SOXX Stocks Based on AI: Returns up to 20.33% in 3 Days
Chemical Stocks Based on Machine Learning: Returns up to 17.20% in 7 Days
Top 10 Stocks Based on AI: Returns up to 20.74% in 14 Days
Top 10 Stocks Based on AI: Returns up to 34.06% in1 Month
SOXX Stocks Based on AI: Returns up to 66.19% in 3 Months
Top 10 Stocks Based on AI: Returns up to 301.41% in 1 Year
Emerson Electric Company (EMR) is up 12.50% since October 13th, 2025, driven primarily by renewed analyst optimism and strong underlying fundamentals in the industrial automation sector. The key catalyst was UBS's January 5, 2026, upgrade from Neutral to Buy with a significantly higher $168 price target, highlighting that temporary software business challenges were masking robust demand trends and paving the way for accelerated earnings growth, including a potential return to double-digit annual profit increases beyond 2026. This upgrade sparked a sharp intraday surge (up over 5% that day) and sustained momentum, bolstered by broader tailwinds like multi-year capital expenditure in infrastructure, electrification, energy management, and automation, along with Emerson's solid execution on margin expansion, free cash flow, and shareholder returns following its fiscal 2025 results. Additional positive analyst actions (e.g., Barclays raising its target) and improving technical indicators further supported the steady climb amid favorable macro trends in industrial spending.
GE Aerospace (GE) is up 16.86% since August 12th, 2025, stems primarily from explosive demand for power generation and grid infrastructure driven by surging electricity needs from AI data centers, hyperscalers, and broader electrification trends. The major catalyst was GE Vernova's December 9, 2025, Investor Update, where the company dramatically raised its multi-year outlook: forecasting $41–$42B in 2026 revenue (up significantly), $52B by 2028 with 20% adjusted EBITDA margins (from prior $45B and 14%), cumulative free cash flow of $22B+ through 2028 (up from $14B+), and expectations to nearly double its total backlog to ~$200B by 2028. It highlighted massive gas turbine momentum, with 18 GW of contracts signed in Q4 2025 alone and an anticipated 80 GW backlog (including slot reservations) by year-end, stretching into 2029, plus plans to ramp production to 20 GW annualized by mid-2026 and 24 GW by 2028. The company also doubled its quarterly dividend to $0.50 per share and boosted its share repurchase authorization to $10B from $6B, enhancing shareholder appeal. These bullish announcements triggered sharp rallies (e.g., +15–16% on December 10), followed by additional analyst upgrades and price target hikes (e.g., from Baird, Jefferies, Barclays, and others raising targets into the $800+ range, with some as high as $1,000), reflecting confidence in GE Vernova's positioning as a key beneficiary of the AI-driven power boom despite recent pullbacks from concerns like potential overcapacity and competition. Overall, the rise underscores robust execution amid unprecedented energy demand tailwinds.
Taiwan Semiconductor Manufacturing Co. Inc (TSM) is up 41.53% since July 14th, 2025, driven by robust AI-related growth and prompted upward revisions to full-year guidance, followed by an even stronger Q3 October 2025 report where revenue jumped ~41% year-over-year to a record $33.1 billion, profit surged 39%, and the company raised its 2025 revenue outlook to the mid-30% range (from ~30%) due to faster-than-expected AI accelerator demand from key clients like Nvidia. This momentum continued with consistently strong monthly revenues (e.g., record annual sales of NT$3.81 trillion for 2025, up 31.6% YoY), sustained high-performance computing (including AI) contributing over 50-60% of sales, capacity tightness in advanced nodes (3nm/5nm/2nm), and analyst upgrades (e.g., Goldman Sachs raising targets significantly on AI-driven capacity constraints through 2027). Broader tailwinds include massive AI infrastructure spending projections (trillions in data center capex), TSMC's pricing power, margin resilience near 50-60%, aggressive fab expansions (including in the US), and structural rather than cyclical AI growth, defying bubble concerns and positioning TSM for continued multi-year upside amid hyperscaler and tech giant investments. The stock's performance reflects growing market confidence in TSMC's irreplaceable role in the AI megatrend, with shares hitting multiple record highs in late 2025 and early 2026.
