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tradechef.io — Stress-test your backtest like a hedge fund
raaa1 · 2026-06-14 · via Show HN

Institutional-grade backtest analytics

Don't blindly trust your backtest. Stress-test it like a hedge fund.

The power of institutional traders, in the hands of retail. Monte Carlo, risk of ruin, deflated Sharpe, position sizing — the checks a prop desk runs before risking a dollar, on your TradingView exports.

Stats are the ingredients — create perfect trading recipes.

100% private — runs locally No uploads — runs in your browser Free

tradechef.io — portfolio dashboard

Account equity curve Sharpe 1.92 · net of fees

Sharpe (net)
0

Risk of ruin
0%

From one upload — every angle on your strategy

See it in action

The whole stress-test, in 30 seconds.

From a raw TradingView export to a hedge-fund-grade risk read — Monte Carlo, deflated Sharpe, regime tests and portfolio blending.

The dashboard

One export in. The whole picture out.

tradechef reads your TradingView Strategy Tester export trade-by-trade and rebuilds the whole picture — patterns by day, drawdowns to the dollar, and a per-symbol ledger that reconciles to the cent. That's the foundation every stress-test below builds on.

Daily P&L heatmap

A calendar grid of every trading day — green for profit, red for loss, hatched for skipped. Spot streaks, weekday bias, and the days that quietly bleed your edge. Click any cell to drill into the per-symbol breakdown.

Loss Profit Skipped

Drawdown analysis

Every drawdown period — depth, days to trough, days to recover — with an underwater curve and live "at peak / recovering / deeper" trend chips.

Per-symbol breakdown

One column per symbol, a TOTAL that ties out — net, win rate, profit factor, expectancy, best & worst. Mute a symbol and the whole dashboard recalculates without a reflow.

Scenario filters & what-ifs

Re-run the entire backtest under new rules without leaving the page. Skip FOMC days or crisis-VIX days, drop weekdays or months, cut individual days by hand, trade only after the open, set your account size, and cap a daily or weekly loss — every metric reconciles instantly.

Skip FOMC Skip crisis VIX Exclude Mon Longs only Entry after 9:45 Daily loss −$1,500 Weekly loss cap

Equity, monthly & weekday charts

An equity curve with running-peak and drawdown bands, a synced VIX lane tying every drawdown to the market stress around it, monthly P&L bars, and a Mon–Fri breakdown — the patterns a flat number sheet can never show you.

Rulesets — pass / fail, not vibes

Write your trading plan — or a prop firm's evaluation — as hard bounds on the stats that matter: win rate, profit factor, drawdown, losing streaks, Sharpe, SQN. Start from a Conservative, Moderate or Aggressive template, keep several plans side by side, and every backtest is graded against all of them — live, under whatever filters you're stress-testing — with the verdict pinned to the toolbar and stamped into every report.

Moderate14/16PASSING

Win rate ≥ 45% 61.4%PASS

Profit factor ≥ 1.5 2.34PASS

Max drawdown ≤ 10% 9.1%PASS

Max consec. losses ≤ 8 11FAIL

The full trade ledger

Every fill, exactly as exported — entry & exit time, direction, quantity, fill price and P&L. Sort any column, scan it, and tie every dashboard number back to the trades behind it.

Try it live

Funded-account evals

Would it have passed the eval?

Futures funding programs publish their rules as plain numbers — a profit target, a trailing drawdown cap, a consistency rule, zero daily-loss breaches. The 50K eval-style template encodes that shape, date-stamped, and grades any backtest against it in one click — on closed trades, at trade resolution, exactly what your export can prove.

50K eval-style (2026)4/4PASSING

Profit target ≥ $3,000 $18,329PASS

Trailing drawdown ≤ $2,000 $1,624PASS

Best day ≤ 30% of net 5.7%PASS

Trading days ≥ 10 135PASS

Daily-loss breaches = 0 SET LIMIT

Try it live

The trust engine

Don't just see the curve. Stress-test it.

One backtest is a single roll of the dice. tradechef runs the questions a risk desk asks before sizing a position — is this edge real, how bad can it realistically get, and does it survive out of sample?

