Use AI-driven insights to spot regimes, test ideas and automate execution with Coinrule across major exchanges and on-chain venues with clear risk controls.
410k+
users building rules
1M+
strategies created
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Exchanges Supported
Instead of collecting dashboards, you can turn AI market analysis into clear if-then rules that execute the same way every time. Coinrule connects to Binance, Coinbase, Kraken, Bybit and more, so your logic can run where you trade.
Traders often confuse a good story with a repeatable edge. Coinrule helps you validate ideas with backtests, then paper trade to see how the logic behaves across different volatility regimes. You can compare results by timeframe, entry filter and exit style, then iterate quickly without rewriting code.
When conditions change, discretionary decisions get noisy. Use indicator gates like RSI, moving averages and volatility bands to define what a trend, range or breakdown looks like for your strategy. Then let the engine enforce it 24/7, including pauses when spreads widen or price whipsaws.
Signal Hygiene
Unlike black-box calls, rules make assumptions explicit. For example, require MA50 above MA200 and RSI above 55 before any long entry, and block trades if 1-hour ATR jumps above 6 percent. This keeps weak signals from turning into overtrading.
Execution Layer
Coinrule focuses on systematic execution: entries, exits, DCA and hedges run from the same dashboard, with logs that show exactly why each order fired. You keep custody via exchange API keys, and you can extend automation to on-chain routes on Base or Arbitrum when needed.
Volatility Breakout
Buys on a 4-hour close above the prior 20-candle high with rising ATR. Adds only if volume confirms. Exits on a trailing stop after a 2.5 percent pullback.
Grid Trading
Places a symmetric grid in a defined range and re-centers if price drifts 3 percent beyond the midpoint. Uses fixed sizing per level. Stops the grid if ATR exceeds a set threshold.
RSI Divergence Hunter
Looks for bullish divergence on 1-hour candles with RSI higher lows while price makes lower lows. Enters after a close above a short MA. Takes profit near the prior swing high.
Stop Loss and Trailing Take Profit
Enters on a trigger, then sets a 2 percent hard stop and 1.8 percent trailing take profit. Tightens the trail to 1.0 percent after a 6 percent unrealized gain. Built to cut losers fast.
DCA Accumulator
Splits a $500 monthly budget into four $125 weekly buys. Adds an extra buy if price drops 5 percent within 24 hours. Pauses accumulation when RSI exceeds 70.
Volatility Breakout
Buys on a 4-hour close above the prior 20-candle high with rising ATR. Adds only if volume confirms. Exits on a trailing stop after a 2.5 percent pullback.
Grid Trading
Places a symmetric grid in a defined range and re-centers if price drifts 3 percent beyond the midpoint. Uses fixed sizing per level. Stops the grid if ATR exceeds a set threshold.
RSI Divergence Hunter
Looks for bullish divergence on 1-hour candles with RSI higher lows while price makes lower lows. Enters after a close above a short MA. Takes profit near the prior swing high.
Stop Loss and Trailing Take Profit
Enters on a trigger, then sets a 2 percent hard stop and 1.8 percent trailing take profit. Tightens the trail to 1.0 percent after a 6 percent unrealized gain. Built to cut losers fast.
DCA Accumulator
Splits a $500 monthly budget into four $125 weekly buys. Adds an extra buy if price drops 5 percent within 24 hours. Pauses accumulation when RSI exceeds 70.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is above the 20-period average. Sells when MA20 crosses back below MA50. Best on 4-hour or daily charts to reduce noise.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35 on 1-hour candles. Sells at the middle band, then scales out near the upper band. Exits if no rebound in 12 hours.
Portfolio Rebalance
Targets fixed weights like 50/30/20 across three assets and rebalances weekly. Skips rebalancing if slippage exceeds a set limit. Helps keep exposure aligned without manual work.
Supertrend Momentum
Enters when Supertrend flips bullish on 4-hour candles and price is above VWAP. Exits on the first bearish flip or a 3 percent stop. Avoids low-volume sessions.
Breakout + Retest
Buys after a daily breakout, then waits for a retest within 1 percent of the level. Confirms with a higher low on 4-hour candles. Exits at 2R or on a failed retest close.
Once you define your inputs, the next step is consistent execution. Coinrule lets you map signals to actions like buy, sell, reduce, hedge or pause, then route orders to OKX, KuCoin or Bitget with the same logic. You can add safeguards such as max daily trades, per-asset exposure caps and cooldown timers after a stop. A practical setup is: if price drops 5 percent in 4 hours, buy 2 percent of balance, but only if funding is neutral and spread is below 0.15 percent. That is how AI market analysis becomes a repeatable workflow instead of a one-off call.
For tokens that trade best on decentralized venues, you can automate on-chain execution while keeping self-custody. Coinrule uses smart accounts and session keys for limited permissions, and routes swaps via Li.fi to find efficient pools. This is useful when CEX liquidity thins out or when you want to rotate into new assets quickly.
Risk controls should change with timeframe. A 1-hour mean reversion bot might use a 1.5 percent stop and a 6-hour time stop, while a daily trend system can tolerate wider swings. You can enforce portfolio-level rules too, like halting all strategies if total drawdown hits 8 percent in a week.
Every bot produces an audit trail so you can review triggers, orders and outcomes. This makes it easier to debug false positives and refine filters. If you want a deeper overview, see /automated-trading for how rule logic is structured.
Build StrategyFAQ
Marco P.
Priya K.
James W.
Yuki T.
Amara N.
Lars H.
Treat strategy building like product iteration. Start with a hypothesis, define measurable triggers, and track outcomes over at least 50 trades. Then adjust one variable at a time so you know what improved performance.
More indicators do not always mean better results. Use two or three conditions that describe the market regime, then let exits and sizing do the heavy lifting. If a rule only works on one month of data, simplify it.
Alerts are useful, but they still rely on you being online. Convert key alerts into actions like reduce exposure, tighten stops or pause new entries. Keep manual control for exceptional events, not routine decisions.
If you trade perps, define hedge logic that activates only when trend filters break. For example, open a small short when price closes below MA200 and funding turns positive, then close it when trend recovers. This keeps hedges purposeful instead of permanent.
No tool can remove uncertainty. Automation cannot guarantee fills, eliminate slippage or predict news. What it can do is enforce discipline, document decisions and keep execution consistent across venues.
Create one rule, run it in demo, and review the trade log after a week. If the behavior matches your intent, scale gradually and add portfolio limits. For more building blocks, see /templates and /pricing.
Launch Bot
