JordiCorbilla / stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
☆540Updated last year
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
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,272Updated 10 months ago
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆340Updated 9 months ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆853Updated 8 months ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆260Updated last year
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆581Updated last year
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆905Updated last year
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆436Updated 3 years ago
- Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomF…☆266Updated 3 months ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆397Updated 5 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆600Updated last year
- Backtest and live trading in Python☆554Updated 6 months ago
- Introducing neural networks to predict stock prices☆744Updated 5 years ago
- Framework for algorithmic trading☆797Updated last year
- Simple to use interfaces for basic technical analysis of stocks.☆341Updated last year
- Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step tim…☆289Updated last year
- Stock Price Prediction using Machine Learning Techniques☆1,365Updated last year
- Technical Indicators used in Stock Market Analysis☆459Updated 3 years ago
- Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Fin…☆289Updated 2 years ago
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆617Updated 2 months ago
- Using python and scikit-learn to make stock predictions☆1,796Updated 7 months ago
- A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.☆1,042Updated 9 months ago
- All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.☆646Updated 4 months ago
- Quantitative Finance book☆537Updated 8 months ago
- Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitativ…☆498Updated last year
- Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.☆521Updated this week
- PyTrendFollow - systematic futures trading using trend following☆383Updated 6 years ago
- Python Algorithmic Trading Cookbook, published by Packt☆421Updated 2 years ago
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆1,724Updated 2 weeks ago
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆267Updated 3 years ago
- 📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://…☆345Updated 4 years ago