The Quarters Theory: The Revolutionary New Foreign Currencies Trading Method
Bibliographic record
Abstract
An Inside Look at an Innovative Forex Trading Method. Preface. Acknowledgments. Chapter 1 The Foundation of The Quarters Theory. The Quarters. The Premise of The Quarters Theory. Completion of the Large Quarters. 1000 PIP Range Transitions. Large Quarter Transitions. Large Quarter Corrections. Chapter 2 Forecasting the Large Quarter Price Moves. Analyzing Price Behavior at the Large Quarter Points The Three-Day Rule of The Quarters Theory. Chapter 3 Preparing The Quarters Theory Trades. Discovering the Fundamental Edge. Combining The Quarters Theory and Fundamental Analysis. Identifying the Technical Edge. Trend-Continuation Patterns. Trend-Reversal Patterns. Technical Indicators Fibonacci Retracement. Fibonacci Extensions. Elliott Waves. Chapter 4 The Quarters Theory Trend Waves. Trend Wave Failure. The Reversal-Trigger Wave. The Progressive Wave. The Conclusive Wave. Consecutive Waves. Extended Trend Waves. Combining The Quarters Theory and The Quarters Theory Trend Waves. Chapter 5 The Quarters Theory Trades. Structure and Types. The Large Quarter Trade. Identifying and Taking Advantage of Large Quarter Trade Opportunities. The Inverse Large Quarter Trade. Hesitation Zone Trades. Overshoot Trades. Half Point Trades. Whole Number Trades. Glossary of Terms. Index.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".