Deep roots in investor psychology
MarketPsych was founded by Dr. Richard Peterson, who pioneered the application of neuroscience to investor decision-making. MarketPsych tracks fear, optimism, confusion, urgency, and joy alongside simple positive/negative sentiment — dimensions that matter for understanding how markets actually move. - Research basis: "Trading on Sentiment" (Wiley Finance, 2016) — available in English, Chinese, and Japanese
10+ perceptual dimensions per asset
Most sentiment providers output a single score between -1 and +1. MarketPsych tracks 10+ distinct perceptual dimensions per asset — from macro language to emotional states — enabling data use across risk management, regime detection, and signal generation. - 500+ citations on Google Scholar — more than any direct competitor in financial sentiment analytics
The longest sentiment history in the market
With news sentiment data starting in 1998 — and select sources extending back to the 1800s — MarketPsych offers the longest backtestable history of any purpose-built financial sentiment provider. Strategy validation across multiple full market cycles — dot-com, 2008, COVID — requires this kind of depth. - 27+ years of news sentiment history (select sources extending to the 1800s). Crypto coverage from 2009 — the earliest in the industry
Flexible delivery — Direct API, Snowflake, Databricks & LSEG
MarketPsych delivers data across the platforms quant teams actually work in. Whether you're running pipelines on Snowflake or Databricks, integrating via Direct API, or accessing through the LSEG ecosystem, MarketPsych meets you where you are. Every client also receives free research support and extensive Python notebooks. - Four delivery channels: Direct API · Snowflake · Databricks · LSEG — no terminal required
Independent validation: Deutsche Bank study
In a head-to-head comparison conducted by Deutsche Bank Quantitative Strategy (Quantcraft series, November 2022), MarketPsych demonstrated superior predictive power for macro asset classes — commodities, currencies, and fixed income. - Deutsche Bank Quantcraft #43 (Nov 2022): "MarketPsych social media sentiments appear to be a strong predictor of currency returns."
Powers Yahoo Finance & the iPhone Stocks App
MarketPsych's Text Tagging Engine is the technology behind the Named Entity Recognition shown to hundreds of millions of users on Yahoo Finance and the iPhone Stocks App — globally. This consumer-scale deployment is a proof point that no other financial sentiment specialist can match. - MarketPsych Text Tagging Engine powers Yahoo Finance + Apple iPhone Stocks App — serving hundreds of millions of users worldwide