Build, test and run automated crypto strategies with a rule-based engine. Connect Binance, Coinbase, OKX or Hyperliquid for consistent execution.
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users building rules
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strategies created
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Exchanges Connected
Instead of watching charts all day, an AI trading automation platform like Coinrule turns your conditions into orders across connected exchanges. Set triggers such as RSI below 30 on 1-hour candles, then buy 2% of balance and place a 3% stop loss. The system runs 24/7 and records every action so you can review what worked.
Traders build automation with a visual editor that reads like a checklist: IF this happens, THEN do that. Combine price moves, indicators and time windows without writing code. For example, require MA50 above MA200 before any long entry, then scale out 25% at +4% and another 25% at +8%.
On this platform you can run the same strategy on Binance, Coinbase, Kraken, OKX or Hyperliquid without rewriting logic. API keys keep execution fast while your funds stay on the venue. If you prefer on-chain automation, smart accounts and session keys can limit permissions while routing swaps to best liquidity.
Built-In Risk Guardrails
Risk controls include max allocation per asset, max open positions and cooldown timers after a loss. You might cap exposure to 15% per coin, stop trading after 3 consecutive losses, or pause when volatility exceeds an ATR threshold. Alerts keep you informed without forcing you to babysit charts.
Transparent Automation Logs
Every bot action is logged with the exact trigger, timestamp and venue so you can audit decisions. Clone a rule, change one parameter, and compare results without guesswork. For deeper setup guidance, see /automated-trading and /crypto-trading-bot.
Buy the Dips
Buys after a 5% drop in 4 hours with a trend filter. Adds a second entry if price falls another 3%. Exits on a 6% rebound or a trailing take profit.
Grid Trading
Places a grid of buys and sells inside a defined range. Reposts orders after fills to harvest chop. Adds a hard stop if price breaks the range by 2%.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 while price is above MA100. Exits when RSI exceeds 65 or MA100 breaks. Fits 4-hour or daily candles.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands. Sets a stop at 1.5x ATR and trails after +3%. Skips low-volume periods.
DCA Accumulator
Splits a monthly budget into weekly buys, then adds extra buys on -4% dips. Pauses when price is 10% above the 30-day average. Built for steady accumulation.
Buy the Dips
Buys after a 5% drop in 4 hours with a trend filter. Adds a second entry if price falls another 3%. Exits on a 6% rebound or a trailing take profit.
Grid Trading
Places a grid of buys and sells inside a defined range. Reposts orders after fills to harvest chop. Adds a hard stop if price breaks the range by 2%.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 while price is above MA100. Exits when RSI exceeds 65 or MA100 breaks. Fits 4-hour or daily candles.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands. Sets a stop at 1.5x ATR and trails after +3%. Skips low-volume periods.
DCA Accumulator
Splits a monthly budget into weekly buys, then adds extra buys on -4% dips. Pauses when price is 10% above the 30-day average. Built for steady accumulation.
Stop Loss and Trailing Take Profit
Opens on your chosen signal, then manages exits automatically. Starts with a 3% stop loss and trails profit after +5%. Tightens the trail as gains increase.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is above its 20-period average. Sells on crossback or if volume dries up. Helps reduce chop signals.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 40. Takes profit at the middle band, then exits at the upper band. Adds a 48-hour time stop.
Funding Rate Hedge
When funding turns strongly positive, reduces long exposure and adds a hedge. Reverts when funding normalizes and trend stays intact. Built for perps risk control.
Portfolio Rebalance
Rebalances to target weights on a schedule or when drift exceeds 5%. Sells overweight assets and buys underweight ones. Helps maintain risk across a basket.
Unlike black-box bots, Coinrule keeps you in control with explainable rules and optional AI guidance for iteration. In the middle of your workflow, the AI trading automation platform can suggest parameter ranges, but you decide the final triggers. Try a simple rule: if BTC drops 3% in 2 hours and RSI is below 35, buy 1% and set a 2.5% stop. Then backtest, adjust, and deploy with the same logic.
Your funds do not move to Coinrule. For centralized venues, the system connects via exchange API keys with permissions you choose. For on-chain execution, smart accounts can use session keys so a bot can trade without full wallet control.
Templates cover spot entries, perp hedges and on-chain swaps in one interface. You can run a spot DCA on Coinbase, a hedge on Hyperliquid and an on-chain rotation on Base without juggling tools. Routing can optimize liquidity while keeping the same rule logic.
After launching, review performance by rule, asset and venue. Set alerts for drawdown, missed triggers and unusual slippage. Small iterations beat constant strategy hopping.
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Every bot is a repeatable process, not a one-off gamble. Use templates as baselines, then document assumptions in rule names and notes. That discipline makes reviews faster and more honest.
Set order types, slippage limits and time-in-force where supported. Add delays between actions to avoid rapid-fire entries. When markets move fast, these small settings matter.
See exposure by asset and by venue so you do not double-count risk. Rebalancing rules can keep allocations near targets. A single dashboard reduces blind spots.
Use smart accounts for self-custody and limit what a session key can do. Route swaps across liquidity sources to reduce fragmentation. Keep the same rule logic whether you trade on a CEX or on-chain.
Start from proven patterns like grids, breakouts and mean reversion, then tune parameters to your market and timeframe. Backtests help you spot overfitting before you deploy. Treat automation as an experiment loop.
Connect an exchange, choose a template, and set clear risk limits before you go live. Keep it simple for the first week, then iterate with data. Coinrule is built to make systematic execution approachable.
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