Turn AI narrative moves into rule-based automation. Coinrule helps you test entries, exits and hedges across Binance, Kraken, Coinbase, OKX and Bybit.
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Instead of chasing every headline, translate AI chip strategies into clear triggers you can backtest and automate. For example, buy when sentiment spikes and BTC holds above its 200-day MA, then take profit at +8% and trail 3%. Coinrule runs those rules 24-7 on Binance, Coinbase, Kraken and more, so execution stays consistent when volatility hits.
Traders often treat the AI theme as one big bet, but the market moves in waves: momentum bursts, pullbacks and rotation into defensives. Use indicators like RSI, moving averages and volatility bands to define each phase. A simple setup is RSI below 35 on 4-hour candles plus a reclaim of MA50 for entries, then exit when RSI exceeds 65 or price closes below MA20.
Risk controls matter more than prediction. Set max position size per token, daily loss limits and cooldown timers after a stop. You can also add a hedge rule: if BTC drops 4% in 2 hours, reduce exposure by 25% or rotate into a stablecoin pair until conditions normalize.
Theme Trading, Systematized
Templates give you a starting point for momentum, mean reversion and trend confirmation. Clone a bot for each market regime and change only one variable at a time, like timeframe or stop distance. That way you learn what actually drives performance instead of guessing.
Multi-Exchange Execution
Connect accounts via API keys and run the same logic across venues like OKX, Bybit, Bitget and Hyperliquid perps, while keeping a unified view of rules and logs in one dashboard.
Volatility Breakout
Enters when price breaks the prior 20-candle high with rising ATR on 1H. Adds a tight stop at 2.5% and takes profit in two steps at 4% and 7%.
Breakout + Retest
Buys after a breakout, then waits for a retest of the level on 4H. Exits on a close back below the retest zone or when price reaches a 2R target.
MA Crossover with Volume Filter
Goes long when MA20 crosses above MA50 and volume is above its 20-period average. Closes when the cross reverses or a 3% trailing stop triggers.
RSI Divergence Hunter
Looks for bullish RSI divergence on 1H while price makes a lower low. Enters on confirmation candle close and exits when RSI returns above 55 or after a time stop.
Bollinger Band Mean Reversion
Buys when price closes below the lower band on 4H and RSI is under 40. Sells at the middle band and sets a protective stop 2% below entry.
Volatility Breakout
Enters when price breaks the prior 20-candle high with rising ATR on 1H. Adds a tight stop at 2.5% and takes profit in two steps at 4% and 7%.
Breakout + Retest
Buys after a breakout, then waits for a retest of the level on 4H. Exits on a close back below the retest zone or when price reaches a 2R target.
MA Crossover with Volume Filter
Goes long when MA20 crosses above MA50 and volume is above its 20-period average. Closes when the cross reverses or a 3% trailing stop triggers.
RSI Divergence Hunter
Looks for bullish RSI divergence on 1H while price makes a lower low. Enters on confirmation candle close and exits when RSI returns above 55 or after a time stop.
Bollinger Band Mean Reversion
Buys when price closes below the lower band on 4H and RSI is under 40. Sells at the middle band and sets a protective stop 2% below entry.
DCA Accumulator
Splits buys into fixed tranches, like 5 orders of 1% each every 12 hours. Pauses DCA if price drops more than 6% in a day, then resumes after stabilization.
Stop Loss and Trailing Take Profit
Enters on a simple trend trigger, then sets a hard stop at 3%. Once profit exceeds 5%, activates a 2% trailing take profit to lock gains during spikes.
Portfolio Rebalance
Rebalances weekly to target weights, for example 40% BTC, 30% ETH and 30% AI-themed basket. Adds a drift threshold so trades only happen when allocation moves 5% off target.
Supertrend Momentum
Buys when Supertrend flips bullish on 4H and price closes above the signal line. Exits on the first bearish flip or if price falls 3% from the peak.
Volatility Regime Switcher
Measures volatility with ATR and switches between trend and mean-reversion rules. In high volatility it uses wider stops and smaller size; in low volatility it tightens targets.
For AI chip strategies, separate long-term exposure from tactical risk. Keep a spot core position, then use perps rules to hedge drawdowns: if price falls 5% from a 24-hour high, open a small short equal to 20% of spot and close it when price reclaims MA50. This structure can reduce emotional decision-making during fast reversals.
Unlike discretionary trading, automation forces you to choose what matters. Start with three inputs: trend (MA50 vs MA200), momentum (RSI or MACD) and volatility (ATR or band width). Then decide one execution style, like limit orders near VWAP or market orders only on breakouts. Keep a simple journal of rule changes so you do not overfit to last weeks price action.
Rules work best when they are measurable. Example 1: if RSI crosses below 30 on 1H and price is above MA200 on 1D, buy 2% of balance and set a 3% stop. Example 2: if price rises 10% in 6 hours, sell 30% and trail the rest by 2%. Example 3: if funding turns strongly positive and OI spikes 15% in a day, reduce size by 25% to avoid crowded longs.
After you draft a rule, test it on different market periods, not just the last rally. Paper trading helps you validate execution details like slippage, order types and cooldowns. Once results look stable, go live with smaller size and scale only after a meaningful sample of trades.
Launch BotFAQ
Lars H.
Priya K.
Michael R.
Giulia C.
Kenji M.
Valentina C.
When a narrative is hot, traders tend to increase size and loosen stops. Build the opposite behavior into your automation: smaller size when ATR expands, tighter exposure caps after a winning streak and mandatory cooldowns after a stop-out. These guardrails keep one bad day from erasing a month of steady gains.
Use limit orders for pullback entries and market orders only for true breakouts where speed matters. Add a spread check by requiring price to stay above a level for two closes, not one. If you trade smaller caps, consider a time-sliced approach like TWAP to reduce impact.
A theme can express itself through multiple tokens and correlations change quickly. Create a basket with weights and rebalance weekly, then let one momentum bot trade the strongest component while a separate rule trims laggards. This reduces single-asset risk and keeps exposure aligned with what is actually leading.
Set alerts for drawdowns, missed orders and unusual volatility so you can intervene when needed. Use scheduling to avoid low-liquidity hours if that fits your market. Keep a simple checklist: API permissions, max allocation, stop logic and a global pause button.
Treat each bot as a versioned release. Change one parameter, run it for a defined sample, then compare results to the prior version. Over time you will build a small library of strategies for different regimes rather than constantly reinventing your approach.
Pick a template close to your intent, clone it and add your risk rules first. Once the bot behaves correctly in paper trading, deploy with small size and scale gradually. Coinrule makes it easy to keep your process consistent across markets and exchanges.
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