https://github.com/Ronak-59/Stock-Prediction

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
https://github.com/Ronak-59/Stock-Prediction

algorithms artificial-intelligence data-science lstm-neural-network machine-learning risk-analysis sentiment-analysis stock-prediction stock-price-prediction visualisation

Last synced: 20 days ago
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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

• Host: GitHub
• URL: https://github.com/Ronak-59/Stock-Prediction
• Owner: Ronak-59
• Archived: true
• Created: 2018-03-18T04:54:45.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2020-02-28T11:43:16.000Z (over 6 years ago)
• Last Synced: 2024-08-12T00:37:16.461Z (almost 2 years ago)
• Topics: algorithms, artificial-intelligence, data-science, lstm-neural-network, machine-learning, risk-analysis, sentiment-analysis, stock-prediction, stock-price-prediction, visualisation
• Language: JavaScript
• Homepage:
• Size: 25 MB
• Stars: 206
• Watchers: 16
• Forks: 90
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-github-projects - Stock-Prediction - 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 ⭐219 `JavaScript` (📦 Legacy & Inactive Projects)

README

          
# 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](Screenshots/blah.png)

## Features Used to Segregate Trading Algorithms :

* Mutual Funds Analysis

* Prediction Analysis

* Portfolio Risk

* News Sentiment Analysis 

![Stock Trending](Screenshots/algo.png)

![Algo Comparision](Screenshots/algo2.png)

![Exploratory Data Analaysis](Screenshots/1.png)

Time Series Data 

![Histogram Analysis](Screenshots/2.png)

JP Morgan Stock Analysis 

Credits :

Team Semicolon :

* [Ronak Doshi](https://www.github.com/Ronak-59)

* [Karthik Nair](https://www.github.com/KrUciFieR-Jr)

* [Shikhar Shah](https://www.github.com/shikhar96)

* [Karan Shah](https://www.github.com/karanfc)

* [Nikesh Shah](https://www.github.com/Nikesh2712)

* [Feya Shah](https://www.github.com/fshah21)

* [Aneri Shah](https://www.github.com/Aneri2807)

* [Himanshu Vaghela](https://www.github.com/himanshuvaghela)