Reno, NV — November 25, 2025 — Tickeron, a frontrunner in AI-driven trading automation, has unveiled its new generation of Single and Double Ticker AI Agents—streamlined trading bots built to reflect actual retail trading behavior. After analyzing millions of platform interactions, Tickeron identified a consistent trend: most retail traders prefer focusing on individual stocks and ETFs they already know, rather than managing wide, diversified portfolios.
In response, the company’s quantitative research team redirected its development strategy toward highly focused AI Trading Bots built around one or two specific tickers, reducing complexity without sacrificing computational rigor. Early performance results have been remarkable, with certain agents delivering annualized returns of up to 563%, according to Tickeron’s internal evaluations.
Tickeron’s behavioral analysis shows that traders perform best when working with tickers they monitor closely—whether mega-cap tech names like GOOGL, fintech favorites such as SOFI, or high-volatility leveraged ETFs like SOXL that thrive during fast market rotations.
By concentrating each AI Agent on one or two well-known symbols, Tickeron’s models can:
Identify patterns with greater accuracy
Respond more quickly to technical shifts
Apply machine-learning confidence scoring optimized for a single asset
Minimize signal noise that comes from multi-asset strategies
This focused architecture has led to some of the strongest performance results across Tickeron’s automated trading ecosystem.
AI Trading Agent, 15min
AI Trading Agent, 15min
AI Trading Agent, 5min
These performance results reflect backtests and live-simulation analytics conducted within Tickeron’s FLM ecosystem.
Last week, leveraged U.S. equity ETF trading volume surged to $26 billion, the third-highest level in more than five years—more than double the 2025 weekly average. This aligns with the broader trend of retail investors aggressively positioning into familiar tickers, especially during dips.
Tickeron’s Single and Double Ticker Agents were built precisely for this behavior, enabling everyday traders to automate strategies around the symbols they follow most closely.
Tickeron’s AI Agents combine multiple advanced technologies to deliver fast, precise, and disciplined automated trading. Their capabilities include:
Real-time pattern detection
Machine-learning–driven signal optimization
Proprietary Financial Learning Models (FLMs)
Specialized bots built for 5-minute, 15-minute, and 60-minute intervals
Structured risk-management frameworks
Optional automated brokerage execution
For example, the GGLL Single Agent applies FLM-enhanced 15-minute pattern analysis to leveraged GOOGL-linked movements while enforcing strict position limits to maintain controlled risk exposure.
“Our mission is to understand what retail traders truly value and build AI solutions around those preferences,” said Sergey Savastiouk, Ph.D., CEO of Tickeron. “When we recognized that users repeatedly gravitated toward a small group of familiar tickers, we shifted our focus to Single and Double Ticker Agents. These streamlined bots deliver speed, simplicity, and the performance edge today's traders demand.”
Tickeron, Inc. is a Silicon Valley–based fintech innovator specializing in AI-powered trading automation, Financial Learning Models (FLMs), and advanced market-analysis systems. The company’s modular AI Agents offer real-time signals, automated execution, and machine-learning insights across equities, ETFs, leveraged ETFs, cryptocurrencies, and more—built for retail traders, quantitative strategists, and financial platforms alike.
Learn more at www.tickeron.com.
AI Trading for Stock Market | Tickeron