What is AURORA — and Why Does It Need to Exist?
A lot of people assume DeFi is “fair” because everything is on-chain.
In reality, manipulation hasn’t disappeared — it has evolved.
Through my research (published on SSRN), I found that manipulation in decentralised markets is often harder to detect not because data is hidden, but because it’s fragmented, fast-moving, and technically complex to interpret.
Here are some of the most common patterns:
1. Wash Trading
Artificial volume created by the same entity trading with itself across wallets to simulate liquidity or demand.
2. Pump-and-Dump Schemes
Coordinated buying (often off-chain organised) followed by rapid selling, leaving late participants exposed.
3. Liquidity Manipulation
Actors add/remove liquidity strategically to distort price signals or exploit slippage in AMMs.
4. Front-Running / MEV (Maximal Extractable Value)
Bots or validators reorder transactions to profit from pending trades — effectively exploiting users at the execution layer.
5. Spoofing-like Behaviour (Emerging in DeFi)
While traditional order books are limited in DeFi, similar effects can be created through liquidity positioning and rapid transaction patterns.
The challenge isn’t that these behaviours are invisible.
It’s that:
Data exists across multiple protocols
Wallet identities are pseudonymous
Patterns only emerge across time and interactions
There is no unified surveillance layer
This is the gap AURORA is built to explore.
How AURORA Approaches This Problem
AURORA is an early-stage market surveillance prototype designed to:
• Aggregate on-chain activity across relevant data points
• Identify behavioural patterns rather than isolated transactions
• Flag anomalies that may indicate manipulative activity
• Translate complex blockchain data into interpretable signals
Instead of asking:
“What happened in this transaction?”
AURORA tries to ask:
“What pattern of behaviour does this represent?”
The broader goal is not just detection.
It’s to test whether institutional-style surveillance principles — the kind used in traditional finance — can be adapted to decentralised systems where:
There is no central authority
Participants are pseudonymous
Data is open but unstructured
If DeFi is going to scale into credible financial infrastructure, it will need systems that go beyond transparency and toward interpretable, actionable market intelligence.
