Create automated stock strategies without coding. Execute rule-based trades across Alpaca, Trading212, WeBull and Charles Schwab with systematic risk controls.
410k+
traders automating equity strategies
2.1M+
stock rules executed successfully
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Stock Brokers Connected
Instead of chasing individual stock picks, a stock trading bot executes your predefined rules across equity markets systematically. You might set conditions like buying when RSI drops below 30 on daily charts while the stock trades above its 200-day moving average. The system monitors your watchlist across Alpaca, WeBull and Trading212 simultaneously, entering positions when all criteria align without emotional interference.
The platform provides tested templates for common stock patterns like breakout confirmations, earnings drift captures and dividend reinvestment schedules. Templates adapt to different sectors with customizable parameters for volatility, market cap filters and volume requirements. You can clone successful templates and modify entry conditions, position sizing or exit triggers.
Rather than managing separate accounts manually, the system coordinates trades across multiple stock brokers from a unified interface. Your rules execute on whichever broker offers the best execution for each specific trade while maintaining consistent risk parameters across all positions.
Stock strategy automation
You define precise conditions like 'buy when price breaks above 20-day high with volume exceeding 150% of average and RSI below 70'. The automation monitors these conditions continuously, executing trades during market hours while you focus on research and strategy refinement.
Portfolio level risk controls
Every position connects to portfolio-wide risk limits including maximum sector allocation, correlation limits between holdings and drawdown thresholds that pause new entries when exceeded.
Moving Average Scalper
Enters long positions when 5-period MA crosses above 20-period MA on 15-minute charts. Exits when crossover reverses or profit reaches 2%. Designed for liquid stocks with tight spreads during active trading hours.
RSI Oversold Rebound
Buys when RSI drops below 25 on daily timeframe while stock remains above 50-day MA. Takes profit at RSI 65 or 5% gain. Targets quality stocks experiencing temporary oversold conditions.
Breakout Plus Retest
Triggers buy orders when price breaks above resistance with 2x average volume, then waits for pullback retest of breakout level. Enters on bounce with stop below retest low and 3:1 risk-reward target.
Earnings Drift Rider
Captures post-earnings momentum by entering positions 1-3 days after positive earnings surprises. Holds for 5-15 trading days to capture analyst upgrades and institutional accumulation following results.
Dividend ETF Seasonality
Systematically accumulates dividend-focused ETFs during historically strong months while reducing exposure during weak seasonal periods. Combines dividend capture with seasonal momentum patterns.
Moving Average Scalper
Enters long positions when 5-period MA crosses above 20-period MA on 15-minute charts. Exits when crossover reverses or profit reaches 2%. Designed for liquid stocks with tight spreads during active trading hours.
RSI Oversold Rebound
Buys when RSI drops below 25 on daily timeframe while stock remains above 50-day MA. Takes profit at RSI 65 or 5% gain. Targets quality stocks experiencing temporary oversold conditions.
Breakout Plus Retest
Triggers buy orders when price breaks above resistance with 2x average volume, then waits for pullback retest of breakout level. Enters on bounce with stop below retest low and 3:1 risk-reward target.
Earnings Drift Rider
Captures post-earnings momentum by entering positions 1-3 days after positive earnings surprises. Holds for 5-15 trading days to capture analyst upgrades and institutional accumulation following results.
Dividend ETF Seasonality
Systematically accumulates dividend-focused ETFs during historically strong months while reducing exposure during weak seasonal periods. Combines dividend capture with seasonal momentum patterns.
Momentum Pullback Hunter
Identifies stocks making new 52-week highs, then waits for 3-8% pullbacks to enter long positions. Uses trailing stops to capture extended momentum moves while protecting against trend reversals.
Support Resistance Bounce
Monitors key support levels on daily charts, entering long positions when price bounces with confirmation from volume and momentum indicators. Targets previous resistance levels for profit-taking.
Sector Momentum Switcher
Rotates capital between sector ETFs based on relative strength rankings and momentum indicators. Automatically rebalances monthly to maintain exposure to strongest performing sectors.
Gap Fill Hunter
Identifies overnight gaps in liquid stocks and enters positions anticipating gap fills within 2-5 trading days. Uses statistical analysis to determine optimal entry timing and position sizing.
Post-Earnings Mean Reversion
Fades extreme post-earnings moves in either direction, entering counter-trend positions when stocks move beyond 2 standard deviations from expected ranges. Targets return to fair value within 1-2 weeks.
Equity markets respond to different technical signals than crypto, so the platform includes stock-optimized indicators like relative strength rankings, earnings revision scores and institutional flow metrics. You can combine traditional indicators like MACD and Bollinger Bands with fundamental filters such as P/E ratios, revenue growth rates and analyst consensus changes. These combinations help identify high-probability setups specific to individual stocks or sectors.
The system connects to your existing brokerage accounts via secure API keys, maintaining your current broker relationships while adding automation capabilities. Trades execute through your chosen brokers with their standard commission structures and settlement procedures. You maintain full control over which brokers handle specific strategies based on their strengths, costs or available instruments.
Unlike crypto where equal weighting often works, stock portfolios benefit from sophisticated position sizing based on volatility, correlation and conviction levels. The platform calculates optimal position sizes using portfolio theory principles, adjusting for individual stock volatility and overall portfolio risk targets. You can set maximum position sizes per stock, sector limits and correlation-based adjustments.
The automation respects market hours and can optionally include pre-market and after-hours sessions where your broker permits. Rules can specify different behavior during regular hours versus extended sessions, accounting for lower liquidity and wider spreads outside normal trading times. Weekend and holiday schedules are automatically handled.
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Stock portfolios require different risk controls than crypto due to correlation patterns, sector concentrations and market cap considerations. The platform implements portfolio-level risk limits including maximum sector allocations, individual position limits and correlation-based adjustments. Stop losses can be set as percentages, ATR multiples or technical levels, with different parameters for growth versus value stocks.
Automated strategies can be configured to consider tax implications such as wash sale rules, long-term versus short-term capital gains timing, and tax-loss harvesting opportunities. The system can delay trades to achieve long-term treatment or prioritize loss realization for tax benefits while maintaining overall strategy integrity.
While automation handles execution, you still need quality research inputs for strategy development. The platform can incorporate external data feeds, analyst ratings changes, and fundamental screening results into your rule logic. This bridges the gap between research-driven stock selection and systematic execution.
Start with simple single-stock rules then graduate to portfolio-wide strategies that manage multiple positions simultaneously. The system handles complex scenarios like pair trades, sector hedges and market-neutral strategies that require coordinated execution across multiple instruments.
Monitor strategy performance with detailed analytics including risk-adjusted returns, benchmark comparisons and attribution analysis. Identify which rules contribute most to performance and optimize parameters based on changing market conditions. Regular performance reviews help refine strategies over time.
Begin by connecting your broker account and exploring pre-built templates for common stock strategies. Start with paper trading to validate your approach, then deploy small position sizes while you gain confidence in the automation. Gradually scale up as you refine your rules and risk parameters.
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