The Mechanics of Complexity: Why Markets Evolve the Way They Do
A six-part series on the forces behind Complex Adaptive Systems, and what they mean for how you trade.
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SERIES OVERVIEW
This Dispatch walks through A Journey Through Systems, Boundaries, and Entropy: a 6-part series published on ATS Trading Solutions across 2024 and 2025. Watch the video for the guided overview. Follow the links below to read the original series.
Episode One of Dispatches made the case that markets are Complex Adaptive Systems. Dynamic, evolving structures driven by processes and feedback loops, not the random walk most financial theory assumes.
But Episode One left a question open. If systems evolve through processes, what drives those processes? What forces create the complexity we observe? Why do markets trend, cycle, and occasionally collapse in the ways they do?
A Journey Through Systems, Boundaries, and Entropy answers this directly. Six parts, one sustained argument. The mechanics of market behaviour follow from first principles that apply to every complex system in the universe.
“Entropy is not the enemy of markets. It is their engine. Every trend, every cycle, every collapse is entropy at work, propelling systems forward into new forms.”
Dispatches from The Outpost, Episode 002
What This Series Covers
Each part builds directly on the last. This overview is designed to show you the architecture of the argument, and point you toward the series itself.
Part 1 | The Mechanics of Complexity
The first series showed how systems evolve through ongoing processes. Part One asks what creates the framework in which those processes unfold.
The answer is two forces: boundaries and symmetry breaking. A boundary is not a passive divider. In complex systems, it is active: it shapes what interactions are possible, regulates what crosses it, and defines how the system can evolve. A cell membrane does not merely separate inside from outside. It makes the cell possible. Financial market boundaries, regulatory frameworks, risk limits, market conventions, work in the same way.
Symmetry breaking is the process by which uniformity gives way to differentiation. Gas to liquid to solid: each phase transition breaks the prior symmetry and creates new structure. Blockchain broke the symmetry of centralised finance. New boundaries formed, and a different kind of financial system organised around them. The same force that turns gas into ice reorganises markets.
Part 2 | Unveiling the Power of Process
Part Two deepens the shift from things to processes and confronts an assumption most people carry without examining: the idea of autonomy.
Individual traders feel independent. But remove the systems that support them, the regulated exchanges, the financial infrastructure, the economic conditions that make capital available, and that independence dissolves. Markets are nested. Traders are embedded in firms, firms in industries, industries in economies. Nothing happens in isolation.
Stop asking what the market is. Start asking what it is doing, and what it is doing it within.
Part Three takes on reductionism. Breaking a market into its components to study them destroys the relationships that constitute the market. The behaviour of complex systems lives in the connections, not the parts.
The alternative is feedback loops. A positive feedback loop amplifies change: rising prices attract buyers whose buying drives prices higher. This is not a market inefficiency. It is a structural property of complex adaptive systems, the mechanism through which trends form. A negative feedback loop stabilises: predator populations rise when prey is abundant, then fall as prey becomes scarce. Markets have both.
Positive feedback produces trends. Negative feedback produces corrections. Both are structural. Neither is going away.
Part 4 | From Boundaries to Iterative Rules
Part Four introduces Rule 30: a cellular automaton that generates patterns of extraordinary apparent complexity from one starting cell and one simple rule. Every cell is fully determined. There is no randomness anywhere in the system.
The implication for markets is direct. Markets are computationally irreducible. You cannot shortcut to the outcome. To know what the system will do next, you must follow every step. This is why specific price forecasting is not merely difficult. It is structurally impossible beyond short horizons. Not because markets are random. Because they are complex.
Process beats prediction. Not as a preference. As a structural fact about computationally irreducible systems.
Part 5 | Entropy and the Driving Force
Part Five answers the question all the previous parts were building toward: what actually powers system evolution?
The Second Law of Thermodynamics: in any closed system, entropy can only increase. But markets are open systems. They temporarily resist entropy by importing low-entropy energy from their environment: investor conviction, expanding conditions, technological novelty. The resistance creates local order. And eventually, it ends.
Entropy, Part Five argues, is not a force of decay. It is the engine. Growth, adaptation, and decline are not separate phenomena. They are phases of the same entropic cycle, driven by the same underlying force.
A sector emerges, grows, stabilises, then declines. Not because something went wrong. Because that is how every open system in the universe works, without exception.
Part 6 | Finale: A Universe of Systems Within Systems
The finale pulls the series into a single lens. Markets, ecosystems, galaxies, all governed by the same mechanics. What appears as randomness is always complexity we have not yet resolved. Beneath the surface, there is always structure.
The universe is not finished. It is always becoming. Markets follow the same logic. To align your process with this reality is not a philosophical preference. It is the only structurally sound response.
Six Things to Take Away
1. | Complexity is not random. It emerges from deterministic rules applied iteratively over time. The structure is real and exploitable. |
2. | Boundaries are active shapers. Every boundary in a system defines how that system can evolve. Understanding the boundaries is understanding the system. |
3. | Feedback loops drive adaptation. Positive loops produce trends. Negative loops produce corrections. Both are structurally embedded in markets. |
4. | Entropy powers all systems forward. Growth and decline are two phases of the same cycle. Every trend ends. Every decline creates the conditions for the next emergence. |
5. | Markets are computationally irreducible. Process, not prediction, is the only durable edge. You cannot shortcut a complex system. |
6. | Trend following aligns with the mechanics of CAS. It is not a bet on price going up or down. It is a bet on the feedback structure of markets persisting, and on entropy doing its work. |
Read the Full Series
Each part builds directly on the last. Read in order for the full argument.
Part 1 The Mechanics of Complexity | Boundaries, symmetry breaking, and the framework for all system evolution
Part 2 Unveiling the Power of Process | From things to processes, and why the distinction changes everything
Part 3 Breaking Boundaries | Feedback loops, nested systems, and the limits of reductionism
Part 4 From Boundaries to Iterative Rules | Cellular automata, the Logistic Map, and deterministic complexity
Part 5 Entropy and the Driving Force | Time-asymmetry, negentropy, and the lifecycle of every system that exists
Part 6 Finale: A Universe of Systems Within Systems | The unified lens: everything connected, nothing random
ABOUT DISPATCHES FROM THE OUTPOST Dispatches from The Outpost is the video series from ATS Trading Solutions where Rich Brennan walks through our published research, deep dives on specific topics, and challenges the conventional wisdom that holds most traders back. Each Dispatch is accompanied by a full written summary, key takeaways, and links to the original research. Watch the video, read the series, go as deep as you want. → Subscribe on YouTube │ → Browse all Dispatches │ → atstradingsolutions.com |
Want the theoretical foundation for why markets adapt?
Complex Adaptive Markets: How Living Systems Shape Finance
The book explores the full architecture of feedback, emergence, and adaptive behaviour in financial markets, and what it means for how we trade, invest, and understand risk.
Available now on Amazon in paperback, hardcover, and Kindle.
Want the theoretical foundation for why trend following works?
The Fractals of Finance: Determinism, Adaptation and the Geometry of Markets
The book explores the full architecture of feedback, fat tails, and fractal structure in financial markets, and what it means for how we trade, invest, and understand risk.
Available now on Amazon in paperback, hardcover, and Kindle.
Want a practical field manual for trading trends and capturing outliers?
The Aussie Turtles Trend Following Guide: A Field Manual for Hunting Outliers adapts the timeless principles of the original Turtle traders into a systematic, rules-based approach for modern markets. Co-authored with Adam Havryliv.
Available now on Amazon in paperback, hardcover, and Kindle.