Capture the automation wave with rule-based execution. Deploy bots, test ideas, and trade consistently across major crypto venues without coding.
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users building rules
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Instead of reacting to every headline, Automation Megatrend Trading becomes practical when you translate themes into clear triggers and risk limits. Coinrule lets you automate entries, exits and hedges across Binance, Kraken, Bybit and Hyperliquid while keeping control of your rules.
Traders often agree on the long-term story but struggle with timing. This platform turns your thesis into if-this-then-that logic, so decisions happen the same way every time. You can backtest ideas, run them on paper, then go live with the same settings. Alerts and logs show why each order fired, making iteration measurable.
When a theme is broad, one trade rarely captures it cleanly. Use multiple rules that each do one job: accumulation, trend participation and downside defense. For example, run a weekly DCA on BTC, a trend filter on ETH and a volatility hedge on perps. Keep modules separate so you can pause one without breaking the rest.
Theme To Rule Translation
Set a rule to buy 2% of balance if price drops 5% within 4 hours and RSI(1H) is below 35. Add a second rule that sells 25% if price rises 8% from entry, then trails the rest by 3%. For trend exposure, enter when MA50 crosses above MA200 on 4H candles and exit on the first cross back.
Guardrails First
Every strategy should include position sizing, max open trades and a kill switch. Coinrule supports stop loss, trailing take profit, cooldown timers and allocation caps so automation stays bounded when markets gap or liquidity thins.
Buy the Dips
Buys in steps after 3% and 6% pullbacks from a recent high. Uses a cooldown to avoid overtrading. Exits on a 5% rebound or when RSI normalizes.
Grid Trading
Places a grid of buys and sells inside a defined range. Profits from mean reversion while price chops. Pauses the grid if volatility exceeds an ATR threshold.
Supertrend Momentum
Enters long when Supertrend flips bullish on 4H candles. Adds a trailing stop that tightens after 10% unrealized profit. Exits on a bearish flip or stop hit.
DCA Accumulator
Splits a monthly budget into weekly buys at a fixed time. Skips a buy if price is 10% above the 30D average. Tracks average entry for disciplined accumulation.
Volatility Breakout
Buys when price closes above the prior day high and ATR expands. Confirms with volume above its 20-period average. Exits on a close back inside the breakout range.
Buy the Dips
Buys in steps after 3% and 6% pullbacks from a recent high. Uses a cooldown to avoid overtrading. Exits on a 5% rebound or when RSI normalizes.
Grid Trading
Places a grid of buys and sells inside a defined range. Profits from mean reversion while price chops. Pauses the grid if volatility exceeds an ATR threshold.
Supertrend Momentum
Enters long when Supertrend flips bullish on 4H candles. Adds a trailing stop that tightens after 10% unrealized profit. Exits on a bearish flip or stop hit.
DCA Accumulator
Splits a monthly budget into weekly buys at a fixed time. Skips a buy if price is 10% above the 30D average. Tracks average entry for disciplined accumulation.
Volatility Breakout
Buys when price closes above the prior day high and ATR expands. Confirms with volume above its 20-period average. Exits on a close back inside the breakout range.
Stop Loss and Trailing Take Profit
Sets an initial stop at 2.5% and a take profit at 6%. After take profit triggers, trails the remainder by 2%. Designed to cut losers fast and let winners run.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above its 20-period average. Avoids low-liquidity fakeouts. Exits when MA20 crosses back below MA50.
Bollinger Band Mean Reversion
Buys when price tags the lower band and RSI is below 35 on 1H. Sells at the mid-band, then optionally at the upper band. Uses a time stop if mean reversion stalls.
Risk-On/Risk-Off Macro Switch
Allocates to higher beta tokens when trend is positive and volatility is calm. Rotates to stable exposure when drawdown exceeds a set threshold. Rechecks signals on a daily schedule.
Portfolio Rebalance
Rebalances to target weights weekly or when any asset drifts 5% from target. Reduces concentration risk during strong runs. Works well for multi-asset theme baskets.
Unlike discretionary trading, systematic execution scales with attention, not time. You can express a long-term view while managing short-term noise through filters and risk rules. Coinrule is built for this workflow: draft, test, deploy and review. Use it to keep exposure when conditions are favorable and step aside when they are not.
On this platform, one rule can monitor multiple markets and route orders where you trade. Connect accounts on Coinbase, KuCoin, OKX and Bitget, then manage strategies from one dashboard. You can run spot accumulation while using perps for hedges, with separate sizing rules for each venue. This keeps hedges from turning into new risk.
Risk controls include max allocation per asset, max daily loss and trade frequency limits. For example, you might cap any single token at 12% of portfolio, stop new entries after a 4% daily drawdown and enforce a 2-hour cooldown after a stop loss. Add volatility filters so rules pause when ATR doubles versus its 14-day average. Review logs weekly to see which rules add value and which need tuning.
Templates give you a starting point, but you can customize every condition. Swap indicators, change timeframes or add confirmation like volume or trend direction. Clone a rule, adjust one variable and compare results side by side. See /automated-trading for more building blocks.
Explore BotsFAQ
Sofia G.
Michael R.
Lars H.
Priya K.
Diego R.
Yuki T.
Start by defining the theme in one sentence, then map it to measurable signals. Pick one trend trigger, one entry style and one exit rule. Add risk limits before you optimize anything else. Run the first version small for two weeks, then adjust one parameter at a time.
Many strategies fail when the market regime changes. Add a filter like ADX above 20 for trend systems, or a volatility ceiling for mean reversion. You can also require higher timeframe confirmation, such as 1D trend aligned with 4H entries.
Schedule a weekly snapshot of open positions, realized PnL and rule triggers. Compare which conditions fired most often and which exits did the heavy lifting. If a rule trades too frequently, tighten the trigger or add a cooldown. If it rarely trades, loosen one constraint.
For decentralized execution, smart accounts can run strategies with limited permissions. Session keys help restrict what a strategy can do, and routing can seek better liquidity across pools. Keep slippage limits explicit and avoid thin pairs.
Complexity can hide risk. Prove a simple rule set first, then scale by adding assets or increasing frequency. Use separate bots for separate jobs and cap total exposure across them.
Create a small library of strategies that match your time horizon: accumulation, trend and defense. Connect your exchanges, set limits and let the engine execute while you focus on research. When conditions change, clone and adjust instead of improvising. See /templates to browse starting points.
Create Strategy
