Technology

Psychology

The System That Man Built

By Paul E. Strong

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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.

Artificial Intelligence Psychological Futuristic Robot Fiction

Audiobook details

GenreTechnology, Psychology

Length10 hrs 31 mins

Narrated byListen with 1,000+ voices

FormateBook with Audio

Publish dateAug 12, 2026

LanguageEnglish

1Introduction

145Fix 6: Pending Order Timeout (Severity: Moderate)

2Introduction: The 4 AM Trader

146Fix 7: Atomic Persistence Under Lock (Severity: Moderate)

3What This Book Is

147Fix 8: NLV Staleness Tracking (Severity: Moderate)

4(Untitled)

148Fix 9: Division-by-Zero Guard on Entry Price (Severity: Moderate)

5What This Book Is Not

149Fix 10: Catalyst Penalty Logic (Severity: Minor)

Show all chapters

6Who This Book Is For

150Fix 11: Genome Key Backfill (Severity: Minor)

7How This Book Is Organized

151Fix 12: The EOD Re-Entry Loop (Severity: Critical)

8The Promise

152Beyond the Bugs: The Genome Retuning

9Chapter 1: Why 90% of Traders Lose Money

153(Untitled)

10The Number That Should Terrify You

154The Learning Multiplier Adjustment

11The Five Ways Your Brain Will Betray You

155The Genome Reset

12The Cruel Math of Losing

156(Untitled)

13(Untitled)

157The Memory Cleanup

14The Zero-Commission Trap

158The Session Windows Refinement

15The GameStop Moment

159The Eight Strategic Suggestions

16The Tools Changed. The Game Did Not.

160The Health Monitor Agent

17Why Discipline Is Not Enough

161Dawn

18The Guru Problem

162Chapter 10: The BW Trade — When Everything Went Wrong

19The Question That Changed Everything

163The Entry

20The Trader's Dilemma, Solved

164The Outage

21(Untitled)

165What BW Did While the Lights Were Off

22What This Book Is and What It Is Not

166The Restart

23Chapter 2: The Modern Stock Market

167The Exit

24How Stocks Actually Trade

168(Untitled)

25The Players: An Unequal Playing Field

169What the BW Trade Proved

26(Untitled)

170The Volatile Week

27The Small-Cap Battleground

171Building for Failure

28The Volume Imperative

172The Lesson for Builders

29VWAP: The Institutional Anchor

173The Emotional Aftermath

30(Untitled)

174The BW Trade in Context

31The Options Explosion

175Chapter 11: From Side Project to SaaS

32(Untitled)

176The Rebrand

33The Rules of the Game

177The Pricing Decision

34(Untitled)

178The Newsletter Flywheel

35The Competitive Landscape

179(Untitled)

36The Psychology Problem, Revisited

180The Monetization Timeline

37(Untitled)

181(Untitled)

38Chapter 3: The Guru Trap — Why Alert Services Fail and Machines Do Not

182The Members-Only Website

39The Latency Gap

183The Competitive Positioning

40The Context Gap

184The Brand Voice

41(Untitled)

185(Untitled)

42The Emotional Gap

186The Revenue Model

43The Confirmation Bias Filter

187The Deployment

44The Guru Becomes a Signal Weight

188(Untitled)

45The Genome: SST's Core Innovation

189The Open-Source Decision

46The 91-Signal Confluence

190The Social Media Foundation

47The Learning Pipeline

191What the Business Looked Like on Day One

48(Untitled)

192Chapter 12: Marketing, Deployment, and Growth

49What the Genome Has Learned

193Two Architectures, One Product

50Multi-Agent vs. Monolithic: Why Six Is Better Than One

194(Untitled)

51Transparency as Differentiator

195The Landing Page

52The Phantom vs. Live Discovery

196The SendGrid Nightmare

53Why AI Beats the Guru

197(Untitled)

54(Untitled)

198Automating the Newsletter

55Chapter 4: The Architecture — Six Agents, One Mission

199The Brand Voice

56PART II: THE MACHINE

200The Open-Source Security Audit

57The Trading Desk Analogy

201The Social Media Launch

58(Untitled)

202The Members-Only Website

59Agent 1: Scout — The Eyes on the Market

203The Admin Email Editor

60Agent 2: Analyst — The Numbers Behind the Names

204The Growth Strategy

61Agent 3: Brains — The Genome Engine

205The Solo Founder Reality

62Agent 4: Coordinator — The Central Nervous System

206Key Takeaways

63Agent 5: Health Monitor — The Three-Layer Watchdog

207(Untitled)

64Agent 6: Auto-Trader — The Execution Engine

208Chapter 13: The Trading Terminal - SST's Next Evolution

65Thread Safety: The Invisible Architecture

209Why a Terminal?

