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Mentions
JPMorgan revealed repo they use to train thier Quants to build trading & research systems JPMorgan's Quants should learn Python for this - you just send it to any LLM or AI agent get your own trading Quant: 1. open LLM or AI agent and send it: jpmorganchase/python-training 2. say: "set this up and redo every notebook on NVDA with real data" 3. it prices an options straddle for your stock, by formula and Monte Carlo 4. it scores company's bankruptcy risk with Altman Z'' and gives an implied credit rating 5. it vuilds the 3D vol surface and yield curve charts 6. then say: "turn all of this into one live dashboard for my stock" that's it. then read below how to run your own AI hedge fund:
@RKosciej Benchmark jest tutaj, surowe modele system-1 wypadają poniżej średniej. Dodam do porównania jpmorganchase/CyberBench
jpmorganchase/python-training jpmorganchase/python-training 是面向业务分析师和交易员的 Python 培训。课程介绍 Python 里的数值计算和数据可视化，给没有正式编程背景的人示范相对复杂的主题也可以上手。 t.co
兄弟们，摩根大通把内部给业务分析师和交易员上的 Python 训练课，直接开源了。 python-training 14.2K Stars｜Apache-2.0｜JPMorgan Chase 官方维护 jpmorganchase/python-training 以前学 Python 金融，路径大多是：先啃语法，写字符串、小游戏，真到市场数据面前又得重新补。 这套不一样，它从一开始就按金融从业者的使用场景来教：数值计算、金融数据、期权、风险分析，直接上真实问题。 核心内容： 1️⃣ Python 基础不空讲语法，围绕 NumPy、数组和数值计算直接上手 2️⃣ 数据分析 + 可视化一起练，处理完金融数据就画图找规律 3️⃣ 拿 Straddle 跨式期权做案例，把 Payoff、波动率、盈亏结构写成代码 4️⃣ 引入 Altman Z'' 这类信用风险模型，把公司财务数据放进金融分析 5️⃣ Jupyter Notebook 全套给出，代码、数据、结果放一起，边改边跑 6️⃣ 金融数据源已迁到 Alpha Vantage，仓库到 2026 年仍在持续维护 它最有意思的地方，不是网上随便拼的“Python 入门课”。 官方写得很清楚：这套训练原本面向 JPMorgan 的业务分析师、交易员，以及部分机构客户，而且由摩根大通技术人员和交易员线下授课。 也就是说，你现在在 GitHub 上看到的，基本就是他们拿来教金融从业者入门 Python 的那套材料。 从零基础一路到期权跨式定价、Altman Z 信用模型。 如果你刚开始学 Python 量化、金融数据分析，或者单纯想看看华尔街大行怎么教交易员写代码，这个仓库很值得从头跑一遍。 🔗 jpmorganchase/python-training