Options Forecast Based on AI: Returns up to 95.75% in 3 Days
Top 10 Stocks Based on Machine Learning: Returns up to 34.55% in 7 Days
SOXX Stocks Based on AI: Returns up to 34.77% in 14 Days
Quantum Stocks Based on AI: Returns up to 42.79% in1 Month
Quantum Stocks Based on AI: Returns up to 78.72% in 3 Months
Top 10 Stocks Based on AI: Returns up to 280.22% in 1 Year
Eli Lilly and Company (LLY) is up 28.36% since October 19th, 2025, primarily driven by explosive demand and blockbuster sales growth for its GLP-1 drugs Mounjaro (for diabetes) and Zepbound (for obesity/weight loss). The major catalyst was the Q3 2025 earnings report on October 30, 2025, which delivered blowout results with revenue up 54% YoY to $17.6 billion (led by tirzepatide franchise sales topping $10.1 billion, Zepbound up ~185% and Mounjaro up ~109%), massive volume increases (60%+ in the U.S.), and raised full-year guidance to $63–$63.5 billion in revenue (from prior $60–$62 billion), signaling sustained momentum in the obesity/diabetes market amid supply improvements, international expansions, and market share gains over competitors like Novo Nordisk. This fueled a sharp rally post-earnings, further supported by positive pipeline updates (e.g., advancing oral obesity candidate orforglipron for potential 2026 launch), analyst upgrades/price target hikes (e.g., Morgan Stanley to $1,290, UBS to $1,250 in late 2025/early 2026), and the company's milestone $1 trillion market cap in November 2025 as the first healthcare firm to achieve it, reflecting investor confidence in Lilly's leadership in the booming GLP-1 category despite occasional volatility from pricing concerns or competition.
Alphabet Inc. (GOOGL) is up 30.94% since September 18th, 2025, fueled by a powerful combination of AI leadership breakthroughs, robust cloud growth, favorable regulatory outcomes, and strong overall business momentum that transformed investor sentiment from earlier skepticism to widespread optimism. The rally accelerated notably after the September 2025 antitrust ruling that rejected extreme remedies (like forcing a Chrome sale) in Google's search monopoly case, providing a major tailwind, followed by the blockbuster Q3 2025 earnings on October 29 (revenue hitting a record $102.3B up 16% YoY, first $100B+ quarter, with Google Cloud surging ~34% and a $155B backlog), massive CapEx increases to $91–$93B for AI infrastructure, and culminating in late-2025/early-2026 catalysts like the launch of Gemini 3 (topping benchmarks in reasoning, coding, and multimodality), custom AI chip advancements (e.g., Ironwood/TPUs), rapid user growth (Gemini app to hundreds of millions), and a landmark deal integrating Gemini into Apple's Siri ecosystem, boosting distribution and positioning Google as a frontrunner in the AI race over rivals like OpenAI. This sustained performance contributed to Alphabet's ~65% full-year 2025 gain (its best since 2009), pushing it toward a $4 trillion market cap in early 2026, with additional support from subscription growth (300M+ paying users across YouTube/Google One), AI monetization in Search/YouTube, and emerging upside in areas like Waymo expansions — all while trading at a relatively attractive forward multiple compared to peers.
Taiwan Semiconductor Manufacturing Co. Inc (TSM) is up 49.74% since July 14th, 2025, driven by robust AI-related growth and prompted upward revisions to full-year guidance, followed by an even stronger Q3 October 2025 report where revenue jumped ~41% year-over-year to a record $33.1 billion, profit surged 39%, and the company raised its 2025 revenue outlook to the mid-30% range (from ~30%) due to faster-than-expected AI accelerator demand from key clients like Nvidia. This momentum continued with consistently strong monthly revenues (e.g., record annual sales of NT$3.81 trillion for 2025, up 31.6% YoY), sustained high-performance computing (including AI) contributing over 50-60% of sales, capacity tightness in advanced nodes (3nm/5nm/2nm), and analyst upgrades (e.g., Goldman Sachs raising targets significantly on AI-driven capacity constraints through 2027). Broader tailwinds include massive AI infrastructure spending projections (trillions in data center capex), TSMC's pricing power, margin resilience near 50-60%, aggressive fab expansions (including in the US), and structural rather than cyclical AI growth, defying bubble concerns and positioning TSM for continued multi-year upside amid hyperscaler and tech giant investments. The stock's performance reflects growing market confidence in TSMC's irreplaceable role in the AI megatrend, with shares hitting multiple record highs in late 2025 and early 2026.
