wikifx connects in real-time to 42 global regulatory agency databases, refreshes over 150,000 license statuses daily, and provides advance warning of 93% of prospective fraud risks. For instance, among the 12 cloning websites exposed by the UK FCA in 2023, wikifx utilized OCR technology to identify font differences (spacing error of 0.3 pixels) and color value difference (RGB deviation ±8%) of its counterfeit licenses, alerting risks on average 72 hours earlier. As a result, users avoided cumulative losses of as much as 230 million US dollars. The site also utilizes AI to track suspicious traffic on the official website. For instance, traffic from one particular fraud site fell by 87% in the 48 hours preceding its disappearance, and sent the wikifx risk index from 62 to 91 (from a scale of 100), and the user withdrawal success rate dropped from 98% to 19%. This crisis was intercepted instantly.
The user base forms the core of wikifx’s anti-fraud system, processing 12,000 units of genuine transaction proof (e.g., MT4 logs and withdrawal screenshots) per month and removing 23% of false reviews. In 2022, an EU platform advertised “zero slippage”, yet data of 5,000 transactions reported by wikifx users revealed that actual slippage was up to 28.7% (a high of 53 points), well above the market average of 3.5 points. The platform duly reduced its technical score from 85 to 39 points. In addition, wikifx also discovered through IP cluster analysis that a broker hired Internet users to spam reviews (82% of the positive reviews were from the same AS number). Combined with semantic repetition detection (78% content similarity), it changed its score from 4.8 to 2.1 within 48 hours, blocking over 2,000 users from depositing.
For technical proof methods, wikifx adopts blockchain proof storage technology to solidify the proof chain, with less than a 10^-9% chance of tampering. In 2021, an Asian platform falsified bank guarantees (declaring a registered capital of 20 million US dollars). wikifx discovered three edit records through the analysis of PDF metadata and verified that the SWIFT code was invalid. In fact, it took only 3.8 million US dollars in funds and users thus avoided 98% potential loss. The website is also screened for web security vulnerabilities. For instance, on a certain “high-yield” fraudulent website platform, the validity period of the SSL certificate was anomalous (7 days as opposed to 1 year being standard), and the server geographical location varied by 1,200 kilometers from the reporting geographic address required for regulation. wikifx blacklisted it within 12 hours.
The real-time surveillance system browses global regulatory penalty announcements at 30-minute intervals. In 2023, it detected 326 cases of fraud, 93% of which were discovered before the news. For instance, on August 10, 2023, the Canadian IIROC suspended the license of a particular platform. wikifx warned 6.5 hours earlier through an API status code inconsistency (HTTP 503 error rate rising by 580%), and the users’ average balance of refunded funds also reached 92%. Funds flow is also tracked on the site. In 2022, it assisted users in refunding $26 million that had been frozen. Among them, an American investor managed to recover the principal amount of $187,000 which had been held up through the MT4 order number and payment voucher from wikifx within 9 working days (industry average is 4.2 months).
According to a University of Cambridge study in 2023, wikifx users have a 78% lesser probability of being scammed and have an average annual return rate of 14.7% (6.2% for non-users). For instance, one of them was an ASP-like licensing site that made ASIC licenses (the registration number had just a one-digit variation from the genuine one), but wikifx caught on within 24 hours by verifying the address (allegedly registered in Melbourne but located in Sydney) and the variation in the name of the legal representative’s name (” MacDonald “vs.” Mcdonald “). These technologies, along with the power of community, have facilitated that users of wikifx can avoid losses due to risks of over 180 million US dollars annually, improve decision-making efficiency by a factor of 3.8, and turn into the most sought-after weapon against fraud by 89.3% traders.