Transportation Stocks Based on AI: Returns up to 24.87% in 3 Days
Transportation Stocks Based on Machine Learning: Returns up to 34.92% in 7 Days
S&P 500 Stocks Based on AI: Returns up to 28.42% in 14 Days
SOXX Stocks Based on AI: Returns up to 29.64% in1 Month
Quantum Stocks Based on AI: Returns up to 66.53% in 3 Months
Implied Volatility Options Based on AI: Returns up to 245.91% in 1 Year
Walmart Inc (WMT) is up 12.32% since December 14th, 2025, since mid-December 2025 (from closing levels around $111–$112 on or near December 14–15, 2025, to roughly $131 by early February 2026), propelled by accelerating momentum in its digital transformation, resilient consumer demand, and landmark market milestones that have solidified its re-rating as a high-growth tech-infused retailer. The rally intensified after Walmart's December 9, 2025, switch from the NYSE to Nasdaq—symbolizing its evolution into a digital powerhouse—followed by its January 2026 inclusion in the tech-heavy Nasdaq-100 Index (replacing AstraZeneca), which triggered mechanical buying and broader investor enthusiasm; this perception shift was reinforced by explosive e-commerce growth (27% in fiscal Q3 reported November 2025), a 53% jump in Walmart Connect advertising revenue, AI partnerships with OpenAI/ChatGPT and Google Gemini for enhanced shopping experiences, and strong holiday performance drawing higher-income shoppers amid inflation pressures. The culmination came on February 3, 2026, when Walmart became the first pure retailer to reach a $1 trillion market capitalization, with shares up over 14% year-to-date in 2026 (far outpacing the S&P 500's modest gains), reflecting sustained confidence in its omnichannel dominance, faster delivery reaching 95% of U.S. households in under three hours, private-label strength, and consistent earnings beats that raised full-year guidance for 4.8–5.1% sales growth. This performance builds on Walmart's 2025 outperformance (up ~25–28% that year), where defensive stability, membership gains via Walmart+, and high-margin "alternative profit flywheel" businesses turned economic headwinds into opportunities, positioning the stock as a standout in consumer staples during a cautious market environment.
Alphabet, Inc (GOOGL) is up 28.10% since September 18th, 2025, fueled by a potent mix of resolved legal overhangs, accelerating AI momentum, robust core business growth, and market re-rating as investors embraced its leadership in generative AI. The rally gained significant traction following a pivotal September 2025 antitrust ruling by Judge Amit Mehta, which allowed Google to retain control of its Chrome browser and Android OS without forced divestitures—removing a major existential risk that had weighed on the stock and sparking a sharp multi-day surge (including a 9% jump on related news earlier in the month). Momentum built through late 2025 with the launch and strong reception of advanced Gemini models (culminating in Gemini 3), which boosted investor confidence in Alphabet's AI positioning, drove record search query volumes via AI-enhanced features without cannibalizing ads, and accelerated Google Cloud's explosive growth (48% revenue increase to $17.7 billion in Q4 2025, with surging AI infrastructure demand). Additional tailwinds included Berkshire Hathaway's reported stake in November 2025, steady advertising recovery (Search up 17% in Q4), YouTube's $60+ billion annual revenue milestone, subscription gains, and overall earnings beats that lifted full-year guidance and supported a dividend initiation—pushing the stock to new highs in early 2026 (peaking near $344–$349) before a pullback on aggressive $175–$185 billion 2026 capex plans for AI infrastructure. This performance extended Alphabet's 2025 dominance (up ~65% for the full year, its best since 2009), as the company shifted from perceived AI laggard to frontrunner amid easing antitrust fears and tangible monetization from AI investments.
Advanced Micro Devices (AMD) is up 46.89% since June 29th, 2025, driven by explosive momentum in its AI and data center businesses, strategic product launches, major partnerships, and investor enthusiasm for its growing challenge to Nvidia in the generative AI accelerator market. The rally accelerated through the second half of 2025 following AMD's Advancing AI event in June, where it unveiled the Instinct MI350 series GPUs (ahead of schedule for mid-2025 shipments), highlighting superior performance, efficiency, and scalability for GenAI workloads; this built on the MI300/MI325X ramp, with volume production of MI325X starting in Q4 2025 and delivering leadership in inference/training benchmarks, price advantages (e.g., rumored 70% ASP hikes for MI350 to ~$25K while staying below Nvidia equivalents), and new customer wins including large-scale deployments. Key catalysts included blockbuster partnerships like the multi-year OpenAI deal (announced late 2025 for 6 GW of AMD GPUs, promising "tens of billions" in revenue starting mid-2026 with MI450/Helios ramp), hyperscaler adoptions (e.g., Meta, Microsoft, Oracle interest in MI300X/MI325X), and record Data Center segment growth—fueled by EPYC server CPU demand (near sold-out for 2026, creating pricing power) and Instinct GPU sales exceeding $5B in FY2025, pushing AI revenue forecasts toward $14–$15B in 2026. Strong Q4 2025 earnings (revenue up 34% to ~$10.27B, beats on top/bottom lines, raised guidance) and analyst upgrades further propelled the stock, with Cathie Wood/Ark buying dips and broader market re-rating AMD as a legitimate AI powerhouse amid easing concerns over software ecosystem and scalability. Despite some volatility (e.g., post-earnings pullbacks on capex or guidance expectations), the performance extended AMD's 2025 dominance (up ~75–93% for the year in various measures), reflecting confidence in its full-stack AI roadmap (MI350/MI450 ramps) and ability to capture meaningful share in the booming AI accelerator market.
