PTC Methodology & Data Standards
How PropTradeCenter turns evidence into rankings, estimates and research.
PropTradeCenter combines independently observed data, documented source evidence, third-party datasets and proprietary analytical models to analyse the retail proprietary trading industry.
This section explains how PTC intelligence is produced, how data coverage is assessed, how uncertainty is communicated, and how methodologies are updated over time.
PTC does not treat missing information as negative evidence. Where important inputs are unavailable, we may withhold a score, mark coverage as partial, or identify information as not independently verified rather than assuming a value.
Four parts of the PTC methodology
Rankings & Indexes
How firms become comparable.
PTC rankings and indexes convert multiple market, company and research signals into consistent analytical measures. Depending on the index, inputs can include search demand, market presence, website activity, social audience, reputation evidence, credibility findings, firm size indicators and other independently observed signals.
- which firms are eligible for each ranking
- how individual components are measured
- how missing data is handled
- how scores are normalised
- how ranking universes are constructed
- when a provisional score becomes eligible for official publication
Industry Estimates & Models
Estimating what the industry does not publicly report.
Many important prop trading metrics are not directly observable. Firms generally do not publish comparable figures for active traders, funded traders, payouts, revenue or market size. PTC therefore uses documented statistical models to estimate selected industry metrics. These models combine observable signals, calibrated relationships and defined assumptions. Estimates are explicitly distinguished from reported facts. Where appropriate, PTC publishes ranges, confidence information and methodology notes alongside estimated values.
Research & Evidence
Evidence first, interpretation second.
PTC research is based on documented evidence rather than personal preference.
- official firm websites and published terms
- company and regulatory records
- platform and product information
- public company communications
- independently observed website and search data
- third-party data providers
- archived historical observations
- submitted evidence
- other relevant public sources
Sources vary in reliability. PTC therefore records provenance and, where appropriate, distinguishes between verified information, third-party observations, calculated findings, estimates and information that remains unverified. Research publications and material editorial findings are subject to PTC’s review process before publication.
Data Standards & Governance
How PTC controls quality, coverage and change.
A large intelligence system is only useful when readers can understand what the data represents and where its limitations are. PTC therefore maintains standards for source provenance, evidence quality, data freshness, coverage completeness, confidence, model eligibility, historical snapshots, methodology changes and editorial review. PTC preserves historical observations where appropriate so that changes can be analysed rather than simply overwriting previous values.
How PTC treats missing data
Missing evidence is not automatically treated as poor performance. This distinction is important because data availability differs materially between firms. For example, if a component of an index has not yet been independently observed, PTC may calculate an internal provisional value using the evidence that is available. The result can be marked as partial coverage and withheld from an official ranking until the required evidence threshold is met.
- Complete coverage
- Required inputs are available and the metric is eligible for normal publication.
- Partial coverage
- A meaningful analytical result can be produced, but one or more required inputs remain unavailable.
- Insufficient coverage
- Available evidence is not sufficient to produce a reliable metric.
- Not verified
- A claim exists, but PTC has not independently established the underlying fact.
This prevents a lack of evidence from being confused with evidence of poor performance.
Observed data, calculated metrics and estimates
- Observed data
- Information directly observed from an identifiable source or data provider. Examples may include a published rule, website metric, search observation, company record or verified social account.
- Calculated indicators
- Metrics derived mathematically from observed inputs according to a defined methodology. Examples include ranking components and index scores.
- PTC estimates
- Model-derived values used where the underlying real-world quantity is not directly observable. Examples may include estimated active traders, funded traders or industry payouts.
- Editorial classifications
- Evidence-based classifications made using defined PTC research standards. Examples may include firm status, funding environment or verification status.
The nature of the data should be identified wherever it materially affects interpretation.
Coverage before ranking
PTC tracks more firms than may appear in an individual published ranking. A firm can therefore exist in the PTC research universe without appearing in a Top 100 ranking.
- sufficient data coverage
- appropriate firm status
- minimum evidence thresholds
- completeness of required index components
- methodology of the particular ranking
Where a firm has a valid absolute score but falls outside the published ranking cohort, PTC may display the score without assigning a public rank. Being absent from a ranking should therefore not automatically be interpreted as a negative assessment.
Methodology changes
The prop trading industry changes rapidly, and PTC methodologies may evolve as new data sources become available, coverage improves, industry structures change, model calibration improves, or weaknesses are identified in an existing methodology.
Material changes should be documented rather than silently applied.
Where appropriate, PTC preserves historical methodology context so users can distinguish between a genuine change in a firm or market and a change caused by methodology.
Independence
PTC methodology is designed independently of commercial relationships.
Advertising, sponsorship, affiliate relationships or other commercial arrangements do not determine whether a firm is included, its index score, ranking position, research conclusion, or editorial assessment.
Commercial arrangements are kept separate from analytical methodology and editorial review.