Automate rule-based execution for chipmakers and AI infrastructure names. Backtest, set risk limits and trade via brokers like WeBull, Alpaca and Charles Schwab.
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Instead of reacting to headlines, use Coinrule to systematize AI hardware stocks with clear triggers and guardrails. Set entries, exits and position sizing once, then let the engine execute consistently through brokers like Trading212, Tradier and TradeStation.
Traders often mix GPU leaders, foundries and networking names, but the drivers differ by segment. The platform lets you create separate rule sets per ticker, then manage them from one dashboard with unified risk limits and logs.
When momentum accelerates, manual clicks can lag. Use indicator conditions like RSI, moving averages and volatility filters to place orders automatically, then review every fill and decision in a transparent activity trail.
Editable equity templates
Pick a template and adjust it to your risk. For example, buy 25 percent of your intended size when price closes above MA50, add the next 25 percent on a 3 percent pullback, and cap total exposure at 8 percent of portfolio.
Built-in risk controls
Every rule can include stop loss, take profit and time-based exits. You might set a 6 percent stop, trail profits by 3 percent once up 10 percent, and pause new entries if the position drops below MA200 on daily candles.
Buy the Dips
Buys after a 5 percent drop from a 20-day high with MA100 trend filter. Adds once after 2 stable sessions. Exits on a 7 percent rebound or a time stop.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is 20 percent above its 10-day average. Exits on crossback or a 4 percent drop from entry. Built for confirmation.
RSI Oversold Rebound
Buys when RSI(14) drops below 30 on daily candles while price holds above MA200. Takes profit when RSI rises above 55. Uses a 5 percent stop.
Volatility Breakout
Places a buy stop above the prior 10-day high when ATR expands. Sells partial at 1R and trails the rest by 3 percent. Useful after gaps on guidance.
Stop Loss and Trailing Take Profit
Enters on your chosen signal, then sets a fixed 6 percent stop. Once profit exceeds 8 percent, switches to a 2.5 percent trailing take profit. Helps manage reversals.
Buy the Dips
Buys after a 5 percent drop from a 20-day high with MA100 trend filter. Adds once after 2 stable sessions. Exits on a 7 percent rebound or a time stop.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is 20 percent above its 10-day average. Exits on crossback or a 4 percent drop from entry. Built for confirmation.
RSI Oversold Rebound
Buys when RSI(14) drops below 30 on daily candles while price holds above MA200. Takes profit when RSI rises above 55. Uses a 5 percent stop.
Volatility Breakout
Places a buy stop above the prior 10-day high when ATR expands. Sells partial at 1R and trails the rest by 3 percent. Useful after gaps on guidance.
Stop Loss and Trailing Take Profit
Enters on your chosen signal, then sets a fixed 6 percent stop. Once profit exceeds 8 percent, switches to a 2.5 percent trailing take profit. Helps manage reversals.
Portfolio Rebalance
Rebalances a basket back to target weights weekly. Skips buys if a ticker is below MA200. Keeps concentration risk in check during sector rotations.
Earnings Drift Rider
After earnings, buys if price closes above the post-report high and holds for 2 sessions. Exits on a close below the 5-day low. Targets follow-through.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 40. Sells when price returns to the middle band. Adds a 7-session time stop.
ADX Trend Strength Filter
Trades only when ADX is above 25 to avoid chop. Enters on higher-high confirmation and exits on a close below MA20. Fits sustained trends.
Opening Range Breakout
Uses the first 30 minutes as the range. Buys on a break above the high with a stop under the low. Takes profit at 2R or trails into the close.
Unlike a single-ticker approach, many investors track a basket across GPUs, memory, foundries and networking. Coinrule helps you group tickers, apply shared limits, and avoid over-allocating to one sub-theme when correlations spike.
For AI hardware stocks, define conditions that remove ambiguity. Example one: if price breaks above the 20-day high and RSI is below 70, buy 2 percent of portfolio and set a 5 percent stop. Example two: if price drops 8 percent from the last close, buy 1 percent, but only if MA200 is rising. Example three: if profit reaches 12 percent, sell half and trail the rest by 3 percent.
Connect your account and route orders where you already trade, such as Charles Schwab, WeBull, Alpaca or Tastytrade. The platform focuses on rule logic, scheduling and risk checks, while your broker handles custody and settlement.
Risk controls include max position size, max daily loss alerts and rule pauses after consecutive losses. You can also add cooldowns, like waiting 2 days after a stop-out before re-entering the same ticker.
Start BotFAQ
Lars H.
Priya K.
Michael R.
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Kenji M.
Valentina C.
Sector moves often start with rates, capex and guidance, not just charts. Combine a trend filter with a simple macro proxy, like pausing new buys when the broad index is below MA200, to reduce whipsaws.
Once a single rule behaves well, clone it across your watchlist and adjust only what must change. Keep shared constraints, like a 15 percent total basket cap, so one hot name does not dominate risk.
Rebalancing works best when it is routine. Schedule weekly checks, trim positions that exceed target weight by 20 percent, and redeploy into laggards only if trend filters remain intact.
Choppy periods can punish breakout systems. Add an ADX or range filter so rules activate only when trend strength is present, and keep cash as a deliberate position when conditions fail.
Change one variable at a time, such as RSI 30 vs 35, and compare results over the same date range. Treat each rule as a testable hypothesis, not a one-off bet. For more, see /automated-trading.
Connect a broker, choose a template, and set your first risk limits in under 10 minutes. Start with small sizing, review the logs weekly, and refine until the process fits your style.
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