only has to fund the gap between total spending and that other income. Applying 25x to your total spending instead of the shortfall typically overstates the target by a large margin.

Often not on its own. Early retirement means a longer time horizon for the portfolio to support, plus more years of inflation eroding a fixed target. Many early retirees plan around a lower withdrawal rate than 4%, which pushes the effective multiple above 25x — sometimes 30x or higher, depending on how much certainty they want.

Once you have a target number — ideally based on your expected shortfall, not total spending — the next question is whether your current savings and contribution rate get you there by your target date. That is what a goal-based planning calculator is for: it takes your target, current savings, timeline, and expected return, and shows whether you are on pace or how much more you would need to save.

Yes. The tax attaches at vest, based on the market value that day, and selling has nothing to do with it. This is why people can owe tax on stock that later falls sharply in value.

Because the withholding is usually a flat 22% supplemental rate rather than your actual marginal rate. If you are in the 32% to 37% range, roughly 10 to 15 cents of every dollar of RSU income went unwithheld, plus any state tax.

Almost certainly not. Your basis is the market value on the vest date, which was already taxed as W-2 income. Brokers frequently report the out-of-pocket cost instead, which is zero. The sale gets reported with an adjusted basis on Form 8949, using the supplemental statement as support.

That is a personal financial decision rather than a tax one, because selling at vest produces almost no additional tax. Selling immediately converts compensation to cash and removes single-stock concentration; holding is a decision to invest in your employer at that price. Neither answer is universal, and a fee-only advisor is the right person to run it against your full situation.

No. The 83(b) election applies to restricted stock awards, where shares are transferred at grant. RSUs are a contractual promise to deliver shares later, so there is nothing to elect against. Confirm which instrument your grant documents describe.

More than one year from the vest date, not the grant date. The favorable rate applies only to appreciation above the vest-date price, since the vest-date value was already taxed as ordinary income.

Yes. The lender of the shares is still owed the dividend, so the short seller pays it out of pocket as a payment in lieu on every share borrowed. On a 200-share short of a stock paying $1 per quarter, that is $200 a quarter added to the cost of the position. Payments in lieu can also be taxed less favorably for the recipient than qualified dividends.

A forced repurchase. If the lender recalls shares and the broker cannot find a replacement borrow, or a position fails to deliver under Regulation SHO's close-out rules, the broker buys the stock back at market on the short seller's behalf, at whatever the current price is. The timing is the broker's, not yours, and buy-ins tend to cluster at the worst moments, since recalls spike when a stock is running.

No. Short selling requires a margin account, because the position is built on borrowed shares and carries maintenance requirements. IRAs cannot sell short directly. The common substitutes are put options and inverse ETFs, which cap the maximum loss but carry their own costs: option premium decay in one case, daily-reset compounding drag in the other.

Borrowed shares that are sold land in a new owner's account, where they can be lent and sold again. The same underlying share can back more than one short position, so total shares short can legally exceed the float without any naked shorting. GameStop's reported short interest topped 100% of float in January 2021 by exactly this mechanism.

A halt freezes the position: no covering until trading resumes, while borrow fees keep accruing. Delisting through bankruptcy is the short's best case in the end, since worthless shares cost nothing to replace, but the wind-down can take months, and fees accrue the whole way. Some brokers will close out near-zero positions early; the terms are theirs to set.

Yes. FINRA's options guide says index options are cash-settled, so exercise produces a cash payment instead of a delivery of securities. Options on exchange-traded funds that track an index, such as SPY, are equity options and settle in shares.

The Options Clearing Corporation adjusts the contract so the position matches the split. A whole-number split usually means more contracts at a lower strike. Other adjustments change the number of shares each contract covers, and FINRA's rule still counts the contract as one, so check what it delivers.

To collect the dividend. FINRA notes that holders of in-the-money calls may exercise early for the payout, which is why sellers face a higher assignment risk the day before the ex-dividend date.

Only if it is big enough. The OCC does not adjust a contract for a special cash dividend of less than $0.125 a share (or $12.50 a contract where the unit of trading is larger than 100 shares), per SEC Release 34-99641 of March 2024. Regular dividends are not adjusted for at all.

AM settlement uses opening prices on expiration day and the option stops trading the day before. PM settlement uses the closing price on expiration day and the option trades until 4:00 p.m. Eastern, which is the standard for stock options.

On the third Friday of the month, per FINRA. Weekly options most often expire on Fridays for single stocks, and daily options are listed only on indexes.

One business day after the trade date. The SEC shortened the standard cycle from T+2 to T+1, with a compliance date of 28 May 2024.

No. The exchange, the company's transfer agent, and your broker handle everything: shares multiply, price and per-share cost basis divide, and options contracts are adjusted by the OCC. Your position value and eventual tax treatment are unchanged. The only action worth taking is updating any price alerts you set at pre-split levels.

A standard split is not a taxable event — no shares were sold and total cost basis is unchanged; it just spreads over more shares. The common exception is cash in lieu of fractional shares in a reverse split, which is treated as a small sale of the fraction and can generate a minor reportable gain or loss.

Because trading never stops moving the price. The split divides the reference price precisely, but the stock opens wherever supply and demand put it that morning, so the post-split price is the ratio math plus normal market movement. Any gap beyond the ratio is the day's trading, not the split.

Not always, but the base rate is poor. Most reverse splits exist to cure a listing deficiency after a stock spent 30 straight trading days below the $1.00 minimum bid, which means the damage predates the split. Studies find reverse-split stocks underperform on average afterward. Treat it as a prompt to examine the financials, not an automatic sell or an automatic bargain.

Somewhat, and mostly through the options market. A standard contract covers 100 shares, so cutting the share price by 4x or 10x cuts the capital per contract by the same factor and tends to widen options participation. For the shares themselves, fractional trading has narrowed the effect, though bid-ask spreads quoted in cents are proportionally smaller on lower-priced shares.

Brokers typically cancel open orders on the effective date because the old prices are meaningless, so standing limit and stop orders need to be re-entered at split-adjusted levels. Basis records on covered shares adjust automatically; for very old, pre-2011 uncovered shares, you are the one responsible for tracking the split-adjusted basis.

No. Historical backtesting requires long-run, point-in-time price and fundamentals history that is expensive to license, and we deliberately do not pay for it. What we do have, free and live, is a Monte Carlo simulator that stress-tests a portfolio against thousands of randomized possible futures instead of one historical past — a different, forward-looking way to reason about risk.

No. It is a record of how a portfolio would have performed during one specific stretch of history. Markets rarely repeat the exact same sequence of events, so a strong backtest is evidence a strategy is not obviously broken, not a promise it will repeat that performance.

It is the distortion that appears when a historical dataset only contains things that still exist today. Funds that were liquidated, stocks that were delisted, and strategies that were abandoned tend to vanish from the record, which makes the surviving population look better on average than the full original population actually was.

A backtest replays one real historical sequence of returns. A Monte Carlo simulation generates many random sequences from a distribution you specify — an expected return and volatility — and shows the range of outcomes across all of them. Backtesting shows you one real past in detail; Monte Carlo shows you the spread of plausible futures, with the tradeoff that its normal-distribution assumption tends to underweight rare, extreme crashes.

There is no universal cutoff, but above roughly 1.0 is often considered decent for a diversified portfolio and above 2.0 is unusually strong over a long period. Treat any single Sharpe figure with caution — it depends heavily on the exact time window used, and a suspiciously high number over a short window is more often a sign of overfitting than of real skill.

Use ICANN's free lookup at lookup.icann.org, the tool the CFTC's AI trading bot advisory points to. Enter the domain and read the creation and expiry dates. A one-year registration behind a claim of many years of results is worth noting.

Find the same number on the regulator's own register: NFA BASIC for CFTC registrants, the SEC's Investment Adviser Public Disclosure site, or FINRA BrokerCheck. Then compare the phone number and website on the register with the offer's, because impersonators copy real firms' registration details.

The CFTC, the SEC, NASAA and FINRA all treat it as one. FINRA notes that every investment carries some risk, and the CFTC case study in its AI trading bot advisory describes a program that guaranteed at least 10% a month and was in reality a Ponzi scheme.

A win rate needs its losses to mean anything. A list of 50 wins next to an 82% headline implies about nine losses the list does not show. Ask for every call in a fixed window, with the entry, the stop and how each one closed.

No. It describes method, drawn from two offers we read on 3 August and 20 October 2026, and it names neither. Each check is a fact you can see on a page, not a verdict on a firm.

The CFTC takes tips and complaints and points readers to the FBI as well. The joint SEC, NASAA and FINRA alert lists the SEC at sec.gov/tcr, FINRA's complaint form and your state securities regulator.