MA Stock Forecast: A High-Quality Compounder Backed by AI Signals
I Know First's January 15, 2026, analysis positions Mastercard (MA) as a high-quality compounder with a durable business model driven by global electronic payment growth, minimal balance-sheet risk, and expanding high-margin Value-Added Services (VAS), supported by strong network effects, trust, and barriers to entry that make it an integral part of the payments ecosystem.
The report highlights undervaluation at the January 14, 2026, price of $545.27 (with a DCF fair value of $573 and 12-month target of $606), backed by positive analyst sentiment (26 Buy, 8 Hold ratings) and tailwinds from digitalization, cross-border commerce, e-commerce, and fraud prevention demand.
Robust Business Model: Mastercard earns primarily from transaction volume fees (domestic assessments and high-margin cross-border volumes) rather than credit risk or interest rates, enabling scalable global replication with low additional costs and limited balance-sheet exposure.
Key Revenue Drivers: Growth fueled by the ongoing shift from cash to electronic payments (especially in developing markets), rising e-commerce/mobile/contactless usage, post-pandemic travel recovery boosting cross-border fees, and increasing demand for VAS like fraud prevention, cybersecurity, data analytics, and loyalty programs for higher margins and customer stickiness.
Strong Competitive Moat: Built on powerful network effects (more users/merchants increase value), global acceptance/trust, high switching costs for banks/merchants, heavy regulation creating entry barriers, and fintech partnerships that reinforce rather than disrupt Mastercard's infrastructure.
Valuation and Forecast: As of January 14, 2026, the stock traded at $545.27 (considered undervalued vs. DCF fair value of $573), with a 12-month DCF-based target of ~$606, using assumptions like 15.7% tax rate, 0.86 beta, 4.16% risk-free rate, 5% risk premium, and long-term growth of ~3.8% (2% inflation + 1.8% real GDP).
Analyst Community View: Yahoo Finance shows strong bullish consensus with 39 analysts (26 Buy, 8 Hold), aligning with the report's optimistic outlook on sustainable mid- to high-single-digit organic revenue growth and significant EPS expansion.
Mastercard stands out as a resilient, moat-protected growth stock well-positioned for long-term compounding in the digital payments landscape, making it an attractive opportunity for investors focused on quality and structural tailwinds according to this AI-backed forecast.
I Know First's Combined Long/Short Strategy, a tier-2 institutional service powered by their AI self-learning algorithm, generated an exceptional 566.30% cumulative return from January 1, 2020, to April 8, 2025, outperforming the S&P 500 by 514.08% with strong risk-adjusted metrics (Sharpe ratio of 1.42 and Sortino ratio of 2.04).
The monthly-rebalanced portfolio dynamically allocates across promising GICS Level 1 sector ETFs, Level 2 industry ETFs, the most predictable individual stocks, and broad-market exposure (SPY/OEF), incorporating bullish and bearish positions to achieve superior, market-neutral performance driven by the algorithm's daily signal and predictability filters.
Portfolio Allocation: 60% to the top 3 Level 1 sector ETFs, 10% to the top 2 Level 2 industry ETFs, 20% to the 5 most predictable stocks from the forecast universe, and 10% to SPY or OEF based on overall signal strength, with monthly rebalancing.
