LastAncientOne / Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
☆1,353Updated last year
Alternatives and similar repositories for Deep_Learning_Machine_Learning_Stock:
Users that are interested in Deep_Learning_Machine_Learning_Stock are comparing it to the libraries listed below
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆1,761Updated this week
- Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy☆1,135Updated 4 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆872Updated 11 months ago
- Using python and scikit-learn to make stock predictions☆1,830Updated 9 months ago
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆925Updated last year
- Research in investment finance with Python Notebooks☆970Updated 3 years ago
- Resources for Quantitative Finance☆732Updated 9 months ago
- A program for financial portfolio management, analysis and optimisation.☆1,502Updated last year
- Quantitative analysis, strategies and backtests☆2,453Updated last year
- A complete set of volatility estimators based on Euan Sinclair's Volatility Trading☆1,660Updated 5 months ago
- A framework for quantitative finance In python.☆781Updated last year
- A nimble options backtesting library for Python☆1,053Updated 8 months ago
- python tools for Finance with the functionality of indicator calculation, business day calculation and so on.☆778Updated last year
- Portfolio optimization with deep learning.☆986Updated last year
- Learn Algorithmic Trading, Published by Packt☆862Updated 2 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆565Updated last month
- Framework for algorithmic trading☆817Updated last year
- Python Algorithmic Trading Cookbook, published by Packt☆444Updated 2 years ago
- Backtest and live trading in Python☆574Updated 9 months ago
- Teaches step-by-step to analysis stock data in python.☆375Updated last year
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆402Updated 5 years ago
- An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian,…☆728Updated 4 years ago
- Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]☆1,758Updated 2 years ago
- Open sourced research notebooks by the QuantConnect team.☆577Updated 10 months ago
- Simple to use interfaces for basic technical analysis of stocks.☆347Updated last year
- Advances in Financial Machine Learning☆771Updated 2 years ago
- Quantitative Finance book☆585Updated 11 months ago
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆637Updated 4 months ago
- Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.☆1,651Updated last year
- Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.☆557Updated last week