利威尔eth

After the volatile first week of the new year, the market has entered a critical consolidation and bottoming phase today. Below is a deep analysis based on Coinglass derivatives data and on-chain dynamics:
1. Major Market Trend: BTC $90,000 Key Level Battle
BTC (Bitcoin): Currently, BTC is consolidating in a narrow range between $90,500 and $91,500. Coinglass data shows that the total liquidation value over the past 24 hours was approximately $250 million, with long positions accounting for over 80%, indicating that the recent 'false breakout' has completed an effective cleanup of long leveraged positions.
Key Support: $90,000 (21-day moving average support). If held, next week could see another push toward $95,000.

In the previous chapters, we built a keen vision (Scout) and precise brain (AMM Math). Now, all information flows converge at the strategy layer (Strategy). Here, the robot needs to answer three ultimate questions:
Is there arbitrage space? (Does the price difference cover the cost?)
Which direction should we operate? (Buy low, sell high)
How to ensure profits are securely in hand? (Atomic execution and Jito Bundle)
This article will deeply analyze the algorithmic logic and engineering challenges of cross-DEX arbitrage (Spatial Arbitrage) on Solana.
1. Arbitrage closed loop: Discover and execute

In the "Dark Forest" of Solana, when you receive an account update signal from the Scout module, the competition has entered its final milliseconds. If you still need to send the transaction back to the RPC node for "Simulation" to get a quote, then by the time you get the result, the opportunity has often already been seized by those competitors who completed the calculations locally.
A true professional Searcher never waits for RPC feedback. They maintain a local memory image of the AMM state and, upon receiving the binary data, directly calculate the optimal price through mathematical models in an instant.

If the Inventory module is the robot's 'memory,' then the Scout module is its 'eyes.' In the turbulence of tens of thousands of state changes per second generated by Solana, Scout's task is to rapidly sift through, filter, and decode signals that are truly meaningful for arbitrage strategies.
In the world of MEV, speed is not everything, but without speed, there is nothing. This article will delve into how to build a low-latency, high-concurrency trading listening and parsing system.
1. Listening Philosophy: Scalpel vs. Big Fishing Net
On Solana, we typically face two distinctly different listening needs, corresponding to different technical paths:

In Solana, a track that generates thousands of transactions per second, if you try to listen to all account updates across the network, your bot will quickly be overwhelmed by massive data noise. The bandwidth limitations of RPC nodes, the parsing pressure on CPUs, and network latency can instantly destroy arbitrage opportunities.
Efficient searchers never "blind listen." They use a strategy called "Inventory-Driven Monitoring": first offline constructing a global index of the liquidity pool across the network, filtering out high-value "arbitrage candidate pools," and then conducting precise subscriptions.

When building a Solana MEV system, developers often face a classic trade-off: the speed of Rust vs the flexibility of Python.
In order to be able to burst like a cheetah (execution performance) and switch strategies flexibly like a fox (scheduling flexibility) in the 'dark forest', we adopted a dual-layer architecture design: the control plane built in Python is responsible for strategy orchestration and configuration management, while the data plane built in Rust handles high-concurrency data processing.
This article will break down the logic behind this architecture and how to implement an industrial-grade strategy scheduling engine using Python.

In the world of cryptocurrency, MEV (Maximum Extractable Value) is often referred to as the 'dark forest' of blockchain. With the explosion of the Solana ecosystem, this forest has become increasingly deep and complex. Compared to Ethereum's mature PBS (Proposer-Builder Separation) model, Solana, with its unique parallel execution, extremely high throughput, and a slot time of less than 400ms, provides a completely different set of game rules for MEV explorers (Searchers).
This article serves as the introduction to the Solana MEV deep exploration series, and will break down the underlying logic of Solana MEV from four dimensions: core concepts, transaction pipeline, technical architecture, and engineering implementation.