Prion

Liquidation trader

[Prion @prion_hp]

@wenwenyingying @HypioHL Big shit. A dead collection

[Prion @prion_hp]

@giaptuatx Lý do mày toạc là trade coin nhưng có trade đ’ đâu, mày trade X ấy chứ :)))

[Prion @prion_hp]

@Thienthien1305 Cô giáo cũng có ngày qua đây kiếm cơm thì mới hiểu ngành air nó tàn tới như nào 😭

[Prion @prion_hp]

@MartinHo99999 Hổ chăm dùng bot AI phết nhỉ, tao report cho nikita rồi đấy. Chúc may mắn nhé

[AI Spanish Community @aiscwork]

Anthropic ha lanzado una guía para construir Agentes de IA que automatizan una empresa entera.

Gratis.
De los ingenieros que construyeron Claude.

Agentes que trabajan, se reparten tareas y ejecutan todo solos.

Guárdate este post. 🔖

[Prion @prion_hp]

@gutsberserk2010 Nhớ chú baby đóng app nhảy cầu quá 😆

[matt @mattknowsai]

ALGUIEN ENCONTRÓ LA MANERA DE APRENDER CUALQUIER COSA 10 VECES MÁS RÁPIDO CON IA.

NotebookLM + Gemini + Obsidiana.
13 minutos. Dale una oportunidad.

Aquí lo tienes. ⬇️

[stellar protocol @stellarprtcol]

Gue baru nemu project open source yang bikin gue langsung berhenti scroll.

Serius.

Jarang banget gue nemu sesuatu yang langsung bikin mikir, "Kenapa gue baru tahu ini sekarang?"

Namanya Everything Claude Code.

Awalnya gue kira ini cuma kumpulan prompt atau template biasa yang dibungkus dengan nama keren.
Ternyata pas gue lihat lebih dalam, ini jauh lebih gila dari yang gue bayangkan.
Mereka basically sudah nyiapin hampir semua hal yang biasanya harus lu setup sendiri selama berhari-hari bahkan berminggu-minggu.

Yang bikin gue makin excited:
🔥 30 AI agents siap pakai
🔥 64 skills bawaan
🔥 33 commands untuk berbagai workflow coding
🔥 AgentShield dengan 1.282 security tests terintegrasi
🔥 Planning, code review, bug fixing, TDD, sampai optimasi token
🔥 Support Claude Code, Cursor, OpenCode, dan Codex CLI

Dan yang paling keren?
Semua ini open source.
Gratis.
Bisa langsung dipakai.
Kalau lu pernah habisin waktu berjam-jam buat nyusun workflow AI coding sendiri, nyari agent yang cocok, setup command, atau ngatur environment dari nol, lu bakal ngerti kenapa gue semangat banget waktu nemu repo ini.

Rasanya kayak menemukan toolbox yang isinya sudah lengkap sebelum mulai bangun sesuatu.
Bukan berarti tool ini bakal otomatis bikin semua project sukses.
Tapi jelas bisa menghemat banyak waktu yang biasanya habis buat setup dan eksperimen.
Jujur aja, ini salah satu repo AI yang paling menarik yang gue temukan dalam beberapa minggu terakhir.

Dan kalau lu suka ngoding pakai AI, simpan postingan ini sekarang juga.

Karena feeling gue, beberapa bulan dari sekarang repo ini bakal ada di daftar tool yang dipakai banyak developer setiap hari. 🔖🚀

[Prion @prion_hp]

@cryptoman6789 @solotop999 @thekhuongeth Thế là iq cao hơn bao nhiêu rồi còn gì. Phải cảm ơn anh khôn lường đấy

[Daffy Trader @Duffytrader]

Dubai’de tanıştığım trader bir dostum var.

Bugün bayram için onu aradım.

Adam yıllardır bu işin içinde.

Telefonu açtım, bayramını kutladım, hâl hatır sorduk. Sonra lafı grafiğe getirdi.

“Sana bir şey göstereceğim” dedi. “Bunu anlarsan, bir daha asla aynı gözle bakamazsın.”

Ve bana market maker modelini anlattı.

Şimdi aynısını sana anlatıyorum.

Kaydet, çünkü bir daha bu kadar net duymayacaksın.

“Bir adam düşün” dedi. “Cebinde milyonlar var ama bir derdi var.

O kadar büyük pozisyon açacak ki, normal alsa fiyatı kendi zıplatır, kârını kendi öldürür. O yüzden gizlenmek zorunda.

Gizlenmenin tek yolu da senin gibi binlerce küçük yatırımcıyı tuzağa çekmek.”

Ona “Akıllı Para” diyelim. Ve sana o sahneyi anlatayım.

Perde açılır. Fiyat bir bölgede sıkışır. Original Consolidation. Sıkıcıdır, yatay gider, herkes esner. Ama Akıllı Para tam burada sessizce sahneyi kurar. Oyuncular yerine geçer.

Sonra fiyat yükselir. Yukarı, daha yukarı. Premium bölgeye, yani pahalı tarafa. İçindeki ses “kaçırıyorum, hemen al” diye bağırır. Alırsın. İşte tam o an, Akıllı Para gülümseyerek sana satar. Sen tepeden alırken o tepeden boşaltır.

Derken yapı kırılır. Önce MSB, sonra BOS. Grafik aşağı döner. Sen “geri gelir” deyip beklersin, çünkü sana hep “düşüşte al” dediler. Ama bu bir tuzaktı. O kırılan yapı yön değiştiğinin ilanıydı, sen okuyamadın.

