Create systematic trading strategies for stocks and ETFs without coding. Execute algorithmic stock trading rules across multiple brokers with automated risk controls and real-time execution.
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traders using systematic rules
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Transform your stock trading approach with algorithmic stock trading that removes emotion from every decision. Set precise entry and exit conditions using technical indicators like RSI, moving averages and volume filters across brokers including Alpaca, Trading212, WeBull and Charles Schwab. Your systematic rules execute automatically while you maintain full control over risk parameters and position sizing.
The platform translates your trading logic into automated workflows that monitor hundreds of stocks simultaneously. Instead of watching charts all day, your rules scan for setups like RSI oversold conditions combined with volume spikes or moving average crossovers on specific timeframes. Each trigger executes with consistent position sizing and predefined stop losses.
Access proven systematic trading templates covering momentum, mean reversion and breakout strategies. Templates include specific entry conditions like buy when price breaks above 20-day high with volume 150% above average and exit rules such as sell when RSI exceeds 70 or stop loss hits 3%. You can customize parameters or use templates as starting points for your own rules.
Stock and ETF automation templates
Choose from systematic strategies designed specifically for stock markets including sector rotation, earnings momentum and dividend capture approaches. Each template includes backtesting data and suggested position sizing for different account sizes.
Multi-broker execution infrastructure
Connect multiple brokerage accounts through secure API integration allowing your systematic rules to execute across different platforms while maintaining unified risk management and portfolio tracking from a single dashboard.
Moving Average Scalper
Enters long positions when 5-period MA crosses above 20-period MA on 15-minute charts with volume confirmation. Exits when crossover reverses or 2% profit target reached. Designed for active systematic scalping.
RSI Oversold Rebound
Buys stocks when RSI drops below 30 on daily timeframe while price remains above 50-day moving average. Sells when RSI exceeds 65 or 5% gain achieved. Captures systematic oversold bounces.
Volatility Breakout
Triggers buy orders when price breaks above previous day high with volume 200% above 10-day average. Uses ATR-based stops and trails profits. Systematic momentum capture strategy.
Supertrend Momentum
Follows Supertrend indicator signals on 1-hour charts for systematic trend following. Enters when price closes above Supertrend line and exits on crossback below. Includes trailing stops.
MA Crossover with Volume Filter
Systematic strategy using 10/30 moving average crossover with volume filter requiring 125% above average volume for entry. Exits on reverse crossover or time-based stop after 5 days.
Moving Average Scalper
Enters long positions when 5-period MA crosses above 20-period MA on 15-minute charts with volume confirmation. Exits when crossover reverses or 2% profit target reached. Designed for active systematic scalping.
RSI Oversold Rebound
Buys stocks when RSI drops below 30 on daily timeframe while price remains above 50-day moving average. Sells when RSI exceeds 65 or 5% gain achieved. Captures systematic oversold bounces.
Volatility Breakout
Triggers buy orders when price breaks above previous day high with volume 200% above 10-day average. Uses ATR-based stops and trails profits. Systematic momentum capture strategy.
Supertrend Momentum
Follows Supertrend indicator signals on 1-hour charts for systematic trend following. Enters when price closes above Supertrend line and exits on crossback below. Includes trailing stops.
MA Crossover with Volume Filter
Systematic strategy using 10/30 moving average crossover with volume filter requiring 125% above average volume for entry. Exits on reverse crossover or time-based stop after 5 days.
Bollinger Band Mean Reversion
Buys when price touches lower Bollinger Band on daily charts with RSI below 40. Sells at middle band or upper band touch. Systematic mean reversion for range-bound stocks.
Momentum Pullback
Enters positions on pullbacks to 20-day MA in stocks showing strong momentum above 50-day MA. Uses systematic entry with volume confirmation and momentum continuation filters.
Support and Resistance Bounce
Systematic strategy identifying key support levels and buying on bounces with volume confirmation. Exits at resistance levels or predetermined profit targets with trailing stops.
Opening Range Breakout
Trades systematic breakouts from first 30 minutes of trading session. Enters long above range high or short below range low with volume filter and time-based exits before market close.
Earnings Drift Rider
Systematic post-earnings momentum strategy entering positions 1-3 days after earnings announcements in direction of initial move. Uses momentum filters and time-based exits.
Test your trading rules against historical data before risking real capital. The backtesting engine processes years of stock data to show how your systematic approach would have performed across different market conditions. You can adjust parameters based on backtest results and compare multiple strategy variations to optimize performance.
Every systematic strategy includes built-in risk controls like maximum position size, daily loss limits and correlation filters. Set portfolio-level stops that halt all trading if drawdown exceeds your comfort level. Position sizing can scale based on volatility or account balance ensuring consistent risk across all automated trades.
Track your systematic strategies through real-time dashboards showing active positions, pending orders and performance metrics. Receive instant notifications when rules trigger, positions close or risk limits approach. Mobile alerts keep you informed without requiring constant monitoring.
Your automated rules can combine signals from multiple timeframes for more robust entries. For example, require bullish daily trend confirmation before taking 1-hour breakout signals. This systematic approach reduces false signals and improves win rates by aligning short-term entries with longer-term trends.
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Begin by connecting your preferred stock broker through secure API integration. Choose from proven systematic strategy templates or build custom rules using the visual editor. Start with paper trading to validate your approach before deploying real capital across live markets.
Sophisticated traders can implement complex multi-leg strategies with conditional logic and dynamic position sizing. Create systematic approaches that adjust to market volatility, sector rotation patterns or earnings cycles. Advanced features include options integration and pairs trading capabilities for market-neutral systematic strategies.
As your systematic strategies prove profitable, scale position sizes and add complementary approaches to diversify returns. The platform supports portfolio-level optimization and correlation analysis to maximize systematic trading efficiency while managing overall risk exposure.
Comprehensive analytics track every aspect of your systematic trading performance including win rates, average holding periods and risk-adjusted returns. Compare strategy performance across different market conditions and identify which systematic approaches work best for your trading style and risk tolerance.
Access a community of systematic traders sharing strategies, backtesting results and market insights. Educational resources cover advanced topics like factor investing, quantitative analysis and systematic portfolio construction to continuously improve your automated trading approach.
Institutional-grade features include advanced order types, slippage analysis and execution quality metrics. Professional systematic traders benefit from priority execution, dedicated support and advanced risk management tools designed for serious operations.
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