Homebuilders Stocks Based on AI: Returns up to 9.99% in 3 Days
Computer Industry Stocks Based on Machine Learning: Returns up to 26.88% in 7 Days
Tech Stocks Stocks Based on AI: Returns up to 25.21% in 14 Days
Tech Stocks Stocks Based on AI: Returns up to 26.44% in1 Month
Options Forecast Based on AI: Returns up to 193.90% in 3 Months
Options Forecast Based on AI: Returns up to 336.57% in 1 Year
Amazon.com Inc. (AMZN) is up 35.84% sinceMay 27th, 2025, propelled by robust Q3 2025 earnings and a landmark AI partnership, alongside ongoing strategic investments and undervalued fundamentals. In Q3 ended September 30, total revenue climbed 13% year-over-year to $180.2 billion, beating estimates of $177.8 billion, with AWS accelerating to 20% growth at $33 billion—its strongest pace since 2022—fueled by AI demand for Trainium chips and Bedrock services. EPS hit $1.95, surpassing forecasts by 25%, while operating income reached $20.5 billion (up from $17.4 billion prior year) and operating cash flow rose 16% to $130.7 billion, despite a free cash flow dip to $14.8 billion amid surging capex. The company raised its 2025 capex guidance to $125 billion (up from $118 billion) to expand AI infrastructure, with plans to double AWS capacity by 2027. A pivotal boost came from a seven-year, $38 billion deal announced November 3 with OpenAI, marking the AI leader's first major AWS contract to access hundreds of thousands of Nvidia GPUs for training ChatGPT and future models, diversifying OpenAI from Microsoft and adding $140 billion to Amazon's valuation as shares hit an all-time high of $254 intraday. Complementing these, innovations like the Vulcan robot enhance warehouse efficiency, handling 75% of inventory with tactile AI to cut labor costs, while a $4 billion rural U.S. expansion by 2026 adds 200+ delivery stations for faster Prime access in 13,000 zip codes. Financially, Q3 net income details are pending but align with profitability gains, EPS beats, and a P/E ratio of 33.6—still its lowest in over a decade and below peers like Walmart (41) and Microsoft (33.64)—amid a recovery from April lows (down 33% from February highs, RSI at 29 oversold). Tailwinds include AWS's 30% global cloud share, Prime's 200+ million subscribers averaging $1,400 annual spend, a $66 billion cash reserve (post-Q1), and analyst consensus targets of $238 (up to $288) with "Strong Buy" ratings, cementing Amazon's e-commerce dominance (40.4% U.S. share), AI leadership, and high-margin growth potential.
Parker-Hannifin Corporation (PH) is up 14.18% since July 28th, 2025, driven by stellar post-fiscal year performance, strategic acquisitions, and robust analyst optimism amid aerospace and electrification tailwinds. The company's FY2025 (ended June 30) delivered record results with $19.9 billion in revenue (up 7% CAGR over five years), adjusted EPS of $25.44 (14% CAGR), and free cash flow doubling to $3.0 billion, capped by Q4 sales of $5.2 billion (2% organic growth), net income up 18% to $923 million, and adjusted EPS surging 14% to $7.69 on 160 bps margin expansion to 26.9%. Building on Q3 FY2025's 1% organic sales growth translated into 6.6% adjusted EPS gains to $6.94 and record 26.3% margins, FY2026 Q1 (ended September 30) accelerated with record $5.1 billion sales (5% organic), net income up 16% to $808 million, adjusted EPS +16% to $7.22 (beating estimates by 9%), and an $11 billion backlog signaling demand strength. Key catalysts include the $1 billion acquisition of Curtis Instruments completed September 18—adding $320 million in annual sales from EV motor controllers and instrumentation to bolster electrification in mobile machinery—aligning with PH's $35 billion capital plan ($20-26 billion for M&A/optionality, $7 billion shareholder returns, $2 billion capex) and targets of 4-6% organic CAGR, 27%+ margins, and 10%+ EPS growth via The Win Strategy™. Valuation remains premium yet justified at P/E 28.43 (above peer median 26.10) given superior profitability (91.98% industry rank, Piotroski F-Score 8, safe Altman Z-Score) and diversification across aerospace/defense (33% of $20 billion FY2024 revenue) and industrial verticals. Analyst consensus is a strong "Buy" from 19 firms with an average $770 target (up to $910), recently boosted by Wells Fargo to $925 (November 7) and Truist to $910 (October), reflecting confidence in portfolio resilience and secular trends despite muted industrial topline (2.64% growth vs. peer 4.66%).
