Build AI-assisted, rule-based crypto strategies in Coinrule and automate execution across Binance, Coinbase, Bybit and OKX with clear risk controls and logs.
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Instead of babysitting charts, Algorithmic trading AI in Coinrule helps you translate signals into rules you can test and run. Set entries, exits and position sizing in minutes, then deploy to Binance, Coinbase, Bybit or OKX via API keys. You stay in control with transparent conditions, alerts and an audit trail for every action.
Traders use intelligent automation to speed up research, but keep the final decision in explicit rule blocks. Combine indicators, price triggers and time windows so the system behaves predictably in live markets. When conditions are not met, it does nothing, which is often the best trade.
For example, you might buy 2 percent of balance if price drops 5 percent within 4 hours and RSI(1H) is below 30. Another setup sells 25 percent at +3 percent, another 25 percent at +6 percent, then trails the rest by 2 percent. You can pause entries when 24-hour volatility exceeds 8 percent to avoid chop.
AI-Ready Strategy Templates
Pick a template, then adjust thresholds, timeframes and order types to match your style. Clone variations to compare outcomes, like RSI 28 vs 32, or 1H vs 4H candles. The platform keeps each version separate so you can iterate safely.
Non-Custodial By Design
Your funds remain on the exchange while Coinrule sends orders through your connected keys. For on-chain automation, smart accounts can run with limited permissions, so you can separate execution rights from full wallet control.
Buy the Dips
Buys after a defined pullback, like -4 percent from a 24H high. Confirms with RSI below 35 on 4H candles. Exits on a rebound target or a trailing stop.
Grid Trading
Places staggered buy and sell orders inside a price range. Uses fixed spacing, for example 0.8 percent steps, to capture mean reversion. Stops the grid if price breaks out by 3 percent.
Volatility Breakout
Enters when price closes above a recent range high and ATR expands. Adds a confirmation filter like volume above its 20-period average. Exits on a time stop or a trailing take profit.
Stop Loss and Trailing Take Profit
Sets a hard stop, then switches to a trailing exit once profit exceeds a threshold. Example: stop at -2.5 percent, trail by 1.8 percent after +4 percent. Protects downside while letting winners run.
Supertrend Momentum
Buys when Supertrend flips bullish on 1H or 4H charts. Avoids entries if price is below a longer MA filter. Sells on the first bearish flip or a max drawdown rule.
Buy the Dips
Buys after a defined pullback, like -4 percent from a 24H high. Confirms with RSI below 35 on 4H candles. Exits on a rebound target or a trailing stop.
Grid Trading
Places staggered buy and sell orders inside a price range. Uses fixed spacing, for example 0.8 percent steps, to capture mean reversion. Stops the grid if price breaks out by 3 percent.
Volatility Breakout
Enters when price closes above a recent range high and ATR expands. Adds a confirmation filter like volume above its 20-period average. Exits on a time stop or a trailing take profit.
Stop Loss and Trailing Take Profit
Sets a hard stop, then switches to a trailing exit once profit exceeds a threshold. Example: stop at -2.5 percent, trail by 1.8 percent after +4 percent. Protects downside while letting winners run.
Supertrend Momentum
Buys when Supertrend flips bullish on 1H or 4H charts. Avoids entries if price is below a longer MA filter. Sells on the first bearish flip or a max drawdown rule.
Bollinger Band Mean Reversion
Buys when price tags the lower band and RSI is oversold. Sells near the middle or upper band for a defined mean reversion move. Adds a volatility filter to avoid trading during squeezes.
MA Crossover with Volume Filter
Enters on a fast MA crossing above a slow MA, only if volume is above average. Exits on the cross back or a fixed take profit. Works best in trend phases with participation.
DCA Accumulator
Splits a monthly budget into scheduled buys, like $500 into four $125 weekly orders. Can add an extra buy if price drops 3 percent on the day. Reduces buying when volatility spikes.
Portfolio Rebalance
Rebalances allocations back to targets, like 50/30/20, on a schedule. Adds drift bands such as +/-5 percent to avoid over-trading. Helps keep risk consistent across assets.
Funding Rate Hedge
Monitors perp funding and opens a hedge when funding exceeds a set level. Closes the hedge when funding normalizes or after a time limit. Useful for managing carry costs in perps.
Once your rules are ready, connect venues like Kraken, KuCoin, Bitget and Hyperliquid and choose spot or perps where supported. Coinrule runs checks continuously and triggers orders only when your conditions match. Start with small size limits, then scale after you review logs and slippage.
Rather than guessing, use the system to turn hypotheses into measurable rules. This is where Algorithmic trading AI works best: you define what must be true before entering, what invalidates the idea, and how much you risk per trade. That structure makes backtests and forward tests comparable, even when markets change.
Every bot should have guardrails. Add a max daily loss, a cooldown after three consecutive stop outs, and an allocation cap per coin. For example, you can stop all new entries if equity drawdown hits 6 percent, then resume only after 24 hours.
For decentralized execution, you can use smart accounts and session permissions to limit what automation can do. Trades can route through Li.fi to find efficient liquidity across pools. This keeps execution flexible while preserving self-custody principles.
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Start with one market and one timeframe, then expand. Keep a simple journal of rule changes and why you made them. Over time, you will learn which filters reduce false signals and which ones just reduce opportunity.
Use limit orders when spreads are wide and market orders when speed matters. Add a slippage buffer for breakouts, and avoid trading during illiquid hours if your pair is thin. Small tweaks here often beat adding more indicators.
Run a trend bot and a mean reversion bot on different assets or time windows so they do not fight each other. Set shared portfolio limits so total exposure stays within your comfort zone. This turns automation into a portfolio tool, not just a single bot.
Add regime filters like ADX strength, volatility bands or time-of-day rules. For instance, you can disable entries when ADX is below 15 for 12 hours, signaling chop. Skipping bad conditions is a competitive edge.
If you want deeper guides, see /automated-trading and /crypto-trading-bot for examples of rule patterns and risk setups. Use them as references, then adapt to your own constraints. Consistency comes from process, not prediction.
Create a strategy, connect an exchange, and start with conservative limits. Review performance weekly, refine one variable at a time, and keep your risk rules unchanged until you have enough data. Coinrule is built for that disciplined loop.
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