Turn crypto ideas into rules
Crypto Bot Trading should execute consistently, not creatively. Define entry triggers, exits, and position sizing, then let Coinrule run checks while logs keep the workflow reviewable.
Use Crypto Bot Trading to run your rules: entries, exits and risk caps with alerts and transparent logs across Binance, Coinbase and OKX.

390k+
traders using Coinrule
1.5M+
strategies executed
8+
exchanges supported
Crypto Bot Trading should execute consistently, not creatively. Define entry triggers, exits, and position sizing, then let Coinrule run checks while logs keep the workflow reviewable.
Use RSI, moving averages and volatility filters, then keep the rule set readable. When rules are explainable, you can improve one threshold at a time without guesswork.
Attach stop-loss and take-profit rules, cap position size, and limit daily trades. These guardrails reduce overtrading when markets move fast.
Alerts with context
Alerts include the trigger and action taken, not just price noise. Logs show fills and changes so weekly reviews are honest and fast.
Non-custodial automation
Coinrule is non-custodial: funds stay on your exchange and you control API permissions. Start in demo, then go live once behavior is consistent. For related pages, see /crypto-automation and /crypto-trading-bot.
Buy + Stop Loss And Take Profit
Attach stop-loss and take-profit rules immediately after each entry. Cancel if conditions change. A simple framework for disciplined automation.
Optimised RSI and MA Strategy
Buy when RSI is oversold while price stays above a long-term MA, then scale out on recovery. Add exposure caps. Keeps entries selective and reviewable.
Grid Trading In Range
Run range logic only while price stays inside support and resistance. Pause if trend filters flip. Useful for sideways crypto regimes.
Moving Average Scalper
Use short-term moving averages to capture quick swings, then take profit fast with a tight stop. Built for clear rules, not prediction.
Maximized RSI Strategy
Buy when RSI crosses up from oversold and confirm with a higher low. Take partial profits at preset levels. A clean entry template for crypto.
Buy + Stop Loss And Take Profit
Attach stop-loss and take-profit rules immediately after each entry. Cancel if conditions change. A simple framework for disciplined automation.
Optimised RSI and MA Strategy
Buy when RSI is oversold while price stays above a long-term MA, then scale out on recovery. Add exposure caps. Keeps entries selective and reviewable.
Grid Trading In Range
Run range logic only while price stays inside support and resistance. Pause if trend filters flip. Useful for sideways crypto regimes.
Moving Average Scalper
Use short-term moving averages to capture quick swings, then take profit fast with a tight stop. Built for clear rules, not prediction.
Maximized RSI Strategy
Buy when RSI crosses up from oversold and confirm with a higher low. Take partial profits at preset levels. A clean entry template for crypto.
EMA Cross Under Strategy
Reduce exposure when an EMA cross under signals weakness. Re-enter only when conditions recover. Helps avoid buying into momentum fades.
Ichimoku Cloud with RSI
Enter when price is above the cloud and RSI supports strength. Exit on cloud breakdown. Adds context so buys are not purely impulsive.
MACD Crossings
Enter after MACD confirms momentum, then exit when momentum fades. Add strict sizing and cooldowns. Keeps automation measurable.
Golden Cross Trading
Use a long-term MA cross as a trend filter, then exit on reverse cross or stop. A simple core algorithm to benchmark others against.
Low Volatility Buy And Sell
Reduce activity when volatility rises and spreads get noisy. Resume when conditions normalize. Helps prevent rushing trades during unstable sessions.
Review results weekly and change one variable. Routine iteration beats reactive edits after one trade.
Connect Binance, Coinbase, Kraken or OKX and keep one view of rules and exposure. A single dashboard reduces duplicated logic and missed edits.
If you cannot explain the rule set, it is too complex. Fewer signals make debugging easier and reduce fragile strategies.



During major news, volatility can break normal behavior. Pause automation and resume once conditions normalize.
Build BotFAQ

Decide how often rules should check: faster for active setups, slower for calmer investing. Keep cadence stable so results are comparable.

Keep conditions simple: one filter, one trigger, one exit plan. Too many signals can create fragility and constant tweaking.

If you cannot explain your maximum risk, add limits until you can. Constraints make automation easier to trust.
Pause automation during major news, then resume when volatility settles. You keep control without rewriting your strategy.
Review logs weekly and change one variable. Routine improvements beat reactive edits after one trade.
Start with one rule, then expand after review. Gradual scaling keeps execution understandable and manageable.
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