Build AI-inspired crypto automation without code. Turn signals into rule-based execution with testing, logs, risk controls and multi-exchange support.
410k+
users building automations
1M+
strategies created
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Exchanges Supported
Instead of trusting an opaque model, Coinrule gives you a neural network trading platform style workflow with transparent rules, logs and controls. Connect Binance, Kraken, Bybit and OKX to automate entries, exits and hedges from one dashboard while you keep custody via exchange APIs.
Traders often start with a hypothesis and then struggle to execute it consistently. Translate signals into conditions like price moves, indicator thresholds and time windows. Example: buy 2 percent of balance if BTC drops 5 percent in 4 hours and RSI(14) is below 35. Add a sell rule when RSI rises above 60 or price recovers 4 percent from entry.
Before going live, validate ideas with backtests and paper trading to see how rules behave across regimes. Add guardrails like max position size, cooldown timers and portfolio exposure caps. A simple preset could set a 2.5 percent stop loss, a 6 percent take profit and a trailing take profit that tightens to 1.5 percent once profit exceeds 10 percent. These controls help you iterate like a quant, without writing code.
Model-like workflows, rule clarity
Users combine filters, triggers and risk modules the way an ML pipeline chains features and constraints. Gate trades with volatility checks, trend confirmation and time-of-day rules. If funding turns extreme, pause new entries and switch to hedged exposure. Everything stays auditable and editable.
Multi-venue execution layer
Run the same logic across spot and perps where supported, and keep a unified view of orders and exposure. Clone a strategy, change one parameter and compare outcomes. For more context on systematic execution, see /automated-trading.
Volatility Breakout
Enters when price breaks the prior 20-candle high and ATR expands. Exits on a close back inside the range or a fixed stop. Best on 1H to 4H charts.
Mean Reversion with Z-Score
Buys when Z-score drops below -2 with a neutral trend filter. Sells when Z-score reverts to 0 or reaches +1. Adds a 24-hour time stop.
MA Crossover with Volume Filter
Buys when the fast MA crosses above the slow MA and volume is above its 20-period average. Sells on crossback or if volume fades. Built for cleaner trend entries.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI confirms oversold. Takes profit at the middle band and exits at the upper band. Uses a tight stop.
Supertrend Momentum
Enters on a Supertrend flip to bullish with higher-high confirmation. Exits on the first bearish flip or a trailing stop. Useful for extended moves.
Volatility Breakout
Enters when price breaks the prior 20-candle high and ATR expands. Exits on a close back inside the range or a fixed stop. Best on 1H to 4H charts.
Mean Reversion with Z-Score
Buys when Z-score drops below -2 with a neutral trend filter. Sells when Z-score reverts to 0 or reaches +1. Adds a 24-hour time stop.
MA Crossover with Volume Filter
Buys when the fast MA crosses above the slow MA and volume is above its 20-period average. Sells on crossback or if volume fades. Built for cleaner trend entries.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI confirms oversold. Takes profit at the middle band and exits at the upper band. Uses a tight stop.
Supertrend Momentum
Enters on a Supertrend flip to bullish with higher-high confirmation. Exits on the first bearish flip or a trailing stop. Useful for extended moves.
Grid Trading
Places a symmetric grid around a reference price with fixed spacing. Buys lower levels and sells higher levels to harvest range volatility. Includes a max drawdown stop.
RSI Divergence Hunter
Looks for bullish divergence while RSI is below 40 and price makes a lower low. Enters on a confirmation close. Exits at prior resistance or RSI above 60.
Stop Loss and Trailing Take Profit
Opens from any entry signal, then manages exits automatically. Uses a fixed stop and a trailing take profit that activates after a target gain. Limits downside while letting winners run.
Dynamic Grid with ATR Spacing
Builds a grid where spacing adapts to ATR, widening in high volatility. Re-centers after a breakout to avoid overtrading. Best for choppy markets.
Perps Trend Follower
Enters perps when trend and momentum align on 4H candles. Reduces size if funding becomes unfavorable. Exits on reversal or a volatility-based trailing stop.
For many traders, a neural network trading platform sounds powerful but hard to control. Coinrule keeps the spirit of adaptive decision-making while staying rule-first, so you can explain every entry and exit. You can test ideas like: trade only when ADX is above 25, risk 1 percent per trade, and stop after three losses in a day. When results look stable, deploy the same logic across venues with consistent limits.
After you connect API keys, the platform routes your rules to the venues you already use. Rotate between Coinbase, KuCoin, Bitget and Hyperliquid depending on liquidity and products. Keep separate strategies per exchange or mirror one playbook across all. Permissions stay limited to what you enable.
Risk controls are not an afterthought. Set max daily loss, max open positions and per-asset allocation caps to prevent runaway exposure. Add a circuit breaker that pauses all bots if portfolio drawdown hits 8 percent in a day. Use cooldown timers so a strategy cannot re-enter for 30 minutes after a stop loss. These constraints make automation more robust during fast markets.
Templates give you a fast baseline, then you iterate by changing one variable at a time. Adjust timeframes, indicator lengths and thresholds, and compare behavior across market phases. Keep notes in strategy names so you can track versions.
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Marco P.
Sarah K.
Lars H.
Priya K.
Diego R.
Yuki T.
When you can explain a trade, you can improve it. Rules show which condition fired and which filter blocked an entry. That clarity helps you debug faster than tweaking a mysterious model.
One strategy rarely fits all regimes. Combine a trend follower with a mean reversion bot and a defensive hedge rule, then cap total exposure. Rebalance allocations weekly or monthly to avoid drift.
Start with robust signals like price, volume and widely used indicators. Add simple context filters such as volatility bands or funding thresholds. Keep complexity earned, not assumed.
Use naming conventions, versioning and change logs so you know what is running. Schedule strategy checks to avoid overtrading during illiquid hours. Set alerts for failed orders and API disconnects.
Coinrule is built so you stay in control of assets and permissions. For centralized exchanges, connect via API keys with the scopes you choose. For on-chain automation, smart accounts and session keys can limit what a session can do.
Pick a template, set three conditions and define risk limits. Paper trade, review logs and go live when behavior matches your intent. Iterate quickly without rewriting code each time.
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