This projects sets out to find correlation between professional sentiment and stock market prices. The data set to be used is financial news from Interactive Broker and corresponding market prices.
The objective is to implement some kind of trading strategy that uses professional market sentiment.
Setting out to implement sentiment analysis on a professional communication platform sounds ambitious and potentially subjective (unless Interactive Broker has some kind of automatic sentiment meter). This will open up a potential margin of error where the sentiment analysis is the weak link. However, it is an interesting idea and is compelling in its simplicity. Like an automated amateur day trader. The project proposal is a little bit sparse, I would like to know more about how the sentiment analysis will be performed. It may be interesting to open up the data under consideration and combine the Interactive Broker dataset with some dataset on public stock sentiment.
This projects sets out to find correlation between professional sentiment and stock market prices. The data set to be used is financial news from Interactive Broker and corresponding market prices. The objective is to implement some kind of trading strategy that uses professional market sentiment.
Setting out to implement sentiment analysis on a professional communication platform sounds ambitious and potentially subjective (unless Interactive Broker has some kind of automatic sentiment meter). This will open up a potential margin of error where the sentiment analysis is the weak link. However, it is an interesting idea and is compelling in its simplicity. Like an automated amateur day trader. The project proposal is a little bit sparse, I would like to know more about how the sentiment analysis will be performed. It may be interesting to open up the data under consideration and combine the Interactive Broker dataset with some dataset on public stock sentiment.