Build autonomous trading AI rules in Coinrule and automate execution 24-7 across Binance, OKX, Kraken and Hyperliquid, with risk controls and full logs.
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users building automations
1M+
strategies created
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Exchanges Supported
Instead of reacting to every candle, you can turn a thesis into autonomous trading AI rules that execute with discipline. In Coinrule, set triggers, sizing and exits, then run them across Binance, OKX and Kraken while you focus on research.
Traders often want intelligence without giving up control. Coinrule keeps decisions transparent by letting you define conditions with indicators, price moves and time windows. You can test an idea like buy 1 percent when price drops 3 percent in 2 hours, then sell 50 percent at plus 4 percent and trail the rest by 2 percent. Every action is logged so you can audit what happened and why.
On this platform you can automate spot strategies on major exchanges and extend to perps where supported, including Hyperliquid. For on-chain execution, smart accounts and session keys enable limited permissions while routing finds efficient liquidity. You keep custody and decide exactly what the system can do. That separation helps you scale automation without turning your account into an all-access API key.
Risk Controls First
Risk rules are not an afterthought. Add max allocation per coin, daily loss limits and cooldown timers after a stop. For example, stop trading a pair for 6 hours after two consecutive losses, or cap exposure to 15 percent of portfolio on any single token. These constraints keep automation consistent when volatility spikes.
Signals You Can Explain
Coinrule strategies are built from readable conditions like RSI, moving averages, trend filters and volatility triggers. You can combine them with time-based logic, such as only trading during the London-New York overlap, or skipping weekends. The result is systematic execution you can reason about, adjust and improve.
Buy the Dips
Buys after a 5 percent pullback within 4 hours and confirms with RSI below 40. Sells into a 4 percent rebound or exits on a 2.5 percent stop.
Grid Trading
Places a ladder of buys and sells inside a defined range with equal spacing. Re-centers the grid if price breaks out by more than 3 percent.
Volatility Breakout
Enters when price closes above the prior 20-candle high and ATR expands. Exits on a trailing stop that tightens from 3 percent to 1.5 percent after 8 percent profit.
Stop Loss and Trailing Take Profit
Opens a position on your chosen trigger, then applies a fixed stop and a trailing take profit. Trails by 2 percent once price is up 5 percent to protect gains.
Supertrend Momentum
Buys when Supertrend flips bullish on 4-hour candles and volume rises. Sells when Supertrend turns bearish or when price drops 2 percent from the peak.
Buy the Dips
Buys after a 5 percent pullback within 4 hours and confirms with RSI below 40. Sells into a 4 percent rebound or exits on a 2.5 percent stop.
Grid Trading
Places a ladder of buys and sells inside a defined range with equal spacing. Re-centers the grid if price breaks out by more than 3 percent.
Volatility Breakout
Enters when price closes above the prior 20-candle high and ATR expands. Exits on a trailing stop that tightens from 3 percent to 1.5 percent after 8 percent profit.
Stop Loss and Trailing Take Profit
Opens a position on your chosen trigger, then applies a fixed stop and a trailing take profit. Trails by 2 percent once price is up 5 percent to protect gains.
Supertrend Momentum
Buys when Supertrend flips bullish on 4-hour candles and volume rises. Sells when Supertrend turns bearish or when price drops 2 percent from the peak.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross or a time stop after 10 days.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Takes profit at the middle band and cuts risk with a 2 percent stop.
DCA Accumulator
Splits buys into scheduled tranches, like 4 weekly purchases of 125 dollars. Pauses DCA if price is 10 percent above MA200 to avoid chasing.
Breakout + Retest
Buys after a breakout, then waits for a retest within 1 percent of the level. Exits at 2R or on a close back below the breakout zone.
Portfolio Rebalance
Rebalances back to target weights on a weekly schedule or when drift exceeds 3 percent. Helps keep risk aligned without constant manual trades.
Templates give you a fast starting point, but you can edit every condition. Start with one market and one timeframe, then expand once results look stable. Use a simple rule like buy when RSI crosses below 30 on 1-hour candles, then sell when RSI crosses above 55. Add a second layer like only trade when price is above MA200 to avoid downtrends. This approach keeps your automation understandable and easier to debug.
Every strategy runs as a set of if-this-then-that checks on live market data. You choose the trigger frequency, the order type and the position size, then the system executes exactly what you defined. To reduce overtrading, add delays like wait 30 minutes after an entry before evaluating exits. You can run multiple rules at once, but still keep a single view of exposure across exchanges. That structure makes it easier to iterate without turning your account into a spaghetti of manual orders.
Unlike opaque models, autonomous trading AI on Coinrule stays anchored to your constraints and your logic. You can require confirmations, such as only entering after two consecutive closes above a level, or skipping trades when funding is above 0.05 percent. Add portfolio limits, stop losses and trailing exits so the system behaves consistently in fast markets. If you want to go further, combine a trend rule with a hedge rule that reduces exposure when volatility rises. You stay in charge of what gets traded, when, and how much.
Connect accounts via exchange API keys and keep funds on the venue. Coinrule supports major CEXs like Binance, Coinbase, Kraken, OKX and Bybit, plus perps venues where available. You can run the same logic across multiple accounts or isolate strategies per exchange. Clear permissions and logs help you review activity quickly. If you prefer on-chain, smart accounts can execute with limited session permissions.
Launch NowFAQ
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Many users start with a dip-buy plus trend filter, then add a separate take-profit rule. Others run a grid in a range and disable it automatically when a breakout trigger fires. A third common setup is scheduled accumulation with a pause condition when price overheats. These patterns are simple, explainable and easy to monitor. They also translate well across different coins and exchanges.
Choose market or limit orders depending on liquidity and slippage tolerance. Add minimum volume filters to avoid thin books, and use cooldowns to prevent rapid-fire entries. If you trade perps, define leverage conservatively and cap notional exposure. Use separate rules for entries and exits so you can adjust risk without rewriting the whole strategy. Small operational choices often matter as much as the signal.
Coinrule is non-custodial, so you keep control of assets while automation handles execution. For CEXs, you connect via API keys and can restrict permissions to trading only. For on-chain, smart accounts and session keys can limit what a strategy is allowed to do. This design reduces single points of failure and keeps control where it belongs. Review permissions regularly as part of your routine.
If spreads widen, volatility jumps, or your strategy hits a predefined drawdown, pause and review. Add a rule that reduces size by 50 percent after three losses in a row, then restores size after a win. Consider disabling mean reversion during strong trends, or disabling breakouts during choppy ranges. The goal is not constant trading, but controlled participation. Good automation includes a plan for when not to trade.
To go deeper, review related workflows like position management and portfolio rules, see /automated-trading. You can also explore indicator-driven setups and risk templates inside the strategy library. Keep a short list of strategies you understand well and iterate on them. Over time, your best rules become reusable building blocks. That is how systematic trading scales.
Start with one template, connect an exchange, and set conservative limits. Launch a single strategy, monitor the logs for a week, then expand to more pairs once behavior matches expectations. Keep it simple, then improve one variable at a time. Coinrule is built for that workflow.
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