mohabmes / pystocklib
Python library to Fetch & Analyze Stock Market data.
☆29Updated 6 years ago
Related projects: ⓘ
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆44Updated 6 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆51Updated 5 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 6 years ago
- Stock and Forex market prediction using ML and time-series modelling☆33Updated 5 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 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 6 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆91Updated 2 years ago
- Using Machine Learning for live currency trading☆36Updated 5 years 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…☆86Updated 5 years ago
- ☆69Updated this week
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆21Updated 6 years ago
- Portfolio optimization with cvxopt☆14Updated last year
- Optimization techniques on the financial area for the hedging, investment starategies, and risk measures☆41Updated 4 years ago
- Stock price trend analysis using Fourier transform☆43Updated 5 years ago
- Stock Prediction using machine learning☆59Updated 6 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆74Updated 4 years ago
- Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies…☆36Updated 3 years ago
- Stock analysis and prediction - fundamental, quantitative, technical analysis and machine learning.☆10Updated last year
- Stock Prediction with XGBoost: A Technical Indicators' approach☆27Updated 5 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆42Updated 4 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆31Updated 6 years ago
- Machine Learning for Trading☆14Updated 6 years ago
- Stock Market Decision Support System using Deep Learning & Sentiment Analysis☆22Updated 6 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆41Updated 4 years ago
- My approaches to Financial Forecasting Challenge by G-Research☆42Updated 5 years ago
- elliott wave labelling☆19Updated 3 years ago
- Deep q learning on determining buy/sell signal and placing orders☆46Updated 5 years ago
- Stock market and Twitter data☆25Updated 7 years ago
- Deep Trading using Convolutional Neural Network☆27Updated 6 years ago
- ☆63Updated 6 years ago