Post-trade analysis for anyone who trades crypto, perps or spot

Which of your setups made money, which lost it, and which we can't tell yet.

Most traders can't answer that from memory, and it isn't a discipline problem. In one study, investors' estimates of their own returns had no significant link to their real ones (Glaser and Weber, 2009). Your trades already hold the answer.

Open the demoNo sign-up. Runs on a sample book.
Start with your own trades →Email only, no card. Free for 7 days.

Trial limits: 1,000 trades tagged (up to 2,500 saved), 3 Monte Carlo runs of 100 simulations each, single-account prop survival, no export.

Crypto only for now: any coin with a US dollar pair on Coinbase. See which coins.

Not financial advice. Figures on this page, simulated ones included, describe past trades and do not predict future results.

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This is a sample book, and a good one. Yours will look different, and the interesting part is where.

Symbol
Conditions
Net PnL
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Win Rate
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Profit Factor
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Trades
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Avg Win
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Avg Loss
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Every trade: signal and noise. The unfiltered baseline you start from.

Based on real NoxarQuant enriched trades. loading…

The audit we published

We ran it on 11,888 real trades. Our own top verdict never fired once.

Nearly three years of a real book, and not one set of conditions cleared the bar for a proven edge. We published it anyway, with the verdicts frozen before the test.

The book did have an edge: +$1.86 a trade before costs. It paid $8.00 a trade to take them. The edge was real, and 4.3 times too small to pay for itself.

On the trades held back, 84% of the groups it flagged kept losing (65% of the rest did too), and they lost almost twice as much a trade: $7.69 against $4.16.

Read the full audit

Costs are modelled at $8.00 a trade on a fixed $10,000 position, not taken from exchange invoices, and funding on held positions is not included, so the real gap is wider. At half that cost, the edge is still 2.2 times too small.

Verdicts on the first 8,321 trades, frozen before the test
0Strongproven edge
1Promisingbuilding a case
26No clear edge30+ trades, nothing either way
57Too earlyunder 30 trades
19Lost moneylost consistently

Most groups were too early to judge, or had the trades and showed nothing either way. The tool says so rather than guess.

How it works

Three steps, and the second one is the work.

  1. Drop in your trades.

    A CSV from Bybit, Binance, Hyperliquid, TradingView, MetaTrader, NinjaTrader, thinkorswim or Interactive Brokers. Anything else, the columns are mapped for you.

  2. Every trade is labelled with the market it was taken in.

    The session, volatility, RSI band and trend at the minute you traded, worked out from price data for every trade. You don't tag anything.

  3. You get a verdict for each setup in each set of conditions.

    Made money. Lost money. Not enough data yet, which is the most common answer. A group with five trades or fewer scores zero, so you can't filter your way to a good score.

Prop survival

Your trades, replayed through a firm's rules.

Challenges are lost on the loss limits, usually the daily one, not the profit target. Four ways to ask how your past trading fared against them, each running on the sample book in the demo.

Who it is for

Which one are you?

You trade your own accountIs it your setup, or the market? See which of your setups made money and in which conditions, which lost it, and which do not have enough trades yet to tell.See it on a sample book →You pay for signals or copy a lead traderYour provider publishes their win rate. This is the one your account actually got.For copy traders →You're buying prop challengesChallenges are failed on the loss limits, not the profit target. See which rule would have ended yours, and what the attempts would have cost.For prop traders →You're funded and want to stay fundedYou passed. The question now is how long it lasts, and which of your setups have been spending the cushion.For funded traders →You build your own systemsIt runs on your real fills, not a backtest of a strategy that never met a live order book. Your AI assistant can use it too.For systematic traders →
Price

Basic $29 · Pro $69 · Elite $129 a month.

Your price stays the same for as long as your subscription stays active on the same plan and billing period. No discount codes and no free accounts for insiders: everyone pays the listed price.

Basic$29/mo
The journal, your groups that lost money and the ones without a verdict yet, and the prop survival headline for one account.
Pro$69/mo
Every group and verdict, the Risk module, the full Monte Carlo, prop survival, export, and the MCP and API.
Elite$129/mo
Everything in Pro, more trades a month, a 2,000-simulation Monte Carlo, and Hive Mind.
Start with your own tradesCompare the plans in full

Every plan starts with a 7-day free trial of Pro, email only, no card. Trial limits: 1,000 trades tagged (up to 2,500 saved), 3 Monte Carlo runs of 100 simulations each, single-account prop survival, no export.

Want one answer about one account instead? The one-off audit is $99, up to 25,000 trades, nothing renews.

