Design an AI-powered ETF automation workflow in Coinrule with rule-based entries, exits and rebalancing. Connect Alpaca, Tradier, Robinhood and TradeStation.
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Instead of watching charts all day, an AI ETF trading system can translate your ETF thesis into rules that execute consistently. In Coinrule, you define triggers, position sizing and risk limits, then let automation handle routine decisions through your connected broker.
Traders use the builder to combine signals like moving averages, RSI and time windows into one workflow. Add guardrails such as max allocation per ETF, cooldowns after a stop and alerts when exposure drifts. The result is systematic execution you can audit, not a black box.
Connect ETF trading through Tradier, Alpaca, Robinhood, TradeStation or E*TRADE, then manage strategies from one place. Performance views show what each rule did, when it fired and how risk controls behaved. That makes it easier to iterate without overfitting to one week of data.
Risk-First Automation
Risk controls include hard stops, trailing exits and portfolio caps so one idea cannot dominate the account. For example, cap any single ETF at 20% of equity and pause new entries after a 6% daily drawdown. Logs and notifications keep you informed without constant screen time.
ETF Portfolio Workflows
Users often combine trend rules for broad index ETFs with defensive rotations when volatility rises. Schedule weekly rebalances, set cash buffers and route orders as market or limit depending on liquidity. The system stays rules-based even when headlines get noisy.
Portfolio Rebalance
Rebalances a basket weekly to target weights. Uses a 2% drift band to avoid overtrading. Alerts if any holding exceeds 25%.
MA Crossover with Volume Filter
Buys when a fast MA crosses above a slow MA and volume is above its 20-day average. Exits on crossback or a 4% stop. Best on daily candles.
Volatility Regime Switcher
When volatility rises above a threshold, shifts from risk-on ETFs to defensive ones. Returns to growth exposure after 3 calmer sessions. Adds a cooldown to reduce churn.
Risk-On/Risk-Off Macro Switch
Rotates between equity and defensive exposure using trend and drawdown rules. Switches defensive after a 5% drop in 10 days. Switches back after price recovers above MA50.
Minimum Variance Rebalance
Targets lower portfolio variance by adjusting weights on a schedule. Uses max weight limits per ETF and a cash buffer. Rebalances only when drift exceeds 1.5%.
Portfolio Rebalance
Rebalances a basket weekly to target weights. Uses a 2% drift band to avoid overtrading. Alerts if any holding exceeds 25%.
MA Crossover with Volume Filter
Buys when a fast MA crosses above a slow MA and volume is above its 20-day average. Exits on crossback or a 4% stop. Best on daily candles.
Volatility Regime Switcher
When volatility rises above a threshold, shifts from risk-on ETFs to defensive ones. Returns to growth exposure after 3 calmer sessions. Adds a cooldown to reduce churn.
Risk-On/Risk-Off Macro Switch
Rotates between equity and defensive exposure using trend and drawdown rules. Switches defensive after a 5% drop in 10 days. Switches back after price recovers above MA50.
Minimum Variance Rebalance
Targets lower portfolio variance by adjusting weights on a schedule. Uses max weight limits per ETF and a cash buffer. Rebalances only when drift exceeds 1.5%.
ADX Trend Strength Filter
Enters trend positions only when ADX is above 25 to avoid chop. Exits when ADX falls below 18 or price hits a trailing stop. Designed for 4H to daily charts.
Stop Loss and Trailing Take Profit
Sets a fixed stop, then trails profit once price is up 3%. Tightens the trail as gains exceed 8%. Helps lock in trends with less monitoring.
Momentum Pullback
Buys pullbacks in an uptrend when price dips 2% to 4% from a recent high. Confirms with RSI staying above 45. Exits on a break below the prior swing low.
Volatility Targeted Trend
Sizes positions to target a steady volatility level. Reduces exposure when realized volatility spikes. Keeps trend entries but adapts risk automatically.
Sector Momentum Switcher
Ranks sector ETFs by recent performance and rotates into the top group. Rechecks weekly and replaces laggards. Adds a max turnover rule to limit trading costs.
Unlike discretionary ETF trading, automation forces you to define what must be true before you act. A practical rule could be: buy when MA20 crosses above MA50 on daily candles, but only if ADX is above 25 and the position is under 15% of equity. Add an exit that sells half at +6% and trails the rest by 2.5%. These constraints make results easier to evaluate and improve.
Every bot should have a reason to exist in different market regimes. Use separate rules for trend, range and risk-off periods, then compare them over the same dates. Coinrule makes it simple to clone a strategy, change one parameter and track the impact. That workflow helps you avoid random tweaks driven by the last trade.
For liquid ETFs, market orders may be fine, but limit orders can reduce slippage in fast moves. Define time windows, such as trading only during the first 90 minutes of the session, or avoiding the last 10 minutes. Example: if price gaps down 3% at the open, wait 15 minutes, then enter only if it reclaims the opening range. Small rules like these often improve consistency.
Your broker account stays in your name while Coinrule sends instructions through secure connections. Pause, edit or disable rules at any time, and decide which assets and order types are allowed. Start with read-only monitoring, then go live when behavior matches your plan.
Launch BotFAQ
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Treat intelligent automation as a way to structure decisions, not to outsource responsibility. Write down entry, exit and risk assumptions in plain language, then encode them as rules you can verify. Change one variable at a time and measure the difference.
Templates give you a baseline for trend, mean reversion and rotation styles. Adapt them to ETFs by adjusting timeframes, widening stops and reducing turnover. Save versions so you can compare outcomes across the same market period.
Notifications keep you informed without reacting to every candle. Set alerts for rule triggers, drawdown thresholds and exposure drift. Review weekly metrics like hit rate, average win and average loss.
Once a single rule is stable, expand carefully. Add a second ETF with different behavior, such as a defensive or low-vol fund, and keep the same risk budget. Use portfolio caps so correlations do not surprise you, and rebalance on a schedule.
To go deeper, see /automated-trading for rule design patterns and /templates for proven structures. Then review /pricing to match plan limits to your number of strategies. Aim for a small set of rules you understand well.
Connect a supported broker, choose a template and define risk limits before the first live order. Keep it simple, review results weekly and iterate with discipline. Coinrule is built for systematic execution across stocks and ETFs without coding.
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