Quantitative Research · Markets · Frontier Technologies

Joshua M. Peck

Working out what's happening in markets and frontier tech, before the consensus emerges.

PRINCIPLES
01

Praxis over theory.

02

All human flourishing is downstream of technology.

03

The arc of history bends toward exponential abundance.

04

It's complex systems, all the way down.

05

In markets, price is the only truth.

06

Progress is a compounding wave.

The Work

How do you apply quantitative methods to systems that can't be predicted?

Live

MacroContext Dashboard

A live regime detection platform for financial markets. Most models tell you where the market is going. This one tells you where it is now — Extremes, Neutral, or Danger — updated daily as conditions evolve.

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Weekly

Applied Complexity Newsletter

A weekly research publication on financial systems. The regime call every Monday — which behavioral state markets are currently in, which signals drove the classification, and what the research is showing about how to think about it.

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Published Work

Cryptocurrency Risk Management

Published 2022. A rigorous risk framework for institutional crypto exposure. Classical models weren't built for this asset class. Written for family offices and wealth managers who needed one that worked.

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As seen in

CBS Wall Street Journal Reuters MarketWatch Bloomberg
About

Quantitative researcher, ML architect, and author applying classical ML and complexity science to financial markets.

Currently building MacroContext — a live regime detection platform for financial markets — and publishing research through the AppliedComplexity Newsletter.

Previously: CIO at TrueCode Capital (systematic crypto fund), founder of Engage Traffic ($30M+ revenue). Author of Cryptocurrency Risk Management (Rethink Press).

Contributor to CBS, Reuters, and the Wall Street Journal. Colorado.

My Story →
02Latest Research

From the publication

The Exponential Investor

Quant research notes. Weekly.

A weekly research publication on quantitative methods and financial systems. The model's current regime classification, the signals behind it, and notes on the research.

No spam. Unsubscribe anytime. Not financial advice.