Apple Inc (AAPL) is up 16.28% since August 18th, 2025,catalyzed by a technical rebound above key moving averages, the resolution of a lingering EU tax dispute, and strategic supply chain diversification that bolsters resilience against escalating U.S. tariff threats. The stock's surge reflects renewed bullish momentum from reclaiming the 50-day and 200-day MAs amid a repair-phase uptrend, with price testing the $234–$238 resistance band—edging toward confirmation via potential golden cross and rising long-term slope—despite elevated RSI signaling possible short-term cooling, as investors reward Apple's structural gross margin expansion to record highs (mid-70s for Services, high 30s for products) driven by the segment's growing revenue mix offsetting a 4% YoY Q2 FY2025 dip to $90.75 billion from softer iPhone/Mac sales. The €14.2 billion EU tax settlement in early 2025 cleared a $10.2 billion overhang, normalizing the effective tax rate to ~15% and freeing cash for aggressive $100 billion buybacks that have juiced EPS growth, while a monumental $600 billion U.S. sourcing push—securing over 19 billion domestic chips via partners like TSMC Arizona and Corning Kentucky—mitigates Section 232 tariff risks (up to 100–300%) and positions Apple for exemptions, enhancing cost visibility and geopolitical stability even as transition expenses pressure near-term margins. This confluence of cleared hurdles, services-led profitability (now nearly half of profits), and proactive manufacturing shifts has drawn analyst upgrades toward Buy ratings with targets up to $315, aligning with I Know First's strong one-year bullish signal, though full uptrend validation awaits a decisive breakout above $238.
Special Webinar: Identifying Investment Opportunities with Artificial Intelligence – Top Stocks for the Upcoming Month
Date: Sunday, November 16, 2025 Time: 11:00 AM EST
What You Will Learn
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's Magnificent Seven Multi-Tier AI Investment Strategy uses daily AI forecasts to dynamically allocate across top tech stocks, sector ETFs, and predictable assets, achieving a 1108.08% return from January 2020 to July 2025—outperforming the S&P 500 by over 1000%. The strategy rebalances monthly based on majority directional signals, blending 60% in filtered Magnificent Seven stocks, 10% in high-signal Level 2 ETFs, 20% in top-predictability stocks, and 10% in SPY/OEF.
Portfolio Construction: Allocates 60% to signal-filtered Magnificent Seven (Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, Tesla), 10% to top two Level 2 ETFs, 20% to five most predictable stocks, and 10% to SPY/OEF; reverses to short positions when bearish signals dominate.
AI-Powered Forecasting: Leverages a self-learning algorithm using neural networks, genetic algorithms, and 15 years of data across 13,500+ assets to rank inputs and refine models daily with zero human bias.
Superior Risk-Adjusted Returns: Delivers a Sharpe ratio of 1.61 and Sortino ratio of 2.36, reflecting strong returns relative to total and downside risk.
Outperformance: Generates 1108.08% cumulative return vs. S&P 500’s ~96.1%, with consistent yearly gains and monthly rebalancing ensuring adaptability.
This AI-driven, multi-tier strategy confirms I Know First’s ability to deliver institutional-grade alpha through precision forecasting and disciplined execution in high-growth tech ecosystems.
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 +29.00%return, significantly surpassing the S&P 500’s +18.65% return, resulting in a +10.35% 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.
