Prion
1.4K posts
@MartinHo99999 Nhìn hình nghĩ ngay đến TK nhưng kb coin nào haha
Tiếng Việt
Prion retweetledi
Jim Simons made 66%/YEAR for thirty years at Renaissance and never let an outside dollar through the door. Andrew Lo runs the MIT Laboratory for Financial Engineering and trained half the senior quants at Citadel, AQR, and Two Sigma.
In 2019 they sat down at MIT for one hour and 28 minutes. The only time Simons ever talked publicly about money with someone who understood the math.
Sitting on the Finance at MIT channel. Almost nobody outside academia has watched it through.
Bookmark it tonight. Then read the article below.
zostaff@zostaff
English
Prion retweetledi
Prion retweetledi
This paper unlocks every algorithm used by hedge funds.
151 trading strategies.
Get it here (361 page PDF):
English
Prion retweetledi
10个能让你睡觉时赚钱的GitHub仓库：
1. AutoHedge
github.com/The-Swarm-Corp
2. Vibe-Trading
github.com/HKUDS/Vibe-Tra
3. Claude Ads
github.com/AgriciDaniel/c
4. Toprank
github.com/nowork-studio
5. Fincept Terminal
github.com/Fincept-Corpor…
6. Agentic Inbox
github.com/cloudflare/age…
7. ClawRouter
github.com/mksglu/context
8. Camofox Browser
github.com/jo-inc/camofox
9. Open Higgsfield AI
github.com/Anil-matcha/Op…
10. Hyperframes
github.com/heygen-com/hyp
中文
Prion retweetledi
Jane Street pays $650,000 a year for quants. Oxford wrote the exact trading bible to get there & released it for free.
130 pages. Market making, predictive signals, limit orders & portfolio trading. Bookmark & then read the article below on how neural networks win every trade.
Roan@RohOnChain
English
Prion retweetledi
This Chinese guy built a Second Brain in Obsidian and every morning gets 3 trading ideas that brought him $180,000 in 6 months.
Inside he runs a pipeline of 6 workflows on N8N that automatically pulls every read article, listened podcast, and voice note into a shared Obsidian vault, and a neural network analyst every morning at 6:00 finds connections between the fresh and the old and puts the 3 strongest trading ideas for the day into the inbox.
No analytics desk, no Bloomberg terminal, no Telegram chats with traders. Just a Mac Mini by the wall, an iPhone in the pocket, and 1 local Obsidian vault.
And traditional quant funds keep entire teams of 8 people on salary for the same flow of insights, while his expenses are only subscriptions to Readwise, Whisper API, and N8N hosting.
6 pipelines process about 200 sources a day and close the monthly API bill at about $120.
The Mac Mini itself stores the entire vault and keeps the neural network analyst running 24/7, and from the iPhone the owner drops any idea he hears on the go into a Telegram bot, and it lands in the vault inbox in just 30 seconds.
The starting instruction that sits in the VAULT.md file at the root of his vault looks like this:
"you are the AI analyst of a solo trader. you read his vault every morning at 6:00, find connections between fresh and old notes, and deliver 3 trading ideas he can verify in the hour before the market opens.
pipelines:
// Reader (pulls every article and highlight from Readwise, Twitter bookmarks, and Kindle into /notes)
// Listener (transcribes podcasts through Airr and voice notes through Whisper, puts them in /notes)
// Catcher (accepts any message from the Telegram bot and writes it to /inbox with a timestamp)
// Connector (every night reads across the entire vault and updates the connection graph between 4,000 notes)
// Briefer (at 6:00 AM writes a brief: 3 trading ideas for today plus the emerging thesis of the week, puts it in /inbox)
// Mobile (lives in the iPhone, answers any question about the vault by voice, and confirms alerts while the owner is on the go).
you wake the owner with a push notification only when a fresh note contradicts his active thesis or when 1 of the 3 morning ideas has a confidence score above 90%."
This instruction immediately sets the role for the system and the limits of its autonomy.
It knows it is supposed to connect new with old on its own.
It knows it is supposed to prepare 3 trading ideas every morning on its own.
