Go to the list of all blogs
Serhii Bondarenko's Avatar
published in Blogs
Apr 06, 2026
TickeronGET DAILY SIGNALS
+strong performance While S&P 500 Lost -7.81%: How to Trade Gold Miners, Silver Miners & Infrastructure During War and Market Turmoil With AI Robots

+strong performance While S&P 500 Lost -7.81%: How to Trade Gold Miners, Silver Miners & Infrastructure During War and Market Turmoil With AI Robots

Tax Day Sale — 75% Off Until April 15: Access AI Robots, Signals & Market Tools | Explore Trending Robots

Overview

While the S&P 500 (SPY) has shed -7.81% this quarter and QQQ dropped another -3.35% last week, a new generation of AI-powered trading robots at Tickeron is posting returns that make the bear market almost irrelevant. The AI Trading Multi-Agent (13 Tickers, 60min) — covering Gold Miners, Silver Miners, and Infrastructure — delivered a stunning +56.73% annualized return with a 55.91% win rate and a 1.68 profit factor, generating an average of $3,073 per completed trade cycle. In a market rocked by the Persian Gulf conflict, hawkish Fed signals, stagflation fears, and a strong dollar, this robot’s sector focus is not just timely — it may be exactly right. Gold recently touched $4,700/oz with Goldman Sachs holding a $5,400 target, and silver is being propelled by surging demand from solar energy and AI data centers. This robot captures that momentum algorithmically, 24/5, without emotion or hesitation.

Key Takeaways

  1. +56.73% Annualized Return — The 13-Ticker Multi-Agent dramatically outperformed every major index this quarter while SPY lost nearly 8%.
  2. 55.91% Win Rate & 1.68 Profit Factor — More than half of all trades are winners, and every dollar risked generates $1.68 in return on average.
  3. Diversified Across 13 Tickers — Gold miners, silver miners, and infrastructure ETFs provide sector breadth and natural hedging within the commodities complex.
  4. 60-Minute Signal Frequency — Hourly signals offer frequent opportunities without the noise and transaction costs of ultra-short-term scalping.
  5. Emotion-Free AI Execution — Tickeron’s Financial Learning Models eliminate panic selling and FOMO buying — the two biggest destroyers of retail returns.

Market Context & Ticker Insights

Markets in April 2026 are navigating one of the most complex macro environments in years. The Persian Gulf conflict has disrupted approximately 20% of global energy supply via the Strait of Hormuz, driving energy costs up roughly 40% and squeezing corporate margins across sectors. SPY closed the week of March 23–27 at 634.09 (down from 648.57 the prior week, -2.23%), while the DIA shed -0.99% and IWM managed just +0.36%. For the full quarter, SPY is down -7.81% — a painful stretch for buy-and-hold investors.

Meanwhile, precious metals and miners are asserting remarkable strength. Gold hit $4,700/oz on ceasefire signals, with central banks raising their gold share of global official reserves from 6% in 2008 to nearly 13% by end-2024. GDX (VanEck Gold Miners ETF) has delivered over Strong performance in the past year, trading between a 52-week range of $40.26 and $117.18. GDXJ (Junior Gold Miners) offers higher-beta amplification of gold’s moves. On the silver side, SIL (Global X Silver Miners) and SILJ benefit from the fact that industrial uses account for roughly 59% of silver demand — driven increasingly by solar panels and next-generation data centers. Infrastructure tickers complete the portfolio, offering ballast and upside as governments globally accelerate power grid and defense spending in response to energy disruption.

Robot Strategy & Key Mechanics

The Gold Miners, Silver Miners & Infrastructure 13-Ticker Multi-Agent (60min) operates as a coordinated system that simultaneously monitors 13 tickers spanning three correlated sectors. Here is how it works in practice:

  • Signal Generation: Every 60 minutes, the agent scans price action, volume, momentum, and inter-sector correlations across all 13 tickers, generating buy/sell signals based on pattern recognition trained on years of mining and infrastructure market data.
  • Position Sizing: Capital allocation is dynamic, scaled to signal confidence — reducing exposure in choppy markets and increasing size when high-probability setups emerge.
  • Stop-Loss Architecture: Built-in risk controls cap drawdown per trade. The average holding period of just 4.40 days is long enough to capture meaningful trending moves but short enough to exit before reversals compound.
  • Sector Rotation Logic: Unlike single-ticker robots, this agent rotates between gold, silver, and infrastructure in real time as macro catalysts shift — maximizing the probability of being in the strongest sub-sector at any given time.
  • Track Record: $3,073.06 average P&L per completed trade cycle confirms the system is not just winning frequently — it is winning with meaningful size.