Monte Carlo & risk of ruin

Resample and reshuffle your trade sequence ~1,000× to get a full distribution of outcomes instead of one lucky path — where your backtest's final P&L really sits, the 95th-percentile drawdown, and the odds of blowing up at your account size.

Is the edge real?

Three reads on edge vs luck. SQN scores tradeability; Probabilistic & Deflated Sharpe give the odds the true Sharpe beats zero — Deflated discounting for every variant you tried.

SQNSystem quality · Excellent3.4

Prob. SharpeP(true Sharpe > 0)99%

Deflated Sharpeafter 40 variants tested96%

Out-of-sample holdout

The first 70% of your trades vs the last 30%, held out. If the out-of-sample half holds up, the edge isn't just fit to the early data — a holdout split, not walk-forward re-optimization, which a trade list can't support.

In-samplefirst 70% · 356 trades

+$33.7k

Out-of-samplelast 30% · 152 trades

+$14.5k

Out-of-sample holds up — the edge persists past the in-sample window

Try it live

Context & consistency

Does the edge survive — and last?

A profitable backtest can still be fragile. tradechef joins every trading day to the real Cboe VIX — refreshed daily — to check whether your edge holds when the market is actually stressed, whether it's quietly decaying over time, and how consistent it really is month to month.

Performance by VIX regime

Every trading day classed by the prior session's real Cboe VIX close — the reading you'd actually have before the open — from calm (<15) to crisis (≥30). Not hindsight: numbers you could trade on.

CalmVIX <1513d+$5k

NormalVIX 15–2079d+$21k

ElevatedVIX 20–3040d+$13k

CrisisVIX ≥302d+$1k

Survives real market stress — VIX ≥ 20 days net +$14k

Edge stability over time

Rolling Sharpe across the backtest, with elevated and crisis VIX spans shaded behind the line — is the edge steady, strengthening, or quietly fading as the market adapts to it?

early recent Stable — recent rolling Sharpe 1.85 vs 2.0 early

Monthly consistency

Profitable-months and green-day rates, plus your best and worst month — steady compounding, or a few lucky spikes carrying the curve?

Try it live

In-browser insights

What's actually driving your book?

Past the headline curve, tradechef reads the book for you — automatically mining and grading the conditions behind your edge, grouping trades into the styles you actually run, flagging the trades that hurt, and catching when the edge quietly shifts. Mined in your browser; your trade data never leaves the tab. Classical statistics — permutation tests, k-means, robust z-scores, CUSUM — not a black box.

Auto-mined patterns, graded

Hundreds of conditions — session, VIX regime, win/loss streak, size, hold time — each tested against the rest of your book, permutation-tested, then corrected for how many were tried. Every finding is graded, so a pattern that's just luck is labelled as such instead of sold as an edge.

Short · Elevated VIX312 trades · q 0.004 · Strong+$24/t

After a 3+ loss streak208 trades · q 0.02 · Moderate−$31/t

Friday · last hour141 trades · q 0.31 · Weak−$6/t

3 of 47 conditions cleared the multiple-testing bar

Trade clusters

Groups your trades by how you traded them — entry time, hold, size — into the styles you actually run, each with its own net result. When the trades don't separate, it says so rather than inventing groups.

Early · longer holds164 · win 62%−$1.2k

Early · quick exits130 · win 100%+$7.0k

Mid-session220 · win 100%+$21.2k

Edge drift

Scans the whole book for the single biggest shift in average per-trade P&L — a CUSUM changepoint — then permutation-tests it: a real regime change, or just noise? Strong means the break is unlikely to be chance.

before after the shift Regime shift near trade 410 — survives permutation (p = 0.01)

Outliers & revenge trading

Flags abnormally large losing trades and losing days by a robust z-score, plus loss runs with escalating size — the revenge-trading signature. Loss-focused: a record win is a good day, not a flag.

Try it live

Position-sizing lab

The edge is the sizing, not the entry.

Re-run your fixed-quantity backtest risking a set % of equity on every trade — a flat 0.5–5%, or a Kelly fraction — compounding as the account grows, and redraw the curve against your original. The edge is often the sizing: bigger size buys higher returns with deeper drawdowns and real ruin risk.

0.5% 1% 2% 5% ½ Kelly Kelly

Re-sized · 1% risk Original fixed-qty

Each trade risks a set % of current equity, scored in R-multiples off your average loss — an approximation, since TradingView exports carry no stops.

