Alternatives and similar repositories for Stock-X:

Users that are interested in Stock-X are comparing it to the libraries listed below

• matheusbfernandes / stock-market-prediction
  Stock Price Prediction using CNN-LSTM
  ☆85Updated 5 years ago
• EduardoRamosP / MultiTransformer
  Transformer and MultiTransformer layers for stock volatility forecasting purposes
  ☆65Updated 3 years ago
• Stepka / Stock-Prediction-usning-Transformer-NN
  Stock Prediction usning Transformer NN
  ☆81Updated 5 years ago
• TheQuantScientist / LiteFormer
  [PENDING] The official repo for the paper: "A Lightweight Multi-Head Attention Transformer for Stock Price Forecasting".
  ☆19Updated 5 months ago
• ChickenBenny / Stock-prediction-with-GAN-and-WGAN
  stock prediction with GAN and WGAN
  ☆93Updated 2 years ago
• BLarzalere / Temporal-Fusion-Transformer
  Probabilistic Forecast of a Multivariate Time Series using the Temporal Fusion Transformer & PyTorch Lightning
  ☆17Updated 2 years ago
• py00128 / Cryptocurrency-Price-Prediction
  Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU
  ☆30Updated 2 years ago
• makaveli10 / StockPrediction_Transformer
  Intra day Stock Prediction 10 minutes into the future
  ☆103Updated 5 years ago
• tranducquy / tcn-fx-price-prediction
  Forex Time-Series Prediction Using TCN
  ☆44Updated 5 years ago
• Hupperich-Manuel / LSTM-XGBoost-Hybrid-Forecasting
  LSTM-XGBoost Time Series Forecasting
  ☆121Updated last year
• Bturan19 / Neural-Garch-Hybrid-Model-Implementation
  By combining GARCH(1,1) and LSTM model implementing predictions.
  ☆56Updated 6 years ago
• t-corato / GA-TCN
  Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection
  ☆32Updated 4 years ago
• sm823zw / Stock-Market-Index-Prediction
  This repo deals with time series prediction using LSTMs. An encoder-decoder architecture was used for this purpose. A dual-stage attentio…
  ☆24Updated 3 years ago
• quovadisss / TimeSeriesForecasting_AI_team1
  Seoultech AI Class Team Project
  ☆11Updated 3 years ago
• z1103246 / LSTM-CNN-Stock-Prediction
  An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320
  ☆20Updated 3 years ago
• Cy743652 / CEEMDAN-LSTM
  ☆40Updated 3 years ago
• hungchun-lin / Stock-price-prediction-using-GAN
  In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …
  ☆240Updated 3 years ago
• h3ik0th / TFT_darts
  probabilistic forecasting with Temporal Fusion Transformer
  ☆40Updated 3 years ago
• ArcherCYM / CEEMDAN-LSTM
  Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
  ☆59Updated 10 months ago
• hthoai / stock-price-prediction
  In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…
  ☆53Updated 4 years ago
• Soham-Deshpande / Stock-TFT
  Stock price prediction using a Temporal Fusion Transformer
  ☆93Updated last year
• SPratapSingh / GoldPrice-forecasting-CNN-LSTM-basedon-IndiaMacroEconomicData
  Gold Price Prediction using CNN-LSTM and CNN-GRU model: We have built univariate and multivariate CNN-LSTM, CNN-GRU and many variants of …
  ☆13Updated 3 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆34Updated 5 years ago
• Schlam / LSTM-time-series-forecasting
  Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data
  ☆41Updated 4 years ago
• stakahashy / fingan
  The implementation of "modeling financial time-series with generative adversarial networks"
  ☆62Updated last year
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago
• sunjoshi1991 / Time-Series-Forecasting-using-LSTM
  Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and …
  ☆58Updated 8 months ago
• SnehJain / Deep-Neural-Networks-For-Stock-Price-Prediction
  Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction
  ☆61Updated 6 years ago
• umeshpalai / AlgorithmicTrading-MachineLearning
  Deep Learning - Neural network (RNN, LSTM & GRU)
  ☆64Updated 6 years ago