Using a Keras Long Short-Term Memory Model to Predict Stock Prices
I'm not a purist believer in the efficient market hypothesis.  BUT, I doubt there's much alpha to be gained simply from looking at price data which is widely and publicly available.  Also keep in mind that markets are dynamic feedback loops so even if this model had an edge, the act of publishing this article would work against you to neutralize that edge in the future.<p>There's a good reason the most successful 'quantitative' trading fund, Rennaisance Technologies is so secretive and subjects its employees to a lifetime NDA/non-compete.<p>If there is edge in the market (and I think there are anomalies that can be traded on), I would assume it to come from correlating proprietary datasets with price. Or datasets that have a high barrier to access/analyze.  One example that I'd bet still works in some industries would be counting trucks from a supplier to estimate product demand before the companies announces earnings ;)