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⚠ NOT INVESTMENT ADVICE · Strategy Arena is an educational simulation. All strategies trade paper capital on real market data. Nothing shown here is a recommendation to buy, sell, or hold any asset.
MONTE CARLO BACKTESTER

Free Trading Backtester

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Test trading ideas on historical market data, compare them with Strategy Arena paper-trading strategies and inspect robustness with Monte Carlo-style thinking.

Compare Strategies Read the Backtesting Guide
Historical Data

Use past price series to test rule-based ideas before trusting them in live paper trading.

Risk Metrics

Look beyond raw profit with drawdown, win rate, Sharpe-style ratios and trade counts.

Robustness First

Treat impressive single backtests as hypotheses until they survive broader validation.

Educational use only

This backtesting surface is designed for learning and strategy research. It does not provide financial advice and does not trade real funds.

📖 How it works
TradingView
Validated idea? Open the charting layer.
Strategy Arena validates the strategy. TradingView is where builders inspect charts, Pine and alerts.
Official partner link. TradingView states referred users receive a $15 coupon toward their next plan.
Survivor ArenaScript Pine v5 TradingView
Validated examples Open TradingView

Backtest Your Trading Strategies on Real Data

Test your trading strategies using Strategy Arena's backtesting engine. Access historical BTC data, run Monte Carlo simulations to measure robustness, and compare performance across multiple timeframes. Every strategy in the Evolution Lab is backtested nightly by the Darwin Engine before improvements are kept.

Results feed into the 7-Framework Health Check (Risk-Reward, Consistency, Robustness, Stress Resistance) and the Knowledge Graph where 126 AI nodes share backtesting insights. The Arena Brain uses backtest data to answer questions about strategy performance.

📊 Pourquoi 92% des backtests echouent en prod

Look-ahead bias, survivorship bias, p-hacking : 3 erreurs qui transforment un backtest stellaire en strategie morte en prod. Et personne n en parle.

Chiffre cle 92% des strategies backtest echouent en prod selon Lopez de Prado (Advances in Financial ML, 2018). Le ratio Sharpe perd 50-70% entre backtest et live.

📖 Sources d autorite