dhbbbbb
101 posts





Nobody wants to read AI-generated books.







my 16 year old brother read this article on a tuesday night wednesday morning he opened weather.gov checked the NOAA forecast for NYC: 43 degrees checked polymarket: "40-45 range" priced at $0.15 NOAA accuracy: 93%. market says 15%. somebody is very wrong he bought 200 shares at $0.15 next day temperature: 43 degrees shares resolved at $1.00 $0.15 to $1.00. 567% return. one trade. one weather forecast he didn't stop day 1: NYC weather. $170 profit day 3: London temperature. $94 day 5: Chicago high. $210 day 8: Seoul forecast. $147 day 12: back to NYC. $320 he built a routine: 7:00 AM check NOAA 7:02 AM compare with polymarket 7:03 AM buy if divergence > 30% go to school by week 6: starting capital: $400 - birthday money balance: $8,740 trades: 312 win rate: 87.4% avg profit per trade: $26.70 time per day: 3 minutes before school NOAA updates forecasts 9-15 minutes before polymarket adjusts $6 billion government supercomputer vs teenagers checking weather between tiktoks he has made more in 6 weeks than his teacher makes in 2 months the data is free. NOAA is a government website. public. updated hourly the formula is 5th grade math: EV = (0.93 x $1.00) - $0.15 = $0.78 78 cents per share on the best setups my brother doesn't know what LMSR is doesn't know what softmax is doesn't know what a neural network is he knows one thing: NOAA is right 93% of the time and polymarket hasn't figured that out yet i spent 3 months writing 4,000 lines of Rust he checks weather.gov for 3 minutes and goes to school 16 years old. $8,740. 3 minutes a day. one government website what free public data source are you not checking?


分享 5 个开箱即用的 Polymarket 开源交易脚本。 如果你打算在 Polymarket 上构建自动化交易系统,这里有你需要的基础组件。从底层的数据抓取、钱包追踪,到自动化执行和机器学习模型,基本涵盖了量化交易的全套流程。 1. 交易终端 (Trading terminal) 支持快捷键操作、极速下单、盈亏监控以及 Telegram 实时报警。彻底告别每 5 秒就需要手动确认一次钱包签名的繁琐操作。 GitHub: github.com/txbabaxyz/poly… 2. 数据记录器 (Data recorder) 同步抓取 Polymarket 和币安的盘面数据。包括订单薄深度、历史成交和各项技术指标,全部落盘保存并提供实时可视化看板。 GitHub: github.com/txbabaxyz/poly… 3. 自动化交易机器人 (Trading bot) 基于置信度公式动态计算仓位,并设定硬性止损。核心策略是在市场结算前约 4 分钟,系统自动买入当前的高胜率标的。 GitHub: github.com/txbabaxyz/4coi… 4. 钱包分析工具 (Wallet analyzer) 专门用于追踪聪明钱地址。输入任意钱包,自动提取其完整的交易历史,按具体预测市场进行分类,并生成可视化的建仓轨迹图表。 GitHub: github.com/txbabaxyz/coll… 5. 机器学习模型 (ML model) 通过 TAAPI 接口拉取 208 种技术指标,用于预测市场走向并测算盘面的公允价值。 GitHub: github.com/txbabaxyz/mlmo… 以上工具均为免费开源。你可以独立运行这些脚本模块,也可以将它们作为代码库直接喂给 Claude,用来辅助迭代和定制你自己的全自动化交易闭环。




更新一下目前的进展,真的是挺焦虑的: 三个系统全部搭建好了,而且相互之间的调用接口也跑通了,但当我开始实测使用系统C进行 HMM 训练时,AI和我产生了严重的意见分歧... 我认为判断市场结构是否处于震荡还是趋势,用4h或1d数据就可以,但 AI 却强烈要求使用15min数据来训练... 因为我给 Agent 加了“意见不合时可以强烈反对并不执行”的设定,所以我花了一晚上才说服他,毕竟15min的全量数据实在太大了,而且用来判断市场结构也是偏向微观的... 然后就是随着整个大系统越来越复杂,每次有一点小BUG,就要来来回回修很久,因为三个系统之间接口和架构需要连锁适应,所以我体感上感觉整个项目的进度越来越慢了... 不知道你们 Vibe Coding 的时候有没有这种感觉? 我到了后期甚至怀疑 AI 在有意通过放慢执行效率来让我烧更多 Token... 而且这个倾向会随着上下文的增加而逐步增强... 真的有点细思极恐...

























