Build rules to trade and rebalance future-tech ETF baskets with Coinrule. Automate entries, exits and risk controls across brokers with logs and alerts.
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Instead of reacting to headlines, automate Future tech ETFs with rules that follow your plan. Coinrule lets you define entries, exits and rebalancing logic, then executes through brokers like Alpaca, Robinhood and TradeStation.
Trends in robotics, AI infrastructure and semiconductors can surge, then mean-revert hard. The platform helps you express that behavior with triggers like moving averages, RSI and time-based schedules. Run a momentum sleeve for breakouts and a defensive sleeve that trims risk when volatility expands. Every action is logged so you can review what the system did and why.
Start with one ticker, then scale to a basket without rewriting everything. Clone a rule, swap the symbol, and keep the same risk settings. Add allocation caps so no single position dominates the portfolio. When you are ready, schedule periodic rebalances to keep weights aligned with your thesis.
Broker-Connected Execution
Connect your existing brokerage and keep your account structure intact. Coinrule can run the same logic across Trading212, Charles Schwab, E*TRADE and Tradier, depending on where you hold ETFs. You control permissions and can pause automation at any time.
Risk Controls First
Set guardrails like max position size, max daily loss and cooldown timers after a stop. Add alerts for unusual gaps so you can review before the next scheduled action. Use staged exits to reduce whipsaw when price chops around your signal.
Portfolio Rebalance
Rebalances a tech basket back to target weights weekly. Trims any holding above 28 percent back to target. Skips when drift is under 1 percent to reduce churn.
Sector Momentum Switcher
Rotates into the strongest sector proxy when 50MA is above 200MA and RSI is above 55. Shifts defensive when RSI drops below 45. Checks signals on daily candles.
MA Crossover with Volume Filter
Buys when 20MA crosses above 50MA and volume is 20 percent above its 20-day average. Sells when the cross reverses. Uses a 3 percent stop to cap downside.
Stop Loss and Trailing Take Profit
Enters on a breakout trigger, then sets a 4 percent stop loss. Trails profit by 2.5 percent once price is up 6 percent. Exits if the trailing stop is hit.
Volatility Regime Switcher
Cuts exposure when 14-day ATR rises 25 percent above its 60-day average. Restores allocation after volatility normalizes for 5 sessions. Built to avoid chop during stress.
Portfolio Rebalance
Rebalances a tech basket back to target weights weekly. Trims any holding above 28 percent back to target. Skips when drift is under 1 percent to reduce churn.
Sector Momentum Switcher
Rotates into the strongest sector proxy when 50MA is above 200MA and RSI is above 55. Shifts defensive when RSI drops below 45. Checks signals on daily candles.
MA Crossover with Volume Filter
Buys when 20MA crosses above 50MA and volume is 20 percent above its 20-day average. Sells when the cross reverses. Uses a 3 percent stop to cap downside.
Stop Loss and Trailing Take Profit
Enters on a breakout trigger, then sets a 4 percent stop loss. Trails profit by 2.5 percent once price is up 6 percent. Exits if the trailing stop is hit.
Volatility Regime Switcher
Cuts exposure when 14-day ATR rises 25 percent above its 60-day average. Restores allocation after volatility normalizes for 5 sessions. Built to avoid chop during stress.
Minimum Variance Rebalance
Targets a lower-vol mix by trimming the most volatile holding each month. Adds to the least volatile holding if it stays within 2 percent of its trend filter. Uses monthly candles.
Buy the Dips
Adds on pullbacks: buys when price drops 5 percent from the 10-day high. Takes profit at 6 percent and stops at 3 percent. Limits to two adds per week.
RSI Oversold Rebound
Buys when RSI falls below 30 on 4-hour candles and price is above the 200MA. Sells when RSI reaches 55. Exits after 10 candles if momentum fails.
Breakout + Retest
Buys after a 20-day high breakout, then waits for a retest within 1.5 percent of the breakout level. Exits if price closes back inside the range. Uses daily closes.
Risk-On/Risk-Off Macro Switch
Allocates to growth when the trend filter is positive and drawdown is under 6 percent. Switches to a cash-like sleeve when drawdown exceeds 8 percent. Rechecks conditions daily.
Once you define your basket, decide what should trigger changes: time, drift or signals. A common approach is monthly rebalancing plus a drift rule that trims any position above 30 percent weight. You can also add a momentum overlay that increases exposure only when the 50-day average stays above the 200-day average. These rules help you avoid overtrading while still reacting to regime shifts.
Rather than vague themes, write conditions you can measure. Example: buy 25 percent of your intended size when RSI(14) drops below 35 on daily candles, then add the remaining 75 percent if price recovers above the 20-day MA. Another example: take partial profits at +8 percent and move the stop from 4 percent to 2 percent once the position is up 10 percent. Coinrule records each trigger so you can iterate without guessing.
Risk controls include hard stops, trailing exits and exposure caps across the whole account. You might set a rule that pauses new buys for 48 hours after two stop-outs in the same week. Add a max correlation constraint by limiting how many highly related holdings can be increased at once. If a gap opens beyond 2.5 percent at the open, route the action to an alert-first workflow instead of immediate execution. These guardrails keep the system disciplined when markets move quickly.
Unlike manual tracking, the engine keeps one view of positions, rules and performance. Run the same strategy logic across Public, Tastytrade and WeBull if you split accounts. Use tags to separate long-term allocations from tactical sleeves.
Explore ToolsFAQ
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After you pick a thesis, separate research from execution. Use automation for the repetitive parts: scheduled buys, trims and risk checks. Keep discretionary changes limited to planned review windows.
Templates give you a baseline for momentum, dip-buying and risk-off switches. Swap symbols, adjust thresholds and set position sizing to match your account. Start small, then scale once behavior matches expectations.
Every strategy needs sizing logic. Consider fixed-dollar entries, percent-of-cash entries or volatility-based sizing. For example, cap any single buy to 2 percent of account value and any single position to 15 percent.
Use least-privilege access and review connected apps periodically. Turn on notifications for rule edits and large orders. Keep an emergency stop rule that halts new entries when a drawdown threshold is hit.
Measure results in trending, choppy and high-volatility periods. Compare a pure rebalance approach versus a trend-filtered approach. Review turnover, max drawdown and time in market, not just returns.
Build a basket, set your rules, and let the engine handle routine execution while you focus on research and risk. Start with one template, paper-test the logic, then go live when you are comfortable.
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