ImanolR87 / AI-Learn-to-investLinks
Machine Learning Project applied to stock market portfolio optimization
☆35Updated 4 years ago
Alternatives and similar repositories for AI-Learn-to-invest
Users that are interested in AI-Learn-to-invest are comparing it to the libraries listed below
Sorting:
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Updated last year
- SheikhRabiul / A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-MarketIllegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acq…☆104Updated 6 years ago
- Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financ…☆86Updated 4 years ago
- A machine learning approach to investment portfolio composition. The program analyzes the fundamentals of the listed companies on the S&P…☆75Updated 5 years ago
- Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.☆76Updated 3 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆35Updated 7 years ago
- Machine Learning for Quantitative Finance☆24Updated 7 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 3 years ago
- An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The perfor…☆34Updated last year
- Material for QuantUniversity talk on Sythetic Data Generation for Finance.☆116Updated 4 years ago
- The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance☆106Updated 3 years ago
- Optimization techniques on the financial area for the hedging, investment starategies, and risk measures☆42Updated 5 years ago
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆44Updated 5 years ago
- A collection of notebooks I used in my Medium articles.☆142Updated 3 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆96Updated last year
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆89Updated 5 years ago
- Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics…☆120Updated 4 years ago
- Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to tra…☆54Updated 3 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by…☆54Updated 4 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated 2 years ago
- Portfolio optimization with cvxopt☆41Updated 7 months ago
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆60Updated 5 years ago
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆131Updated 4 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆74Updated 4 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 4 years ago
- ☆102Updated 3 years ago
- ☆29Updated 2 years ago