Create a rule-based NYSE trading bot with Coinrule to automate stock and ETF entries, exits and risk controls without coding, with clear logs and alerts.
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Brokers Connected
Instead of reacting to every headline, an NYSE trading bot on Coinrule follows your playbook with consistent, rule-based execution. Connect your broker, set triggers, and let the system handle entries, exits and alerts while you stay in control.
Choose where you want to trade and connect through supported brokers like WeBull, Alpaca, TradeStation, E*TRADE and Robinhood. Keep everything in one interface to monitor positions, pause rules and review execution logs without juggling tabs. Because the platform is non-custodial, your assets remain with your broker while automation runs through secure connections. Start with a single ticker, then expand to ETFs once your process is stable.
Equities can gap, trend and mean-revert in ways that demand clear session logic. Use opening range conditions, time filters and volatility thresholds to avoid noisy periods. Add confirmations like volume, moving averages or ATR bands to reduce false signals. Every condition is explicit, so you can audit why an order fired and refine the logic with confidence.
Session-Aware Automation
Set schedules so rules run only during regular market hours, or only on specific weekdays. Add alerts for events like a 2.5% intraday drop or a new 20-day high, then choose auto-entry or notification only. Use allocation caps such as max 8% per symbol and max 35% in one sector basket. These guardrails help keep systematic trading disciplined when volatility spikes.
Risk Controls Built In
Risk tools include stop loss, trailing take profit, cooldown timers after a fill and portfolio-level exposure limits. You can require multiple confirmations, like price above MA200 and volume above its 20-day average, before any order is sent. When conditions change, the system records each decision in logs so you can review and iterate. For more on automation basics, see /automated-trading.
Opening Range Breakout
Buys when price breaks the first 15-minute range with volume above the 20-period average. Sets a 1.5% stop loss. Takes profit at 3% or trails by 1% after the move.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is 1.2x the 20-day average. Exits on the reverse cross. Closes after 10 trading days if price stays flat.
VWAP Reversion Scalper
Buys when price is 1% below VWAP and RSI(14) is under 35 on 5-minute candles. Sells on a return to VWAP or RSI above 55. Uses a 0.6% stop.
Stop Loss and Trailing Take Profit
Opens after a breakout signal, then sets a fixed 2% stop loss. When profit exceeds 4%, switches to a 1.2% trailing take profit. Designed to protect gains in fast moves.
Donchian Channel Turtle
Buys on a 20-day high breakout on daily candles. Exits on a 10-day low or an ATR-based stop. Built for longer swing trends in liquid names.
Opening Range Breakout
Buys when price breaks the first 15-minute range with volume above the 20-period average. Sets a 1.5% stop loss. Takes profit at 3% or trails by 1% after the move.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is 1.2x the 20-day average. Exits on the reverse cross. Closes after 10 trading days if price stays flat.
VWAP Reversion Scalper
Buys when price is 1% below VWAP and RSI(14) is under 35 on 5-minute candles. Sells on a return to VWAP or RSI above 55. Uses a 0.6% stop.
Stop Loss and Trailing Take Profit
Opens after a breakout signal, then sets a fixed 2% stop loss. When profit exceeds 4%, switches to a 1.2% trailing take profit. Designed to protect gains in fast moves.
Donchian Channel Turtle
Buys on a 20-day high breakout on daily candles. Exits on a 10-day low or an ATR-based stop. Built for longer swing trends in liquid names.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI(14) is below 30 on 1-hour candles. Sells at the middle band. Skips trades when volatility expands beyond a set threshold.
Earnings Drift Rider
After earnings, enters if price holds above the post-release high for 2 sessions. Exits on the first close below MA10. Adds a max holding period of 15 trading days.
Gap Fill Hunter
On gap days, enters when price retraces 50% of the opening gap with declining volume. Takes profit near the prior close. Uses a hard stop beyond the gap extreme.
ATR Channel Breakout
Buys when price closes above an ATR channel by 0.5 ATR on daily candles. Exits when it closes back inside the channel. Caps risk per trade with position sizing rules.
Support and Resistance Bounce
Buys near a defined support zone after two failed breakdown attempts. Confirms with RSI crossing above 40 on 30-minute candles. Sells at resistance or exits on a 1.8% stop.
Traders often start simple, then add precision. Example 1: buy when RSI(14) drops below 30 on 1-hour candles, then sell when RSI rises above 55. Example 2: enter if price breaks the opening 15-minute high and volume is 1.5x the 20-period average, with a 1.5% stop loss. Example 3: invest $500 per month as four $125 weekly buys into an ETF, and pause the schedule if price is below MA200. These are the kinds of rules an NYSE trading bot can run consistently.
Once a rule is live, clone it and test variations without disrupting the original. Compare a 1% trailing stop versus 1.5%, or change RSI thresholds from 30-55 to 35-60. Use logs to see which condition triggered each order and whether filters reduced false signals. This workflow helps you improve process instead of chasing outcomes.
Portfolio automation is not just single-ticker trading. Rebalance a basket monthly, cap exposure to any one symbol and keep a cash buffer for drawdowns. If you run multiple strategies, group them by theme like trend, mean reversion and DCA so you can pause a whole sleeve quickly. For allocation ideas, see /portfolio-management.
Every bot should have clear limits. Use API permissions that allow trading but restrict withdrawals, and review them regularly. Add global kill switches, cooldowns after fills and max daily trade counts to reduce runaway behavior. The platform is designed so you keep custody with your broker while the engine executes your rules.
Build BotFAQ
Marco P.
Sarah K.
Lars H.
Priya K.
Diego R.
Yuki T.
When markets open, spreads and volatility can change fast. Use session scheduling, opening range logic and end-of-day rules to avoid low-quality fills. Add a no-trade window around major announcements if you prefer. The goal is controlled execution, not constant activity.
Start with one liquid symbol and define what a valid setup looks like. Then replicate the same logic across a watchlist with per-symbol caps. This helps you scale without turning your strategy into a fragile spreadsheet. Consistency comes from repeatable rules.
Every action is recorded so you can audit decisions. Set alerts for fills, stop hits and drawdown thresholds so you are not surprised. If something looks off, pause the rule and adjust conditions. That feedback loop is the edge.
Use fixed stops for strict control, or trailing exits for trend capture. Add time stops to avoid dead money trades and cooldowns to prevent rapid re-entry. Combine symbol limits with portfolio limits so one idea cannot dominate. These controls matter more than fancy signals.
Beyond entries and exits, automate rebalancing, staged buying and defensive switches when volatility rises. Many traders run a trend sleeve plus a mean-reversion sleeve and separate them with allocation rules. If you want a broader overview, see /trading-bots.
Define a simple trigger, add a stop and set a schedule. Then iterate using logs instead of gut feel. Coinrule makes systematic stock and ETF automation approachable without removing your control.
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