Intraday Momentum Trading Strategy (19.6% Annual Returns)
We call the strategy an intraday momentum trading strategy. This is a type of short term trading strategy that seeks to capitalize on rapid intraday price movements in trading assets such as the S&P 500 ETF. By focusing on intraday price movements, traders aim to identify and act on momentum trading aims – profiting from strong upward trend or downward trend in stock price within the trading day.
This strategy, which we found in a research paper by Carlo Zarattini et al., titled An Effective Intraday Momentum Strategy for S&P500 ETF (SPY), focuses on exploiting intraday trends in the S&P 500 ETF (SPY) driven by persistent supply-and-demand imbalances. Unlike traditional momentum models that only trade at the end of the day, this approach identifies and enters trends as they develop. Momentum trading can be applied across various asset classes, including stocks, bonds, and commodities.
This approach is distinct from traditional investment strategies like value investing, which focus on intrinsic value and longer-term horizons. Instead, this investment strategy relies on analyzing asset prices, market sentiment, and technical indicators to anticipate future price movements and generate buy or sell signals. Technical analysis tools help traders spot overbought or oversold conditions, which can indicate potential reversals or continuation of trends.
Momentum strategies can be automated using algorithmic systems, allowing traders to practice momentum trading in demo accounts before trading live. In fact, can momentum trading be automated? Yes, momentum trading can be automated using algorithmic trading systems that utilize technical indicators and risk management techniques to optimize trades based on momentum signals.
Understanding market dynamics, including economic data, news, and regulatory changes, is important for anticipating shifts in asset prices and adjusting the trading plan accordingly. Managing risk is essential, and careful risk management helps avoid significant losses, especially in volatile markets.
Momentum investing can turn into large profits for the trader who has the right personality and can handle the risks involved. Momentum trading works best in a bull market because investors tend to herd more, increasing the potential for profit. Momentum trading can yield strong returns, but it takes discipline, quick decision-making, and constant market monitoring. Traders need to align their time horizons with their risk tolerance, trading style, and market conditions when implementing momentum strategies.
Momentum trading work involves identifying strong price momentum and timing entries and exits based on changes in trend direction. Conclusion momentum trading requires ongoing learning and adaptation to changing market conditions to maximize returns and manage risk effectively.
We have not backtested the strategy ourselves.
Introduction to Momentum Trading
Momentum trading is a widely used short-term trading approach that centers on identifying and profiting from shifts in asset prices. At its core, momentum trading strategies are designed to capture gains by riding strong price trends, buying assets that are moving upward, and selling those that are trending downward. This approach is particularly attractive in markets characterized by frequent price movements and heightened volatility, as it allows traders to capitalize on rapid changes in market sentiment.
Successful momentum traders rely heavily on technical indicators and thorough market analysis to make informed decisions. By closely monitoring price trends and volatility, they can identify potential trading opportunities as soon as they arise.
Tools such as the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) are commonly used to gauge the strength and direction of price momentum. These indicators help traders determine whether an asset is gaining positive momentum or losing steam, providing valuable insights into when to enter or exit a trade.
Momentum trading strategies are not limited to a single asset class—they can be applied to stocks, ETFs, commodities, and other financial instruments. The key is to focus on assets that exhibit strong price momentum and clear trends, as these are more likely to generate significant profits in a short period. By analyzing asset prices and using technical indicators to track price movements, momentum traders can stay ahead of the curve and react quickly to changing market conditions.
Ultimately, momentum trading aims to exploit the persistence of price trends, allowing traders to benefit from both upward and downward movements in the market. By combining technical analysis with a disciplined trading plan, momentum traders can navigate market volatility and enhance their chances of success.
The Core Momentum Trading Strategies and Rules
The foundation of the strategy is the authors’ Noise Area, a mathematically defined equilibrium zone where prices are expected to oscillate without a clear trend. The authors were rather “cryptic” about the trading rules, so we recommend reading the code (see link below) or the original paper.
- Dynamic Boundaries: The boundaries of this area are time-of-day dependent and are calculated based on the average price movement from the open over the previous 14 days.
- Overnight Gap Adjustments: To ensure accuracy, the boundaries are adjusted to account for overnight price gaps, which often signal immediate imbalances.
- Entry Signals: A long position is initiated when the price crosses above the Upper Boundary, indicating abnormal buying pressure. Conversely, a short position is triggered when the price falls below the Lower Boundary.
