Turn signals into automated, risk-managed trades with Coinrule. Connect Binance, Coinbase, Kraken, OKX or Hyperliquid and run rules 24-7 without coding.
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Most traders collect alerts, then hesitate at the worst moment. With an AI trading signals platform like Coinrule, you can convert signals into rules that place orders automatically on Binance, Coinbase or Kraken with clear risk limits.
Link your account via API keys and keep funds on your exchange. The system reads prices, indicators and positions, then executes only what your rules allow. You can run spot or perps on venues like OKX and Hyperliquid without changing your workflow.
Use the rule builder to translate a signal into conditions and actions. For example, trigger an entry when RSI drops below 30 on 1-hour candles, then set a take profit at 4% and a stop loss at 2%. Add filters like trend direction or volume to avoid low-quality setups.
Signal To Order Automation
Instead of reacting to a Telegram ping, you define what a valid signal means. You might require price to close above MA200, then buy 1% of balance, and cancel if it does not fill within 15 minutes. Every step is logged so you can review what fired and why.
Risk Controls Built In
Risk rules sit next to entry rules, so you can cap exposure per coin, limit daily trades, or pause strategies after a drawdown threshold. This keeps automation disciplined when markets get noisy.
Volatility Breakout
Enters when price breaks the prior 24-hour high and volume rises. Uses a 2.5% stop loss and a 1.5% trailing take profit. Best during volatility expansion.
RSI Oversold Rebound
Buys when RSI falls below 30 on 4-hour candles and price holds support. Exits when RSI returns above 55 or after a 3% move. Built for mean reversion bounces.
MA Crossover with Volume Filter
Goes long when MA20 crosses above MA50 and volume is above its 20-period average. Closes on the reverse cross or a 2% stop loss. Helps avoid weak crossovers.
Grid Trading
Places a grid of buys and sells inside a defined range with fixed spacing. Re-centers the grid if price moves 6% beyond the range. Useful for sideways markets.
Stop Loss and Trailing Take Profit
Sets a hard stop at 2% and activates a trailing take profit after 3% unrealized gain. Tightens the trail to 1% once profit exceeds 8%. Designed for trend rides.
Volatility Breakout
Enters when price breaks the prior 24-hour high and volume rises. Uses a 2.5% stop loss and a 1.5% trailing take profit. Best during volatility expansion.
RSI Oversold Rebound
Buys when RSI falls below 30 on 4-hour candles and price holds support. Exits when RSI returns above 55 or after a 3% move. Built for mean reversion bounces.
MA Crossover with Volume Filter
Goes long when MA20 crosses above MA50 and volume is above its 20-period average. Closes on the reverse cross or a 2% stop loss. Helps avoid weak crossovers.
Grid Trading
Places a grid of buys and sells inside a defined range with fixed spacing. Re-centers the grid if price moves 6% beyond the range. Useful for sideways markets.
Stop Loss and Trailing Take Profit
Sets a hard stop at 2% and activates a trailing take profit after 3% unrealized gain. Tightens the trail to 1% once profit exceeds 8%. Designed for trend rides.
Breakout + Retest
Waits for a breakout above resistance, then buys after a retest holds for 2 candles. Exits at 5% take profit or if price closes back below the level. Reduces false breakouts.
Supertrend Momentum
Enters when Supertrend flips bullish on 1-hour charts and price is above VWAP. Exits when Supertrend turns bearish or after a 24-hour time stop. A clean momentum template.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells at the middle band or after 48 hours. Targets snapbacks after volatility spikes.
Funding Rate Mean Reversion
For perps, reduces longs when funding exceeds your threshold and re-adds when it normalizes. Uses a tight stop loss to limit squeeze risk. Useful on venues like Hyperliquid.
DCA Accumulator
Splits a monthly budget into weekly buys, then adds an extra tranche if price drops 5% in 24 hours. Pauses if price is below MA200. Built for steady accumulation.
For multi-exchange traders, one dashboard beats juggling tabs. Connect Binance, KuCoin, Bitget and Kraken, then apply the same logic everywhere or tailor rules per venue. You can even run separate risk caps for spot versus perps to keep exposure controlled.
When volatility spikes, raw alerts can overtrade. Add confirmation like ADX above 20, a candle close above a breakout level, or a maximum spread threshold before entering. These filters help you trade fewer, higher-conviction setups.
Test ideas with small size first and scale only after you trust the behavior. Start with 0.5% position sizing, then move to 1-2% once slippage and fills look consistent. Use time stops, like closing after 36 hours, to prevent dead positions from lingering.
Every rule run produces a clear audit trail. You can see the exact condition that triggered, the order type used, and the resulting position change. That makes iteration practical instead of emotional.
Launch BotFAQ
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If you already follow signals, the missing piece is repeatable execution. The platform turns your criteria into a checklist that never gets tired. You decide when to trade, how much to risk, and when to stop.
Coinrule does not hold your funds. Orders execute on your chosen venue, and you can revoke API access at any time. For on-chain automation, smart accounts and session keys can limit permissions.
When you want decentralized execution, you can run strategies on Base, Arbitrum or Binance Smart Chain. Routing can use Li.fi to seek liquidity across pools. That keeps the workflow consistent across CEX and DeFi.
Set max allocation per asset, max open positions, and cooldown timers between trades. Example: limit any single coin to 15% of portfolio and cap new entries to 3 per day. These guardrails matter more than fancy indicators.
Treat each strategy as a versioned experiment. Change one variable, like RSI 30 to RSI 35, and observe for two weeks. Over time you build a library of rules that match your risk tolerance.
Start with a proven template, then adapt it to your signal source and timeframe. Once you trust the behavior, scale gradually and keep the same risk discipline. See /automated-trading for more examples.
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