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

Built With

+ 260 more
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