66The Flask Orchestrator: Binding It All Together

210(Untitled)

67The Agent Watchdog: Watching the Watchers

211Phase 1: Live Charts

68The Chat System: Talking to the Machine

212Phase 2: Trade Ticket

69Why Multi-Agent? The Case Against Monolithic Design

213Phase 3: Active Position Cards

70The Cardinal Rule, Revisited

214(Untitled)

71(Untitled)

215Phase 4: Auto-Trade Monitor

72Chapter 5: The Genome — An AI That Evolves with Every Trade

216Phase 5: Chart-Trade Integration

73What Is a Genome?

217(Untitled)

74(Untitled)

218The Server-Based Advantage

75The Structure of genome.json

219Tab-Juggling: The Problem the Terminal Solves

76Where the Weights Come From: The Research Foundation

220The Competitive Landscape

77How the Genome Evolves

221(Untitled)

78The Asymmetry Principle

222The Alpha-to-Omega Bridge

79The 91 Signals: A Taxonomy

223What the Terminal Means for the User

80Confluence Scoring: Where Signals Become Decisions

224(Untitled)

81The Quality Gate

225The Road Ahead

82(Untitled)

226Key Takeaways

83Position Sizing: How Much to Risk

227Chapter 14: Lessons from the Genome

84The Learning Pipeline: How Trades Reach the Genome

228The Weights That Matter Most

85The Phantom Win Rate

229(Untitled)

86(Untitled)

230The MACD Revelation

87The Genome Audit: Twelve Critical Fixes

231The Insider Signal

88What the Genome Has Learned

232The SuperNova Finding

89The Broken Confluence Threshold

233The Intelligence Signals

90Turbo Mode: Evolution After Hours

234What the Genome Has Not Yet Learned

91Shadow Trading: Learning Without Risk

235The Path to Higher Confidence

92The Genome as a Living Document

236(Untitled)

93Chapter 6: The Signal Generator — From Raw Data to Trade Decisions

237Lessons for the Manual Trader

94The Problem with Proxy Indicators

238The Democratization of AI Trading

95Step 1: Fetching the Bars

239A Closing Word from the Builder

96Step 2: Computing Real Signals

240(Untitled)

97Step 3: The Consolidation Filter

241Key Takeaways

98The SuperNova Indicator

242Epilogue: The 4 AM Update: To You, the Reader

99The Catalyst Detection System

243Appendix A: Glossary of Trading Terms

100Step 4: Genome Scoring — Where Signals Become Decisions

244A

101The Ten-Bar Discovery

245B

102The Options Pipeline

246C

103Putting It All Together: The Journey of a Signal

247D

104(Untitled)

248E

105Chapter 7: Risk Management — Nine Layers of Protection

249F

106Why Risk Management Is the Whole Point

250G

107Layer 1: Account-Level Controls

251H

108(Untitled)

252I

109Layer 2: Daily Controls

253J

110Layer 3: Sector and Correlation Controls

254K

111Layer 4: Session Entry Windows

255L

112Layer 5: Entry Gatekeeping

256M

113Layer 6: Per-Trade Stop Loss and Trailing Stop

257N

114Layer 7: Tiered Profit-Taking

258O

115Layer 8: Time Stops and EOD Auto-Close

259P

116Layer 9: The FOMO Gate

260Q

117The RiskManager Class: Institutional-Grade Controls

261R

118Shadow Trading: Risk-Free Learning

262S

119The Nine Layers in Concert

263T

120The Pending Improvements: What Risk Management Still Needs

264U

121Chapter 8: Alpha Testing — Day One

265V

122The Hours Before the Bell

266W

123(Untitled)

267Y

124The First Trade

268Appendix B: SST Alpha Engine Technical Reference

125The WNW Trade — When the Human Beat the Machine

269Platform Summary

126The Blind Brains Problem

270The Agent Pipeline

127The 91.8% Illusion

271The Genome

128The Six Trades of Day One

272Signal Generator (LiveSignalGenerator)

129(Untitled)

273Risk Management Stack (Nine Layers)

130Error 201 — The Cash Account Surprise

274Trading Strategies

131(Untitled)

275Broker Integrations

132The Re-Adoption Loop — 65 Ghosts of BW

276Technology Stack

133(Untitled)

277Dashboard Features

134What Paul Felt

278Proprietary Assets

135The Discovery That Changed Everything

279Sister Platform: Omega Engine

136The Weight of Honest Numbers

280Appendix C: Resources for New Traders

137What the Market Taught the Machine

281Recommended Brokers

138The Closing of Day One

282Paper Trading Setup Guide

139Chapter 9: Twelve Fixes in One Night

283Essential Books

140Fix 1: The Missing evolve() Method (Severity: Critical)

284Websites and Data Sources

141Fix 2: Phantom Win Rate Separation (Severity: Critical)

285Communities and Continuing Education

142Fix 3: Fill Price Capture (Severity: Major)

286Risk Management Checklist

143Fix 4: Stale Price Guard (Severity: Major)

287SST Alpha Engine

144Fix 5: Ticker Cooldown (Severity: Major)

288About the Author

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