🚨Bitget just got looted like an unlocked ATM.🚨
A small glitch in the $VOXEL/USDT pair…
And boom, one trader flips $100 into $3M.
Another cashes out $42M.
Total chaos. $12.7B in volume. More than Bitcoin.
By the time Bitget noticed, over $100M was gone.
All this on a low-liquidity token.
And they call it a “secure exchange”?
Makes you think twice before trusting these CEXs.
#VOXEL #CEX
There's a $10.8bln AuM hedge fund...it's called 7709 Capital. It's realized vol is 183% (roughly an 11% daily move). It has conviction, owning just one stock.
With some frequency, it moves up or down 20% in a day. It doesn't hedge. In fact, its trading strategy requires it buy more and more of its one holding as that holding rises.
There was trading in the fund's shares today of $1bln notional. The fund is reporting gains of 750% YTD.
Jane Street made $39.6 billion last year with just 3,500 people. That's $11.3M per employee - 7x Goldman.
They didn't do it with more humans. They spent $6 billion on AI and 4,032 GPUs in a Texas data center to make each quant 10x faster.
There's now a tool that lets anyone test same tradings strategys in 90 seconds - no coding, no finance degree, just plain English -> https://t.co/pDDYFGfVga
Here's what's happening inside the top firms:
Man Group ($150B) built an AI on Claude that writes and tests strategies on its own - hundreds a week. A human team tests 20 in a quarter.
Bridgewater runs a $2B AI fund making "alpha uncorrelated to what our humans do"
The edge was never the idea. It was speed. They test 100 strategies for every 1 you test by hand.
Horizon hands that exact speed to regular people. Plain English in. Tested system out.
Save this. Re-read it when the waitlist is closed.
Monte Carlo simulations, Fourier transforms and elegant volatility surfaces look beautiful in textbooks
But in the real world, quant strategies live and die inside the raw mechanics of the order book
When SEBI deconstructed Jane Street’s $5B options trade, they didn't just look at pricing models-they mapped a 7.3x leverage footprint directly onto expiry-day liquidity
Here is the framework that bridges mathematical theory with adversarial reverse engineering
I built a system that tests 1,000 strategies a week and rejects 997 of them automatically
The 3 that survive aren't lucky. They passed 3 hard gates with no human override
Gate 1 - the critic agent assumes every strategy is broken until proven otherwise
Looks for look-ahead bias, survivorship, overfitting, hidden optimization, unrealistic costs
Fails the structure check? Rejected. No appeal
Gate 2 - deflated Sharpe ratio
Tested 10,000 strategies with zero real edge. Best in-sample Sharpe hit 3.5 purely by luck
The deflated Sharpe corrects for that. DSR below 0.95? Rejected
Gate 3 - correlation to existing book
A new strategy correlated above 0.7 with something already running isn't diversification. It's concentration in disguise. Rejected
The AI didn't produce great strategies
It produced candidates. Failed most of them. The system caught the failures
In iteration 1 - IS Sharpe 2.1, OOS Sharpe 1.8. Looked incredible
Critic flagged look-ahead bias. Rejected
Fixed it. Real OOS Sharpe: 0.5
The look-ahead was the entire alpha
If your system can survive randomness, it can survive anything
The implementation is in the article
Bookmark this
The literal White House is telling you to prioritize these 5 sectors amongst your portfolio…
1. Space ~ $RKLB, $ASTS, $RDW, $PL
2. Neo-Cloud ~ $IREN, $NBIS, $APLD, $CIFR
3. Rare Earths ~ $USAR, $UUUU, $MP
4. Energy/Nuclear ~ $TE, $EOSE, $OKLO, $OSS
5. Drones/Robotics ~ $ONDS, $TSLA, $NOK, $AVAV
These names are going to be the next list of setups that’ll create generational wealth for many.
Don’t miss these opportunities…
There's a curve in finance that most investors get wrong.
It's called the efficient frontier.
Markowitz defined it in 1952.
Most investors still don't understand what it means in practice.
