Connect your E*TRADE account to Coinrule for automated stock trading. Execute rule-based strategies across stocks and ETFs with systematic entry and exit conditions.
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Connect your existing E*TRADE account via secure API integration while your funds remain safely in your brokerage. ETrade automation through Coinrule transforms manual stock picking into systematic strategy execution. Set conditions like RSI oversold levels or moving average crossovers to trigger automatic buy and sell orders across your favorite stocks and ETFs.
The platform monitors your chosen stocks continuously, executing predefined rules even when markets open before your workday. Instead of checking charts manually, your automation handles entries when AAPL drops below support or exits when MSFT hits resistance levels. Rules run consistently without emotional interference.
Choose from proven templates covering earnings plays, dividend capture strategies, and momentum breakouts. Each template adapts to different timeframes and risk tolerances while maintaining the systematic approach that removes guesswork from stock selection and timing.
Stock-specific automation features
Set percentage-based position sizing, configure stop losses that adjust for stock volatility, and schedule trades around earnings announcements. The system handles fractional shares and respects market hours while providing after-hours monitoring for gap situations.
Multi-broker connectivity options
Beyond E*TRADE, connect additional accounts from Alpaca, Charles Schwab, Trading212, and Robinhood to diversify execution venues and compare fill quality across different brokers for optimal trade routing.
Buy the Dips
Purchases stocks when price drops 3-5% below recent highs with volume confirmation. Exits on 8-12% recovery or stop loss trigger. Effective for quality names during market corrections.
Moving Average Scalper
Enters long positions when price crosses above 20-day MA with momentum confirmation. Exits when price falls back below MA or reaches 2% profit target. Quick systematic entries and exits.
RSI Oversold Rebound
Buys when RSI drops below 30 on daily charts with volume spike confirmation. Sells when RSI exceeds 70 or after 5-day holding period. Catches oversold bounces in trending stocks.
Breakout Plus Retest
Enters on breakout above resistance with volume, then adds on successful retest of breakout level. Exits on breakdown below retest low. Captures momentum continuation patterns.
Momentum Pullback
Buys pullbacks to 50-day MA in stocks showing 20%+ monthly gains. Exits on new highs or 5% stop loss. Rides strong trends while managing downside risk systematically.
Buy the Dips
Purchases stocks when price drops 3-5% below recent highs with volume confirmation. Exits on 8-12% recovery or stop loss trigger. Effective for quality names during market corrections.
Moving Average Scalper
Enters long positions when price crosses above 20-day MA with momentum confirmation. Exits when price falls back below MA or reaches 2% profit target. Quick systematic entries and exits.
RSI Oversold Rebound
Buys when RSI drops below 30 on daily charts with volume spike confirmation. Sells when RSI exceeds 70 or after 5-day holding period. Catches oversold bounces in trending stocks.
Breakout Plus Retest
Enters on breakout above resistance with volume, then adds on successful retest of breakout level. Exits on breakdown below retest low. Captures momentum continuation patterns.
Momentum Pullback
Buys pullbacks to 50-day MA in stocks showing 20%+ monthly gains. Exits on new highs or 5% stop loss. Rides strong trends while managing downside risk systematically.
Earnings Drift Rider
Enters positions 1-3 days after positive earnings surprises when momentum continues. Holds for 5-10 trading days or until momentum fades. Captures post-earnings drift patterns.
Dividend ETF Seasonality
Accumulates dividend-focused ETFs during historically strong months, reduces exposure during weak periods. Rebalances quarterly based on seasonal patterns and yield spreads.
Support Resistance Bounce
Buys at established support levels with tight stops, sells at resistance. Uses multiple timeframe confirmation and volume analysis. Effective in range-bound market conditions.
Sector Momentum Switcher
Rotates between sector ETFs based on relative strength rankings and momentum indicators. Holds strongest sectors while avoiding weakest performers. Monthly rebalancing schedule.
Portfolio Rebalancer
Automatically rebalances portfolio allocations when positions drift beyond target percentages. Sells overweight positions and buys underweight holdings. Maintains disciplined allocation.
Configure stop losses that adjust for individual stock volatility patterns, with tighter stops for low-volatility dividend stocks and wider stops for growth names. Position sizing automatically scales based on your account size and risk tolerance. Portfolio-level controls prevent over-concentration in any single sector or stock.
Test your strategies against years of historical stock price data before risking real capital. The backtesting engine accounts for realistic slippage, commissions, and market impact to provide accurate performance projections. Optimize entry and exit conditions based on historical results.
Combine technical triggers with fundamental filters like P/E ratios, earnings growth, and analyst ratings. Set rules that only trade stocks meeting your fundamental criteria while using technical analysis for precise timing. This hybrid approach improves strategy selectivity.
Configure rules that consider tax implications, automatically harvesting losses for tax benefits while avoiding wash sale violations. The system can prioritize long-term capital gains treatment and coordinate with tax-loss harvesting schedules for optimal after-tax returns.
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The automation supports limit orders, stop losses, trailing stops, and bracket orders to optimize fill prices and risk management. Smart order routing considers bid-ask spreads and volume patterns to minimize market impact. Orders can be scheduled around earnings announcements, ex-dividend dates, and other corporate events.
Multiple strategies coordinate to avoid conflicts and maintain overall portfolio balance. If one strategy wants to buy while another suggests selling the same stock, the system resolves conflicts based on your priority settings. This prevents contradictory signals from creating excessive trading costs.
Detailed performance metrics track win rates, average holding periods, and risk-adjusted returns for each automated strategy. Compare performance across different market conditions and time periods to identify which approaches work best in various environments. Use these insights to refine and improve your automation rules.
The system respects pattern day trading rules, position limits, and other regulatory requirements automatically. Built-in compliance checks prevent violations while maintaining strategy effectiveness. Documentation features help with record-keeping for tax reporting and audit purposes.
Connect external research feeds, analyst ratings, and fundamental data to enhance your automated decision-making. The platform can incorporate third-party signals while maintaining your core rule-based approach. This creates a comprehensive automation ecosystem beyond simple technical indicators.
Begin with a simple strategy like buying oversold conditions in stocks you already follow. Start with small position sizes to build confidence in the automation process. Monitor results for several weeks before scaling up or adding more complex strategies. The learning curve is manageable when you start systematically.
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