Blog Archives

The correlation between volume and price direction, part 1

Alsubaie and Najand (2009), from the Department of Public Administration, Saudi Arabia, and Old Dominion University, Norfolk, Virginia, examined the relationship between abnormal changes in trading volume and short-term price behavior in the Saudi stock market. Considering prior research and

Posted in Book Two: Twenty-Four Trading Strategies Based on Scientific Findings About Technical Analysis Tagged with: , , , , , , , , , , , , , , , , , , , , , , , , , ,

Log periodic signature associated with bubbles and crashes.

Johansen, Sornette, and Ledoit (1999) and Johansen, Ledoit, and Sornette (2000), all from UCLA at that time, argued that financial bubbles and crashes exhibited unique mathematical signatures known as log-periodic oscillations. This refers to a sequence of oscillations with progressively

Posted in Bubbles and Crashes Tagged with: , , , , , , , , , , , , , , , , , , , , , , ,

Do investors exhibit cyclic patterns of behavior?

Kamstra, Kramer and Levi (2003) – from the Federal Reserve Bank of Atlanta, the University of Toronto, Canada, and the University of British Columbia, Canada – examined returns from several large stock exchanges around the world at varying latitudes and

Posted in Book One: Forty Trading Strategies Based On Scientific Findings About Analysts' Forecasts Tagged with: , , , , , , , , , , , , , , , , , , , , , , , ,

Are exponential moving averages superior to simple moving averages?

Camillo Lento (2010), of Lakehead University, Thunder Bay, Ontario, Canada, examined dual moving average crossover systems, comparing simple with exponential moving averages. The analysis was conducted on the exchange traded funds for the S&P 500 (SPY), NASDAQ (QQQ), and Dow

Posted in Book Two: Twenty-Four Trading Strategies Based on Scientific Findings About Technical Analysis Tagged with: , , , , , , , , , , , , , , , , , , , , , , , , ,

Book Three: Trading With The News

Learn about a news-based trading system that yielded a back-tested, average annualized, compounded return from 2000 to 2011 of 58.6%.

“Only once you’ve done your homework will you be able to understand how the stock market works and learn to distinguish between news and noise.” Maria Bartiromo, Use The News

Book Two: Technical Analysis

Learn about the "trend recalling" algorithm that yielded researchers a simulated annual return of greater than 400% in multiple tests.

“The scientific method is the only rational way to extract useful knowledge from market data and the only rational approach for determining which technical analysis methods have predictive power.”
David Aronson, Evidence Based Technical Analysis

Book One: Analysts’ Forecasts

Learn the strategy, based on analysts' revised forecasts, that yielded researchers an average of 1.13% - 2.19% profit per trade, for trades lasting one to two days?

Learn how certain analysts' recommendations, following brokerage hosted investment conferences, yielded profits of over 3% during a two-day holding period?

Learn how researchers found an average profitability of 1.78% for two-hour trades following an earnings announcement?

"This set of tools can help both ordinary and professional investors alike to re-think and re-vitalize their stock picking, timing and methods. A young, aspiring Warren Buffet could put this book to good use."
James P. Driscoll, PhD, investor

Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments by David Aronson (software included)

Evidence-Based Technical Analysis by David Aronson

Archive of Earlier Posts