The foundational claim is representational: at an observation moment, a chart can be reconstructed as a bounded two-sector field whose completed events are admitted reproducibly and decomposed into four primary measures. Density, balance, conversion, and scale relationships organize the resulting state.
The theory does not claim literal physical forces, complete knowledge of hidden orders, deterministic prediction, or proven profitability. Foundational identities follow from declared geometry; empirical claims connecting states to future returns, volatility, execution, or strategy performance require independent data.
The Titov Reproducibility Principle requires valid independent implementations using identical data and protocol to produce matching populations and measurements within declared tolerance. Disagreement must be traceable to source data, timestamps, price convention, boundaries, rounding, units, or software defects.
The Titov Validation Ladder progresses from formula verification to independent implementation, real-data sensitivity, preregistered predictive tests, executable application after realistic costs, and independent prospective replication. Negative evidence narrows claims and may require versioned revision.
Key Concepts
The vocabulary of the field.
Titov Field Hypothesis
A testable proposition about the structure or empirical relevance of declared Titov Field States.
Titov Reproducibility Principle
The requirement that independent valid implementations produce matching measurements.
Titov Validation Ladder
The ordered evidence program from formula verification to independent prospective testing.
Research Takeaway
The originality of the Titov Theory lies in its complete architecture—and its scientific legitimacy depends on definitions precise enough to be replicated, criticized, revised, and tested.
This essay explains the theory’s definitions and architecture. It does not constitute investment advice, a trading signal, or a promise of future performance.