Build rule-based bots that fade extremes and target rebounds. Deploy on Binance, OKX, Bybit and Hyperliquid with clear entries, exits and risk limits.
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Instead of chasing breakouts, many traders prefer Mean reversion strategies to exploit stretched moves back toward a typical price. Coinrule lets you encode that logic with RSI, Bollinger Bands, z-scores and time filters, then execute it 24-7 on Binance, Kraken or Bybit. For example, buy when RSI(14) drops below 30 on 1H candles, then take profit at +2.5% or when RSI rises above 55. Add a hard stop at -1.8% to cap downside when the market keeps trending.
Reversion setups work best when you define the range first, then trade the edges. On Coinrule you can require price to be within 1% of the lower Bollinger Band and below the 20-period moving average before entering. You can also add a time stop, such as exiting after 12 hours if the bounce does not arrive, to avoid dead money trades.
Run the same logic across multiple venues without duplicating work. Connect Coinbase, OKX, Bitget or Hyperliquid and keep position sizing consistent with percent-of-balance orders. Logs and alerts show every trigger, fill and exit so you can iterate like a system designer, not a click trader.
Range Trading Templates
Templates cover classic range fades, band touches and oscillator rebounds. Clone one, change the timeframe, and adjust thresholds like RSI 28 vs 32 to match volatility. You can paper test the logic, then go live when the behavior matches your expectations.
Risk Controls Included
Every rule can include max open positions, cooldown timers and portfolio exposure caps. If a coin drops 5% in 4 hours, you might pause new entries for 6 hours to avoid catching a falling knife. These guardrails keep the automation disciplined when conditions shift.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band on 1H. Sells at the mid-band or +2%. Adds a stop at -1.5% to limit trend risk.
Mean Reversion with Z-Score
Enters when z-score falls below -2 on 4H data. Exits when it reverts to 0 or after a 16-hour time stop. Useful for systematic fades of extremes.
RSI Oversold Rebound
Buys when RSI(14) < 30 and price is above a higher-timeframe MA filter. Takes profit when RSI > 55 or at +3%. Includes a -2% stop loss.
VWAP Reversion Scalper
Fades spikes above VWAP by 0.8% on 15m candles. Exits when price returns to VWAP. Adds a tight stop if deviation expands to 1.4%.
Grid Trading
Places a grid of buys and sells inside a defined range. Captures repeated oscillations with small take profits. Best when volatility is steady and trend is muted.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band on 1H. Sells at the mid-band or +2%. Adds a stop at -1.5% to limit trend risk.
Mean Reversion with Z-Score
Enters when z-score falls below -2 on 4H data. Exits when it reverts to 0 or after a 16-hour time stop. Useful for systematic fades of extremes.
RSI Oversold Rebound
Buys when RSI(14) < 30 and price is above a higher-timeframe MA filter. Takes profit when RSI > 55 or at +3%. Includes a -2% stop loss.
VWAP Reversion Scalper
Fades spikes above VWAP by 0.8% on 15m candles. Exits when price returns to VWAP. Adds a tight stop if deviation expands to 1.4%.
Grid Trading
Places a grid of buys and sells inside a defined range. Captures repeated oscillations with small take profits. Best when volatility is steady and trend is muted.
Range Bound Reversal
Buys near support after two red candles and a wick rejection. Sells near resistance or at +2%. Uses a range break stop to avoid trend continuation losses.
Support and Resistance Bounce
Enters when price touches a mapped support zone and volume stabilizes. Exits at the next resistance level. Adds a cooldown so it does not overtrade chop.
CCI Mean Reversion
Buys when CCI drops below -100 on 1H and price is not making new lows. Sells when CCI returns above 0. Adds a time stop to reduce stagnation.
Stochastic Oversold Bounce
Buys when Stoch %K crosses above %D below 20 on 30m. Sells when Stoch rises above 70 or at +1.8%. Includes a -1.2% protective stop.
Mean Reversion with Time Stop
Fades an extreme move, then forces an exit if it does not revert quickly. Example: close after 10 candles regardless of PnL. Helps avoid slow drifts against you.
Traders choose mean reversion approaches when markets oscillate and liquidity is deep. On Coinrule, start by defining the regime: require ADX below 20 or price inside a 20-day channel to avoid fighting strong trends. Then set a trigger like a 2 standard deviation move, an RSI threshold, or a band touch. Finally, plan exits with both profit targets and time stops so the trade has a clear invalidation.
Rather than all-in entries, use small, repeatable sizing. A common rule is 1% of balance per entry with a maximum of 3 open positions per coin. If you want to scale in, add a second buy only if price drops another 1.5% and funding stays neutral. This keeps losses bounded while still letting the system work through noise.
Risk controls matter more for reversion than for trend following. Add a stop loss, but also add a cooldown so the bot does not re-enter immediately after a stop. You can pause all rules if portfolio drawdown hits 6% in a day, then resume the next session. These features reduce the classic failure mode: repeatedly fading a real trend.
Unlike rigid scripts, Coinrule encourages quick iteration with simple knobs. Change one variable at a time, such as RSI 30 to 28, and compare outcomes over the same period. Keep rules robust across BTC, ETH and higher beta alts rather than tuned to one chart. When in doubt, simplify the logic and tighten risk.
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Avoid fading every dip in a strong downtrend. Add a trend filter, limit the number of entries, and respect stops. Do not widen risk just to avoid being stopped out. If the market changes, pause and reassess the rule set.
Use limit orders for better fills in calm markets, or market orders when speed matters. You can set slippage buffers, minimum order sizes and per-asset allocation caps. Real-time alerts help you spot partial fills or unusual volatility. This keeps the automation practical, not theoretical.
Once a single rule behaves well, duplicate it across a basket and stagger timeframes. Keep correlation in mind so you do not stack the same risk across similar coins. A simple approach is to cap total exposure to 20% and allocate 5% per asset. That structure makes results easier to interpret.
If you prefer on-chain execution, Coinrule can run through smart accounts with limited permissions. Routing can seek better liquidity across pools, reducing manual swapping overhead. Session keys help you restrict what the automation can sign. You keep control while still getting systematic execution.
Track win rate, average win versus average loss, and time in trade. If average loss is larger than average win, tighten stops or take profits sooner. If trades linger, shorten the time stop or reduce entries. Small changes compound when the system runs every day.
Connect an exchange, pick a template, and adjust three numbers: trigger, take profit and stop. Launch with small size, review the log after 20-50 trades, and iterate. Coinrule makes systematic trading approachable without sacrificing control.
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