- Stop loss: Volume Weighted Average is used as a protective stop (more below).
- Dynamic position sizing: Dynamic adjustment of position size based on daily market volatility
- Semi-Hourly Execution: To filter out “noise” and transient price spikes, trades are only executed on semi-hourly intervals (at the top or bottom of the hour).
- Commission fee of $0.0035 per share, which represents the entry-level commission charged by Interactive Brokers.
Here’s an example of such a boundary:
Intraday momentum strategy trading rules
A key characteristic of this model is that its noise thresholds are dynamic and change throughout the trading day. As a result, the price movement needed to signal a demand–supply imbalance is not constant: it differs, for instance, between the first 30 minutes of trading and the first six hours.
In general, the average intraday move from the Open increases as the day progresses, typically reaching its maximum around 16:00. As illustrated by the simplified example in Figure 1, a decline of just −0.30% from the Open by 10:30 was sufficient to indicate abnormal selling pressure, only half of the move required to trigger the same signal by 15:30.
The authors provided two trade examples in their research paper:
Intraday momentum trading strategy examples
If you want the code to better understand the trading rules, please look at this source:
Choosing the Best Securities
Selecting the right securities is a cornerstone of any successful momentum trading strategy. Momentum trading relies on capturing strong price movements, so momentum traders focus on assets that consistently exhibit high volatility, robust liquidity, and clear price trends. The goal is to identify momentum stocks that are poised for significant price swings, allowing traders to capitalize on both upward and downward momentum in various market conditions.
To identify potential trading opportunities, momentum traders often turn to technical indicators such as the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD). These momentum indicators help pinpoint stocks that are either gaining positive momentum or showing signs of losing momentum, signaling possible entry and exit points.
For example, a stock with a high RSI may be considered overbought, while a low RSI could indicate oversold conditions—both scenarios can present opportunities for momentum trading, depending on the broader market context.
Liquidity is another critical factor. Stocks with high average trading volumes enable traders to enter and exit positions efficiently, minimizing slippage and ensuring that trading signals can be acted upon swiftly. Momentum trading strategies also favor securities that have exhibited strong price momentum in the past, as these are more likely to continue trending in the short term. Sectors known for volatility, such as technology, biotechnology, and emerging industries like renewable energy, often provide fertile ground for momentum traders seeking significant profits.
Market conditions play a pivotal role in security selection. In a bull market, momentum traders typically seek out stocks with upward momentum and strong price action, while in a bear market, they may focus on assets showing downward trends. Monitoring market sentiment and volatility spikes can help traders adjust their trading plan and risk management techniques accordingly, ensuring they are positioned to benefit from prevailing market momentum.
Effective risk management is essential when trading volatile markets. Momentum trading requires the use of stop-loss orders, dynamic position sizing, and careful monitoring of technical analysis tools to avoid false signals and limit downside risk. By combining technical indicators, such as the relative strength index RSI and average convergence divergence, with chart patterns and price data, traders can develop a comprehensive trading strategy tailored to their risk tolerance and trading style.
In summary, choosing the best securities for momentum trading involves a blend of technical analysis, market awareness, and disciplined risk management. By focusing on stocks with strong price momentum, high liquidity, and favorable market trends, momentum traders can identify potential trading opportunities and maximize their chances of success. Whether practicing intraday trading, swing trading, or breakout trading, the right security selection is fundamental to achieving significant profits and navigating the complexities of the financial markets.
Technical Analysis for Momentum Trading
Technical analysis is an essential tool for momentum traders, providing the framework needed to identify price trends, chart patterns, and optimal entry and exit points. By analyzing historical price data and applying technical indicators, traders can gain a deeper understanding of market dynamics and make more informed trading decisions.
Among the most popular technical indicators used in momentum trading are the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Bollinger Bands. The RSI helps traders determine whether an asset is overbought or oversold, signaling potential reversals or continuation of trends.
The MACD, or average convergence divergence, is used to spot changes in momentum and identify potential buy or sell signals based on the relationship between different moving averages. Bollinger Bands provide additional context by highlighting periods of high or low volatility, which can indicate when a breakout or reversal may be imminent.
