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WFN QUICK BRIEF · UNDER 1 MIN
The short version
MODE 2 OF 2
What the source establishes
NIST’s binomial reference defines a model for counts of two-outcome trials with a fixed success probability. Applying that model to a trading record requires assumptions about the trials, including independence; those assumptions are not established by a platform’s win-rate label. NIST/SEMATECH — Binomial Distribution ↗
What the distinction changes
The word specified is important. The chance of finding a five-loss run somewhere within a long record is different from the chance that the next five trials all lose. Treating these as the same event understates how many opportunities a long history creates for a cluster.
Questions for the next review
State the event, observation horizon and assumptions before quoting a run probability. Compare the model with the complete dated record, including fees and omitted outcomes. Do not use a hypothetical percentage as evidence that a strategy has a verified edge.
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WFN STORY COMPASS
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EDITORIAL ILLUSTRATIONWFN EDITION · 15 OCTOBER 2026
Editorial noteSource-based explanation with original WFN analysis. Historical records retain their original periods. Numerical examples are labelled as illustrative, not observed market data. AI-generated conceptual illustration; it does not document an actual event or product interface.
WFN REALITY LEDGER
What is on the record?
Primary-source explainer
Primary-source explainer; examples are explicitly illustrative
Primary record / reference periodPublished statistical methodology; no observed trading performance claimed
The cited material establishes the documented method or historical record. WFN analysis and illustrative calculations are labelled separately.
The binomial model provides a way to inspect binary outcome claims. Its independence and constant-probability assumptions must be stated.
01 · VERIFIED RECORD
What the source establishes
NIST’s binomial reference defines a model for counts of two-outcome trials with a fixed success probability. Applying that model to a trading record requires assumptions about the trials, including independence; those assumptions are not established by a platform’s win-rate label. NIST/SEMATECH — Binomial Distribution ↗
In an explicitly illustrative independent model with a 60% win probability on each trial, five specified consecutive losses have probability 0.4 to the fifth power, or 1.024%. This is a calculation under a model, not a measured frequency for a trading system.
02 · WFN EDITORIAL ANALYSIS
What the distinction changes
The word specified is important. The chance of finding a five-loss run somewhere within a long record is different from the chance that the next five trials all lose. Treating these as the same event understates how many opportunities a long history creates for a cluster.
A loss cluster also does not imply that the next independent trial is due to win. Conversely, real trading outcomes may share market drivers and violate independence. Either error can turn a simple probability calculation into a misleading claim about a product.
03 · WHAT TO CHECK NEXT
Questions for the next review
State the event, observation horizon and assumptions before quoting a run probability. Compare the model with the complete dated record, including fees and omitted outcomes. Do not use a hypothetical percentage as evidence that a strategy has a verified edge.
