Tech Stocks Based on AI: Returns up to 19.19% in 3 Days
Chemical Stocks Stocks Based on Machine Learning: Returns up to 23.56% in 7 Days
Chemical Stocks Based on AI: Returns up to 35.14% in 14 Days
Chemical Stocks Based on AI: Returns up to 38.99% in1 Month
Quantum Stocks Based on AI: Returns up to 90.71% in 3 Months
SOXX Stocks Based on AI: Returns up to 182.75% in 1 Year
Eli Lilly and Company (LLY) is up 18.56% since October 19th, 2025,fueled by overwhelming demand for its GLP-1 drugs Mounjaro (diabetes) and Zepbound (weight loss), which drove explosive revenue growth, blockbuster milestones, and bullish guidance despite some pricing pressures. Key catalysts included strong Q3 2025 earnings reported late October (with massive beats on revenue and EPS from tirzepatide sales), a surge to $1 trillion market cap in November as the first pharma company to achieve that, sustained momentum into Q4 results in early February 2026 (revenue up 43% to $19.3B, Mounjaro/Zepbound combined ~$11.7B in Q4 alone, full-year 2025 revenue ~$65B up 45%), and very optimistic 2026 outlook ($80–83B revenue, EPS $33.50–35 implying >40% growth), plus positive developments like a Trump administration deal expanding access/lower prices for weight-loss drugs via Medicare channels, pipeline progress (e.g., oral GLP-1 orforglipron launch expected 2026), and market share gains over competitors like Novo Nordisk—outweighing concerns about future pricing headwinds or supply issues in investors' eyes.
Tenet Healthcare Corporation (THC) is up 19.69% since September 23rd, 2025,propelled by consistent operational strength in its high-margin ambulatory surgery centers (USPI segment), resilient hospital demand with higher patient acuity and favorable payer mix, multiple quarterly beats, margin expansion, robust free cash flow, and a blockbuster Q4 2025 earnings report on February 11, 2026, that triggered a massive single-day surge of about 17%. Key drivers included strong same-facility revenue growth (e.g., surgical revenues up significantly), disciplined cost controls, acquisitions and de novo expansions in outpatient services, full-year 2025 results showing $21.3 billion in revenue (up modestly but with $4.57 billion Adjusted EBITDA up 14% and margin at 21.4%), and optimistic 2026 guidance ($21.5–22.3 billion revenue, $4.485–4.785 billion Adjusted EBITDA implying continued growth despite some headwinds like expiring tax credits), outweighing minor concerns over potential future margin pressure—investors rewarded the company's strategic pivot to higher-margin outpatient care amid sustained post-pandemic healthcare demand.
Lam Research Corporation (LRCX) is up 141.97% since June 29th, 2025,driven by explosive demand for semiconductor wafer fabrication equipment tied to the AI boom, consistent quarterly earnings beats, record revenue and margins, upward revisions to guidance, and broader sector optimism around AI chip production and advanced node technologies. The rally accelerated from mid-2025 onward as AI-related spending by major foundries and memory makers intensified, boosting orders for Lam's etch, deposition, and other critical tools; key catalysts included strong Q4 FY2025 results (reported late July 2025) showing revenue up ~34% YoY to ~$5.17B amid AI-driven growth, followed by robust Q1/Q2/Q3 FY2026 performances (e.g., Q2 FY2026 in late January 2026 with revenue ~$5.34B beating estimates, EPS $1.27 vs. $1.17 expected, and strong forward guidance for sequential growth), full-year FY2025 revenue hitting a record ~$20.6B (up 27% YoY) with record gross margins near 50% and profitability highs. Additional tailwinds came from analyst upgrades (e.g., Goldman Sachs raising targets in early 2026 amid semiconductor strength), projections of wafer fab equipment (WFE) market growth to ~$135B in 2026, market share gains in this upcycle, and sustained AI/hyperscaler investments outweighing concerns like China exposure or cyclical risks—positioning Lam as a prime beneficiary of the AI semiconductor supercycle.
Special Webinar: I Know First AI Predictive Algorithm Names Its Top 20 Stock Picks For Next 4 Weeks
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
The AI Market Rotation Strategy from I Know First is an AI-driven trading approach that uses daily forecasts from their self-learning algorithm to rotate between SPY (S&P 500 market-cap weighted ETF) and RSP (S&P 500 equal-weighted ETF) for long or short positions based on bullish/bearish signals and which has the stronger signal, achieving strong outperformance over the S&P 500 from January 1, 2020, to February 4, 2026.