The statement a person paid to describe a security has to make: that they received, or will receive, consideration from an issuer, underwriter or dealer, directly or indirectly, and how much. It comes from Section 17(b) of the Securities Act of 1933.

The statute requires disclosure of the receipt of the consideration and the amount of it. A line saying only that the writer was compensated gives the first and leaves out the second.

The statute's word is consideration, not cash, and it covers payment received or still to come. A share count is worth reading closely, because a promoter holding shares of the stock it is promoting can sell them while the campaign runs.

We do not make legal judgments; that is a regulator's job. As information, a table that names no payer and no amount tells you nothing the statute asks for, so the pitch above it is paid content with the payer unknown.

No. A disclosure tells you who paid and how much. It says nothing about the company, whose own filings are the other half of the picture.

The SEC takes tips at sec.gov/tcr, and FINRA and state securities regulators take complaints as well.

Four parts and 23 items. Part I covers the business and its risks, Part II the market for the stock, management's discussion, the financial statements and controls, Part III governance and pay, and Part IV the exhibits. Apple's fiscal 2025 report follows that layout exactly.

Item 1A, in Part I. In Apple's fiscal 2025 report they run from page 5 to page 17. Compare the list with the previous year's: the new paragraphs tell you more than the familiar ones.

Because the phrase appears in the table of contents and in cross-references as well as the heading. In Apple's fiscal 2025 10-K it appears five times and the real heading is the third. Use the page number from the contents instead.

Item 11, in Part III, which often points to the proxy statement instead of printing the figures. Apple's fiscal 2025 10-K says the information will be included in a proxy statement filed within 120 days after the year end and incorporates it by reference.

No. The financial statements in Item 8 come with the independent auditor's report, and in Apple's case an opinion on internal control as well. Management's discussion, the risk factors and the rest of the document are the company's own writing.

Item 5, whose full title ends with Issuer Purchases of Equity Securities. The cash spent on buybacks also shows up in the cash flow statement in Item 8.

There is not one — that is the core point. Growth without margin, earnings without cash flow, or a low valuation on a deteriorating business are all cases where one metric looks good while the full picture is weak. The combination matters more than any single figure.

No. A low P/E can mean a stock is undervalued, or it can mean the market has correctly priced in slowing growth, declining margins, or balance sheet risk. Check the P/E against the growth rate and quality of earnings before treating it as cheap.

Common causes include rising receivables that have not yet been collected in cash, aggressive revenue recognition, or capital spending that the income statement does not fully reflect. A widening gap between net income and free cash flow over several years is worth investigating before trusting the earnings trend.

No — many stable, profitable businesses use debt productively. The relevant question is whether free cash flow comfortably covers debt service. Debt becomes a red flag when it is combined with thin margins and weak or shrinking cash flow, not simply because it exists.

Fast revenue growth paired with shrinking margins often means a company is spending more to generate each new dollar of sales — growth that is getting more expensive, not more valuable. Growth paired with stable or improving margins is a healthier combination, since it suggests the business gets more efficient as it scales.

It is an annualized one standard deviation move of about 32 percent, which scales to roughly a 2 percent typical daily move (32 divided by the square root of 252 trading days, about 15.9). On a $150 stock, the options market is pricing ordinary days of around $3. It is a price for movement, not a prediction of direction.

Divide the cost of the at-the-money straddle by the stock price. A $200 stock with the $200 call at $7.10 and the $200 put at $6.90 has a $14.00 straddle, so the implied move to that expiration is 7 percent. That is the approximate break-even move — the swing at which both buyer and seller of the straddle come out flat.

IV rank places today's IV inside the 52-week high-low range; percentile counts the share of days in the past year with lower IV. One spike to an extreme stretches the range and suppresses rank while percentile barely notices, so the two can disagree sharply — rank 25 and percentile 75 on the same day. Percentile is usually the more robust of the two.

Because the move was already paid for. Pre-earnings IV inflates the price of options covering the report; once the report is out, that event premium evaporates — the IV crush. A straddle bought for a 9.2 percent implied move loses money on a 6.2 percent gap: the direction was fine, the magnitude fell short of what was priced in.

Neither — it is expensive. High IV means options cost more, which hurts buyers and compensates sellers for larger expected swings. Whether it is an opportunity depends on the comparison: IV against the stock's own realized volatility and its own one-year history, and whether a known event justifies the premium. High IV with no event on the calendar reads differently than high IV the day before earnings.

No. IV prices the expected size of movement, not its direction — a 40 vol stock is priced for big moves both ways. The nearest thing to directional information in the vol surface is skew, the premium of downside puts over upside calls, and even that measures what protection costs rather than what will happen.

Neither wrapper is inherently cheaper — cost depends on the specific fund. Many providers price their mutual fund and ETF versions of the same index nearly identically, and some of the lowest-cost options on the market exist in both forms. Compare the actual expense ratio of the specific fund you are considering rather than assuming one structure wins by default.

It is possible in theory — an ETF trades at a live market price that can drift slightly from its underlying net asset value, especially in a fast-moving or thinly traded market. For a widely held, heavily traded index ETF this gap is typically small. Using a limit order instead of a market order removes most of the risk for anyone concerned about it.

Most major online brokers now offer commission-free trading on ETFs and stocks alike, so this has largely stopped being a differentiator. It is still worth confirming with your specific broker, particularly for less common ETFs or less common brokers.

No. Capital-gains distributions only create a tax bill in a taxable brokerage account. Inside a Roth IRA, traditional IRA, or 401(k), the account itself already shelters those distributions, so the ETF tax advantage described above simply does not apply — pick based on the other factors instead.

Some providers offer a direct, tax-free conversion from their mutual fund share class into their own ETF share class of the same index fund, but this is specific to certain fund families and not universal. Selling one and buying the other on the open market is a taxable event in a taxable account, so check whether your specific fund offers an in-kind conversion path before assuming you can switch for free.

An RSU requiring two conditions before shares are delivered and taxed: time-based vesting and a liquidity event such as an IPO or acquisition. Until the second trigger fires there is no taxable income, however many shares have satisfied the first.

Because every share that already cleared time-based vesting becomes taxable at once. Years of deferred compensation land in a single tax year, at ordinary rates, stacked on top of salary.

Most commonly 180 days from the offering, sometimes 90. Many companies now include staggered early-release provisions tied to the first earnings report or to the stock trading above a threshold.

Generally not on your own initiative, which is the core of the problem. Many companies arrange a sell-to-cover at the IPO or use net settlement to fund withholding, but those are company-run mechanisms rather than something an individual can elect during the restricted period.

Often not. Withholding uses the flat 22% supplemental rate up to $1 million and 37% above it, while the income itself may sit in the 37% bracket from the first dollar once stacked on salary. On $1.2 million the federal gap alone can approach $150,000.

No, but expiry does release a large block of supply on a known date, and prices often soften into it. Sellers are typically diversifying concentrated positions rather than expressing a view, and Section 16 insiders are usually trading through preplanned 10b5-1 arrangements.

Lower is better. Holdings correlated above ~0.8 behave almost identically, so adding the second one barely reduces risk. Correlations near 0 or negative genuinely spread risk. The diversification score summarizes this across all your pairs into one number.

There is no magic count — it is about correlation, not quantity. A handful of genuinely different holdings can be better diversified than dozens of similar ones. A broad index fund is diversified across hundreds of names in one holding; a pile of same-sector stocks is not, no matter how long the list.

Historically, high-quality government bonds have often moved independently of — or opposite to — stocks, which is why the classic 60/40 portfolio exists. That relationship is not guaranteed (2022 saw both fall together), but structurally different asset classes tend to diversify better than stocks that merely appear uncorrelated.

Because correlations rise in a crisis. In a broad-market panic, things that normally move independently often fall together as investors sell everything at once. Day-to-day correlation understates how concentrated your risk becomes in exactly the worst moments.

Not under the regular tax system. The spread between strike and market value is an adjustment for the alternative minimum tax, so whether you owe anything depends on your full AMT calculation on Form 6251 for that year.

More than two years from the grant date and more than one year from the exercise date. Satisfying both makes it a qualifying disposition, where the entire gain above the strike price is long-term capital gain.

It becomes a disqualifying disposition. Ordinary income is the lesser of the spread at exercise or your actual gain at sale, and the rest is a capital gain. Selling in the same calendar year as the exercise also removes that exercise’s AMT adjustment.

The spread between strike price and market value is ordinary income on the exercise date, reported on your W-2 with payroll tax withheld. Your basis becomes the market value at exercise, and only later appreciation is a capital gain.

Only $100,000 of stock, measured at the grant-date price, can become exercisable as ISOs in a single calendar year. Any amount above that is treated as a non-qualified option even if the grant document calls it an ISO.

