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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Leila Kosseim

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Jul 2026

CLaC@FinMMEval 2026 Task 3: Sentiment-Augmented Deep Reinforcement Learning for Active Trading - An Alpha-Reward Approach

This paper presents the system for Task 3 of the CLEF 2026 FinMMEval Lab, which requires daily long, flat, or short trading decisions for Bitcoin and Tesla using news and historical market data, and achieves the strongest overall performance.

Andrei Neagu, Eeham Khan, Leila Kosseim · 0 citations

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