Design AI-inspired, rule-based automation in Coinrule and execute consistently across Binance, Kraken, OKX, Bybit and Hyperliquid with built-in risk controls.
410k+
users building rules
1M+
strategies created
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Exchanges Supported
Instead of guessing what a model might do, a Neural Trading Bot workflow on Coinrule turns signals into clear if-then rules you can test and audit. Connect Binance, Kraken or OKX, set entries, exits and position sizing, then let automation run 24-7. Example: if BTC drops 4% in 6 hours and RSI(1H) < 30, buy 2% of balance, then place a 2.5% stop loss and a 6% take profit.
Traders often start with a hypothesis like momentum, mean reversion or regime switching, then translate it into indicators and filters. Coinrule lets you combine RSI, moving averages, Supertrend and volume conditions without code. Add time windows, cooldowns and confirmation rules so the system does not overtrade in noisy ranges.
On this platform you can deploy one strategy to multiple exchanges while keeping a single view of exposure. Run spot on Coinbase and perps on Hyperliquid, or keep it simple on Bybit and Bitget. Rules stay consistent, and logs show exactly why each order fired so you can iterate with confidence.
Risk First Automation
Risk controls are part of the build, not an afterthought. Set max daily loss, max open positions, and per-trade risk caps like 1% of equity. Add a volatility brake such as: if ATR(1H) rises above its 20-period average by 30%, reduce order size by half and widen stops.
Templates To Start Fast
Pick a proven template, then swap in your preferred signals and thresholds. You can clone, paper test, and go live when results look stable. See /automated-trading for more on rule design and execution.
Buy the Dips
Buys after a defined pullback, such as -5% from a 24H high. Adds a confirmation filter like RSI below 40. Exits with a fixed take profit and a protective stop.
Grid Trading
Places staggered buys and sells inside a range to capture chop. Uses spacing you define, like 0.8% steps, and a cap on total inventory. Works best when volatility is steady.
Optimised RSI and MA Strategy
Enters when RSI(4H) crosses above 35 while price is above MA200. Exits when RSI exceeds 65 or price closes below the moving average. Adds a time stop to avoid stagnation.
Volatility Breakout
Triggers a buy when price breaks a recent high and ATR expands. Uses a tight initial stop, then trails once profit exceeds a threshold like 3%. Designed for trend days and news moves.
Stop Loss and Trailing Take Profit
Opens a position from your chosen signal, then manages exits automatically. Sets a hard stop like -2% and trails profit in steps, for example 1% behind price after +4%. Reduces emotional exits.
Buy the Dips
Buys after a defined pullback, such as -5% from a 24H high. Adds a confirmation filter like RSI below 40. Exits with a fixed take profit and a protective stop.
Grid Trading
Places staggered buys and sells inside a range to capture chop. Uses spacing you define, like 0.8% steps, and a cap on total inventory. Works best when volatility is steady.
Optimised RSI and MA Strategy
Enters when RSI(4H) crosses above 35 while price is above MA200. Exits when RSI exceeds 65 or price closes below the moving average. Adds a time stop to avoid stagnation.
Volatility Breakout
Triggers a buy when price breaks a recent high and ATR expands. Uses a tight initial stop, then trails once profit exceeds a threshold like 3%. Designed for trend days and news moves.
Stop Loss and Trailing Take Profit
Opens a position from your chosen signal, then manages exits automatically. Sets a hard stop like -2% and trails profit in steps, for example 1% behind price after +4%. Reduces emotional exits.
Supertrend Momentum
Buys when Supertrend flips bullish on 1H or 4H candles. Adds a volume filter to avoid weak breakouts. Sells on the first bearish flip or a trailing stop.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI confirms oversold. Scales out at the mid band, then exits at the upper band. Includes a time stop if price does not revert.
MA Crossover with Volume Filter
Enters when a fast MA crosses above a slow MA with volume above its 20-period average. Exits on the cross back or a fixed risk-reward target. Helps avoid low-liquidity whipsaws.
DCA Accumulator
Splits a budget into scheduled buys, such as $500 per month into four $125 weekly entries. Adds a dip booster like buy an extra 1% if price drops 3% in a day. Useful for long-term stacking.
Funding Rate Mean Reversion
For perps, reduces long exposure when funding turns very positive, then re-adds when it normalizes. Uses a threshold like funding > 0.03% per 8H. Pairs with a trend filter to avoid fading strong moves.
Unlike black-box systems, Coinrule makes every condition explicit so you can validate it on historical data. Test variations like RSI < 28 vs 32, or MA100 vs MA200, and compare drawdowns. Then paper trade to confirm live behavior matches the backtest. When you go live, start small and scale only after consistent execution.
Your funds stay on your exchange accounts, while Coinrule connects via API keys with limited permissions. Use trade-only keys, keep withdrawals disabled, and rotate keys anytime. For on-chain automation, smart accounts and session keys can limit what the automation is allowed to do. This setup keeps control where it belongs: with you.
Rules can chain signals, confirmations and risk actions in one flow. Example: when ETH closes above MA50 and MA200 is rising, buy 1.5% of balance, then if price moves +2% set a trailing stop at 1%. Add a cooldown like 12 hours after an exit to prevent rapid re-entry. These details are where performance often improves.
After launching, monitor positions, exposure and bot status from one dashboard. Alerts tell you when a rule triggers, when risk limits pause trading, or when an exchange connection needs attention. You spend time refining logic, not chasing candles.
Launch BotFAQ
Sofia G.
Michael R.
Lars H.
Priya K.
Diego R.
Yuki T.
Choose an exchange, create API keys, and link them to Coinrule in a few steps. Start with one market and one rule, then expand once you see stable execution. Keeping scope tight early makes optimization easier.
If you trade perpetuals, treat leverage as a separate risk layer. Add rules that reduce size when funding spikes, and cap total exposure across positions. A constraint like max 2 concurrent perps trades can prevent cascading losses.
Many AI-style ideas fail because they ignore market regime. Add a trend filter such as MA200 slope, or an ADX threshold, before enabling breakout entries. When conditions are not met, the system can stand down automatically.
Review triggered actions, slippage and missed fills in the activity log. Adjust one variable at a time, then re-test so you know what changed. This workflow keeps improvements measurable.
Increase allocation only after a meaningful sample of trades and stable drawdown behavior. Use position sizing rules like 0.5% to 2% per entry, and keep a portfolio-level stop. Consistency matters more than speed.
Turn signals into rules, test them, and run them across your preferred exchanges with clear risk limits and full transparency. Coinrule is built for systematic traders who want control without complexity.
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