Test your trading strategies with free backtesting across crypto and stock markets. Validate rules on historical data from Binance, Coinbase, and major brokers before going live.
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Exchanges with Historical Data
Free backtesting on Coinrule lets you validate trading strategies against months or years of historical market data. Run your RSI, moving average, and DCA rules through past market conditions to see how they would have performed. The platform pulls data from Binance, Coinbase, Kraken, and other major exchanges to give you realistic results.
The system provides tick-by-tick data for precise entry and exit testing across 1-minute to daily charts. You can test crypto strategies using BTC, ETH, and altcoin price history or validate stock rules with equity data from major US markets.
Every test includes exchange fees, spread costs, and realistic slippage to show true performance metrics. The engine accounts for market impact and liquidity constraints that affect real trading results.
Strategy performance metrics
Each test generates win rate, maximum drawdown, Sharpe ratio, and profit factor statistics. You can analyze monthly returns, worst-case scenarios, and risk-adjusted performance to validate strategy viability.
Multi-timeframe testing capabilities
Test the same strategy across different market periods including bull markets, bear markets, and sideways consolidation phases to understand how rules perform in various conditions.
Buy the Dips
Purchases assets when price drops below moving average support levels. Exits when RSI exceeds 70 or price recovers above resistance. Effective during volatile downtrends with strong recovery patterns.
Grid Trading
Places buy and sell orders at regular intervals above and below current price. Profits from range-bound markets through systematic grid execution. Works best in sideways trending assets.
Moving Average Scalper
Enters long when fast MA crosses above slow MA on 15-minute charts. Exits on opposite crossover or 2% profit target. Quick scalping strategy for trending market sessions.
RSI Mean Reversion
Combines RSI oversold signals with moving average trend confirmation. Buys when RSI below 30 and price above MA200. Exits when RSI exceeds 65 or MA trend reverses.
Oversold Bounce Hunter
Targets oversold conditions when RSI drops below 25 on daily timeframes. Holds position until RSI recovers above 50. Simple mean reversion approach for volatile assets.
Buy the Dips
Purchases assets when price drops below moving average support levels. Exits when RSI exceeds 70 or price recovers above resistance. Effective during volatile downtrends with strong recovery patterns.
Grid Trading
Places buy and sell orders at regular intervals above and below current price. Profits from range-bound markets through systematic grid execution. Works best in sideways trending assets.
Moving Average Scalper
Enters long when fast MA crosses above slow MA on 15-minute charts. Exits on opposite crossover or 2% profit target. Quick scalping strategy for trending market sessions.
RSI Mean Reversion
Combines RSI oversold signals with moving average trend confirmation. Buys when RSI below 30 and price above MA200. Exits when RSI exceeds 65 or MA trend reverses.
Oversold Bounce Hunter
Targets oversold conditions when RSI drops below 25 on daily timeframes. Holds position until RSI recovers above 50. Simple mean reversion approach for volatile assets.
Volatility Breakout
Enters positions when price breaks above Bollinger Band upper limit with high volume. Uses ATR-based stops and trailing exits. Captures momentum moves in trending markets.
DCA Accumulator
Dollar-cost averages into positions over time regardless of price action. Splits total allocation across weekly or monthly intervals. Reduces timing risk through systematic accumulation.
Dynamic Risk Manager
Implements dynamic risk management with percentage-based stops and trailing profit targets. Adjusts exit levels as positions move favorably while protecting downside.
Supertrend Momentum
Uses Supertrend indicator to identify trend direction and entry points. Enters long when price breaks above Supertrend line. Exits when indicator flips bearish or stops hit.
Volume Confirmed Crossover
Requires volume confirmation above 20-day average for moving average crossover signals. Filters false breakouts through volume validation. Improves signal quality in trending markets.
The testing interface lets you run multiple strategies simultaneously to compare performance metrics. You can test different parameter combinations like RSI thresholds or moving average periods to optimize results.
After historical testing shows promising results, you can run forward tests on paper trading to validate performance in current market conditions. This bridges the gap between historical simulation and live execution.
Download test results as CSV files for deeper analysis in Excel or other tools. Export trade logs, equity curves, and performance statistics for comprehensive strategy evaluation.
Test strategies under different market stress scenarios including flash crashes, extended bear markets, and high volatility periods. Understand worst-case drawdowns before deploying capital.
Analyze StrategyFAQ
Marcus K.
Elena R.
Viktor S.
Sofia M.
Chen W.
Priya N.
Use validation to find optimal settings for indicators, stop losses, and profit targets. Test different RSI thresholds, moving average periods, and position sizes to maximize risk-adjusted returns.
Analyze how strategies perform across different market conditions including trending, ranging, and volatile periods. Understand when rules work best and adjust parameters accordingly.
Test multiple strategies running simultaneously to understand portfolio-level performance and correlation effects. Ensure strategies complement rather than compete with each other.
Run enough tests across different time periods to ensure results are statistically meaningful. The platform helps identify whether performance is due to skill or luck.
Use ongoing validation to refine and improve existing strategies as market conditions change. Regular testing helps maintain edge and adapt to evolving market dynamics.
Once testing confirms strategy viability, deploy rules to live markets with confidence. The platform maintains the same execution logic between simulation and real trading for consistent results.
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