Open-Source Infrastructure and Research for Quantitative Finance
A collection of independent work focused on designing, building, and validating novel systems to solve complex problems in decentralized financial markets.
Published Research & Infrastructure
Foundational Data Infrastructure
The Whale Tracker: A Framework for On-Chain Profitability Analysis
A robust, open-source framework for indexing, processing, and analyzing on-chain transaction data to identify realized profitability. This project demonstrates a scalable architecture for handling real-time blockchain data and serves as a foundational tool for quantitative behavioral analysis.
const analyzer = new WhaleTracker({
chain: "ethereum",
datasource: "indexer",
realtime: true,
})
await analyzer.process()
.then(results => {
console.log("Profitability:", results)
})Research Pipeline
Mechanism Design: A New Primitive for Risk Mitigation
In DevelopmentPaper Forthcoming Q1 2026
Exploring a novel protocol design to address the fundamental capital inefficiencies and risks associated with on-chain liquidity provision.
Signal Processing: Alpha Generation from Unstructured Data
Exploratory PhaseResearch into novel methods for extracting predictive signals from non-traditional, on-chain data sources and event logs.
About
Professional Headshot
(Black & White)
I am a quantitative researcher and builder specializing in decentralized financial systems.
With a background that transitioned from pharmacy to software engineering, I am driven by a passion for solving complex, first-principle problems. My work focuses on building robust data infrastructure and designing novel financial mechanisms to better understand and navigate on-chain markets.
My process is rooted in rigorous backtesting, open-source contribution, and data-driven validation. I believe the most impactful solutions are found at the intersection of deep technical execution and sound financial theory.
Connect:
Get in Touch
I am always open to discussing new research, challenging problems, or potential collaborations.
The best way to reach me is via email or LinkedIn. For inquiries regarding my research, please use the contact information below.
Professional Email:
research@quant-source.com