Overall performance: Delivered a cumulative 417.22% return, outperforming the S&P 500 by 285.58%, with a Sharpe ratio of 1.37 and Sortino ratio of 2.10.
Yearly highlights: Strong outperformance in challenging years like 2020 (+76.98%, +59.74% over S&P), 2022 (+2.49%, +20.67% over S&P), and especially 2025 (+39.99%, +22.27% over S&P), while slightly underperforming in bull years like 2021 and 2024.
Recent results: In 2026 (through February 4), generated +2.18% return, beating the S&P 500 by 1.06%, building on the strategy's backtested live evaluation period.
Methodology: Relies on I Know First's AI algorithm (incorporating machine learning, neural networks, genetic algorithms, and chaos theory/fractals) to produce bias-free, adaptive predictions across thousands of assets, enabling dynamic rotation to capture market-cap vs. equal-weight advantages in different regimes.
This strategy demonstrates the potential of AI-powered market timing and rotation to significantly enhance returns and risk-adjusted performance compared to passive S&P 500 exposure over the multi-year period analyzed.
I Know First Identified The Software Sector Collapse
I Know First highlights how their AI-powered predictive intelligence outperformed traditional hedge fund approaches by identifying bearish signals in the software sector on January 20, 2026, weeks before hedge funds reported $24 billion in aggregate profits from shorting software stocks as of February 4, 2026, amid a $1 trillion market cap decline in the sector driven by AI disruption fears to SaaS models.
Early AI signals: I Know First's Daily Stock Selection (DSS) forecasts issued negative signals on January 20, 2026, for key software names like Salesforce (CRM: -0.34 7-day), ServiceNow (NOW: -0.84 7-day, -1.88 14-day), Adobe (ADBE: -0.29 14-day), Broadcom (AVGO bearish bias), Oracle (ORCL), and ETFs such as XLK (-0.12 7-day) and XSW, with Predictability scores of 0.17–0.25.
Sector impact and declines: The software sector (e.g., IGV ETF down >21% YTD and >30% from September 2025 highs) suffered sharp drops, with specific stocks declining 11–25% from January 2 to February 4 peaks (e.g., ORCL -25.1%, NOW -24.7%, CRM -21.4%).
Hedge fund context: Hedge funds generated $24 billion in mark-to-market profits from short positions (per S3 Partners data reported via CNBC on February 4, 2026), capitalizing on the sell-off but reacting later than I Know First's forecasts allowed clients to position defensively or short ahead.
AI methodology advantage: The proprietary deep-learning algorithm uses pattern recognition, correlations, and unbiased probabilistic forecasts across thousands of assets and multiple horizons, providing faster, scalable intelligence without human bias or resource-heavy teams.
Client benefits and narrative: Clients following the signals avoided significant drawdowns (11–25% in key names) or captured alpha via shorts/tactical trades, demonstrating that predictive AI intelligence delivers a timing edge over capital-intensive hedge fund processes in turning market dislocations into actionable opportunities.
I Know First's AI is superior for foresight in volatile regimes like the 2026 software collapse, emphasizing that early, data-driven predictions can provide a competitive advantage beyond the scale and resources of traditional hedge funds.
How Can We Predict The Financial Markets Using Algorithms?
I Know First explains how financial markets, often dismissed as unpredictable due to randomness, can actually be forecasted to a meaningful extent by treating them as chaotic systems (not purely random) that exhibit complex, non-linear dynamics with both systemic patterns and noise, using advanced AI algorithms to uncover hidden rules and generate accurate predictions for thousands of assets.
Chaos theory foundation: Markets are chaotic rather than random, containing predictable systemic components alongside randomness; chaos theory, combined with insights from fractals and self-similarity, reveals underlying order that allows for valid forecasts despite sensitivity to initial conditions.
AI and machine learning integration: The I Know First predictive algorithm leverages artificial intelligence, machine learning, elements of artificial neural networks (for non-linear pattern recognition), and genetic algorithms (for evolving and optimizing models) to handle the complex, multifaceted interactions driving asset prices.
Algorithm workflow: It begins with analyzing and ranking input factors by predictive significance for a target price, then generates multiple models tested on 15+ years of historical data, retaining only the best performers while rejecting others; models are empirically refined daily with new data for continuous adaptation.
Bias-free and adaptive nature: As a purely empirical, self-learning system, it eliminates human bias, quickly adjusts to evolving market realities while preserving learned historical rules, and separates predictable signals from random noise across over 10,000–13,500 markets.
