揭秘Solana机器人：从GitHub蓝图到链上指纹
Demystifying Solana Bots: From GitHub Blueprints to On-Chain Fingerprints
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中文总结 AI 辅助
本研究通过分析GitHub的586个机器人仓库及Solana的200个机器人地址的4400万笔交易，构建Solana机器人分类体系，明确其操作流程，揭示交易行为差异，为Solana机器人研究及运营提供建议。
中文摘要 AI 辅助
Solana是一款新兴区块链平台，旨在实现高吞吐量与低交易费，这使得大规模提交交易成本低廉，进而加剧了机器人垃圾交易及相关金融剥削的风险。Solana机器人通常是链下软件系统，通过构建并提交交易，在竞争激烈的链上执行环境中运行；2026年1月，去中心化交易所上与机器人相关的交易每日交易额超过2.5亿美元。此前针对Solana的研究多聚焦于系统性能、智能合约安全及特定链上现象，但仍缺乏对Solana机器人实际实现内容及其如何体现为可观测链上执行指纹的系统性认知。为填补这一空白，本研究从两个互补视角对Solana机器人开展大规模实证研究：一是从GitHub收集的586个机器人代码仓库，二是Solana上的200个机器人地址，涉及超4400万笔链上交易。研究构建了基于实现的Solana机器人分类体系，涵盖5个领域下的15个类别（如交易操作、最大可提取价值MEV、链上分析等），明确了机器人实现中体现的高度共享的五阶段操作流程，并揭示了Solana机器人在不同交易平台及资产间存在系统性的链上交易行为差异。基于上述发现，本研究指出了未来研究方向，并为在Solana区块链上构建与运营机器人提供了建议。
英文摘要
Solana is an emerging blockchain platform designed for high throughput and low transaction fees, making it inexpensive to submit transactions at scale and, consequently, increasing exposure to bot spamming and related financial exploitation. Solana bots are typically off-chain software systems that operate in a competitive on-chain execution environment by constructing and submitting transactions, and the bot-related transactions on the decentralized exchanges exceed 250 million dollars in daily trading volume in January 2026. Prior studies on Solana have examined system performance, smart-contract security, and specific on-chain phenomena. However, we still lack a systematic understanding of what Solana bots implement in practice and how these implementations manifest as observable on-chain execution fingerprints. To address this gap, we performed a large-scale empirical study of Solana bots from two complementary views: (i) 586 bot repositories collected from GitHub, and (ii) 200 bot addresses on Solana, with over 44 million on-chain transactions. Our study derives an implementation-grounded taxonomy of Solana bots comprising 15 categories grouped into five domains (e.g., Trading Operations, MEV, and On-chain Analytics), identifies a largely shared five-stage operational pipeline manifested in bot implementations, and uncovers systematic variation in on-chain trading behaviors of Solana bots across diverse trading platforms and assets. Based on our findings, we highlight future research directions, and provide recommendations for building and operating bots on the Solana blockchain.
