Build systematic crypto strategies without code. Coinrule turns signals into automated execution, risk controls and logs across major exchanges and on-chain.
410k+
users building rules
1M+
strategies created
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Venues Supported
Instead of wiring scripts and servers, Quant trading software on Coinrule lets you express logic as clear IF-THIS-THEN-THAT rules. Connect Binance, Coinbase, Kraken, OKX or Hyperliquid and run the same strategy everywhere. Example: if BTC drops 5% in 4 hours, buy 2% of your USDT balance, then place a 3% stop loss. You get consistent execution, audit logs and alerts, while keeping funds on your exchange.
Traders use the builder to combine price triggers, indicators and time filters into repeatable playbooks. You can chain conditions like RSI below 30 on 1-hour candles AND price above MA200, then scale out at +4% and +8%. The interface encourages discipline by making entries, exits and position sizing explicit. When you adjust a rule, the change is tracked so you can compare outcomes over time.
For crypto automation, coverage matters as much as features. Coinrule supports spot and perps venues, plus on-chain execution where it fits your workflow. You can run the same logic on Bybit and Bitget, or keep separate rule sets per exchange to account for liquidity and fees. If you trade on-chain, smart accounts and session keys enable limited-permission execution while you stay in control.
Risk Controls And Guardrails
Risk controls include max allocation per asset, max open positions and rule-level cooldowns. Set a daily loss limit like 2% and auto-pause all strategies if breached. Add a volatility filter such as ATR above a threshold to avoid choppy periods. These guardrails keep systematic trading systematic.
Templates You Can Customize
Start from proven templates, then tune parameters to your market and timeframe. Clone a strategy, change the RSI window from 14 to 10, or switch from 4-hour to 1-hour candles. You can run small-size pilots first, then scale once the behavior matches your expectations. Everything stays transparent and editable.
Buy the Dips
Buys after a defined pullback, such as -3% to -7% from a recent high. Adds only if trend filters stay positive. Exits on a rebound target or a time stop.
Grid Trading
Places staggered buys and sells inside a price range to harvest mean reversion. Uses fixed spacing or percentage steps. Pauses the grid if price breaks out beyond the band.
Mean Reversion with Z-Score
Enters when price deviates beyond a Z-score threshold from a moving average. Exits when the deviation normalizes near zero. Works best with tight risk limits and a time stop.
Volatility Breakout
Buys when price breaks above a recent range with volatility expansion. Confirms with candle close and optional volume filter. Exits with a trailing stop to ride continuation moves.
Stop Loss and Trailing Take Profit
Adds a hard stop loss, then switches to a trailing take profit after a gain threshold. Example: stop at -2.5%, trail by 1.2% once up 4%. Designed to cap downside and let winners run.
Buy the Dips
Buys after a defined pullback, such as -3% to -7% from a recent high. Adds only if trend filters stay positive. Exits on a rebound target or a time stop.
Grid Trading
Places staggered buys and sells inside a price range to harvest mean reversion. Uses fixed spacing or percentage steps. Pauses the grid if price breaks out beyond the band.
Mean Reversion with Z-Score
Enters when price deviates beyond a Z-score threshold from a moving average. Exits when the deviation normalizes near zero. Works best with tight risk limits and a time stop.
Volatility Breakout
Buys when price breaks above a recent range with volatility expansion. Confirms with candle close and optional volume filter. Exits with a trailing stop to ride continuation moves.
Stop Loss and Trailing Take Profit
Adds a hard stop loss, then switches to a trailing take profit after a gain threshold. Example: stop at -2.5%, trail by 1.2% once up 4%. Designed to cap downside and let winners run.
Supertrend Momentum
Enters when Supertrend flips bullish on 4-hour or daily candles. Filters trades when trend is weak or sideways. Exits on the first bearish flip or a trailing stop.
MA Crossover with Volume Filter
Buys when a fast MA crosses above a slow MA and volume exceeds a threshold. Avoids low-liquidity chop by requiring confirmation. Exits on crossback or a fixed profit target.
Pairs Trading Cointegration
Tracks a spread between two correlated assets and trades reversion to the mean. Enters when the spread widens beyond a band. Exits when the spread returns to its midpoint.
Portfolio Rebalance
Rebalances to target weights on a schedule, such as weekly or month-end. Sells overweight positions and buys underweights automatically. Helps maintain risk exposure as prices move.
Funding Rate Hedge
Uses funding signals to reduce carry costs on perps. Adds a hedge when funding turns extreme and unwinds when it normalizes. Best paired with strict position caps and alerts.
Unlike spreadsheets that stop at theory, Coinrule is built for the moment your idea goes live. Quant trading software should make assumptions explicit: timeframe, trigger, sizing and exit. For example, require RSI below 35 on 4-hour candles, then buy 1% per signal with a 6-hour cooldown. Add a rule that sells 50% at +5% and moves the stop to breakeven. That structure makes results easier to evaluate and iterate.
Once a rule triggers, the platform handles order placement and monitoring so you do not babysit charts. You can choose market or limit logic depending on liquidity and slippage tolerance. Set safeguards like minimum order size, max spread and retry behavior. Real-time notifications keep you informed without pulling you into emotional decisions.
Your funds stay on your exchange accounts, and you connect via API keys with scoped permissions. For on-chain automation, smart accounts and session keys can limit what a strategy is allowed to do. You can revoke access at any time and pause all rules instantly. This setup reduces operational risk while keeping automation practical.
Risk controls include portfolio-level exposure views, per-strategy toggles and clear activity logs. Run separate rule sets for BTC, ETH and altcoins, or group them by volatility regime. Schedule strategies to avoid thin liquidity windows if that matches your approach. The goal is repeatable process, not constant screen time.
Launch BotFAQ
Lars H.
Priya K.
Michael R.
Giulia C.
Kenji M.
Valentina C.
Separate signal quality from execution quality by standardizing how orders get placed. Add time stops so positions do not linger, and use cooldowns to prevent overtrading. Keep sizing simple, like 0.5% to 2% per entry, until you see stable behavior. Consistency is a feature you can design.
Indicators work best when they define regimes. Use MA200 to separate trend from chop, then apply RSI or Supertrend for timing. Combine conditions so one noisy signal cannot dominate. Review a small set of metrics weekly and adjust one parameter at a time.
Every strategy should answer three questions: when to enter, when to exit and when to stop. Use partial take profits, trailing stops and max holding time to avoid decision paralysis. Example: take 30% at +3%, 30% at +6%, then trail the rest by 1.5%. That turns a vague idea into a repeatable plan.
If you trade multiple venues, keep rules modular. Run spot accumulation separately from hedges, and cap total exposure across both. On-chain execution can complement exchange trading when liquidity is favorable, while smart sessions limit permissions. A unified view helps you avoid accidental over-allocation.
Logs, alerts and rule histories make it easier to learn from outcomes. Tag strategies by market regime and compare performance across weeks. When something breaks, you can trace the exact trigger and order path. That feedback loop is what turns automation into a process.
Begin with one template, one market and conservative sizing, then expand only after you trust the behavior. Add a second strategy for a different regime, such as breakout versus mean reversion. Keep risk limits constant as you scale the number of rules. When you are ready, go live across more venues with the same disciplined framework.
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