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21
votes
8answers
10k views

Digital Signal Processing in Trading

There is a concept of trading or observing the market with signal processing originally created by John Ehler. He wrote three books about it. Cybernetic Analysis for Stocks and Futures Rocket Science ...
2
votes
2answers
100 views

What is the best way of updating data while using Empirical Mode Decomposition to analyze

I have a question about EMD updating new data points. For an entire time series, from beginning to the end, the EMD preforms quite good using the cubic spline function. The problem happens when new ...
2
votes
0answers
102 views

Scale of Market Quakes Computation

I would like to reproduce the results in the paper "The scale of market quakes", from T. Bisig, But I am getting stuck at the computation of the Fourier Coefficients in equation (4). They are defined ...
-1
votes
1answer
190 views

interpreting huge jumps

i have been working on this trading system that uses digital filters to generate signals. the system works fine during normal market hours. but it goes haywire when there is news release. i have ...
1
vote
1answer
37 views

Proper way to combine wavelet coefficients from multiple rounds of analysis

I am doing signal analysis for a time series and the assumption of signal is S = F + e Where S is the original signal, F is the frequency component and e is white noise (auto-regressive time series ...
6
votes
1answer
320 views

Practical Usage of Wavelets with Real Time Data

There are a lot of papers out there which make attempts to forecast or discuss the benefits of wavelets for frequency decomposition. Oddly, very few discuss the huge boundary effects that are present ...
4
votes
2answers
859 views

How to calculate optimal standard deviation bands for trading?

I am trading with standard deviation bands (6 bands) on de-trended data. How can I find the most profitable signals with neural network or GA with standard deviation bands? Should I first find the ...