Build rule-based bots to automate entries, exits and risk controls across Binance, Coinbase, Kraken and Hyperliquid, with no coding required.
410k+
traders building rules
1M+
strategies created
20+
Exchanges Supported
Instead of reacting to every candle, Smart trading automation on Coinrule turns your plan into if-then rules that execute consistently. Example: buy 2% of balance if BTC drops 5% in 4 hours, then set a 3% stop loss and a 6% take profit.
Your funds stay on your exchange while the platform connects via API keys with limited permissions. Run the same strategy across Binance, Kraken, Bybit, OKX or Bitget from one dashboard. You can pause, edit or disable rules instantly when market conditions change.
Templates help you start quickly, but every condition is editable. Add indicators like RSI, moving averages and Supertrend, then combine them with time filters and position sizing. You always see what triggered each order in the logs, so you can iterate like a systematic trader.
Risk Controls First
Every bot can include max allocation, cooldown timers and portfolio-level stops. For example, stop trading for 12 hours after 3 consecutive losses, or cap exposure to one coin at 15%. These controls keep automation disciplined when volatility spikes.
Multi-Venue Execution
Run spot strategies and, where available, perps workflows with consistent rules across venues. You can separate long-term accumulation from short-term tactics by using different rule groups and budgets. That structure makes performance easier to compare and improve.
Buy the Dips
Buys after a 3% to 7% pullback from a recent high on 4H candles. Adds a second entry after another drop. Exits on a rebound to target profit or a time stop.
Grid Trading
Places staggered buy and sell orders inside a defined range. Uses equal spacing or percentage steps to capture chop. Stops the grid if price breaks out beyond the range.
Optimised RSI and MA Strategy
Enters when RSI falls below 35 while price holds above a long moving average. Exits when RSI rises above 60 or price closes below the MA. Fits 1H to 4H charts.
Volatility Breakout
Buys when price closes above a breakout level as volatility expands. Adds confirmation with a volume or candle filter. Uses a tight stop and trails profit as the move extends.
DCA Accumulator
Splits a fixed budget into scheduled buys, like $500 per month as four $125 weekly orders. Optionally increases size when price is 5% below the 30D average. Reduces buys when trend weakens.
Buy the Dips
Buys after a 3% to 7% pullback from a recent high on 4H candles. Adds a second entry after another drop. Exits on a rebound to target profit or a time stop.
Grid Trading
Places staggered buy and sell orders inside a defined range. Uses equal spacing or percentage steps to capture chop. Stops the grid if price breaks out beyond the range.
Optimised RSI and MA Strategy
Enters when RSI falls below 35 while price holds above a long moving average. Exits when RSI rises above 60 or price closes below the MA. Fits 1H to 4H charts.
Volatility Breakout
Buys when price closes above a breakout level as volatility expands. Adds confirmation with a volume or candle filter. Uses a tight stop and trails profit as the move extends.
DCA Accumulator
Splits a fixed budget into scheduled buys, like $500 per month as four $125 weekly orders. Optionally increases size when price is 5% below the 30D average. Reduces buys when trend weakens.
Stop Loss and Trailing Take Profit
Sets an initial stop, then activates a trailing take profit after a threshold gain. Example: stop at -3%, trail by 1.5% once profit exceeds 4%. Protects downside while letting winners run.
Supertrend Momentum
Enters when Supertrend flips bullish on 1H or 4H candles. Exits on the first bearish flip or a fixed risk limit. Adds a cooldown to reduce whipsaws.
MA Crossover with Volume Filter
Buys when a fast MA crosses above a slow MA and volume is above its 20-period average. Sells on the cross back or if volume fades. Helps avoid weak signals in low liquidity.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI confirms oversold. Takes profit near the middle band or upper band. Uses a time stop if mean reversion is slow.
Portfolio Rebalance
Rebalances to target weights on a schedule, like weekly or month-end. Sells assets above target and buys those below. Adds a drift threshold, such as rebalancing only if allocation moves 3% off target.
Unlike black-box tools, Coinrule shows each trigger, condition and order in plain language. You can backtest logic on historical data, then go live with small sizing. When a rule fires, the audit trail explains the exact price, indicator value and timestamp.
Start with a simple trend rule: buy when MA20 crosses above MA50 on 4H candles, sell when it crosses back. Add a filter like RSI above 50 to reduce false entries. Then layer risk: stop at 2.5%, take profit at 5%, and trail by 1% after 3% gain.
When you run Smart trading automation across multiple venues, consistency matters more than complexity. Coinrule lets you clone a strategy and adjust only the pair list or sizing per exchange. That makes it easier to compare fills and performance between Coinbase, KuCoin and Binance without rewriting logic.
Slippage, gaps and sudden spikes happen. Use limit orders where appropriate, add price deviation checks, and set cooldowns after large candles. These details often matter more than adding another indicator.
Launch BotFAQ
Lars H.
Priya K.
Emma T.
Diego R.
Michael R.
Yuki T.
Write down what must be true before you enter, and what ends the trade. Convert that into two or three conditions, not ten. A good starting point is one trigger, one filter and one exit.
Set real-time notifications for large moves, failed orders and drawdown thresholds. Alerts do not replace risk rules, but they keep you informed. Treat them as your monitoring layer while the system executes.
Most blowups come from sizing, not signals. Use fixed percentages like 1% to 3% per entry and cap total exposure per asset. Increase size only after a strategy proves stable over many trades.
If you adjust RSI, do not also change the stop and timeframe in the same iteration. Keep a simple changelog and compare before and after. This approach makes improvements repeatable.
Add filters that avoid low-liquidity hours or extreme volatility. A simple rule like pausing after a 10% candle can prevent chasing spikes. Sometimes the best trade is no trade.
Start with one template, connect one exchange, and run a small budget for a week. Review triggers, fees and slippage, then refine. When the workflow feels stable, scale gradually across more pairs and venues.
Get Access