I Know First AI Predictive Algorithm Names Its Top 20 Stock Picks For 2026
What You’ll Learn
20 Top-Performing Stocks Selected by I Know First Advanced AI For 2026 The Top Investment Opportunities in the Stock Market
Special Report for 2026 Based on AI: Best S&P 500 Stocks, Top ETFs, Leading Aggressive Growth Stocks and Crypto stocks.
Uncover which Stocks the I Know First AI Identifies as The Best Picks For January 2026. AI-Powered Predictions For NVDA, RKLB, BTC/USD, SLV, and Many more.
Strategic Insights: Top U.S. Sectors & Stocks for 2026 Discover which sectors investors must focus on and the surprising “Mag 7” stock poised to lead the market.
Meet the Speakers
Yaron Golgher – CEO and Co-Founder of I Know First
I Know First's AI algorithm demonstrated strong predictive performance for AI companies stocks from September 1, 2024, to January 4, 2026, with long positions generating significantly higher returns than the S&P 500 benchmark across various time horizons, particularly in the 1-year outlook where the Top 5 signals achieved an average return of 81.24% compared to the S&P 500's 15.36%. The algorithm's hit ratio improved with longer horizons, reaching up to 85% for the Top 5 signals in the 1-year period, reflecting high confidence and directional accuracy in forecasting AI stock movements amid favorable market conditions.
Top 5 Signals Outperformance: Delivered the highest average return of 81.24% over the 1-year horizon, outperforming the S&P 500 by more than 5x (versus benchmark's 15.36% average return).
Consistent Positive Returns: Average returns were positive across all signal groups (e.g., Top 5, Top 10) and time horizons, with short-term examples like 1.80% in 14 days for Top 5 signals exceeding the S&P 500 by 1.05%.
Improving Hit Ratio Over Time: Hit ratios exceeded 50% in all cases, rising from lower levels in short-term horizons to 85% for the 1-year Top 5 signals, indicating the algorithm's increasing reliability for longer predictions.
Overall AI Advantage: The AI Companies Stocks package consistently beat the S&P 500 in most scenarios, highlighting the strength of I Know First's self-learning AI/ML model (using neural networks and genetic algorithms) in capturing AI sector trends without human bias.
This evaluation underscores the I Know First algorithm's effectiveness in identifying profitable opportunities in AI stocks, substantially outperforming the broader market and supporting its use for data-driven investment decisions.
The I Know First AI Portfolio, previously an institutional offering now available to retail investors, leverages advanced machine learning and quantitative analysis to identify high-potential stocks. Designed to deliver market-beating returns, this portfolio uses proprietary deep learning algorithms to create a monthly-rebalanced, long-only stock selection aimed at outperforming the market.
Since its inception, the I Know First AI Portfolio has achieved a +29.68%return, significantly surpassing the S&P 500’s +22.84% return, resulting in a +6.84% alpha. This performance highlights the portfolio’s ability to generate resilient investment strategies, even in volatile market conditions, showcasing the power of AI-driven investing.
The portfolio’s specific stock picks are exclusive to subscribers, ensuring the integrity of the signals and providing a competitive edge. Retail investors and experienced traders alike can access these institutional-grade tools by subscribing, gaining entry to the next AI-generated portfolio before the monthly rebalancing.
Imagine waking up on January 1, 2025, with a "Secret Report" listing top stocks like HOOD, GOOGL, SOFI, AVGO, CRWD, SLV, GLD, and NVDA—right before their huge gains. These delivered impressive 2025 YTD returns (as of mid-December):
HOOD (Robinhood): +233% YTD
WDC (Western Digital): +261% YTD
MU (Micron): +178% YTD
SLV (Silver): +158% YTD
PLTR (Palantir): +121% YTD
SOFI (SoFi Technologies): +89% YTD
GOOGL (Alphabet): +66% YTD
AVGO (Broadcom): +53% YTD
NVDA (Nvidia): +36% YTD
(This is just a partial list of winners.) We can't time-travel, but we can offer the next best thing:
I Know First AI. Your 2026 Roadmap — Our algorithms have mapped the next 12 months and just released the 2026 Opportunities Report—a full AI-driven guide to top stocks, ETFs, sectors, indices, FX, commodities, and crypto poised for big moves.Don't wait until 2027 to regret missing it. Get ahead now.
