Filter and trade stocks automatically with advanced screening criteria. Set RSI thresholds, volume filters and price patterns that trigger trades across multiple brokers.
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Traders choose stock screener software on Coinrule to combine filtering with automated trading across Alpaca, WeBull, Charles Schwab and Trading212. Set criteria like RSI below 30, volume above average, or price near support levels that trigger actual buy orders. Your screening rules run continuously, identifying opportunities and executing trades without manual intervention.
The platform lets you stack multiple screening conditions using technical indicators, fundamental metrics and price action patterns. Filter by market cap ranges, P/E ratios, moving average positions and momentum oscillators. Combine criteria with AND/OR logic to create sophisticated screening algorithms.
Your screening rules monitor thousands of stocks in real-time, sending alerts when securities meet your criteria. Push notifications include stock symbols, trigger conditions and suggested actions. The system processes market data continuously during trading hours.
Templates for common stock screens
Access ready-made screening templates for momentum stocks, value plays, dividend aristocrats and breakout candidates. Each template includes optimized criteria ranges and risk parameters tested across different market conditions.
Execution rules tied to screening results
When stocks pass your screening criteria, the system can automatically place orders, set stop losses or add symbols to watchlists. You control whether screening triggers immediate execution or requires manual confirmation.
Moving Average Scalper
Screens for stocks where price crosses above 20-day MA with volume 150% above average. Exits when price falls below MA or after 3 days. Quick momentum plays on liquid stocks.
RSI Oversold Rebound
Identifies stocks with RSI below 25 on daily charts while above 200-day MA. Buys oversold dips in uptrending stocks. Exits when RSI exceeds 70 or stop loss hits.
Breakout Plus Retest
Screens for stocks breaking above resistance with high volume, then waits for pullback retest. Enters on bounce from breakout level. Combines momentum with better entry timing.
Earnings Drift Rider
Filters stocks with positive earnings surprises and analyst upgrades. Holds for 5-10 days to capture post-earnings momentum. Screens for fundamental catalysts driving price action.
High Beta Risk-On Basket
Screens high-beta stocks when market sentiment turns positive. Filters by beta above 1.5 and correlation to SPY. Rotates into aggressive names during risk-on periods.
Moving Average Scalper
Screens for stocks where price crosses above 20-day MA with volume 150% above average. Exits when price falls below MA or after 3 days. Quick momentum plays on liquid stocks.
RSI Oversold Rebound
Identifies stocks with RSI below 25 on daily charts while above 200-day MA. Buys oversold dips in uptrending stocks. Exits when RSI exceeds 70 or stop loss hits.
Breakout Plus Retest
Screens for stocks breaking above resistance with high volume, then waits for pullback retest. Enters on bounce from breakout level. Combines momentum with better entry timing.
Earnings Drift Rider
Filters stocks with positive earnings surprises and analyst upgrades. Holds for 5-10 days to capture post-earnings momentum. Screens for fundamental catalysts driving price action.
High Beta Risk-On Basket
Screens high-beta stocks when market sentiment turns positive. Filters by beta above 1.5 and correlation to SPY. Rotates into aggressive names during risk-on periods.
Dividend ETF Seasonality
Screens dividend-focused ETFs approaching ex-dividend dates. Captures dividend payments plus potential price appreciation. Times entries around quarterly distribution cycles.
Support Resistance Bounce
Identifies stocks approaching key support levels with oversold conditions. Screens for price within 2% of support with RSI below 35. Enters expecting bounce from technical levels.
Sector Momentum Switcher
Screens strongest performing sector ETFs and individual stocks within those sectors. Rotates capital toward sectors showing relative strength versus broad market indices.
Gap Fill Hunter
Screens for stocks with significant overnight gaps that typically fill during regular trading hours. Filters by gap size and historical fill rates. Profits from gap closure patterns.
Low Vol Defensive Rotation
Screens low-volatility stocks and defensive sectors during market uncertainty. Filters by beta below 0.8 and stable earnings. Preserves capital in risk-off environments.
Set screening parameters using price, volume, technical indicators and fundamental metrics. Filter by RSI ranges, moving average relationships, volume spikes and price patterns. The automation supports complex multi-condition screens with customizable thresholds. You can screen for stocks breaking out of consolidation, approaching support levels or showing unusual volume activity.
Test screening criteria against historical data to validate effectiveness before deploying live capital. The platform shows how your screening rules would have performed over different time periods and market conditions. Analyze hit rates, average returns and drawdown statistics to refine your screening parameters.
Screening results integrate with portfolio management tools for proper position sizing and risk allocation. Set maximum position sizes, sector concentration limits and correlation constraints. The system ensures screening-based trades fit within your overall portfolio risk parameters.
Combine technical screening with fundamental filters like P/E ratios, revenue growth, debt levels and profitability metrics. Screen for technically oversold stocks with strong fundamentals or momentum plays backed by earnings growth. The dual approach improves screening quality and reduces false signals.
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The platform connects directly to broker APIs for seamless order execution and real-time market data access. Screening algorithms process live price feeds, volume data and fundamental metrics without delays. API integration ensures screening results translate immediately into actionable trades through your preferred broker.
Enhance traditional screening with machine learning algorithms that identify subtle patterns in stock behavior. The system can learn from your successful screening trades and adapt criteria based on changing market conditions. ML-powered screening improves over time as it processes more market data.
Screen within specific sectors or industry groups to capitalize on thematic trends and rotation patterns. Filter technology stocks during growth phases, defensive sectors during uncertainty, or cyclical industries during economic expansion. Sector-focused screening improves relevance and timing.
Extend screening to options markets, filtering by implied volatility, open interest and unusual activity. Screen for stocks with elevated options volume or skewed volatility that might signal pending moves. Options screening adds another dimension to equity selection strategies.
Apply screening criteria across multiple timeframes simultaneously for comprehensive analysis. Screen for daily breakouts confirmed by weekly trends, or intraday momentum supported by longer-term technical setups. Multi-timeframe screening reduces false signals and improves trade quality.
Track screening performance with detailed analytics showing hit rates, profit factors and risk-adjusted returns. Analyze which screening criteria generate the best results and optimize parameters based on actual trading outcomes. Performance data helps refine screening strategies for better long-term results.
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