Top 10 Stocks Based on AI: Returns up to 31.53% in 3 Days
Consumer Discretionary Stocks Based on Machine Learning: Returns up to 5.64% in 7 Days
Retail Stocks Based on AI: Returns up to 36.52% in 14 Days
Healthcare Stocks Stocks Based on AI: Returns up to 32.20% in1 Month
Tech Giants Based on AI: Returns up to 101.91% in 3 Months
High P/E Stocks Based on AI: Returns up to 253.72% in 1 Year
Eli Lilly and Company (LLY) is up 31.00% sinceOctober 19th, 2025,propelled by the announcement of positive Phase 3 clinical trial results for its oral GLP-1 drug orforglipron in early October, which demonstrated strong efficacy in diabetes management and weight loss, reinforcing the company's leadership in the booming cardiometabolic therapy market and boosting investor confidence in its pipeline expansion beyond injectables like Mounjaro and Zepbound. This momentum was further amplified by a strategic drug-pricing agreement with Novo Nordisk and the Trump administration, slashing U.S. prices for key weight-loss drugs in exchange for tariff relief and broader Medicare/Medicaid access, alleviating regulatory pressures while highlighting sustained demand; bullish analyst upgrades, including buy signals from pivot bottoms around October 21, and robust international sales—such as Mounjaro becoming India's top-selling drug by value in October—have compounded the rally, with shares hitting an all-time high of $1,025.28 on November 14 amid calming volatility and favorable technical indicators like upward-trending Bollinger Bands and a retreating RSI from overbought levels.
Broadcom Inc. (AVGO) is up 22.77% since July 14th, 2025, driven by key performance achievements. Over the past five years, revenue has more than doubled from $23.9B in FY2020 to $57B in the latest twelve months (May 2025), powered by two major shifts: the transformative $69B acquisition of VMware in late 2023, which added roughly $18B of recurring, high-margin infrastructure software revenue and pushed software to ~40% of the total mix, and explosive growth in custom AI networking silicon (especially high-performance Ethernet switches and for large-scale AI data centers. Gross margins have expanded from 73% to 77% as the company focuses on premium custom chips and subscription software, while operating margins and net income are rebounding sharply after temporary VMware-related amortization and integration costs weighed on 2024 results. The balance sheet remains solid, with net debt/EBITDA below 2× despite added leverage from the acquisition, and strong EBITDA growth supports ongoing debt reduction and dividend increases. Strategically, Broadcom continues to invest heavily in niche, high-value semiconductor franchises (RF, optics, 100T+ Ethernet) while selectively acquiring mature, cash-rich software assets with sticky customer bases and significant cost-synergy potential. This dual-engine modelcombining leadership in AI connectivity hardware with a growing portfolio of high-margin, recurring softwarehas positioned Broadcom as one of the primary beneficiaries of the ongoing AI build-out and enterprise cloud transformation.
Alphabet Inc (GOOGL) is up 18.90% since September 18th, 2025, fueled bydriven primarily by robust investor enthusiasm for its accelerating artificial intelligence (AI) integrations and cloud infrastructure expansions, which have fueled better-than-expected revenue growth across key segments. A pivotal catalyst was the mid-September 2025 U.S. antitrust ruling on Google's search monopoly, which imposed remedies like banning exclusive default deals but allowed non-exclusive payments to partners such as Apple—far milder than feared structural breakups, alleviating regulatory overhang and sparking an immediate rally. This momentum carried into Alphabet's Q3 2025 earnings release in late October, where revenue jumped 16% year-over year to over $100 billion for the first time, with Google Cloud growing 32% to $13.6 billion (boosted by AI workloads and a $106 billion backlog) and search ads up 13% thanks to AI features like Generative Experience that enhanced user \ engagement without cannibalizing ad revenue.. Additional tailwinds included a late-October cloud partnership expansion with Anthropic for AI model training, broader market optimism from anticipated Federal Reserve rate cuts, and easing U.S.-China trade tensions, positioning Alphabet as a resilient AI leader amid Big Tech peers' volatility. Technical factors, such as sustained trading above key moving averages and high-volume breakouts, further supported the uptrend, with shares hitting all-time highs in November on continued AI dominance
Special Webinar: Identifying Investment Opportunities with Artificial Intelligence – Top Stocks for the Upcoming Month
Discover AI-Powered Stock Picks: Explore the top investment opportunities for the coming month, including the stocks identified by the I Know First Artificial Intelligence algorithm as the strongest short- and long-term prospects.
