Trump2cash – A stock trading bot powered by Trump tweets

Or backtrader (backtesting and live trading with Oanda and IB)

https://github.com/mementum/backtrader

Looks like deciding the sentiment of the tweet is still on the to-do list.

def get_sentiment(self, text): """Extracts a sentiment score [-1, 1] from text."""

        # TODO: Determine sentiment targeted at the specific entity.

"The efficient markets hypothesis may be "the best established fact in all of social sciences," but the best established fact in all of financial markets is that, when there is news about a big famous private company going public or being acquired, the shares of a tiny obscure public company with a similar name will shoot up. I don't know what that tells you about the efficient markets hypothesis, but it happened to Nestor, Inc., and to Tweeter Home Entertainment, and to Oculus VisionTech Inc., and now it has happened to SNAP Interactive Inc.:

In what is almost surely a case of mistaken identity, investors sent shares in a little known startup called SNAP Interactive Inc., ticker STVI, surging 164 percent in the four days since Snap Inc. filed for a $3 billion initial public offering. The $69 million SNAP Interactive makes mobile dating apps, while the IPO aspirant is the parent of the popular Snapchat photo-sharing app. These stories are always less impressive when expressed in dollar terms than they are in percentages. In the four trading days since Snap Inc. filed its S-1, SNAP Interactive has traded 19,963 shares, worth less than $200,000, according to Bloomberg data. If you had a cunning plan to buy up SNAP shares and sell them for a quick profit when Snap filed to go public, it might have worked, but not in particularly huge size."

article here: https://www.bloomberg.com/view/articles/2017-02-09/quasi-ind...