Options Outlook Based on AI: Returns up to 53.61% in 3 Days
Options Forecast Based on Machine Learning: Returns up to 88.45% in 7 Days
Quantitative Trading Based on AI: Returns up to 34.35% in 14 Days
Implied Volatility Options Based on AI: Returns up to 77.86% in1 Month
Implied Volatility Options Based on AI: Returns up to 416.67 in 3 Months
SOXX Stocks Based on AI: Returns up to 268.81% in 1 Year
Amazon Inc (AMZN) is up 31.45% sinceMarch 29th, 2026,amid investor worries over high AI-related capital expenditures and slower margin expansion), driven mainly by a sharp positive shift in sentiment around its cloud business. The key catalyst was CEO Andy Jassy’s annual shareholder letter released on April 9, 2026, which disclosed that AWS’s AI services had reached an annualized revenue run rate of more than $15 billion in Q1 2026 — representing roughly 10% of AWS’s overall $142 billion run rate and growing rapidly — while the company’s custom chip business (including Trainium, Graviton, and Nitro) hit a $20+ billion annualized run rate with triple-digit year-over-year growth. This concrete evidence that massive AI investments (including the planned $200 billion in 2026 capex) were already translating into real revenue helped ease spending concerns, triggered analyst upgrades, and sparked multiple expansion as investors rotated back into high-growth tech names. Additional support came from easing geopolitical tensions, new partnerships, and broader market recovery in the sector.
Apple (AAPL) is up 10.76% sinceApril 24th, 2026,primarily driven by its strong fiscal Q2 2026 earnings reported on April 30. The company delivered record results with revenue up 17% year-over-year to $111.2 billion, iPhone revenue surging 22% on robust iPhone 17 demand, and Services hitting an all-time high of nearly $31 billion with 76.7% gross margins. Investors also cheered the announcement of a massive $100 billion share buyback program and a dividend increase, reinforcing confidence in Apple’s capital returns and growth trajectory. This positive momentum, combined with ongoing optimism around upcoming iOS software updates, AI enhancements (including Siri improvements), new hardware like curved displays, and a technical breakout to all-time highs, has fueled sustained buying and pushed the stock to fresh record levels in mid-May.
Nvidia Corporation (NVDA) is up 19.51% sinceFebruary 10th, 2026,fueled by relentless AI demand and strong execution on its growth drivers. The surge accelerated after its blockbuster Q4 FY2026 earnings on February 25, where the company reported $68.1 billion in revenue (up 73% YoY) with data center sales at $62.3 billion, beating expectations and providing robust guidance. Key catalysts included the rapid ramp of the Blackwell GPU platform, a massive order backlog exceeding $1 trillion through 2027 (including next-gen Vera Rubin), resumed H200 chip sales to China via U.S. export licenses, and record AI capital spending from hyperscalers like Meta, Microsoft, Amazon, and Google. Positive momentum from the March GTC conference, strong Big Tech results, and sustained enthusiasm for agentic AI further propelled the stock, overcoming early-year valuation concerns and delivering a powerful rebound in March–April.
Options Trading Strategies Forecasts and Risk Modeling
I Know First's Implied Volatility Options package uses machine learning and big data to identify high-volatility trading opportunities by forecasting both stock price direction and implied volatility across six time horizons. It covers ten core options strategies including Covered Calls, Straddles, and Strangles, delivering directional signals traders can act on directly.
In the latest 1-month forecast period (April 14 to May 14, 2026), the package achieved 10/10 directional accuracy and a 46.63% average return, led by INTC (+77.86%), AXTI (+73.05%), and HUT (+56.78%), versus the S&P 500's 8.93% over the same period.
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 +36.01%return, significantly surpassing the S&P 500’s 31.78% return, which is an alpha of 4.23%. 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.
Stock markets behave as chaotic systems rather than purely random ones, displaying hidden patterns, memory, feedback loops, and self-similarity that make them partially predictable even with sensitivity to small changes. I Know First applies machine learning algorithms, including neural networks and genetic algorithms, to vast historical data to produce daily forecasts complete with signal strength and predictability scores that have consistently outperformed benchmarks.
