z33pX / Stock-Price-Prediction-With-Indicators
The prediction is based on a recurrent neural network. The list of features includes MACD, Stochastic Oscillator, ATR, RSI etc.
☆40Updated 5 years ago
Alternatives and similar repositories for Stock-Price-Prediction-With-Indicators:
Users that are interested in Stock-Price-Prediction-With-Indicators are comparing it to the libraries listed below
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆13Updated 3 years ago
- Short Term Trading Strategy developed using technical Indicators like RSI-MACD-ADX-Bollinger Bands and study the effect of Broad Market D…☆17Updated 7 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 7 years ago
- Using Machine Learning for live currency trading☆37Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆21Updated 6 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆107Updated 5 years ago
- An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms☆40Updated 6 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆92Updated 2 years ago
- ☆34Updated 6 years ago
- Stock and Forex market prediction using ML and time-series modelling☆36Updated 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 …☆57Updated 4 years ago
- Deep Q-Learning for Market Making☆118Updated 6 years ago
- Python code for creating candlestick charts with slider using Bokeh☆39Updated 5 years ago
- C++ library for detecting chart patterns in stock charts.☆30Updated 5 years ago
- Predict stock movement with Machine Learning and Deep Learning algorithms☆49Updated 2 years ago
- An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".☆99Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Python library to implement advanced trading strategies using machine learning and perform backtesting.☆38Updated 5 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- Unsupervised Learning to Market Behavior Forecasting Example☆40Updated 4 years ago
- Extension for creating Performance Reports with Backtrader☆71Updated 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 7 years ago
- Python Implementations of popular Algorithmic Trading Strategies☆113Updated this week
- Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…☆87Updated 5 years ago
- An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for …☆32Updated 4 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆27Updated 6 years ago
- A crypto currency live-trading backend for Huobi☆37Updated 6 years ago
- backtrader with DRL ( Deep Reinforcement Learning)☆64Updated last year
- Technical Analysis Library Time-Series☆154Updated 4 months ago
- Pair Trading Strategy using Machine Learning written in Python☆114Updated 2 years ago