惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

雷峰网
雷峰网
GbyAI
GbyAI
Stack Overflow Blog
Stack Overflow Blog
Apple Machine Learning Research
Apple Machine Learning Research
The Cloudflare Blog
WordPress大学
WordPress大学
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
F
Fortinet All Blogs
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Microsoft Azure Blog
Microsoft Azure Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 聂微东
L
LangChain Blog
云风的 BLOG
云风的 BLOG
Jina AI
Jina AI
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
I
InfoQ
大猫的无限游戏
大猫的无限游戏
MyScale Blog
MyScale Blog
人人都是产品经理
人人都是产品经理
小众软件
小众软件
量子位
The GitHub Blog
The GitHub Blog
博客园 - 【当耐特】

Hacker News: Show HN

PurrrrrFocus: Pomodoro Timer App - App Store Workflow Engine — Multi-Step Orchestration for Bun RapidPhoto: Pro Photo Editor App - App Store GitHub - DheerG/swarms: Achieve extraordinary results with claude code across a variety of tasks SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Show HN: VCoding – A 5 MB native Windows IDE with no dynamic dependencies Show HN: LLMs don't hallucinate because they're bad at math, it's the format GitHub - Agent-FM/agentfm-core: AgentFM is a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. AgentFM lets you run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Show HN: Tracking Top US Science Olympiad Alumni over Last 25 Years GitHub - Potarix/agent-hub: One place to talk to all your agents Show HN: Runtime security for AI agents(injection,tool abuse, data exfiltration) GitHub - dubeyKartikay/lazyspotify: Terminal Spotify client for macOS and Linux GitHub - the-banana-tool/king-louie: Easy to use GUI Personal AI Assistant. Win/Linux/Mac. Show HN I made my vacation rental bookable by AI agents–no Airbnb, 0% commission GitHub - basteez/jsf-autoreload: maven plugin to enable hot reload on jsf projects uvm32/hosts/host-gdbstub at main · ringtailsoftware/uvm32 GitHub - labsai/EDDI: Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus. GitHub - glitchnsec/fortyone-oss: AI Executive Assistant Platform Quickstart | Alien GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. GitHub - ocrbase-hq/ocrbase: 📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. GitHub - impactjo/home-memory: MCP server that lets your AI assistant remember everything about your home. GitHub - Sets88/dbcls: DbCls is a powerful terminal database client that supports various databases GitHub - neptun2000/heor-agent-mcp GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh RollQuation: Math Puzzles - Apps on Google Play GitHub - dropbox/witchcraft Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis GitHub - opentalon/opentalon: OpenTalon is an open-source platform built from the ground up in Go as a robust alternative to OpenClaw LinkedIn™ 职位抓取工具 - Chrome 应用商店
Sean Gong — Ex-Citadel Options Trader
Entropnt · 2026-06-23 · via Hacker News: Show HN

FROMSean Gong <PERSON>Ex-Citadel Options Traderlinkedin.com/in/s-gongTOYOU <GUEST>SENT------ --:--:--REread me, then ping me on the right →

Hi — thanks for opening this.

For four years I made markets in single-stock options at Citadel Securities — quoting two-sided prices in ~100,000 options across nearly 300 stocks in India and Hong Kong, and managing the risk that piled up when everyone traded against me. I traded semi-systematically: most of our edge lived in models and algorithms we'd built, but a person still decided when to trust them.

I helped automate the desk so each of us covered 3x what traders elsewhere could, and wrote the 15,000-word manual for the traders behind me — which is really what this site is. Most independent traders aren't beaten by missing information; they're beaten by approaching trading wrong.

I'm here for one thing: helping you build a robust trading strategy — by running your idea through the way the market-making desk on the other side thinks. Not signals, not options theory, not a verdict on your portfolio.

The lens we'll think through:

  1. 1) Is the edge real?Where do you think the price is wrong? And why hasn't the market already taken the opportunity? If the reason's obvious, the 'edge' is usually someone on the other side knowing more than you.
  2. 2) How big should you go?Not gut feel — the desk answer is Position = Edge / Variance: bigger when the edge is clean, smaller when it's noisy. We land on a rule you can actually follow.
  3. 3) Can you actually capture it?An edge on paper isn't an edge. We check it survives costs, execution and the venue — whether the market's even deep enough to pay you for the view.

So open the IM on your right and bring me an idea — a view, a hunch, a market you keep watching. We'll think it into a real trade together, and you'll leave with a strategy report: an honest read on it through a Citadel quant's eyes, plus clear next steps to get it trading profitably in production.

Educational use only — AI-generated persona, not investment advice, not real-time data. A Bloomberg-style homage; not affiliated with or endorsed by Bloomberg L.P.