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2013issue C0830-33

Crowd sentiment as one testable decision loop

A market can be modeled as a crowd whose shared sentiment creates the supply-demand-imbalance that price later records. TradersWeek editorial: treat that loop as a rule input for entry, exit, and standing aside, not as separate market color.

  • A market can be modeled as a crowd in which deindividuation leaves sentiment, not private judgment, as the operative input.
  • Sentiment drives a supply-demand-imbalance, and the resulting price is treated as a reflection of that same imbalance.
  • News keeps the loop dynamic, and the same sequence can be redrawn under weak-efficiency, semi-strong-efficiency, or strong-efficiency.
  • TradersWeek editorial: write entry, exit, and standing aside against that observable loop instead of treating crowd feeling as untested market color.
Entries in this reading1 entry

The market as a crowd

A market can be modeled as a crowd: one psychological entity whose motion is driven by shared emotion rather than by the simple sum of independent private judgments. Membership in that crowd can swamp individual cognitive assessment. That crowding-out of personal assessment is deindividuation. The operative input then becomes sentiment, the shared emotional stance toward what participants already know or expect.

Imbalance as the price mover

A supply-demand-imbalance is a mismatch between willing buyers and willing sellers, and it is treated as the immediate mover of price. A demand surplus relative to available supply is presented as the condition that lifts price. A seller surplus is presented as the condition that lowers it. Matched quantities are presented as equilibrium.

Once an imbalance moves price, that new price is treated as a reflection of the same imbalance. The link is two-way rather than one-directional.

Sentiment and information as one loop

In the completed first-stage model, sentiment drives the supply-demand-imbalance, and the imbalance is also treated as a reflection of that sentiment. Assessment of information is what generates sentiment. Sentiment is also treated as a record of already-assimilated information.

Because the last printed price is itself information, it functions as price-as-information: data that feeds later sentiment. The loop becomes a recurring process that can amplify through positive feedback.

News and the efficiency redraw

Fresh assessments and newly arriving facts are treated as news: any new fact, revision, or judgment that changes mood and enters the loop as an outside shock. That exogenous news makes the loop dynamic and allows both reinforcing and opposing feedback.

The same loop can be redrawn as a one-way absorption sequence. Under weak-efficiency, current price is assumed to contain everything implied by earlier prices. Under semi-strong-efficiency, newly published information is assumed to be absorbed into price at once and without systematic tilt. Under strong-efficiency, price is also assumed to contain relevant unpublished information.

What stays observable

Whether the model is read as psychology or as information flow, the determination that remains observable and quantifiable is price. That is offered as the reason to study price action as one procedure.

Feeling as a rule input

TradersWeek editorial: treat crowd feeling as a missing rule input rather than as market color. If shared emotion creates the imbalance that price later records, then entry, exit, and standing aside belong in one procedure written against that observable loop. They do not belong in a separate, untested change of heart.

