September Slump: Data Analysis on the Worst Performing Month for Stocks and Defensive Strategies
The study of market seasonality reveals several compelling patterns, but none are perhaps as notorious or as consistent…
October’s Turnaround: How Historical Volatility Sets Up Year-End Rallies and Recovery
While September often earns the infamous title of the worst-performing month, October presents a profound and often contradictory…
February’s Financial Forecast: Analyzing Historical Stock Returns and Sector Rotation Opportunities
As the calendar turns past the initial burst of the “January Effect,” investors face a critical transition period…
The January Effect Explained: Myth vs. Reality in Modern Stock Trading
The phenomenon known as The January Effect Explained: Myth vs. Reality in Modern Stock Trading is perhaps the…
Mastering Market Seasonality: Strategies for Trading Stocks, Forex, and Crypto Cycles
Market seasonality is one of the most powerful, yet often misunderstood, tools available to quantitative traders and long-term…
Building Custom Indicators to Visualize Historical Seasonal Trends on Your Charts
The ability to quantify and visualize historical patterns is the bedrock of quantitative trading. While tables of data…
Using Seasonal Data to Time Entry and Exit Points for Long-Term Investments
While the broader field of market seasonality focuses on high-frequency trading opportunities across various asset classes, long-term investors—those…
July’s Rally Potential: Examining Mid-Summer Sector Strength and Weakness Data
As we transition past the volatile mid-year period defined by June Jitters, traders turn their attention to the…
Crypto Seasonality: Analyzing Bitcoin’s Monthly Performance Cycles (2017-Present)
Seasonality in financial markets refers to the predictable cyclical patterns that assets follow based on the time of…
April Showers Bring May Flowers: Seasonal Trading Strategies for Q2 Stock Performance
The adage “April Showers Bring May Flowers” is a common folk saying applied to weather patterns, but it…