It knows it connects the live trader only when a thesis is contradicted or an ultra-confident idea appears.
→ Reader pulls about 80 articles and highlights a day from Readwise, Twitter, and Kindle
→ Listener transcribes 4 to 6 podcasts a week through Airr and Whisper
→ Catcher intercepts all voice and text ideas through the Telegram bot, averaging 15 to 20 a day
→ Connector updates the connection graph between 4,000 notes every night, adding 25 to 30 new edges
→ Briefer puts a fresh brief with 3 trading ideas and the emerging thesis into the inbox at exactly 6:00
→ Mobile answers any question about the vault by voice and confirms alerts right from the iPhone
And only when a new note contradicts his active thesis or 1 of the ideas breaks 90% confidence does the orchestrator raise the owner with a push notification.
And when the trader at that moment is driving to the gym or eating breakfast, the Mobile agent in his iPhone answers any quick question about the vault by voice: what he wrote about this ticker last week, which 3 sources support the idea of long NVDA, and what counter-thesis already sits in his notes.
The trader makes the decision and sends the order before New York opens.
The fresh brief from last Monday looks like this:
"reader: 78 materials added over the weekend, 11 of them about semiconductors, 4 about energy, 3 about biotech. passing to connector."
"connector: 27 new connections found between fresh materials and the vault, the strongest one is that the Goldman report from Wednesday matches the NVDA thesis you wrote 3 weeks ago."
"briefer: 3 trading ideas for today: long NVDA (confidence 0.84), short Tesla at the close of the quarterly report (0.71), watch URI (0.62). emerging thesis of the week: the market is underpricing capex on data centers."
"alert: your fresh note about long-term risk in semis contradicts the NVDA thesis. sending for review."
In his work setup there is no cloud server, no team of analysts, and not even a Bloomberg subscription.
At home sits a Mac Mini with a local Obsidian vault, on top run 6 N8N pipelines and a neural network analyst, and the same vault mirrors to a secure terminal on the iPhone.
Out of everything I have seen this year, this is the cleanest solo trading setup on a second brain: $120 a month on the API, about $30,000 a month into the account, and between them 6 pipelines, 4,000 connected notes, and 1 iPhone in the pocket.
CyrilXBT@cyrilXBT
English
Prion retweetledi
Prion retweetledi
🚨 خبر عاجل: NotebookLM يمكنه الآن أن يدرّسك مثل مدرس خصوصي من أي جامعة مرموقة!! مجاناً تماماً🤯
إليك 8 برومبتات (أوامر) تستبدل ساعات من الدروس المدفوعة:
(احفظ هذا قبل ما ينتشر) ⭐️
العربية
Prion retweetledi
İnternet hiçbir şeyi unutmaz diyorlar. Yanılıyorlar. Ona unutturmayı bilmeniz gerek.
Geçen gün birinin Google Takeout verilerini inceledik. 2001 yılından beri, tam 185 GB veri birikmiş. Konum geçmişinden yıllar önce sildiğini sandığı ses kayıtlarına kadar her şey orada.
İnternetteki varlığınız saatli bir bomba gibi beklemesin. "Dijital Ayak İzinizi" sıfırlamak sandığınızdan daha kolay. Bu bir amme hizmetidir. Kaydedin, uygulayın.
1. Büyük Veriyle Yüzleşin (Google Takeout)
Önce Google Takeout'a girin ve hakkınızda ne bildiklerini indirin. Gördüklerinize şaşıracaksınız. İyi haber şu: Google'a düzenli aralıklarla (3-6 ayda bir) mail atıp "Hakkımdaki verileri silin" deme hakkınız kanunen var. Buna "Hayır" diyemezler.
2. Dijital Mezarlığı Temizleyin
Yıllar önce açıp unuttuğunuz o forum üyelikleri, utanç verici eski tweetler... Hepsini bulmak için "JustDeleteMe" veya "AccountKiller" araçlarını kullanın.