The I Know First AI-powered forecasting algorithm significantly outperformed the S&P 500 benchmark in predicting mid-cap stock returns, achieving an average outperformance of 32.52% over a 1-year horizon from October 1, 2024, to January 28, 2026, with the Top 10 Signals delivering the highest average return of 47.88%. The AI system, utilizing artificial neural networks and genetic algorithms, provided daily predictions across various time horizons, consistently showing positive returns and higher directional accuracy (hit ratios up to 71% for longer horizons) compared to the benchmark.
Key Performance Highlight: The Top 10 Signals on a 1-year horizon generated an average return of 47.88%, beating the S&P 500 by 32.52%.
Evaluation Period: Backtested live forecasts from October 1, 2024, to January 28, 2026, across multiple horizons (e.g., 14 days to 1 year).
Short-Term Example: For the 14-day horizon, Top 5 Signals averaged 1.44% returns, outperforming the S&P 500's 0.75% by 0.69% (nearly double the benchmark).
Overall Strength: The algorithm delivered positive average returns in most signal groups and horizons, with increasing outperformance over longer periods and high predictability/confidence metrics.
I Know First's AI demonstrates robust, data-driven predictive power for mid-cap stocks, reliably surpassing the S&P 500 by avoiding human biases across varied market conditions.
I Know First Webinar: Sunday, February 15th 11AM EST
Special Webinar: I Know First AI Predictive Algorithm Names Its Top 20 Stock Picks For February
What You’ll Learn
Identifying Top Stock Opportunities with Artificial Intelligence: Our AI algorithm highlights the most promising U.S. stocks expected to move in February.
25 Key Stocks from the Leading Sectors of 2026: Discover top AI-selected aerospace & defense stocks, alongside opportunities in semiconductors, mining, energy, and AI companies for the coming quarter.
Live Forecasts for the Market’s Most Traded Stocks: Real-time AI-based outlooks for NVDA, INTC, MRNA, AMD
Is 2026 the year of Bitcoin? Which commodity will lead, and what are the updated forecasts for gold and silver
Meet the Speakers
Yaron Golgher – CEO and Co-Founder of I Know First
I Know First's AI system generated clear bearish Daily Stock Selection (DSS) signals on leading software names such as Salesforce (CRM), Oracle (ORCL), ServiceNow (NOW), Adobe (ADBE), Broadcom (AVGO), and sector ETFs (XLK, XSW) starting as early as January 20, 2026, featuring negative signal strengths (e.g., -1.88 for NOW on 14-day horizon) and solid predictability/confidence scores in the 0.17–0.25 range.
The software/SaaS sector suffered a violent collapse fueled by investor fears that generative AI would automate and replace core workflows traditionally handled by subscription-based software, resulting in an estimated $1 trillion wipeout in market value and individual stock declines of 11–25% from their January 2, 2026 peaks through February 4, 2026.
Hedge funds aggressively shorted the sector in the late January–early February window, ultimately booking approximately $24 billion in aggregate profits from these positions (according to S3 Partners data cited by CNBC on February 4, 2026), turning the AI-driven disruption narrative into one of the most profitable crowded trades of the period.
I Know First's predictive model delivered unambiguous, data-driven warnings weeks in advance of the hedge-fund pile-in and the bulk of the sell-off, allowing subscribers to de-risk portfolios, sidestep major drawdowns (e.g., 21–25% losses in ORCL, NOW, and others), or establish defensive/short exposures before the move became consensus.
The piece contrasts I Know First’s scalable, unbiased, machine-learning pattern recognition—free of human emotion, groupthink, or high-cost analyst overhead—with traditional hedge-fund workflows that rely on meetings, expensive alternative data, and slower consensus formation, positioning AI foresight as a decisive structural advantage in fast-moving dislocations.
