Inspiration
To try and model the stock price movement pattern
What it does
Predicts the probability of the stock moving up or down. Data has been scraped for 500 days. For each day: opening price, day maximum price, minimum price, closing price, trading volume is present. Prediction: The probability of stock movement for day 10 given trend for last 9 days. Prediction in the range of 0 to 1; where 1 is stock will surely move up.
How we built it
Using scikit-learn
Challenges we ran into
Scraping the data
Accomplishments that we're proud of
Accuracy of above 92%
What we learned
Various algorithms and it's implementation
What's next for Stock price movement
Improve the accuracy by trying various other models
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