Mailiniz bir yerlerden sızdı mı? "HaveIBeenPwned" üzerinden kontrol edin. Sızıntı varsa şifrenizi değil, dijital kimliğinizi değiştirme vakti gelmiştir.
3. Görsel Hafızayı Silin
Adınızı arattığınızda çıkanlar buzdağının görünen kısmı. "TinEye" veya Google Görseller ile yüzünüzü ters arama yapın. İstemediğiniz fotoğrafların olduğu sitelere içerik kaldırma formu gönderin. Üşenmeyin.
4. Veri Tüccarlarına (Data Broker) Dur Deyin
Spokeo veya Whitepages gibi siteler verilerinizi toplayıp satar. Bunlardan manuel olarak "opt-out" (sistemden çıkma) talebi oluşturun. Sizin veriniz üzerinden para kazanmalarına izin vermeyin.
5. Telefon Numarası Tuzağı
Numaranız sizi dijital dünyada "siz" yapan en güçlü koddur. Mümkün olan her yerden numaranızı kaldırın. SMS doğrulaması yerine uygulama tabanlı 2FA (Google Authenticator vb.) kullanın. Numaranızı vermeyin, ProtonMail gibi servislerle ikincil (alias) kimlikler oluşturun.
6. Araç Çantası (Setup)
Sıradan tarayıcıları bırakın.
• Tarayıcı: Brave veya Firefox.
• Arama: Startpage.
• Kalkan: uBlock Origin ve Privacy Badger eklentileri.
• Hafıza: Her yer için farklı şifre üreten Bitwarden.
Fotoğraflarınızın deepfake malzemesi, verilerinizin reklam ürünü olmasını istemiyorsanız "Dijital Hijyen" artık tercih değil, zorunluluktur.
Türkçe
Prion retweetledi
This 9-minute lecture by Nassim Taleb on "Probability Distribution" will teach you more about prediction trading than 2 months as a Quant intern at Jane Street.
Bookmark it & give it 9-minutes today. It’ll be the most productive start for your week. Then read article below.
0xDipper@Dipper_pol
English
Prion retweetledi
Prion retweetledi
爱看书的人有福了！
在GitHub挖到一个电子书资源大本营 EBOOK ETC，直接把微信读书、京东读书、喜马拉雅等平台的书都集中到一起找。
经典文学、经管励志、职场创业、技术手册……不管你想看哪类，
标签分类 + 搜索超方便。
最爽的是很多书直接附 epub、mobi、azw3 三种格式，Kindle、各大阅读器秒开无压力。
GitHub地址：github.com/jbiaojerry/ebo…
喜欢的快去收藏，找书效率直接拉满！
中文
Prion retweetledi
有人把学英语这件事彻底搞明白了！
这份指南在GitHub狂飙4.3万收藏，凭什么？
① 不背单词
② 不刷题
③ 用AI+科学方法
④ 像学母语一样把英语练进去
说白了就是——你之前学英语的方式，可能从一开始就错了。
🔗 github.com/byoungd/Englis…
鸟哥 | 蓝鸟会🕊️@NFTCPS
《史上最全天涯神贴合集》1万篇！ 一个在天涯潜水多年的大佬，把他看透这个世界的底层逻辑全整理出来了，不是那种鸡汤废话，是真正戳你心窝子的东西。 为什么有人越努力越穷？为什么规则永远对某些人有利？为什么你感觉哪里不对但说不清楚？ 这份东西能给你答案。 看完你会觉得，操，原来游戏是这么设计的。 🔗 pan.quark.cn/s/778666732880 尽快转存，仅留3天！
中文
Prion retweetledi
🚀 10门全球顶尖大学公司免费AI课程
1.哈佛大学 – Python人工智能导论
edx.org/learn/artifici…
2.微软 – AI初学者指南
microsoft.github.io/AI-For-Beginne…
3.谷歌 – 生成式AI导论
skills.google/paths/118
4.DeepLearning.AI – 人人可学的生成式AI
deeplearning.ai/courses/genera…
5.领英 – 生成式AI课程
lnkd.in/gPiUyjKJ
6.范德堡大学 – ChatGPT提示工程
lnkd.in/gC3MiVTu
7.OpenAI – 开发者版ChatGPT提示工程
lnkd.in/grSCSNwn
8.edX – AI应用与提示工程
lnkd.in/g5C9g4Kp
9.AWS – 提示工程基础
lnkd.in/gaXsDgG9
10.加州大学戴维斯分校 – 大数据、AI与伦理
lnkd.in/gH5chRVT
中文
Prion retweetledi
Prion retweetledi
用了6个月NotebookLM，我敢说它最大程度革新了我的工作流程。
但前提是我掌握了这10个提示词。
这套系统能在1小时内把200页文档转化为清晰答案。
中文
Prion retweetledi
“Hyperliquid already implements a speedbump on taker orders which is roughly 250ms but can spike up to half a second”
(1) great analysis of the details, thanks for taking the time @hftgod
(2) the above speedbump is unacceptable – and I couldn’t sell an execution venue with that to my trader friends with a straight face
Enter competitive DEX’s with little to no speedbump or priority fee auction.
