Build rule-based bots in minutes with Coinrule. Automate entries, exits and risk controls across Binance, OKX, Kraken, Bybit and more.
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Instead of watching charts all day, free trading automation on Coinrule turns your plan into rules that execute consistently. Set triggers like \"buy 2% when price drops 5% in 4 hours\" and \"sell 25% at +8%\" while keeping full control of your exchange account.
Traders use the builder to combine price moves, indicators and time filters without scripting. For example, enter when RSI falls below 30 on 1-hour candles, but only if the 200 MA is rising. Add confirmations like volume spikes or cooldown timers so the bot does not overtrade.
Link accounts via API keys and run strategies on venues like Binance, Kraken, OKX and Bitget from one dashboard. You can separate spot and perps setups, track performance per rule, and pause execution instantly. Funds stay on the exchange while the platform handles the logic.
Fast Starts, Safer Defaults
Risk controls are built in so you can cap position size, limit daily trades, and define stop loss and take profit from the start. A common setup is a 1.5% stop loss, a 3% trailing take profit after +6%, and a max 3 entries per day. Logs and alerts make it easy to audit every action.
Templates You Can Customize
Pick a template, then edit thresholds, timeframes and sizing to match your style. Clone a working bot to test a new parameter set, like changing RSI 30 to RSI 35, without touching the original. When you are ready, schedule rules to run only during your preferred sessions.
Grid Trading
Places layered buys and sells inside a defined range. Re-centers the grid when price breaks out. Works best on choppy pairs with clear support and resistance.
Buy the Dips
Buys in tranches when price drops by set percentages, like 3% and 6%. Adds a rebound take profit at a fixed target. Simple way to systematize pullback entries.
Stop Loss and Trailing Take Profit
Enters on your trigger, then sets a hard stop and a trailing exit. Example: stop at -2%, trail after +5% with a 1.2% distance. Designed to protect downside while letting winners run.
Optimised RSI and MA Strategy
Buys when RSI is oversold while price holds above a longer moving average. Sells when RSI normalizes or MA trend flips. Useful for filtering trades to higher-probability regimes.
Volatility Breakout
Triggers entries when price expands beyond a volatility threshold. Confirms with a close above the breakout level. Exits on a trailing stop or a time-based stop if momentum fades.
Grid Trading
Places layered buys and sells inside a defined range. Re-centers the grid when price breaks out. Works best on choppy pairs with clear support and resistance.
Buy the Dips
Buys in tranches when price drops by set percentages, like 3% and 6%. Adds a rebound take profit at a fixed target. Simple way to systematize pullback entries.
Stop Loss and Trailing Take Profit
Enters on your trigger, then sets a hard stop and a trailing exit. Example: stop at -2%, trail after +5% with a 1.2% distance. Designed to protect downside while letting winners run.
Optimised RSI and MA Strategy
Buys when RSI is oversold while price holds above a longer moving average. Sells when RSI normalizes or MA trend flips. Useful for filtering trades to higher-probability regimes.
Volatility Breakout
Triggers entries when price expands beyond a volatility threshold. Confirms with a close above the breakout level. Exits on a trailing stop or a time-based stop if momentum fades.
DCA Accumulator
Splits a budget into scheduled buys, such as $500 monthly into four $125 weekly orders. Adds optional dip buys when price falls 4% in a day. Built for steady accumulation with rules.
Supertrend Momentum
Enters when Supertrend flips bullish on 4-hour candles. Exits when the indicator turns bearish or a stop is hit. A clean trend-following template for directional markets.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI confirms weakness. Sells near the middle or upper band. Best for range-bound conditions with defined volatility.
Breakout + Retest
Buys after a breakout, then waits for a retest of the level to reduce false signals. Uses a tight invalidation stop under support. Targets prior highs or a fixed risk-reward.
MA Crossover with Volume Filter
Enters when a fast MA crosses above a slow MA, but only if volume is above its average. Exits on crossback or trailing stop. Helps avoid low-liquidity chop.
On Coinrule you can start with core automation features, test templates, and learn what rules fit your risk tolerance. Use paper-style iteration by running small sizes first, then scaling once results look stable. The goal is repeatable execution, not constant tinkering.
Rather than stacking ten indicators, define a few conditions you can explain. A solid example is: buy when price breaks yesterday high by 1%, only if funding is neutral, then exit at +4% or after 48 hours. Clear logic makes debugging and improvement much faster.
Every bot action is recorded with timestamps, triggers and order details. You can compare variants, like 15-minute versus 1-hour signals, and spot where slippage or spread impacted fills. Alerts help you react when a rule is skipped due to limits or insufficient balance.
Your assets remain in your own accounts while the system executes via permissions you control. Use restricted API keys, rotate them anytime, and disable trading instantly from the exchange side. This setup keeps custody and control where it belongs.
Launch BotFAQ
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Start by choosing one market and one timeframe, then define entries, exits and risk in writing. Add limits: max open positions, max daily trades, and a cooldown after a loss. Only then connect execution and go live with small size.
Try a simple rule set: buy ETH when RSI is below 32 on 4-hour candles, sell when RSI is above 55, and place a -2.5% stop. Or run a breakout: enter when price closes 1.2% above the 20-day high, then trail by 1.5%. Keep one variable per test so you learn faster.
Templates are best for getting a working baseline quickly. Custom rules shine when you have a specific edge, like avoiding weekends or filtering by volatility. Many traders start with a template, then add one constraint at a time.
Run the same logic across different venues to compare fills and liquidity. Keep naming consistent, like \"BTC Trend 4H\" across accounts, and review performance weekly. Centralized monitoring reduces mistakes when markets move fast.
Increase size only after a strategy survives different conditions, including drawdowns. Use step-ups, such as moving from 0.5% to 1% per trade after 30 executions. Consistency matters more than speed.
Create a bot, connect an exchange, and start with conservative rules you can explain. You can iterate quickly, keep custody, and let systematic execution do the heavy lifting. See templates and guides in /automated-trading.
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