The hard questions

Answers to the hard questions

What happens to my data?
Your trades are used to run your own account and nothing else. We don't use them to train, tune or test anything for another account, and we don't sell them. Figures pooled across traders only appear when at least five traders share a pattern, and you can switch even that off at /data-sharing. Delete your account and your trades go with it, with everything worked out from them. The detail is in the privacy policy and on can you see my edge?
What can I journal right now?
Crypto perps and spot, on any coin with a US dollar pair on Coinbase, BTC, ETH and SOL among them, wherever you traded it: Hyperliquid, Bybit, Binance or anywhere that exports your trades. Each trade in one of those coins is tagged with the market conditions it was taken in. See the full list and search for your coin. It is read from Coinbase and updated daily. Trades come in as a CSV file: download the template to see the format.
What about futures, stocks and forex?
Crypto perpetual futures (perps) are covered, as above. Futures on other markets, stocks and forex are not grouped yet, and there is no date. Those trades still import: they are saved in your journal, count in your P&L and run through the prop survival replay, but they are not grouped by market conditions. If that is what you trade, email help@noxarquant.com with what and where: requests decide what is added first.
Is this just another trading journal?
No. Other journals record execution and ask you to tag trades by hand. NoxarQuant auto-enriches every trade with the market conditions it was taken in, then clusters them by condition and classifies each cluster by statistical edge under sample penalty. Even before the classifier has the sample size to fire verdicts, the journal layer alone is doing more than typical journaling tools. The input resembles a journal. The output is a different class of tool.
I only have 50 trades. Is this worth it?
Honest answer: at 50 trades most groups read too early. There isn't enough data per setup for a strong or promising verdict to fire reliably. But the journal floor is still higher than what other trading journals give you. Every trade auto-enriches with the market conditions it was taken in, then clusters against your own history. No manual tagging, no guesswork. On top of that you get behavioural breakdowns and your first groups that lost money, because loss patterns surface earlier than win patterns. If you're logging daily you'll cross the classifier threshold inside 2 to 3 months. If not, treat NoxarQuant as a journal with statistical honesty until your sample grows.
Do I need thousands of trades to get value?
No, but be honest about what you get when. The journal layer, the auto-enrichment of market conditions, the behavioural breakdowns, and your first groups that lost money work from trade one. Loss patterns concentrate on identifiable conditions earlier than win patterns do. Strong and promising verdicts on what's working typically firm up around 100 to 200 trades per setup. Below that, those groups read too early, and the tool tells you explicitly when it doesn't have enough data to judge. That staging is the point.
Is the Monte Carlo just hype?
It is bootstrap resampling with replacement on your chronological out-of-sample segment, run up to 2,000 times depending on tier: a standard resampling technique from the statistics literature, applied to your own trades rather than a single equity curve. Whether it survives the label "hype" depends on the reader. See it worked through.
Can I actually use the exported data?
Yes, on Pro and Elite (export is not part of the free trial or Basic). Exports include full cluster keys, classifications, SWI scores, and every enrichment field. JSON or CSV. The format is designed to feed TradingView, a Python research notebook, or an execution system directly.
Is there an approval wait, or can I start now?
Start now. Create an account, upload your CSV, and your cluster map populates. No review queue, no credit card. "Founding cohort" refers to the pricing, not a gate: your price stays the same for as long as your subscription stays active on the same plan and billing period. The free trial is 7 days of Pro features for everyone, within the trial limits: 1,000 trades tagged (up to 2,500 saved), 3 Monte Carlo runs of 100 simulations each, single-account prop survival, no export.
What's the difference between the 7-day free trial and a paid Pro subscription?
The free trial gives you Pro features for 7 days: cluster classification, the 3D map, your PRM (Portfolio Risk Metric, one 0 to 100 rating for the whole book) with and without the groups that lost money, and a sampled Monte Carlo. It is limited to 1,000 trades tagged (up to 2,500 saved), 3 Monte Carlo runs of 100 simulations each and single-account prop survival, and it does not include export. The full 1,000-simulation Monte Carlo unlocks on Pro. There's no free tier; after 7 days you need a paid subscription (Basic, Pro, or Elite) to keep using the app. Your trade data stays in your account either way, ready to pick back up if you subscribe later. Paid Pro is the same feature set without the trial limits: 7,500 trades tagged a month and up to 25,000 saved, new trades enrich automatically, PRM tracks over time, and JSON/CSV export is included.
I'm a systematic trader. Does this help me?
Yes. Systematic traders are one of the two primary founding profiles. Grouping trades by market conditions finds failures that depend on those conditions, which often don't show up in aggregate backtests, and the JSON export (Pro and Elite) feeds directly into strategy research pipelines. An AI assistant can use it through the MCP server: see the docs.
Who answers support?
The founder, who built NoxarQuant. Email help@noxarquant.com, use the Report bug button inside the app, or request a phone call and you'll get a call back. No ticket queue, no chatbot.

Your trade history already holds the answer.

See the screens on a sample book first, or start with your own trades.

Open the demoStart with your own trades

The demo needs no sign-up. The trial is 7 days, email only, no card. Trial limits: 1,000 trades tagged (up to 2,500 saved), 3 Monte Carlo runs of 100 simulations each, single-account prop survival, no export.

For Informational Purposes Only. Not Financial Advice. All Analysis Is Derived From Your Own Historical Data.