Build rule-based automation for programmable finance. Trigger entries, exits and rebalances across Binance, OKX, Kraken and on-chain venues with clear controls.
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users building rules
1M+
strategies executed
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Exchanges Supported
Instead of reacting to every candle, Coinrule lets you treat Programmable money as simple rules that execute consistently. Set conditions like \"buy 2% when price drops 5% in 4 hours\" and automate orders across Binance, Kraken and Bybit with logs, alerts and risk limits.
Traders start with a template, then adjust it to match risk and timeframe. Add indicator logic such as RSI below 30 on 1-hour candles, or a moving average filter to avoid buying into downtrends. Once enabled, the system monitors markets 24/7 and places orders through exchange API keys while funds stay on the venue.
Automation becomes more useful when it coordinates multiple actions, not just a single entry. Chain steps like scaling in, taking partial profits and tightening a stop as price moves. For example, take 25% profit at +6%, another 25% at +10%, then trail the rest by 3%.
Rule Modules
Users mix price triggers, indicators and time schedules to create repeatable playbooks. A common setup is a weekly DCA plus a volatility filter that pauses buys when ATR spikes above a set threshold. This keeps the logic simple while still adapting to changing conditions.
Safety First
Every strategy can include guardrails like max position size, cooldown timers and portfolio exposure caps. Add a global kill switch to pause all rules if drawdown exceeds 8% in a day. These controls help keep automation disciplined when markets get noisy.
Buy the Dips
Buys after a 4% drop from the 24h high with RSI below 40. Adds buys at -6% and -8%. Exits on a 5% rebound or a time stop.
Grid Trading
Places buys and sells inside a defined range, such as 8% wide. Takes profit on each bounce and rebuys on pullbacks. Best for sideways markets with clear bounds.
Stop Loss and Trailing Take Profit
Enters on a close above the prior day high. Sets a 2.5% stop loss and starts a 3% trailing take profit after +4%. Exits on trail hit or stop.
Supertrend Momentum
Buys when Supertrend flips bullish on 4-hour candles and volume beats its 20-period average. Sells when Supertrend turns bearish or price closes below the line. Built for momentum.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells at the middle band, then optionally the upper band. Adds a time stop if price stalls.
Buy the Dips
Buys after a 4% drop from the 24h high with RSI below 40. Adds buys at -6% and -8%. Exits on a 5% rebound or a time stop.
Grid Trading
Places buys and sells inside a defined range, such as 8% wide. Takes profit on each bounce and rebuys on pullbacks. Best for sideways markets with clear bounds.
Stop Loss and Trailing Take Profit
Enters on a close above the prior day high. Sets a 2.5% stop loss and starts a 3% trailing take profit after +4%. Exits on trail hit or stop.
Supertrend Momentum
Buys when Supertrend flips bullish on 4-hour candles and volume beats its 20-period average. Sells when Supertrend turns bearish or price closes below the line. Built for momentum.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells at the middle band, then optionally the upper band. Adds a time stop if price stalls.
DCA Accumulator
Splits a monthly budget into four weekly buys. Pauses if price is 10% above the 30-day moving average. Resumes when price returns near the average.
Breakout + Retest
Buys after price breaks resistance, then retests within 1% of the level. Confirms with a higher high on 1-hour candles. Exits at 6% or on a failed retest.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above its 30-period average. Exits on the reverse cross or a 3% drop from entry. Filters weak signals.
RSI Divergence Hunter
Finds bullish divergence on 4-hour charts where price makes a lower low but RSI makes a higher low. Buys on confirmation close. Sells when RSI exceeds 65 with a stop under the swing low.
Portfolio Rebalance
Rebalances back to targets, such as 50% BTC and 50% ETH, on a weekly schedule. Uses a 3% drift threshold to reduce churn. Keeps allocations aligned.
On this platform you can run the same logic across Coinbase, KuCoin, OKX and Bitget without rebuilding everything per exchange. The interface standardizes order types, sizing and risk settings so strategies stay comparable. That makes it easier to evaluate performance and iterate.
For decentralized finance, Coinrule can execute through smart accounts so you keep self-custody while still automating actions. Session keys can limit permissions, such as only swapping up to $500 per day or only interacting with approved tokens. Routing can use Li.fi to find efficient liquidity across Base, Arbitrum and Binance Smart Chain.
Unlike black-box tools, each rule is explicit and reviewable before you go live. You can backtest ideas, paper trade and then deploy with the same parameters. If a trade fires, you can see the exact condition, timestamp and order details.
When volatility spikes, set a hedge rule that sells 20% of exposure if funding turns positive and price drops 3% in 1 hour. For trend days, buy when MA50 is above MA200 and price closes above VWAP on 15-minute candles. For risk control, stop all bots if total equity falls 6% from the weekly high.
Build BotFAQ
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Once a strategy is stable, clone it and change one variable at a time. Try RSI 30 vs 35, or switch from 1-hour to 4-hour candles, and compare results. This workflow turns trading into experimentation instead of guesswork.
Use API keys with trading enabled but withdrawals disabled on centralized exchanges. On-chain, prefer session-based permissions that cap spend and restrict contracts. Small constraints prevent big mistakes.
Single-bot stops are not enough when you run multiple strategies. Add exposure caps like 25% max per asset and 60% max total in alts. This keeps correlations from surprising you.
When spreads widen or liquidity thins, reduce frequency or switch to higher timeframes. A simple filter is to pause new entries if 1-hour ATR doubles versus its 14-day average. Waiting is a position too.
If you want more examples, see /automated-trading and explore the template library. Start from proven structures, then tailor them to your assets and risk. The goal is repeatable execution you can explain.
Connect an exchange, choose a template and set three numbers: entry trigger, position size and exit plan. Start small, review the logs and refine. Consistency comes from process, not prediction.
Launch Bot
