Build rule-based workflows for industrial sector ETFs on Coinrule. Automate entries, exits, DCA and rebalancing via Alpaca, Tradier, Robinhood and E*TRADE.
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Instead of manually tracking sector moves, Industrial ETF automation on Coinrule turns your plan into repeatable rules. Connect Alpaca, Tradier or Robinhood, set triggers, and let the system place orders on schedule or on signals.
Sector funds can trend for months, then chop for weeks. The platform lets you combine time-based investing with indicator filters so you do not overtrade. For example, buy only when price is above the 200-day moving average and volatility stays below your threshold.
Start with one ticker, then expand into a basket with caps per position. Set a max allocation like 25 percent to any single fund, and keep a cash buffer for new signals. Every rule is logged so you can review what fired and why.
Risk Controls For ETF Rules
Define position sizing, cooldown timers and portfolio-level limits before the first order. Add a hard stop like 6 percent below entry, then a trailing take profit that tightens to 2 percent once gains exceed 8 percent. These controls keep automation disciplined during fast sector rotations.
Broker Connected Execution
Coinrule routes orders through your connected broker account so you keep custody and visibility. You can pause, clone or schedule strategies, and keep one dashboard for allocations and open orders across accounts.
Portfolio Rebalance
Rebalances an ETF basket back to target weights weekly. Adds to underweight positions when drift exceeds 3 percent. Trims overweight exposure to keep risk consistent.
Buy the Dips
Buys after a 5 percent pullback from a 10-day high. Confirms with daily RSI below 40. Exits on a recovery to the prior range or a trailing stop.
DCA Accumulator
Splits a monthly budget into weekly buys at a fixed time. Optionally pauses if price is below the 200-day MA. Keeps investing consistent without timing each entry.
Stop Loss and Trailing Take Profit
Sets a stop loss at 4 to 7 percent based on your risk. Switches to a trailing take profit once the position is up 6 percent. Helps protect gains during reversals.
MA Crossover with Volume Filter
Enters when the 50-day MA crosses above the 200-day MA. Confirms with above-average volume to filter weak signals. Exits on a bearish crossback.
Portfolio Rebalance
Rebalances an ETF basket back to target weights weekly. Adds to underweight positions when drift exceeds 3 percent. Trims overweight exposure to keep risk consistent.
Buy the Dips
Buys after a 5 percent pullback from a 10-day high. Confirms with daily RSI below 40. Exits on a recovery to the prior range or a trailing stop.
DCA Accumulator
Splits a monthly budget into weekly buys at a fixed time. Optionally pauses if price is below the 200-day MA. Keeps investing consistent without timing each entry.
Stop Loss and Trailing Take Profit
Sets a stop loss at 4 to 7 percent based on your risk. Switches to a trailing take profit once the position is up 6 percent. Helps protect gains during reversals.
MA Crossover with Volume Filter
Enters when the 50-day MA crosses above the 200-day MA. Confirms with above-average volume to filter weak signals. Exits on a bearish crossback.
Volatility Regime Switcher
Reduces exposure when realized volatility rises above a set band. Re-adds risk when volatility normalizes for 10 sessions. Useful for avoiding whipsaws in choppy markets.
Minimum Variance Rebalance
Shifts weights toward lower-vol holdings in your basket monthly. Caps any single position at 30 percent. Aims for smoother drawdowns rather than maximum upside.
Sector Momentum Switcher
Rotates into the strongest sector ETF based on 3-month relative strength. Requires the leader to be above its 100-day MA. Rotates out when leadership changes.
Breakout + Retest
Buys after price breaks a 20-day high and then retests within 1 percent. Uses a time stop if the retest fails within 5 sessions. Exits with a trailing stop on continuation.
Mean Reversion with Z-Score
Buys when Z-score drops below -1.5 on a rolling window. Sells when it mean reverts to 0 or hits a risk stop. Designed for range-bound periods.
Traders often want industrial exposure to stay within a band, not drift with every rally. With Industrial ETF automation, set targets like 15 percent industrials, 10 percent energy and 5 percent cash, then rebalance when any sleeve moves 2.5 percent from plan. Schedule checks weekly or only after a large move. This keeps your portfolio aligned without constant manual math.
When RSI crosses below 30 on 4-hour candles, buy 2 percent of available cash. If price drops 5 percent in 3 days, add another 1 percent, but only once per week. If the position rises 10 percent from average entry, activate a 3 percent trailing stop to lock in gains.
Schedule rules to run at the open, near the close or at a fixed midday check. Add a time window so orders only fire between 10:00 and 15:30 ET to avoid the first and last minute noise. If a signal triggers outside the window, the system can queue it for the next session. This keeps behavior predictable and auditable.
Get real-time notifications when a rule triggers, an order fills or a limit is hit. Pause one strategy without stopping the rest of your portfolio. Review logs to see the exact condition that fired, then iterate safely.
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Rather than reacting to every sector headline, define what matters and ignore the rest. Use trend filters to stay aligned with the bigger move, and mean reversion rules to scale in when price stretches. The goal is repeatable execution you can evaluate over months, not days.
Start with position sizing and maximum exposure, then add entries. A simple rule like 1 percent per buy with a 10 percent cap per ETF prevents accidental concentration. Pair that with a portfolio drawdown limit so the system pauses if losses exceed your threshold.
Automation can increase trading frequency if you let it. Use cooldowns, minimum move filters and scheduled rebalances to reduce churn. Many investors prefer weekly or monthly checks for ETFs to keep turnover reasonable.
If you run multiple broker accounts, keep strategies organized by goal: core allocation, tactical tilt and hedges. Clone a rule, change only the ticker list, and maintain consistent risk settings. This makes your workflow scalable as your portfolio grows.
Every trigger and order is recorded so you can audit behavior. If a rule misfires, adjust the condition and relaunch without rebuilding from scratch. Alerts keep you informed without forcing you to watch the market all day.
Pick a template, connect your broker, and set three numbers: position size, stop level and rebalance threshold. Paper trade first, then go live when you are comfortable. Once it runs smoothly, expand to a basket and let the system handle routine work.
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