Connect Coinrule to major exchanges and run rule-based automation with a non-custodial trading API platform that is transparent and easy to control.
410k+
users building rules
1M+
strategies created
20+
exchanges connected
Instead of wiring endpoints and retries yourself, Coinrule turns a Trading API platform into a visual rules engine. Connect API keys to Binance, Coinbase, Kraken or Bitget, then define entries, exits and risk in minutes. Example: buy 2% of balance if price drops 5% in 4 hours, then place a 3% stop loss and a 6% take profit. You keep custody on the exchange while the system executes your logic and records every action.
Traders often juggle different interfaces for spot, perps and on-chain swaps. Coinrule centralizes strategy design so the same logic can run across connected venues without rewriting code. You can clone a rule for a new market, adjust position sizing, and keep a consistent risk model. When you need on-chain execution, smart accounts and routing handle the complexity behind the scenes.
Every automation has to be auditable. The platform shows triggers, orders, and timestamps so you can verify what happened and why. Set safeguards like max daily trades, cooldown timers, and allocation caps per asset. Example: limit a bot to 6 trades per day and pause it automatically after a 4% portfolio drawdown. This keeps experimentation structured even in fast markets.
API-connected, non-custodial
\"order filled\" or \"drawdown exceeds 6%\" so you are never blind to risk. This makes iteration faster than manual trading notes."
Fast setup, deep customization
Start from templates, then tune details like candle timeframe, indicator thresholds, order type and sizing. Example: enter when RSI(14) drops below 30 on 1-hour candles, add a second buy if price falls another 2%, and exit when RSI rises above 55. You can also schedule rules, add time stops, and route alerts to keep oversight tight.
Buy the Dips
Buys after a 3% drop from the 24h high with steady volume. Adds a second entry if price falls another 2%. Exits on a 5% rebound or a time stop.
Grid Trading
Places buys and sells inside a defined range. Re-centers the grid if price breaks out by 2 ATR. Built for choppy markets with clear boundaries.
Volatility Breakout
Enters when price closes above the prior day high and ATR expands. Uses a 2.5% stop loss and trails profit after a 4% gain. Best on 4-hour candles.
Stop Loss and Trailing Take Profit
Opens on a simple trigger, then manages risk automatically. Sets a fixed stop at 2% and activates a trailing take profit after 3% unrealized gain. Tightens the trail as profit grows.
Supertrend Momentum
Buys when Supertrend flips bullish on 1-hour candles and price is above MA200. Sells on the first bearish flip or if price drops 1.8% from entry. Avoids low ATR periods.
Buy the Dips
Buys after a 3% drop from the 24h high with steady volume. Adds a second entry if price falls another 2%. Exits on a 5% rebound or a time stop.
Grid Trading
Places buys and sells inside a defined range. Re-centers the grid if price breaks out by 2 ATR. Built for choppy markets with clear boundaries.
Volatility Breakout
Enters when price closes above the prior day high and ATR expands. Uses a 2.5% stop loss and trails profit after a 4% gain. Best on 4-hour candles.
Stop Loss and Trailing Take Profit
Opens on a simple trigger, then manages risk automatically. Sets a fixed stop at 2% and activates a trailing take profit after 3% unrealized gain. Tightens the trail as profit grows.
Supertrend Momentum
Buys when Supertrend flips bullish on 1-hour candles and price is above MA200. Sells on the first bearish flip or if price drops 1.8% from entry. Avoids low ATR periods.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 40. Exits at the middle band or when RSI crosses 55. Adds a time stop after 48 hours.
DCA Accumulator
Splits a monthly budget into weekly buys at a fixed time. Skips a buy if price is 8% above the 30-day average. Rebalances to target allocation once per month.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above its 20-day average. Exits on crossback or a 3% stop loss. Designed to reduce false signals in thin liquidity.
RSI Divergence Hunter
Looks for bullish divergence where RSI makes higher lows as price makes lower lows. Confirms with a break above the last swing high. Takes profit at 2R and moves stop to breakeven at 1R.
TWAP Execution Accumulator
Executes a larger order in small slices over a set window. Places one buy every 10 minutes for 2 hours with a max slippage guard. Useful for calmer entries.
\"stop trading if daily loss hits 4%\" and \"reduce order size by 50% when volatility doubles\". Add stop losses
Risk controls include position sizing by balance percent, per-asset caps and portfolio-level stops. Add cooldowns so a bot cannot re-enter for 30 minutes after an exit. Use partial exits, like selling 50% at +4% and trailing the rest. These guardrails help you keep discipline when volatility spikes.
For traders who use perpetuals, the system supports rule-based hedges and trend-following logic on venues like Hyperliquid. You can define separate risk limits for spot and perps, and pause one side without touching the other. Example: open a hedge when funding turns positive above 0.02% and close it when funding normalizes. Keep leverage conservative and track exposure in one dashboard.
When you want to trade on-chain, smart accounts enable safer execution with limited permissions. Routing can seek better liquidity across pools, reducing manual swapping and guesswork. You can automate rebalances between stablecoins and majors, or run a simple breakout rule on an EVM chain. See /automated-trading for more workflows.
Launch BotFAQ
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Once a rule is stable, clone it and change one variable at a time. Try moving from 1-hour to 4-hour candles, or tighten a stop from 3% to 2%. Keep notes on what changed and why. This process turns random tweaking into a repeatable research loop.
Markets change, and you need a fast kill switch. Pause a single strategy, a group, or everything, then resume when conditions normalize. Alerts help you react without staring at charts. That control matters as much as the entry signal.
Good systems separate when to enter from how to manage exposure. Define signals with indicators, then manage risk with sizing, stops and timeouts. This keeps you from widening stops emotionally. It also makes performance analysis cleaner.
If you already track ideas in TradingView or a spreadsheet, you can translate them into rules quickly. Use simple conditions first, then add filters like trend direction or volume. Keep the number of moving parts low until you see consistent behavior. See /pricing for plan limits.
Automation is not a guarantee of profit, but it can remove hesitation and reduce mistakes. The goal is repeatable execution with measurable outcomes. Use conservative assumptions, account for fees, and review performance regularly. Treat every strategy as an experiment with controls.
Pick one exchange, one pair and one template, then run it with small size for a week. Review the order history, adjust thresholds, and only then expand coverage. You will learn faster with fewer variables. When you are ready, scale across more markets from the same dashboard.
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