FinGPT
Open-Source Financial Large Language Models for Data-Centric Finance
Quantifying the world's financial psychology into actionable trading intelligence.
MarketPsych is a global leader in financial sentiment analysis and behavioral economics, utilizing advanced Natural Language Processing (NLP) to convert unstructured global news and social media content into quantitative data. In the 2026 market landscape, MarketPsych serves as a critical infrastructure layer for institutional LLM-driven trading strategies, providing highly structured sentiment indices across equities, commodities, currencies, and macroeconomic factors. Their technical architecture is built on a proprietary NLP engine that processes information in over 40 languages, identifying over 100 distinct emotional and topical categories such as 'fear,' 'joy,' 'innovation,' and 'litigation.' By partnering with LSEG (London Stock Exchange Group), MarketPsych delivers high-frequency sentiment scores and historical time-series data dating back to 1998, enabling deep backtesting and predictive modeling. Their 2026 position focuses on 'Cognitive Alpha'—the ability to extract market-moving insights from the noise of global information flows, particularly in volatile sectors like cryptocurrency and emerging markets where traditional fundamentals often lag behind social perception.
Extracts 100+ nuanced emotional states including stress, trust, and uncertainty rather than simple binary sentiment.
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Real-time tracking of sentiment regarding inflation, unemployment, and GDP across 100+ countries.
Native NLP processing in 40+ languages avoiding translation artifacts.
Measures the volume of discussion relative to historical norms to identify 'hype' cycles.
Monitors corporate reputation regarding environmental and social governance via external news.
Visualizes how sentiment in one asset class (e.g., Oil) flows into another (e.g., Airline stocks).
Identifies periods of 'Emotional Crowding' that statistically precede high-volatility events.
Traditional market data is too crowded; alpha is decaying in fundamental signals.
Registry Updated:2/7/2026
Rebalance daily.
Official government reports (CPI/PPI) are lagging indicators.
Crypto markets are 90% driven by social media hype and fear.