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stock-market

This is a replica of a stock exchange website where users can register themselves and sign-in, look up the current prices of stocks ,buy and sell shares in real time

stock-market-1

Stock Market website creation

stock-market-2

A virtual stock trading website with an account for users to register for, the ability to get quotes for shares of stocks and to virtually buy or sell them. We’ll also have a history page for each account to see what all transactions.

stock-market-analysis-and-prediction

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

stock-market-ml

Machine Learning using Historic Stock Market Data and Twitter Sentiment Analysis

stock-market-prediction

:money_with_wings: A website to provide the user with decision assistance for stock markets.

stock-market-prediction-and-analysis

A guide to handle historical Stock market data.

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

stock-market-recommendation-system

The information system chosen for the project was a stock investment management website providing live prices, historical data, news articles, etc and also basic analysis and recommendations using data mining techniques. 1. Crawling and parsing Yahoo-Finance, Reuters and Twitter data (Java, twitter4j). 2. Web Interface using J2EE and Struts-2 framework. jQuery (highstocks lib) for showing technical charts. 3. Database integration, data cleaning, feature selection on the collected data and applying linear regression and classification algorithms : SVM, Naive Bayes to produce detailed analysis and recommendations.

stock-market-simulation-game

Software Engineering II (COMP3006L)

stock-market-simulator

A website that allows users to practice trading stocks with virtual money. Real-time stock quotes and symbols are generated by IEX’s API

stock-movers

S&P 500 gainers, losers, most active & top volume stocks

stock-pattern-identifier-website

Enter the ticker/symbol of a stock, and be notified of the dates (if any) where common trading patterns occur. Once a valid ticker is entered, a live chart containing stock candles and prices over the past month will be displayed.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-price-predictor

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

stock-scrapper

A Python script to scrape stock data and compute MACD.

stock-trading-system

Full-stack web application allowing users to collaborate and observe the U.S. stock market in real time

stockanalysis

Playing around with stock market data in python

stockcat

stock analyze

stocker

Stock Price Prediction

stockerr

finance website using javascript and alpha vantage api

stockfinder

Search for stocks by ticker name and save a personal watchlist.

stockinsight

stockmarketprediction

This is a webapp which predicts stock prices for Indian stock markets(can be used for other stock markets as well) using both fundamental and technical analysis

stockmarketwebsite

A Stock Trading website made as a capstone project for CS 6314 – Web Programming Languages Class under Dr. Mithun Balakrishna.

stockpredictingapp

stockprediction

CS6101 Group Project on Stock Trading using RL

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockpriceprediction

Predicting stock price movement using social media analysis

stockr

Stock Market Prediction API through LSTMs built using Keras, TensorFlow and Flask