deep-learning-trader
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DA-RNN
DA-RNN PublicForked from Zhenye-Na/DA-RNN
📃 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Jupyter Notebook
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da-rnn-1
da-rnn-1 PublicForked from Seanny123/da-rnn
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
Python
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RNN-Models-for-Time-Series-Prediction
RNN-Models-for-Time-Series-Prediction PublicForked from agamat/RNN-Models-for-Time-Series-Prediction
Implementation of different RNN architectures for Time Series Prediction for Currency Markets
Jupyter Notebook
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Text-Generation
Text-Generation PublicForked from ApurbaSengupta/Text-Generation
Generating text sequences using attention-based Bi-LSTM
Python
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soft_attention_LSTM_time_series_forecasting
soft_attention_LSTM_time_series_forecasting PublicForked from huddyyeo/soft_attention_LSTM_time_series_forecasting
soft attention mechanism with lstm neural networks
Jupyter Notebook
Repositories
- Deep-Reinforcement-Learning-with-Stock-Trading Public Forked from theanh97/Deep-Reinforcement-Learning-with-Stock-Trading
This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2C, DDPG, SAC, and TD3 in a realistic trading environment with transaction costs, it aims to optimize trading decisions based on return, volatility, and Sharpe ratio.
deep-learning-trader/Deep-Reinforcement-Learning-with-Stock-Trading’s past year of commit activity - releat Public Forked from dizengoff/releat
REinforcement LEarning for Algorithmic Trading is a python framework for medium frequency trading algorithms for MetaTrader 5
deep-learning-trader/releat’s past year of commit activity - DRL_for_Active_High_Frequency_Trading Public Forked from FinancialComputingUCL/DRL_for_Active_High_Frequency_Trading
We introduce the first end-to-end Deep Reinforcement Learning based framework for active high frequency trading.
deep-learning-trader/DRL_for_Active_High_Frequency_Trading’s past year of commit activity - TradeMaster Public Forked from TradeMaster-NTU/TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
deep-learning-trader/TradeMaster’s past year of commit activity - Imbrium Public Forked from maxmekiska/imbrium
Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.
deep-learning-trader/Imbrium’s past year of commit activity - stoch_filter_nvar Public Forked from rahulor/stoch_filter_nvar
Implementation of nonlinear Vector Auto Regression (nVAR) for the stochastic filtering task
deep-learning-trader/stoch_filter_nvar’s past year of commit activity - MEDIUM_NoteBook Public Forked from cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
deep-learning-trader/MEDIUM_NoteBook’s past year of commit activity - Time-series-deep-learning Public Forked from A-safarji/Time-series-deep-learning
Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.
deep-learning-trader/Time-series-deep-learning’s past year of commit activity - lstm-forecasting Public Forked from bpkent/lstm-forecasting
How to use PyTorch LSTMs for time series regression
deep-learning-trader/lstm-forecasting’s past year of commit activity
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