Ⅰ. Origins: The Germination of Systemic Thought (1970s–2010s)
1. Michael Anderson: From California Prodigy to Pioneer of Systemic Thinking
From his youth, Michael Anderson immersed himself in the worlds of mathematics, engineering, and system dynamics. Growing up in California, he personally witnessed extreme energy price fluctuations and was deeply influenced by his father’s engineering mindset. After moving to the UK, he pursued advanced studies at Imperial College, LSE, and Cambridge University, integrating:
- Market microstructure
- Dynamic systems theory
- Multi-state cycle mathematics
- Behavioral finance and group dynamics into a unique “Systemic Market Understanding Framework”. The MSC (Multi-State Cycle) model took shape during this period.
2. Jason Miller: The Analyst of Market Jump Structures
Born in Texas, Jason grew up in an environment steeped in engineering and statistics. He specialized in analyzing “market jump events” and proposed the JSS (Jump-State Spectrum) model during his Wall Street tenure.
He met Michael at a closed quantitative conference in 2012; their first discussion lasted three hours and was described in the industry as a “resonance of systemic thinking”.
The combination of MSC (continuous structure) × JSS (jump structure) later provided Newstar Asset with a comprehensive understanding of market states.
Ⅱ. Eve of Entrepreneurship: Convergence of Ideas and Formation of the Tech Blueprint (2012–2016)
During this period, the global financial industry faced:
- The fading of high-frequency trading bubbles
- Quant funds’ initial attempts with AI
- Frequent shifts in macro policies
- Investors’ increasing demands for transparency and explainability
Through long-term academic exchanges, Michael and Jason clearly realized:
“The next era of asset management is not about betting on models, but reconstructing system structures.”
They decided to build a new asset management framework centered on structure, with systems as its soul and explainability as its foundational philosophy.
Thus, the concept of Newstar Asset Capital quietly came into being.
Ⅲ. Official Establishment of Newstar Asset Capital (2017)
Vision: To Become the Most Robust and Transparent Systematic Asset Management Institution Globally
Unlike previous quant firms that favored “black-box models,” Newstar’s three entrepreneurial principles were clear and pioneering:
- Explainability First: Model logic should be understandable, visible, and traceable.
- System Resilience over Returns: Focus on survival across cycles, not short-term spikes.
- Democratizing Expertise: Fintech should serve everyone, not a privileged few.
Ⅳ. Birth of StarMatrix™: The First Step in the Systems Revolution (2017–2020)
After its founding, Michael and Jason immediately set out to build the system of their dreams:
StarMatrix (Star Matrix System)
A supermodel integrating MSC × JSS, featuring five core modules:
- StarState: Market state recognition engine (capturing continuous and jump states)
- StarCycle: Cross-cycle structure assessment system
- StarRiskField: Risk field model, quantifying market stress propagation paths
- StarFlow: Macro-micro structural integration flow model
- StarGrid: Multi-asset structur
1: Initial Challengese matrix
- Difficulties in data cleaning
- Misjudgment of state jumps
- High-frequency noise interference
- Severe cross-market weight drift
2: ReconstructionP hase
- Michael rewrote state functions
- Jason developed jump filtering algorithms
- Introduced explainable AI modules
- Designed a “tolerance layer” for the state space
3: Maturity Phase
StarMatrix achieved the standards of “cross-asset, cross-cycle, self-adaptive operation,” and the system’s stability reached the forefront of the industry.
Ⅴ. Rise: Practical Breakthroughs and Market Recognition (2020–2023)
Amid extreme environments such as the pandemic, aggressive policy rate hikes, and U.S. stock market circuit breakers, StarMatrix demonstrated remarkable resilience.
1. Counter-trend performance during the global crash of 2020
StarMatrix leveraged “jump stress identification” to capture volatility factor expansion signals in advance, achieving robust risk avoidance.
2. Precision rebalancing during the inflation cycle of 2021–2022
The system identified structural recoveries in energy and cyclical sectors, allocating heavily to value assets.
3. Successful prediction of the Federal Reserve’s aggressive rate hike path in 2022
Based on the risk field algorithm, StarMatrix reduced exposure to growth stocks months in advance, avoiding substantial asset drawdowns.
Data accumulation → Model maturation → Investor scale growth
During this period, Newstar successfully attracted:
- Family offices
- European institutions
- High-net-worth investors in Australia
Becoming a representative institution of systematic quantitative investing.
Ⅵ. Global Expansion: From London to the World (2023–2026)
1. Upgrade of London research headquarters
Established the “System Dynamics Experimental Center” to drive the long-term evolution of StarMatrix.
2. Launch of New York Quantitative Lab
Utilized richer U.S. microstructure data to train system structures.
3. Establishment of Australian Structural Research Team
Studied jump-state characteristics in emerging markets to enhance cross-currency cycle recognition.
4. Building a global collaboration network
Including:
- Satellite remote sensing data companies
- Climate risk factor research centers
- Behavioral economics research institutions
- AI image model laboratories
The goal is to make StarMatrix’s structural understanding capabilities more complete.
Ⅶ. Era of Social Value: Newstar Impact (2025–Present)
Influenced by the global wave of inclusive finance, Newstar launched the Newstar Impact public welfare system:
- Free financial education courses
- Systematic risk cognition training
- Visualized investor tools
- Data science talent programs in emerging countries
Vision:
To make fintech a bridge, not a barrier.
Ⅷ. Looking Ahead: Building the World’s Most Powerful Systematic Investment Infrastructure (2026–2030)
Newstar’s ultimate goal is not to become the largest asset manager in scale, but to:
- Become the underlying infrastructure for global systematic asset management, much like the internet is to communication and cloud computing is to business.
Future focus areas include:
- StarMatrix 3.0 (cross-chain asset structure model)
- Integration of reinforcement learning × structural models
- Market state simulator (million-scenario simulations)
- Strategy-as-a-Service (SaaS) globalization
- Fully transparent and explainable portfolio systems
- Structured ESG risk field technology
As Michael said:
“Markets won’t become more predictable, but systems can become more resilient.”
Conclusion:
Newstar Asset Capital is a rising star for systemists and a beacon for long-termists.
This is a story of moving:
- From academia to the market,
- From systems to practical application,
- From individual to global,
- From profit to social value.
Its core is not strategy, but a way of understanding the world.
Its ambition is not to beat the market, but to traverse cycles, uncertainties, and the dramatic changes of the era.