Outstanding Historical Performance: Delivered 566.30% total return over the ~5.25-year period (January 2020–April 2025), vastly exceeding the S&P 500 by 514.08%, showcasing the strategy's ability to capture alpha across market cycles.
Superior Risk-Adjusted Returns: Achieved a Sharpe ratio of 1.42 (return per unit of total risk) and Sortino ratio of 2.04 (return per unit of downside risk), indicating excellent performance relative to volatility and drawdowns.
AI-Driven Methodology: Relies on I Know First's empirical, self-learning algorithm (using neural networks, genetic algorithms, chaos theory, and fractals) that analyzes 15+ years of data, refines models daily without human bias, and predicts non-linear market dynamics for over 13,500 assets.
This combined long/short strategy exemplifies the powerful edge of I Know First's advanced AI forecasting for institutional investors, delivering consistent, high-conviction outperformance with robust downside protection over an extended multi-year period.
I Know First uploaded a Youtube video on March 18, 2025 titled "I Know First AI Has Identified This Mysterious Aerospace and Defense Company As A Buy," showcases the company's AI algorithm highlighting Kratos Defense & Security Solutions (KTOS) as a strong buy opportunity in the aerospace and defense sector.
It emphasizes the AI's track record of outperforming the S&P 500 (e.g., recent forecasts averaging 7% returns vs. benchmark's 2.78%), discusses KTOS's improving financials, steady revenue growth, recent U.S. Navy contract wins, positive technical momentum, and high predictability/signal scores on short- and long-term horizons, while promoting I Know First's daily AI-driven stock forecasts.
AI Algorithm Overview: I Know First's self-learning AI, trained on 15+ years of data, predicts trends across 13,500+ assets using neural networks and genetic algorithms, with examples of past successes like NIU up 36% in 3 days and prior KTOS buy calls yielding 19.15% in 3 months (vs. S&P 500's 0.84%).
KTOS as Top Pick: The AI flags KTOS as a standout buy amid broader market declines, citing rallied price action, improving net margins (now 1.38% with positive income), consistent revenue growth since 2017 (driven by government solutions), and expansion in U.S./foreign markets.
Supporting Catalysts: Recent analyst upgrades, a $3.4M (potentially $19.1M) U.S. Navy contract for logistics/engineering support, and strong technicals (resistance at $34; breakout could drive upside) reinforce the bullish case.
Performance & Promotion: The video highlights AI outperformance (e.g., March 14 forecast gains), contrasts with Tesla/Uber picks, and encourages subscriptions to I Know First packages for daily forecasts, with disclaimers that it's not financial advice.
In conclusion, since the March 2025 AI forecast flagged KTOS as a buy, the stock has delivered explosive performance, surging approximately 318% (from around $30–$35 levels in mid-March 2025 to recent highs near $130–$132 as of mid-January 2026), driven by major contract wins, hypersonic/drone demand, facility expansions, and broader defense sector tailwinds.
Imagine waking up on January 1, 2025, with a "Secret Report" listing top stocks like HOOD, GOOGL, SOFI, AVGO, CRWD, SLV, GLD, and NVDA—right before their huge gains. These delivered impressive 2025 YTD returns (as of mid-December):
HOOD (Robinhood): +233% YTD
WDC (Western Digital): +261% YTD
MU (Micron): +178% YTD
SLV (Silver): +158% YTD
PLTR (Palantir): +121% YTD
SOFI (SoFi Technologies): +89% YTD
GOOGL (Alphabet): +66% YTD
AVGO (Broadcom): +53% YTD
NVDA (Nvidia): +36% YTD
(This is just a partial list of winners.) We can't time-travel, but we can offer the next best thing:
I Know First AI. Your 2026 Roadmap — Our algorithms have mapped the next 12 months and just released the 2026 Opportunities Report—a full AI-driven guide to top stocks, ETFs, sectors, indices, FX, commodities, and crypto poised for big moves.Don't wait until 2027 to regret missing it. Get ahead now.