AI Investment Portfolio Managed by Artificial Intelligence: Our AI-managed portfolio selects the best stocks once a month. Learn which surprising stock has soared 20% since the latest portfolio update.
From Tech to Healthcare: Examine the I Know First Algorithm's predictions for the U.S. market this month across key sectors.
Live Forecast Update – S&P 500 and Nasdaq Outlook: Participate in a real-time AI-based forecast of the leading U.S. indices and uncover the trends shaping global markets.
Meet the Speakers
Yaron Golgher – CEO and Co-Founder of I Know First
I Know First is running a Black Friday 2025 promotion (November 30, 2025) that gives investors access to its AI-powered stock forecasting tools at special pricing. Key offers include:
20% off all eligible packages with discount code BF2025
An AI-Powered Portfolio: a monthly-rebalanced, long-only stock portfolio built and rebalanced using the company’s deep-learning algorithms to outperform the market
The official “Stock Market Forecast Based on Artificial Intelligence for 2026” annual report, covering top stocks, sectors, indices, commodities, currencies, and crypto for the coming year
A bundled Black Friday AI Forecast Deal that combines daily AI heatmaps, the AI-Powered Portfolio, and the full 2026 report at exclusive pricing
The promotion encourages investors to move from traditional analysis to data-driven, AI-generated insights for both short-term trading and long-term 2026 positioning, with all offers available only during the limited Black Friday window.
I Know First has released its “Stock Market Forecast Based on Artificial Intelligence for 2026” annual report (November 30, 2025). The report uses the company’s proprietary AI and deep-learning models to identify the highest-conviction investment opportunities expected to perform best over the full year 2026. It covers a broad range of asset classes, including:
Top U.S. stock picks
Best ETFs
Leading sectors and industries (GICS Level 1 & 2)
Aggressive and small-cap stocks
Major global indices and interest-rate outlook
Top forex pairs
Recommended commodities
Best-performing cryptocurrencies
To demonstrate the system’s track record, the company also published the full 2025 forecast (sent to clients at the start of 2025) with actual returns through October 31, 2025. That 2025 report’s recommendations — including stocks such as HOOD, SOFI, SHOP, NVDA, and the Aerospace & Defense sector (XAR) — delivered an average return of 20.74% compared to the S&P 500’s 16.30%, generating a +4.44% market outperformance. The new 2026 report follows the same long-term, AI-driven methodology.
Dr. Lipa Roitman explains the science behind machine learning:
Markets are chaotic systems; predictable patterns exist but are hidden in noise and require advanced ML to extract.
I Know First’s algorithm runs thousands of separate predictors in parallel and continuously improves them via genetic selection (survival of the fittest models).
The two crucial output metrics are “predictability” (how trustworthy the pattern is historically) and “signal” (direction + expected move size); only high-predictability assets are actionable.
This self-evolving, data-driven approach has enabled the system to consistently outperform the S&P 500 for clients ranging from hedge funds to retail investors.
By combining chaos theory, massive parallel prediction, and genetic self-optimization, I Know First has built one of the most sophisticated and battle-tested AI forecasting engines available to investors today.
Dr. Lipa Roitman also explains that all modern AI systems are built around two core modules: a resource-heavy Learning Module that trains on massive datasets to discover patterns, and a lightweight Prediction Module that applies those learned rules to new data in real time. The key to reliable AI lies in strong generalization (avoiding overfitting), continuous real-time retraining in dynamic fields like financial markets, and emerging advancements such as self-learning, explainable, and energy-efficient AI.
Learning Module = intensive training phase requiring GPUs/TPUs to turn huge datasets into optimized decision rules.
Prediction Module = fast and efficient inference engine that runs even on phones and needs only periodic updates to stay accurate.
True AI strength is measured by generalization to unseen scenarios; overfitting is prevented through rigorous validation.
