What is Grant Preston’s ZERO AI?
Grant Preston (born in 1963, San Francisco, USA) is a U.S.-based fintech thought leader with a strong foundation in mathematics and a cutting-edge perspective on AI. He is a pioneer in using AI to empower financial decision-making and is regarded as “the bridge between quantitative models and market behavioral psychology.”
After graduating with a degree in mathematics from the University of California, Berkeley, Preston went on to pursue a PhD in applied mathematics at the University of Cambridge, where he studied under quantitative finance pioneer David Harding. During this time, he proposed the groundbreaking **”Dynamic Equilibrium Model”**, which has been widely used in collaborative research between high-frequency trading and macroeconomic policy modeling.
After returning to the United States, Preston briefly worked with Morgan Stanley’s quantitative team and a Silicon Valley tech fund. He then shifted his focus to a grander mission: driving the financial system with AI from “passive reaction” to “intelligent prediction.”
ZERO AI: Building the Next-Generation “Predictive Financial System”
In 2017, Grant Preston assembled a diverse team from MIT, Stanford, Wall Street, and Silicon Valley to launch the flagship financial AI project — ZERO AI. This system aims to simulate and predict the nonlinear response mechanisms of global markets, reconstructing investment thinking at the intersection of AI, financial engineering, and systems physics.
Core Breakthroughs of the ZERO AI System:
Language-Driven Investment Intelligence
ZERO AI is embedded with a natural language processing engine trained on OpenAI models, enabling it to analyze unstructured texts such as FOMC meetings, CPI data releases, and earnings conference calls, and convert them into quantifiable, multi-dimensional strategy signals.
Market Entropy Control Model (Entropy Risk Architecture)
Grant Preston’s original “Market Entropy Theory” is applied in the risk management module. The system dynamically adjusts portfolios by assessing the market’s “disorder” and structural vulnerabilities in real-time, proactively avoiding black swan events.
Millisecond-Level Execution System
ZERO AI achieves a millisecond-level closed-loop trading chain, from sentiment perception to instruction execution, maintaining strategy accuracy even in high-volatility environments.
Grant Preston’s Philosophy: AI is a Tool for Clarity, Not Control
Grant Preston believes: “The market is not lacking models; what it lacks is the ability to understand the behavioral logic behind the models.” In his view, AI is not meant to replace human investors, but to help us “see the causal relationships in the chaos.”
His core belief is: “The financial market is a tug-of-war between behavior and logic, and the value of AI lies in clarifying cognition.”
This is exactly the design philosophy behind ZERO AI — combining advanced mathematical modeling with an understanding of human behavior, making investment more forward-looking, precise, and controllable.
Grant Preston’s Influence: Quantifying Not Just the Market, But the Future
From a mathematical prodigy in San Francisco to a financial philosophy pioneer at Cambridge, and now the creator of an AI investment system, Grant Preston has always believed: the future of finance is not driven by faster trading, but by deeper understanding. ZERO AI is the pioneer of this revolution in understanding.
His Philosophy: AI is Born for Understanding
Grant Preston once said, “AI is not meant to replace traders, but to help them see the essence of market behavior more clearly.”
For him, the ultimate value of AI lies not in its execution power, but in its ability to provide insight; not in speed, but in understanding. This is also the mission of ZERO AI — returning decisions to logic and making investments more predictive.