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ξ  Project Xi

Project Xi * (pronounced “zee”) helps investors navigate a more complex world by unlocking better intelligence across risk, return, and impact.  This idea is the result of crowdsourced brainstorming from the Three Questions Pilot of the Re-think Risk Return Impact initiative over the first half of 2025. Project Xi aims to surface explainable, predictive signals through an open, shared intelligence platform so all investors can align financial returns and positive impact to achieve superior results.

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The Idea

I welcome ongoing questions and input into this idea to determine viability and how it needs to evolve. Take a look at the Project Xi white paper below and provide feedback / questions through the online form.

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Stay tuned for further developments.

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Thanks,

Holden

Early Feedback So Far

Initial feedback in the development of Project Xi has generated some consistent themes that will inform the next stages of work. Many thanks to friends and colleagues who have provided valuable early insights so far:

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Showcase compelling signal examples

Develop more clear, sector-specific case studies that demonstrate how predictive signals drive superior investment outcomes in practice.

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Focus on investor needs and results

Refine the Project Xi concept around how investors of all types (alpha-seeking, mission-driven, and blended-return) achieve superior results that current tools cannot deliver.

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Advance the open platform vision

Further develop Project Xi as the neutral bridge that connects siloed data efforts into a trusted, shared intelligence infrastructure for the investment ecosystem.

* Xi (ξ, pronunced “zee”) is the fourteenth letter of the Greek alphabet and a suitable symbol of this initiative given the use of other Greek letters in investing such as alpha and beta. In different fields, Xi sometimes represents random variables, uncertainty, emergent complexity, abstract unknowns, or hidden nodes. Project Xi embodies these characteristics as a learning platform to help market participants explore order and emergent predictability within increasing market complexity.

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