Chaos vs. Randomness: Markets show stable trends, long-term memory, and potential for sudden shifts, allowing for meaningful probabilistic forecasts instead of relying on pure chance.
Modeling Challenges & Tools: Traditional statistics often fail due to non-linear dynamics and the butterfly effect, which is why tools like the Hurst exponent, fractals, 1/f noise, and fat-tailed distributions help reveal long-memory cycles in market behavior.
Machine Learning Approach: I Know First uses supervised, unsupervised, and deep learning combined with genetic algorithms on over 15 years of data. The system ranks thousands of inputs, self-learns daily, and evolves without human bias to uncover hidden patterns.
Practical Forecasting: Forecasts are generated across 1 to 365-day horizons, each with a Signal score for direction and strength plus a Predictability score for historical accuracy, supporting better risk management and early detection of trends, bubbles, or crashes.
By blending chaos theory insights with self-learning AI, I Know First delivers a practical, data-driven edge for stock market prediction when used alongside disciplined risk management.
I Know First’s Tech Giants Stocks Forecast delivered exceptional 3-month performance (February 13 to May 14, 2026), achieving an average return of 42.5% across its long positions—significantly outperforming the S&P 500’s 9.78% return—with 8 out of 10 trades correctly predicted. Top performers included CIEN at 101.93%, STX at 86.65%, and ON at 67.59%, highlighting the algorithm’s ability to identify strong technology opportunities.
Forecast Package Overview: The Tech Giants Stocks Forecast package provided long recommendations for 10 top tech stocks over a 3-month horizon, using I Know First’s AI-driven signals and predictability scores.
Overall Performance: The portfolio generated a strong average return of 42.5%, beating the broader market by a wide margin while correctly predicting the direction of 8 out of the 10 suggested trades.
Top Performing Stocks: CIEN delivered the highest return of 101.93%, followed by notable gains in STX (86.65%) and ON (67.59%), showcasing the algorithm’s precision in selecting high-potential tech names.
Algorithmic Advantage: Daily forecasts help traders act faster on opportunities, verify their own analysis, and enhance portfolio results by focusing on stocks with the strongest bullish signals in the technology sector.
This 3-month performance demonstrates the consistent value of I Know First’s self-learning AI in uncovering high-return technology stock opportunities when combined with disciplined trading.
Tesla faces a three-front competitive battle across the US, Europe, and China amid slowing revenue growth, declining automotive margins, and intensifying rivalry from both legacy automakers and aggressive EV players. While the energy storage segment is emerging as a high-margin growth driver and software/AI capabilities offer future differentiation, near-term pressures support a Hold stance in the short term with a longer-term Buy outlook if autonomy and AI monetization succeed.
Revenue Trends: Tesla generated $94.8 billion in 2025 revenue, slightly down from 2024, with the US contributing over 50% as the stable core market, China at ~22% showing stagnation, and international markets (including Europe) declining and driving the overall slowdown.
Margin Dynamics: Automotive gross margins have compressed to 17.8% due to price cuts and competition, while total operating margins fell to 4.6%; in contrast, the energy segment has expanded to nearly 30% margins and is becoming a key profitability stabilizer.
US Market Position: Tesla retains 50–60% of US EV sales (down from over 70%) but maintains high-teens automotive margins compared to loss-making competitors like Ford and GM, allowing it to defend volume and profitability despite share erosion.
Europe Challenges: Tesla holds only mid-to-high single-digit market share against dominant legacy players like Volkswagen, with volatile demand driven by regulations and incentives, making the region less predictable and more structurally competitive.
China Pressure: Intense rivalry from BYD (market leader with over 30% share) and others has pushed Tesla’s China market share into the high single digits, forcing repeated price cuts that heavily compress margins in its key volume market.
Strategic Shift: As EV hardware commoditizes, Tesla’s competitive edge is moving toward software, Full Self-Driving, and AI; success in monetizing these high-margin areas will determine whether the company can justify premium valuations despite current headwinds.
