✨MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
📝 Summary:
MarS is a financial market simulation engine using LMM, an order-level generative model. It creates realistic, interactive market scenarios for risk-free strategy training and analysis. This offers scalability and strong realism.
🔹 Publication Date: Published on Sep 4, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2409.07486
• PDF: https://arxiv.org/pdf/2409.07486
• Github: https://github.com/microsoft/mars
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#FinancialMarkets #GenerativeAI #Simulation #LLM #FinTech
📝 Summary:
MarS is a financial market simulation engine using LMM, an order-level generative model. It creates realistic, interactive market scenarios for risk-free strategy training and analysis. This offers scalability and strong realism.
🔹 Publication Date: Published on Sep 4, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2409.07486
• PDF: https://arxiv.org/pdf/2409.07486
• Github: https://github.com/microsoft/mars
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#FinancialMarkets #GenerativeAI #Simulation #LLM #FinTech
✨FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications
📝 Summary:
FinTRec is a transformer-based framework for financial recommendation systems. It handles complex user interactions and multiple products, outperforming traditional tree models. This unified approach improves performance and reduces costs.
🔹 Publication Date: Published on Nov 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.14865
• PDF: https://arxiv.org/pdf/2511.14865
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#FinTech #RecommendationSystems #Transformers #AI #MachineLearning
📝 Summary:
FinTRec is a transformer-based framework for financial recommendation systems. It handles complex user interactions and multiple products, outperforming traditional tree models. This unified approach improves performance and reduces costs.
🔹 Publication Date: Published on Nov 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.14865
• PDF: https://arxiv.org/pdf/2511.14865
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#FinTech #RecommendationSystems #Transformers #AI #MachineLearning