Build an AI-powered trading bot with rule-based automation on Coinrule. Backtest ideas, manage risk, and run 24-7 across top exchanges without code.
410k+
users building rules
1M+
strategies created
20+
Exchanges Supported
Instead of reacting to every candle, Coinrule helps you translate your logic into an AI powered trading bot that runs consistently. Connect Binance, Coinbase, Kraken, OKX or Bybit via API keys and keep funds on the exchange. Set triggers like \"buy 2% when price drops 5% in 4 hours\" and add guardrails such as max daily loss. You get logs, alerts and a single dashboard to monitor performance.
Traders use intelligent automation to reduce noise and focus on repeatable signals. The platform combines indicator triggers, price conditions and time filters so rules behave predictably. For example, require RSI below 30 on 1-hour candles and a trend filter like MA200 rising before any entry. This helps reduce overtrading during choppy sessions.
On this platform, strategies are assembled like building blocks, not scripts. Chain conditions, set position sizing, and define exits with take profit and stop loss. A common setup is \"sell 50% at +6%, move stop to breakeven, then trail 2%\" to protect gains. Once stable, clone the rule to new pairs and adjust only thresholds.
Risk-First Automation
Every rule runs with the permissions you choose. Use read and trade keys, disable withdrawals, and set allocation caps per strategy. Add limits like \"never exceed 25% in one asset\" and cooldown timers to avoid rapid re-entries. Pause all bots instantly from the dashboard if needed.
Multi-Venue Coverage
Run the same logic across spot and perps where supported, and keep a unified view of exposure. Coinrule helps you compare results across exchanges without juggling multiple interfaces. For deeper automation concepts, see /automated-trading and /trading-strategies.
Grid Trading
Places buy and sell orders in a defined range with fixed spacing. Rebalances as fills occur. Works best in sideways markets with tight risk limits.
Buy the Dips
Buys after a defined pullback, such as -3% from a 24-hour high. Adds a stop loss if the drop extends beyond a second threshold. Exits on a rebound target.
Optimised RSI and MA Strategy
Enters when RSI falls below 35 while price stays above MA200. Exits when RSI rises above 60 or trend weakens. Designed for trend-aligned pullbacks.
Stop Loss and Trailing Take Profit
Sets an initial stop, then trails profits once price moves in your favor. Example: trail 2% after a +5% move. Helps lock in upside while limiting downside.
Volatility Breakout
Buys when price breaks above a recent high with an ATR-based buffer. Uses a time stop if momentum fades within N candles. Targets continuation moves.
Grid Trading
Places buy and sell orders in a defined range with fixed spacing. Rebalances as fills occur. Works best in sideways markets with tight risk limits.
Buy the Dips
Buys after a defined pullback, such as -3% from a 24-hour high. Adds a stop loss if the drop extends beyond a second threshold. Exits on a rebound target.
Optimised RSI and MA Strategy
Enters when RSI falls below 35 while price stays above MA200. Exits when RSI rises above 60 or trend weakens. Designed for trend-aligned pullbacks.
Stop Loss and Trailing Take Profit
Sets an initial stop, then trails profits once price moves in your favor. Example: trail 2% after a +5% move. Helps lock in upside while limiting downside.
Volatility Breakout
Buys when price breaks above a recent high with an ATR-based buffer. Uses a time stop if momentum fades within N candles. Targets continuation moves.
Supertrend Momentum
Enters when Supertrend flips bullish on 4-hour candles. Exits on a flip back to bearish or a fixed profit target. Adds a volatility filter to reduce whipsaws.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI confirms oversold. Sells near the middle or upper band. Best for range-bound conditions.
MA Crossover with Volume Filter
Trades a fast and slow moving average crossover only when volume exceeds a threshold. Exits on crossback or trailing stop. Avoids weak signals in low liquidity.
DCA Accumulator
Splits buys into scheduled tranches, such as $125 weekly for 4 weeks. Adds an extra buy if price dips 4% from the last entry. Reduces timing risk over time.
Market Structure Break (MSB)
Enters after a break of structure and a confirmation close above the level. Places stop below the broken swing and scales out at 1R and 2R. Focuses on clean trend shifts.
Unlike black-box systems, Coinrule keeps your logic transparent and editable. Combine signals like \"RSI below 32\" with context like \"only trade between 08:00 and 20:00 UTC\" or \"skip if spread widens\". Add confirmations such as \"price above VWAP\" to avoid chasing spikes. This makes optimization practical because you know exactly what changed.
An AI powered trading bot works best when it augments disciplined rules rather than replacing them. Use it to test variations faster, surface patterns, and keep execution consistent when you are away. Start with one market and one timeframe, then expand once results are stable. Keep position sizing conservative while you validate behavior across different volatility regimes.
Connect in minutes and deploy the same strategy to multiple venues. Many users run spot rules on Coinbase and Kraken while testing higher-frequency ideas on Bybit or OKX. Separate strategies by account, pair, or risk bucket, then monitor everything in one place. Alerts help you stay informed without staring at charts all day.
Templates give you a starting point, but iteration is where edge is built. Change one variable at a time, like RSI 30 to 33, and compare outcomes. Add a time stop such as \"exit after 12 hours if profit is under 1%\" to reduce dead trades. Keep notes so you can reproduce improvements later.
Launch BotFAQ
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Every action is traceable, so you can review why a trade happened. Check conditions, timestamps and exchange responses to debug quickly. This matters when you run multiple strategies at once. Clear reporting helps you refine rules without guesswork.
Use fixed size, percent of balance, or laddered entries to avoid oversized trades. A common approach is 1% per entry with a maximum of 3 entries per signal. Combine that with a portfolio cap to prevent concentration. Small sizing keeps learning affordable.
Add regime checks like ADX above 20 for trend strategies or a volatility ceiling for mean reversion. Block trades during major news windows or low-liquidity hours. Cooldowns like 30 minutes between entries prevent rapid churn. Simple filters often improve stability.
Start with one liquid pair, then expand to a basket once the logic behaves well. Clone the rule and adjust thresholds for each assets volatility. Monitor correlations so you do not accidentally double the same exposure. Portfolio-level limits keep the system balanced.
Browse proven templates, then modify one component at a time. Use /trading-strategies to understand when each style tends to perform. Keep a small library of versions so you can revert quickly. Iteration beats constant reinvention.
Build a rule, test it, and go live when the behavior matches your plan. Keep it simple, measure results, then add complexity only when it earns its place. Coinrule gives you the tools to run systematic execution across venues with clear risk controls.
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