Alternatives and similar repositories for StockMarketGAN

Users that are interested in StockMarketGAN are comparing it to the libraries listed below

• omerbsezer / TimeSeries2DBarChartImageCNN
  Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
  ☆42Updated 2 years ago
• mlpanda / DeepLearning_Financial
  Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
  ☆93Updated 3 years ago
• lamres / hmm_market_behavior
  Unsupervised Learning to Market Behavior Forecasting Example
  ☆41Updated 5 years ago
• timothyyu / wsae-lstm
  implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
  ☆78Updated 2 years ago
• nithinsethu / Deep-Direct-Reinforcement-Learning-for-Financial-Signal-Representation-and-Trading
  A deep learning model for Financial Signal Representation and Trading
  ☆76Updated 7 years ago
• laikasinjason / deep-q-learning-trading-system-on-hk-stocks-market
  Deep q learning on determining buy/sell signal and placing orders
  ☆50Updated 6 years ago
• kah-ve / MarketGAN
  Implementing a Generative Adversarial Network on the Stock Market
  ☆121Updated 3 years ago
• Kroat / Reinforcement-Learning-Stock-Trader
  Reinforcement Learning Script that trades Equities from Yahoo Finance
  ☆78Updated 6 years ago
• yuriak / RLCrypto
  A crypto currency live-trading backend for Huobi
  ☆35Updated 7 years ago
• druce / rl
  Deep Reinforcement Learning For Trading
  ☆107Updated last year
• Jingyi-Luo / Stock_Price_Movement_Prediction_RNN_CNN_FFNN
  The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…
  ☆61Updated 4 years ago
• YinchuanLl / Reinforcement-learning-for-portfolio-allocation
  Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation
  ☆36Updated 6 years ago
• apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPG
  Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…
  ☆58Updated 6 years ago
• youki-cao / Recurrent-Reinforcement-Learning-in-Bitcoin-Trading
  Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning
  ☆28Updated 7 years ago
• FinTechies / HedgingRL
  Hedging portfolios with reinforcement learning.
  ☆36Updated 8 years ago
• umeshpalai / AlgorithmicTrading-MachineLearning
  Deep Learning - Neural network (RNN, LSTM & GRU)
  ☆65Updated 7 years ago
• darden1 / tradingrrl
  Implementations of FX trading with RRL
  ☆64Updated 7 years ago
• convergenceIM / alpha-scientist
  ☆73Updated 3 years ago
• raehyuns / DDRL_trading
  Deep Direct Recurrent Reinforcement Learning to learn trading system
  ☆26Updated 7 years ago
• AustenZhu / Deep-Reinforcement-Learning-in-Zipline
  Creating DRL infrastructure for Dynamic Beta with Zipline and Keras
  ☆14Updated 2 years ago
• jiewwantan / StarTrader
  This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…
  ☆108Updated 6 years ago
• my2582 / Adversarial-RL
  A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …
  ☆15Updated 6 years ago
• zhoutf / finance_gan
  Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
  ☆17Updated 7 years ago
• rajatgarg149 / Stock-Trading-using-RRL
  ☆18Updated 6 years ago
• suraj-maniyar / Stock-Trading-Using-Machine-Learning
  A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.
  ☆22Updated 7 years ago
• zameyer1 / Evolutionary-Trading-Strategies
  This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strat…
  ☆25Updated 6 years ago
• saiteja-2811 / Image-Classification-for-Trading-Strategies
  Image Classification for Trading Strategies - Project for Machine Learning Class
  ☆38Updated 4 years ago
• halessi / rl_trading
  ☆17Updated 3 years ago
• wangy8989 / Pairs-Trading-with-Machine-Learning
  Pairs Trading with Machine Learning on Distributed Python Platform
  ☆122Updated 3 years ago
• Yifeng-He / Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks
  This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.
  ☆101Updated 5 years ago