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published in Blogs
Oct 06, 2025

Tickeron AI Trading Agents Post +61% Annualized Returns in 15-Minute Intervals, Thriving Amid Government Shutdown Turbulence

New York, NY – October 1, 2025 – Tickeron, a pioneer in AI-driven financial solutions, today unveiled groundbreaking performance results from its advanced AI Trading Agents, achieving an impressive +61% annualized return using ultra-short 15-minute machine learning intervals. This innovation arrives at a pivotal moment, as U.S. stock futures plunge amid the onset of a government shutdown, with Dow Jones Industrial Average futures dropping over 200 points, S&P 500 contracts falling 0.6%, and Nasdaq 100 futures declining 0.78%. In this environment of heightened uncertainty—marked by delayed economic data releases and reduced risk appetite among investors—Tickeron’s agents demonstrate resilient, data-backed strategies that empower traders to navigate volatility with precision.

Revolutionizing AI Trading with Shorter Machine Learning Cycles

Tickeron has accelerated its proprietary technology, introducing AI Trading Agents optimized for 15-minute and even 5-minute intervals—a leap from the traditional 60-minute industry standard. Powered by enhanced Financial Learning Models (FLMs), these agents process vast datasets including price action, volume surges, news sentiment, and macroeconomic signals in real-time. This results in dynamic adaptation to intraday swings, delivering entry and exit signals up to four times faster than legacy models.

Backed by rigorous testing, the shorter cycles have proven superior: agents now capture 25% more micro-trends, reducing false positives by 18% and boosting average trade duration efficiency by 32%. Early forward tests across 500+ simulated sessions show a 15% uplift in risk-adjusted returns (Sharpe ratio of 2.1) compared to longer intervals. As markets grapple with today’s shutdown-induced jitters—where global shares remain mixed and the U.S. dollar weakens—Tickeron’s agents provide a timely edge, automatically adjusting for sentiment shifts like the 0.5% Dow futures dip tied to fiscal impasse fears.

Stellar Performance Across Diverse Trading Strategies

Tickeron’s AI Trading Agents have posted exceptional results across multiple configurations, underscoring their versatility in both single-asset and multi-ticker environments. In a focused ETN strategy on a 15-minute timeframe, the agent delivered a +61% annualized return over 117 days, generating $16,656 in closed trades profit/loss (P/L). With 150 profitable trades out of 207 total (72.46% win rate) and a robust profit factor of 2.18, this approach highlights the agent’s prowess in high-frequency, directional plays.

https://tickeron.com/bot-trading/3589-ETN-Trading-Results-AI-Trading-Agent-15min/

Expanding to nine high-profile tickers—AAPL, GOOG, NVDA, TSLA, MSFT, SOXL, SOXS, QID, and QLD—the same 15-minute agent maintained a +61% annualized return across 69 days, yielding $9,542 in P/L. Here, long positions shone with 66 wins out of 115 (57.58% success rate), while short positions, though selective, achieved 9 wins from 81 attempts (11.11% win rate) in a bullish-leaning market. The overall profit factor climbed to 3.21, reflecting disciplined risk management that limited drawdowns to under 8% even during September’s 15-year high benchmark rally.

 

https://tickeron.com/bot-trading/3898-AAPL-GOOG-NVDA-TSLA-MSFT-SOXL-SOXS-QID-QLD-Trading-Results-AI-Trading-Agent-9-Tickers-15min/

For a more conservative long-only setup on three leveraged ETFs—FAS, LABU, and SOXL—using a 60-minute interval (as a benchmark comparison), the agent neared parity with a +60% annualized return over 50 days and $6,742 P/L. It secured 76 profitable trades from 122 total (62.30% win rate) and a profit factor of 3.51. Aggregating these strategies, Tickeron’s agents handled over 450 trades with an average holding period of 22 minutes, achieving a composite +60.7% annualized return and total P/L exceeding $33,000. Additional metrics reveal a 28% improvement in win rate during volatile sessions (like today’s 0.8% S&P futures slide) and a 2.5x edge over buy-and-hold benchmarks for the tracked tickers.

FAS, LABU, SOXL – Trading Results AI Trading Agent (3 Tickers),…

These outcomes validate Tickeron’s hypothesis: shorter ML time frames enhance timing accuracy by 22%, particularly in sectors like tech and semiconductors, where NVDA and TSLA saw intraday swings of up to 1.2% amid shutdown headlines.

Thriving in Today’s Market Headwinds: Government Shutdown Insights

As the fourth quarter kicks off with a U.S. government shutdown—the first since 2019—markets are signaling caution. Dow futures tumbled 234 points (0.5%) pre-market, while Nasdaq 100 contracts retreated 0.78%, reflecting investor concerns over stalled economic reports like nonfarm payrolls and potential fiscal drag on growth. High-growth tech stocks, a focal point for October opportunities, face added pressure as analysts eye delayed Fed signals. Yet, Tickeron’s AI agents excel in such turbulence: their FLMs integrate real-time news sentiment, flagging a 15% probability spike in downside volatility for the Magnificent Seven stocks (AAPL, GOOG, NVDA, MSFT, TSLA, and peers). In simulated shutdown scenarios from historical data, the agents preserved 92% of gains by pivoting to defensive shorts on SOXS and QID, underscoring their value for retail and institutional users seeking stability.

Empowering Traders with Tickeron’s AI Robots and Agents

At the heart of Tickeron’s ecosystem are its AI Robots and Agents, autonomous systems that execute trades, scan patterns, and optimize portfolios with human-like intuition. These tools, accessible via Tickeron’s bot trading platform, include virtual agents for backtesting handle everything from trend following to mean reversion.

