Due to the Markets in Crypto-Assets Regulation (MiCA), Coinrule does not currently serve customers located in the European Union or European Economic Area.Not available to EU/EEA users under MiCA. Learn more
Build AI-driven stock and ETF automation that connects to moomoo and other brokers. Describe a strategy in plain English, let the AI agent turn it into executable rules, and run it with alerts, risk limits and repeatable execution - no coding required.
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Instead of watching charts all day, Coinrule lets you run a moomoo bot that follows your rules for entries, exits and position sizing. Describe a setup in plain English, such as "buy 2 percent when RSI drops below 30 on 1H candles, then place a 3 percent stop and a 6 percent take profit", and the AI agent translates it into executable rules. You keep control of your moomoo account while the engine executes systematically.
Traders often split activity across moomoo, Alpaca, Webull and Public, which makes consistency hard. Coinrule centralizes your logic so the same AI-generated rule set can be deployed, paused or cloned on any connected broker without rewriting anything. You can separate strategies by watchlist, timeframe and risk budget, then monitor them from one dashboard. Alerts and logs show what fired, when it fired and why.
Unlike black-box systems, this platform is built around clear if-then logic that the AI agent writes for you and you can read. You might ask for a breakout rule that buys when price closes above the 20-day high and volume is 1.5x the 20-day average, then trails a stop by 2.5 percent. Or run a mean-reversion rule that scales in 3 tranches at -2 percent, -4 percent and -6 percent from a moving average. Each AI-generated rule is editable, testable and easy to audit before it ever touches your moomoo account.
Risk controls and guardrails
Risk comes first: cap per-trade exposure, set max open positions and add a daily loss limit. For example, stop new entries if drawdown hits 2 percent in a day, or if a single symbol exceeds 12 percent of portfolio value. Use time stops to exit after 10 trading days if a thesis does not play out. These guardrails help keep automation disciplined.
Templates to start faster
Browse templates for DCA, trend following and rebalancing, or let the AI agent draft one from a single prompt, then adapt it to your tickers and schedule. Clone a rule, change the timeframe from daily to 4H, and adjust thresholds without touching code. When you are ready, run it with notifications and a full execution history for review.
Buy the Dips
Buys after a defined pullback, like -5 percent from a 20-day high. Confirms with RSI below 35. Exits on a rebound to the moving average or a fixed take profit.
Grid Trading
Places staggered buys and sells inside a price range. Uses equal spacing or percent steps like 1 percent. Stops the grid if price breaks the range by a set threshold.
MA Crossover with Volume Filter
Enters when a fast MA crosses above a slow MA and volume is above its 20-day average. Exits on the cross back or a trailing stop. Designed to avoid low-volume whipsaws.
RSI Oversold Rebound
Buys when RSI drops below 30 on 1H or 4H candles. Sells when RSI recovers above 55. Adds a protective stop like 2.5 percent to limit downside.
Stop Loss and Trailing Take Profit
Opens a position on your chosen trigger, then sets a fixed stop. Switches to a trailing take profit after price moves in your favor, like trail 1.5 percent once up 4 percent. Helps lock gains without guessing tops.
Buy the Dips
Buys after a defined pullback, like -5 percent from a 20-day high. Confirms with RSI below 35. Exits on a rebound to the moving average or a fixed take profit.
Grid Trading
Places staggered buys and sells inside a price range. Uses equal spacing or percent steps like 1 percent. Stops the grid if price breaks the range by a set threshold.
MA Crossover with Volume Filter
Enters when a fast MA crosses above a slow MA and volume is above its 20-day average. Exits on the cross back or a trailing stop. Designed to avoid low-volume whipsaws.
RSI Oversold Rebound
Buys when RSI drops below 30 on 1H or 4H candles. Sells when RSI recovers above 55. Adds a protective stop like 2.5 percent to limit downside.
Stop Loss and Trailing Take Profit
Opens a position on your chosen trigger, then sets a fixed stop. Switches to a trailing take profit after price moves in your favor, like trail 1.5 percent once up 4 percent. Helps lock gains without guessing tops.
Portfolio Rebalance
Rebalances to target weights on a schedule, such as weekly. Sells overweight positions and buys underweight ones. Adds tolerance bands like +/-2 percent to reduce churn.