Tesla’s near-term outlook remains balanced with competitive and margin pressures, but successful execution on AI and autonomy could drive significant long-term upside and reinforce its leadership in the evolving EV and energy landscape.
Most Popular Stock Forecasts Beast S&P 500 By 17.61%: Read Here:
April 2026: How I Know First AI Outperformed $100B+ in Hedge Fund Capital: Read Here:
CEO Weekly Letter
Dear Fellow Investors,
The major indices closed the week essentially flat. The S&P 500 gained a modest 0.13%, extending its winning streak to seven consecutive weeks. The Dow declined 0.17% and the Nasdaq slipped 0.08%.
In a week when the S&P 500 gained 0.13%, the I Know First AI Monthly Portfolio reached a new milestone. Since inception, the portfolio has now generated a cumulative total return of 36% - compared to the S&P 500's return of 31.78% over the identical period.
This is a live, documented track record. Not a backtest. Not a simulation. A real portfolio of 10 algorithmically selected stocks and ETFs, rebalanced every four weeks, distributed to subscribers before each cycle begins - and now sitting at an all-time record return that exceeds the benchmark by a meaningful and widening margin.
In a flat market week, the portfolio hit its highest point since launch. That is precisely the kind of benchmark-independent performance that systematic, algorithmic portfolio construction is designed to produce.
Join now and get the last cycle for free and 3 monthly portfolios.
On Tuesday, June 2nd, we are hosting a live webinar focused on two of the most consequential questions facing investors right now: which stocks is the AI algorithm most bullish on heading into June, and what does the signal landscape look like for the second half of 2026.
The first half of the year has been one of the most extraordinary periods in recent market history - a significant drawdown, a geopolitical shock, an oil move from $66 to above $100, a historic seven-week recovery to all-time highs, and an AI portfolio that has now outperformed the S&P 500 since inception by a meaningful and widening margin.
The second half begins in less than six weeks. The algorithm is already generating its forward signals. Tuesday, June 2nd is where we share them - live, in real time, with the same transparency we demonstrated when MXL returned 41% and INTC returned 32% in the week following our last live session.
Register now. Seats are limited and the signal discussion will be specific, data-driven, and directly actionable.
The options genetic algorithm package achieved a directional accuracy rate of 8 out of 10 over the 3-day forecast period. MRAM registered the leading return of 53.61%. REPL followed with 30.22% and DGXX contributed 27.6% - and it is worth noting that both REPL and DGXX extended their gains further on Friday, adding an additional 5.88% and 4.4% respectively in a single session. The overall package average return of 12.53% represents a market premium of 11.92 percentage points over the S&P 500's return of 0.61% during the same period.
In a week when the broad market barely moved, the algorithm identified three names generating returns of 27%, 30%, and 53% within 72 hours. That is not a market story. That is a signal quality story.
The 7-day options genetic algorithm package achieved 8 out of 10 correct directional predictions. MRAM was again the leading performer - this time with a return of 88.45% over the 7-day period. DGXX followed with 15.71% and EVC contributed 14.95%. The overall package average return of 11.8% represents a market premium of 9.95 percentage points over the S&P 500's return of 1.85% during the same period.
MRAM appearing as the top performer at both the 3-day and 7-day horizons - with returns of 53.61% and 88.45% respectively - reflects the cross-time-frame signal consistency that characterizes the algorithm's highest-conviction calls. When the same name carries strong signal strength at multiple horizons simultaneously, the underlying conviction is structural rather than tactical.
10 out of 10. Every single position in the 14-day quantitative trading package moved in the predicted direction. UMC registered the leading return of 34.35%. AMD followed with 33.4% and QCOM contributed 28.26%. The overall package average return of 19.68% represents a market premium of 14.56 percentage points over the S&P 500's return of 5.12% during the same period.
