Causal Whale Intelligence & MEV Game Theory
Etherscan logs show transfers after blocks are sealed. AlphaSeeker evaluates recursive graph rules over mempool transaction queues to deduce inventory rebalancing, anticipate price slippage cascades, and verify sandwich attack profitability before inclusion.
Causal on-chain deduction computes the price impact of pending capital flows. By modeling liquidity pool bonding curves, wallet clustering, and mempool bids in Datalog, our engine calculates post-trade slippage with 98%+ mathematical certainty before block inclusion.
Live Causal Inferences
Real-time recursive logic rules evaluating large wallet transfers and sandwich activity.
Datalog rule matched: multi-pool inventory rebalancing following CEX price shock.
Temporary 18 bps downward slippage on WETH/USDC; creates 0.18% cross-DEX buy window on Curve.
Datalog rule matched: accumulation signature across 4 sub-wallets with zero prior transfer ties.
Liquidity depth increased by 22%; triggers Momentum Grid upper band breakout.
Datalog rule matched: sandwich backrun execution blocked by dynamic slippage shield.
Attacker paid 0.42 SOL in priority fees with zero return. Target transaction preserved intact.
Why Causal Datalog Beats Raw Transaction Logs
Etherscan and Arkham tell you that Address A transferred 5,000 ETH to Address B. But what does that mean for your trading strategy? Datalog evaluates recursive graph rules to deduce whether Address B is a known market maker inventory rebalance, a preparatory collateral deposit for an Aave loan, or a pending multi-DEX liquidation cascade.
// Causal deduction rule: identify hidden sandwich preparation
mev_sandwich_prep(Searcher, TargetPool, Vol) :-
mempool_raw_tx(Tx, Searcher, InAmount),
target_victim_tx(VictimTx, TargetPool, LargeSwap),
miner_priority_bribe(Tx, BribeAmount),
BribeAmount > 0.05,
Vol := InAmount.