I am developing STEM algorithms to improve performance of intraday trades on stocks/ETFs/indexes. The premise is to improve daily gains to obtain steady long term growth. Figure 1 in the Gallery illustrates the "steady" result.
I have invented new mathematical prototypes for solving the noise problem. The core algorithm was reviewed by a mathematician. Seeking collaborators or partners familiar with Fourier, DSP, and stocks/ETFs to implement a wealth creation platform.
My professional background is aerospace engineering. I studied aircraft vibrations during flight tests. I operated in-house software to determine structural vibration modes under different flight conditions. I tracked vibration energy at different locations in the aircraft. I designed custom filters to remove noise from the data. Much of the work included the plotting of frequency domain responses to compare aircraft structural responses under different flight conditions.
In 1985, I noticed that stock price data and structural vibrations look similar. I began to study prices at home after work, employing scientific methods. In 1995, I began to explore the volatility problem in stock prices. The Fourier Slide Deck (Home page) displays visual examples of price energy caused by human activity. The Gallery shows visual examples of systematic people behavior in the data.
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