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.
☆96Updated last year
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 …☆135Updated 3 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆92Updated 5 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆75Updated 5 years ago
- ☆203Updated 3 weeks ago
- 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…☆118Updated 6 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 …☆61Updated 5 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆282Updated 2 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- A collection of notebooks I used in my Medium articles.☆142Updated 3 years ago
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆136Updated 5 years ago
- Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Li…☆171Updated 6 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 8 years ago
- Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financ…☆93Updated 4 years ago
- Using a dataset of hedge fund indices, I had computed various risk parameters, explicitly Value at risk (VaR), drawdown and deviation fro…☆26Updated 5 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆163Updated last year
- Programs for stock prediction and evaluation☆366Updated 2 weeks ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆52Updated 5 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 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…☆61Updated 4 years ago
- applications for risk management through computational portfolio construction methods☆44Updated 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…☆45Updated 5 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆56Updated 4 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆125Updated 6 years ago
- A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.☆92Updated 2 years ago
- A network tries to predict movements in stock prices based on a picture of a time series stock price.☆39Updated 4 years ago
- Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to tra…☆55Updated 3 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.…☆71Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- ☆77Updated last year
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆75Updated last year