On this editorial reading, sentiment, news, and price-as-information are inputs to the same decision process that also states when to do nothing. The archive’s remaining observable, price, is what makes that single procedure something a system can write down and review.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
65 of 89 in the Trading psychology process track
20136-7 pp.Next on Trading psychology processKeep social noise outside the rule setA precommitted input-filter decides which public opinions may enter the signal-path and rejects the rest as contamination.
All readings on this track · 89 readings
  1. 1988Habitual decision style can override a trading system's rules under stress
  2. 1988Abstention and self-checks complete the procedure
  3. 1988When packaged systems replace a testable decision process
  4. 1991Fighting market direction as a process failure
  5. 1993Replacing beliefs that override a testable trading procedure
  6. 1993Fear as a named constraint in entry and exit rules
  7. 1993Body state on the trading checklist
  8. 1994When fear vetoes a tested trading system
  9. 1994Slump recovery as a testable decision procedure
  10. 1994Hesitation as an incomplete decision process
  11. 1994Trading weaknesses as testable process inputs
  12. 1994Mental imagery as an unlogged execution filter
  13. 1994Comfort-zone overrides of testable trade rules
  14. 1995Emotion rebound as a system rule failure
  15. 1995Evaluating emotional overrides in a rule-based decision procedure
  16. 1995Construct centering into entry, exit, and abstention
  17. 1995Resistance-audit for trading rule construction
  18. 1995Single-mode thinking leaves gaps in trading decisions
  19. 1995Psychology is the trading system's execution layer
  20. 1995Operator burnout as decision-process failure
  21. 1995When success breaks the trading procedure
  22. 1996Between-trade recovery as one decision procedure
  23. 1996Isolation in a losing stretch belongs in the written procedure
  24. 1996When goal proximity overrides one trading procedure
  25. 1996When emotional overload breaks testable rules
  26. 1996Trader-created losses as decision procedure failures
  27. 1996Inner commentary as an unlogged system override
  28. 1997Inner forecasts that override system hold rules
  29. 1997A conscious rebuild of trading rules after change
  30. 1997Streamline trading rules until the signals agree
  31. 1998Happiness as a tradable decision process
  32. 1998Warfare metaphors as untested trading rules
  33. 1998Constructing a generosity gate for trade decisions
  34. 1998Why trading systems need a sensory decision base
  35. 1999Shock, abstention, and the decision handoff
  36. 1999Rewrite trading nightmares before they become rules
  37. 1999Anxiety as a trading-system construction checkpoint
  38. 1999When revenge replaces the abstention rule
  39. 2001Money beliefs that veto trading rules
  40. 2001Ignored sells need an execution filter
  41. 2001Courage fails unless trading rules are written and tested
  42. 2003When compulsion rewrites the trading procedure
  43. 2004When tested rules fail to fire
  44. 2004Precommit exits when regret outweighs pride
  45. 2005Audit personal stories before blaming the trading rules
  46. 2005Why tested systems still fail at execution
  47. 2007Losing streaks test the whole procedure
  48. 2007Pre-trade protection rules for surprise declines
  49. 2007Defensiveness rewrites testable trading rules
  50. 2008Observer-self as a filter for entry, exit, and abstention
  51. 2008The holding-period rule for post-fill arousal
  52. 2010Treat psychology as part of the trading procedure
  53. 2010Normalized volatility as a testable regime switch
  54. 2012Post-loss self-talk as an intraday rule-input
  55. 2012Write uncertainty into one trading procedure
  56. 2012Milestone rallies need entry, exit and abstention rules
  57. 2012Mental fitness as the missing decision rule
  58. 2012Session close is a flatten rule, not overnight hope
  59. 2012A signal without a sit-out is not a system
  60. 2012Beliefs that rewrite system entry and exit signals
  61. 2012Live loss rewrites the rule-based decision process
  62. 2013Market access as a missing system rule
  63. 2013Skipped exits and the unplanned hold
  64. 2013Test entry, exit, and abstention as one procedure
  65. 2013Crowd sentiment as one testable decision loop
  66. 2013Keep social noise outside the rule set
  67. 2014Community feeds versus testable decision rules
  68. 2014Outcome control versus testable execution rules
  69. 2014Liquidity eligibility as a testable system rule
  70. 2015When the fill replaces the hold rule
  71. 2015When loss aversion overrides testable hold and exit rules
  72. 2015Pause and objectify before trade decisions
  73. 2015Clutch delivery as the unfinished trading rule
  74. 2016The failure protocol inside a trading decision process
  75. 2016When trading psychology becomes a testable process
  76. 2016Psychology belongs inside the trading rule set, not beside it
  77. 2016Trader maturity stages as a critique of an unfinished decision process
  78. 2017Quiet volatility is not a complete trading process
  79. 2017The plan-trust gap after live-testing
  80. 2017When a winning hold is not system adaptation
  81. 2017Risk-first rules instead of year-ahead forecasts
  82. 2018Why-first stories leak the tape test for entry, exit and abstention
  83. 2018Replace intuition with a testable decision procedure
  84. 2018Make regret a testable stand-aside input
  85. 2018Exit rules over fear when volatility returns
  86. 2018When inherited instincts override trading-system rules
  87. 2018Averaging down as hope substitution after a seed loss
  88. 2018Click rankings cannot replace a testable decision procedure
  89. 2020Living-cost pressure as an untested trading constraint
All 376 readings tagged Trading psychology process
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