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Is training on technical indicators using machine learning strategy viable?

I have a machine learning algorithm that trains on some technical indicators

input: RSI, BB bands, stochastic, etc..

output: 1 (buy)/ 0 (sell) based on whether price closed higher than MA(5)

It has generated good results in the backtest but i believe it is fundamentally flawed. Can anyone explain to me why such a method is flawed?

Submitted October 27, 2020 at 12:20AM by geriophile
via https://ift.tt/31LLPW4

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