I Know First’s AI spotted the generative-AI threat to legacy software business models and issued actionable bearish signals well ahead of the hedge-fund $24 billion windfall, proving that predictive intelligence can deliver a meaningful timing edge over even the most capital- and resource-intensive Wall Street strategies. Read More:
AI-Powered Portfolio Beating S&P 500 by 2%: Not Too Late To Join
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.
The Stock Market Is Changing: It's Time For Thoroughness Stock Picking
I Know First was declared the winner of the prestigious competition titled “Fintech Technologies and Digital Solutions in the Investment World – The Future is Already Here,” organized by Fintech.IL and the Harel Center for Capital Market Research, with the announcement made on January 24, 2023.
The competition spotlights innovative fintech firms transforming the investment sector, offering winners enhanced exposure, potential financing avenues, and opportunities to implement their technological solutions in real-world capital markets.
I Know First distinguished itself through its proprietary AI algorithm, which delivers daily predictive forecasts for over 13,500 assets—including stocks, ETFs, indices, commodities, and currency pairs—across 50 global markets, leveraging neural networks, genetic algorithms, and machine learning to uncover non-obvious patterns and generate high-confidence signals for short-, medium-, and long-term horizons.
The company holds an official investment advisory license from the Israeli Securities Authority and maintains partnerships with major institutional clients such as hedge funds, banks, and insurance companies, underscoring the practical credibility and scalability of its technology.
CEO and co-founder Yaron Golgher celebrated the win as validation of I Know First’s AI-driven value proposition, emphasizing the firm’s pride in leading the transformation of investment decision-making by democratizing advanced, unbiased predictive intelligence for both institutional professionals and retail investors.
This 2023 fintech competition victory positions I Know First as a recognized leader in AI-enhanced investment tools, affirming the competitive edge of its machine-learning forecasting system in reshaping how the financial world identifies opportunities and manages risk.
Algorithmic Trading Using AI: Two Head Better Than One: Read Here:
CEO Weekly Letter
Dear Investors,
The market is currently undergoing a violent structural shift, and if you are only watching the major indices, you are missing the real story. While the S&P 500 posted a slight 0.1% decline and the Nasdaq fell 1.8% this week, the Dow surged 2.5%. This rotation into economically cyclical stocks occurred even as tech faced a brutal several-day sell-off.
But here is what the mainstream media is just now starting to report: Hedge funds have already pocketed $24 billion in profits by shorting the software sector so far in 2026. While Wall Street "vultures" were busy unwinding $1 trillion in software market value, I Know First investors had a massive head start.
The "Software Collapse" We Saw Coming
The epicenter of the tech sell-off has been driven by a sudden "AI disruption fear"—the concern that Agentic AI tools will render traditional software business models obsolete. Giants like ServiceNow remained weak on Friday, despite a recovery pop in other tech areas.
I Know First AI identified this negativity over the software sector on January 20th—weeks before the massive hedge fund profits were reported!
The market is shifting. Are you using the same tools as everyone else, or are you looking at the predictive signals that identify the next opportunity?
[SPECIAL INVITATION] Join Our Next Webinar: Learn how our AI identifies these sector rotations before they become headlines.
Apple's recent developments in February 2026 highlight ongoing ecosystem enhancements and strategic manufacturing choices. The company updated its Apple Sports app to version 3.7 on February 4, adding comprehensive coverage for all PGA and LPGA golf tournaments with live leaderboards, real-time updates, widgets, and Live Activities, while expanding soccer support to include major European cups like Copa del Rey, Coppa Italia, Coupe de France, and DFB-Pokal; backend code analysis indicates that the forthcoming version 3.8 will further broaden football coverage by incorporating six prominent South American leagues—Brazilian Serie A, Argentine Primera División, Colombian Primera A, Ecuadorian Serie A, Peruvian Primera División, and Chilean Primera División—available on iPhones in supported countries such as the US, UK, Canada, and parts of Europe. On the hardware front, Apple is opting for TSMC's standard 2-nanometer N2 process rather than the more advanced (but costlier and modestly incremental) N2P variant for its upcoming A20 (expected in fall 2026 iPhones) and M6 chips (for redesigned MacBook Pros with OLED displays later this year), prioritizing lower production costs, sufficient performance improvements through architectural refinements, and better supply availability amid potential timing and capacity constraints for N2P, even as competitors like Qualcomm and MediaTek pursue the upgraded node for higher clock speeds. Complementing these efforts, Apple launched its first Education Hub in Bengaluru, India, in collaboration with the Manipal Academy of Higher Education, to train supplier employees (starting with Tata Electronics) in digital literacy, Swift programming, robotics, automation, and smart manufacturing; this initiative expands development courses to over 25 supplier facilities nationwide, is supported by Apple's $50 million global Supplier Employee Development Fund, and includes plans to grow robotics education and vocational training for persons with disabilities, underscoring Apple's deepening investment in India's supply chain workforce and local manufacturing capabilities.
