Backtest Trading Gratuit : Simulateur Monte Carlo 1000 Runs + 86 Stratégies IA | EN
⚠ 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.

📊 Backtest Trading Gratuit : Simulateur Monte Carlo 1000 Runs + 86 Stratégies IA

Testez vos stratégies sur des données historiques réelles

⚙️ Configuration

🏆 Battle Backtest

Lance un backtest de TOUTES les 16 stratégies de l'arène et découvre laquelle aurait gagné sur la période sélectionnée !

⏱️ Peut prendre 30-60 secondes pour tester toutes les stratégies

🏟️ Arène

🏦
Buy&Hold
📊
MeanRev
🚀
Momentum
🐢
Turtle
📐
Grid

🤖 IA

🔵
Gemini
🟠
Claude
🟢
GPT
Grok
🔴
DeepSeek
🟣
Perplexity
🤖
AutoWin

🎮 GPU/CUDA

🎮
CUDA GPU
🧬
CUDA Evolved
🛡️
Event Proof
GPU v2 Ultimate

📜 Légendes

🌊
Wyckoff
📈
Livermore
📦
Darvas

📊 Quant Avancé

👑
MTF King
📊
MeanRev Pro
🎭
Sentiment

🧠 Meta

🧠
Meta Intelligence

📈 Indicateurs

🛡️ Gestion du Risque

90%
📊

Prêt à backtester

Configurez votre stratégie et lancez le backtest pour voir les résultats

📈 Résultats

+0%
+0%
Retour Total
0
Sharpe Ratio
0%
Max Drawdown
0%
Win Rate
0
Trades
0
Profit Factor

💰 Courbe d'Équité

📉 Drawdown

📅 Retours Mensuels

📊 Métriques Avancées

0
Sortino
0
Calmar
0%
Volatilité
0%
Exposition
-
Buy & Hold
-
Alpha
-
Frais (0.1%)

🏆 Comparaison des Stratégies

BTC • 3 Mois

Rang Stratégie Retour Sharpe Drawdown Win Rate Trades Fees

Backtester: test your strategies on historical data

The backtester lets you test 86 strategies on historical data (1 year of 5min OHLCV). Includes: Monte Carlo simulation (1000 bootstrap trajectories), robustness score, percentiles, and comparison vs Buy & Hold. The YouTube Strategy Tester also extracts strategies from YouTube videos.

Free Crypto Backtesting Tool — Test Any Strategy on Historical Data

Backtest any of our 86 AI trading strategies on historical data. Monte Carlo simulation with 1,000 random scenarios. Sharpe ratio, max drawdown, win rate, equity curve visualization.

Also try: ML Arena (XGBoost vs LSTM) | All 86 Strategies | Live Leaderboard

Quantitative Trading Essentials

🛒
Advances in Financial ML — Marcos Lopez de Prado
Quant — Amazon
🛒
Python for Finance — Yves Hilpisch
Coding — Amazon
🛒
NVIDIA RTX 4080 Super
Fast Backtesting — Amazon

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📖 How it works
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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.