Let’s see what they prefer, shall we?
yang@hftgod
I want to share my thoughts on hyperliquid’s latest priority fees update. I think it’s going to significantly change the market structure there going forwards longer term. A lot of the best market makers on HL - Alber Blanc, Pinely etc. are latency edge guys. They’ve already invested significant resources into trying to simulate what the next TOB is going to look like from pre-validated transactions, like by emitting raw mempool transactions from the node or by reverse engineering the binary to listen to the gossip data. Infra like this is all useless now, because you can literally just pay for it. There's a Dutch auction for the slot, you send your IP with your bid, and if you win, the IP gets whitelisted and prioritised, so the gossip data comes 10ms before everyone else. The change to order priority fees is also interesting - you pay up to 8 bps to reduce the latency of your order. They say it’s empirically 45ms of latency reduced per bp paid, so max of 360ms faster - I haven’t tested this. Under the new system, if a maker cancels their order, that still gets processed first, but for the remaining executable orders, whoever paid more is matched first. Currently it looks like there aren’t that many people bidding for the market data, and even fewer (if any) bidding for the order priority. I think this is because Hyperliquid already implements a speedbump on taker orders which is roughly 250ms but can spike up to half a second so it’s already harder to take - the block time is ~70ms so this is ~4+ blocks as it is, and makers have plenty of time to cancel their liquidity. These fees are paid in HYPE and burned. This isn’t really new - when protocols see trading firms making money they often want to extract more of a cut. Arbitrum did a similar thing with the timeboost auctions, and I’d say this was pretty successful, in that roughly 20-30% of the latency sensitive dex flow moved onto timeboost, and volumes didn’t meaningfully change. We’re sitting at around a year since they shipped this, and timeboost brought in around $7mn in revenue in this time. This is on (roughly) $300bn in volume, so with Hyperliquid at approx. 10x this, I can see the bull case for them to move to this kind of model. Objectively, I think it’s a smarter version of Lighter’s design - Jeff basically just waited to see what Lighter’s business model would look like, improved it, shipped it to testnet on April 10th, and rolled it out to mainnet within a week. I don’t think any firm has had time to think about the game theory of how to bid yet and optimise this, but it should basically completely collapse the gap between the top MMs. Disclaimers - I’m long some HYPE and haven’t sold LIT airdrop (yet).
English
Prion retweetledi
Prion retweetledi
想把整本电子书翻译成中文？用在线翻译工具一段段复制粘贴，不仅费时，还很容易把原来的排版弄丢。
最近发现一个更省事的开源工具：TranslateBookWithLLM，专为大规模文本翻译设计，直接把整本书、整份文档丢进去就能翻。
它支持本地 Ollama 模型或 Gemini API，覆盖常见格式：EPUB 电子书、SRT 字幕、纯文本等。
GitHub：github.com/hydropix/Trans…
翻译时能尽量保留原有结构与格式，并通过智能分块处理让上下文更连贯、长文更稳定。
部署也很友好：Docker 快速起服务，Web 界面和命令行两种方式都能用，建议收藏备用。
中文