Spot robotics and automation setups faster with a rules-based screener, then automate entries, exits and risk controls across supported brokers in Coinrule.
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Instead of chasing headlines, a Robotics Stock Screener turns your thesis into repeatable filters. In Coinrule, you can track price, volume and trend signals, then automate orders on WeBull, Alpaca, TradeStation and Tradier with consistent risk limits.
Traders often start with a robotics watchlist, then struggle to act consistently when volatility hits. Coinrule lets you convert those ideas into if-this-then-that rules that trigger entries, partial exits and protective stops. You can run the same logic across multiple tickers, schedule checks every 15 minutes, and receive alerts when conditions flip. The result is a workflow that stays systematic even when the market is noisy.
When a sector rotates, robotics names can gap on earnings, guidance or supply chain news. Use trend and momentum filters like MA crossovers, RSI thresholds and breakout levels to avoid buying into exhaustion. For example, you might require price above the 200-day MA and a 20-day high breakout before entering. You can also add volume confirmation, such as volume 1.5x the 20-day average, to reduce false signals.
Screener Inputs That Matter
Start by choosing the tickers and ETFs you care about, then set guardrails. Examples: cap any single position at 8% of equity, limit total sector exposure to 25%, and block new buys if portfolio drawdown exceeds 6% in 30 days. These constraints keep a thematic basket from dominating your account. Once set, the platform enforces them automatically.
Automation With Clear Risk Rules
Risk controls include stop loss, trailing take profit and time stops so positions do not linger. A practical setup is a 3% initial stop, then a trailing stop that tightens to 1.5% after price gains 10%. You can also scale out, for example sell 33% at +6% and another 33% at +12%, then trail the remainder. Every action is logged so you can review what happened and why.
MA Crossover with Volume Filter
Buy when MA20 crosses above MA50 and volume is 1.5x the 20-day average. Exit on the reverse cross. Add a 4% stop loss for defined risk.
Volatility Breakout
Enter when price breaks the prior 20-day high and ATR rises above its 14-day average. Exit on a close back inside the range. Use a trailing stop to protect gains.
Stop Loss and Trailing Take Profit
Set an initial stop loss at 3%. Activate a 2% trailing take profit after a 5% gain. Add a time stop to exit after 20 sessions if price is flat.
Momentum Pullback
Trade only when price is above MA200. Enter on a 2% pullback from a 10-day high. Take profit at +8% or exit if RSI drops below 45.
Donchian Channel Turtle
Buy on a break above the 20-day Donchian high. Exit on a break below the 10-day low. Cap position size per ticker to manage concentration.
MA Crossover with Volume Filter
Buy when MA20 crosses above MA50 and volume is 1.5x the 20-day average. Exit on the reverse cross. Add a 4% stop loss for defined risk.
Volatility Breakout
Enter when price breaks the prior 20-day high and ATR rises above its 14-day average. Exit on a close back inside the range. Use a trailing stop to protect gains.
Stop Loss and Trailing Take Profit
Set an initial stop loss at 3%. Activate a 2% trailing take profit after a 5% gain. Add a time stop to exit after 20 sessions if price is flat.
Momentum Pullback
Trade only when price is above MA200. Enter on a 2% pullback from a 10-day high. Take profit at +8% or exit if RSI drops below 45.
Donchian Channel Turtle
Buy on a break above the 20-day Donchian high. Exit on a break below the 10-day low. Cap position size per ticker to manage concentration.
RSI Oversold Rebound
Buy when RSI(14) falls below 30 while price holds above a key moving average. Sell when RSI rises above 55. Add a 7-day time stop to limit drift.
Portfolio Rebalance
Rebalance a robotics basket back to target weights weekly. Skip buys if a ticker is below MA200. Keep a max position cap to control exposure.
Earnings Drift Rider
After earnings, enter if price closes above the post-report high. Hold up to 10 sessions. Exit on a 3% stop or if price closes below MA20.
Breakout + Retest
Buy after a breakout above resistance, then wait for a retest within 1% of the level. Confirm with RSI above 50. Exit on a close below the retest low.
Minimum Variance Rebalance
Favor steadier names by rebalancing monthly toward lower volatility holdings. Add a max correlation filter to reduce duplicates. Use a sector cap to limit clustering.
Unlike black-box screeners, Coinrule focuses on transparent logic you can audit. Connect to Public, Charles Schwab, E*TRADE or Trading212, set your order types, and keep full custody at your broker. You decide whether rules place market orders, limit orders, or staged entries. Permissions stay limited to what you enable.
A Robotics Stock Screener works best when it balances signal quality with simplicity. Start with two or three conditions, then add one risk rule, not ten. For instance: buy only if price is above MA200, RSI is between 45 and 65, and the stock breaks a 30-day high, then set a 4% stop and a 10% take profit. Review results monthly and adjust slowly so you do not chase recent noise.
Before going live, run the same rules as alerts to see how often they trigger. This helps you spot overly tight thresholds, like breakouts that fire every day, or stops that cut positions too quickly. Once the alert cadence looks reasonable, switch to live execution with smaller size. You can clone the rule and test variations side by side.
After a few weeks, focus on execution quality and drawdowns, not just win rate. Check whether entries happened near your intended levels and whether exits respected your risk limits. If slippage is an issue, prefer limit orders or add a retest condition. The goal is a process you can repeat across different market regimes.
Launch NowFAQ
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Robotics is a narrative-heavy space, so price can detach from fundamentals quickly. A rules-based workflow helps you avoid buying purely on excitement. Use objective triggers, define exits before entries, and keep exposure sized for uncertainty. That discipline matters more than finding the perfect indicator.
Portfolio views make it easier to see concentration across correlated names. If several holdings move together, treat them as one risk bucket and reduce total allocation. You can enforce this by limiting the number of simultaneous positions or capping sector exposure. This keeps diversification real, not just cosmetic.
Gaps can skip stop levels, especially around earnings. Consider using smaller position sizes, wider stops, or time-based exits before known events. You can also require a post-gap retest before entering to avoid buying the top. These simple rules reduce surprise risk.
If you cannot explain a rule in one sentence, it is probably too complex. Favor a small set of conditions you can monitor and improve. Track which filters add value and remove the ones that do not. Simplicity makes iteration faster.
Treat each month as a test cycle. Export results, note which conditions triggered, and compare performance across market regimes. Then adjust one variable at a time, like changing RSI 30 to 35, or tightening a trailing stop from 3% to 2%. Small changes beat constant reinvention.
Pick a handful of tickers, choose one trend filter, add one entry trigger, and set a clear stop. Run it as alerts for a week, then go live with small size once behavior matches expectations. Coinrule is designed to make that loop fast and repeatable.
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