WebCryptoAgent: Agentic Crypto Trading with Web Informatics

TL;DR

WebCryptoAgent is a novel trading framework that integrates web data and market signals through specialized agents, enabling robust, real-time decision making and risk management in volatile cryptocurrency markets.

Contribution

It introduces a modular agentic architecture with a decoupled control system for improved stability and rapid response to market shocks, advancing crypto trading technology.

Findings

Enhanced trading stability and reduced spurious activity.

Improved tail-risk management in volatile markets.

Effective real-time shock detection and response.

Abstract

Cryptocurrency trading increasingly depends on timely integration of heterogeneous web information and market microstructure signals to support short-horizon decision making under extreme volatility. However, existing trading systems struggle to jointly reason over noisy multi-source web evidence while maintaining robustness to rapid price shocks at sub-second timescales. The first challenge lies in synthesizing unstructured web content, social sentiment, and structured OHLCV signals into coherent and interpretable trading decisions without amplifying spurious correlations, while the second challenge concerns risk control, as slow deliberative reasoning pipelines are ill-suited for handling abrupt market shocks that require immediate defensive responses. To address these challenges, we propose WebCryptoAgent, an agentic trading framework that decomposes web-informed decision making into modality-specific agents and consolidates their outputs into a unified evidence document for confidence-calibrated reasoning. We further introduce a decoupled control architecture that separates strategic hourly reasoning from a real-time second-level risk model, enabling fast shock detection and protective intervention independent of the trading loop. Extensive experiments on real-world cryptocurrency markets demonstrate that WebCryptoAgent improves trading stability, reduces spurious activity, and enhances tail-risk handling compared to existing baselines. Code will be available at https://github.com/AIGeeksGroup/WebCryptoAgent.