A dedicated paragraph on Tickeron Agents: Tickeron’s AI Agents represent the pinnacle of adaptive intelligence, functioning as virtual co-pilots that learn from every tick of market data. Unlike static algorithms, these agents—detailed on Tickeron’s AI Agents page—employ reinforcement learning to refine strategies on-the-fly, achieving up to 35% better alpha in backtests versus traditional bots. They specialize in multi-asset orchestration, seamlessly switching between longs on bullish tickers like NVDA and shorts on overbought ones like SOXL, all while capping drawdowns at 5%. Ideal for today’s choppy waters, where a government shutdown amplifies noise, Tickeron Agents deliver context-aware alerts, empowering users to act decisively without emotional bias.

Follow Tickeron on X for live updates and trading insights: https://x.com/Tickeron.

Tickeron’s Suite of Cutting-Edge Products for Smarter Investing

Tickeron rounds out its offerings with a comprehensive suite of AI-powered tools designed to supercharge decision-making. The AI Trend Prediction Engine forecasts directional moves with 78% accuracy over 30-day horizons, while the AI Patterns Search Engine and AI Real-Time Patterns Scanner identify chart formations in seconds. Investors can leverage the AI Screener for custom filters, enhanced by the innovative Time Machine feature to replay historical scenarios. Rounding it out, Daily Buy/Sell Signals provide actionable alerts across 5,000+ stocks, with a proven 65% hit rate. All products integrate seamlessly with Tickeron’s agents, creating a unified platform for end-to-end trading excellence. Explore more at Tickeron.com.

CEO’s Vision for the Future of AI in Finance

“Tickeron has made the next breakthrough in the development of Financial Learning Models and their application in AI trading,” said Sergey Savastiouk, Ph.D., CEO of Tickeron. “By accelerating our machine learning cycles to 15 and even 5 minutes, we’re offering a new level of precision and adaptability that wasn’t previously achievable. In volatile times like today’s shutdown, our agents don’t just survive—they thrive, turning uncertainty into opportunity for every investor.”

Tickeron’s new AI Agents are now live and available to the public, supporting strategies across stocks, ETFs, and more. This launch advances Tickeron’s mission to democratize institutional-grade AI, leveling the playing field for traders worldwide.

For more information, visit www.tickeron.com.

Disclaimers and Limitations

Related Ticker: QQQ, SPY

Momentum Indicator for QQQ turns positive, indicating new upward trend

QQQ saw its Momentum Indicator move above the 0 level on October 24, 2025. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 76 similar instances where the indicator turned positive. In of the 76 cases, the stock moved higher in the following days. The odds of a move higher are at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Moving Average Convergence Divergence (MACD) for QQQ just turned positive on October 24, 2025. Looking at past instances where QQQ's MACD turned positive, the stock continued to rise in of 44 cases over the following month. The odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where QQQ advanced for three days, in of 380 cases, the price rose further within the following month. The odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 417 cases where QQQ Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Bearish Trend Analysis

The 10-day RSI Indicator for QQQ moved out of overbought territory on October 10, 2025. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 48 similar instances where the indicator moved out of overbought territory. In of the 48 cases, the stock moved lower in the following days. This puts the odds of a move lower at .

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 3 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where QQQ declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

QQQ broke above its upper Bollinger Band on October 08, 2025. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

Notable companies

The most notable companies in this group are NVIDIA Corp (NASDAQ:NVDA), Apple (NASDAQ:AAPL), Microsoft Corp (NASDAQ:MSFT), Alphabet (NASDAQ:GOOG), Alphabet (NASDAQ:GOOGL), Amazon.com (NASDAQ:AMZN), Meta Platforms (NASDAQ:META), Broadcom Inc. (NASDAQ:AVGO), Tesla (NASDAQ:TSLA), Netflix (NASDAQ:NFLX).

Industry description

The investment seeks investment results that generally correspond to the price and yield performance of the NASDAQ-100 Index®. To maintain the correspondence between the composition and weights of the securities in the trust (the "securities") and the stocks in the NASDAQ-100 Index®, the adviser adjusts the securities from time to time to conform to periodic changes in the identity and/or relative weights of index securities. The composition and weighting of the securities portion of a portfolio deposit are also adjusted to conform to changes in the index.

Market Cap

The average market capitalization across the Invesco QQQ Trust ETF is 345.51B. The market cap for tickers in the group ranges from 19.6B to 4.53T. NVDA holds the highest valuation in this group at 4.53T. The lowest valued company is GFS at 19.6B.

High and low price notable news

The average weekly price growth across all stocks in the Invesco QQQ Trust ETF was 20%. For the same ETF, the average monthly price growth was 59%, and the average quarterly price growth was 186%. ISRG experienced the highest price growth at 23%, while NFLX experienced the biggest fall at -9%.

Volume

The average weekly volume growth across all stocks in the Invesco QQQ Trust ETF was -0%. For the same stocks of the ETF, the average monthly volume growth was 7% and the average quarterly volume growth was -17%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 63
P/E Growth Rating: 48
Price Growth Rating: 45
SMR Rating: 47
Profit Risk Rating: 53
Seasonality Score: 48 (-100 ... +100)
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These past five trading days, the ETF lost 0.00% with an average daily volume of 0 shares traded.The ETF tracked a drawdown of 0% for this period.
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Category LargeGrowth

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