## statistical strategies (signal-based)
### tl; dr
* **statistical mev** (non-atomic) convey informed strategies that rely on off-chain information (signal). * examples can be strategies that rely on: - [cross-chains](https://github.com/go-outside-labs/mev-toolkit/tree/main/MEV_searchers/cross_domain_mev) mev - [defi-cefi arbitrage](dex-cex-arb/) - [order flow](https://github.com/go-outside-labs/mev-toolkit/tree/main/MEV_searchers/private_order_flows) trading by aggregating from private and public mempools - [whale watching](https://github.com/go-outside-labs/mev-toolkit/tree/main/MEV_and_trading/whales) * these strategies are more profitable and less accessible due to capital requirements and risk profile.


---- ### in this dir
* [dex-cex arbitrage](dex-cex-arb/) * [routers and aggregators](aggregators) * [convex optimization](convex_optimization)
--- ### links
* [anatomy of stat bots](https://github.com/go-outside-labs/mev-toolkit/blob/main/MEV_searchers/bots/stat-arbers.md) * [`addLiquidity()` sandwich attack optimization problem](https://mirror.xyz/0xc19565163aFdEe3783FC970E4Bd0275B11848d34/oTdSfZEBdp9WPCNaKqDKCkuDJ9neR2UISc_5mMjZKYU) * [dex arbitrage, mathematical optimizations & me, by noxx](https://noxx.substack.com/p/dex-arbitrage-mathematical-optimisations) * [a new game in town, by frontier research](https://frontier.tech/a-new-game-in-town)