Stop running the wrong strategy at the wrong time. Use regime filters to switch between trend, range and high-volatility playbooks with Coinrule automation.
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Instead of guessing, Market regime detection turns raw price action into clear states you can trade. Define trend, chop or volatility, then route your bot to the right playbook across Binance, Kraken, Bybit or OKX.
Traders often combine trend strength, volatility and structure to label conditions. Use ADX, moving average slope, ATR expansion, Bollinger Band width or a higher-highs rule. Example: if 20-day ATR is 30% above its 60-day average, cut size and widen stops.
Once states are defined, the platform can toggle groups of rules on and off. Clone a core strategy, then adjust only filters and risk settings per condition. Use cooldowns and max-trade limits to reduce churn during transitions.
Regime Filters
Start with three buckets: trending, ranging and high-volatility. Define trending as price above MA200 and ADX above 25, ranging as ADX below 18, and high-volatility as ATR up 30% week over week. Map each bucket to a template: trend-follow, mean-reversion or defensive risk-off.
Execution Guardrails
Add guardrails so switches do not whipsaw: require two candle closes before changing state, set a 6-hour minimum hold time, and cap daily trades per pair. These small rules often improve stability more than adding indicators.
ADX Trend Strength Filter
Trade only when ADX is above 25 on 4H candles. Enter on pullbacks to a moving average. Exit when ADX rolls below 20 or a stop triggers.
Choppy Market Avoider
Pause entries when Bollinger Band width stays below a threshold for 24 hours. Resume when bands expand and volume rises. Built to reduce whipsaws.
Volatility Regime Switcher
Classify low vs high volatility using ATR and recent range. In high volatility, cut size and widen stops. In low volatility, use tighter targets on 1H-4H.
Supertrend Momentum
Buy when Supertrend flips bullish on 2H candles and price holds above it. Sell on a bearish flip or trailing stop. Simple trend capture.
Bollinger Band Mean Reversion
Buy when price closes below the lower band and RSI is under 35. Take profit at the mid-band. Exit on a fixed stop if price keeps falling.
ADX Trend Strength Filter
Trade only when ADX is above 25 on 4H candles. Enter on pullbacks to a moving average. Exit when ADX rolls below 20 or a stop triggers.
Choppy Market Avoider
Pause entries when Bollinger Band width stays below a threshold for 24 hours. Resume when bands expand and volume rises. Built to reduce whipsaws.
Volatility Regime Switcher
Classify low vs high volatility using ATR and recent range. In high volatility, cut size and widen stops. In low volatility, use tighter targets on 1H-4H.
Supertrend Momentum
Buy when Supertrend flips bullish on 2H candles and price holds above it. Sell on a bearish flip or trailing stop. Simple trend capture.
Bollinger Band Mean Reversion
Buy when price closes below the lower band and RSI is under 35. Take profit at the mid-band. Exit on a fixed stop if price keeps falling.
Squeeze Release (BB + Keltner)
Detect a squeeze when Bollinger Bands sit inside Keltner Channels. Enter on the first breakout close with a volume filter. Exit on opposite close or time stop.
MA Crossover with Volume Filter
Enter when a fast MA crosses above a slow MA and volume is above its 20-period average. Exit on crossback or trailing take profit. Filters weak signals.
Range Bound Reversal
Buy near support when price is within 0.5% of a range low and RSI is below 40. Sell near the range high. Stop out on a clean break below support.
Volatility Breakout
Enter when price breaks the prior day high while ATR is rising. Place a stop at 1.5x ATR. Scale out at 1R and 2R to manage expansion moves.
Stop Loss and Trailing Take Profit
Add risk controls to any bot with a fixed stop loss and trailing take profit. Start the trail after price moves 3% in your favor. Tighten the trail as profit grows.
When conditions flip, you want actions to flip too. The platform can pause a breakout bot, activate a grid, or reduce exposure automatically based on your state rules. Example: if ADX drops below 18 and price crosses under MA50, stop trend entries and enable mean reversion with 0.8% take profits.
Execute the same rules across Binance, Coinbase, Kraken, Bybit and Bitget while keeping one view of risk. Set per-venue allocation caps, per-pair exposure limits and a global drawdown guard. If spreads look abnormal on one venue, disable it without changing the rest.
Regime logic only helps if execution stays consistent. Keep rules simple enough to audit, then change one variable at a time. Start with one pair and one timeframe, such as BTC on 4H, before expanding to a basket. Review logs weekly to see how often states changed and whether switches reduced bad entries.
Many traders overfit by stacking indicators that measure the same thing. Another mistake is switching states on a single candle, which creates churn. Use confirmation closes, cooldowns and position limits to reduce noise.
Explore ToolsFAQ
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Start by writing what you mean by trend, range and stress. Translate each into two or three measurable conditions. Keep thresholds stable long enough to evaluate, then iterate.
Switching logic is where many systems fail. Require two closes, add a minimum time in state, and avoid flipping while positions are open unless risk rules demand it. A simple safeguard is to change state only if no new orders fired in the last 60 minutes.
Some tokens trend cleanly while others mean-revert and whipsaw. Use the same framework but tune thresholds by asset group, such as majors vs small caps. Disable automation on pairs with persistent low liquidity or wide spreads.
Set notifications for state changes, drawdown limits and unusual volatility so you can review context without staring at charts. Alerts help when liquidity differs across venues. You stay informed while rules execute.
Begin with a template, then add one filter at a time. Save versions so you can roll back quickly if results degrade. Over time you build a library of strategies mapped to conditions.
Connect an exchange, pick a template and add a simple state filter first. Expand to multiple playbooks once you trust transitions and risk limits. Everything stays rule-based, auditable and easy to adjust as markets evolve.
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