Breaking news from the financial technology frontier: Plazo Sullivan Roche Capital, a nonprofit research organization with a philanthropic edge, has sparked a revolution with its compelling validation of a full year’s worth of prosperous trading data. This game-changing revelation hinges on the power of AI-guided trading systems, turning the future of finance on its head.
The firm has engineered an impressive 54 autonomous systems, but it’s the 39th brainchild, code-named Amon Ra, that’s stealing the spotlight. From April 2022 through May 2023, Amon Ra has performed an awe-inspiring 431 successful trades with a mere five losses. The data, verified and publicly accessible on MyFXbook, were unveiled to a flabbergasted crowd at the Dubai Forex Trader’s Summit by the company’s CTO, Xavier Roche.
During a 12-month period of rigorous forward-testing, the algorithm flaunted a flawless 100% win rate on the four-hour chart, a near-perfect 97% on the one-hour chart, and a noteworthy 88% win rate on the 15-minute chart. This triumphant performance traversed 26 leading forex pairs, 23 index pairs, 6 gold pairs, and 2 oil pairs.
“The algorithm vigilantly tracks over 350 environmental parameters, focusing primarily on a harmonic pattern like the Gartley or Deep Crab,” explained Joseph Plazo, CEO of the research group, in a remote interview. He stressed the institutional traders’ fondness for Harmonic Patterns, which are instrumental in predicting future market movements and identifying potential price changes or trend reversals.
Among the 11 major chart patterns, the Bat pattern is considered to be remarkably effective. Named after its bat-shaped chart structure, the Bat pattern, identified by Scott Carney in 2001, comprises precise elements to pinpoint PRZs.
Running on the TradingView, Ctrader, and Ninjatrader platforms, the algorithm offers unprecedented accuracy in recognizing harmonic patterns, especially around bounce-back areas of supply and demand zones. The algorithm’s maximum drawdown was an astonishingly low 0.5%. As a result, it achieves strategic entry alignment with banking institutions. This is a monumental advancement in achieving the firm’s vision: using AI and machine learning to safeguard and expand financial capital.
As a non-profit, Plazo Sullivan Roche Capital uniquely focuses on freely sharing financial technology instead of direct sales. The organization invests in trading internal funds while providing free indicator access to select entities. Public releases of manual indicators are conducted over the entity’s LinkedIn page and Telegram account. On a separate note, source code had been provided by chosen academic institutions.
“Our primary goal at Plazo Sullivan Roche Capital has always been to push the boundaries of AI and machine learning in finance, ensuring the safety and growth of financial capital,” said Joseph Plazo. “With Amon Ra, we’re shattering preconceived notions of what’s achievable in fintech, setting an entirely new benchmark for the industry.”