I've never recorded a video announcement before. But after 15 years of working in AI and 1.5 years heads down building @CambrianNetwork, I wanted to share this news myself. I'm proud to announce the public launch of the Cambrian API, which you can try free on cambrian.org In 2024, while building an AI copilot for trading, I became convinced that the future of finance would be increasingly operated by agents. I also realized that existing data solutions were far from meeting the needs of a burgeoning industry called agentic finance. So I assembled a team of data, infrastructure, and finance veterans, earned support from @a16zcrypto @Polychain @FTDA_US and many other amazing investors, and embarked on a mission to build the world's financial intelligence layer. Today, the Cambrian API is out of beta. It's the best source of onchain and offchain signal for AI agents and institutions to make winning financial decisions, such as: - Smarter trading strategies - Automated yield-maximization - Social sentiment-based trades - Risk analyses & much more Start using it for free and scale as your needs grow.

Institutions that have brought assets onchain since my tweet claiming "every asset will be a crypto asset": Depository Trust & Clearing Corporation State Street Investment Management Caisse des Dépôts et Consignations London Stock Exchange Group Broadridge Financial Solutions Banque Cantonale Vaudoise European Investment Bank Intercontinental Exchange New York Stock Exchange Bank of New York Mellon Dubai Land Department S&P Dow Jones Indices European Central Bank Deutsche Bundesbank Zürcher Kantonalbank First Abu Dhabi Bank Temple Digital Group Prometheum Capital Fidelity International Qatar National Bank Fidelity Investments Standard Chartered Franklin Templeton Raiffeisen Schweiz Forward Industries Citadel Securities StepStone Group Société Générale Swiss Stablecoin Cross River Bank Intesa Sanpaolo Deutsche Börse Goldman Sachs Computershare Velocity Capital FirstRand Bank Deutsche Bank Hamilton Lane Virtu Financial Ondo Finance Itaú Unibanco Sygnum Bank MembersCap Flow Traders BNP Paribas WisdomTree PostFinance MUFG Bank Lloyds Bank Clearstream DriveWealth Apex Group Memo Bank Wells Fargo NRW BANK Nodal Clear CME Group Mastercard J.P. Morgan Matrixdock EJF Capital Robinhood Superstate Lead Bank BlackRock SBI Group Santander DekaBank DBS Bank Cecabank Tradeweb BayernLB Securitize Vanguard ABANCA Mashreq DZ Bank Obligate FalconX Binance Keyrock Allfunds Nasdaq Invesco Kraken TWINT Archax Galaxy Alpaca Brink’s OCBC Ripple HSBC Marex BBVA Circle BitGo DRW Talos Swift UOB SoFi UBS ANZ Visa SIX Citi Believe in something.

"How will anyone make profits when everyone uses AI to trade?" It’s a good question. I did some research earlier this year showing that, given the same basic data and the same basic question, all models will recommend the same trade In the next few years, many traders will fall into traps like this: the CFO of your favorite company will write their quarterly earnings report and tune their writing to subtly exploit the psychological biases of the latest models. Your financial copilot will read the report and be nudged by the writing. Hedge funds will predict the nudge and move before you and thousands of others. Retail will then flock into or out of the same trade. That activity will then trigger momentum-based strategies, amplifying the effect. Prices will no longer reflect the company's value. You'll probably be fine if you're investing long term. If you're trading, you may get wrecked. There is no easy solution. For sure, you'll want: * to be as informed as possible and ask the best questions aligned with your investment goals * to have access to as much information on the asset, market, and economy as possible * to be using the best model you can (or the fastest if your strategy is sensitive to time) In the next few weeks, I'll dive into these details as I cover a fantastic paper, "The Algorithmic Market Hypothesis: Information Efficiency in the Age of AI".