I mean, run the experiment during a different trend in the market and the results would probably be wildly different. This feels like chartists [1] but lazier.

[1] https://www.investopedia.com/terms/c/chartist.asp

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refactor_master 17 hours ago | parent | next [-]

If you've ever read a blog on trading when LSTMs came out, you'd have seen all sorts of weird stuff with predicting the price at t+1 on a very bad train/test split, where the author would usually say "it predicts t+1 with 99% accuracy compared to t", and the graph would be an exact copy with a t+1 offset.

So eye-balling the graph looks great, almost perfect even, until you realize that in real-time the model would've predicted yesterday's high on today's market crash and you'd have lost everything.

	▲	blitzar 2 hours ago \| parent [-]
		if you feed in price i.e. 280.1, 281.5, 281.9 ... you are going to get some pretty good looking results when it comes to predicting the next days price (t+1) with a margin of +/- a percent or so.

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throwawayffffas 4 hours ago | parent | prev [-]

To be fair to chartists, they try to identify if they are in a bear market or one is coming and get out early.