gautham20 / Acquisition-PredictionLinks
A machine learning approach to predict the acquisitions market
☆11Updated 8 years ago
Alternatives and similar repositories for Acquisition-Prediction
Users that are interested in Acquisition-Prediction are comparing it to the libraries listed below
Sorting:
- Project includes scripts to set up a securities master database with stock and ETF timeseries data☆10Updated 9 years ago
- R code for dealing with the Commitment of Traders report.☆16Updated 8 years ago
- Converts the full Yahoo Finance stocks list into a .csv file with ticker symbol, company name, exchange and country mapped.☆19Updated 10 years ago
- Scrape financial news and use NLP to determine sentiment and make decisions about whether to buy or sell☆9Updated 9 years ago
- ☆10Updated 6 years ago
- ☆10Updated 10 years ago
- Analysis of mutual fund schemes in India☆15Updated 9 years ago
- MetaTrader 4 - Calculate in real-time the lots with percentage risk for trade☆9Updated 8 years ago
- Predication of stock market price using different machine learning models☆12Updated 5 years ago
- Merge and Acquisitions Prediction based on M&A information from Crunchbase.☆35Updated 8 years ago
- ☆17Updated 7 years ago
- Trading strategy based on the Maximum Pain Theory☆10Updated 8 years ago
- ☆10Updated 7 years ago
- Financial modeling in R☆24Updated 4 years ago
- Algorithmic Trading with Machine Learning☆15Updated 9 years ago
- Final project for CS3892 - Big Data☆13Updated 9 years ago
- An easy to use Python interface to optionshouse (trademonster) proprietary XML based API.☆9Updated 7 years ago
- This File provides a framework for valuation of equities. It includes financial statements, calculation of key ratios, WACC, Bond list, C…☆19Updated 5 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆48Updated 4 years ago
- Python implementation of Antonacci's GEM ("Global Equities Momentum") strategy☆58Updated 7 years ago
- Implements the "Trending Value" strategy introduced by James O'Shaughnessey in his book, "What Works on Wall Street"☆12Updated 3 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- 3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner…☆23Updated 7 years ago
- WARNING: This repository is no longer maintained This repository will not be updated. The repository will be kept available in read-only…☆12Updated 6 years ago
- Share Market Prediction App using Markov Chains Model☆17Updated 8 years ago
- Application allow you to trade Hi/Low(european) binary options using virtual money. Simulator uses real forex exchange rates.☆9Updated 7 years ago
- Tool for technical analysis of financial data about companies indexed on the stockmarket using machine learning☆10Updated 7 years ago
- The Valuation of Convertible Bonds with Credit Risk (for Honours in Advanced Mathematics of Finance research project, at the University o…☆11Updated 12 years ago
- Investment Insights for Asset Managers is a modern finance portfolio manager that provides real-time insight into how news all around the…☆26Updated 7 years ago
- Export 15 years P&L and BS data from moneycontrol. Correlation analysis of various heads. Mean & Std. Graphs of YoY changes and projectin…☆27Updated 5 years ago