Predictive advantages: By projecting future trajectories in multidimensional market spaces and continuously validating against recent data to avoid overfitting, the algorithm provides scalable, unbiased forecasts that outperform traditional probabilistic or human-driven methods in capturing non-linear dynamics.
I Know First demonstrates that combining chaos theory with powerful AI techniques like neural networks and genetic algorithms enables reliable stock market predictions by exploiting the inherent, albeit complex, order within financial chaos rather than assuming pure unpredictability.
NVDA Forecast: The CUDA Ecosystem Behind NVIDIA’s AI Leadership
NVIDIA maintains its dominant leadership in the AI computing era primarily through its proprietary CUDA ecosystem, which has created a powerful software moat and lock-in effect for developers, fueling explosive data-center revenue growth (from ~$2 billion annually in the late 2010s to over $50 billion quarterly in fiscal 2026, comprising 85-90% of total revenue) and positioning the company as the indispensable backbone of global AI infrastructure.
CUDA overview and role: CUDA (Compute Unified Device Architecture) is NVIDIA's parallel computing platform and programming model that enables efficient GPU-accelerated general-purpose computing, particularly for AI, machine learning, and data processing workloads, shifting NVIDIA from a gaming-focused company to the leader in high-performance AI computing.
Historical evolution and advantages: Introduced to support emerging ML and data tasks, CUDA offers superior performance and efficiency over CPU-based systems or competitors' alternatives, with optimized libraries and frameworks that accelerate large-scale AI training/inference, simulation, robotics, and generative applications.
Moat and ecosystem lock-in: High switching costs arise from developer reliance on CUDA-optimized codebases, tools, and community (e.g., widespread adoption by cloud providers, research institutions, and enterprises), making migration to rivals like AMD or Intel prohibitively expensive and time-consuming, solidifying NVIDIA's competitive edge.
Revenue transformation and data: Data-center segment dominance (nearly 90% of revenue in 2026) reflects AI demand surge, with high-margin products driving EPS acceleration beyond revenue growth post-2023 slowdowns; ongoing investments in robotics, industrial AI, and partnerships further extend the ecosystem.
I Know First AI signals and forecasts: The company's algorithm shows bullish signals forNVDA, including mildly bullish short-term (light green) and strongly bullish longer-term (darker green) trends across horizons; a January 26, 2025 forecast highlighted NVDA as a top tech buy, delivering over 30.75% return in one year, reinforcing the positive outlook tied to CUDA-driven AI leadership.
NVIDIA's CUDA ecosystem represents a durable, structural advantage that sustains its AI supremacy, supports continued revenue and earnings momentum, and underpins I Know First's bullish AI-powered forecasts, making NVDA a compelling long-term investment in the expanding AI computing cycle.
Algorithmic Trading Using AI: Two Head Better Than One: Read Here:
CEO Weekly Letter
Dear Investors,
It has been a challenging week for the major averages, as we witnessed a broad market retreat. The S&P 500 slid 1.4%, marking its second consecutive losing week. The Dow followed with a 1.2% drop, and the Nasdaq notched a more significant 2.1% decline.
When the market shifts downward, the majority of traders are left reacting to losses. However, at I Know First, our predictive intelligence thrives in volatility by identifying the outliers that move against the trend.
Defying The Market Slide
While the indices were red, our neural networks and deep learning models identified specific assets poised for growth:
NRG (Energy): Jumped 6.5% on Friday and is up 10.6% since our 3-day forecast
Today, we hosted an insightful session on how to identify top stock picks for the month ahead using our AI. We dove deep into current market rotations, how to interpret signal vs. predictability for better results, and shared actionable strategies for the current volatility.
The market is moving fast. Ensure your portfolio is keeping up by leveraging the predictive power of AI.
Daily AI Forecasts (6 Time Frames): Actionable stock picks every day. → View All Pricing Plans
The AI-Powered Monthly Portfolio: Our latest rebalancing happened this past Wednesday, and the AI is already outperforming! → Enroll in the Monthly Portfolio
[LAST CHANCE] Access the 2026 Opportunity Report – Secure your strategic roadmap for the rest of the year. → Get The Report
Warm regards, Yaron Golgher CEO, I Know First
I Know First Most Popular Package Of The Week
Top 10 Stocks Forecast Package
Includes daily forecasts for:
Top 10 Stocks + S&P500 Forecast for long and short positions.
6 time ranges: 3 days, 7 days, 14 days, 1 month, 3 months and 1 year
Investment universe: US stocks.
Check some recent forecasts' performances: 3 Days, and 1 Month!
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.
