I hope this an OK place to post this and please let me know if its not.

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If it is, I’m looking to hire someone who is able to recreate a research paper I’m reading in Python. I’m not really interested in the actual set up of the ANN model as I am in the wavelet transform and PCA portion that they did in the per-processing step. It would be good if whoever was hired had a deep understanding of that space and was able to implement tweaks and changes if necessary.

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The paper is here but the crux of it is they took open, high, low, and close data on 6 Asian stock indices, applied wavelet transform to all 4 features (separately and individually), added technical indicators and used PCA to select features before feeding the inputs to a ANN.

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0156338#pone.0156338.s012

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I should note that I know this is a financial paper but please don’t mistake this as someone who sees big returns and is just trying to hire someone to rebuild their project to capitalize on it. I don’t think the returns cited in this paper are realistic and I have no intentions of trying to trade it or use it to make money. It’s more about my own edification. I dont have a high level math background and Ive spent hours reading about wavelet transforms and it still seems a bit daunting.

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If you’re interested in talking further, please shoot me a message and we can go from there.