I Know First's Combined Long/Short Strategy, a tier-2 institutional service using their AI self-learning algorithm, delivered an impressive 566.30% cumulative return from January 1, 2020, to April 8, 2025, outperforming the S&P 500 by 514.08% over the same multi-year period (with strong Sharpe ratio of 1.42 and Sortino ratio of 2.04 for risk-adjusted performance). The strategy allocates across GICS Level 1 and Level 2 ETFs, top predictable stocks, and broad market exposure (e.g., SPY/OEF) with monthly rebalancing, focusing on the most promising bullish sectors/industries and predictable names based on the algorithm's signal and predictability filters, while incorporating long/short elements for balanced, market-neutral exposure with downside protection.
Portfolio Construction: 60% to the top 3 Level 1 sector ETFs, 10% to the top 2 Level 2 industry ETFs, 20% to the 5 most predictable individual stocks, and 10% to SPY or OEF based on overall signal strength.
Historical Outperformance: Achieved 566.30% total return (vs. S&P 500's much lower gain), demonstrating the AI algorithm's ability to capture non-linear market patterns through neural networks, genetic algorithms, and daily model refinement without human bias.
Risk Metrics: Delivered a high Sharpe ratio of 1.42 (return per unit of total risk) and Sortino ratio of 2.04 (return per unit of downside risk), indicating strong performance relative to volatility and drawdowns.
Recent Context (2025 Update): In the December 2025 update, the Combined Long/Short Strategy posted 27.2% YTD returns (outperforming S&P 500 by 9.5 points and major hedge funds), showing continued strength in a market-neutral format amid AI-driven trends.
This combined long/short approach highlights the enduring effectiveness of I Know First's empirical, self-adapting AI algorithm in generating superior, risk-managed returns for institutional investors across extended periods, even as more recent 2025 results reinforce its competitive edge over traditional benchmarks.
Less Than 24 Hours Left: The 2026 Report Drops Tomorrow
Dear Investors,
Last week, we pulled back the curtain on the year ahead.
We hosted a Special One-Time Webinar where the I Know First AI Predictive Algorithm revealed its Top 20 Stock Picks for 2026. From the "Magnificent 7" leader for the next 12 months (spoiler: it’s Nvidia) to the commodities set to outperform, we covered it all.
If you missed the live event, you can watch the replay here:
You have less than 24 hours to take advantage of the exclusive Webinar Deals before they expire.
The 2026 Opportunity Report arrives tomorrow.
In less than 24 hours, our subscribers will receive the Stock Market Forecast Based on Artificial Intelligence for 2026. This is the roadmap you need to navigate the coming year.
Why trust the AI for 2026? Look at the 1-Year Winners from our previous forecasts:
The algorithm has consistently identified explosive opportunities a full year in advance. Just look at these verified returns from our 1-year forecast packages:
Crypto & Tech Winners: IREN (+301%), CIFR (+207%), and CVNA (+127%) See The Forecast Here:
S&P 500 Outperformers: PLTR (+160%), GOOGL (+69%), and EXPE (+62%) See The Forecast Here:
AI & Security Picks: KTOS (+292%), NET (+58%), and SHOP (+53%) See The Forecast Here:
Apple's stock outlook heading into 2026 reflects a cautious yet potentially rewarding strategy across AI, supply chain stability, and regulatory challenges. The company is adopting a restrained approach to AI spending amid signs of a market bubble, preserving over $130 billion in cash for possible acquisitions while preparing a major Siri overhaul—likely powered by Google's Gemini—to enhance conversational capabilities and multi-step tasks, leveraging its integrated iPhone ecosystem as a key advantage over competitors. On tariffs, Apple secured an 18-month reprieve keeping Chinese semiconductor import rates at zero percent until mid-2027, avoiding immediate cost increases for critical components despite ongoing reliance on Chinese suppliers. Meanwhile, Apple is appealing a £1.5 billion UK fine over allegedly excessive App Store commissions of up to 30%, arguing the fees support platform safety and privacy for 36 million users, with consumer payouts at stake if the appeal fails. Overall, these developments position Apple to capitalize on prudence in AI while navigating trade and antitrust risks.