ISO status generally requires exercise within three months of termination, and many plans make that the expiration date for the options entirely. Exercising after the window can still be possible under some plans, but the options are then taxed as NSOs. Check the plan document before resigning, not after.

A portfolio built from a small number of broad, low-cost index funds — often two or three, or a single all-in-one fund — designed to be assembled once and left alone with minimal ongoing management or rebalancing.

Neither is inherently better. A two-fund portfolio (domestic stock plus bonds) is simpler; a three-fund portfolio adds international stock for broader diversification at the cost of one more fund to track and rebalance. The right choice depends on how much complexity you are willing to manage.

There is no guarantee either way in any given year. The argument for lazy portfolios is not that broad index funds always beat active management, but that low costs and behavioral simplicity tend to compound favorably over long periods, and that most investors struggle to consistently pick winning active strategies in advance.

You can, but at that point it is no longer purely "lazy" — every fund added is another decision to track, rebalance, and justify. Some investors add a small satellite position around a lazy core; others prefer to keep the whole thing broad and skip tilts entirely.

There is no single rule, but many investors check once a year or when an allocation drifts meaningfully from its target — for example a few percentage points off the intended stock/bond split. All-in-one funds handle this automatically; two-fund and three-fund portfolios require you to do it yourself.

They are the lookback lengths of the three EMAs: a 12-period fast average, a 26-period slow average, and a 9-period average of the MACD line for the signal. They date from an era of six-day trading weeks and stuck as convention. Shorter settings react faster but whipsaw more; longer settings smooth more but lag more. There is no setting that removes the tradeoff.

A signal-line cross means the MACD line changed direction relative to its own recent average, a fast and frequent event. A zero-line cross means the 12-period EMA and 26-period EMA actually swapped places, which is rarer and describes a bigger shift in trend. The first flags a change in thrust; the second confirms a change in the underlying averages themselves.

The histogram measures whether the gap between the MACD line and signal line is widening or narrowing, so it shrinks as soon as momentum decelerates, even while price is still inching higher. That early sensitivity cuts both ways: it flags genuine stalls sooner, and it also flags harmless pauses that resolve in the original direction.

The arithmetic works on any bar size, since the periods just count bars. But the meaning changes: 26 five-minute bars cover about two hours, while 26 weekly bars cover half a year. Shorter timeframes carry more noise, so crossovers fire more often and fail more often. The indicator does not know what timeframe it is on; the reader has to adjust expectations.

MACD is unbounded and measures the dollar gap between two EMAs, so it is mainly a trend and momentum-direction gauge. RSI is squeezed into a 0 to 100 scale and measures the recent balance of up days versus down days, so it is mainly a speed gauge. They are built from the same closing prices, which means using both is a second opinion from a related witness, not an independent one.

On its own, no. A crossover reports that one average of past prices moved relative to another average of past prices. Whether acting on it makes sense depends on the broader trend, the timeframe, and above all how much is at risk if the signal fails, which is a position-sizing and exit-planning question rather than an indicator question.

It is the settle price at expiration that would minimize the total payout option writers owe across all open calls and puts, which makes it the price where option buyers collectively lose the most.

For each candidate settle price, sum the intrinsic value of every in-the-money call and put weighted by open interest and 100 shares per contract. The candidate with the smallest total is the max pain price.

Sometimes it finishes nearby, and dealer hedging provides a real mechanism, but academic evidence only firmly supports clustering near strikes generally, not reliable settlement at max pain specifically. Treat it as context, not a target.

Expiration week, especially the final day, for liquid names with heavy open interest. Far from expiration the number drifts too much to mean anything, and an earnings report before expiry overwhelms it.

No. Max pain is a payout-minimization point computed from open interest. Gamma exposure estimates how dealers must hedge as price moves. They are related lenses on the same positioning and are best read together.

A few thousand paths is plenty for stable percentile estimates; going from 5,000 to 10,000 barely changes the answer. More paths reduce random noise in the output but do not make the underlying assumptions any more accurate.

They are your assumptions. As rough reference points, a broad US stock index has historically returned around 10% a year (about 7% after inflation) with roughly 15–20% annual volatility; a 60/40 stock-bond mix is lower on both. Try a range of inputs and see how sensitive your plan is.

They complement each other. The 4% rule is a simple heuristic from historical data; Monte Carlo lets you stress-test any withdrawal rate against your own assumptions and see the probability of success. Use the rule as a starting point and the simulation to pressure-test it.

Because uncertainty compounds. A good or bad year early on gets multiplied by all the years after it, so small differences fan out into large ones over decades. That widening cone is the visual signature of long-horizon risk.

Neither is objectively better. The EMA weights recent prices more, so it reacts to turns faster but produces more false signals; the SMA is slower and steadier. Which trade-off suits you depends on your time horizon — and long-run tests show no setting that wins in every market.

They map loosely to a month, a quarter, and a year of trading days, and they became standard because everyone watches them. Their importance comes from shared attention, not from any mathematical property — 45 or 210 would smooth prices almost identically.

No. A golden cross can only form after months of rising prices, so it confirms a trend change that already happened. Historical results after crosses are mixed — some preceded further gains, others arrived near tops. It is a summary of the past, not a forecast.

A whipsaw is a false signal in a sideways market: price crosses its moving average as if starting a trend, the move fizzles, and price crosses back. Each whipsaw is small, but in a long choppy stretch they stack up — the classic weakness of any trend-following tool.

Some traders place stops just beyond a rising average, treating it as dynamic support. That is one convention, not a rule — averages get sliced through routinely. What matters more is knowing the dollar risk that stop implies, which is a risk-reward question, not a chart question.

The math is identical on 5-minute, daily, or weekly charts — average the last N closes. But shorter timeframes carry more noise, so intraday averages whipsaw more. The 20/50/200 conventions and most of the research around them refer to daily charts.

The difference between what your retirement plan paid for employer securities and what those shares are worth when distributed. Under the NUA election the cost basis is taxed as ordinary income at distribution and the appreciation at long-term capital gains rates when sold.

A triggering event, meaning separation from service, age 59 and a half, disability or death, plus a lump-sum distribution of the entire plan balance within one tax year, with the employer securities distributed in kind rather than sold.

No. Once employer securities are inside an IRA the NUA character is permanently lost, and there is no correction procedure. This is the most common and most expensive way the opportunity is destroyed.

No. The NUA portion receives long-term capital gains treatment by statute regardless of holding period, so shares distributed one day and sold the next still qualify. Appreciation occurring after the distribution follows normal holding-period rules.

When the cost basis is high relative to current value, because you would pay ordinary tax on a large basis to shelter a small gain. A common screen is whether the basis is under roughly a quarter to a third of the current value.

No. It applies only to employer securities held inside an employer-sponsored retirement plan such as a 401(k) or ESOP. Shares purchased in a taxable account already receive capital gains treatment.

Delta is the option's price change per $1 move in the stock; gamma is the change in delta per $1 move in the stock; theta is the value lost per day with nothing else changing; vega is the price change per one-point move in implied volatility. Each is quoted per share and multiplied by 100 for a standard contract.

Approximately, and traders use it that way as a quick gauge — an at-the-money option really is close to a coin flip to finish in the money. But delta is a hedge ratio first, not a probability, and rates, dividends, and volatility skew push the two apart. Treat the probability reading as a rough sketch, not a quote.

Because short gamma means exposure moves against them automatically: a rally makes their short position shorter, a selloff makes it longer, and hedging forces buying high and selling low. At 30 days out the effect is mild; near expiration, at-the-money gamma explodes — in the worked example it went from 0.05 to about 0.21 — turning small stock wiggles into rapid forced rehedging losses.

No. For at-the-money options, theta accelerates as expiration approaches — the example position decayed at about $6 per day with a month left and about $25 per day with two days left. Deep in- or out-of-the-money options behave differently, since they hold little time value to lose in the first place. Weekends and holidays also pass on the calendar even when markets are closed.

Routinely. The worked position gains about $52.50 on a $1 rally through delta and gamma, but loses $6 to a day of theta and $11 per point of falling implied volatility. A slow grind upward paired with an IV collapse — the standard post-earnings pattern — can leave a call buyer down despite being right on direction. The Greeks itemize exactly where the money went.

There is no single correct interval. Once a year is a common calendar-based default that balances simplicity against staying reasonably close to target. Threshold-based rebalancing, such as acting whenever an asset drifts more than five percentage points from its target, responds faster but takes more monitoring. Either approach beats never rebalancing at all.

Not reliably, and that is not really its purpose. Sometimes trimming a winner to buy a laggard costs you return if the winner keeps winning; sometimes it helps if the trend reverses. The dependable benefit is risk control — keeping your portfolio at the volatility level you originally chose, instead of drifting into something more aggressive without deciding to.