Try it live

Beyond a single backtest

Stop trading one strategy. Trade an uncorrelated book.

One export is a data point. tradechef is built to work across your whole portfolio — fuse every backtest into one picture, see how your strategies correlate, weight them into a combined curve, and put any two head to head.

Combine multiple backtests

Drop every symbol's export at once and they're fused into one portfolio — a unified equity curve, blended drawdowns, and a per-symbol ledger with a TOTAL that ties out to the cent.

Portfolio3 symbols · $48,210

Save & combine sessions

Save any analysis to your browser, then reload it later — or check several saved sessions and merge them into one bigger portfolio. Stored locally in IndexedDB; nothing leaves your machine.

Compare backtests

Put two backtests head to head — overlaid equity curves and stacked monthly & day-of-week P&L — to see exactly what a parameter change bought you before you risk a dollar on it.

Correlation matrix

See how every strategy moves against the others on aligned daily returns. Greens are the uncorrelated pairs that actually diversify your risk; reds rise and fall together.

ESNQGCCL ES 1.00 .62 .08 −.12 NQ .62 1.00 .05 −.05 GC .08 .05 1.00 .21 CL −.12 −.05 .21 1.00

HedgesMoves together

Combined portfolio & diversification

Blend your strategies — equal or inverse-volatility weighted — into one combined equity curve, and read the diversification benefit: the book's Sharpe and drawdown against the sum of its parts.

Portfolio Sharpe2.41 vs 1.98 avg

Portfolio max DD−$9.1k vs −$15.4k

Drawdown cushioned41% vs separate

Try it live

The numbers

See your strategy the way a risk manager does.

Not vanity stats. Every figure is computed trade-by-trade, net of the round-trip commission you set — from the headline numbers down to the risk-adjusted and tail ratios an institutional desk lives by.

Net P&L

$48,210

142 trading days

Sharpe (annualized)

1.92

252-day, net of fees

Profit factor

2.34

gross win ÷ gross loss

Win rate

61.4%

312 W / 196 L

Max drawdown

−$6,840

−9.1% from peak

Expectancy

$95

expected $ / trade

Avg win / loss

$270 / −$184

payoff ratio 1.47

Days underwater

23%

of all trading days

Risk-adjusted & tail metrics

Sortino

2.71

downside-deviation Sharpe

Calmar / MAR

1.34

return ÷ max drawdown

Recovery factor

7.05

net profit ÷ max DD

Ulcer index

2.8

depth × duration pain

VaR 95%

−$1,240

1-day tail loss

CVaR 99%

−$2,980

expected worst 1%

Tail ratio

1.18

right tail ÷ left tail

Kelly %

18%

optimal risk fraction

…plus SQN, max consecutive wins/losses, payoff ratio, per-weekday Sharpe, and a Context view that splits performance by real Cboe VIX regime and tracks edge stability over time.

Try it live

Take it with you

One analysis. Four ways out.

Every report is generated in your browser from exactly what's on screen — filters and all. The Markdown export is built for AI: hand it to ChatGPT or Claude and ask what it thinks of your edge.

.md

Built for AI

Every metric, verdict and the full trade ledger as clean text — drop it into ChatGPT or Claude and interrogate your backtest.

.pdf

Print-ready report

Native text and vector charts — selectable, searchable, and kilobytes instead of megabytes of screenshots.

.csv

For Excel & Sheets

Every table at raw, full precision — the ledger, daily series and all — straight into a spreadsheet.

.json

For scripts & APIs

Structured sections with raw values — numbers stay numbers, ready to pipe anywhere.

Three steps

From export to insight in under a minute.

No setup, no spreadsheets, no API keys. If you can export from TradingView, you're done.

01

Export from TradingView

Open the Strategy Tester, hit the ⋯ menu and choose Export → Excel. One file per symbol — the symbol is auto-detected from the Properties sheet.

ES_strategy.xlsxNQ_strategy.xlsx

02

Drop it in

Drag the files onto the page, set your round-trip cost, and hit Analyze. Everything is parsed locally in your browser — nothing is uploaded.

