Proprietary Market Data
- High-resolution, multi-venue data — captured since 2017
- Continuous model-training pipelines
- Multi-cycle backtesting
QuantAlpha AI applies machine learning and systematic research to global markets — forged in crypto, extending everywhere.
Markets no longer close. Data never slows. Technicals override fundamentals. We were built for exactly that.
Quantitative, systematic alpha — live, third-party verified, and delivered as investable product through regulated partners.
Explore →AI infrastructure for financial markets — data, prediction, execution, and risk in one platform, powered by our Negative Latency Engine.
Explore →We process everything that moves markets, in real time — you get the signal. Actionable.
Explore →Develop, test, deploy — institutional-grade systematic strategies. Always-on markets demand always-on systems.
Extending across crypto (exchange & on-chain), tokenized equities, traditional equities, and commodities.
Each strategy engineered to capture a distinct source of alpha.
The first expression of our Negative Latency Engine — regime detection, dynamic exposure — running live and third-party verified below. Spot is v1; the engine generalizes.
For institutional, accredited, or otherwise qualified counterparties, through regulated partners. Not an offer, solicitation, or investment advice. Past performance is not indicative of future results.
Falcon / ETH — independently tracked on the Santiment Strategy Network.
Live third-party verified performance — Santiment Strategy Network · Past performance is not indicative of future results.
A thousand sources, endless noise. We distill it to what actually moves markets — the same intelligence that feeds our strategy models.
The overnight session, macro prints, and market-moving stories — synthesized by our research pipeline into a morning brief and episode, every trading day.
By invitationCrypto market structure, flows, and narratives — a daily read on the most sentiment-driven, always-on market on earth.
By invitationAny asset, on request — fundamentals, technicals, and market context in one document.
In developmentOur versioned, defensible view of where markets are going — theme modules, price targets, and a changelog of every revision. The desk view, published.
In developmentPublic feeds are launching soon — for early access, write to contact@quantalpha.ai.
Built at the intersection of Wall Street precision, Silicon Valley machine learning, and blockchain protocol engineering — deep expertise across quantitative systems, AI/ML, and institutional infrastructure.
13+ years FX/rates at Goldman Sachs, Deutsche Bank, UBS, CSFB. Co-founder & CEO of CoinAlpha, creators of Hummingbot — $31.5B+ in traded volume. In crypto since 2017.
BAS Computer Science, UPenn · BS Finance, Wharton (magna cum laude)
in/carlolm
Crypto and venture investor. Partner, IronCore Partners; GP, Cambrian Labs; director, Laevitas; LP, Hack VC and other leading crypto and venture funds. 15 years at PwC (Executive Director, Corporate Finance).
MSc Economics, Oxford · BA Economics, Cambridge
in/markpui
Co-founder of Hummingbot; board member, Hummingbot DAO. Ex-JPMorgan / Citigroup trader; fintech entrepreneur.
MS Management Science, Stanford · BS, Wharton
in/fengtality
Alongside private backing from senior operators and investors across global finance and technology — from Wall Street trading desks to Big Tech and crypto-native protocols.