khalid

Trading Nasdaq

[khalid @Khalid_Sabban]

Forecasting like you are in the future 💨

[ICT's Daughter @SheTradesIct]

He Turned $5K into over $10 million trading from his bedroom
This is what he did differently

[khalid @Khalid_Sabban]

@acceptblies Beautiful

[Fortune MMXM @FortuneMMXM]

If and Then price Theory

[DeeRiz @deeriztm]

I've been paid out by prop firms multiple times now, and when traders ask what finally changed, my answer is always the same: I started treating my risk rules as non-negotiable. Here's exactly how I manage risk 🧵

[Shalini Goyal @goyalshaliniuk]

Andrej Karpathy dropped a 2-hour masterclass on everything that he knows

It covers:

- Agents
- ⁠Harnesses
- ⁠Loops
- ⁠Graphs

This is a must watch.

Bookmark this post

[sci @tradesbysci]

🎯

[Aaron | GrowthFlare @AaronxShepherd]

after sending 20,000,000+ cold emails

i’m LEAKING the 15 best performing front-end offers i’ve ever used:

(bookmark)

[Steve Burns @SJosephBurns]

https://t.co/cef0sPMPRY

[Trader Theory @tradertheory]

This is how trading reveals your sins.

[Сarm1ne @carm1nee]

these 10 GitHub repos are the most DANGEROUS thing in trading right now

together they give you a full AI hedge fund: a research desk, an investment committee and an execution desk

in this article I've shown EXACTLY how to build it from scratch https://t.co/17pf1e63VG

[JeRRy MMXM @JeRRyMMXM]

I spent 6 years struggling to understand Daily Bias.

Paid $4,000 for a course, hoping it would finally click.
It didn't.

Then I watched a 19-minute ICT video:

ESSENTIALS TO TRADING DAILY BIAS

And suddenly, the pieces started falling into place.

I wish I’d found this earlier.

[PyQuant News 🐍 @pyquantnews]

I've read 100s of trading books.

Some were ok. Most were terrible.

These 9 are pure gold:

[JeRRy MMXM @JeRRyMMXM]

🚨ICT JUST DROPPED THE BOMB 💣

THE ONLY PRICE ACTION ROUTINE YOU NEED IN 2026 🤯

DO THIS FOR 20 MINUTES A DAY!

“I promise you by doing this by everyday, you’re gonna learn more about price action than you’ll ever do” — ICT

22 MINUTES TO CHANGE YOUR TRADING FOREVER

STUDY!

[MRKT @MRKT_AI]

https://t.co/b87KTZlrvM

[Ruuj @RuOnChain1]

a quant built 17 trading strategies in Python and just put them all on a repo for free

momentum, breakout, stat arb, options, Monte Carlo, it's all there

[Veles @velesxbt]

GPT-6 Astra writes a new quant trading strategy every hour, 24/7. 997 out of 1,000 get KILLED before they see a dollar.

This is the manual for the 3 that survive. The system's called Argus, and every rule in it exists because an earlier version broke it first.

1. Operations owns the data and nothing else. Every number it reads about the past is POINT-IN-TIME - the print you'd have actually seen that day, never a later revision. Most bots cheat here without knowing it.

2. Researchers run as a swarm overnight, each assigned one class of mispricing - mean reversion, cross-sectional factors, the vol surface, event drift. REAL code, not takes.

3. The Validator is the whole game. It NEVER sees the reasoning, only the sealed strategy run against data it hasn't touched. Sharpe above 1.5. Drawdown under 15%. Hit rate above 55%. t-stat above 2.0. Then the two checks almost nobody runs - Deflated Sharpe and Probability of Backtest Overfitting. Most strategies die right here.

4. The PM sizes anything left at HALF-Kelly, under a volatility target, with a hard cap on correlation between positions. Full Kelly is how you go broke while being right.

5. Risk has ZERO negotiation. A 4% daily loss flattens the entire book. No override.

6. Execution works orders slowly instead of paying the spread. Paper only, until it's EARNED real money.

One rule sits under all six: no agent grades its own work, and no kill switch waits on a bot's opinion of itself.

Building the model was never the hard part. Building six different ways to say no to it was.

Full paper's below.

[Quant Science @quantscience_]

The math behind the Quant Scientist Stack:

• SciPy: $0
• Zipline: $0
• Python: $0
• NumPy: $0
• PyFolio: $0
• pandas : $0
• OpenBB: $0
• Empyrical: $0
• AlphaLens: $0
• Statsmodels: $0
• RiskFolio-Lib: $0

Want to learn how?

Register here: https://t.co/WvcdcrmQCS

[Quant Science @quantscience_]

This paper unlocks every algorithm used by hedge funds.

151 trading strategies.

Get it here (361 page PDF):

[Quant Science @quantscience_]

🚨 Someone built an AI that reads candlestick charts the way GPT reads English.

Trained on 12 billion records from 45 exchanges.

Outperforms every model by 93%. Live BTC demo. Free.

[Daniel Ch @chddaniel]

I still read this twice a week.

Title sounds like clickbait, but it's legitimately one of the best things you will ever read.