It depends on the rule you pick. A common threshold is a few percentage points away from target for a two-asset portfolio, though tighter or looser bands are both reasonable choices. What matters more than the exact number is picking a rule in advance and sticking to it, rather than deciding case by case in the moment.

For portfolios that are still growing with regular deposits, directing those deposits toward the lagging asset can correct meaningful drift over time without any selling, which sidesteps taxable gains entirely. For a portfolio that is no longer receiving new money, or where drift is large relative to the contribution size, contributions alone may not close the gap fast enough, and some selling of the winner becomes necessary.

The mechanics are similar, but retirement accounts like 401(k)s and IRAs let you sell and buy without a tax bill, so there is less reason to route around sales. That makes calendar-based or threshold-based rebalancing simpler to execute directly inside those accounts than in a taxable brokerage account.

A firm registered with the SEC or a state that gives investment advice for compensation. Registration brings a fiduciary duty, a Form ADV disclosure brochure, and the ability to manage money — often with discretion, meaning they can place trades in your account without asking each time.

The Investment Advisers Act excludes bona fide publications of general and regular circulation from the definition of an adviser. The Supreme Court read it broadly in Lowe v. SEC (1985): impersonal commentary distributed to everyone is publishing, even when it names specific securities. What forfeits it is personalisation — advice aimed at your situation.

Charging money does not by itself make a publisher an adviser; paid newsletters have existed for a century. What matters is whether the output is personalised and whether a relationship of trust and reliance forms. That is why we never gate a recommendation behind a paywall: it is not the payment that crosses the line, it is the personalisation.

If you want someone to manage money for you and be accountable as a fiduciary, you want a registered adviser, and you should read their Form ADV and fee schedule. If you want the underlying facts so you can decide yourself, you want a publisher. They are different products, not better and worse versions of one.

No. Win rate only matters in combination with the average size of winners and losers. A 40% win rate with +2R winners and −1R losers earns +0.2R per trade, while a 70% win rate with +0.5R winners and −1.5R losers loses 0.1R per trade. Expectancy is the number that settles the argument, not win rate alone.

It means that, on average, each trade from the system costs you money, and trading it more only compounds the damage. No position-sizing scheme can turn a negative expectancy positive; sizing only controls how quickly the losses accumulate. The honest responses are to fix the system or stop trading it.

More than feels natural. Twenty trades can make a profitable system look like a loser and a mediocre one look like a star, purely through luck. Treat anything under roughly 100 trades as a sketch, and remember that even a few hundred trades leave meaningful uncertainty. Keep recording in R regardless — the data only becomes useful if you collect it.

Yes, and it’s worth planning for. A stock can gap through your stop overnight or fill with slippage in a fast market, turning a planned −1R into −1.5R or worse. Earnings dates and thinly traded stocks raise this risk. This is one reason many traders keep per-trade risk small: 1R is a plan, not a guarantee.

Yes. R is defined per trade — entry-to-stop distance times shares — so it works whether you risk a fixed dollar amount, a fixed percent, or something that varies by setup. What R gives you is comparability: every result lands on the same scale, so your journal and your expectancy math stay meaningful even as your sizing rules evolve.

There’s no universal threshold, and reported numbers are hard to compare because they depend on trade frequency and costs. A system earning +0.2R per trade over many trades is genuinely attractive if it produces enough trades and survives commissions and slippage. A higher per-trade expectancy with very few trades per year may still grow an account more slowly. Expectancy per trade, times trades per year, minus costs is the fuller picture.

Each divides a different profit layer by revenue. Gross margin (40% in the worked example) covers only production costs. Operating margin (12%) also subtracts R&D and SG&A. Net margin (7.9%) subtracts everything, including interest and taxes. Gaps between them show where the money goes: a high gross margin with a thin operating margin means heavy overhead or heavy reinvestment.

Costs directly tied to producing what was sold: raw materials, manufacturing labor, factory overhead, inbound freight. Costs of running the company — marketing, executive salaries, R&D, office rent — sit in operating expenses instead. The split matters because COGS scales with each unit while operating expenses scale with the organization.

Basic EPS divides net income by shares currently outstanding. Diluted EPS adds shares that would exist if options, warrants, convertibles, and unvested restricted stock all converted, so the denominator is larger and the result equal or smaller. Diluted is the conservative figure and the one to use for valuation.

Sometimes. Removing a genuine one-off, like a legal settlement, clarifies the run rate. The two red flags are add-backs that recur every year (a permanent cost relabeled as special) and stock-based compensation, which is real pay that shows up as dilution. Compare the GAAP and adjusted figures side by side; the size and consistency of the gap is itself information.

It depends on the industry's structure. Software companies commonly post net margins above 20%, banks and industrials often land in the 10-20% range, and grocers or distributors operate on 1-3% and make it up on volume. Compare a company against its own history and direct peers; a cross-industry margin comparison is noise.

In its SEC filings on EDGAR, which are free: the 10-K holds audited annual statements and the 10-Q holds quarterly ones. The income statement appears in the financial statements section, with the footnotes — where one-time items and accounting choices are disclosed — immediately after. Earnings press releases carry summary versions, usually alongside the non-GAAP reconciliation.

The mid-teens is a reasonable anchor for large US companies, but industry norms dominate: 11-13 percent is respectable for a bank, 9-10 percent is normal for a regulated utility, and 20-30 percent is common for capital-light consumer brands. Judge against direct peers and the company's own ten-year record.

ROA divides profit by total assets, so financing cannot flatter it; ROIC measures returns on all invested capital, debt and equity together. ROE only measures the equity slice. A company with 18 percent ROE and 5 percent ROA is running heavy leverage - the gap between the metrics is the tell.

Yes, in the sense that an extreme number usually signals a distorted denominator rather than an extraordinary business. ROEs above 40-50 percent most often come from heavy buybacks, large past write-downs, or high debt. Check the balance sheet before crediting the operations.

Either the company lost money (negative numerator) or its equity is negative from buybacks or accumulated losses (negative denominator). The first is a performance problem; the second makes the ratio uncomputable and forces you onto ROA, ROIC, or cash flow measures instead.

Replacing equity with debt shrinks the denominator while the business earns the same operating profit. As long as the after-tax cost of the debt is below the return the assets earn, the arithmetic pushes ROE up - and pushes it down just as hard when profits fall, because interest is a fixed cost.

Net income is on the income statement; total shareholders' equity is at the bottom of the balance sheet, both in the 10-K and 10-Q. Use the average of beginning and ending equity for the period, and prefer income attributable to common shareholders if there are large minority interests or preferred dividends.

Neither dominates on its own — they answer different questions. Capacity sets the outer boundary of what your finances can survive; tolerance sets what you can psychologically sustain without abandoning the plan. The safe move is to use whichever one is more conservative for a given goal, since ignoring either one creates a real failure mode: running out of money, or selling at the bottom.

Yes, and it often changes with experience rather than age — living through a real crash without selling tends to be more calibrating than any quiz. Capacity also changes, usually more predictably, as your time horizon shortens and your income situation shifts, which is why it is worth reassessing both every few years rather than setting an allocation once and leaving it.

Look at concrete facts rather than feelings: how many years until each pool of money is needed, how stable your income is, whether you carry debt or support dependents, and how much of your total net worth sits in the account in question. A dollar you need in two years has low capacity for risk no matter how large your overall net worth is.

You risk an allocation that feels fine emotionally but cannot survive a bad sequence of returns at the wrong time — for example, a large equity position that drops right before a planned withdrawal you cannot postpone. The portfolio matched your comfort level but not your actual constraints, and the shortfall shows up exactly when you can least absorb it.

You may end up with a portfolio your finances could handle but that you personally cannot hold through a downturn. If a decline triggers a panic sale, the "correct" allocation on paper turns into a real loss in practice, because the benefit of taking risk only shows up if you stay invested long enough to capture the recovery.

Not by itself. Above 70 means recent gains have been unusually one-sided, and in strong uptrends RSI can stay above 70 for weeks while the stock keeps rising. Traders who use it well combine the reading with the trend, key price levels, and a risk plan rather than acting on the number alone.

Fourteen is simply the default Wilder published in 1978, and platforms kept it. Shorter settings like 7 react faster but whipsaw far more; longer settings like 21 or 28 are smoother but nearly silent. There is no correct number — just a trade-off between sensitivity and noise, which is why tuning it to fit past data is a trap.

The math is identical on any timeframe — 14 five-minute bars, 14 days, or 14 weeks. The interpretation shifts, though: very short timeframes are dominated by noise, so extreme readings appear constantly and mean little, while weekly readings move slowly and describe longer regimes. Whatever timeframe is used, the trend-pinning failure mode applies there too.