Sonra en zalim kısım. BOS-DOL.

Dostum tam burada durdu, “şu $$$ işaretini gördün mü?” dedi. “Orası senin stop-loss’larının yattığı yer.”

Akıllı Para fiyatı oraya kadar iter, herkesin stopunu süpürür, likiditeyi toplar. Sonra ikinci bacak gelir, 2nd Leg. Dönüş tamamlanır. Fiyat hedefe, Liquidity Grab’e sert iner. Av bitti.

Sen zarardasın, o cebini doldurdu.

“Şimdi” dedi, “madalyonun diğer yüzü. BUY modeli. Aynı film, ters çekilmiş hali.”

Bu sefer Akıllı Para almak ister. Ucuza. Fiyatı aşağı iter, korku yayar. Distribution, sonra sellside likidite süpürülür. Herkes “bitti bu iş” deyip satar.

Tam o anda, kimse bakmazken, Accumulation bölgesinde sessizce toplar. Ardından BOS-DOL ile likiditeyi yukarı çizer ve Buyside Liquidity’e doğru patlar. Sen “keşke satmasaydım” derken o zaten içeride.

Telefonu kapatmadan önce son bir şey söyledi:

“İki sahne var ama tek senaryo. Topla, dağıt, avla. Hep tekrar eder. Sen bu döngüde av olmak istemiyorsan, avcının gözüyle bakmayı öğreneceksin.”

İşte bana verdiği o kontrol listesi:

Önce HTF yönünü belirle. Boğa mıyız, ayı mı?

Akıntıya karşı yüzme.

DOL’u bul. Likidite nereye çizilmiş, fiyat kimi avlamaya gidiyor?

Premium’da sat, Discount’ta al. Pahalıyı sat, ucuzu topla.

Tersini asla.

İlk bacaktan girme. Sadece ikinci dağıtım bacağından. Sabret.

Curve’ün doğru tarafından gir. Sellside’dan sat, buyside’dan al.

Bu beş madde, seni av olmaktan çıkarıp avcı yapan şey.

Bayram günü bana bunu hatırlattığı için ona minnettarım. Sen de unutma:

Piyasa rastgele değil. Akıllı para iz bırakır. Biz sadece okuruz.

Vietnamlı trader arkadaşımı bayramdan sonra arayacağım onun bilgileride efsane sadece takipte kalın.

[z @zaynmcps]

Mi entrenador en el gym me preguntó a qué me dedico.

"Sistemas de trading. Open-source."

Se rió. "¿Como day trading?"

"No. Cualquiera puede ver cómo funciona. Todo el código es público."

Soltó las pesas. "¿Entonces te pasas el día mirando código?"

No discutí. Abrí mi laptop.

Una wallet que estaba siguiendo rindió un 71% en un solo mes. Otra movió $4.1M en volumen. Y otra convirtió $500 en $8,200.

Su cara cambió.

"¿Eso... sale de un código?"

Exacto.

Entonces le mostré los repos. Todos públicos. Todos gratis.

El primero: https://t.co/OOcivVredj

Cada operación jamás realizada. Más de 86M de trades. Gratis para descargar. El snapshot te ahorra más de 2 días de investigación.

El segundo: https://t.co/raqPAgzqsc

Bot de market making. Ambos lados del libro. Optimizado en gas. Capa de ejecución en Google Sheets.

El tercero: https://t.co/8JRAQigcLA

ML + heurísticas. Detectó esa wallet de $500 → $8,200 antes de que nadie se diera cuenta.

Market making automático con LLM. Open source del equipo de Polymarket.

Mi entrenador se quedó callado. Luego preguntó: "¿Mi hijo puede usar esto? Le gustan las computadoras."

Perfil: https://t.co/qhxUfIioy1

Le dije que sí. Y le mostré cómo empezar.

La mayoría cree que necesitas un título en finanzas o un fondo de inversión.

No lo necesitas. Solo tienes que leer el código y empezar.

[Prion @prion_hp]

@MartinHo99999 Mày chạy clone build acc hả hổ ? Sao nghe giọng văn giống lũ bot trên mấy bài pr trên fb của bọn vin

[Prion @prion_hp]

@ruato2201 @MartinHo99999 Kackius

[zostaff @zostaff]

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.

[ZARA @HeyZaraKhan]

🚨 BREAKING: Claude Cowork can now build hedge fund–level trading strategies (100% free).

Here are 12 prompts to backtest strategies, analyze risk–reward, and find high-probability trades:

(save it for later!)

[Quant Science @quantscience_]

This paper unlocks every algorithm used by hedge funds.

151 trading strategies.

Get it here (361 page PDF):

[Bitturing @Bitturing]

10个能让你睡觉时赚钱的GitHub仓库：

1. AutoHedge
https://t.co/gQx2zxLkXs

2. Vibe-Trading
https://t.co/YpgFhOTdMM

3. Claude Ads
https://t.co/ejP2DkzVSK

4. Toprank
https://t.co/iZqDABjUWy

5. Fincept Terminal
https://t.co/8ze5AsPqeY

6. Agentic Inbox
https://t.co/5h7Lw9SUk0

7. ClawRouter
https://t.co/seFzqtldXo

8. Camofox Browser
https://t.co/uAJrPwIont

9. Open Higgsfield AI
https://t.co/jGdt0lVzWW

10. Hyperframes
https://t.co/tQhOy5nQz2

[Roan @RohOnChain]

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.

[Blaze @browomo]

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.