Learn stock automation with simple rules and templates. Execute automated strategies across brokers like Alpaca, Trading212, and WeBull with beginner-friendly tools.
410k+
users learning automation
1.2M+
beginner strategies created
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Stock Brokers Supported
Beginner stock automation starts with understanding how rules work before risking real capital. You might set a simple rule that buys $100 of SPY when it drops 3% in a day and RSI falls below 30. The platform connects to brokers like Alpaca, Trading212, and Charles Schwab while you maintain full control of your funds through API connections.
The system provides pre-built templates specifically crafted for those new to automation. Each template includes clear explanations of entry conditions, exit rules, and risk management. You can start with basic DCA strategies or simple moving average crossovers before advancing to more complex setups.
Practice mode lets you test strategies without real money while learning how automation works. You can see exactly when rules would trigger and understand the logic behind each trade. This builds confidence before connecting live broker accounts.
Beginner-friendly interface design
Instead of coding, you build rules using drag-and-drop components that make sense visually. If-then logic becomes intuitive when you see conditions and actions laid out clearly. The interface guides you through each step with helpful tooltips and examples.
Educational resources built in
Every template includes educational notes explaining why certain conditions work together and how to modify them safely. Video tutorials walk through common scenarios step by step.
Buy The Dips
Purchases stocks when price drops below recent support levels with RSI confirmation. Sets stop losses at 5% and takes profits at previous resistance. Perfect for learning basic technical analysis concepts.
DCA Accumulator
Splits larger investments into smaller weekly or monthly purchases regardless of price. Reduces timing risk while building positions gradually. Ideal first strategy for beginners learning discipline.
Moving Average Scalper
Buys when short-term MA crosses above long-term MA on daily charts. Exits when crossover reverses or profit target hits. Simple trend-following approach for new traders.
RSI Oversold Rebound
Enters positions when RSI drops below 30 on established stocks with strong fundamentals. Exits when RSI rises above 70. Teaches oversold/overbought concepts effectively.
Volatility Breakout
Triggers buy orders when stocks break above 20-day high with increased volume. Uses ATR-based stops for risk management. Introduces breakout trading concepts safely.
Buy The Dips
Purchases stocks when price drops below recent support levels with RSI confirmation. Sets stop losses at 5% and takes profits at previous resistance. Perfect for learning basic technical analysis concepts.
DCA Accumulator
Splits larger investments into smaller weekly or monthly purchases regardless of price. Reduces timing risk while building positions gradually. Ideal first strategy for beginners learning discipline.
Moving Average Scalper
Buys when short-term MA crosses above long-term MA on daily charts. Exits when crossover reverses or profit target hits. Simple trend-following approach for new traders.
RSI Oversold Rebound
Enters positions when RSI drops below 30 on established stocks with strong fundamentals. Exits when RSI rises above 70. Teaches oversold/overbought concepts effectively.
Volatility Breakout
Triggers buy orders when stocks break above 20-day high with increased volume. Uses ATR-based stops for risk management. Introduces breakout trading concepts safely.
Stop Loss Trailing System
Demonstrates proper risk management with fixed stop losses and trailing profit targets. Protects capital while letting winners run. Essential risk management lesson for beginners.
Supertrend Momentum
Follows Supertrend indicator signals for clear entry and exit points on trending stocks. Visual indicator makes trend direction obvious. Great for learning momentum concepts.
MA Volume Confirmation
Combines moving average signals with volume confirmation to reduce false signals. Enters only when volume exceeds 20-day average. Teaches signal quality concepts.
Range Bound Reversal
Buys at support and sells at resistance in sideways markets. Uses Bollinger Bands to identify range boundaries. Perfect for learning support/resistance concepts.
Dividend ETF Seasonality
Accumulates dividend ETFs before ex-dividend dates and holds through distribution. Teaches dividend capture strategies with lower risk. Good for income-focused beginners.
New users benefit from templates that have worked for thousands of other beginners. DCA strategies remove timing pressure while moving average crossovers teach basic technical analysis. Each template includes risk controls appropriate for learning accounts under $10000.
The platform walks you through API setup with supported brokers like WeBull, Public, and Robinhood. Your credentials stay secure while the system only receives permission to place trades according to your rules. Funds never leave your brokerage account.
Real-time notifications show when rules trigger so you understand exactly what happened and why. Performance tracking helps you see which strategies work best for your goals. You can pause, modify, or stop any rule instantly as you gain experience.
Start with $50-100 per trade while learning how automation works in practice. Small positions let you experience real market conditions without significant risk. You can increase size gradually as strategies prove successful and understanding improves.
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New users often start with position sizes too large or strategies too complex for their experience level. Stick to simple templates until you understand how market conditions affect performance. Avoid changing rules after just a few trades - give strategies time to work through different market cycles.
Each successful template teaches concepts you can apply to future strategies. Moving averages introduce trend analysis while RSI teaches momentum concepts. Support and resistance levels become clearer through range-bound strategies. This foundation supports more advanced automation later.
Never risk more than 2% of your account on any single trade when starting out. Use stop losses on every position and avoid strategies that don't include clear exit rules. Diversify across different stocks and timeframes rather than concentrating in one approach.
Once three basic strategies show consistent results over 2-3 months, you can gradually increase position sizes or add new templates. Keep detailed notes about what works in different market conditions. Success comes from patience and systematic improvement rather than quick changes.
Connect with other beginners and experienced users through forums and strategy sharing. Many successful automators started exactly where you are now and freely share lessons learned. The community helps troubleshoot issues and suggests improvements to your approach.
Every expert started as a beginner with the same questions and concerns you have now. The key is starting small, learning consistently, and building confidence through experience. Your first automated trade might feel uncertain, but each successful rule execution builds toward long-term systematic trading success.
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