In fast-changing environments (e.g., stock markets), systems like I Know First run a continuous learning-prediction loop, ingesting fresh data daily to keep forecasts relevant.
By separating the heavy “learning brain” from the nimble “prediction engine” and adding continuous adaptation, AI has become a powerful, practical tool that is already transforming finance, medicine, science, and industry—while still rapidly evolving toward greater autonomy and transparency.
How AI Forecasting Could Create New Opportunities In Fund-Of-Funds and Hedge Fund Workflows
AI-powered predictive forecasting, such as I Know First’s multi-horizon system, can enhance fund-of-funds (FoFs) and hedge fund workflows by providing forward-looking insights into manager exposures, market regimes, and future return potential without disrupting existing processes. Rather than replacing traditional analysis, these tools act as additive, modular data inputs that improve manager selection, risk oversight, timing, and allocation decisions in an institutional setting.
FoFs operate one step removed from securities and rely on often-delayed or incomplete manager data; predictive signals offer a real-time, forward-looking layer to better assess exposures and unintended concentrations.
Predictive analytics complement (not replace) due diligence by revealing how a manager’s current positioning aligns with expected short-, medium-, and long-term market moves.
Hedge funds can integrate decomposed, interpretable AI components (trend, volatility, regime signals) directly into proprietary models for better entry/exit timing, risk budgeting, and thematic validation while preserving secrecy.
Institutional adoption has been slow due to legacy reliance on backward-looking risk models and integration friction, but predictive tools are best positioned as non-disruptive, additive data feeds via APIs.
I Know First’s algorithm, built on chaos theory, neural networks, and genetic self-optimization, has delivered +587% return (2020–mid-2025) vs. S&P 500, proving the real-world alpha potential of such systems.
When delivered as clean, modular data rather than black-box recommendations, advanced AI forecasting represents a natural, low-friction evolution for FoFs and hedge funds — enhancing decision quality and alpha generation while fully respecting established workflows and independence.
Last week, we talked about fear. This week, the market roared. The Nasdaq jumped over 4%, the S&P 500 rose nearly 4%, and the Dow Jones surged more than 3%. This kind of volatility—swinging from panic to euphoria—is exactly where human investors get dizzy, and where artificial intelligence gets sharp.
The View from Here: 2026 and Beyond
While the crowd is celebrating this week's green candles, our AI is already modeling the landscape for next year and beyond.
We have just released our 2026 Stock Market Forecast. This isn't just a guess; it's a deep-dive analysis based on the complex patterns our algorithms have identified shaping the long-term horizon. If you want to know where the smart money should be positioning for the next 12-18 months, this is your map.
Earlier today, we held a special webinar to break down these exact market movements. We discussed why the indices are moving the way they are and, more importantly, what comes next. If you missed the live analysis, the replay is available now.
This is it. The massive market rally we saw this week is a reminder that being on the sidelines is costly. To help you get in the game, we opened up our exclusive Black Friday 2025 Deals.
However, these offers are expiring. This is your last chance to lock in our most powerful institutional-grade tools at our best rates of the year.
While the indices were up 4%, our specific AI selections were significantly outperforming the benchmarks. Here is what our subscribers captured this week:
Apple's stock is buoyed by strong iPhone 17 performance, with Counterpoint Research projecting a 10% surge in shipments for 2025—reclaiming the global smartphone market lead from Samsung for the first time since 2011 at 19.4% share—fueled by pandemic-era upgrade cycles, robust sales in the US (up 12%) and China (up 18%), and future catalysts like the 2026 foldable iPhone debut, affordable iPhone 17e variant, and a major 2027 redesign. On the hardware front, the iPad mini 8 is slated for an OLED display upgrade no earlier than Q3 2026, per leaker Instant Digital, potentially featuring the A19 Pro chip and vibration-based speakers for enhanced water resistance, though this could hike the starting price by up to $100 from $499, with iPad Air following in 2027. Amid these positives, Apple conducted rare layoffs affecting dozens in its sales organization—targeting managers for large enterprise, education, and government clients, plus demo center staff—to streamline operations and boost customer engagement, with affected employees given over a month to transition internally or receive severance, though some view it as a cost-cutting shift toward third-party retail channels.
