Esta página también está en español. Ver en español →
Features Backtesting Automatic journal Futures & MT5 trade copier Prop firm simulator Stats & analytics Triggers & mistakes Academies & mentors Finances Public backtests See all →
Simulator Copier Reviews Pricing Contact Log in Start free
ESEN
Features / Stats & analytics
Stats & analytics

Find out where your edge is, and where you lose it

17+ professional metrics calculated instantly, broken down by session, day of the week and month. And when you want to go further: Monte Carlo, Kelly and risk of ruin, run on your own trades.

Performance by session232 trades
🌏 AsiaWR 41% · −3.2R
🇬🇧 LondonWR 54% · +6.8R
🇺🇸 New YorkWR 66% · +31.5R
Profit factor
2.12
Max DD
−6.4R
Best day
Tue
🧠 Verdict: your system is profitable in New York. You lose in Asia: consider not trading it.

The metrics the pros use

Calculated on your backtests and your journal, no formulas or spreadsheets.

📊

The essentials

Win rate, profit factor, expectancy, realized R:R, max drawdown, streaks and net P&L by period.

🕐

By session and time

Asia, London and New York, time windows, day of the week and month. Find out when you trade best.

🧠

Automatic verdict

A verdict on your system, the highlights of each section and up to seven concrete recommendations.

💬

AI assistant

Ask about your trades in plain English: your best month, your worst hour, your streaks or how you do on a given instrument.

📄

Exportable reports

Reports by month, year or custom period with equity curve, monthly breakdown and trade list. In HTML or PDF.

🎯

By trigger

The win rate of each confluence and of every combination. See triggers →

Advanced analysis

Is your system robust, or did you just get lucky?

A good backtest can simply be the result of the order your trades came in. Advanced analysis stress-tests it before you scale up your capital.

  • Monte Carlo: thousands of possible sequences built from your real trades to show the worst likely drawdown.
  • Kelly and Optimal F: what share of your capital makes sense to risk per trade.
  • Risk of ruin: the probability of blowing the account at your current risk.
  • Sharpe and recovery factor to compare systems against each other.
🎲 Monte Carlo · 1,000 simulations1% risk
Likely DD
−9.8%
Risk of ruin
0.4%
Kelly
3.1%
📈 Real capital · $10,000 startingcompounding
Fixed $100 risk$14,100
1% of balance$15,230
2% of balance$22,870
More risk also means deeper drawdowns. Compare before you decide.
Real capital New

How your account would really grow

Metrics in R don't tell you how much money you'd have. Real Capital applies compounding to your backtest trades, risking a percentage of your balance on each trade instead of a fixed amount.

  • Change the risk % and see the result instantly.
  • Compare scenarios and the drawdown each one implies.

It all works together

Every module feeds the others: whatever you log in your journal or backtest flows into the simulator, your stats and your mentor.

Try it with your own data

7 days of full access to every feature. No credit card required.