
Length10h 31m
About this audiobook
The System That Man Built is the true story of how Paul E. Strong, a solo founder in Phoenix, built SST Alpha Engine — a fully autonomous AI trading system from scratch. Tired of losing to his own emotions and late guru alerts, he replaced the weakest link in trading, the human brain, with a machine that feels no fear, greed, or fatigue.
The book follows the real journey: six AI agents running like a trading desk, and a self-evolving "Genome" of 91 signal weights that learns from every trade. It is brutally honest about Alpha testing: a 33% live win rate, twelve bugs fixed in one night, and a power outage where the system protected a live position on its own.
Not a get-rich-quick pitch, not a trading manual: it documents failures as openly as wins, because transparency is the point. If you've ever taken a trade you knew you shouldn't have, this book explains why — and what a system built to remove the human can do instead.
Audiobook details
GenreTechnology, Psychology
Length10 hrs 31 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateAug 12, 2026
LanguageEnglish
Table of contents
1Introduction
2Introduction: The 4 AM Trader
3What This Book Is
4(Untitled)
5What This Book Is Not
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6Who This Book Is For
7How This Book Is Organized
8The Promise
9Chapter 1: Why 90% of Traders Lose Money
10The Number That Should Terrify You
11The Five Ways Your Brain Will Betray You
12The Cruel Math of Losing
13(Untitled)
14The Zero-Commission Trap
15The GameStop Moment
16The Tools Changed. The Game Did Not.
17Why Discipline Is Not Enough
18The Guru Problem
19The Question That Changed Everything
20The Trader's Dilemma, Solved
21(Untitled)
22What This Book Is and What It Is Not
23Chapter 2: The Modern Stock Market
24How Stocks Actually Trade
25The Players: An Unequal Playing Field
26(Untitled)
27The Small-Cap Battleground
28The Volume Imperative
29VWAP: The Institutional Anchor
30(Untitled)
31The Options Explosion
32(Untitled)
33The Rules of the Game
34(Untitled)
35The Competitive Landscape
36The Psychology Problem, Revisited
37(Untitled)
38Chapter 3: The Guru Trap — Why Alert Services Fail and Machines Do Not
39The Latency Gap
40The Context Gap
41(Untitled)
42The Emotional Gap
43The Confirmation Bias Filter
44The Guru Becomes a Signal Weight
45The Genome: SST's Core Innovation
46The 91-Signal Confluence
47The Learning Pipeline
48(Untitled)
49What the Genome Has Learned
50Multi-Agent vs. Monolithic: Why Six Is Better Than One