Volatility Breakout
Enters when price breaks above an ATR-based channel. Uses ATR to size stops and targets, like 1.2x ATR stop and 2x ATR take profit. Avoids trades when volatility is below a minimum.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI confirms weakness. Exits at the middle band or upper band depending on risk. Adds a time stop to avoid dead money trades.
Support and Resistance Bounce
Buys near a defined support zone after a rejection candle. Sells into resistance or on a break of support by a set percent. Works best with clear ranges and strict stops.
Opening Range Breakout
Defines the first 15-30 minutes as the opening range. Buys on a break above the range high with confirmation. Exits with a trailing stop or at a fixed multiple of risk.
Once you know the setup, building a moomoo bot in Coinrule is a short workflow: describe the idea to the AI agent or pick a template, select tickers, confirm thresholds, then add risk limits. A practical example is a weekly DCA: invest 125 dollars every Monday, pause if the price is above the 200-day moving average by 8 percent, and resume when it normalizes. Another is a trend rule: buy on MA20 above MA50, sell on the first close below MA50, and trail by 2 percent. You can review every trigger in the log before scaling up.
After launching, you can pause rules, adjust thresholds and set notifications without disrupting the rest of your system. Use separate rule groups for long-term investing and shorter-term tactical trades. If a market regime changes, clone the strategy and test a tighter stop or a slower timeframe. The goal is repeatability, not constant manual intervention.
Many users start with moomoo, then add other brokers for specific products or regions. Coinrule is designed to keep your AI strategies portable across venues like Webull, Alpaca, Public and E*TRADE. That means your process stays stable even if you change where you place orders. See /automated-trading for more on how the rule engine works.
You stay in control of your accounts and can revoke access at any time. Every rule the AI agent proposes is shown to you before it runs, and the platform focuses on rule-based execution, detailed logs and alerting so you can audit behavior quickly. Use allocation caps, symbol blacklists and cooldown timers to prevent overtrading. Always test with small size before expanding.
Build Strategy
FAQ
Emma T.
Marco P.
David M.
Priya K.
Lars H.
Yuki T.
Busy traders often automate the boring parts: scheduled buys, protective exits and rebalancing. A simple routine is to rebalance monthly, but only if drift exceeds 2 percent to avoid unnecessary trades. Another is to pause new entries during earnings week for a ticker, then resume after volatility normalizes. These small rules reduce decision fatigue.
Treat each strategy like a versioned playbook. Keep one conservative rule set for core holdings and a separate sandbox for experiments. When an experiment works, clone it and tighten risk parameters before increasing size. This approach keeps learning structured.
Automation should respect liquidity and slippage. Use limit orders where appropriate, add price buffers like 0.2 percent and avoid trading during illiquid windows. You can add cooldowns so a rule cannot re-enter for 60 minutes after an exit. These details often improve real-world performance more than new indicators.
Every trigger should be explainable. Coinrule records conditions, timestamps and actions so you can audit behavior after the fact. If a stop triggers too often, you can see whether volatility expanded or your timeframe was too short. That makes iteration practical.
Many profitable approaches are boring: DCA, trend filters and strict stops. Start with one or two rules, then add complexity only if it improves results. A clean setup is easier to monitor and easier to trust. Consistency beats constant tinkering.
Describe a strategy in plain English or start with a template, connect your moomoo account and run one rule with tight limits. Review the log after the first week, then iterate with one change at a time. If you want more examples, explore /templates to see how other traders structure rules. Build a process you can repeat.
Get StartedCoinrule is not a regulated financial institution and does not provide investment advice. Trading cryptocurrencies, stocks, and ETFs involves significant risk, and past performance is not indicative of future results. Any performance figures shown are illustrative only. You are solely responsible for your trading decisions and outcomes. Coinrule accepts no liability for any direct or indirect losses arising from the use of its software. Community or user-generated content does not constitute financial advice. Always review our Terms of Service before trading and seek independent professional advice if necessary.
Coinrule’s services are not available to residents of the European Union or the European Economic Area. In light of the Markets in Crypto-Assets Regulation (MiCA), Coinrule does not onboard or serve customers located in the EU or EEA, and nothing on this website constitutes an offer or solicitation to persons in those jurisdictions.
