Build a Trading Robot that follows your plan: automate entries, exits and risk across Binance, Bybit and OKX, with clear logs, alerts and safety limits.
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A Trading Robot is only useful if it runs your plan the same way every time. Coinrule turns conditions and actions into automation you can monitor, pause, and refine, while keeping execution transparent through logs and alerts.
Choose signals like RSI, moving averages, breakouts, and time windows, then define orders, sizing, and exits. The platform enforces the sequence so you are not improvising when markets move fast.
Attach stop-loss and take-profit rules, cap exposure, and limit how often the robot can trade. These guardrails keep execution disciplined during spikes, news, and overnight volatility.
Always-on monitoring
Get alerts when a condition triggers, an order fills, or exposure changes. You see what happened and why, so you can review calmly instead of reacting to every candle.
Transparent automation
Start in demo to validate behavior, then go live with the same rules. For related pages, see /trading-bot-algorithm and /automated-trading.
Optimised RSI and MA Strategy
Buy when RSI is oversold while price stays above a long-term MA. Scale out as RSI recovers and protect gains with a stop. See how the robot behaves in demo before going live.
Grid Trading
Run a grid on a liquid pair inside a defined range. Pause if trend filters break. Useful for systematic execution when price oscillates and you want repeatable fills.
Moving Average Scalper
Use short-term moving averages to capture quick swings on liquid pairs. Take profit quickly and enforce a tight stop. Built for speed and consistency, not prediction.
MACD Crossings
Enter when MACD crosses up after a pullback, then set take profit and a trailing stop. Exit when momentum fades. Keeps robot execution structured and measurable.
Bollinger Band Below Price with RSI
Buy near the lower band when RSI confirms oversold, then exit at the mid-band or a target. Add a stop to cap downside. A clean mean-reversion setup for range phases.
Optimised RSI and MA Strategy
Buy when RSI is oversold while price stays above a long-term MA. Scale out as RSI recovers and protect gains with a stop. See how the robot behaves in demo before going live.
Grid Trading
Run a grid on a liquid pair inside a defined range. Pause if trend filters break. Useful for systematic execution when price oscillates and you want repeatable fills.
Moving Average Scalper
Use short-term moving averages to capture quick swings on liquid pairs. Take profit quickly and enforce a tight stop. Built for speed and consistency, not prediction.
MACD Crossings
Enter when MACD crosses up after a pullback, then set take profit and a trailing stop. Exit when momentum fades. Keeps robot execution structured and measurable.
Bollinger Band Below Price with RSI
Buy near the lower band when RSI confirms oversold, then exit at the mid-band or a target. Add a stop to cap downside. A clean mean-reversion setup for range phases.
EMA Crossings with RSI
Enter on an EMA cross only when RSI confirms strength. Exit on crossback or trailing logic. Helps filter weak signals and reduce churn during chop.
Low Volatility Buy And Sell
Shift risk down when volatility rises and back up when conditions normalize. Use exposure caps to stay balanced. A risk-aware robot workflow for uncertain regimes.
Ichimoku Cloud with RSI
Enter when price is above the cloud and RSI supports momentum. Exit on cloud breakdown or target. Adds context so the robot follows the broader trend.
Buy + Stop Loss And Take Profit
Place an entry and attach stop-loss and take-profit immediately. Cancel if conditions no longer hold. Keeps execution protected and avoids unplanned exposure.
Market Leader Breakout
Breakout entry when price closes above a recent high with confirmation. Exit on a trailing stop or risk cap. Helps capture momentum while limiting downside.
A good robot removes drama: predefined entries, defined exits, and no improvising mid-trade. Use logs to review behavior weekly and change one variable at a time so improvements are measurable.
Connect Binance, Bybit, OKX, Kraken or KuCoin and keep one view of active rules. A single robot can manage different pairs while respecting portfolio limits and sizing rules.
Save a rule version before edits, then compare outcomes after changes. Versioning prevents endless tweaks and helps you learn what actually improved performance.
Set maximum position size, maximum daily trades, and exposure caps. When risk is explicit, automation becomes easier to trust and easier to scale.
Build StrategyFAQ
Hiroshi Y.
Phil K.
Diego R.
Gianni T.
Amara N.
Anna S.
Choose a cadence you can maintain: hourly checks for faster systems, or daily checks for calmer workflows. Consistency makes results comparable.
Use one filter, one trigger, and one exit plan. Too many indicators can create fragility and constant adjustment.
If multiple robots trade the same assets, cap total exposure and stagger triggers. Portfolio limits prevent hidden concentration.
Pause rules during major events, then resume with the same structure after volatility settles. That balance keeps control in your hands.
Review logs weekly, change one variable, and measure the impact. Routine improvements beat daily reactive edits.
Launch one strategy, set strict limits, and expand only after review. Gradual scaling keeps automation understandable and manageable.
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