| Regulation | +/− | Reason | Evidence |
|---|---|---|---|
| Regulation | -50.0 | No verified regulatory licence found (REG_NONE) | evidence pending |
| Transparency | +20.0 | Registered and operating locations are consistent (TRANS_HQ_MATCH) | evidence pending |
| Transparency | +15.0 | Shareholders and directors are publicly traceable (TRANS_SHAREHOLDERS) | evidence pending |
| Reputation | +0.0 | Insufficient user reviews (0) for assessment (REP_INSUFFICIENT) | evidence pending |
Cboe FX should be understood as an institutional venue. Compare its liquidity role rather than rating it like a retail broker.
Generated by AI from structured facts above. All sources are linked under "Why this score".
FXCN has no record of an active regulatory licence for Cboe FX Markets. Treat any platform soliciting deposits under this name with extreme caution and verify it with our scam-check tool first.
Cboe FX Markets was founded in 2006 and is headquartered in United States.
Clone firms reuse a genuine broker's name and licence number but operate different domains, payment accounts and support channels. Trust only the domain on the regulator's record; "agent onboarding" or "insider channels" are scam signals. Cross-check with FXCN's scam-check tool. Scam Check
The FXCN score combines 5 weighted dimensions: Regulation 30%, Risk control 20%, Transparency 20%, Reputation 20%, Disclosure 10%. As of 2026-08-30, 2/5 dimensions have enough public data to assess; not yet assessed: Risk control, Reputation, Disclosure. Unassessed dimensions stay at the base score of 50 — they neither add points nor trigger the "any dimension too low" downgrade. We would rather flag a gap than fill it with a guess. Every individual point adjustment is listed in the evidence table above.
Scores are computed automatically by a 100% open-source algorithm from public regulatory data — anyone can reproduce the exact score locally. Advertising never affects any score; see our methodology and revenue disclosure pages. Methodology
Brokers sharing a regulator appear first, followed by alternatives in the same headquarters jurisdiction and risk band. Every relationship comes from structured FXCN data; nothing is random.
