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Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

CSS 6.40% HTML 36.29% JavaScript 56.34% PHP 0.07% CoffeeScript 0.76% Shell 0.01% Python 0.07% TSQL 0.07%
machine-learning artificial-intelligence sentiment-analysis stock-prediction algorithms risk-analysis lstm-neural-network stock-price-prediction data-science visualisation

stock-prediction's Introduction

Stockopedia

Investing your dreams by accessing more heuristics states by using Deep Learning.

Stateful LSTM

We have used Multistep Time Series Data Prediction using the batching property of LSTM (Stateful LSTM). It Learns using various parameters analyzed with right amount of brain storming

We have used Dow Jones Top 30 Stocks as a primary dataset.

Broker Dashboard

Features Used to Segregate Trading Algorithms :

  • Mutual Funds Analysis
  • Prediction Analysis
  • Portfolio Risk
  • News Sentiment Analysis

Stock Trending Algo Comparision

Exploratory Data Analaysis Time Series Data

Histogram Analysis JP Morgan Stock Analysis

Credits : Team Semicolon :

stock-prediction's People

Contributors

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