Build rule-based automation with commodities-style discipline: trend, mean reversion and risk limits. Deploy on Binance, OKX, Coinbase and more in minutes.
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users building rules
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Instead of managing entries with alerts and spreadsheets, Automated commodities trading becomes a set of if-then rules you can run consistently in Coinrule. Define triggers, sizing and exits, then let the engine execute on Binance, Coinbase, OKX or Bybit while you monitor performance.
Traders often borrow commodity-style playbooks like breakout confirmation, pullback entries and strict risk per trade. Coinrule turns those ideas into reusable blocks: indicators, time windows and order actions. You can express rules like buy when price breaks a 20-day high and volume rises, then place a protective stop at 2.5% and trail profit by 1.2%. The interface keeps logic readable so you can audit what the bot will do before it goes live.
Every strategy needs guardrails that survive choppy sessions. Set max daily loss, exposure caps per asset and cooldown timers after a stop-out. Add filters such as only trade when ATR is above a threshold, or when a trend indicator agrees across 4H and 1D charts. Logs and notifications help you review fills and rule decisions without guessing.
Commodity-Style Risk Controls
Risk controls can be explicit: allocate 3% per entry, cap total exposure at 20%, and pause if drawdown hits 6% in 24 hours. You can also ladder entries, for example buy 1% now, add 1% if price drops 2%, and stop adding after three fills. These constraints keep automation aligned with a disciplined process.
Multi-Venue Execution
Connect to centralized venues via API keys and keep custody on the exchange, or run on-chain with smart accounts for self-custody. Coinrule is designed to keep execution consistent across venues while you manage rules, alerts and risk in one place.
Volatility Breakout
Enters when price breaks a recent high and ATR expands on 4H candles. Exits on a close back inside the range or a 2% trailing stop. Built for fast moves.
Donchian Channel Turtle
Buys on a 20-period Donchian breakout and adds on strength. Sells on a 10-period channel breakdown. Uses fixed risk per trade to avoid oversized positions.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35 on 1H. Takes profit at the middle band and cuts risk with a 1.8% stop. Built for ranges.
MA Crossover with Volume Filter
Enters when a fast MA crosses above a slow MA and volume is above its 20-period average. Exits on crossback or a 4% target with a trailing take profit. Simple trend capture.
ATR Channel Breakout
Trades a break above an ATR channel with a volatility filter to avoid dead markets. Sets stop loss at 1.5x ATR and trails after 3% profit. Works well on 4H.
Volatility Breakout
Enters when price breaks a recent high and ATR expands on 4H candles. Exits on a close back inside the range or a 2% trailing stop. Built for fast moves.
Donchian Channel Turtle
Buys on a 20-period Donchian breakout and adds on strength. Sells on a 10-period channel breakdown. Uses fixed risk per trade to avoid oversized positions.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35 on 1H. Takes profit at the middle band and cuts risk with a 1.8% stop. Built for ranges.
MA Crossover with Volume Filter
Enters when a fast MA crosses above a slow MA and volume is above its 20-period average. Exits on crossback or a 4% target with a trailing take profit. Simple trend capture.
ATR Channel Breakout
Trades a break above an ATR channel with a volatility filter to avoid dead markets. Sets stop loss at 1.5x ATR and trails after 3% profit. Works well on 4H.
Grid Trading
Places a symmetric grid inside a defined range and re-centers if price drifts too far. Uses smaller orders and a max inventory cap to reduce runaway exposure. Designed for sideways action.
Supertrend Momentum
Buys when Supertrend flips bullish on 2H and price is above MA200. Sells when Supertrend flips bearish or when a 2.2% stop triggers. A clean momentum rule set.
Mean Reversion with Z-Score
Enters when Z-score drops below -2 on 1H and exits near 0. Adds a time stop after 12 hours to avoid slow drifts. Pairs well with strict limits.
Support and Resistance Bounce
Buys near a defined support zone after a rejection candle and RSI recovers above 40. Takes profit at the next resistance and moves stop to breakeven after a 1.5% gain.
Stop Loss and Trailing Take Profit
Wraps any entry signal with standardized risk: 2% stop loss and a 1% trailing take profit after 3% profit. Helps keep execution consistent across assets. Ideal as a base template.
Once you pick a template, adjust three things: timeframe, risk per trade and exit logic. A concrete starting point is: on 4H candles, buy when RSI crosses above 30 after being below 30, size at 2% of balance, stop at 2%, and take profit at 4% with a 1% trail. You can then add a trend filter like MA200 to avoid fighting strong moves. This is how the workflow becomes repeatable instead of reactive.
When volatility collapses, breakout systems often churn. Add a rule that only trades if ATR is up 15% versus its 14-period average, or if ADX is above 20. For mean reversion, require price to stay inside a 30-day range and volume to be below its 20-period average. These filters reduce low-quality signals without making the strategy fragile.
Route the same logic to multiple venues so you are not tied to one order book. Many users run spot rules on Coinbase and Kraken, then deploy a separate hedging rule on OKX or Hyperliquid perps where supported. Keep each bot scoped with its own allocation and max open positions. If you want a deeper overview of automation concepts, see /automated-trading.
Your funds stay where you trade. For centralized exchanges, Coinrule connects through API keys with permissions you control. For on-chain execution, smart accounts and session keys can limit what the automation is allowed to do. This setup keeps the workflow practical while reducing operational risk.
Launch BotFAQ
Lars H.
Priya K.
James W.
Mei L.
Diego R.
Sarah K.
Commodity traders think in cycles, volatility and risk units. You can bring that mindset to digital assets by defining what counts as a trend, what counts as a range and how much you are willing to lose per idea. Coinrule helps you encode those definitions so they run the same way at 2 pm or 2 am. The result is a workflow you can review and improve.
Rather than relying on a single strategy, split capital across complementary systems. For example, allocate 60% to a 1D trend follower, 25% to a 4H breakout and 15% to a 1H mean reversion bot with tight stops. Add a portfolio rule that pauses new entries if total drawdown exceeds 8%. Diversifying logic can smooth outcomes when regimes rotate.
Use separate API keys per exchange and keep permissions minimal. Turn off withdrawals, set IP restrictions where available and rotate keys periodically. Inside the platform, keep an emergency stop rule and alerts for unusual activity. Operational hygiene matters as much as strategy logic.
If you prefer self-custody, run strategies through smart accounts and route trades across liquidity using Li.fi. Session keys can limit token approvals, spending and time windows. This makes on-chain execution feel closer to a controlled trading mandate. You still get the same rule builder experience.
Start with paper trading for a week, then go live with small size and strict caps. Change one parameter at a time and keep a simple changelog. If a bot underperforms, pause it and review whether the regime changed or the assumptions were wrong. Iteration beats constant reinvention.
Create a strategy, connect your venue and let the engine handle execution while you focus on research and risk. Coinrule is built for systematic traders who want clarity, control and repeatability. Start small, measure everything and scale what works.
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