JordiCorbilla / stock-prediction-deep-neural-learningLinks
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
☆622Updated 4 months ago
Alternatives and similar repositories for stock-prediction-deep-neural-learning
Users that are interested in stock-prediction-deep-neural-learning are comparing it to the libraries listed below
Sorting:
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆493Updated 4 years ago
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,618Updated last year
- Simple to use interfaces for basic technical analysis of stocks.☆363Updated last year
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆273Updated 2 years ago
- 📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://…☆383Updated 4 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆918Updated last year
- Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Fin…☆335Updated 2 years ago
- Programs for stock prediction and evaluation☆364Updated 3 weeks ago
- Teaches step-by-step to analysis stock data in python.☆420Updated last year
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆984Updated 2 years ago
- Backtest and live trading in Python☆618Updated last year
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆485Updated last year
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆614Updated 2 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆607Updated 2 years ago
- Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price acti…☆372Updated 6 months ago
- Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news a…☆204Updated last week
- A stock trading bot that uses machine learning to make price predictions.☆649Updated 3 years ago
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆672Updated 9 months ago
- MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning bas…☆524Updated last year
- Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.☆627Updated this week
- Stock Market Prediction Using Unsupervised Features☆362Updated 2 years ago
- A Python CLI tool to scan, detect, and plot stock chart patterns☆296Updated last month
- Udacity nanodegree: AI for Trading☆246Updated 2 years ago
- A Python library for evaluating option trading strategies.☆414Updated 4 months ago
- Python package for trend detection on stock time series data☆476Updated last year
- 📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortles…☆373Updated last year
- ☆483Updated 2 years ago
- Python Algorithmic Trading Cookbook, published by Packt☆495Updated 2 years ago
- ☆502Updated 2 years ago
- low code backtesting library utilizing pandas and technical analysis indicators☆485Updated last week