Nikhilkohli1 / Stock-Prediction-Portfolio-OptimizationLinks
A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.
☆92Updated 11 months ago
Alternatives and similar repositories for Stock-Prediction-Portfolio-Optimization
Users that are interested in Stock-Prediction-Portfolio-Optimization are comparing it to the libraries listed below
Sorting:
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 2 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
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆270Updated 2 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆88Updated 4 years ago
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆126Updated 4 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆142Updated last year
- Programs for stock prediction and evaluation☆362Updated 7 months ago
- Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Li…☆166Updated 5 years ago
- 1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock.…☆69Updated last year
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆55Updated 4 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 6 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆34Updated 6 years ago
- Using a dataset of hedge fund indices, I had computed various risk parameters, explicitly Value at risk (VaR), drawdown and deviation fro…☆24Updated 4 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆62Updated 4 years 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
- applications for risk management through computational portfolio construction methods☆43Updated 4 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆125Updated 5 years ago
- Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers t…☆102Updated 2 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
- Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.☆75Updated 3 years ago
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆47Updated 5 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 4 years ago
- Including packages that frequently used in quantitative finance field and how to implement classic financial model in Quantopian.☆47Updated 6 years ago
- Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to tra…☆53Updated 3 years ago
- Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go☆77Updated 4 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆72Updated 5 years ago
- Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by…☆54Updated 3 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago