Homebuilders Based on AI: Returns up to 6.97% in 3 Days
Consumer Staples Stocks Based on Machine Learning: Returns up to 5.64% in 7 Days
Consumer Discretionary Stocks Based on AI: Returns up to 14.04% in 14 Days
Energy Stocks Stocks Based on AI: Returns up to 27.86% in1 Month
Tech Giants Based on AI: Returns up to 101.82% in 3 Months
Stocks Under $10 Based on AI: Returns up to 274.56% in 1 Year
Eli Lilly and Company (LLY) is up 26.74% 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.
Tesla Inc. (TSLA) is up 22.77% since September 1st, 2025, propelled by a potent mix of macroeconomic tailwinds and company-specific catalysts that reignited investor fervor after a sluggish year-to-date start. Hopes for Federal Reserve interest-rate cuts, signaled by Chair Jerome Powell in late August, sparked an initial August rally that spilled into September, with shares jumping over 6% in a single session as lower borrowing costs are expected to juice electric vehicle demand, ease consumer financing, and inflate the present value of Tesla's long-term bets like robotaxis and AI-driven autonomy—echoing the explosive 2020 surge during near-zero rates. This momentum accelerated with Tesla's aggressive robotaxi pilot expansion in Austin, scaling from 18 to 170 square miles by mid-September using Model Y vehicles with Full Self-Driving software, alongside unveilings of purpose-built Cybercab and Robovan models slated for 2026 integration, fueling speculative hype despite regulatory probes into crash reporting and comparisons to Waymo's operator-free miles. Bolstering the fundamentals, the energy storage segment—featuring Megapack and Powerwall—surged 67% in 2024 revenue to over $10 billion, now contributing 10%+ of total sales with 30%+ margins that outshine the softening automotive core (down 6.5% in 2024 amid China registration woes and competition), positioning Tesla as a clean-energy powerhouse. Institutional confidence is rebounding, with Tesla rejoining Goldman Sachs' "hedge fund VIP" list and steady ownership from giants like Vanguard and BlackRock, while retail enthusiasm on platforms like Robinhood amplifies volatility into upward swings; despite lofty valuations (186x P/E) and Q2 2025 revenue dips, the rally has erased YTD losses, pushing shares toward break-even and up 80% from April lows, underscoring Tesla's resilience as a high-beta play on tech and macro optimism.
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
Webinar Replay - Last Chance To Take Advantage Of The Deals
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NVDA Stock Forecast: Overvalued Despite Record AI Growth?
NVIDIA's FY2025 delivered record-breaking results, with revenue soaring to $130.5 billion, a 75% gross margin, and $72.9 billion in net income (56% margin), propelled by explosive demand for AI accelerators in its Data Center segment, which now dominates 88% of revenues. Despite geopolitical risks like U.S.-China trade tensions and a conservative DCF valuation suggesting mild overvaluation at $186.52 per share, analysts' bullish consensus targets $257, backed by a $500 billion AI-chip order backlog for 2025-2026, underscoring sustained AI leadership.
Dominant Data Center Growth: Accounted for 88.3% of FY2025 revenue, more than doubling year-over-year via Hopper H100 GPUs, Grace Hopper superchips, and early Blackwell shipments, powering most AI training at hyperscalers and expanding into automotive, energy, and healthcare verticals.
Segment Diversification with Recovery: Gaming rebounded to 8.7% of revenue amid stable GeForce RTX demand and AI features like DLSS; Professional Visualization (1.4%) holds 90%+ market share despite sluggishness; Automotive grew double-digits to 1.3% with DRIVE platforms; OEM & Other remained negligible at <0.3%.
Exceptional Profitability and Efficiency: Gross margins expanded from 58% two years ago to 75% through premium pricing and data-center scale; net margins hit 56%, with ROE at 114% and ROA at 78%, far outpacing semiconductor peers' medians.
Geopolitical and Operational Risks: U.S.-China tariffs raise supply-chain costs and limit China exposure (historically >20% of data-center sales), though compensated by North American hyperscaler demand; full Russia exit in FY2023 had negligible impact.
Premium Valuation and Market Opportunity: Trades at 49x P/E (vs. industry low-30s) reflecting AI dominance; total addressable market exceeds $1.5 trillion across gaming ($110B), AI software/cloud ($300B), Omniverse ($200B), chips/systems ($500B), and automotive ($400B), amid global IT spend projected at $5.43 trillion in 2025.
Analyst and AI-Driven Optimism: 65 analysts rate Strong Buy/Buy with $257 average target (44% upside); I Know First's AI models issued strong long signals pre-earnings, outperforming investors like SoftBank and Peter Thiel who reduced positions and missed the post-report surge.
In conclusion, NVIDIA's unassailable AI moat and massive backlog position it for multi-year compounding, justifying premium multiples despite near-term valuation debates and trade headwinds.
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 +28.48% return, significantly surpassing the S&P 500’s +20.13% return, resulting in a +8.37% 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.
AI-Powered Hedge Fund Scorecard: October 2025 Update
October 2025 delivered solid equity returns amid sharp volatility spikes, with the S&P 500 gaining 2.3% for the month and 16.3% YTD, driven by strong corporate earnings and a calming US-China trade agreement. I Know First’s AI-powered systematic strategies continued to outperform both the benchmark and top hedge funds, reinforcing the edge of data-driven, self-learning systems in volatile markets.
Market Context: October saw volatility briefly hit April-2025 highs before stabilizing; 83% of reporting S&P 500 companies beat earnings expectations, fueling a 2.3% monthly gain.
Combined Long/Short Strategy: Recorded -0.8% in October (a rare dip) but remains strongly ahead YTD at +24.8% vs. S&P 500 +16.3% and top US hedge funds 6.8%–14.2%.
Long-term Track Record: Since January 2020, the Combined Strategy has delivered +610% cumulative return and +40.6% annualized vs. S&P 500 +108%, proving consistent alpha generation.
New Mag7 Strategy Launch: The AI-powered Long/Short Magnificent Seven strategy (trading Apple, Amazon, Google, Meta, Microsoft, Nvidia, Tesla + select ETFs) has achieved +1,238% cumulative return since 2020 (+56.9% CAGR) vs. S&P 500 +108.8%.
Core Mechanics: Both strategies use multi-horizon signal confirmation, monthly systematic rebalancing, and long/short positioning across stocks and sector ETFs to adapt quickly to regime shifts.
Institutional Relevance: In a high-volatility, AI-driven market environment, I Know First’s self-learning algorithms analyzing 13,500+ assets daily provide scalable, risk-adjusted outperformance that integrates easily into banks, hedge funds, and family offices.
I Know First’s AI systematic strategies—particularly the flagship Combined Long/Short and the new Mag7-focused approach—continue to generate substantial, repeatable alpha against both broad benchmarks and elite hedge funds, cementing their value as a competitive necessity for institutions embracing data-driven investing.
The ongoing AI investment boom shows classic bubble characteristics—sky-high valuations, corporate FOMO, and spending that far exceeds current productivity gains—echoing the dot-com era while being fueled by cheap money and the transformative promise of generative AI. Although AI is a genuine long-term revolution, the current euphoria has detached prices from fundamentals, creating substantial near-term risk but also setting the stage for eventual cleansing and consolidation that will leave only the strongest players standing.
Bubble Lifecycle Stage: The AI boom, ignited by ChatGPT in late 2022, is currently between the “Boom” and “Euphoria” phases of Minsky’s five-stage model, with Nvidia surpassing $5 trillion market cap and AI absorbing ~$70 billion in annual VC funding despite most startups lacking revenue.
Valuation Extremes: Shiller P/E ratios are approaching dot-com peak levels, AI-exposed companies now represent ~44% of the S&P 500, and forward P/Es of 26–31x (and far higher for many pure-play names) reflect pricing in decades of future profits today.
Adoption vs. Actual ROI: While 70–80% of companies now claim to use AI (up from ~20% in 2017) and AI publications exploded to >50,000/year, 40–45% of projects never move past pilot and roughly half of proof-of-concepts fail to reach production, revealing a large gap between hype and measurable returns.
Historical Parallels: Like the 1999–2000 internet bubble (overbuilt fiber, “.com” branding frenzy, Nasdaq +400% then –78%), today features overbuilt GPU capacity, “AI” branding mania, and insiders (Sam Altman, Bret Taylor, Ray Dalio) openly acknowledging a bubble.
Who Survives a Correction: History shows only companies with real cash flow, deep moats, and strong balance sheets (Amazon, Google, Microsoft then; Microsoft, Amazon, Alphabet, Nvidia now) endure and consolidate the wreckage by acquiring talent and IP at fire-sale prices.
Role of AI Forecasting: In an emotion-driven bubble, self-learning AI systems like I Know First’s algorithm—which delivered +587% return from 2020–mid-2025 versus S&P 500 +96%—offer a disciplined, data-driven edge to separate sustainable innovators from speculative noise.
AI is a legitimate multi-decade revolution, but the current frenzy has inflated a classic speculative bubble that will eventually burst, painfully repricing overvalued assets while ultimately cleansing the ecosystem and paving the way for the true leaders—Microsoft, Amazon, Alphabet, and Nvidia—to dominate the next productivity boom.
Investment Stratgeies: Who Is Winning The Battle Between Active vs Passive Investors Read More:
CEO Weekly Letter
Dear Investors,
Human beings are evolutionarily wired to run when they see others running. It is a survival mechanism that kept us alive on the savannah, but it is often the very instinct that destroys wealth in the stock market.
This week was a perfect case study in the psychology of the "Irrational Crowd"
The Anatomy of a Volatile Week
If you looked only at the headlines this week, you saw fear. The Nasdaq shed 2.7%, and both the S&P 500 and Dow Jones lost roughly 2%. The crowd was selling.
But then came Friday. The mood flipped. The Dow rebounded 1.08%, the Nasdaq advanced 0.88%, and the S&P 500 finished 0.98% higher, closing at 6,602.99.
So, which is it? Is the sky falling, or are we back on track?
Fighting the Irrational Crowd
The crowd oscillates between fear and greed. The AI does not.
At I Know First, our self-learning algorithm operates without an amygdala. It doesn't feel the panic of a Tuesday sell-off or the euphoria of a Friday rally. Instead, it mathematically separates the "signal" (the true flow of money) from the "noise" (the irrational behavior of the crowd).
This ability to stand apart from the herd is the investor's greatest edge. While the crowd reacts to the now, our AI is calculating the next. You can read more about how our technology identifies opportunities when the market is behaving irrationally here: AI Stock Forecast: Fighting The Irrational Crowd By Investing Through AI
Webinar Replay: The Logic Behind the Numbers
Last week, we held a special webinar diving deep into our methodology and how we identify these divergences. If you missed the live session, or simply want to understand the logic that powers our forecasts, I highly recommend watching the replay:
While the major averages posted big losses for the week, our algorithms were busy identifying the pockets of opportunity that the panicked crowd missed. Here are the most notable forecasts from this volatile period:
For a deeper perspective on how our strategies compare to the broader industry, we have just released our latest performance analysis. See how AI-driven selection is stacking up against traditional management:AI-Powered Hedge Fund Scorecard: October 2025 Update
Leave the Crowd Behind The market is waiting for you to decide. Will you choose confusion, or certainty? Our AI provides the certainty needed to thrive in uncertain times.
Daily AI Forecasts (6 Time Frames): Actionable stock picks every day. → View All Pricing Plans
Apple's latest developments include a phased rollout of OLED displays starting with high-end 14- and 16-inch MacBook Pro models featuring M6 Pro and M6 Max chips, slated for late 2026 or early 2027, complete with slimmer designs and touchscreen support, while the base 14-inch version sticks with Mini LED and entry-level updates arrive later, potentially aligning with OLED adoption in MacBook Air by 2028. On a positive note, the company plans to debut an AI-powered Health+ subscription service in 2026, enhancing the Health app with a personal AI assistant for customized health coaching, nutrition tracking, expert videos, and proactive insights integrated with Siri and Apple Watch data, positioning Apple as a leader in AI-driven wellness.However, challenges persist with the iPhone Air, whose disappointing sales—stemming from its ultra-thin profile, limited battery life, and single-camera setup failing to justify the premium pricing—have prompted production cuts and a delay of its next-generation successor from fall 2026 to spring 2027, coinciding with the iPhone 18 lineup and featuring upgrades like a second camera lens.
