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> Is there really any point in learning an open source framework, where I can assume that the most profitable strategies it can produce are already being used b
by Galanwe 5y ago
> Is there really any point in learning an open source framework, where I can assume that the most profitable strategies it can produce are already being used by someone?
In practice, yes, because the methodology itself is only as good as the data you feed it.
There's only so much you can do with e.g. ML. The framework gives you that methodology. You can fiddle with it, fine tune it, etc, but that's often just marginal gain. The real juice is in the features that you prepared, and the data you have available for these features.
- t_mann 5y agoHmm, but seen under this angle, it seems even worse, no? The tool lists about a dozen well-known public data sources that it's compatible to work with, you can't expect to gain any edge from those. Sure, you could learn how to fit your proprietary data into this tool, but that goes back to my point, why not learn how to work with TensorFlow or whatever ML framework directly? They're not that difficult that you'd need a wrapper.