Why is it so hard to predict stock prices?
We investigated these questions using methods that originate from the job, in aerospace engineering (secret clearance). Our primary tools are digital signal processing and Fourier methods. No statistics.Read More
We cannot do anything about the markets…
On the main page of this web site, we show a Fourier transform of the Dow Jones Average for a 56 year period.Read More
“The Herd” vs “The Science”
The predictive implications are extremely interesting, but for a public web site discussion, we will simply say that Clive W Granger explicitly discussed quasi-periodic behavior in 1968.Read More
Guide: Stock Predicting Algorithm Design
The venue of proficient modeling and prediction is with entities who are experts in signal processing, engineering, and applied mathematics.Read More
Comparing AI-Powered Equity ETF and S&P 500
The AIEQ ETF trades on the NYSE (New York Stock Exchange). All the trading decisions are made by an AI computer algorithm.Read More
Data Visualization Using the Fourier Transform
The Fourier transform is used to explore and process digital data, also known as discrete data, or sampled data, or a time series signal.Read More
Building a Better Stock Market Prediction Algorithm
In the case of weather prediction, physical variables such as temperature, velocity, humidity, and density are available …Read More
Low Frequency Trading
HFT is a method of trading that uses powerful computer programs to transact a large number of orders in fractions of a second. (Investopedia)Read More
Stock Prices: Meaning of Volatility
Physically, “volatility” is the wiggling of stock prices or index values, as illustrated by Shiller’s figure, above.Read More
Not Everything In Math Has Been Discovered Yet
For example, what equations will describe the physics in a black hole?
No one knows yet.Read More