Pinned Repositories
080289
Berti_BiNTABL
Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series
Berti_TABL
Pytorch implementation of TABL from Temporal Attention Augmented Bilinear Network for Financial Time Series Data Analysis
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.
DRL_for_Active_High_Frequency_Trading
We introduce the first end-to-end Deep Reinforcement Learning based framework for active high frequency trading.
eBookToPdf
E-Book PDF 추출 프로그램
lob-deep-learning
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
LOBCAST
LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈
reinforcement-learning-kr-v2
[파이썬과 케라스로 배우는 강화학습] 텐서플로우 2.0 개정판 예제
sofienkaabar_dlf
The Official Repository of Deep Learning for Finance
yhbae2997's Repositories
yhbae2997/080289
yhbae2997/Berti_BiNTABL
Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series
yhbae2997/Berti_TABL
Pytorch implementation of TABL from Temporal Attention Augmented Bilinear Network for Financial Time Series Data Analysis
yhbae2997/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.
yhbae2997/DRL_for_Active_High_Frequency_Trading
We introduce the first end-to-end Deep Reinforcement Learning based framework for active high frequency trading.
yhbae2997/eBookToPdf
E-Book PDF 추출 프로그램
yhbae2997/lob-deep-learning
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
yhbae2997/LOBCAST
LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈
yhbae2997/reinforcement-learning-kr-v2
[파이썬과 케라스로 배우는 강화학습] 텐서플로우 2.0 개정판 예제
yhbae2997/sofienkaabar_dlf
The Official Repository of Deep Learning for Finance
yhbae2997/TABL
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
yhbae2997/translob
Transformers for limit order books