Design rule-based automation in Coinrule and deploy it across major exchanges with risk limits, logs and real-time controls.
410k+
users building rules
1M+
strategies created
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Exchanges Supported
Instead of reacting to every candle, an AI trading agent can translate your plan into repeatable rules. In Coinrule you define triggers like RSI, moving averages and price moves, then automate entries, exits and position sizing. Connect to Binance, Kraken or Bybit via API keys while keeping funds on the exchange. You get a clear audit trail of every decision.
Traders often call it AI because it behaves like a disciplined assistant. It watches multiple markets 24-7, applies the same logic every time and never forgets a stop. You can combine indicators with context, like only buying when trend is up and volatility is within range. The result is systematic execution you can review and improve.
On Coinrule, rules are assembled visually and tested before going live. Templates help you start fast, then you can edit conditions, timeframes and order types. You can run spot strategies, manage perps on supported venues and set portfolio-level limits. When you change a rule, the platform logs the update so you always know what is running.
Risk Controls First
Every strategy can include max daily trades, cooldown timers and allocation caps. For example, you might limit a bot to 3 entries per day and a 2 percent position size per trade. Add a hard stop at 2.5 percent and a trailing take profit that activates after 4 percent unrealized gain. These constraints keep automation aligned with your risk plan.
Multi-Venue Automation
Run the same logic across Coinbase, KuCoin and OKX, or tailor rules per exchange based on liquidity and fees. Coinrule keeps a unified view of performance so you can compare results and iterate quickly.
Buy the Dips
Buys after a 5 percent drop from the 24h high with a trend filter. Adds two scale-in buys if price falls another 3 percent. Exits on a 6 percent rebound or a time stop.
Grid Trading
Places buy and sell orders inside a defined range. Re-centers the grid if price breaks out by more than 2 ATR. Works best in sideways markets with clear boundaries.
Optimised RSI and MA Strategy
Enters when RSI dips below 35 while price stays above MA200 on 4h candles. Takes profit when RSI exceeds 60. Adds a stop if the trend filter flips.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands by 15 percent. Uses a tight stop, then trails after 3 percent profit. Adds a cooldown to reduce chop.
Stop Loss and Trailing Take Profit
Opens on your chosen signal and sets a fixed stop immediately. Switches to a trailing take profit after a 2 percent move in your favor. Helps lock gains during fast spikes.
Buy the Dips
Buys after a 5 percent drop from the 24h high with a trend filter. Adds two scale-in buys if price falls another 3 percent. Exits on a 6 percent rebound or a time stop.
Grid Trading
Places buy and sell orders inside a defined range. Re-centers the grid if price breaks out by more than 2 ATR. Works best in sideways markets with clear boundaries.
Optimised RSI and MA Strategy
Enters when RSI dips below 35 while price stays above MA200 on 4h candles. Takes profit when RSI exceeds 60. Adds a stop if the trend filter flips.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands by 15 percent. Uses a tight stop, then trails after 3 percent profit. Adds a cooldown to reduce chop.
Stop Loss and Trailing Take Profit
Opens on your chosen signal and sets a fixed stop immediately. Switches to a trailing take profit after a 2 percent move in your favor. Helps lock gains during fast spikes.
Supertrend Momentum
Goes long when Supertrend flips bullish on 1h and volume is above its 20-period average. Exits on the first bearish flip or a 1.8 percent stop. Built for trend phases.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is 25 percent above average. Sells on the reverse cross or if price closes below MA50. Filters weak signals in thin markets.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 40. Takes profit at the middle band, then exits at the upper band. Adds a time stop to avoid stagnation.
Funding Rate Hedge
When funding turns strongly positive, reduces long exposure and adds a small hedge. Reverts when funding normalizes for two consecutive checks. Useful for perps crowding risk.
Portfolio Rebalance
Rebalances to target weights on a schedule, such as weekly or month-end. Trades only if an asset drifts more than 3 percent from target. Helps maintain diversification with fewer manual adjustments.
For crypto automation, setup is straightforward: create API keys on Binance or Coinbase, paste them into Coinrule and choose permissions. Use read and trade only, and keep withdrawals disabled. Then pick a template, set your trade size and define a max allocation per asset. You can start with small sizing and scale up after reviewing logs.
Unlike black-box tools, you can express exact conditions. Example 1: buy 1 percent of balance if BTC drops 4 percent in 6 hours and RSI(1h) is below 30, then take profit at 3 percent and stop at 2 percent. Example 2: if MA20 crosses above MA50 on 4h and volume is up 20 percent, enter and trail by 1.2 percent after price gains 2.5 percent. Example 3: rebalance every Friday, but only if any coin deviates more than 3 percent from its target weight. These are easy to test, clone and refine.
An AI trading agent works best when it enforces discipline and removes hesitation. It does not predict the next move, so you still need a thesis and risk limits. Coinrule helps by making assumptions explicit: triggers, sizing, exits and time stops. You can review performance by market regime and adjust rules rather than guessing. That feedback loop is what makes the process feel smarter over time.
Risk controls include allocation caps, max open positions and kill switches. You can pause all rules instantly if conditions change. The platform keeps an execution history so you can audit why an order fired. Use separate API keys per exchange and rotate them periodically for hygiene.
Launch BotFAQ
Sofia G.
James W.
Marco P.
Priya K.
Lars H.
Valentina C.
Templates are starting points, not constraints. Clone one, change the timeframe, then adjust only one variable like an RSI threshold. Keep notes on what changed and why. Over time you build a library of proven variants.
Set a maximum percent of total balance that automation can deploy. Limit the number of simultaneous positions to reduce correlation surprises. If you trade perps, cap leverage and require a wider stop. These controls often matter more than fancy signals.
When markets chop, time stops prevent capital from getting stuck. For example, exit if a position has not reached take profit within 36 hours. Pair that with a cooldown so the rule does not re-enter immediately. This keeps behavior stable across regimes.
Look at win rate, average win versus loss and maximum drawdown per rule. Compare results by day of week or session to spot patterns. If a rule only works in trends, add a trend filter instead of abandoning it. Small improvements compound.
If you want to go deeper, see /automated-trading for broader workflows and /crypto-trading-bot for strategy ideas. You can also explore on-chain execution when you are ready for decentralized venues. Keep the same discipline: clear triggers, clear exits and clear limits.
Create one strategy, run it with small size and review the trade log after the first 20 executions. Then clone it, adjust one parameter and compare. That simple loop turns experimentation into a repeatable process.
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