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OP: how can you expect to be taken seriously if you don't publish backtests, and overfitting analysis?!

It is _extremely_ likely that your model's guesses are just as bad as coin flips.

I will do this thank you for your feedback. I didn't release my results until my models were better than baseline in evaluation. Hence better than flipping a coin. I published the results of my evaluations so you can see that. Its not a crystal ball. Its an indicator to help in trading decisions.

I published the evaluation results in the whitepaper. I am doing my training/evaluation with a data split of 70/30. Doesn't that qualify as a proper backtest?

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