Automate robotics ETF strategies with Coinrule using rule-based entries, exits and rebalancing. Connect Alpaca, WeBull, Robinhood or Schwab in minutes.
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Instead of chasing headlines, Robotics ETF trading can run on clear triggers and guardrails in Coinrule. Set rules like buy 1x when price closes above the 50-day MA, then exit if it falls 3% below the 20-day MA. Connect to WeBull, Charles Schwab, Alpaca or Robinhood and let the engine execute consistently.
ETFs often trend smoothly, then gap on macro news. Coinrule lets you combine time-based checks with indicator filters so you do not overtrade. For example, require RSI below 35 on daily candles before adding, and cap adds to 2 buys per week to reduce churn.
Traders rarely hold one position forever. Build a basket workflow that rotates between a robotics fund and a broad market ETF using relative strength, then rebalance monthly. You can pause new entries during earnings-heavy weeks with a calendar rule while keeping exits active.
ETF Risk Controls
Risk rules are first-class in Coinrule. Set a hard stop like -4% from entry, then add a trailing take profit that tightens from 6% to 3% once the position is up 10%. Add an allocation cap so the bot never exceeds 25% of your account in one theme.
Broker Connected Execution
Once connected, the platform monitors your conditions and sends orders to your broker automatically. You can run the same logic across multiple accounts, clone rules for testing and review every action in a clean audit log.
MA Crossover with Volume Filter
Buys when the 20-day MA crosses above the 50-day MA and volume is above its 20-day average. Sells on the reverse cross. Built for trend phases, not chop.
Buy the Dips
Adds after a 5% pullback from the 10-day high while price stays above the 200-day MA. Exits on a recovery to the prior high or after a time stop. Simple and disciplined.
Portfolio Rebalance
Rebalances a robotics ETF and a core index ETF back to target weights every 30 days. Skips trades if drift is under 2% to reduce fees. Keeps exposure aligned with your plan.
Stop Loss and Trailing Take Profit
Enters on a breakout close above the 20-day high. Places a fixed 3.5% stop loss and a 6% trailing take profit. Limits downside while letting winners run.
Volatility Breakout
Buys when price breaks above an ATR-based channel after 10 quiet sessions. Exits if price closes back inside the channel or RSI exceeds 70. Targets expansion after consolidation.
MA Crossover with Volume Filter
Buys when the 20-day MA crosses above the 50-day MA and volume is above its 20-day average. Sells on the reverse cross. Built for trend phases, not chop.
Buy the Dips
Adds after a 5% pullback from the 10-day high while price stays above the 200-day MA. Exits on a recovery to the prior high or after a time stop. Simple and disciplined.
Portfolio Rebalance
Rebalances a robotics ETF and a core index ETF back to target weights every 30 days. Skips trades if drift is under 2% to reduce fees. Keeps exposure aligned with your plan.
Stop Loss and Trailing Take Profit
Enters on a breakout close above the 20-day high. Places a fixed 3.5% stop loss and a 6% trailing take profit. Limits downside while letting winners run.
Volatility Breakout
Buys when price breaks above an ATR-based channel after 10 quiet sessions. Exits if price closes back inside the channel or RSI exceeds 70. Targets expansion after consolidation.
RSI Oversold Rebound
Buys when RSI drops below 30 on daily candles and then crosses back above 35. Sells when RSI reaches 60 or after 15 trading days. Aims for mean reversion.
Minimum Variance Rebalance
Shifts weight toward the lower-vol holding in a two-ETF basket using a rolling 20-day volatility check. Rebalances weekly with a 1% threshold. Seeks smoother drawdowns.
Donchian Channel Turtle
Buys on a close above the 55-day Donchian high and exits on a close below the 20-day low. Uses position caps to avoid concentration. Built for longer trends.
Range Bound Reversal
Buys near support when price touches the lower Bollinger Band and RSI is under 40. Sells near the upper band or at a fixed 2.5% take profit. Best in ranges.
ADX Trend Strength Filter
Allows long entries only when ADX is above 20 to confirm trend strength. Pairs with a 50-day MA filter and a 4% stop. Helps avoid choppy periods.
Unlike discretionary trading, a ruleset forces you to define what a valid setup looks like. You might require price above the 200-day MA, RSI below 40 and a 2% intraday drop before buying. Add a cooldown so the bot cannot re-enter for 3 days after an exit.
Robotics ETF trading works best when you treat exposure like a process, not a hunch. Schedule a monthly rebalance and only trade when drift exceeds 3% to keep turnover reasonable. Add a cash buffer rule, such as keep 10% unallocated, so rebalances do not force sells during drawdowns.
Connect Coinrule to Trading212, Tradier, TradeStation or Tastytrade depending on your workflow. Keep strategy logic in one place, then run it across accounts without rewriting anything. If you prefer manual oversight, start with alerts-only rules, then switch to live orders once signals look clean.
Before going live, simulate a few market paths. What happens if the ETF gaps down 6% at the open, or rallies 12% in two weeks? Adjust stops, profit targets and time stops so the bot behaves predictably.
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Start with one core trigger, like a 50-day trend filter, and validate it over a few months of data. Then add one constraint such as a volatility ceiling or a time stop. Fewer moving parts makes it easier to diagnose changes.
Sizing often matters more than the entry. Set rules that buy a fixed percent of cash, such as 5%, and limit total exposure to a theme. If you scale in, define the ladder in advance, for example 3 adds of 2% each, separated by at least 48 hours.
If you are new to systematic ETF execution, run the same logic in alert mode first. Compare alerts to what you would have done manually. When the signals feel reasonable, switch the rule to live orders with smaller size.
Theme ETFs can react to macro prints and large-cap tech moves. Add a schedule that avoids new entries in the first 15 minutes after the open, or pauses on specific weekdays. Keep exits active so risk stays controlled.
Treat each change like a new version. Clone the rule, adjust one parameter and track results separately. Over time you build a library of what works in trends, ranges and higher-volatility regimes.
Pick a single objective: trend capture, dip buying or monthly rebalancing. Define three numbers you will not violate, such as max allocation, stop distance and evaluation period. Once the bot behaves well, expand to a basket and keep the same discipline.
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