LSEG’s global index provider FTSE Russell today announced the launch of the FTSE MarketPsych Thematic Index Series, developed in partnership with MarketPsych.

The FTSE MarketPsych Thematic Index Series represents the next generation of FTSE Russell’s thematic solutions. The index series utilises a thematic classification database developed through MarketPsych’s AI technology-enabled framework, which analyses LSEG’s trusted datasets – news, transcripts, and financial data – for context, meaning and relevance.

The resulting thematic dataset is incorporated into FTSE Russell’s transparent, rules-based index construction process, to bring scalable, transparent, and adaptive thematic exposure to investors globally.

The FTSE MarketPsych Thematic Index Series is designed to support a broad range of global investors seeking systematic, forward-looking access to thematic investment opportunities, underpinned by transparent and investable index methodologies. Themes are being developed across five main pillars: Technology & Innovation, Society & Demographics, Geopolitical Realignment, Natural Resources & Infrastructure, and Health & Wellbeing, encompassing trends from AI and quantum computing to new energy, space exploration, and ageing populations.

Gerald Toledano, Global Head of Equities and Multi-Assets at FTSE Russell, said:

“We are excited to launch the FTSE MarketPsych Thematic Index Series today, building on LSEG’s long-standing partnership with MarketPsych and reflecting FTSE Russell’s continued focus on developing innovative indexing solutions. By integrating MarketPsych’s AI technology-enabled workflow with LSEG’s extensive datasets and FTSE Russell’s rules-based index construction process, the series provides clients with a systematic and investable approach to accessing evolving investment themes.”

Richard Peterson, CEO at MarketPsych, said:

“Through this partnership, we are pleased to support FTSE Russell in enhancing its thematic indexing capabilities and addressing longstanding investor demand. MarketPsych’s AI and NLP-driven models generate differentiated datasets and insights, which can then be systematically integrated into transparent, rules-based index construction. This approach enables the creation of institutionally scalable, investable indices, extending the reach of our technology to a growing global investor base.”