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Gambling

As explained in Investing for Programmers

Gambling is an asset-monetization approach based primarily on chance, gut feelings, or perceived signs rather than structured analysis.

Gambling monetizes assets through chance, gut feelings, or perceived signs rather than structured analysis. Cognitive bias can make random events look meaningful and encourage impulsive buying or selling. section 1.3

Distinguish gambling from more structured approaches:

  • Investing pursues long-term wealth through critical thinking, research, and disciplined decisions. section 1.3 section 4.6
  • Trading targets short-term price fluctuations and carries greater risk because decisions occur more frequently. section 1.3
  • Gambling begins when feelings outweigh critical thinking, research, and a defensible investment thesis. section 4.0

From impulse to process

Treating a market pattern as a sign of a life-changing investment exemplifies gambling. A more disciplined process researches an idea, plans the decision, executes it, reflects on results, and adjusts. section 1.3 section 4.0

Figure 1.1 A survey of the tools and techniques covered in this book, including pointers to the chapters that focus on the relevant domains
figure

Use the survey of financial tools and analytical techniques to locate methods that replace gambling-like speculation with evidence-based decision support. section 1.3

How Investing for Programmers covers it

How deep it goes
Defines gambling, identifies cognitive bias, and contrasts it with structured investing, but stops short of operational gambling analysis.
Examples
Uses gut feelings, perceived universal signs, random patterns, and blindfolded dart throwing as examples of unsupported decisions.
What it assumes
Assumes familiarity with buying and selling assets while distinguishing gambling from investing through basic financial concepts.
What you can do after
Evaluate decisions by separating instinctive speculation from research, planning, reflection, and critical thinking.
How it connects
Connects gambling with investing, trading, cognitive bias, investment thesis, and risk.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Investing for Programmers. The section links point to the parts of the book it draws on.