Coinvisor: An RL-Enhanced Chatbot Agent for Interactive Cryptocurrency Investment Analysis
Chong Chen, Ze Liu, Lingfeng Bao, Yanlin Wang, Ting Chen, Daoyuan Wu, Jiachi Chen

TL;DR
Coinvisor is a reinforcement learning-enhanced chatbot that offers real-time, multi-step analytical support for cryptocurrency investors by integrating diverse data sources and tools, significantly improving tool selection accuracy and user satisfaction.
Contribution
The paper introduces a novel RL-based multi-agent framework for cryptocurrency analysis, enabling dynamic data integration and multi-step reasoning in chatbots, which surpasses existing static models.
Findings
40.7% increase in recall for tool calling accuracy
26.6% improvement in F1 score over base models
High user satisfaction with 4.64/5 rating
Abstract
The cryptocurrency market offers significant investment opportunities but faces challenges including high volatility and fragmented information. Data integration and analysis are essential for informed investment decisions. Currently, investors use three main approaches: (1) Manual analysis across various sources, which depends heavily on individual experience and is time-consuming and prone to bias; (2) Data aggregation platforms-limited in functionality and depth of analysis; (3) Large language model agents-based on static pretrained models, lacking real-time data integration and multi-step reasoning capabilities. To address these limitations, we present Coinvisor, a reinforcement learning-based chatbot that provides comprehensive analytical support for cryptocurrency investment through a multi-agent framework. Coinvisor integrates diverse analytical capabilities through specialized…
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Taxonomy
TopicsBlockchain Technology Applications and Security · AI in Service Interactions · Stock Market Forecasting Methods
