The future of forecasting in financial markets

Foresight


My article on “The Future of Financial Market Forecasting” is to be published in the forthcoming issue of Foresight: The International Journal of Applied Forecasting. This journal is something of a link between the academic and business communities. There is also an interview with me that follows the article. And, I have now joined the editorial board of the journal.

I have identified five important trends: the rise of the supercomputer, forecasting with natural language processing, smarter pattern recognition and pattern recall, greater skill in identifying expert forecasters, and better recognition of bubbles and crashes.

To download the article, click here: Future of Financial Forecasting

Posted in Book Two: Twenty-Four Trading Strategies Based on Scientific Findings About Technical Analysis, Bubbles and Crashes, scientific understanding of financial markets 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