Deploy trading rules with historical performance data. Access backtested strategies validated across market conditions with clear metrics on risk and returns.
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Templates on Coinrule come with performance metrics from months of historical data across multiple market conditions. Each backtested strategy shows win rates, maximum drawdown and average returns so you understand what to expect before going live. The platform tests rules against past price action on Binance, Coinbase and Kraken to surface realistic performance expectations.
Every strategy template displays testing results including Sharpe ratios, volatility metrics and correlation data. You can filter templates by historical performance, risk levels or market conditions to find rules that match your risk tolerance. The system shows how approaches performed during bull markets, bear markets and sideways consolidation periods.
Templates include detailed breakdowns of when approaches worked best and struggled most. You see performance during high volatility periods, trending markets and range-bound conditions. This historical context helps you understand which market environments favor specific methodologies.
Strategy performance metrics
Each template shows maximum drawdown periods, consecutive loss streaks and recovery timeframes from historical testing. You can review monthly returns, volatility-adjusted performance and correlation with major market moves. Risk metrics help you size positions appropriately based on historical behavior patterns.
Validated rule combinations
The platform combines indicators that showed statistical significance in testing rather than random combinations. RSI oversold levels, moving average crossovers and volume confirmations are calibrated based on historical effectiveness across different timeframes and market cap segments.
Buy the Dips
Purchases assets when price drops below key support levels with RSI confirmation. Exits on bounce to resistance or time-based stops. Effective during trending markets with healthy corrections.
Grid Trading
Places buy and sell orders at regular intervals around current price. Profits from range-bound movement and volatility. Works best in sideways markets with predictable support and resistance.
Moving Average Scalper
Enters positions on moving average crossovers with volume confirmation. Quick exits on profit targets or MA recross. Optimized for trending markets with clear directional moves.
RSI and MA Combination
Combines RSI oversold/overbought signals with moving average trend confirmation. Enters when both indicators align for higher probability setups. Reduces false signals in choppy markets.
RSI Oversold Rebound
Buys when RSI drops below 30 on daily charts with additional momentum confirmation. Exits when RSI exceeds 70 or after predetermined time period. Strong performance in volatile markets.
Buy the Dips
Purchases assets when price drops below key support levels with RSI confirmation. Exits on bounce to resistance or time-based stops. Effective during trending markets with healthy corrections.
Grid Trading
Places buy and sell orders at regular intervals around current price. Profits from range-bound movement and volatility. Works best in sideways markets with predictable support and resistance.
Moving Average Scalper
Enters positions on moving average crossovers with volume confirmation. Quick exits on profit targets or MA recross. Optimized for trending markets with clear directional moves.
RSI and MA Combination
Combines RSI oversold/overbought signals with moving average trend confirmation. Enters when both indicators align for higher probability setups. Reduces false signals in choppy markets.
RSI Oversold Rebound
Buys when RSI drops below 30 on daily charts with additional momentum confirmation. Exits when RSI exceeds 70 or after predetermined time period. Strong performance in volatile markets.
Volatility Breakout
Triggers entries when price breaks above recent volatility ranges with volume surge. Captures momentum moves and trending breakouts. Most effective during high volatility periods.
DCA Accumulator
Dollar-cost averages into positions over time regardless of price movement. Reduces timing risk and smooths entry prices. Particularly effective for long-term accumulation strategies.
Trailing Stop System
Implements dynamic risk management with trailing stops that lock in profits as positions move favorably. Balances risk control with profit maximization during trending moves.
Supertrend Momentum
Uses Supertrend indicator to identify and follow momentum trends. Enters on trend confirmations and exits on trend reversals. Effective in strongly trending market conditions.
Volume-Filtered Crossover
Executes trades on moving average crossovers but only when accompanied by above-average volume. Filters out weak signals and focuses on high-conviction moves with institutional participation.
Once deployed, your automation continues generating performance data that extends the testing record. The platform tracks live results against historical expectations, showing whether real-world performance matches projected outcomes. You can compare actual fills, slippage and execution timing against simulated results.
Historical validation identifies which market regimes favor specific approaches. Templates show performance during bull runs, bear markets, high volatility periods and low volatility consolidation. This regime analysis helps you activate appropriate automation based on current market conditions and switch between approaches as markets evolve.
Beyond simple returns, testing results include Sharpe ratios, Sortino ratios and maximum drawdown analysis. These risk-adjusted metrics help you compare approaches on a level playing field. A method with lower returns but much lower volatility might be preferable to a high-return, high-risk approach depending on your objectives.
The platform runs forward testing on paper trading to validate that historical approaches perform similarly in live market conditions. This out-of-sample testing catches overfitting issues and confirms that historical performance wasn't just curve-fitted to past data. Forward testing results provide additional confidence before committing real capital.
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Side-by-side performance comparisons let you evaluate multiple approaches using the same historical data sets. You can compare momentum methods against mean reversion, different indicator combinations and various risk management approaches. This comparative analysis helps identify which methods complement each other and which might be redundant in your portfolio.
Historical validation identifies optimal parameter ranges for indicators like RSI thresholds, moving average periods and stop-loss levels. Rather than guessing at settings, you can see which parameter combinations produced the best risk-adjusted returns across different market conditions.
Testing results show how approaches correlate with overall market movements, Bitcoin dominance shifts and volatility regimes. This correlation analysis helps you understand when methods might all move together versus providing diversification benefits during different market phases.
Historical data reveals seasonal patterns and calendar effects that influence performance. Some approaches work better during certain months, days of the week or times of day. This seasonal analysis helps you time activation and understand cyclical performance variations.
Historical validation reveals how performance changes with position size and market impact. Some approaches work well with small positions but degrade with larger size due to slippage and market impact. This capacity analysis helps you understand scaling limitations before they affect live performance.
The platform continuously refines testing methodology as new data and market conditions emerge. Machine learning techniques help identify regime changes and parameter drift that might affect performance. This ongoing improvement ensures validation remains relevant as markets evolve.
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