No, and the naming collision confuses a lot of people. RSI compares a stock’s own recent gains with its own recent losses. Relative strength (as in relative strength ratings or RS lines) compares a stock’s performance against an index or its peers. A stock can have a low RSI while still showing strong relative strength versus the market, and vice versa.

Divergence is when price makes a new extreme but RSI makes a less extreme one — for example, a higher price high with a lower RSI high — suggesting the latest leg had less momentum. It’s a warning sign, not a timing tool: divergences can repeat several times before anything changes, so experienced traders wait for price confirmation, such as a break of a recent swing level.

There isn’t one, and any specific number offered as a universal buy level should raise suspicion. The same reading means different things in a range versus a trend, and RSI says nothing about a company’s value or your risk. Position sizing and a defined exit matter far more than any entry threshold — and nothing here is a recommendation to buy or sell.

A written plan adopted while an insider holds no material nonpublic information, specifying in advance the amount, price and timing of future trades. Following it provides an affirmative defense against insider-trading liability.

For directors and Section 16 officers, the later of 90 days after adopting or modifying a plan or two business days after the company reports results for that quarter, capped at 120 days. For other employees it is 30 days.

Forms 4 and 5 include a checkbox indicating the transaction was made under a Rule 10b5-1(c) plan, together with the plan adoption date. A sale executed under a plan adopted many months earlier says little about the insider’s current view.

No. It is a defense that fails if the plan was adopted while holding material nonpublic information, if the insider influences execution afterward, or if the good-faith requirement is not met throughout the life of the plan.

Generally yes. Executives are paid in stock and sell for taxes, diversification and personal reasons, so sales have many innocent explanations. An open-market purchase means an insider chose to add exposure with their own cash.

The SEC adopted them in December 2022 and they became effective on 27 February 2023, introducing cooling-off periods, officer certifications, restrictions on overlapping plans and quarterly disclosure of plan adoptions and terminations.

Not in the same way. While you are contributing rather than withdrawing, a downturn simply lets your ongoing contributions buy shares at a lower price, and the order of good and bad years has little effect on your final balance — only the average return does. Sequence risk is specifically a withdrawal-phase risk, which is why it gets far more dangerous the moment you retire.

Disproportionately more than any decade after it. A downturn in your first several retirement years forces you to sell a larger fraction of a smaller portfolio to generate the same income, permanently reducing the base that later growth compounds on. The same downturn arriving in your twenty-fifth year of retirement, with a much smaller remaining withdrawal horizon and possibly a larger cushion built up, tends to do far less damage.

It is a pool of cash or short-term bonds set aside specifically to cover living expenses during a market downturn, so you are not forced to sell stocks while they are down. Common targets run from one to three years of planned withdrawals, though the right size depends on your spending flexibility, other income sources, and how much volatility your portfolio carries.

A guardrails strategy sets predefined triggers for adjusting your withdrawal: if your portfolio value relative to your spending falls below one threshold, you cut back by a set amount; if it rises above another, you allow yourself more. It replaces a rigid, inflation-only adjustment with a rule that responds to how the sequence is actually unfolding.

A heavier bond allocation reduces volatility and therefore softens sequence risk somewhat, but it does not eliminate the mechanism — bonds can still have weak stretches, and a lower expected return from a bond-heavy portfolio brings its own long-run risk of falling short. Buffers, flexible spending, and guardrails address the sequencing problem more directly than an asset-allocation shift alone.

Twice a month. FINRA's 2026 schedule has 24 cycles, each as of the 15th or the last day of the month, moved to the business day before when that day is a weekend.

The as-of date FINRA designates for each cycle. Under Rule 4560, firms report the short positions from short sales that have settled or reached settlement date by the close of that day.

In all 24 cycles of FINRA's 2026 schedule, on the seventh business day after the settlement date. The cycle that settled on Thursday 15 October 2026 was published on Monday 26 October.

Because a short sale reaches its settlement date one business day after the trade. A figure as of a settlement date therefore covers short sales executed through the business day before it, and a short sale on the settlement date itself falls into the next cycle.

No. Short interest is the open short position as of a settlement date, reported twice a month. Daily short sale volume counts short sales as they trade, whether or not the position is still open when the session closes.

At least a week and a half on the day it is published, and older until the next one arrives. In October 2026 the freshest official figure on the 23rd still described trades through 29 September.

The well-documented tendency of investors to hold much more of their own country’s stock market than that market’s share of global market capitalization would suggest. It shows up in nearly every country studied, not just the US, though it gets the most attention in the US because the US market is unusually large.

Not necessarily — the US being a very large share of global market value makes some domestic tilt more defensible than it would be for investors in smaller markets. But many US portfolios sit at or near 100% domestic, which is more concentrated than a global-market-cap weighting alone would explain.

Because risk reduction from diversification comes from imperfect correlation, not from picking the higher-returning asset. If international and US stocks do not move in perfect lockstep, combining them can smooth portfolio-level volatility even when each, held alone, looks similarly volatile. See how correlation drives this in the [diversification guide](/guides/is-my-portfolio-diversified).

Partially. Many large US companies earn significant revenue abroad, so a US-only portfolio is not purely domestic in an economic sense. That said, the stock still trades on the US market and is exposed to US regulatory, currency, and market-cycle factors, so it is not a full substitute for holding actual international equities.

There is no single correct figure — reasonable portfolios range from something close to global market-cap weights to a meaningful home tilt. The more important step is deciding your allocation deliberately, weighing currency risk, cost, and diversification benefit, rather than defaulting to whatever your portfolio happened to start with.

Safer in the sense of smaller typical price swings and a contractual repayment promise, yes. But bonds are not risk-free: long-maturity bonds can lose significant value when interest rates rise, and lower-quality corporate bonds carry real default risk. "Safer" describes the shape of the risk, not its absence.

Shareholders take on more risk than bondholders — they are paid last in a bankruptcy and have no guaranteed return — so the market has historically compensated that risk with a higher average return, often called the equity risk premium. It is compensation for risk, not a free lunch.

No. They often move opposite each other during growth scares, when investors sell stocks and buy safe bonds, but they can also fall together, notably when inflation or interest-rate fears are the cause of the downturn, since rising rates hurt bond prices too. The relationship is a historical tendency, not a fixed rule.

It depends mainly on when you need the money and how much short-term volatility you can tolerate without changing your plan. Money needed within a few years generally belongs in cash or short-duration bonds; money with a decade or more runway can typically carry a larger stock allocation. A risk-tolerance assessment and a clear time horizon are the two inputs that matter most.

Clustered orders with human motives behind them. Buyers trapped above the market sell into rallies to exit at breakeven, shorts and longs defend prices where they entered, and limit orders bunch at round numbers and prior turning points. The level works when enough of that resting interest is still there — and quietly stops working once it has been absorbed.

Zones. Real turning points scatter across a range — bounces at $49.60, $49.85, and $50.30 define an area, not a tick. A single line invites two errors: getting stopped by a wick that barely violates it, and missing entries when price turns nearby without touching it. Draw a rectangle around the cluster of closes and judge it on closes, not intraday pokes.

Because the crowd on the wrong side changes. After a breakout above $80, former sellers at $80 want to rebuy their exit, shorts from $80 buy to cover at breakeven, and breakout traders add on the pullback. The supply that capped the level was consumed by the break, leaving demand beneath it. The flip works in reverse for broken support, which is why breakdown levels cap rallies.

Mostly by the close and the follow-through. A push through resistance that finishes the day back inside the range is a rejection, not a break, and it often reverses hard because trapped breakout buyers must sell back out. Real breaks tend to close beyond the zone on expanding volume and then hold the level on a retest. Waiting for the close or the retest costs some price and buys evidence.

Only with time between them. A zone tested across months, with fresh positioning built in between, has deep resting interest. But rapid repeated tests eat the orders that created the level — each bounce consumes demand — so a floor hammered four times in two weeks is often about to give way. Touch-counting without context is one of the most reliable ways to be on the wrong side of a break.

It remains a reasonable starting point, but it was never a law. It assumes a ~30-year horizon and a stock-heavy portfolio, and it can fail if a severe downturn hits early in retirement. Longer retirements or more conservative portfolios often call for a lower rate; the right move is to test your own numbers rather than assume 4% fits.

The highest percentage you can withdraw and still have your money last, at an acceptable probability of success — often 90% or 95% of simulated retirements never running out. It depends on your horizon, asset mix, and risk tolerance, so it is a range, not a single fixed number.