Momentum traders use these technical indicators to pinpoint entry and exit points, ensuring that trades are executed at moments of strong price momentum. For example, a high RSI reading may suggest that an asset is overbought and due for a pullback, while a bullish MACD crossover could signal the start of a new upward trend. By combining multiple indicators, traders can filter out false signals and improve the accuracy of their trading strategy.
Effective risk management is crucial in momentum trading, as the fast-paced nature of the strategy can expose traders to significant downside risk. Managing risk involves setting stop-loss orders to limit potential losses, adjusting position sizes based on market volatility, and adhering to a well-defined risk tolerance. By integrating risk management techniques with technical analysis, momentum traders can protect their capital and maximize their gains, even in volatile markets.
In summary, technical analysis provides momentum traders with the tools needed to identify price trends, manage risk, and execute trades with confidence. By leveraging indicators like the relative strength index RSI and moving average convergence divergence, traders can develop robust momentum trading strategies that adapt to changing market conditions and deliver consistent results.
Trailing Stops, Dynamic Sizing, and Risk Management
The sources highlight that the most effective version of this strategy utilizes sophisticated exit and sizing rules to protect capital:
- VWAP Trailing Stops: The model uses the Volume Weighted Average Price (VWAP) combined with the current Noise Area boundary as a trailing stop. If the price crosses either level, the position is closed immediately to mitigate the risk of sudden reversals.
- Dynamic Position Sizing: Rather than using a fixed amount of capital, the strategy adjusts exposure based on daily market volatility. It targets a daily volatility of 2%; if the market is twice as volatile as usual, the position size is halved.
- No Overnight Exposure: All positions are strictly closed at the market close (16:00) to avoid the risks associated with overnight gaps.
Performance and Results
Through rigorous backtesting from May 2007 to early 2024, the refined intraday momentum trading strategy delivered exceptional results net of commissions and slippage:
- Total Return: The strategy achieved a staggering 1,985% total return.
- Annualized Return: It maintained a consistent 19.6% annualized return.
- Risk-Adjusted Gains: The strategy produced a Sharpe Ratio of 1.33, significantly higher than the 0.45 produced by a passive buy-and-hold strategy on the SPY during the same period.
- Market Independence: The strategy showed a beta slightly below 0, meaning its returns are largely independent of broader market trends, providing excellent diversification.
- Volatility Resilience: Performance historically improves during high-volatility regimes, with the Sharpe Ratio escalating to 3.50 when the VIX exceeds 40.
Here’s the equity curve of the strategy:
Intraday momentum trading strategy
The authors used a lockback period of 14 days. However, they provided a table showing that a wide range of lookback periods were profitable.
Intraday momentum strategy
The paper was originally published in the summer of 2024 and included results up to early 2024. Since it was published, it has performed well in out-of-sample:
Intraday momentum strategy returns
Additional Comments
The sources conclude that this strategy is highly effective because it capitalizes on the market’s under-reaction to news, allowing information to be slowly incorporated into prices through persistent intraday trends.
Additionally, the model’s success is bolstered by the delta-hedging activities of institutional dealers, which can amplify price movements when they are forced to rebalance their portfolios.
FAQ
What is the momentum strategy in intraday?
The momentum strategy in intraday is based on the assumption that the stock market keeps moving when certain criteria are met.
How can I earn RS 1000 per day in intraday trading?
You can earn RS 1000 per day in intraday trading by being systematic. It’s an absolute must that you backtest your trading ideas.
What is the best momentum indicator for intraday?
There is no best momentum indicator for intraday. To find a good indicator for intraday trading, you need to backtest.
How do you find momentum stocks for intraday trading?
You find the best momentum stocks for intraday trading by scanning. The scan must, of course, be based on backtesting so that you know that it has worked in the past.
What is the best risk-to-reward ratio for intraday momentum?
There is no best risk-to-reward ratio for intraday momentum. Risk-to-reward ratio depends on the win rate and the average winner and loser.
Comparison of Popular Momentum Indicators
| Indicator | Best Use Case | What it Measures |
| RSI (Relative Strength Index) | Identifying overbought/oversold levels | Speed and change of price movements |
| MACD | Finding trend reversals and crossovers | Relationship between two moving averages |
| VWAP (Volume Weighted Avg Price) | Determining “fair” value within the day | Price relative to volume (crucial for intraday) |
| Bollinger Bands | Spotting volatility breakouts | Price relative to standard deviation bands |
