Stock Market Analysis (5th Inter-IIT Tech Meet), IIT Mandi

Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.

Stock Market Prediction using Machine Learning done as a final year university project. It uses LSSVR to train the model and is programmed in R

Python library to Fetch & Analyze Stock Market data.

Stock Market Decision Support System using Deep Learning & Sentiment Analysis

Application for preprocessing, analysis and anomaly detection of US stock market data on multiple clusters using Apache Spark

Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)

Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using histo…

Data science analysis applied to the world of finance : risk/return portfolio optimisation, Sharpe ratio analysis

Stock market historical price auto correlation calculation and display as color-map. Uses pure Javascript, CSS and Convex 2D

Using machine learning to predict stock market trends.

VBA script analyzing the stock market

Stock Market modeled as a Multi-Agent System

VBA project analyzing stock market data

Yet another (fully open source) stock market charting application; C++ on Linux using Alpha Vantage market data back-end.

The VBA of Wall Street, Stock Market Analysis

😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉

Year-Over-Year Stock Analysis in Excel