Let trading automation convert your playbook into executable rules that fire on Binance, Hyperliquid and OKX whenever specific price time or indicator conditions align.
395k+
accounts relying on trading automation for execution
915k+
trades routed by automation logic
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Trading automation transforms your discretionary workflow into a documented system that the platform can execute without supervision. You combine filters on price volume indicators funding and time across venues like Binance, Hyperliquid and Bybit then let Coinrule run the routine exactly as written. Our automated trading resources and a transparent pricing table help you choose the right level of complexity.
Trading automation in Coinrule relies on modular building blocks for price triggers indicator checks time windows and portfolio constraints. You rearrange these components to express strategies ranging from simple stop loss rules to multi leg systems spanning Hyperliquid and spot exchanges.
Trading automation templates bundle together detection allocation and exits for different regimes such as low volatility drift or high volatility expansion. You can map each template to your preferred exchanges and assets instead of reinventing wiring every time.
Low risk trading automation
Trading automation parameters let you combine stop losses profit targets and time outs so positions can never remain unmanaged. When volatility spikes across Hyperliquid or spot markets rules can either tighten exits or stand aside entirely.
Systematic trading engine
The trading automation engine unifies your rules across markets so every order must satisfy the same risk and quality checks whether it ends up on spot perps or options. This is how you move toward systematic execution without building infrastructure from scratch.
Trend-following Scalping With Dynamic Protection
Trend-following with dynamic stop loss that tightens as profit grows. Protects gains while letting winners run. Combines moving averages for trend with ATR for volatility-adjusted stops.
MFI Oversold and Overbought
Money Flow Index measures volume-weighted momentum. Buys when MFI below 20 indicating selling exhaustion. Exits at MFI 80. Volume-based oscillator for institutional activity.
MACD Crossings
Enters when MACD crosses above signal line on daily charts. Momentum confirmation. Exits on opposite cross or 10% profit. Classic trend indicator for swing trades.
Maximized Scalping On Trend
Scalps 1-hour timeframe when price below MA9, MA50 and MA100. Buys oversold in downtrend expecting bounce. Quick exits at MA9 cross or profit target. High-frequency mean reversion.
Buy The Uptrend Flash Crash
In uptrends, 1-hour drops often reverse quickly. Buys RSI below 30 with MA9 above MA200. Exits when RSI back above 30. Catches intraday dips in bullish structure.
Trend-following Scalping With Dynamic Protection
Trend-following with dynamic stop loss that tightens as profit grows. Protects gains while letting winners run. Combines moving averages for trend with ATR for volatility-adjusted stops.
MFI Oversold and Overbought
Money Flow Index measures volume-weighted momentum. Buys when MFI below 20 indicating selling exhaustion. Exits at MFI 80. Volume-based oscillator for institutional activity.
MACD Crossings
Enters when MACD crosses above signal line on daily charts. Momentum confirmation. Exits on opposite cross or 10% profit. Classic trend indicator for swing trades.
Maximized Scalping On Trend
Scalps 1-hour timeframe when price below MA9, MA50 and MA100. Buys oversold in downtrend expecting bounce. Quick exits at MA9 cross or profit target. High-frequency mean reversion.
Buy The Uptrend Flash Crash
In uptrends, 1-hour drops often reverse quickly. Buys RSI below 30 with MA9 above MA200. Exits when RSI back above 30. Catches intraday dips in bullish structure.
Portfolio Swing Strategy In Downtrend
In downtrends, sells short-term rebounds and buys back lower. Scalps counter-trend moves. Requires margin or futures. Exits on stop loss or profit target. Bear market strategy.
Ichimoku Cloud with RSI
Merges Ichimoku Cloud and RSI. Buys when price above cloud and RSI increases 5%. Exits when price enters cloud or RSI overbought. Dual confirmation for trend trades.
Tri Stochastic Bull Strategy
Combines Stochastic RSI, MACD and RSI for momentum confluence. Buys when all three signal oversold/bullish. Exits when any turns overbought. Triple oscillator confirmation.
Volatility Spike Scalper
Buys when ATR jumps 30% in 15 minutes indicating volatility spike. Exits when ATR drops 30% or price gains 5%. Scalps volatility expansions. High-frequency opportunities.
Short Term RSI and SMA Percentage Change
Uses RSI above 50, MA9 > MA100, MA9 increasing 3%. Triple bullish confirmation. Buys momentum aligned with trend. Exits on any condition flipping. Trend continuation scalps.
Configuration galleries showcase how trading automation can combine higher timeframe context with lower timeframe triggers without overfitting.
Trading automation makes it easy to layer strategies that share the same risk framework but target different edges from breakout to carry.
Traders who adopt trading automation value how Coinrule standardizes their process across exchanges without forcing them into a single strategy style.
Traders running broad trading automation note that they can finally analyze their performance by strategy rather than by scattered tickets.
TradeFAQ
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Anya R.
Jamal H.
Linh T.
Ibrahim A.
Elena S.
The trading automation core emphasizes observability making it obvious which rule fired why and on which venue even when markets are chaotic.
Trading automation is built to sit on top of your existing infrastructure not replace it so you can change venues without rewriting every strategy.
Traders adopting full trading automation use the published pricing grid to align costs with the number of systems and accounts they plan to run.
List the manual steps in your trading day and decide which one to tackle with trading automation this month instead of trying to automate everything at once.
Treat trading automation as a living codebase introduce changes deliberately monitor their impact and roll back quickly when something does not work.
Trading automation ultimately gives you a toolkit to express different ideas in a consistent testable way from macro themes to micro structure.
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