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.
Glossary
Order Flow
Flow ⎊ Order flow represents the totality of buy and sell orders executing within a specific market, providing a granular view of aggregated participant intentions.
Smart Contract
Function ⎊ A smart contract is a self-executing agreement where the terms between parties are directly written into lines of code, stored and run on a blockchain.