How can Raw Spread Account be measured?

Direct answer

Raw Spread Account can be measured by turning the concept into a set of observable fields—especially spread (bid-ask), commission (if charged separately), and execution timing—captured with consistent timestamps and execution context. The key is to define what “raw spread” means in your measurement, then apply the same assumptions every time you compare results across time periods or providers.

Because spread and related costs change with market conditions, “measurement” is about recording and calculating under stated rules, not about forecasting. Without real-time market data, you can still measure using the timestamps and trade records you have available (for example, quotes at decision time, fill prices, and reported fees).

Mechanism and definition: measurable fields

A practical way to measure a Raw Spread Account is to create a small checklist of inputs. Each field should have (1) a name, (2) a unit, and (3) a timestamp.

Raw spread (bid-ask spread at decision time)

Define the timestamp: “the time the order decision was made” or “the time the pre-trade quote was observed.”
Measure spread as (ask − bid) in the account’s price currency.
If your platform records only one side, do not assume the other side; instead, measure what is actually recorded.

Commission and other explicit charges

Separate commission from spread. Some accounts may quote “raw” prices and then add commission later.
Define exactly which fees are included: entry only, round-turn, or also financing/other charges.

Execution outcomes Raw accounts can be attractive because quoted spreads may be low, but real outcomes depend on execution.

Measure fill price versus a reference price (often the decision-time bid/ask) to quantify slippage.
Record execution time (order submitted time, time of fill confirmation, or the closest available timing fields).

Position/time window To compare like with like, define a time window (for example, a trading session or a historical date range) and the instrument set. Market hours and liquidity differ, which affects observed spreads and fills.

Evidence and example: how to compute comparable metrics

Here is one self-contained example of a measurement method using clear assumptions.

Assumptions

You have trade records that include: decision-time reference (or pre-trade bid/ask), fill price, and separately reported commission.
You test one instrument over a fixed period and use the same measurement rule for every trade.

Step-by-step metrics

For each trade, compute decision-time spread: ask − bid at the timestamp you selected.
Compute effective execution cost for direction:

For a buy: compare fill price to the decision-time ask (or an equivalent reference your records provide).
For a sell: compare fill price to the decision-time bid.
Convert the difference into price points or account currency consistently.

Compute total transaction cost per trade as:

(spread component you defined) + commission + (slippage or execution difference), using the exact inclusion rules you set.

Comparison rule

When comparing two Raw Spread Accounts, ensure you measure over the same instrument(s), comparable time windows, and the same cost inclusion set (spread only vs spread+commission vs total transaction cost).

This method “works” as measurement because it relies on fields you can record and on calculations you can reproduce. It does not assume a particular provider behavior beyond what your records show.

Limitations and risks: what can break measurement

At least one material limitation should be acknowledged in any Raw Spread Account measurement.

Timestamp mismatch If the bid-ask you treat as “raw spread” is not recorded at the same moment as the order decision or fill, the measurement may reflect quote timing rather than account mechanics.
Slippage and execution effects Even with low quoted spreads, execution can occur at different prices. If you measure only pre-trade spread and ignore fill differences, you may misrepresent actual transaction cost.
Different fee models Accounts may differ in how commission is reported, whether it is per side, per trade, or included in statements alongside other fees. If the inclusion rules differ, “total cost” comparisons are not valid.
Variable market conditions Outcomes vary with liquidity, volatility, and spreads themselves. Historical averages are not guarantees of future behavior, especially during changing volatility.