AUSTIN, Texas - Nov. 13, 2025 - PRLog -- Tickeron, a global leader in AI-powered trading technology, announced outstanding performance results from its KGC AI Trading Agent. Over a 136-day period, the agent’s 15-minute strategy delivered an impressive +164% annualized return, generating $43,903 in closed P/L while trading Kinross Gold Corporation (KGC).
Kinross Gold (KGC), a major Canada-based gold producer, delivered approximately 2.1 million gold-equivalent ounces in 2024, supported by more than a decade of reserves. Operating mines across the Americas and West Africa, the company divested its Russian assets in 2022 and strengthened its portfolio with the high-potential Great Bear project—expected to produce over 500,000 ounces annually at top-quartile costs.
Tickeron’s AI Trading Agent is specifically calibrated for KGC’s price behavior, merging intraday and daily signals to offer a beginner-friendly yet institution-grade trading experience.
Built on Tickeron’s proprietary Financial Learning Models (FLMs), the agent delivers a transformative 15-minute trading framework. These FLMs combine deep learning, adaptive pattern recognition, and advanced technical analysis to forecast trends in real time—removing emotional bias and refining trade execution.
Key capabilities include:
15-Minute Pattern Recognition: High-frequency AI signals based on M15 chart dynamics
FLM Trend Filtering: Trend validation and noise reduction for accuracy
Machine-Learning Optimization: Continuous refinement of entry and exit patterns
Smart Swing Trading: Holds positions through major moves supported by daily trend confirmation
Automated Risk Controls: Up to six open positions with dynamic real-time monitoring
Ideal for beginners, the system offers clarity, discipline, and AI-driven consistency even in fast-changing markets.
“Tickeron’s FLMs merge artificial intelligence with advanced technical analysis to help traders navigate volatility with confidence,” said Sergey Savastiouk, Ph.D., CEO of Tickeron. “Our high-liquidity, beginner-friendly agents empower users with transparent, real-time insights that support smarter, more controlled decision-making.”
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