Drop TradingView .xlsx exports — multiple allowed

03

Read it, then stress-test it

Headline stats, heatmap and per-symbol ledger render instantly. Then Monte-Carlo the curve, check the risk-adjusted metrics, size it in the lab, and take the report with you — PDF, AI-ready Markdown, CSV or JSON.

Private by design

Your edge never leaves the building.

tradechef runs entirely in your browser. Your strategy data is parsed, computed, and rendered on your own machine — it never goes to a server, and there's nothing to leak.

Try it live
  • No uploads, ever

    Files are read with the browser's File API — bytes never touch a network.

  • No trade telemetry

    Your trades stay in your browser — never collected, never sent. Site stats are anonymous, cookieless page counts.

  • Saved sessions stay local

    Analyses persist in your browser's own IndexedDB — yours to clear anytime.

  • Exports you control

    PDF, AI-ready Markdown, CSV and JSON reports — all generated in-browser, saved by you.

Good to know

The questions worth asking.

What file does it take?

A TradingView Strategy Tester Excel (.xlsx) export. In the Strategy Tester, open the ⋯ menu (top-right) and choose Export → Excel. The symbol is auto-detected from the file's Properties sheet, and you can load multiple files at once to build a portfolio view.

Is my backtest data uploaded anywhere?

No. Every metric, chart and table is computed locally in your browser, and your files never leave your machine. The only server involved is the sign-in gate — it authenticates you, but never receives your trade data.

How are commissions handled?

Set a single round-trip cost and every net figure — Net P&L, profit factor, expectancy, Sharpe — is computed after fees. Leave it blank to see gross P&L.

What metrics does it compute?

The headline set — net & gross P&L, win rate, profit factor, expectancy, average win/loss, best/worst trade, max drawdown ($ and %), annualized Sharpe, days underwater — at the portfolio level, per symbol and per weekday, with a full drawdowns table. Plus the risk-adjusted and tail metrics a desk uses: Sortino, Calmar/MAR, recovery factor, Ulcer index, VaR & CVaR, tail ratio, max consecutive wins/losses, SQN and Kelly %.

How do I know my edge is real and not curve-fit?

That's what the trust engine is for. The Probabilistic & Deflated Sharpe estimate the odds your true Sharpe is genuinely above zero — Deflated discounting for how many strategy variants you tried and how short the sample is. The out-of-sample holdout hides the tail of your history and checks the edge still holds there. And Monte Carlo reshuffles your trades ~1,000× so you're judging a distribution of outcomes, not one lucky ordering.

What are Monte Carlo and "risk of ruin"?

Your backtest is one path. Monte Carlo resamples and reshuffles your trade sequence about a thousand times to build a cone of possible equity curves — so instead of a single max drawdown you get the 95th-percentile drawdown, and a risk of ruin: the share of simulations that would have blown up your account at its current size.

Does it do walk-forward optimization?

Honestly, no — and nothing that only reads a trade export can. True walk-forward re-optimizes a strategy's parameters out of sample, which needs the strategy engine itself. What tradechef does is an out-of-sample holdout: a chronological in-sample vs held-out split with a side-by-side consistency check. Very useful, and we call it what it is rather than overselling it.

How should I size the strategy?

The position-sizing lab re-runs your trades under Kelly, fractional-Kelly, fixed-fractional or volatility-target sizing and redraws the equity curve against your original fixed-qty run, so you can see what bigger size buys in return versus what it costs in drawdown and ruin risk. Since TradingView trades are fixed-qty, re-sizing scales each trade's P&L by a multiplier off running equity — an approximation, and labelled as one.

Can I test "what if I skipped Mondays / FOMC / big-loss days"?

Yes — that's the scenario engine. Toggle FOMC skip, exclude weekdays or months, filter by direction or entry time, and simulate daily/weekly loss limits. Filters apply at the trade level, so every metric and chart reconciles cleanly and instantly.

Can I compare two strategies or parameter sets?

Compare mode overlays two backtests' equity curves and stacks their monthly and day-of-week P&L so you can see exactly what a change bought you.

How much does it cost?

It's free to use right now — sign in, drop in a file, no card and no trial timer.

Stop guessing

Find out if your strategy
is actually good.

Your TradingView export already holds the answer. tradechef stress-tests it the way a desk would — and tells you whether to believe it, how much you can lose, and how to size it. In seconds.