Build rule-based systems with Coinrule to trade consistently across Binance, Coinbase, Kraken and Hyperliquid, with templates, alerts and risk controls.
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Instead of reacting to every candle, Coinrule helps you turn Systematic trading strategies into clear if-this-then-that rules. Example: buy 2% when RSI drops below 30 on 1H candles, then sell 50% when RSI rises above 55. Add a 3% stop loss and a trailing take profit after +6%. Run the same logic across Binance, Coinbase, Kraken or OKX without rewriting anything.
Traders struggle when discretionary decisions are hard to review. Here, every condition, order and alert is logged, so you can see what triggered an entry and why an exit happened. Clone a rule, change one parameter, and compare behavior without changing your entire approach. That makes iteration practical, even if you are not coding.
For crypto automation, run strategies on centralized venues or route trades on-chain when you want self-custody. For perps, connect to Hyperliquid for hedges and trend systems. On-chain execution can use smart accounts with session permissions, so rules can trade without exposing full wallet control. For more context on automation, see /automated-trading.
Risk Controls First
When volatility spikes, set max position size, daily loss limits and cooldown timers so the bot cannot overtrade. Example: stop all rules if equity drawdown hits 5% in 24 hours, or pause a strategy for 2 hours after three consecutive stop outs. These controls keep execution consistent under stress.
Templates To Start Fast
Templates cover grids, DCA and trend systems you can adapt in minutes. Paper trade first, then go live with the same rule set. Favorites and cloning make it easy to maintain a small library of variants.
Buy the Dips
Buys after a defined pullback, such as -4% in 12 hours. Adds a second entry if price drops another 3%. Exits on a rebound or a trailing take profit.
Grid Trading
Places layered buys and sells inside a range with fixed spacing. Takes profit at each grid step. Pauses if price breaks out by 2 ATR to avoid chasing trends.
Volatility Breakout
Enters when price closes above the prior 20-candle high and ATR expands. Sets a stop loss 1.5 ATR below entry. Exits on a close back inside the range.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells at the middle band, then trails the rest if momentum continues. Best on 1H to 4H ranges.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross or a 2% stop. Helps avoid weak signals in low liquidity.
Buy the Dips
Buys after a defined pullback, such as -4% in 12 hours. Adds a second entry if price drops another 3%. Exits on a rebound or a trailing take profit.
Grid Trading
Places layered buys and sells inside a range with fixed spacing. Takes profit at each grid step. Pauses if price breaks out by 2 ATR to avoid chasing trends.
Volatility Breakout
Enters when price closes above the prior 20-candle high and ATR expands. Sets a stop loss 1.5 ATR below entry. Exits on a close back inside the range.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells at the middle band, then trails the rest if momentum continues. Best on 1H to 4H ranges.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross or a 2% stop. Helps avoid weak signals in low liquidity.
Stop Loss and Trailing Take Profit
Adds a protective stop to every entry and activates a trailing take profit after a defined gain. Example: stop at -2.5%, trail 1.2% once price is +5%. Keeps exits consistent.
Supertrend Momentum
Enters when Supertrend flips bullish on 4H candles. Scales out at +4% and +8%. Exits when Supertrend turns bearish or a 7-day time stop hits.
DCA Accumulator
Splits a budget into scheduled buys, such as $100 every Monday and Thursday. Adds an extra buy if price drops 6% from the 7-day high. Reduces buys when volatility rises.
Portfolio Rebalance
Rebalances back to target weights on a schedule or when drift exceeds a threshold. Example: rebalance weekly or when any asset deviates by 5%. Keeps risk aligned without manual math.
Mean Reversion with Z-Score
Buys when Z-score falls below -2 on a rolling window and sells when it returns to 0. Adds a 48-hour time stop if mean reversion does not occur. Useful for range-bound pairs.
Unlike ad-hoc trading, a systematic workflow starts with a hypothesis, then turns it into measurable rules. Define the trigger, order type, position size and exit before going live. Example: if price breaks the 55-day high and ADX is above 20, buy 1% of balance, set stop at 2 ATR, and trail after +7%. Keep each piece explicit so you can review performance and adjust one variable at a time.
Once a rule is running, you want feedback without staring at charts. Use alerts for fills, stop hits and unusual volatility so you intervene only when needed. Track open positions, exposure and bot status in one dashboard. For deeper education, see /learn.
Risk is usually a sizing problem, not an indicator problem. Set fixed sizing like 1% per trade, or scale by volatility so larger ATR means smaller size. Cap total exposure per coin and per exchange to avoid concentration. This is where Systematic trading strategies become durable instead of fragile.
Your funds stay on your exchange or in your wallet. Coinrule connects via API keys on venues like Bybit, Bitget and KuCoin, and you can restrict permissions to trading only. For on-chain, smart accounts and session keys can limit what a rule is allowed to do. That separation helps you automate without giving up control.
Build StrategyFAQ
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Traders improve faster with a few well-defined systems instead of dozens of half-finished ideas. Keep one trend rule, one mean reversion rule and one accumulator, then track them separately. Label each bot with its regime and timeframe so you know when to use it.
When markets change, the same entry signal can behave differently. Add a filter like ADX above 18 for trend systems, or a volatility ceiling for mean reversion. You can also block entries during major news windows with time-based rules.
Different exchanges have different liquidity and fees, which can change outcomes. Use limit orders when spreads widen, and market orders only when speed matters. Keep position sizes realistic for the pair and watch for slippage.
A good system is explainable after the fact. Coinrule records triggers, orders and outcomes so you can answer what happened and why without guessing. Export results to review drawdowns and streaks.
After a strategy behaves as expected, scale in steps. Increase size by 10% to 20%, then watch how fills and drawdowns change. If performance degrades, roll back quickly and investigate.
Start with one template, add clear risk limits, and let the engine execute your plan 24-7. Connect an exchange, paper trade, then go live when behavior matches expectations. Pause, edit and relaunch in seconds.
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