No. The 4% is a gross withdrawal from the portfolio; taxes come out of that amount, and they depend on your account types (taxable, traditional, Roth). Plan your spending on an after-tax basis, which effectively lowers how much of the withdrawal you can actually spend.

That is the worst-case scenario the rule is most vulnerable to — sequence-of-returns risk. Defenses include holding a cash or bond buffer to avoid selling stocks at the bottom, cutting discretionary spending in down years, or using a flexible "guardrails" withdrawal strategy instead of a rigid inflation-adjusted amount.

It remains a reasonable, low-maintenance starting point for a balanced portfolio, but 2022 is a useful reminder that the stock-bond hedge is a tendency, not a guarantee. In a rising-rate, high-inflation environment, both assets can fall together. The allocation still makes sense for many investors; it should not be treated as risk-free.

It is not automatic, but it has often worked out that way because the conditions that hurt stocks — a slowing economy, falling corporate earnings — are frequently the same conditions that lead central banks to cut interest rates, which tends to push bond prices up. When the cause of a downturn is instead rising rates or inflation, as in 2022, that relationship can break down.

Not necessarily. The 40% in bonds mainly exists to reduce volatility and cushion drawdowns, which matters most for someone who needs to withdraw money soon or cannot tolerate a large decline. A younger investor with decades until they need the money has historically had more to gain from leaning further into stocks and accepting more short-term volatility for higher long-run growth potential.

There is no single alternative — allocations range from all-stock portfolios for maximum long-run growth, to more conservative mixes with 70-80% in bonds for investors who prioritize stability, to more diversified "lazy portfolios" that spread money across additional asset classes like international stocks, real estate, or commodities. The right mix depends on your own time horizon and goals, not on picking a trendier default.

Start with your time horizon and how much of a decline you could tolerate without changing your plan. A correlation tool can show how your actual holdings move together, and a Monte Carlo simulation can test how a given stock/bond split holds up against your specific goals, rather than assuming a one-size allocation built decades ago applies directly to you.

It taxes restricted property at its value on the transfer date rather than at each vesting date. Later appreciation becomes capital gain instead of ordinary income, and the holding period starts immediately.

Thirty calendar days from the transfer of the property. There is no extension, no late-filing procedure and no way to make the election on an amended return. Certified mail with a return receipt is the conventional way to prove the date.

No. The election requires an actual transfer of property, and an RSU is a promise to deliver shares later. It applies to restricted stock awards and early-exercised options, which are different instruments people frequently confuse with RSUs.

The tax you already paid is generally gone. Section 83(b) denies a deduction for income recognized on property that is later forfeited, though a capital loss may be available for the amount you actually paid for the shares.

When you early-exercise ISOs, the election fixes the AMT adjustment at the spread on the exercise date instead of letting it grow with each vest. If that spread is near zero, it can remove AMT exposure from the grant entirely.

Only when the spread is small. At a near-zero spread it costs almost nothing and converts future gain to capital gain. At a large spread it means paying real ordinary-rate tax, in cash, on illiquid shares you may forfeit, which is a bet rather than an optimization.

Not directly. It is a theoretical curve built from assumed future returns, volatilities, and correlations, which nobody knows in advance. It is useful for understanding why diversification works and roughly how much it can help, but treating a calculated "optimal" point on the curve as your actual portfolio ignores how sensitive that point is to small errors in the inputs.

It does not beat it on return — the blend’s expected return is just a weighted average of the two. What it can beat is the risk-adjusted outcome: if the two assets are not perfectly correlated, their bad days partially cancel out, so the combined portfolio can carry noticeably less volatility for the same average return than either asset held on its own.

It means some other combination of the same available assets could have delivered more expected return at the same risk level, or the same return at lower risk. Being below the frontier is not necessarily a mistake — an investor might accept it for reasons the model does not capture, like taxes, liquidity needs, or simply not trusting the return assumptions that built the curve.

Estimation error is the gap between the true, unknowable future returns and volatilities used to draw the frontier, and the historical or forecast numbers actually plugged in. Mean-variance optimization is notoriously sensitive to that gap — small changes in assumed inputs can produce very different "optimal" portfolios, which is the main practical argument for not over-trusting a single optimized allocation.

No. The frontier is a way to reason about diversification, not a prerequisite for practicing it. Checking the correlation between your holdings and favoring genuinely different assets over redundant ones captures most of the practical benefit without requiring precise return forecasts the frontier depends on.

(Portfolio return − risk-free rate) ÷ standard deviation of the portfolio's returns, typically annualized. The risk-free rate is usually a Treasury bill yield matching the measurement period, and standard deviation is computed from the same return series used for the numerator.

Commonly cited rules of thumb say below 1 is subpar, 1-2 is good, 2-3 is very good, and above 3 is excellent — but these are conventions, not fixed thresholds. A long-run US stock index has historically sat closer to 0.4-0.6 over multi-decade periods, so context and comparison matter more than hitting a specific number.

Yes, whenever the portfolio's return falls below the risk-free rate. A negative Sharpe ratio should be read carefully: comparing two negative Sharpe ratios can be misleading, because among losing strategies, higher volatility can make the ratio look "less bad" without the strategy actually being better.

Because it uses standard deviation as its risk measure, and standard deviation counts distance from the average in either direction equally. A strategy with rare, large upside surprises looks just as "risky" by this math as one with equally large downside surprises, even though investors experience those two situations very differently.

The Sortino ratio uses the same numerator but replaces total standard deviation with downside deviation — volatility measured only from returns below a target — so it does not penalize upside swings. A strategy with lots of upside volatility but little downside volatility will show a noticeably higher Sortino than Sharpe, which is itself a clue about the shape of its returns.

Expect noise below roughly 30 closed trades and treat anything under 20 as a story rather than a statistic. The same strategy can show a 65% win rate over its first 20 trades and 45% over the next 20 purely by chance. Per-setup breakdowns need the same sample within each tag, so a setup you have traded four times is not yet evidence.

Every closed trade. Selective logging is the fastest way to a flattering and useless dataset, because the trades people skip are disproportionately the impulsive ones, which is exactly the population you need to measure. Importing a broker CSV sidesteps the temptation entirely, since the file contains everything.

A stop is your planned exit, decided before entry. Maximum Adverse Excursion is how far the trade actually went against you before it resolved, and Maximum Favorable Excursion is the best unrealized gain it reached. MAE tells you whether your stops sit too tight; MFE tells you whether you leave money on the table. The StockTools journal records planned stops and R-multiples rather than MFE and MAE.

The StockTools journal stores everything in your own browser using local storage, with no account required and nothing uploaded. The one feature that touches the network is the optional reconciliation against filings, which sends only each trade's ticker and date. Clearing your browser data deletes the journal, so export the CSV or JSON periodically.

Daily for execution errors while the session is fresh, weekly for patterns. In the daily pass, name the cause of the worst trade. In the weekly pass, look at three numbers: net by setup, net by mistake tag, and the share of trades that had a stop. Those three answer what to do more of, what to cut, and whether your risk process is holding.

The fields change slightly, the value does not. Swing traders log fewer trades, so the sample takes longer to build and per-setup conclusions arrive more slowly, but the same grouping by setup and mistake applies. Holding periods spanning earnings make the earnings proximity in the reconciliation more useful, not less.

No. The rule only disallows losses. If you sell at a gain and rebuy the same stock a minute later, the gain is fully taxable as usual — the IRS has no objection to you realizing income.

Usually not. The disallowed loss is added to the cost basis of the replacement shares, so it typically resurfaces when you sell that new lot. The big exception is rebuying inside an IRA, where the basis adjustment is lost and the loss can be permanently erased.

Only partly. Brokers generally flag wash sales involving identical securities within the same account and report the adjustment on your 1099-B. Repurchases in a different account, in a spouse’s account, or in similar-but-not-identical securities are typically on you to track.

Historically the rule applied to stocks and securities, and crypto was commonly treated as falling outside it — but this has been an active area of legislative proposals for years. As of 2026, verify the current status with a tax professional before assuming either answer.

Then there is no wash sale at all. The rule only activates when a substantially identical purchase lands inside the 61-day window. Sell, stay out of the position, and the loss is claimable under the normal capital loss rules.

No — wash sales are proportional. If you sell 100 shares at a loss and repurchase 20 within the window, only the loss attributable to 20 shares is disallowed and rolled into the new basis. The loss on the other 80 shares is still allowed.

A loss usually refers to a single trade or a realized outcome. A drawdown is a property of the whole equity curve: the decline from a peak, whether or not anything was sold. An account can sit in a 15% drawdown while every position is still open and unrealized. Drawdown measures the experience of holding the account, not the accounting of individual trades.