NOW Stock Forecast: AI-Driven Workflow Leadership Supports Sustained Growth
ServiceNow delivered robust Q3 2025 growth with 22% revenue, 32% EBITDA, and 16% net income increases, driven by AI innovations like AI Experience and the Zurich platform update, while raising full-year guidance to $12.84–$12.845 billion in revenue (+20.5% YoY) and announcing a 5-for-1 stock split. The company solidified its leadership in enterprise AI workflow automation through strategic partnerships, global expansion, and top Gartner rankings, positioning it for sustained high-margin growth despite premium valuations.
Strong Financial Momentum and Upgraded Guidance: Q3 2025 revenue rose 22% YoY, with 103 deals over $1M in net new ACV and 553 customers contributing >$5M ACV (+18% YoY); management lifted FY2025 revenue to $12.835–$12.845B, operating margin to 31% (+50 bps), and FCF margin to 32–34% (+200 bps).
AI Platform Innovation Leadership: Launched AI Experience—a context-aware, multimodal interface—and Zurich update with secure code generation, agentic playbooks, and tools like Vault Console, accelerating multi-agent AI development and enterprise adoption.
Global Expansion and Strategic Partnerships: Opened Florida AI Innovation Hub (850+ jobs, $1.8B economic impact), partnered with NVIDIA (Apriel 2.0, AI Factory), FedEx, GSA, Bundesliga, and invested in Genesys and Zaelab to deepen AI and CRM capabilities.
Industry-Leading Recognition and Profitability: Named a Leader in four 2025 Gartner Magic Quadrants (including inaugural Business Orchestration); achieved top-tier margins—EBITDA 22.78% (beats 81% of peers), FCF 56.7% (beats 95%), ROE 16.88% (beats 78%)—per GuruFocus.
Stock Split and Attractive Upside: Board approved 5-for-1 split (pending Dec 5 vote) to boost liquidity; NOW trades at $858.77 (Nov 6) with P/E of 103.86 (below peer medians), offering 34–39% upside to analyst targets of $1,154–$1,191, backed by unanimous “Buy” ratings.
ServiceNow has transformed from an ITSM provider into the AI operating system for modern enterprises, evidenced by consistent 20%+ revenue growth, expanding margins, and a rapidly growing high-value customer base. With AI-driven efficiencies, strategic global investments, and industry-leading recognition, the company is well-positioned to sustain double-digit growth and margin expansion over the long term. Despite elevated valuations, the combination of recurring revenue, technological moat, and a shareholder-friendly stock split makes ServiceNow a compelling growth investment for patient investors with a 12- to 18-month horizon.
Algorithmic Trading With I Know First vs. High Frequency Trading
I Know First's quantitative algorithmic trading leverages AI, machine learning, and self-learning neural networks to generate predictive, longer-term market forecasts across 13,500+ assets, empowering both retail and institutional investors with objective insights and outperforming benchmarks like the S&P 500. In contrast, high-frequency trading (HFT) relies on ultra-fast, short-term order execution for tiny gains, requiring massive infrastructure, increasing market volatility, and excluding most participants due to cost and ethical concerns.
HFT Mechanics and Risks: HFT executes trades in milliseconds using one-pass algorithms on 5-minute data for 1-minute projections, demanding extreme speed and proximity to exchanges; it drives 60–70% of U.S. equity volume but amplifies volatility, contributes to flash crashes (e.g., 2010 event), and faces bans in Europe/Canada over fairness issues.
Quantitative Trading with I Know First: Uses AI/ML, neural networks, and genetic algorithms to model market structure, detect predictable patterns, and generate daily forecasts for six time horizons (intraday to 1-year); self-learning system refines models daily, separating signal from noise across multidimensional market data.
Actionable Predictive Outputs: Delivers signal (direction + magnitude) and predictability scores via color-coded heat maps; enables diversified, scalable strategies with up to 20 top picks across stocks, ETFs, currencies, commodities, and indices—ideal for longer horizons where accuracy strengthens.
