Build systematic trading with a rules first trading approach. Create disciplined execution workflows across exchanges with predefined conditions and automated risk controls.
410k+
traders using rule-based systems
1.2M+
rule executions completed
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Rules first trading establishes clear conditions before you enter any position across Binance, Coinbase and Kraken. You define entry triggers, exit criteria and risk parameters upfront rather than making emotional decisions during volatile moments. This systematic approach removes guesswork and creates consistent execution patterns that compound over time.
The platform enforces your predefined logic through automated execution that never deviates from established parameters. When RSI drops below 30 while price stays above MA200, your system buys exactly 2% of allocated balance. No second-guessing, no fear-based hesitation, just mechanical implementation of tested strategies.
Ready-to-use templates demonstrate proven rule structures you can customize for different market conditions. Each template shows clear if-then logic with specific entry points, stop losses and profit targets. You understand exactly when and why each trade triggers before activating any strategy.
Predefined risk controls
Every strategy includes mandatory stop losses, position sizing limits and maximum drawdown controls that execute automatically. You cannot override these safeguards during emotional moments, ensuring discipline remains intact even during unexpected market moves.
Systematic execution engine
Coinrule processes your rule logic through a systematic engine that evaluates conditions continuously without fatigue or emotional interference, maintaining consistent decision-making across all connected exchanges.
Buy the Dips
Purchases assets when price drops below moving average with RSI confirmation. Exits when price recovers above resistance levels. Systematic approach to catching oversold conditions.
Grid Trading
Places buy and sell orders at predetermined intervals above and below current price. Profits from range-bound markets through systematic grid execution. Rebalances automatically.
Moving Average Scalper
Enters positions when short-term MA crosses above long-term MA with volume confirmation. Quick exits on momentum reversal. Designed for trending market conditions.
RSI Oversold Rebound
Buys when RSI falls below 30 on 4-hour charts with price above key support. Sells when RSI exceeds 70. Simple mean reversion strategy for volatile assets.
Volatility Breakout
Triggers entries when price breaks above Bollinger Band upper limit with increased volume. Rides momentum until volatility contracts. Systematic breakout capture.
Buy the Dips
Purchases assets when price drops below moving average with RSI confirmation. Exits when price recovers above resistance levels. Systematic approach to catching oversold conditions.
Grid Trading
Places buy and sell orders at predetermined intervals above and below current price. Profits from range-bound markets through systematic grid execution. Rebalances automatically.
Moving Average Scalper
Enters positions when short-term MA crosses above long-term MA with volume confirmation. Quick exits on momentum reversal. Designed for trending market conditions.
RSI Oversold Rebound
Buys when RSI falls below 30 on 4-hour charts with price above key support. Sells when RSI exceeds 70. Simple mean reversion strategy for volatile assets.
Volatility Breakout
Triggers entries when price breaks above Bollinger Band upper limit with increased volume. Rides momentum until volatility contracts. Systematic breakout capture.
DCA Accumulator
Splits purchases into regular intervals regardless of price action. Reduces average cost basis over time through consistent buying. Long-term accumulation strategy.
Stop Loss and Trailing Take Profit
Implements dynamic stop losses that tighten as profits increase. Protects gains while allowing upside participation. Risk-first approach to position management.
Supertrend Momentum
Follows Supertrend indicator signals for trend direction confirmation. Enters on trend changes, exits on reversal signals. Systematic trend-following approach.
MA Crossover with Volume Filter
Requires both moving average crossover and volume spike for entry confirmation. Filters false signals through multi-condition validation. Higher probability setups.
Range Bound Reversal
Identifies support and resistance levels for mean reversion trades. Buys near support, sells near resistance. Systematic range for sideways markets.
Before deploying any strategy, you can backtest the system performance across historical data to verify effectiveness. The platform shows win rates, maximum drawdowns and profit factors for different market conditions. This validation process ensures your automation has statistical edge before risking real capital.
When market conditions change, you modify automation through systematic testing rather than emotional adjustments. Clone existing strategies, adjust parameters and compare performance metrics before implementing changes. This structured approach maintains discipline while allowing strategic evolution.
Multiple strategies operate simultaneously under portfolio-wide risk controls that prevent overexposure to single assets or market conditions. Your framework manages correlation risk and ensures diversified execution across different trading approaches and timeframes.
Track performance through detailed logs that show every trigger, execution and outcome. Receive alerts when strategies hit predefined performance thresholds or risk limits. This transparency ensures you understand exactly how your systematic approach performs in live markets.
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The platform maintains detailed records of every modification with timestamps and performance impact analysis. You can revert to previous versions if new parameters underperform, ensuring systematic improvement rather than random changes.
Strategies can incorporate signals from multiple timeframes while maintaining clear execution hierarchy. Daily trend filters might override hourly entry signals, creating sophisticated structures that remain logically consistent and testable.
Beyond simple profit metrics, the system optimizes for risk-adjusted returns including Sharpe ratios and maximum drawdown constraints. This ensures your systematic approach prioritizes consistent performance over high-risk speculation.
Automated rebalancing follows predefined allocation logic that maintains target weightings across assets and strategies. When one position grows beyond limits, the system automatically redistributes according to your systematic framework rather than emotional preferences.
While maintaining systematic discipline, the platform includes emergency stops and portfolio-wide halt functions for extreme market conditions. These overrides require deliberate activation and automatically log reasons for later systematic review and improvement.
Regular performance reviews identify which parameters contribute most to portfolio returns and which need modification or retirement. This systematic evaluation process ensures your approach evolves based on statistical evidence rather than market emotions or recent performance bias.
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