You contract with one of the licensed entities below, not with the brand. Protection differs enormously between jurisdictions, so check which entity actually onboards you.
Fortrade should be checked by entity and CFD risk disclosure. Education helps, but it does not change leveraged-product risk.
Generated by AI from structured facts above. All sources are linked under "Why this score".
As of 2026-05-25, the FXCN database records 4 active licence(s) for Fortrade Ltd: FCA #609970, ASIC #493520, CySEC #385/20, FSCA #49846, including 3 Tier-1 licence(s). Every entry links to its public evidence source — see the licence table above.
Based on public regulatory data and our open-source algorithm, FXCN currently scores Fortrade Ltd at 75.0/100 (Yellow · Caution). Scores are fully independent of commercial deals and are not investment advice; fund safety ultimately depends on the licensed entity that onboards your account.
Fortrade Ltd was founded in 2013 and is headquartered in United Kingdom.
Take the licence number to the regulator's official register (FCA Register, ASIC Connect, NFA BASIC, etc.) and search it. Every licence row on FXCN links to its regulator evidence page with a last-verified date.
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 2026-05-25, 3/5 dimensions have enough public data to assess; not yet assessed: 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.