Here's what they get wrong:
This is the kind of market where you simply buy what the president tells you to:
Chips
$INTC Intel
$NVDA NVIDIA
$AMD AMD
$TSM TSMC
AI Infrastructure
$DELL Dell
$VRT Vertiv
$NBIS Nebius
$CRWV Coreweave
$IREN IREN
$HUT Hut 8
Rare Earths
$USAR USA Rare Earth
$CRML Critical Metals
$TMC The Metals Company
Critical Minerals
$TMQ Trilogy Metals
$UAMY United States Antimony
$MP MP Materials
$LAC Lithium Americas
Quantum
$IONQ IonQ
$QBTS D-Wave Quantum
$RGTI Rigetti
Energy
$BE Bloom Energy
$GEV GE Vernova
$FCEL Fuelcell
$PLUG PlugPower
$VICR Vicor
Memory
$SNDK Sandisk
$MU Micron
$STX Seagate
$WDC Western Digital
$P Everpure
$MRAM Everspin
Space
$RKLB Rocket Lab
$ASTS AST SpaceMobile
$PL Planet Labs
$FLY Firefly Aerospace
$GILT Gilat
Drones
$AVEX Aevex
$ONDS Ondas
$UMAC Unusual Machines
Nuclear
$XE X-energy
$LEU Centrus Energy
$CCJ Cameco
$OKLO Oklo
$UUUU Energy Fuels
AVs & Robotics
$TSLA Tesla
$AMZN Amazon
Batteries
$TE T1 Energy
$ELVA Electrovaya
$FLNC Fluence Energy
Never miss the leading stocks again:
https://t.co/8sdF5htwKA
i put my entire $480K/year cold email business into ONE google doc
200+ pages across 10 guides
- the complete cold email blueprint
- the offer formula that books calls
- untapped lead sources (not apollo)
- the scripts vault (every script ive ever used)
- 2026 spam filter survival guide
- ecom client acquisition playbook
- b2b agency client acquisition playbook
- the 2-line email that booked 103 calls in 12 days
this is the doc i wouldve KILLED for before scaling to over $45k/mo
like + comment "VAULT" and ill send it over
(must follow + RT for priority access)
🚨 BREAKING: You can now run a Bloomberg Terminal for FREE.
The closest open-source alternative that exists.
No $24,000 subscription. No API costs. 100% local on your machine.
Bookmark this. Install it right now. Takes ten minutes.
🚨BREAKING: Someone open-sourced a plug-and-play skill pack that gives any AI agent the full capabilities of a professional financial analyst.
It's called Awesome Finance Skills, and it installs in under 30 seconds.
Here's what your agent can do the moment you install it:
→ Pull real-time financial news from 10+ sources including WSJ, Cailian, Weibo, and Polymarket
→ Fetch live A-share and Hong Kong stock data with full OHLCV history
→ Run FinBERT sentiment analysis on any news story and return a score from -1.0 to +1.0
→ Forecast price movements using the Kronos time-series model with live news adjustments
→ Track how investment signals strengthen, weaken, or get falsified over time
→ Auto-generate market transmission chain diagrams that explain exactly how one event ripples into another
→ Write a full professional research report from scratch — plan, write, edit, and chart in one command
→ Search the web and run local RAG across your own documents
It works with Claude Code, OpenClaw, OpenCode, Codex, and Gemini CLI right out of the box.
The same analysis that hedge funds pay six figures for in Bloomberg terminals is now a free git clone away.
100% Open Source. MIT License.
I follow a strict 15 trade execution rule under Chapter 6.1 that you may find useful to implement. It may helps in the area of improving average RRR, while avoiding death by a thousand whipsaw stop outs for longivity of equity curve growth.
https://t.co/OxoxgHQz0d
Learn how to read OrderFlow. You can thank me later 👀
I put together a detailed introduction that covers everything you need to understand my posts.
There will be a Part 2, where we will go even deeper with real setups, and execution. Stay tuned! $BTC
https://t.co/hfNaTMWUJI