Tickeron’s FLMs & CEO Vision

At the core of every Tickeron robot are Financial Learning Models (FLMs) — Tickeron’s proprietary AI architecture purpose-built for financial markets. Unlike static rule-based algorithms, FLMs continuously learn from new market data, adapting their pattern recognition in near real-time. Tickeron has recently expanded its computing infrastructure significantly, enabling FLMs to react faster to market-moving events and retrain more frequently. This upgrade powered the launch of new 15-minute and 5-minute agent timeframes, giving traders unprecedented precision in fast-moving markets like today’s.

Sergei Savastiouk, Ph.D., CEO of Tickeron, has built his company around a singular mission: putting institutional-grade AI tools into the hands of retail traders. As Savastiouk explains, FLMs allow Tickeron to integrate AI with technical analysis so that traders can spot patterns more accurately and make better-informed decisions. His vision centers on eliminating the two costliest forces in retail trading: emotional bias and information asymmetry. Beginner-friendly robots and high-liquidity stock robots provide real-time insights with full transparency and control — even in fast-moving markets. Explore the full lineup of AI robots at Tickeron Trending Robots and access all virtual agents at Tickeron AI Robots — All Virtual Agents.

Summary & AI Forecasts

The Gold Miners, Silver Miners & Infrastructure 13-Ticker Multi-Agent is purpose-built for exactly the market environment of Q2 2026: volatile, geopolitically driven, and increasingly favorable to hard assets over paper equities. With a +56.73% annualized return, 55.91% win rate, and 1.68 profit factor, it has demonstrated a compelling ability to generate consistent alpha even as traditional indices lose ground.

AI forecasts point to continued favorable conditions for this strategy: sustained gold prices above $4,500/oz driven by central bank accumulation and de-dollarization trends; accelerating silver demand from solar and data center expansion through 2026–2027; infrastructure spending as governments respond to energy disruption and defense imperatives; and continued S&P 500 volatility creating attractive sector-rotation entry points. Traders should closely watch GDX, GDXJ, SIL, and SILJ as core signal tickers. The robot’s 60-minute cadence makes it ideal for traders who want active management without being chained to screens all day.

Now through April 15 (Tax Day): Daily Signals from just $5/month ($60/yr, save 70%), and full AI Robot access with Machine Learning 60min, 15min & 5min from $45/month ($540/yr, save 50%). Claim your discount now.

Risks & Important Disclaimer

  • Market Volatility Risk: Mining stocks and infrastructure ETFs can swing 5–15% in a single session. The current Persian Gulf conflict and Fed policy uncertainty significantly amplify this risk.
  • Commodity Price Dependence: If gold or silver prices reverse sharply — as occurred in early April 2026 with gold dropping 2.7% in one session — mining stocks can fall even harder due to operating leverage.
  • Geopolitical & Currency Risk: A strengthening U.S. dollar, driven by hawkish Fed signals, can suppress gold and silver prices and negatively impact robot performance in this sector cluster.
  • AI Model Limitations: FLMs are trained on historical patterns and may underperform during unprecedented market events or structural regime changes not yet reflected in their training data.
  • Past Performance Risk: The +strong performance reflects historical results. Markets are dynamic, and similar performance is not assured in future periods.

 

Disclaimer: The information on this page is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. This is for educational and informational purposes only. It is not financial advice. Past performance does not assure future results. Always do your own research or consult a licensed advisor. Prices can go down as well as up. For more details, please review our full Disclaimers and Limitations.

