Build an AI-style trading agent on Coinrule for stocks and ETFs: define rules, risk limits and schedules, then automate execution through brokers like Alpaca, WeBull and E*TRADE.
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Instead of reacting to every headline, you can turn a plan into repeatable automation. With Coinrule, AI Agent Stock Trading becomes a practical workflow: define signals, size, and exits, then let the engine execute consistently. Connect to Alpaca, WeBull, Charles Schwab or Robinhood and keep control of your brokerage account.
Traders often want an agent that watches markets, follows a playbook and logs every decision. Coinrule does this with rule-based execution: triggers, filters, position sizing and safety checks. You can combine time windows, indicator thresholds and portfolio constraints so the system acts predictably under stress.
Before deploying, you can validate logic with clear conditions and simple iterations. Start with one symbol and one timeframe, then expand to a basket once results look stable. Every change is versionable, so you can clone a rule, adjust one parameter and compare outcomes without guesswork.
Agent-style risk controls
Risk controls include max position size, max daily loss alerts and rule-level cooldowns. For example, you can cap any single stock at 8 percent of equity and stop new entries after two consecutive losses. Add a trailing stop that tightens from 4 percent to 2 percent once profit exceeds 6 percent.
Broker-ready execution
Execution is designed for real accounts: orders route through supported brokers, and the platform keeps an audit trail of triggers, fills and rule outcomes so you can refine the logic with evidence.
Moving Average Scalper
Buys when price reclaims MA20 and MA50 on 15-minute candles. Sells on a close back below MA20 or a 1.2 percent take profit. Adds a 0.8 percent stop loss for tight risk.
MA Crossover with Volume Filter
Enters long when MA50 crosses above MA200 and volume is 20 percent above its 20-day average. Exits on the reverse cross or a 6 percent trailing stop. Designed for trend confirmation.
RSI Oversold Rebound
Buys when RSI drops below 30 on 1-hour candles and price holds above a higher-timeframe MA. Takes profit when RSI exceeds 55. Uses a time stop after 24 hours if momentum fails.
Volatility Breakout
Places a buy when price breaks above the prior day high and ATR is rising. Exits on a close back inside the range or after a 3R move. Works best during earnings season volatility.
Stop Loss and Trailing Take Profit
Opens a position on your chosen signal, then sets a fixed stop loss and a trailing take profit. Example: 2.5 percent stop, 5 percent activation, 1.5 percent trail. Keeps exits systematic.
Moving Average Scalper
Buys when price reclaims MA20 and MA50 on 15-minute candles. Sells on a close back below MA20 or a 1.2 percent take profit. Adds a 0.8 percent stop loss for tight risk.
MA Crossover with Volume Filter
Enters long when MA50 crosses above MA200 and volume is 20 percent above its 20-day average. Exits on the reverse cross or a 6 percent trailing stop. Designed for trend confirmation.
RSI Oversold Rebound
Buys when RSI drops below 30 on 1-hour candles and price holds above a higher-timeframe MA. Takes profit when RSI exceeds 55. Uses a time stop after 24 hours if momentum fails.
Volatility Breakout
Places a buy when price breaks above the prior day high and ATR is rising. Exits on a close back inside the range or after a 3R move. Works best during earnings season volatility.
Stop Loss and Trailing Take Profit
Opens a position on your chosen signal, then sets a fixed stop loss and a trailing take profit. Example: 2.5 percent stop, 5 percent activation, 1.5 percent trail. Keeps exits systematic.
Portfolio Rebalance
Rebalances a stock and ETF basket back to target weights on a weekly schedule. Adds drift bands, such as rebalance only if allocation deviates by 3 percent. Helps control concentration risk.
Opening Range Breakout
Trades the first 30 minutes: buys if price breaks above the opening range with a volume spike. Sells at a fixed time or on a break back into the range. Adds a tight stop under the range low.
Gap Fill Hunter
Looks for overnight gaps and enters when price starts filling the gap with improving momentum. Exits at the prior close level or on a failed fill. Uses a max hold time to avoid chop.
Earnings Drift Rider
Enters after earnings when price holds above a breakout level for two sessions. Scales out at 4 percent and 8 percent targets. Protects with a trailing stop to capture post-earnings drift.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35 on 4-hour candles. Sells at the middle band or when RSI reaches 50. Adds a volatility filter to avoid catching crashes.
Unlike black-box promises, Coinrule keeps every decision legible: you see the trigger, the filter and the order that followed. You might require RSI below 35, then only buy if MA100 is rising, and finally size the trade at 2 percent of equity. That is how an agent stays accountable.
Every bot needs sizing rules that match your risk tolerance. Set fixed dollar amounts, percent-of-equity sizing or allocation caps across a watchlist. You can also prevent overtrading by limiting entries to one per symbol per day and enforcing a minimum 6-hour cooldown after an exit.
Connect your automation to brokers used by active retail traders, including Trading212, E*TRADE, Public and TradeStation. Keep your workflow in one place: signals, orders and monitoring. If you manage multiple accounts, separate rules by portfolio so each strategy stays clean and measurable.
When markets get noisy, the best advantage is consistency. Start with one strategy, one symbol and one exit rule, then expand. Review logs weekly, adjust one parameter at a time and keep what improves stability. This is how systematic trading compounds learning.
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Rules can evolve, but they should not chase every recent candle. Use small parameter ranges, like RSI 28 to 35, and keep timeframes consistent. If you change three things at once, you will not know what helped. Treat improvements like experiments.
Stocks can gap through stops, so plan for it. Use smaller position sizes around earnings, add time-based exits and avoid holding illiquid names overnight. A simple filter like skip entries when the daily gap exceeds 4 percent can reduce surprise risk.
Separate strategies by intent: trend, mean reversion and rebalance. Give each a max allocation, such as 25 percent per style, so one regime does not dominate. Review correlation across holdings and avoid stacking the same exposure across multiple rules.
You do not need to stare at charts all day. Set alerts for fills, drawdowns and rule pauses, then check a daily summary. If a rule triggers too often, add a cooldown or tighten filters. Consistency comes from process, not screen time.
Automation shines when your edge is repeatable and your risk rules are clear. Manual trading still matters for discretionary research and rare events. Many users combine both: the system handles entries and exits, while they decide what symbols belong in the universe.
Pick one setup, define the exact trigger, then define the exact exit. Go live with small size for two to four weeks, then expand to more symbols only after the behavior matches your expectations. Coinrule gives you the structure to build confidence through repetition.
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