The S&P 500's average intra-year peak-to-trough decline since 1980 is roughly 14%, even though most of those years finished positive. A single-strategy trading account should expect deeper valleys than a diversified index. If a live record shows no drawdown beyond a few percent, the sample is short or the risk is hiding somewhere the equity curve cannot see.

Arithmetically it requires a 100% gain. At a steady 10% a year that takes about 7.3 years, since 1.1 raised to the 7.3 is roughly 2. Nothing forbids the recovery, but the timeline is measured in years, and the process that produced the 50% hole usually has to change before the double arrives. Preventing the drawdown through sizing is cheaper than earning it back.

Track the running maximum of account equity over time. At each point, compute (peak minus current value) divided by peak. Max drawdown is the largest such value across the whole record. The answer depends on marking frequency: daily equity values reveal deeper drawdowns than monthly statements built from the same account.

It shallows them in normal markets and helps least in panics, when correlations across assets rise toward 1. In 2008 nearly every equity market and most credit fell together, and a standard 60/40 US portfolio still drew down roughly 30%. Diversification is a depth reducer, not an immunity, and the worst drawdowns arrive precisely when it works worst.

Yes, as a reader and summarizer of documents you choose. Give it a page built from filings, ask it to quote and date what it reports, and check one figure yourself. The joint SEC, NASAA and FINRA alert warns that AI output can be inaccurate, outdated or made up.

Because a model asked a question it cannot answer from the page tends to fill the gap. Telling it to write not found makes a missing fact visible instead of invented.

Our AI Answer Ledger, read on 21 October 2026, had 46 scored calls that picked a direction; 23 were right. All 46 said higher, matching an always-higher baseline of 50%, and the ledger makes no comparison against that baseline until 20 calls have said lower.

No. The ledger records each call the day it is asked and shows it only after it has been scored 30 days later, beside what the price did. A fresh call is never displayed.

Open the page yourself, copy its text and paste it into the chat with the same instructions. The answer is then tied to text you can see, which is the point.

A period at the start of a grant during which nothing vests. Leave before it and you get zero equity. Reach it and a full block, usually 25% of a four-year grant, vests in one event, after which the remainder vests in smaller regular increments.

A backloaded four-year schedule paying 5% in year one, 15% in year two, then 40% in each of years three and four. Compared with an even 25% per year, it delivers $120,000 less over the first two years on a $400,000 grant.

No. Vesting only makes an option exercisable. Tax consequences begin at exercise, and they differ depending on whether the option is an incentive stock option or a non-qualified one.

They are forfeited under nearly every plan, with no partial credit for time served toward the next tranche. Vested RSU shares are yours to keep, and vested options usually must be exercised within a short post-termination window, commonly ninety days.

Single-trigger vests unvested equity when the company is acquired. Double-trigger requires both the acquisition and a qualifying termination, usually within twelve months. Double-trigger is the common form for employees; single-trigger is mostly reserved for founders and executives.

Because total compensation falls when the initial grant is exhausted, unless the employer has been issuing annual refresher grants. Where refreshers are absent, year five pay is materially lower than year four pay for the same job.

Roughly, yes. VTI's large-cap holdings look very similar to VOO's because both are market-cap weighted and dominated by the same largest companies. VTI then extends further down into mid- and small-cap stocks that VOO does not hold at all.

Their long-run results have historically been close, given how much overlap exists between them, though the exact relationship shifts depending on whether small- and mid-cap stocks are outperforming or underperforming large caps during a given stretch. Neither has a consistent, reliable edge over the other.

Yes. Both are widely considered among the cheapest broad-market funds available, which is a large part of why they are both so popular as core portfolio holdings.

You can, but it adds redundancy rather than real diversification, since VTI already contains essentially the same large-cap companies VOO holds. Most investors pick one as a core US equity holding rather than layering both.

Not fundamentally. The overlap between the two funds does not shrink as your account grows. What matters more at any size is sticking with a choice, keeping costs low, and not switching funds based on short-term performance chasing.

Within 45 days after each calendar quarter ends: mid-May for Q1, mid-August for Q2, mid-November for Q3, and mid-February for Q4. Most large funds file near the deadline, so the interesting reading arrives in a burst around those dates on EDGAR.

No. The form covers long positions in US-listed 13F securities only. Shorts, swaps, futures, cash, and most bonds are absent, which means a visible long can be one leg of a hedged trade — a merger-arb fund's target-company long, for example — rather than a directional bet.

No. A 13F reports share counts and market value at the quarter-end close, nothing about cost basis or trade timing. A position filed in May could have been bought at any point during the first quarter, at prices possibly 30-40% away from where the stock trades when you read the filing.

Price movement. Market value is shares times the quarter-end price, so an untouched 2,000,000-share position moves from $90 million to $104 million if the stock rises from $45 to $52 — hence share counts, not dollar values, are the line that records actual buying and selling.

Copying works best, when it works at all, with concentrated low-turnover managers whose filings still resemble their live books after the 45-day lag. It fails with active traders and hedged funds, where the disclosed long may be stale or half a structure. Better use: treat filings as a research pipeline, verify the thesis yourself, and size positions to your own account.

There isn’t a universal one. A P/E is only meaningful compared with something — the company’s own five-year median, close competitors in the same industry, or the growth rate that would justify it. A 30 can be fair for a fast, steady grower while an 8 can be expensive for a business in decline.

It means the company lost money over the measurement period, so the ratio has no useful interpretation — most screeners just show N/A. For unprofitable companies, investors typically look at revenue multiples, gross margins, and cash burn instead.

No. A low multiple can signal a value trap: earnings at a cyclical peak, a business in structural decline, or a one-time gain inflating the denominator. Cheap on last year’s earnings and cheap on future earnings are very different things.

PEG divides the P/E by an expected earnings growth rate, attempting to adjust the multiple for growth. It adds context but inherits a big weakness: the growth number is a forecast, and small changes in that forecast swing the PEG dramatically.

On the income statement in a company’s quarterly (10-Q) and annual (10-K) filings, and on most finance sites. Prefer diluted EPS over basic, and note whether a quoted P/E uses trailing twelve-month earnings or a forward estimate — the two can differ a lot.

Yes — indexes like the S&P 500 have an aggregate P/E, computed from the combined price and earnings of their members. It has varied widely across eras, which is why market-level P/E is usually read against long-run averages and interest rates rather than as a standalone number.

Yes. Negative beta means the stock has tended to move opposite the market over the measurement window. Inverse ETFs are built to hold betas near -1. Among ordinary equities it is rare and usually unstable: gold miners and long-volatility products occasionally print negative betas over specific windows, and many apparent negatives are low R-squared artifacts rather than durable relationships.

Neither. It is an exposure setting: the position amplifies whatever the market does by roughly half again, in both directions. The real question is whether the sizing accounts for it. A beta 1.5 position at 10% of a portfolio contributes market risk comparable to a 15% position in an index fund, and the 2022-style arithmetic (a 25% market drop implying 37.5%) should be survivable on purpose, not by accident.

Different regression settings. Yahoo uses five years of monthly returns against the S&P 500; brokers and data vendors variously use two or three years of weekly data, one year of daily, or a different benchmark. None is wrong, and the disagreement is itself information: when a stock's beta varies a lot across windows, the relationship is unstable and no single number deserves much weight.

Theory says it should: the capital asset pricing model prices expected return as a linear function of beta. Measured markets have mostly disagreed. Across decades of data, low-beta stocks have earned more per unit of risk than high-beta ones, a result known as the low-beta anomaly or betting against beta. Treat beta as a risk gauge, not a return forecast.

The dollar-weighted average of the holdings' betas. A portfolio that is 50% in a beta 1.6 stock, 30% in a beta 1.0 stock, and 20% in cash (beta 0) has a portfolio beta of 0.5 × 1.6 + 0.3 × 1.0 + 0.2 × 0 = 1.1. That one number summarizes how hard an index move should hit the whole account, subject to every limitation above.

No. EBITDA ignores capital expenditures, changes in working capital, interest actually paid, and cash taxes. Operating cash flow on the cash flow statement captures working capital and cash taxes; free cash flow also subtracts capex. EBITDA is usually the largest of the three, sometimes by a wide margin.

Because depreciation is a non-cash charge in the year it is booked - the cash left when the asset was bought. The add-back is defensible for a one-year snapshot and dangerous over time, since the equipment must eventually be replaced. That is the core of Buffett's tooth-fairy critique.

It depends on growth and capital intensity. Slow, asset-heavy businesses have often traded in the 6-9x range while fast-growing, asset-light ones command the high teens or more. The useful comparison is against direct competitors and the company's own history, not a universal threshold.

EBITDA with additional management-chosen add-backs, such as restructuring costs, stock-based compensation, or one-time items. Companies define it themselves, so it is not standardized. Reconcile it against operating cash flow: a persistent large gap means the adjustments are doing heavy lifting.

