Build an autonomous trading setup in Coinrule. Automate entries, exits, DCA and hedges across major exchanges with clear logs and controls.
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Instead of reacting to every candle, Coinrule turns your plan into an Autonomous trading system that runs 24-7 with consistent logic. Connect to Binance, Kraken, Bybit, Coinbase or OKX via API keys and keep custody on the venue. Set precise triggers like buy 2% when price drops 5% in 4 hours, then place a 3% stop loss and a 6% take profit. You get clear rule logs, alerts and a single dashboard to manage multiple strategies.
Traders use the visual builder to combine price moves, indicators and time filters into repeatable automation. Add conditions like RSI below 30 on 1-hour candles and a trend filter such as MA200 rising. Then define actions: market or limit orders, partial exits, or a trailing stop. The interface keeps the logic readable so you can iterate safely.
Every strategy needs guardrails, especially in fast markets. Use allocation caps per coin, max open positions, and cooldown timers to avoid overtrading. Add a circuit breaker that pauses rules after a 4% daily drawdown or after three consecutive stop outs. Real-time notifications help you intervene without babysitting charts.
Rule Templates And Quick Starts
Templates cover trend, mean reversion, grid and DCA styles so you can launch quickly. Clone one, change the timeframe, and adjust thresholds to match your risk. For example, run a grid with 0.6% spacing in a range, or a DCA plan that buys $125 weekly into BTC. Logs help you validate behavior before scaling.
Non-Custodial By Design
Coinrule does not take custody of funds. On centralized exchanges it uses API permissions you control, and on-chain it can execute via smart accounts with limited session keys for safer automation.
Grid Trading
Places a buy and sell grid around a chosen range with fixed spacing. Rebalances as orders fill. Works best in sideways markets with clear boundaries.
Buy the Dips
Buys when price drops a set percent, such as 3% to 7% from a recent high. Adds a take profit target and a protective stop. Designed to avoid chasing pumps.
Volatility Breakout
Enters when price breaks above a volatility band and volume confirms. Uses an ATR-based stop and a trailing take profit. Useful after consolidation.
MA Crossover with Volume Filter
Buys when a fast MA crosses above a slow MA and volume is above its average. Sells on the cross back or on a time stop. Aims to reduce false signals in chop.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is weak. Exits near the middle band or on a fixed profit target. Best for range-bound conditions.
Grid Trading
Places a buy and sell grid around a chosen range with fixed spacing. Rebalances as orders fill. Works best in sideways markets with clear boundaries.
Buy the Dips
Buys when price drops a set percent, such as 3% to 7% from a recent high. Adds a take profit target and a protective stop. Designed to avoid chasing pumps.
Volatility Breakout
Enters when price breaks above a volatility band and volume confirms. Uses an ATR-based stop and a trailing take profit. Useful after consolidation.
MA Crossover with Volume Filter
Buys when a fast MA crosses above a slow MA and volume is above its average. Sells on the cross back or on a time stop. Aims to reduce false signals in chop.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is weak. Exits near the middle band or on a fixed profit target. Best for range-bound conditions.
Stop Loss and Trailing Take Profit
Sets a hard stop, then trails profit once price moves in your favor. Example: stop at 2.5%, trail at 1.2% after +4%. Helps lock gains without constant monitoring.
DCA Accumulator
Splits buys into scheduled chunks, such as $500 per month as four weekly orders. Can add a dip filter like buy only if price is below MA50. Built for steady accumulation.
Supertrend Momentum
Enters when Supertrend flips bullish on 4-hour candles. Exits when it flips bearish or when a trailing stop triggers. Targets sustained directional moves.
RSI Divergence Hunter
Looks for bullish divergence with RSI making higher lows while price makes lower lows. Confirms with a breakout level before entry. Exits on RSI recovery or resistance.
Portfolio Rebalance
Rebalances back to target weights on a schedule, such as weekly or month-end. Can set drift bands like 3% before trading. Keeps risk aligned as markets move.
On this platform you can run the same logic across multiple venues without duplicating work. Route spot automation to Coinbase and Kraken, then keep a separate perps rule set on Hyperliquid for hedging. Use consistent naming, tags and alerts so you always know which strategy fired. When you pause a rule, it stops placing new orders while leaving existing positions visible.
Rather than optimizing for one perfect entry, focus on repeatable processes. Define your universe, position sizing and exit rules first, then add signals. A simple example is risk 1% per trade, stop at 2%, and take partial profit at 3% while trailing the rest. Coinrule makes these steps explicit so your automation stays understandable months later.
When you prefer decentralized execution, you can run strategies on Base, Arbitrum or Binance Smart Chain using smart accounts. Orders route through Li.fi to find liquidity across pools, while session keys can restrict what the automation is allowed to do. This setup is useful for rotating between tokens or rebalancing on-chain portfolios without manual swaps. You keep self-custody throughout.
Templates are only the start, so visibility matters. Get alerts when a rule triggers, when a stop is hit, or when allocation reaches a cap. Review an audit trail of conditions, timestamps and actions to diagnose behavior. If something looks off, clone the rule and adjust one variable at a time.
Launch NowFAQ
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Start by choosing one market and one timeframe, then define entries, exits and sizing. Add a max exposure rule, like never allocate more than 20% to a single coin. Include a fail-safe such as pause after a 4% daily drawdown. Once it behaves well, scale slowly by adding pairs or increasing size.
Try a trend rule: buy when MA50 crosses above MA200 on 4-hour candles, sell on the cross back, and trail 1% after +5%. Or a dip rule: buy 1.5% of balance if price drops 6% in 12 hours and RSI is below 35, then take profit at 4%. For ranges, place a grid with 0.5% steps and stop if price breaks the band by 2%.
Users often overfit thresholds and change rules too frequently. Keep variables stable for a meaningful sample size, then adjust one parameter at a time. Avoid stacking too many correlated strategies on the same asset. Always define what happens in a fast drop, including stops and cooldowns.
For deeper guidance, see /automated-trading for platform fundamentals and /templates for strategy ideas. Document assumptions in the strategy name and notes so reviews are faster and changes are deliberate. Clear documentation is part of good systematic trading.
New users can start with templates and conservative sizing. Advanced traders can combine multiple conditions, schedule windows, and portfolio-level constraints. Run separate rule sets for spot and perps, then monitor them together. The workflow stays transparent as complexity grows.
Create one rule, run it small, and let the data guide improvements. With consistent execution, clear controls and non-custodial connections, you can spend less time clicking and more time refining your process.
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