Distributed Networks Institute
Frequency Weighted OrderBook Analysis
A Proximal Policy Optimization Approach to Detect Spoofing in Algorithmic Trading
This is an official implement for "Detecting Suspicious Activity in the NFT Ecosystem using Temporal Graph Analysis"
🛡️ Physics-inspired RegTech toolkit for financial market surveillance. Detects Pump-and-Dump schemes, Wash Trading, and volume-price divergence using price kinematics.
Open-source HKEX CCASS shareholding scanner for Hong Kong IPOs. 132 stocks, 109K holder records, 46 empirical findings. Daily automated collection via GitHub Actions.
Advanced wash trading and market manipulation detection system for XRP Ledger DEX. Real-time monitoring with automated risk scoring, Grafana dashboards, and 100% ledger coverage.
Web3 Developer | DeFi Researcher | Smart Contract Security
Research and diagnostic data documenting how historical disinformation, when encoded into AI and financial algorithms, ceases to be a narrative and becomes a Systemic Risk Contagion. Using the cannabis industry as a high-fidelity case study for model recalibration in emerging and stigmatized markets.
Machine-checked Lean 4 verification of cross-impact no-price-manipulation
End-to-End Python implementation of Zwydak et al.'s (2026) non-parametric framework for flagging artificial trading activity on centralised crypto exchanges. Uses MFDFA multifractal spectra, sign-preserving DCCA, ApEn/SampEn and mean-shift change-point detection on 1-minute tick panels.
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