CanePunma / Stock_Price_Prediction_With_RNNsLinks
Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.
☆55Updated 8 years ago
Alternatives and similar repositories for Stock_Price_Prediction_With_RNNs
Users that are interested in Stock_Price_Prediction_With_RNNs are comparing it to the libraries listed below
Sorting:
- Algorithmic Trading using RNN☆34Updated 8 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 8 years ago
- Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends o…☆81Updated 8 years ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Predict stock movement with Machine Learning and Deep Learning algorithms☆51Updated 2 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- Machine learning in Python for stock market and forex market predictions (fully functional)☆56Updated 7 years ago
- Calculates pivot points for a given ticker symbol, indicating areas of support and resistance☆32Updated 7 years ago
- LSTM RNN for sentiment-based stock prediction☆65Updated 7 years ago
- Deep q learning on determining buy/sell signal and placing orders☆49Updated 6 years ago
- 💸 A long-short equity quantitative trading strategy (sentiment-based)☆38Updated 7 years ago
- ☆126Updated 6 years ago
- Stock Prediction using machine learning☆59Updated 7 years ago
- Some trading strategies implemented using Backtrader☆29Updated 6 years ago
- ☆73Updated 3 years ago
- A python backend to predict prices of candlesticks.☆23Updated 6 years ago
- Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.☆101Updated 5 years ago
- This project implements machine learning algorithm to predict stock index futures price by matching recent futures price and volume with …☆15Updated 8 years ago
- Quantopian Pairs Trading algorithm implementation.☆59Updated 7 years ago
- Stock price trend prediction with news sentiment analysis using deep learning☆71Updated 8 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated 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
- ☆34Updated 6 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆44Updated 2 years ago
- ☆115Updated 8 years ago
- Trading environnement for RL agents, backtesting and training.☆165Updated 2 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Python library for high frequency portfolio analysis, intraday backtesting and optimization☆66Updated 7 years ago
- Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…☆146Updated 7 years ago