I Know First explains how chaos theory provides a framework for understanding stock markets as complex, dynamic systems sensitive to small changes (the "butterfly effect"), where prices exhibit both random fluctuations and underlying patterns that can be modeled despite not being fully predictable under theories like the Efficient Market Hypothesis.
It positions AI, particularly self-learning algorithms using artificial neural networks and genetic algorithms, as the key tool to filter noise from systemic trends in vast historical data (15+ years), enabling accurate stock market predictions by adapting daily without human bias, focusing on empirical patterns rather than news sentiment.
Chaos Theory Application: Markets are chaotic systems with non-linear interactions, where minor events cause major price swings (e.g., emotions, black swan events like 9/11), leading to fat-tailed distributions and overshooting/undershooting of fair values — yet they retain predictable structure that traditional models miss.
AI's Role in Prediction: Advanced AI processes massive data to identify non-linear relationships, self-learns by refining models with new inputs, estimates prediction reliability (reducing irreducible error from true chaos), and indirectly captures investor sentiment through price dynamics alone.
I Know First Algorithm Details: Built by Dr. Lipa Roitman, the proprietary AI covers over 10,000 assets (stocks, ETFs, currencies) using 15 years of historical data plus daily updates; it employs deep learning, self-learning, and chaos-inspired insights for fractal time-series analysis to improve accuracy over time.
Output and Usage: Delivers forecasts via heatmaps with signal (predicted strength/direction) and predictability (confidence via correlation) indicators across horizons from 3 days to 1 year; recommends acting on strong signal + high predictability for profitable trades, with proven outperformance vs. S&P 500 in evaluations.
As of early 2026, I Know First continues to leverage this chaos-theory-informed AI approach successfully, with recent performance examples including the AI-Powered Portfolio outperforming the S&P 500 and high-return forecasts across sectors, affirming the enduring value of empirical, self-adapting predictions in navigating market complexity.
CEO Weekly: Explosive Gains in a Flat Market—The AI Advantage
Dear Investors,
While the major indices took a breather this week—with the S&P 500, Dow, and Nasdaq all ending in the red—our AI algorithm was busy identifying explosive moves that decoupled from the broader market fatigue.
When the "beta" of the market stalls, alpha is found in precision. This week, the numbers spoke for themselves.
Massive Short-Term Gains
IBRX: The 3-Day Rocket. ImmunityBio (IBRX) jumped 39% on Friday alone, reaching a staggering 95.75% return since our 3-day forecast was issued.
We officially released the 2026 Opportunity Report last Wednesday. In a world of "noise," this report is your signal. It provides the strategic AI-driven roadmap for the year ahead.
As of January 14, 2026, Apple (AAPL) faces a mixed outlook amid its ongoing push into AI infrastructure, with plans to begin mass production of proprietary AI server chips (codenamed Baltra, developed with Broadcom) in the second half of 2026 to reduce reliance on partners like Google (via a recent Gemini integration for Siri enhancements), while building dedicated data centers in 2027 to handle growing demand for hybrid/on-device AI tasks amid short-term development challenges ahead of WWDC. Innovation signals appear tempered, as U.S. patent grants fell ~12% to 2,722 in 2025 (dropping Apple to sixth or seventh place in rankings behind leaders like Samsung and TSMC), reflecting a broader industry slowdown in applications and grants despite heavy investments in AI, silicon, and software; meanwhile, Mac shipments stayed flat at 7.1 million units in Q4 2025 (vs. global PC growth of 9.6%), though full-year 2025 Mac shipments rose 11.1% to outperform the PC market's 8.1% gain, maintaining fourth place behind Lenovo, HP, and Dell.This combination highlights Apple's strategic bridge toward greater AI self-sufficiency amid near-term pressures on hardware innovation and PC momentum, contributing to recent stock softness (closing around $255–$260 in mid-January 2026 after peaking near $286 in late 2025, down ~8–10% YTD amid broader tech sector resets).
