【 Arbitrage 学习笔记 - V3 池子 ticks 快速获取 】 有些时候进行 V3 pool 进行交换会计算代币输入输出的具体价格及数量会考虑到池子的 tick 数据以及当前 tick 的流动性状态，我之前参照大佬 Zacholme7/PoolSync 会使用从历史区块同步的方法来获取池子的 ticks 状态，但是我在实际使用中只要当前池子的 ticks 数据，并不需要知道历史的变化，所以再回去查看文档和查阅资料发现其实还有更好的方法。（原谅我还只是小白） ▰▰▰▰▰▰ Uni V3 Tick tickBitmap 首先回顾一下，在 v3 中使用 Bitmap 来存储 tick 的状态例如：100101001101001，1 表示有流动性，0 没有被初始化，两个字节来存储 (0x4a69)。用 word n 来划分子数组，word 中有 256 个位置。 ▰▰▰▰▰▰ 使用合约获取 ticks 信息 我之前使用区块事件扫描获取 mint/burn，其实在 V3 的 pool 有两个函数 tickBitmap() 和 ticks() 分别来获取位置信息和具体 ticks 信息，那么步骤就非常简单了，程序可以第一遍遍历计算 Bitmap word 数组大小如果 bitmap == 0 就跳过，第二遍获取有效的 word 中的 tick 数据。 但是如果调用 RPC 还是需要发送大量的查询，那么这时候我们使用链上合约来一次性获取我们想要的信息，让节点把我们这步骤都做了。当然你也可以加上 tokenName，decimals 等信息。

After 3.5 years building Story from scratch, I’m stepping out of my full-time role. I’ll stay closely involved as a strategic advisor. While incubating Poseidon, I rekindled my original passion from my DeepMind days: applying AI to frontier industries like science and space. It's time for me to fully pursue this path. I believe we’re approaching a crucial inflection point in humanity’s arc as an industrial society. Language generation is just the initial wave of a cascade of abundant intelligence across fields like robotics, biopharma, and space that, if successful, will constitute a new Industrial Revolution. Looking back, building Story has been the most meaningful experience of my life. What began as a whiteboard sketch when I was 22 turned into more than I could have imagined: a network supporting IPs from Balmain to BTS, with millions of transactions and $130M+ in backing from partners like a16z. Now, Story enters Chapter 2 with SY at the helm, Andrea as our new CPO, and Sandeep as Chief AI Officer. And as I embark on my next venture, I won't be going far, as Story plans to partner and invest. To our investors, partners, and nearly 100 incredible teammates: thank you for an incredible ride!