Turn volatility into a repeatable process with rule-based automation. Build entries, exits and hedges across Binance, Bybit, OKX and Hyperliquid.
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users building rules
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strategies executed
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Exchanges Supported
Instead of reacting to every spike, an Energy trading bot on Coinrule executes your plan with consistent triggers and risk limits. Set entries like buy 1 percent when price drops 4 percent in 2 hours, then place a 2.5 percent stop loss and a 6 percent take profit. Run the same logic across Binance, Kraken, Bybit or OKX from one dashboard.
Traders often mix momentum and mean reversion, and the rule builder supports both. Combine indicators like RSI, moving averages and Supertrend with time filters and position sizing. Add safeguards such as max daily trades, cooldown timers and allocation caps per asset.
For faster hedging, connect perpetual venues like Hyperliquid alongside centralized exchanges. You can also automate on-chain execution using smart accounts on Base, Arbitrum and Binance Smart Chain, with routing that seeks best liquidity. Keep a single view of performance, open positions and rule history.
Risk-First Automation
Risk controls are built into every rule so you can define what must never happen. For example, stop trading for 12 hours after 3 consecutive losses, or reduce order size from 2 percent to 1 percent if drawdown exceeds 8 percent. Logs and alerts make it easy to audit decisions and adjust parameters.
Execution You Can Trust
Coinrule connects via API keys on exchanges, so funds stay on your venue while the engine sends orders based on your conditions. For on-chain strategies, session keys can limit permissions and time windows. That separation helps you automate without giving up custody.
Volatility Breakout
Buys on a 4-hour close above the prior 20-candle high with rising volume. Sets a 3 percent stop loss and trails after 5 percent profit. Built for expansion phases.
Grid Trading
Places a ladder of buys and sells inside a defined range. Uses fixed spacing or ATR-based spacing to adapt to volatility. Best when price oscillates without trend.
Stop Loss and Trailing Take Profit
Enters on your trigger, then sets a hard stop and a trailing exit. Example: stop at 2.8 percent, trail by 1.2 percent after a 4 percent gain. Helps protect upside.
Supertrend Momentum
Goes long when Supertrend flips bullish on 1-hour candles and price is above MA200. Exits on the first bearish flip or a time stop after 48 hours. Designed for trends.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells at the mid-band or when RSI exceeds 55. Targets snap-back moves in chop.
Volatility Breakout
Buys on a 4-hour close above the prior 20-candle high with rising volume. Sets a 3 percent stop loss and trails after 5 percent profit. Built for expansion phases.
Grid Trading
Places a ladder of buys and sells inside a defined range. Uses fixed spacing or ATR-based spacing to adapt to volatility. Best when price oscillates without trend.
Stop Loss and Trailing Take Profit
Enters on your trigger, then sets a hard stop and a trailing exit. Example: stop at 2.8 percent, trail by 1.2 percent after a 4 percent gain. Helps protect upside.
Supertrend Momentum
Goes long when Supertrend flips bullish on 1-hour candles and price is above MA200. Exits on the first bearish flip or a time stop after 48 hours. Designed for trends.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells at the mid-band or when RSI exceeds 55. Targets snap-back moves in chop.
DCA Accumulator
Splits a fixed budget into timed buys, such as 100 USDT every 6 hours. Pauses DCA if price is 8 percent above MA50. Smooths entries and avoids overheated rallies.
ADX Trend Strength Filter
Trades only when ADX is above 25 to avoid low-energy chop. Enters on an MA crossover and exits when ADX falls below 18. Keeps the system selective.
Donchian Channel Turtle
Buys on a breakout above the 20-day Donchian high and sells on a break below the 10-day low. Adds position sizing caps per trade. A classic trend ruleset.
Mean Reversion with Z-Score
Calculates a Z-score on returns and buys when it drops below -2.0. Exits near 0.0 or at +1.0 if momentum flips. Useful for systematic pullbacks.
Funding Rate Hedge
When funding turns strongly positive, opens a small hedge on perps while keeping spot exposure. Closes the hedge when funding normalizes and price stabilizes. Aims to reduce carry risk.
Unlike one-off alerts, automation turns your best setups into a library you can reuse and iterate. Clone a rule, change one variable, and compare results over the same market window. This is how you move from intuition to process without losing flexibility.
When volatility spikes, clear conditions prevent impulsive entries. Try rules like buy when RSI crosses below 30 on 1-hour candles, then sell when RSI crosses above 55. Or enter only if price is above MA200 and breaks the previous day high by 1.5 percent. Small, testable rules compound into a robust system.
Every bot needs an exit plan before the entry fires. Add a portfolio stop that closes positions if total equity drops 10 percent, or a per-asset stop that triggers at 3 percent. You can also schedule a nightly risk reset that cancels open orders and rechecks exposure. These controls help you stay in the game during sudden reversals.
Connect Binance, Coinbase, KuCoin, OKX or Hyperliquid and run the same logic where liquidity is best. Use separate allocations per venue so one exchange never dominates your risk. Alerts keep you informed without watching charts all day.
Launch BotFAQ
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High momentum and low momentum need different playbooks. Use regime filters like ADX or moving average slope to decide when to trade and when to stand down. That switch can reduce churn during sideways periods.
Start with fixed sizing, then move to conditional sizing once you trust the logic. For example, risk 0.75 percent per trade normally, but cut to 0.4 percent after a 6 percent drawdown. This keeps the system resilient across streaks.
Notifications are useful, but automated responses are better. Set rules that cancel orders if spread widens, or pause trading when volatility exceeds a threshold like 7 percent daily range. You stay informed while the engine handles routine decisions.
Every order should have a reason you can review later. Use naming conventions for strategies, track parameter changes, and compare performance by timeframe. That discipline makes optimization straightforward.
Begin with a proven template, then change one variable at a time. Adjust RSI levels, widen stops, or add a time stop like exit after 36 hours if price stagnates. Iteration beats constant reinvention.
Build a rule set, test it in paper trading, and go live when behavior matches your expectations. Connect preferred venues, set risk caps, and let the system execute with discipline. You stay in control, just faster.
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