omerbsezer / SparkDeepMlpGADow30Links
A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)
☆67Updated 7 years ago
Alternatives and similar repositories for SparkDeepMlpGADow30
Users that are interested in SparkDeepMlpGADow30 are comparing it to the libraries listed below
Sorting:
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆92Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 7 years ago
- A deep learning model for Financial Signal Representation and Trading☆75Updated 6 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆100Updated 4 years ago
- the book with script☆79Updated 8 years ago
- High Frequency Trading☆110Updated 7 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆106Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Deep Direct Reinforcement Learning for Financial Signal Representation and Trading(http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa…☆29Updated 6 years ago
- ☆132Updated 6 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 2 years ago
- Deep Trading using Convolutional Neural Network☆28Updated 7 years ago
- A crypto currency live-trading backend for Huobi☆35Updated 7 years ago
- Trend Prediction for High Frequency Trading☆43Updated 2 years ago
- ☆34Updated 5 years ago
- Plain Stock Close-Price Prediction via Graves LSTM RNNs☆202Updated 4 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆84Updated 7 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆40Updated 8 years ago
- 💸 Papers and Code Implements for Quantitative-Trading☆37Updated 7 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Embedding stocks to vectors based on the price history☆64Updated 8 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 6 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- ☆116Updated 8 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
- predict the price trend of individual stocks using deep learning and natural language processing☆76Updated 7 years ago
- Particle swarm optimization (PSO) in algorithmic trading example using Backtrader backtesting framework.☆19Updated 5 years ago