z33pX / Stock-Price-Prediction-With-IndicatorsLinks
The prediction is based on a recurrent neural network. The list of features includes MACD, Stochastic Oscillator, ATR, RSI etc.
☆41Updated 6 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
Sorting:
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 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 8 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆14Updated 3 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- ☆34Updated 6 years ago
- Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable☆58Updated 6 years ago
- Stock and Forex market prediction using ML and time-series modelling☆38Updated 6 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 8 years ago
- Quantopian Pairs Trading algorithm implementation.☆62Updated 7 years ago
- Calculates pivot points for a given ticker symbol, indicating areas of support and resistance☆32Updated 7 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Fetching Financial Data （US/China）☆61Updated last year
- Basic python libraries for building technical indicators and trading signals☆17Updated 8 years ago
- A crypto currency live-trading backend for Huobi☆37Updated 6 years ago
- Unsupervised Learning to Market Behavior Forecasting Example☆42Updated 5 years ago
- Markowitz portfolio optimization on synthetic and real stocks☆76Updated 7 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
- Some trading strategies implemented using Backtrader☆29Updated 6 years ago
- A simply framework of researching stock data through LSTM by Tensorflow☆17Updated 6 years ago
- Python Library For Algorithmic Trading Indicators☆14Updated 6 years ago
- This project deals with the use of machine learning to predict changes in stock values as well as we incorporating study on effect of dif…☆13Updated 7 years ago
- Historical market data downloader using Interactive Brokers TWS☆59Updated 6 years ago
- An event-based backtester written in Python for algorithmic trading.☆43Updated 7 years ago
- Python code for creating candlestick charts with slider using Bokeh☆41Updated 6 years ago
- Example of adaptive trend following strategy based on Renko☆120Updated 6 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆25Updated last year
- Predict the change in closing price from one trading day to the next into one of four bands for any stock using technical indicators and …☆25Updated 2 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 5 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago