Alert button
Picture for Christina Dan Wang

Christina Dan Wang

Alert button

FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets

Oct 07, 2023
Neng Wang, Hongyang Yang, Christina Dan Wang

Figure 1 for FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets
Figure 2 for FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets
Figure 3 for FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets
Figure 4 for FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets
Viaarxiv icon

FinGPT: Open-Source Financial Large Language Models

Jun 09, 2023
Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang

Figure 1 for FinGPT: Open-Source Financial Large Language Models
Viaarxiv icon

Dynamic Datasets and Market Environments for Financial Reinforcement Learning

Apr 25, 2023
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo

Figure 1 for Dynamic Datasets and Market Environments for Financial Reinforcement Learning
Figure 2 for Dynamic Datasets and Market Environments for Financial Reinforcement Learning
Figure 3 for Dynamic Datasets and Market Environments for Financial Reinforcement Learning
Figure 4 for Dynamic Datasets and Market Environments for Financial Reinforcement Learning
Viaarxiv icon

Nearest-Neighbor Sampling Based Conditional Independence Testing

Apr 09, 2023
Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen

Figure 1 for Nearest-Neighbor Sampling Based Conditional Independence Testing
Figure 2 for Nearest-Neighbor Sampling Based Conditional Independence Testing
Figure 3 for Nearest-Neighbor Sampling Based Conditional Independence Testing
Figure 4 for Nearest-Neighbor Sampling Based Conditional Independence Testing
Viaarxiv icon

Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting

Sep 14, 2022
Berend Jelmer Dirk Gort, Xiao-Yang Liu, Xinghang Sun, Jiechao Gao, Shuaiyu Chen, Christina Dan Wang

Figure 1 for Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting
Figure 2 for Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting
Figure 3 for Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting
Figure 4 for Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting
Viaarxiv icon

FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance

Dec 13, 2021
Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo

Figure 1 for FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
Figure 2 for FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
Figure 3 for FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
Figure 4 for FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
Viaarxiv icon

FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance

Nov 07, 2021
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang

Figure 1 for FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance
Figure 2 for FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance
Figure 3 for FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance
Figure 4 for FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance
Viaarxiv icon

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

Nov 19, 2020
Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang

Figure 1 for FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Figure 2 for FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Figure 3 for FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Figure 4 for FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Viaarxiv icon

Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction

Aug 03, 2019
Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang

Figure 1 for Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Figure 2 for Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Figure 3 for Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Figure 4 for Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Viaarxiv icon