4. Bundle Detection
4.1 Coordinated Trading Activities
High-volume memecoins are particularly susceptible to coordinated pump-and-dump schemes. Our system detects bundling by:
Monitoring trading intervals for abnormally high trade frequencies.
Linking wallet addresses that repeatedly transact in unison.
Statistical correlation analysis to measure the relationship between price movements and group trading behavior.
4.2 Sniper Group Identification Algorithms
Sniper bots aim to front-run or back-run trades at lightning speed. We employ:
Kalman Filtering to track real-time price fluctuations and estimate state vectors of suspected sniper wallets.
A specialized Sniper Detection Metric SSS given by:
S=∑j=1m(γj×Δtj×Wj)mS = \frac{\sum_{j=1}^{m} \bigl(\gamma_j \times \Delta t_j \times W_j \bigr)}{m}S=m∑j=1m(γj×Δtj×Wj)
Where:
Δtj\Delta t_jΔtj is the inter-transaction latency.
WjW_jWj is the weighted magnitude of trades.
γj\gamma_jγj is a factor quantifying historical success rates of similar strategies.
A higher SSS indicates a higher likelihood of sniper activity.
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