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A project which we developed at NSE Hackathon.

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NSE FutureTech 2018 Machine Learning Hackathon

Problem Statement:

Market Event based trading

Generate or recommend trading orders based on news feeds. Solve for creating orders based on any change to the economic affairs of a country or industry or company and the knock-on impacts on the share markets. Generate basket orders based on sector news, e.g. banking stock in response to change in interest rates, forex rates, and negative or positive media coverage.

Solution:

1. Here the user enters the Stock Name and the number of tweets from which the user wants the stock review.

screenshot from 2018-03-18 11-17-01

2. Then the user gets the sentiment for the stock and the opening price of the stock for the next day.

hack1

3. This line chart shows the overall range of the closing and opening prices of the stock on yearly basis.

screenshot from 2018-03-18 11-11-42

4. This bar graph shows the user the differnce between today's closing price of the stock and tomorrow's opening price so that he can buy/sell the stock accordingly.

screenshot from 2018-03-18 11-11-51

This was our solution to Stock Price Prediction based on media coverage(Twitter).

Team Quabanc:

  1. Pujan Mehta
  2. Dhruv Bhagadia
  3. Sahil Jajodia
  4. Ruturaj Gujar

WE WELCOME MORE IDEAS!!

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A project which we developed at NSE Hackathon.

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