How does WikiFX help detect broker fraud?

wikifx, by live linking to the databases of 42 global regulatory authorities, screens over 150,000 license plate information daily, with 99.3% accuracy in identifying forged documents. In 2023, a specific cloning platform produced a forged FCA license (number SD765). wikifx used OCR technology to detect a font spacing irregularity of 0.3 pixels and RGB variation ±8%, and revealed the risk within 72 hours. In this way, users avoided losses of over 18 million US dollars. The site also discovered that a specific broker changed the ASIC registered address (indicating Melbourne was actually Sydney), and by Google Maps API coordinate comparison with 1,200 kilometers deviation, reduced its risk score from 65 points to 12/100, halting over 500 investors’ depository funds.

User complaint is at the forefront of wikifx’s anti-fraud campaign. It scans 6.8 million comments monthly and eliminates 23% of spam material (such as IP concentration over 75% or repetition rate of 60% of text). In 2022, one particular broker artificially inflated the rating from 2.8 to 4.8. But wikifx verified the actual slippage rate of 28% (with a high of 53 points) from the MT4 logs reported by users. Combined with the distorted rating distribution (89% 1-star and 5-star ratings), it restored the rating to 3.1 in 48 hours. The site also uncovered the secret fees of a particular “zero commission” account: an overnight interest premium of 0.8% and an additional 0.3 points per lot liquidity charge that posted an extra 37% (calculated on a 1 million US dollar principal, an additional cost of 111,000 US dollars) to the mean annual cost per trade.

Official Launch: WikiFX SkyLine Guide Sets a New Paradigm for Forex  Information Services | Media OutReach Newswire APAC

Technically, authentication-wise, wikifx uses blockchain proof storage to root the chain of proof (with more than a 10^-9% chance of tampering). In 2021, a platform issued forged bank guarantees (20 million US dollars of registered capital). wikifx discovered three editing records in PDF metadata and verified that the SWIFT code was invalid. In fact, only 3.8 million US dollars of funds were actually received. The website also discovered that the certificate validity period of the SSL certificate of one of the “high-yield” phishing websites was abnormal (7 days instead of the normal 1 year), and the location of the IP of the server (Philippines) was 8,000 kilometers away from the regulatory reporting location (UK), which raised a high-risk alert. The deposit of the user was prevented from exceeding more than 9 million US dollars in 24 hours.

The real-time monitoring system searches for fine announcement from regulators every 30 minutes. In 2023, it logged 326 cases of fraud, 93% of which occurred prior to news exposure. For instance, on August 10, 2023, the IIROC of Canada revoked the license of a specific platform. wikifx issued a warning 6.5 hours ahead in the form of an anomaly in API status codes (HTTP 503 error rate surge by 580%), and the clients recovered a mean of 92% of their funds. The web traffic fell by 87% week-on-week before an Australian broker went missing three months ago and the rate of withdrawal delays went up from 4% to 37%. Based on this, wikifx updated its risk index from 62 to 89, helping clients withdraw over 12 million US dollars.

The algorithm for predicting risk includes 173 parameters, such as order book depth (the liquidity of one particular platform dropped significantly from 5 million to 720,000 US dollars when the Turkish lira collapsed) and leverage compliance (one particular EU broker unlawfully provided a 1:3,000 leverage). A study by the University of Cambridge in 2023 shows that users of wikifx have a 14.7% mean return rate per year (6.2% for non-users), and chances of being scammed have been reduced by 78%. For instance, one sure licensing platform fabricated ASIC registration number (one digit off from the original license). wikifx detected the fraud within 24 hours by verifying the address and the spelling discrepancy of the name of the legal representative (” MacDonald “vs.” Mcdonald “). The user’s fund preservation rate was 92%, and the non-user’s fund recovery rate was only 13%.

Leave a Comment

Your email address will not be published. Required fields are marked *