The Alchemy of Finance — Soros: COMPLETE

Everything begins with a boy in Budapest. In 1944, when the Nazis occupied Hungary and fourteen-year-old György Schwartz and his Jewish family hid with forged papers, Soros learned what became his first financial principle: survival is the precondition for everything else. His father Tivadar organized escape routes and showed that whoever keeps his judgment when the system collapses holds an edge that no school can teach.

In 1947 Soros left Hungary for London — poor, a laborer, a railway platform — but with a question that would not let go: how do we know anything at all?

He found the answer at the London School of Economics, with the philosopher Karl Popper. Popper's fallibilism holds that all human knowledge is provisional: we can never prove that a theory is true, only show that it is wrong when it fails a test — and precisely for that reason hypotheses should be formulated so that they can be falsified.

Soros read The Open Society and Its Enemies and sought out Popper; the inheritance followed him to the trading terminal. A position, Soros realized, is not an opinion but a hypothesis. A loss is not a disgrace but a data point: the hypothesis failed its test.

Here lies the course's sensitive core: Soros consistently describes himself as a fallibilist — »I am always uncertain« is his recurring formulation. Uncertainty is for him not a weakness to hide but information to trade on. While other market participants seek safety in models and systems, Soros seeks the error — his own and the market's.

The Alchemy of Finance gathers almost two decades of such thinking, from the Quantum fund's start in 1969 to the book's publication in 1987, and divides into two parts: the theory of reflexivity and a real-time experiment in the form of a trading diary from 1985–86 with exposure figures on the table.

Why, then, the »alchemy« of the title? Soros jokes in earnest: finance is not a natural science. To believe that the market can be predicted like a chemical reaction is like the alchemist's belief that lead can become gold. But there is a systematic pattern anyway — the feedback between participants' thinking and the market's reality — and that pattern can be crafted.

This is alchemy's honest version: not breaking the laws of natural science, but understanding that the »laboratory« of the social sciences consists of participants who affect the experiment while it is running. That insight is the book's entire foundation.

First the opponent, presented as strongly as it deserves. Equilibrium theory — the backbone of economics since Walras — sees prices as a set of scales: supply and demand sweep the system toward a resting point where everything offered is bought, and deviations from that point are temporary noise. EMH, formulated by Eugene Fama in the late 1960s, takes the step further: the price already contains all available information, therefore price changes are essentially random and no one can systematically beat the market.

The support is empirical enough: most active managers underperform the index, year after year. In that worldview a bubble is a rare exception requiring an external shock or mass hysteria — not something the system produces by itself.

Then Soros flipped the entire table, in one of the most brazen sentences in the history of finance: »The prevailing wisdom is that markets are always right. I take the opposite position: I assume that markets are always wrong.« His reasons are not that the players are stupid but that they are participants. The market does not passively mirror the fundamentals — the aggregated, always biased perceptions influence decisions that change the fundamentals.

A rising stock price lowers a company's cost of capital, makes share issues profitable, turns the confidence of customers and banks; the changed fundamentals then »confirm« the perception. Markets can, Soros writes, validate themselves. Price changes are therefore not a random walk around the truth but an oscillating movement — and bubbles and crashes are not deviations from the system but products of its mechanics.

Where does AK1TS stand? On Soros's side, with an addition that is the ecosystem's own. If the market is a feedback loop, the question is not »is the price right?« but »is the feedback active, and in which direction is it blowing?« Wave measurement is, according to AK1TS, precisely this feedback observation — performed deterministically: the same input shall give the same measurement, over and over.

Dot-bubbles are therefore not irrelevant side phenomena to filter away; they are the very object of measurement. That is controversial only if you confuse two questions: predicting the future (neither Soros nor AK1TS does that) and observing the mechanics (both do).

The honest nuance, to which the course returns: EMH is not idiocy. Its core — that free information is rarely found in the price and that most who try to beat the market lose — is well documented, and Soros has made his living from others underestimating it. The difference concerns the mechanics of price: EMH sees the price as a reader, Soros sees it as a force.

Equilibrium exists in the book's world — but as a limiting case, a state the system passes through rather than rests in. The controversy is thus not faith versus reason, but two models choosing different phenomena to take seriously: EMH takes the average day seriously, Soros takes the days that decide careers seriously.