Yes. A company that loses money at the operating line before D&A has negative EBITDA, which usually signals the core business does not yet cover its own running costs. Early-stage companies often pass through this phase; a mature company with negative EBITDA is in serious trouble.

Net income, interest expense, and tax expense sit on the income statement; depreciation and amortization usually appear on the cash flow statement, since the income statement often buries them inside cost of goods sold and operating expenses. All of it is in the 10-K and 10-Q filings.

Yes. If a company loses money, net income is negative and so is EPS — a 100 million dollar loss over 200 million shares is an EPS of negative 0.50 dollars. A negative EPS also makes the P/E ratio meaningless, which is why unprofitable companies are usually valued on revenue multiples or projected future earnings instead.

Because the denominator can shrink. If a company buys back enough stock, EPS can grow while total net income stays flat or even declines. Checking net income growth and the share count alongside EPS growth shows whether the business itself improved or the share count just got smaller.

It depends on the site. Most trailing P/E ratios use diluted TTM EPS from the last four reported quarters, while forward P/E uses analyst estimates for the next year. Some sources use adjusted rather than GAAP figures, which is one reason the same stock can show different P/E ratios on different websites.

Not by itself. EPS depends on the share count, so two equally profitable companies can have wildly different EPS just because one has fewer shares. A 10 dollar EPS on a 500 dollar stock is not obviously better than a 1 dollar EPS on a 20 dollar stock. EPS only becomes meaningful relative to the share price, the company’s history, and its peers.

GAAP EPS follows the standardized accounting rulebook required in SEC filings, while adjusted EPS is management’s own version with certain costs stripped out — useful context at best, flattering spin at worst, and always worth reconciling against the GAAP figure.

In its SEC filings — the quarterly 10-Q and annual 10-K — available free on the SEC’s EDGAR website. The income statement reports basic and diluted EPS along with the share counts behind them, and the same data is published in machine-readable XBRL, which is where most finance sites and screeners get their numbers.

Multiply the current share price by the number of shares outstanding. A company at $42 per share with 500 million shares outstanding has a market cap of $21 billion. Both numbers appear on most quote pages, and the market cap is usually listed directly as well.

Not necessarily. Share price ignores how many shares exist. A $10 stock with 8 billion shares is an $80 billion company, while a $500 stock with 40 million shares is a $20 billion company. Only the price-times-shares product measures size.

No. A split multiplies the share count and divides the price by the same factor, so the product is unchanged. A $20 billion company is still a $20 billion company after a 4-for-1 split — each share is simply a smaller slice of the same pie.

Common US conventions put small cap at roughly $300 million to $2 billion, mid cap at about $2 billion to $10 billion, large cap at about $10 billion to $200 billion, and mega cap above that. The lines are informal and shift over time as the overall market grows.

Market cap prices only the shares. Enterprise value starts with market cap, adds debt, and subtracts cash, approximating the cost of acquiring the whole business. A $10 billion market cap company with $4 billion of debt and $1 billion of cash has a $13 billion enterprise value.

No. Market cap is the market’s current valuation of the company’s shares, not cash in the bank. A company’s actual cash sits on its balance sheet, and its market cap can be many times larger or occasionally smaller than everything the company physically owns.

The common convention among active traders is 0.5-2% of equity per trade, with 1% the default reference point. The number is a survivability choice, not an optimization: at 1%, ten straight losses cost 9.6% of the account; at 5%, the same streak costs 40% and requires a 67% gain to recover.

No, and the difference is the whole method. In the worked example, the position cost $8,000 (16% of the account) but the position risk was $500 (1%), because the stop sat $5 below entry. Risk-based sizing budgets the loss at the stop, not the dollars deployed.

Cap it. A $2 stop on an $80 stock lets a 1% budget buy 40% of the account in one name — internally consistent and still a bad idea, since tight stops sit inside normal daily noise and gaps ignore stops entirely. A notional ceiling of 20-25% per position is the common external constraint.

The principle transfers, the formula needs adapting. For long options, many traders treat the full premium as the risk, since options can expire worthless. For futures, per-contract risk is (entry - stop) x the contract multiplier, and leverage makes the notional cap matter even more than in stocks.

Kelly derives the growth-optimal risk fraction from your win rate and average win/loss ratio; fixed-fractional just picks a flat percent. Kelly's inputs are estimates from past trades, and overestimating them causes oversizing, so practitioners who use it commonly bet half-Kelly or less. Fixed-fractional at 1-2% is the humbler cousin that assumes your edge is smaller than you think.

Yes, in two ways. Size against current equity, including open profits and losses, not your starting balance. And check correlation: if the new trade shares a sector or driver with existing positions, their stop-distance risks add. Three 1% semiconductor positions are one 3% semiconductor bet.

It can be either, which is why it’s context rather than a signal. Bears read it as informed investors seeing real problems; bulls read it as fuel for a squeeze if good news arrives. Historically, heavily shorted stocks as a group have tended to lag the market, so the burden of proof sits with the squeeze story.

There’s no official threshold, but under about 5 percent of float is typical for most US stocks, above 10 percent is elevated, and above 20 percent is heavily shorted territory. Always pair the percentage with days to cover, since a big short position in a liquid stock is much less combustible than the same position in a thinly traded one.

Yes, in unusual cases. When a borrowed share is sold, the buyer can lend it out again, so the same underlying share can back more than one short position. Readings above 100 percent are rare and signal an extremely crowded short trade, but they don’t automatically mean anything illegal happened.

The official figures are reported to FINRA twice a month, based on settlement dates around mid-month and month-end, and published roughly a week and a half later. That means the number you see is always one to two weeks old. Daily figures from data vendors are estimates, not official counts.

Short interest is a snapshot of total shares currently held short. Daily short volume measures what fraction of a day’s trades were marked as short sales, much of which is routine market-maker activity that gets closed within hours. A stock can show 40 percent short volume on a given day while having very low short interest, so the two numbers answer different questions.

No. A squeeze needs a catalyst — unexpectedly good news, a buyout offer, or forced buying — on top of crowded positioning. Without one, heavily shorted stocks often drift lower as the problems that attracted the shorts play out. High short interest raises the ceiling on volatility in both directions; it doesn’t predict which direction comes first.

Neither — it is an amplifier, not a quality rating. A small float means bigger moves in both directions, along with wider spreads, more slippage, and more frequent trading halts. Whether that profile is attractive or dangerous depends entirely on the strategy and risk tolerance of the person trading it.

Most broker quote pages and free screeners list float under share statistics, alongside shares outstanding. The underlying data comes from company filings with the SEC, but different providers apply slightly different definitions and update on different schedules, so it is normal to see the float figure vary a little from one source to another.

There is no official cutoff. As a rough convention, many traders treat floats under about 10 to 20 million shares as low, and floats under a few million as extremely low. Context matters too: share price and average daily volume determine how thin a float actually feels when orders start hitting it.

Yes. A borrowed share that is sold short ends up in a new owner’s account, where it can be lent out and shorted again, so the same share can be counted in short interest more than once. Short interest above 100 percent of float is rare but has happened, and it signals an extremely crowded short position.

A split multiplies both shares outstanding and the float by the same ratio — a 2-for-1 split doubles both counts. The float as a percentage of shares outstanding is unchanged, and so is the value of anyone’s stake. What changes is the per-share price, which can affect how actively a stock trades.

No. A trustworthy historical backtester needs long-run, survivorship-bias-free price history that is expensive to license, and even a well-built one only shows you the one or two paths history happened to take. Our Monte Carlo simulator is the forward-looking alternative: it models a wide range of plausible future outcomes from your own assumptions, rather than replaying a single past event.

A 30-40% decline in stocks over three to twelve months is a reasonable severe-but-plausible scenario, roughly in line with 2008 and worse than 2020. You can model this in the simulator by lowering your expected return and raising volatility for the near-term years, then checking how the low end of the outcome range affects your goal or withdrawal plan.

A deep, fast recovery is emotionally easier to sit through than a shallower loss that drags on for years. Long recoveries wear down conviction over time, and that is when most panic-selling happens — not in the first bad week, but well into a slow decline when it starts to feel like the losses might be permanent.

They are related but distinct. Diversification, which you can check with a correlation tool, reduces how much a single shock can hurt you by spreading risk across assets that do not all move together. Stress-testing is the separate step of asking how bad a shock could plausibly get and whether you could hold your plan through it, regardless of how diversified you already are.

Whenever your allocation, time horizon, or spending needs change meaningfully, and at least once a year as a checkup. The goal is not to predict the next crash but to periodically confirm that the amount of risk in your plan still matches what you could actually tolerate living through.