FiscalNote StressLens

StressLens analyzes subtle visual and vocal elements in public presentations (earnings calls, ec) that may signify nervousness, incomplete information, or even hidden intentions. StressLens then provides insights into when a company - though its leaders’ statements - may be experiencing market-critical challenges, unknown crises or challenges, or upswings. Sample Tables: Full event text with section by section speaker identification and stress signatures. Sample Fields: Speaker, ticker, text, stress score Workflows: 1.Quant trading--join to your data as a new hedging or alpha seeking signal. 2.Research--only focus on the critical parts of an earnings call--those with the highest stress signature 3.RAG/LLM Data--ignore irrelevant information and only focus the system and session on what is important. 4.Counterparty surveillance--know what latent risks are embedded in companies you do business with, as a bank, insurance company or other firm.

搜集汇总

背景与挑战

背景概述

该数据集通过分析企业公开演讲中的视觉与声音特征，量化发言人压力信号，提供包含发言人、文本及压力评分的结构化数据，适用于量化交易、风险监测等金融场景。