Related Ticker: SPY, QQQ, GDX

Contributor

Serhii Bondarenko is an AI-focused trading strategist and financial markets analyst specializing in the development and application of AI trading bots and autonomous trading agents. His work combines technical analysis, fundamental analysis, and quantitative research to identify market patterns, forecast price movements, and analyze liquidity, volatility, and correlations across global stock markets. Serhii actively publishes market insights, forecasts, and trading frameworks on platforms such as Investing.com and Finextra, with a strong focus on AI-driven decision-making and next-generation algorithmic trading. His research aims to bridge the gap between traditional trading methodologies and advanced artificial intelligence, helping traders and investors navigate complex and rapidly evolving market conditions.


SPY in upward trend: price expected to rise as it breaks its lower Bollinger Band on November 05, 2026

SPY may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In 34 of 37 cases where SPY's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 39 of 44 cases where SPY's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 89%.

Following a +2.69% 3-day Advance, the price is estimated to grow further. Considering data from situations where SPY advanced for three days, in 291 of 353 cases, the price rose further within the following month. The odds of a continued upward trend are 82%.

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on October 29, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SPY as a result. In 65 of 77 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 84%.

The Moving Average Convergence Divergence Histogram (MACD) for SPY turned negative on October 15, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 51 similar instances when the indicator turned negative. In 36 of the 51 cases the stock turned lower in the days that followed. This puts the odds of success at 71%.

SPY moved below its 50-day moving average on November 05, 2026 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for SPY crossed bearishly below the 50-day moving average on October 30, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 11 of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 73%.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where SPY declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 76%.

The Aroon Indicator for SPY entered a downward trend on November 10, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

Notable companies

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

Industry description

The investment seeks to provide investment results that, before expenses, correspond generally to the price and yield performance of the S&P 500® Index. The trust seeks to achieve its investment objective by holding a portfolio of the common stocks that are included in the index (the “Portfolio”), with the weight of each stock in the Portfolio substantially corresponding to the weight of such stock in the index.

Market Cap

The average market capitalization across the State Street SPDR S&P 500 ETF (SPY) ETF is 150.44B. The market cap for tickers in the group ranges from 7.11B to 5T. AAPL holds the highest valuation in this group at 5T. The lowest valued company is MOS at 7.11B.

High and low price notable news

The average weekly price growth across all stocks in the State Street SPDR S&P 500 ETF (SPY) ETF was 49%. For the same ETF, the average monthly price growth was 49%, and the average quarterly price growth was 407%. APP experienced the highest price growth at 61%, while FIS experienced the biggest fall at -27%.

Volume

The average weekly volume growth across all stocks in the State Street SPDR S&P 500 ETF (SPY) ETF was -10%. For the same stocks of the ETF, the average monthly volume growth was 2% and the average quarterly volume growth was -24%

Fundamental Analysis Ratings

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

Valuation Rating: 70
P/E Growth Rating: 51
Price Growth Rating: 39
SMR Rating: 50
Profit Risk Rating: 57
Seasonality Score: 17 (-100 ... +100)
Paper Trades 3
View a ticker or compare two or three
Interact to see
Advertisement
A.I.Advisor
published price charts
Interact to see
Advertisement
AtlasClear Holdings (ATCH) shares fell roughly 25.5% over the last 30 days, declining from $0.1881 on October 2 to $0.1401 on October 30. The pullback extended a longer downtrend that has kept the stock trading well below the $1.00 NYSE American minimum, keeping continued listing-compliance risk in focus.
The central target of $1,620 is the arithmetic mean of verified, current analyst price targets, rounded to a clean level; it is not a single firm's forecast or a guarantee. At a recent price of about $690 , reaching $1,620 would require a gain of roughly 135% , a very large move by any standard.
NVDA fell -2.10% to $216.66 during regular trading, down from a prior close of $221.30. Primary catalyst: hotter-than-expected September CPI data reignited Fed rate-hike fears, raising borrowing costs for AI infrastructure buildouts.
XRPN fell -9.70% in early regular-session trading on Tuesday, sliding from Monday's $10.41 close to $9.40. The decline follows a November 9 SEC prospectus disclosing a committed equity facility with Cantor to sell up to 5.2 million new Class A shares at 97% of the volume-weighted average price, implying up to roughly 16.7% potential dilution.
The $1.14 central target is not an analyst consensus; it is the all-cash merger consideration in GoPro, Inc. (GPRO) 's pending deal with Starman Optical, agreed in September 2026. With the stock trading near $0.88, reaching $1.14 would require a move of roughly 29.5%.