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by xkeysc0re
1920 days ago
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Get historical price data as well as historical sentiments / tweets from the past N years or so that reference the stock or company. Create sentiment + pricing pairs (so find a way to sum, average, or otherwise normalize sentiment - you might also want to make the price a tuple or vector) and then train your model on that: sentiment score and current price as input, new price as output. You'll probably have to write some additional tooling to munge and prepare this data and then feed it into the model pipeline |
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