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.

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.

Open-source HKEX CCASS shareholding scanner for Hong Kong IPOs. 132 stocks, 109K holder records, 46 empirical findings. Daily automated collection via GitHub Actions.

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.

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.