MarketPsych

The Power of Minds Over Markets

General Information
Company Name
MarketPsych
Founded Year
2010
Location (Offices)
Singapore +2
Founders / Decision Makers
Number of Employees
16
Industries
Analytics, Big Data, Finance
Funding Stage
-
Social Media

MarketPsych - Company Profile

MarketPsych is a Singapore-based startup with a mission to harness The Power of Minds Over Markets. Founded in 2011, the company provides real-time media analytics and data feeds to financial and government institutions in 25+ countries, catering to renowned entities such as the world's largest hedge funds, pension funds, and banks. Utilizing LLM-based NLP software, MarketPsych labels millions of entities and identifies thousands of themes, topics, and emotional tones in influential and credible sources from news, social media, transcripts, filings, and press releases. Operating in 13 languages, the startup processes over 2 million articles and posts daily, offering on-premises NLP installations, granular feeds, aggregated feeds, and predictive models to its clients. Moreover, through its partnership with London Stock Exchange Group (LSEG), MarketPsych delivers the Refinitiv MarketPsych Analytics (RMA), covering millions of assets and providing ESG analytics for 120,000 companies and 252 countries and territories. Of particular note is MarketPsych's StarMine MarketPsych Media Sentiment Model, which has demonstrated a Sharpe ratio of 1 across thousands of US and global stocks since its launch in January 2020, effectively predicting stock prices. The startup operates at the intersection of Analytics, Big Data, and Finance, making it an attractive investment prospect for venture capitalists seeking exposure to disruptive technologies in the financial industry. With a track record of delivering high-value predictive analytics and sentiment data, MarketPsych has the potential to further expand its market presence and enhance its offerings, making it an appealing opportunity for investment.

Taxonomy: Financial market research, Predictive analytics, Sentiment analysis, Natural language processing, Artificial intelligence, Big data, ESG data, Cryptocurrency data

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