Forensic Data Analysis

Forensic data analysis involves the use of mathematical and statistical techniques to identify patterns, anomalies, or evidence of fraud within a dataset. In cryptocurrency, this is applied to examine order flow and transaction patterns for signs of market manipulation.

It helps investigators reconstruct events following a protocol exploit or a market crash. By analyzing large volumes of on-chain and off-chain data, forensic analysts can uncover hidden relationships between wallets and trading venues.

This practice is vital for post-mortem analysis of systems risk and contagion. It turns raw data into actionable intelligence for security and compliance.

Data Normalization
Transaction Data Standardisation
Forensic Review
Post-Mortem Forensic Analysis
Blockchain Forensic Audits
Illicit Asset Tracing
Market Data Standardization
Anomaly Detection Algorithms