✨LiveTradeBench: Seeking Real-World Alpha with Large Language Models
📝 Summary:
LiveTradeBench evaluates LLMs in live trading environments with real-time data, multi-asset portfolios, and multiple markets. It reveals that strong static benchmark scores dont predict trading success, and some LLMs can adapt to live market signals. This highlights a gap in current LLM evaluations.
🔹 Publication Date: Published on Nov 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.03628
• PDF: https://arxiv.org/pdf/2511.03628
• Project Page: https://trade-bench.live/
• Github: https://github.com/ulab-uiuc/live-trade-bench
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AlgorithmicTrading #FinancialAI #QuantitativeFinance #AIResearch
📝 Summary:
LiveTradeBench evaluates LLMs in live trading environments with real-time data, multi-asset portfolios, and multiple markets. It reveals that strong static benchmark scores dont predict trading success, and some LLMs can adapt to live market signals. This highlights a gap in current LLM evaluations.
🔹 Publication Date: Published on Nov 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.03628
• PDF: https://arxiv.org/pdf/2511.03628
• Project Page: https://trade-bench.live/
• Github: https://github.com/ulab-uiuc/live-trade-bench
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AlgorithmicTrading #FinancialAI #QuantitativeFinance #AIResearch
❤1
✨Kronos: A Foundation Model for the Language of Financial Markets
📝 Summary:
Kronos is a novel foundation model for financial K-line data. It uses a specialized tokenizer and autoregressive pre-training on a vast dataset to significantly outperform existing models in price and volatility forecasting, and synthetic data generation, establishing it as a versatile tool for f...
🔹 Publication Date: Published on Aug 2, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.02739
• PDF: https://arxiv.org/pdf/2508.02739
• Github: https://github.com/shiyu-coder/Kronos
🔹 Models citing this paper:
• https://huggingface.co/NeoQuasar/Kronos-base
• https://huggingface.co/NeoQuasar/Kronos-Tokenizer-base
• https://huggingface.co/NeoQuasar/Kronos-mini
✨ Spaces citing this paper:
• https://huggingface.co/spaces/ByronWang2005/Kronos-CS2-Skins-Forecast-Demo
• https://huggingface.co/spaces/yangyang158/kronos
• https://huggingface.co/spaces/heyunfei/crypt
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#FoundationModel #FinancialAI #DeepLearning #QuantitativeFinance #Forecasting
📝 Summary:
Kronos is a novel foundation model for financial K-line data. It uses a specialized tokenizer and autoregressive pre-training on a vast dataset to significantly outperform existing models in price and volatility forecasting, and synthetic data generation, establishing it as a versatile tool for f...
🔹 Publication Date: Published on Aug 2, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.02739
• PDF: https://arxiv.org/pdf/2508.02739
• Github: https://github.com/shiyu-coder/Kronos
🔹 Models citing this paper:
• https://huggingface.co/NeoQuasar/Kronos-base
• https://huggingface.co/NeoQuasar/Kronos-Tokenizer-base
• https://huggingface.co/NeoQuasar/Kronos-mini
✨ Spaces citing this paper:
• https://huggingface.co/spaces/ByronWang2005/Kronos-CS2-Skins-Forecast-Demo
• https://huggingface.co/spaces/yangyang158/kronos
• https://huggingface.co/spaces/heyunfei/crypt
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#FoundationModel #FinancialAI #DeepLearning #QuantitativeFinance #Forecasting
arXiv.org
Kronos: A Foundation Model for the Language of Financial Markets
The success of large-scale pre-training paradigm, exemplified by Large Language Models (LLMs), has inspired the development of Time Series Foundation Models (TSFMs). However, their application to...
✨Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection
📝 Summary:
A new benchmark, mfmdscen, evaluates behavioral biases in large language models for multilingual financial misinformation detection. It uses complex economic scenarios and a multilingual dataset, revealing significant biases across 22 mainstream LLMs.
🔹 Publication Date: Published on Jan 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.05403
• PDF: https://arxiv.org/pdf/2601.05403
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AIbias #FinancialAI #MisinformationDetection #MultilingualAI
📝 Summary:
A new benchmark, mfmdscen, evaluates behavioral biases in large language models for multilingual financial misinformation detection. It uses complex economic scenarios and a multilingual dataset, revealing significant biases across 22 mainstream LLMs.
🔹 Publication Date: Published on Jan 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.05403
• PDF: https://arxiv.org/pdf/2601.05403
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AIbias #FinancialAI #MisinformationDetection #MultilingualAI