kykosic / WaveNet-BTC

Related projects: ⓘ

• balintgersey / Generative-Adversarial-Networks-for-financial-time-series-generation
  ☆32Updated this week
• Zymrael / wattnet-fx-trading
  WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
  ☆70Updated 4 years ago
• ritchieng / fractional_differencing_gpu
  Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-40…
  ☆54Updated 4 years ago
• nmharmon8 / StockMarketGAN
  Stock Market Prediction Using Unsupervised Features
  ☆52Updated 6 years ago
• philipperemy / fractional-differentiation-time-series
  As described in Advances of Machine Learning by Marcos Prado.
  ☆118Updated last year
• Prediction-Machines / Trading-Brain
  ☆73Updated this week
• pnecchi / Thesis
  Reinforcement Learning for Automated Trading
  ☆85Updated 7 years ago
• kivo360 / concurrent-rl-training
  A concurrent and possibly highly parallel training environment for Reinforcement Learning Trading Bot
  ☆25Updated last year
• timothyyu / wsae-lstm
  implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
  ☆77Updated last year
• chandlerzuo / chandlerzuo.github.io
  My blog.
  ☆77Updated last month
• gaurav1086 / dl-algo-trader
  Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…
  ☆86Updated 4 years ago
• savourylie / Stock-Price-Forecaster
  In this project we try to forecast S&P 500 stocks with machine learning and time series methods
  ☆28Updated 7 years ago
• kh-kim / stock2vec
  Embedding stocks to vectors based on the price history
  ☆62Updated 7 years ago
• caokyhieu / DELAFO-DeEp-Learning-Approach-for-portFolio-Optimization
  ☆23Updated 3 years ago
• jwallbridge / translob
  Transformers for limit order books
  ☆97Updated 4 years ago
• SimonOuellette35 / RLNonStationary
  Demo for the application of RL to non-stationary effects
  ☆44Updated 4 years ago
• ml-hongkong / stock2vec
  Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
  ☆38Updated 7 years ago
• mlpanda / DeepLearning_Financial
  Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
  ☆89Updated 2 years ago
• FernandoDeMeer / Mitigating-Overfitting-Experiment
  Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"
  ☆37Updated last year
• Rachnog / Reinforcement-Learning-in-Finance
  Materials for blogs and conferences
  ☆67Updated 3 years ago
• sinusgamma / probabilistic_wavenet_fx
  Probabilistic and Directional Relu Wavenet with forex and economic news data
  ☆24Updated 4 years ago
• AmpX-AI / tft-speedup
  Speeding up Google's Temporal Fusion Transformer
  ☆44Updated 3 years ago
• euclidjda / deep-quant
  Deep learning for forecasting company fundamental data
  ☆137Updated 5 years ago
• suraj-maniyar / Stock-Trading-Using-Machine-Learning
  A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.
  ☆21Updated 6 years ago
• chriswang1999 / RLForex
  ☆19Updated 5 years ago
• mpstewart1 / EchoStateNetworks
  Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
  ☆47Updated 3 years ago
• lamres / hmm_market_behavior
  Unsupervised Learning to Market Behavior Forecasting Example
  ☆39Updated 4 years ago
• markbabbe / BERT-Stock-Prediction-Using-NLP
  In this project, my team and I use Google's new BERT model to predict the S&P 500 using SEC 8-K filings
  ☆48Updated 5 years ago
• samre12 / gym-cryptotrading
  OpenAI Gym Environment API based Bitcoin trading environment
  ☆131Updated 2 years ago
• xingyu-fu / Robust-Log-Optimal-Strategy-with-Reinforcement-Learning
  ☆52Updated this week