Every finance AI platform has access to roughly the same models, market data and internal documents.
But that isn’t where your firm’s edge lives.
It lives in how the team works: which sources it trusts, how a pod tests a thesis, what a PM considers material, how assumptions get challenged, and what actually makes it into an IC memo.
Terminal X learns that process and turns it into agents built around the desk
When GME hit $483 in January 2021, multiple hedge funds took catastrophic losses and a Reddit forum with 10 million members became a systemic risk conversation on Wall Street.
But the meme stock era never really ended. Retail now accounts for 20-40% of daily equity volume. Goldman built a tradable basket tracking WSB sentiment. JPMorgan sells retail flow dashboards to buy-side firms. Opendoor ran 312% in six days last July with more options volume than the original GME squeeze.
This piece traces the full arc from WSB's origins to today, covering market structure, institutional response, and how retail sentiment became a formal input in portfolio risk management.
Research #5: How WallStreetBets Reshaped Markets
We’ll pay you $5,000 if you refer someone we hire.
Terminal X is building the AI analyst for the world’s most sophisticated investors. We’re already working with leading hedge funds and asset managers across APAC, and now we’re growing the team.
We're looking for:
- A designer who can make AI in finance iconic
- The Jordan Belfort of sales
- A marketer who can make Wall Street stop scrolling
This isn’t for everyone. Small team. High ownership. No passengers. If that's your environment, you'll do the best work of your career here.
NYC. Link below. DMs open.
What models do best AI for Finance tools leverage? (hint: It's not just Claude)
We break down which Claude, GPT, Gemini, Grok models are applied to real investment workflows in our AI infrastructure, why multi-LLM orchestration / routing matters, and what institutional teams should consider beyond benchmarks.
Read more: https://t.co/Ks9bRsiC6q
the race is on to make quantum usable but the hidden investment story is what happens to everything quantum breaks on the way there.
TLDR:
- Google predicts quantum computers will break today's encryption by 2029 and China, Russia, and North Korea are already stealing data now to decrypt later
- The US government has mandated a full switch to quantum-safe encryption starting January 2027, creating a forced spending wave that could hit $30B by 2034
- Quantum hardware stocks are a valuation trap: Morgan Stanley flagged that sector valuation multiples had reached 400x projected forward sales, well beyond the dot-com peak range of 31–51x.
- The real trade is the companies helping everyone migrate: security platforms, semiconductor chipmakers, and defense infrastructure
Read the full breakdown in our Research #2 and follow for more: https://t.co/cLHjkatLor
$IONQ is up over 30% this week after National Quantum Day and a new DARPA win tied to next-gen quantum networking.
It also comes right after $NVDA unveiled open AI models for quantum calibration which is another sign the race is shifting toward making quantum actually usable.
When Anthropic launched Cowork, $285 billion in software market cap vanished in a day, reinforcing the narrative that AI will eat SaaS.
But the reality is more nuanced. Companies without data moats or defensibility are getting compressed, while durable platforms continue to perform and trade at historically low multiples.
This piece synthesizes three original Terminal X research reports covering 214 cited sources across equity, credit, and portfolio strategy to map the full picture.
Research #1: Saasvival
We're excited to introduce /research. A new series featuring market insight articles written by our analysts, powered by Deep Research and Custom Reports Agent.
First issue dropping soon...