Proven Performance and Accessibility: Achieved 60.66% return in 2013 (vs. S&P 500 +30%), continuously improving through learning; unlike HFT’s elite barrier, I Know First democratizes advanced forecasting for all investors at low cost, reducing bias and enhancing decision-making.
I Know First’s AI-driven quantitative trading delivers accessible, predictive, and outperforming long-term insights, making it a superior and sustainable alternative to the volatile, exclusionary world of high-frequency trading.
Last week reminded us why timing and discipline matter. While headlines chased the selloff — Nasdaq ~-3%, S&P 500 and Dow >-1% for the week — our models kept doing what they do best: turning noisy markets into actionable signals.
The I Know First Difference: Strategy Over Speed People often ask if our approach is HFT. It isn’t. HFT scalps microseconds; we forecast from days to months. Our edge is signal quality, not speed — thousands of non-linear predictors voting across six horizons. A short primer: Algorithmic Trading With I Know First vs. High Frequency Trading
From Hong Kong to Your Portfolio Last week, I had the privilege of attending Hong Kong FINTECH WEEK. The energy was electric, and it was invaluable to meet so many of you—from the sophisticated strategy teams at Hedge Funds and Family Offices to the savvy Retail Clients ready to embrace the future of finance. The overwhelming feedback confirms one thing: the appetite for intelligent, unbiased, and alpha-generating technology is global. Thank you for making the event such a success. Highlights From Hong Kong Fintech Week:
Immediate Opportunities to Act Our AI never rests, and two major opportunities are approaching rapidly:
1. Portfolio Rebalancing: This Wednesday! Our popular AI-Powered Monthly Portfolio, designed for systematic, hands-off growth, undergoes its rebalancing this Wednesday. This is your last chance to join this month’s cycle and benefit from the freshly selected, market-beating stocks. Join the monthly portfolio before the cut-off:
2. Special Live Webinar (Next Week): We are hosting an exclusive webinar dedicated to identifying specific investment opportunities using our AI, focusing on the top stocks our algorithm has flagged for the coming month. This is your chance to see the methodology in action. Register for the webinar here:
While the indices were tumbling, our AI continued to execute, providing predictions that delivered differentiated returns. The predictability of our models is the antidote to volatility:
Daily AI Forecasts—6 Time Frames Access full ranked signal lists across six time horizons, updated daily. Get Daily Forecasts:
Final Thought: Opportunity Never Sleeps - and Neither Does AI Every day, our AI scans thousands of assets across global markets - flagging the next high-momentum stocks, breakout opportunities, and reversal setups long before they appear in headlines.
This is where the edge lives: not in guessing, but in knowing first.
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 stock received a modest boost on November 6, 2025, amid reports of strategic advancements in AI and hardware, including a $1 billion annual deal with Google to power an overhauled Siri using the 1.2 trillion-parameter Gemini model—far surpassing the 150 billion parameters of current Apple Intelligence—enabling advanced summarization, multistep task planning, and complex app interactions while running on Private Cloud Compute for privacy, with a debut in the iOS 26.4 update slated for spring 2026; Apple evaluated pricier options from OpenAI and Anthropic before selecting Gemini as a bridge to its maturing in-house models. Looking further ahead, Apple plans a full pivot to OLED displays across its lineup, starting with the MacBook Pro potentially in late 2026 featuring touchscreen capabilities and followed by the MacBook Air in 2028 (with an interim M5 LCD version in 2026), promising brighter screens, deeper blacks, higher contrast, and better battery life for iPads and Macs alike. Additionally, the Mac Studio is set for a 2026 refresh with the high-end M5 Ultra chip—formed via UltraFusion of two Max variants—potentially alongside a Mac Pro update and new external displays, focusing on internal performance gains without major design overhauls, as Apple skips Ultra chips in every M-series generation. These developments underscore Apple's aggressive push into AI-enhanced ecosystems and premium hardware innovation, positioning it for robust holiday-quarter momentum and long-term growth in services and devices despite broader tech sector jitters.
