Dynamic Stock Trading: Combining Mean Reversion and Momentum Strategies

Explore a dynamic stock trading strategy that intelligently switches between mean reversion and momentum approaches based on real-time market conditions, using technical indicators and a rebalancing strategy for optimal performance.

Aurora: Hello. Do you need help finding some new stocks for your watchlist? Maybe we can find stocks based on their Net Income or Revenue?

User: What is the difference between mean reversion, break out, and momentum strategies?

Aurora: Here are the key differences between these three popular trading strategy types: ## Mean Reversion Strategies Mean reversion strategies are based on the idea that prices tend to return to their average or "mean" value over time. These strategies: - Buy when prices are significantly below their historical average - Sell when prices are significantly above their historical average - Work well in sideways or range-bound markets - Often use indicators like Bollinger Bands, RSI, or standard deviation - Example: Buy a stock when it's 2 standard deviations below its 20-day moving average ## Breakout Strategies Breakout strategies aim to capture significant price movements when an asset breaks through key support or resistance levels: - Enter positions when price breaks above resistance (bullish breakout) or below support (bearish breakout) - Assume that once a level is broken, the price will continue in that direction - Work well in trending markets with clear directional moves - Often use volume confirmation to validate breakouts - Example: Buy when a stock breaks above its 52-week high with above-average volume ## Momentum Strategies Momentum strategies follow the principle that "the t…

User: - A simple moving average is above a longer simple moving average - A simple moving average is above a price - A simple moving average is below a price - A stock is below a lower bollinger band - A stock is above a lower bollinger band - Relative strength index is below a value (30) - Relative strength index is above a value (30) - A stock’s rate of change increases (and is positive) - A stock’s rate of change decreases (and is negative) These are all different market conditions. Which ones are breakout, which are momentum, and which are mean reverting?

Aurora: Here's how these market conditions align with the three strategy types: ## **Momentum Strategies** - **A simple moving average is above a longer simple moving average** - Classic momentum signal (e.g., 50-day SMA above 200-day SMA) - **A simple moving average is above a price** - Price trending below its average, but this is actually more mean reversion - **A stock's rate of change increases (and is positive)** - Pure momentum - accelerating upward price movement ## **Mean Reversion Strategies** - **A simple moving average is below a price** - Price is above its average, suggesting it may revert down - **A stock is below a lower bollinger band** - Price is extremely oversold, likely to bounce back up - **Relative strength index is below a value (30)** - RSI below 30 indicates oversold conditions, expecting bounce - **Relative strength index is above a value (30)** - This depends on context, but if RSI is above 70, it's overbought (mean reversion) - **A stock's rate of change decreases (and is negative)** - Declining momentum, but this could signal either mean reversion opportunity or continued downtrend ## **Breakout Strategies** - **A stock is above a lower bollinger band** - Thi…

User: Using everything from this conversation, create a mean reverting AND (momentum or breakout) strategy. You can either have one strategy or multiple. We should be looking at technical indicators to see what the market looks like and dynamically changing the strategies. You create the rest of the rules but it must be a rebalancing strategy

Aurora: **Description**: This portfolio implements a dynamic rebalancing strategy that adapts between mean reversion and momentum approaches based on market conditions. The strategy uses SPY as a market proxy to determine the overall market regime and then applies different trading logic accordingly. When the market shows momentum characteristics (50-day SMA above 200-day SMA), the strategy employs a momentum approach by rebalancing to SPY and QQQ when their short-term moving averages are above longer-term averages, indicating sustained uptrends. When the market lacks clear momentum (50-day SMA below 200-day SMA), the strategy switches to mean reversion by rebalancing to assets that are oversold - specifically when RSI is below 30 (oversold) or when prices are trading below the lower Bollinger Band, suggesting potential bounce-back opportunities. This dual approach allows the portfolio to capitalize on trending markets when momentum is strong, while also taking advantage of oversold conditions during more volatile or sideways market periods. The strategy rebalances monthly to avoid overtrading while still being responsive to changing market conditions. The portfolio starts with $10,000 an…