Minimizing Slippage: Using Bid-Ask Spread Data as a Strategy Filter During High Volatility Events
In the complex world of quantitative trading, the difference between a profitable strategy and one that hemorrhages capital…
March Madness in the Markets: Identifying Key Seasonal Buying Opportunities Before Q2
The term “March Madness in the Markets: Identifying Key Seasonal Buying Opportunities Before Q2” refers not to the…
August’s Anomaly: Why This Month Often Presents Unique Trading Challenges and Low Volume
As part of understanding market cycles outlined in Mastering Market Seasonality: Strategies for Trading Stocks, Forex, and Crypto…
The Best Time of Day to Trade Forex: Combining Daily and Monthly Cycles
Determining The Best Time of Day to Trade Forex: Combining Daily and Monthly Cycles is the pinnacle of…
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…