黄阿鬼

don't be panic and life goes on

[黄阿鬼 @justaaghosy]

@Agu_chilong 168牛逼

[黄阿鬼 @justaaghosy]

@Agu_chilong 大佬，南威突然起猛了

[黄阿鬼 @justaaghosy]

@Agu_chilong 收到

[Donald J. Trump @realDonaldTrump]

A BIG THANK YOU to our legendary friend, @ElonMusk, for his incredible generosity in giving SpaceX Stock to millions of American children through TRUMP ACCOUNTS! This is exactly what was envisioned when we created TRUMP ACCOUNTS — Bringing together the GREAT PRIVATE SECTOR, Elon and so many more, to invest in our children, by far our greatest and most important asset, and give every American Child a piece of the American Dream. Thank you Elon! President DONALD J. TRUMP

[黄阿鬼 @justaaghosy]

@Agu_chilong 宗申动力怎么说，大佬

[黄阿鬼 @justaaghosy]

@Agu_chilong 佬，亚玛顿是走是留？

[黄阿鬼 @justaaghosy]

@Agu_chilong 已入

[黄阿鬼 @justaaghosy]

@splucksp 怎么搞

[Tesla @Tesla]

Real life, baby

[黄阿鬼 @justaaghosy]

@dearmonsterx 999

[黄阿鬼 @justaaghosy]

@barber_mae68154 报名

[Roan @RohOnChain]

i still don't understand why everyone is NOT using this 100% free alternative to TradingView

it does everything TradingView charges $2,399/year for FREE

i plugged openmarket into my Opus 5.5 + Jev stack and built an ORDER FLOW trading desk that is running autonomously 24/7

here is the EXACT system you can build today:

1. openmarket streams three things live for free, the liquidation heatmap, the order book depth, and CVD, the exact order flow a fund pays thousands for

2. the liquidation map shows where the stops are stacked, price hunts those clusters, so it tells you where the market wants to go next

3. the order book shows if there is more size on the buy or the sell side, that is who is actually in control right now

4. CVD shows if the buying is real, price up but CVD down means the move is fake and about to fail, the read most people never see

5. i pull all three through the OpenMarket API and pack them into one clean snapshot on every candle

6. Jev scores that snapshot in < 100 ms, is a cluster about to get hunted, is the flow real or fading, buy sell or hold

7. Opus 5.5 sits on top, after fixed time it reads which order flow reads actually worked and rewrites the questions Jev asks, so it gets sharper and becomes powerful itself

8. a hard risk layer holds every limit and now the desk trades institutional order flow on its own, for ZERO dollars a month in data

the full build is in my article below:

[Roan @RohOnChain]

i built 200+ HFT trading strategies with GPT-6 Astra

TRY IT → https://t.co/2Dx2FRzVrC

made them live on a Monte Carlo simulation dashboard along with its CODEBASE in rust

complete guide to build 24/7 trading agent is in article below:

[OpenAI @OpenAI]

This is GPT-6 Astra.

Anything you can do on a computer, Astra can do for you. Fast.

[黄阿鬼 @justaaghosy]

@lightsilver323 https://t.co/4IPEqDe4tG

[ronix @ronixtec]

A guy created an AI job search system for Claude Code that scored 700+ job applications and actually got him a job.

AND IT'S NOW OPEN-SOURCE.

It scans multiple company career pages, rewrites your CV per job, and even fills application forms. The repo has:
> 14 skill modes (evaluate, scan, PDF, ...)
> Go terminal dashboard
> ATS-optimized PDF generation via Playwright
> 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...)

[Avid @Av1dlive]

Citadel pays $650,000 a year for quants. MIT wrote the exact bible to get there &amp; released it for free.

51 pages. Zero to quant. Probability, stats, market making, real interview questions from Jane Street, Citadel, Two Sigma &amp; more.

Bookmark and Give it to your agents

[Superior @andreysuperior]

Two horses. One has a 20% chance of winning, the other 80%. A bookie knows the real odds. The crowd doesn't. $10,000 lands on one horse, $50,000 on the other.

Inside an MIT classroom, a professor asks one question: how does the bookie guarantee he never loses?

He ignores what he knows. Sets the odds not by probability but by how the money fell. Five to one, matching the market.

First horse wins, he pays $60,000 and collected $60,000. Second horse wins, same thing. Zero exposure. Fee on top. Riskless profit.

That's not gambling. That's pricing.

The same math prices every option contract on Wall Street. Black-Scholes, replicating portfolios, hedging. It starts with one insight: you don't need to predict the future. You structure the trade so the future doesn't matter.

The professor builds it step by step. Take any derivative. Find a combination of stock and cash that replicates the pay-off exactly. Hold both sides. Risk cancels. You keep the spread.

He pulls up Bloomberg with IBM call options and shows it in real numbers. Prices a digital option using nothing but two calls at different strikes. No model needed. Just replication.

Traders do this thousands of times a day. Enter a contract, hedge it on the exchange, walk away with a fee. No opinion on direction. Just structure.

The entire derivatives market works this way. Not prediction. Replication.

The people who understood that distinction first built the biggest fortunes in finance.

[黄阿鬼 @justaaghosy]

@Di_Krass_ The law of large numbers works the same way with stocks. A good company’s edge gets masked by short-term variance, and a lot of people sell exactly when they should be adding. The hard part is telling noise from a real breakdown.