Direct answer
To assess a Raw Spread Account, collect data that lets you (1) define how the account reports “raw” pricing, (2) quantify all relevant costs and execution terms, and (3) verify where the numbers come from and how up to date they are. Focus on inputs, their provenance (source and method), their timeliness (when measured), and quality checks (consistency, completeness, and clear assumptions). Where you use examples or calculations, state the assumptions explicitly and note that results will vary with market conditions.
Mechanism and definition
A “Raw Spread Account” is typically understood as an account type where the pricing you see is closer to underlying market prices (often described as “raw” spreads), and where the provider may recover costs through explicit or partially explicit charges rather than only through wider displayed spreads. To assess it without guessing, the needed data should cover:
- Pricing representation: What exactly is shown as the spread (e.g., how “raw” is defined), and whether any additional markups are applied.
- Cost components: All charges that affect trading cost, such as commissions/fees and any other per-trade or per-order costs. Include the basis for each cost (per lot, per trade, per side, or per unit).
- Execution and fill behavior: How orders are executed (e.g., market vs. limit), how slippage is handled conceptually, and what terms apply when liquidity is thin or volatility is high.
- Data provenance: Where reported prices/spreads come from (provider feed, liquidity venue, or an internal reference), and how they are calculated or aggregated.
Stable mechanics are the documented rules (definitions, how costs are measured, and how spreads are reported). Variable factors are market conditions and execution outcomes that can change from day to day.
Evidence or example inputs
Use a checklist of inputs that can be independently validated:
- Account terms and calculation definitions: The provider’s written definitions for raw pricing/spreads and for every cost component.
- A complete cost worksheet: For each side of a trade, list the commission/fee rules and any other charges that apply. If you show an example, assume a specific order size and a stated cost formula so you can recompute it.
- Time and measurement context: For any historical data you use (spreads, execution statistics, or records), record the measurement timestamps, the timezone convention, and whether the data represents quotes, executions, or both.
- Consistency checks: Confirm that the same definitions are used across documents (e.g., the same “spread” concept in screenshots, reports, and statements). Check for missing fields (e.g., commissions shown but not fully specified).
Example assumption (to keep the logic testable): if you estimate total trading cost for a hypothetical trade, you must specify the trade size and clearly separate (a) commission/fee assumptions from (b) spread-related assumptions. Without those explicit assumptions, two people cannot independently verify the same calculation.
Limitations and risks
Even with good inputs, assessment can fail in common ways:
- Missing or ambiguous definitions: If “raw spread” is not precisely defined (or the calculation method is unclear), comparisons become non-reproducible.
- Unclear provenance: If you cannot trace the origin of reported pricing/spreads, you cannot verify whether numbers are quotes, executions, or adjusted figures.
- Timeliness mismatch: Using stale or differently-timed data can produce misleading conclusions; market microstructure changes quickly.
- Execution variability: Realized costs depend on liquidity, volatility, and order handling. Historical relationships between displayed spreads and realized execution costs do not guarantee future behavior.
- Jurisdiction and policy variation: Regulatory and contractual terms may differ by location and legal entity, affecting what is observable and how costs are applied.
A material failure mode is relying on a single reported spread number without accounting for commissions/fees and without verifying how slippage or fill quality is handled.
Verification and next question
To independently verify your assessment, ensure you can answer these questions using documentation and records: (1) What is the exact definition of the “raw” spread/spread measurement? (2) Which cost components apply per trade, and how are they calculated? (3) What is the provenance and timestamp convention for any pricing/spread data you use? (4) Are your calculations based on explicit assumptions that another reader can replicate?