Build rule-based stock and ETF strategies in Coinrule and run them 24/7. Connect Alpaca, WeBull, Robinhood or Tradier and automate risk controls.
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Instead of watching charts all day, Coinrule turns your plan into US stock automation that executes the same way every time. Set triggers like buy when price drops 5% from a 20-day high, then place a 2.5% stop loss and a 6% take profit. Connect to Alpaca, Robinhood, WeBull or TradeStation and keep full control of your brokerage account. You get logs, alerts and clear rule logic so you can review what happened and why.
Traders choose rules that match how equities move, including gaps, trend days and mean reversion. Combine time filters, indicator checks and position sizing in one workflow. For example, only trade between 10:00 and 15:30 ET, enter when RSI(14) is below 30 on 1-hour candles, and cap exposure at 8% per ticker. Once live, the system monitors conditions and submits orders automatically, so you do not rely on manual clicks.
On this platform you can run strategies across stocks and ETFs from one dashboard. Link accounts with supported brokers such as Charles Schwab, E*TRADE, Public and Tastytrade, then manage rules with consistent controls. You can pause, clone or schedule bots, and keep a single view of allocations and open orders. Alerts help you stay informed without staring at a terminal.
Rule Templates For Stocks
Templates help you launch quickly, then adjust parameters to fit your risk. Try a trend rule that buys when price closes above MA50 and MA200, and exits on a close below MA50. Or run a weekly DCA that invests $125 every Monday until a max position size is reached. Each template is editable, so you can add filters like volume confirmation or a time stop.
Risk Controls You Can Audit
Every strategy can include guardrails like max daily loss, per-position caps and cooldown timers after a stop. You can set a trailing take profit that tightens from 4% to 2% once unrealized gains exceed 8%. Detailed history makes it easy to audit decisions and refine rules over time.
Opening Range Breakout
Trades the first 15-minute range, then enters on a breakout with a volume filter. Sets a 1.5% stop and a 3% target. Built for intraday momentum days.
Gap Fill Hunter
Finds a premarket gap and enters when price re-enters the prior close zone. Takes profit on a partial fill and exits after 90 minutes. Useful for mean reversion setups.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is 20% above its 20-day average. Exits on the reverse cross or a 2% trailing stop. A clean trend template.
Bollinger Band Mean Reversion
Enters when price closes below the lower band and RSI(14) is under 35. Exits at the middle band or after 3 days. Designed for range-bound markets.
Stop Loss and Trailing Take Profit
Adds a hard stop and a trailing take profit to any entry signal. Example: stop at 2.5%, trail at 3% once price is up 4%. Helps standardize risk.
Opening Range Breakout
Trades the first 15-minute range, then enters on a breakout with a volume filter. Sets a 1.5% stop and a 3% target. Built for intraday momentum days.
Gap Fill Hunter
Finds a premarket gap and enters when price re-enters the prior close zone. Takes profit on a partial fill and exits after 90 minutes. Useful for mean reversion setups.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is 20% above its 20-day average. Exits on the reverse cross or a 2% trailing stop. A clean trend template.
Bollinger Band Mean Reversion
Enters when price closes below the lower band and RSI(14) is under 35. Exits at the middle band or after 3 days. Designed for range-bound markets.
Stop Loss and Trailing Take Profit
Adds a hard stop and a trailing take profit to any entry signal. Example: stop at 2.5%, trail at 3% once price is up 4%. Helps standardize risk.
Portfolio Rebalance
Rebalances a basket back to target weights on a schedule, such as every Friday. Uses 2% drift bands before trading. Keeps allocations consistent with less effort.
Volatility Regime Switcher
Switches between defensive and risk-on rules based on realized volatility. If 10-day vol rises, reduces size and tightens stops. When vol falls, restores sizing.
Support and Resistance Bounce
Buys near a defined support zone after a rejection candle and rising volume. Exits at the next resistance level or on a 1.8% stop. Best in range markets.
Earnings Drift Rider
Enters after earnings when price holds above the post-report high for two closes. Uses a 3% stop and scales out at 5% and 8%. Targets multi-day continuation.
Post-Earnings Mean Reversion
Fades extreme post-earnings moves when price stretches beyond an ATR channel. Exits at VWAP or after two sessions. Uses a tight stop to manage gap risk.
Unlike rigid black-box systems, Coinrule lets you express your logic in plain conditions and actions. You might define: if SPY drops 1.2% intraday and VIX is up more than 6%, reduce exposure by selling 25% of each open position. Or set a rule that buys only when price is above MA200 and ADX is above 20, then exits on the first close below MA50. Add safeguards like max open positions, per-sector caps and cooldown periods. The goal is repeatability, not prediction.
After launching, you can track every order, trigger and fill from a single activity feed. Real-time notifications tell you when a rule fires, when a stop is hit, or when a rebalance completes. If something looks off, pause the bot, adjust parameters and relaunch without rebuilding from scratch. This feedback loop makes systematic trading practical for busy schedules.
Risk controls include position sizing, portfolio limits and automated exits. You can set a max allocation like 12% per ticker and 35% per sector, then let the engine enforce it. Add a daily loss limit, for example stop all new entries if the account is down 2% on the day. For longer-term holdings, use a trailing stop that activates after a 10% gain to avoid getting shaken out early. These guardrails help keep automation disciplined.
Templates work for broad ETFs, single stocks or custom watchlists. Many users start with SPY or QQQ rules, then expand to sector ETFs and a few high-conviction names. You can run multiple bots with different time horizons, such as one intraday rule and one weekly rebalance. Keep strategies separated so performance is easier to evaluate.
Launch BotFAQ
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Rather than promising perfect outcomes, Coinrule focuses on transparent logic and repeatable execution. You can review each condition, order and safeguard before going live.
Traders often pair entry signals with portfolio constraints. For example, allow a maximum of 5 open positions, require at least 3% cash available before any new buy, and block trades during news windows you define. These checks can reduce correlation risk and prevent crowded exposure.
Users iterate faster when each bot has a single job. One rule can handle DCA, another can handle breakouts, and a third can manage rebalancing. When performance changes, you know which logic caused it.
When markets get choppy, filters matter. Add a volatility gate, a trend-strength check, or a time-of-day window to avoid thin liquidity. You can also set a cooldown like: after a stop loss, wait 24 hours before re-entering the same ticker.
Once a first rule behaves as expected, clone it and adjust one variable at a time. Change the stop from 2% to 2.5%, or switch timeframe from 1-hour to 4-hour, then compare results. Over time you build a library of strategies you understand.
Connect a supported broker, pick a template, and set clear risk limits before you go live. Start small, review the logs, and iterate until the behavior matches your intent. Coinrule is built to help you run disciplined strategies with less screen time.
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