Build rule-based automation with a crypto bot platform that connects to Binance, Coinbase, Kraken, OKX and more, with templates, backtesting and risk controls.
410k+
users building rules
1M+
strategies created
20+
Exchanges Supported
Instead of babysitting charts, Coinrule turns your plan into automation. A Crypto bot platform should let you define entries, exits and risk in plain rules, then run them consistently across venues. Connect to Binance, Coinbase, Kraken or Bybit via API keys while keeping funds on the exchange. Set alerts, review logs and iterate fast.
Traders often split liquidity across multiple accounts, which makes manual execution messy. Coinrule centralizes monitoring, positions and rule status so you can see what is running and why. You can pause a single strategy, clone it for a new pair, or schedule it to run only during specific hours. The interface keeps your logic readable, even when you combine indicators and time filters.
When volatility spikes, simple triggers can misfire without context. Use indicator logic like RSI, moving averages and Supertrend to confirm direction before placing orders. For example, buy when RSI drops below 30 on 1-hour candles and price is above MA200, then sell when RSI rises above 55. Add a cooldown like 4 hours between entries to avoid overtrading in chop.
Built-In Risk Guardrails
Risk controls include stop loss, trailing take profit and max allocation per coin. You might cap exposure at 15% per asset, place a 3% stop loss, and trail profits by 1.5% once price is up 6%. Set portfolio-level alerts so you know when total drawdown hits a threshold. These guardrails help keep automation disciplined.
Non-Custodial By Design
Coinrule connects through exchange API keys with limited permissions, so you can disable withdrawals and keep custody. For on-chain automation, smart accounts and session keys can limit what a strategy is allowed to do. You get transparency through execution logs and rule history, so changes are auditable. See /automated-trading for the full workflow.
Buy the Dips
Buys after a 5% drop in 4 hours with a trend filter on. Scales in with two additional buys at -3% steps. Exits on a 6% rebound or a trailing take profit.
Grid Trading
Places a grid of buys and sells inside a defined range. Uses 10 levels with equal spacing and fixed order size. Pauses if price breaks out of range by 2%.
Optimised RSI and MA Strategy
Enters when RSI crosses below 35 and price reclaims MA50 on 4-hour candles. Takes profit when RSI exceeds 65. Exits after 3 days if the trade stays flat.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands. Confirms with a volume filter to reduce fakeouts. Uses a 2.5% stop loss and trails winners.
DCA Accumulator
Splits a $500 monthly budget into four $125 weekly buys. Adds an extra buy if price drops 4% from the weekly open. Pauses accumulation if trend turns bearish.
Buy the Dips
Buys after a 5% drop in 4 hours with a trend filter on. Scales in with two additional buys at -3% steps. Exits on a 6% rebound or a trailing take profit.
Grid Trading
Places a grid of buys and sells inside a defined range. Uses 10 levels with equal spacing and fixed order size. Pauses if price breaks out of range by 2%.
Optimised RSI and MA Strategy
Enters when RSI crosses below 35 and price reclaims MA50 on 4-hour candles. Takes profit when RSI exceeds 65. Exits after 3 days if the trade stays flat.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands. Confirms with a volume filter to reduce fakeouts. Uses a 2.5% stop loss and trails winners.
DCA Accumulator
Splits a $500 monthly budget into four $125 weekly buys. Adds an extra buy if price drops 4% from the weekly open. Pauses accumulation if trend turns bearish.
Stop Loss and Trailing Take Profit
Opens a position on a simple trend signal, then manages exits automatically. Sets a hard stop at 3% and a trailing take profit at 1.2%. Locks gains without constant monitoring.
Supertrend Momentum
Enters when Supertrend flips bullish on 1-hour candles and holds for two closes. Exits on the first bearish flip. Adds a volatility filter to reduce churn in ranges.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is 20% above its 10-day average. Sells on the cross back or if price drops 2%. Works well for trend transitions.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 40. Takes profit at the middle band and exits at the upper band. Limits to 2 entries per day.
Portfolio Rebalance
Rebalances to target weights weekly or when drift exceeds 5%. Sells overweight assets and buys underweight ones. Helps keep risk aligned during fast market moves.
Unlike rigid bot apps, Coinrule treats strategies like modular building blocks. Start from a template, then change one variable at a time, such as RSI 30 to RSI 28 or timeframe 1H to 4H. Paper test your logic, then go live with small size to validate slippage and fills. Once stable, scale gradually and keep notes in the rule description for future audits.
Backtests are most useful when they reflect how you will actually trade. Test a rule on BTC and ETH separately, then compare results across different volatility regimes. Keep assumptions conservative by using fewer trades and wider stops rather than curve fitting. Review the trade list to spot issues like repeated entries during a single downtrend.
A Crypto bot platform should not lock you into one venue or product type. Coinrule supports spot automation and can extend to perps on venues like Hyperliquid, depending on your setup and region. You can run the same logic across multiple exchanges, or isolate risk by assigning one strategy per account. For on-chain execution, routes can seek best liquidity across pools via smart routing.
Every action is logged so you can see which condition triggered an order. That makes it easier to debug a rule after a fast move. You can export history, compare versions and keep a clean change trail. Clear logs beat guesswork.
Launch BotFAQ
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New traders can start with simple templates and learn by tweaking one parameter. Advanced users can layer confirmations, add time windows and run multiple strategies across accounts. The builder stays readable even as logic grows. That balance is the point.
Use API keys with trading-only permissions and rotate them periodically. Turn on exchange-level security like IP whitelisting when available. Review connected venues and disable anything you no longer use. Good hygiene reduces operational risk.
A strategy without limits is just a guess with leverage. Define position sizing, max open trades and a clear exit plan before you optimize entries. If you change one variable, re-check the whole risk profile. Discipline scales better than complexity.
Track drawdown, win rate, average win to loss and time in market. Compare performance across pairs rather than judging a single coin. Use notes to record why you changed a rule. Over time, your process becomes repeatable.
Most traders do better with a handful of robust systems than dozens of fragile ones. Keep one trend follower, one mean reversion setup and one DCA plan. Retire rules that no longer match market conditions. Maintain a clear naming convention so you know what each bot is doing.
Connect an exchange, choose a template and set your risk limits. Start with small size, review the logs and iterate weekly. When you are ready, scale across more pairs and venues with the same rule framework. See /pricing for plan details.
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