A perfect directional accuracy rate across a 14-day window that included some of the most significant earnings announcements of the season. UMC, AMD, and QCOM are not obscure names - they are among the most institutionally covered equities in the global semiconductor sector. Generating a 10/10 accuracy rate on names of this profile, at this level of market coverage and analytical scrutiny, reflects a depth of signal generation that is genuinely difficult to replicate through conventional research approaches.
10 out of 10. A second consecutive perfect accuracy rate - this time at the 1- month horizon. INTC delivered the leading return of 77.86% over the forecast period - marking yet another appearance by Intel at the top of an I Know First package. The algorithm has now maintained bullish conviction on INTC continuously since January 2026, generating +70% from the original signal, +49% from the April signal, +32% from the May webinar signal, and now +77.86% at the 1-month horizon. AXTI followed with 73.05% and HUT contributed 56.78%. The overall package average return of 46.63% represents a market premium of 37.70 percentage points over the S&P 500's return of 8.93% during the same period.
Two perfect accuracy readings - 10/10 at 14 days and 10/10 at 1 month - in the same week. In a market that barely moved 0.1%.
The 3-month implied volatility package achieved 8 out of 10 correct directional predictions and produced what is, by any institutional measure, an extraordinary result at the individual security level.
AXTI generated a return of 416.67% over the 3-month forecast period. WDC followed with 96.46% and LITE contributed 87.63%. The overall package average return of 78.01% represents a market premium of 71.22 percentage points over the S&P 500's return of 6.79% during the same period.
416%. In three months. From a published, timestamped signal. AXTI was identified by the algorithm when the implied volatility universe flagged it as a high-conviction long - a name where the gap between market uncertainty and algorithmic directional confidence was at its widest. That gap resolved in the direction the algorithm predicted. At a magnitude that is, by any institutional standard, exceptionally difficult to contextualize within conventional return frameworks.
The overall package - averaging 78.01% across all positions over three months - represents the compounding effect of systematic implied volatility signal generation applied across a diversified universe of high-conviction names.
Two Ways to Stay Engaged
1. Get Daily AI Forecasts - Each morning, algorithmically generated stock selections across 6 time frames covering short, medium, and long-term horizons. Updated daily, covering the full investment universe, and delivered prior to market open.
2. Join the Monthly Portfolio- A curated 10-position portfolio of stocks and ETFs, rebalanced every four weeks. Now at an all-time record return of 36% since inception. The most recent rebalancing was completed this past Wednesday. Not too late to join the current cycle.
Warm regards, Yaron GolgherCEO, I Know First
Past performance is not indicative of future results. All investments involve risk. Short selling and options trading carry significant risks and are not suitable for all investors. I Know First forecasts are algorithmic signals intended to supplement independent investment analysis and professional financial guidance.
I Know First Most Popular Package Of The Week
Top 10 Stocks Forecast Package
Includes daily forecasts for:
Top Implied Volatility Stock Forecast for long and short positions.
6 time ranges: 3 days, 7 days, 14 days, 1 month, 3 months and 1 year
Investment universe: Energy Sector
Check some recent forecasts' performances: 7 Days, and 1 Year!
Apple is advancing several key technologies that could shape its future product lineup and stock appeal. The company is developing a second-generation four-edge curved display for the 2027 iPhone anniversary model, to be introduced in two phases: first with OLED and magnesium-silver alloy (which may cause minor distortion and brightness loss), followed by indium zinc oxide (IZO) transparent electrodes for improved performance and narrower bezels, with Samsung Display and LG Display preparing for mass production. On the Vision Pro front, Apple has no plans for a successor in the next two years after the October 2025 M5 refresh; the “Vision Air” project was canceled, and the team is now prioritizing lighter/cheaper hardware, smart glasses, enhanced Siri, and other AI-powered wearables. Finally, Apple is set to equip the entire iPhone 18 lineup with its own in-house modems (phasing out Qualcomm), enabling a new “Quiet Privacy” feature called Limit Precise Location in iOS 26.3, which significantly reduces location data shared with carriers without impacting signal quality or emergency services; this privacy benefit will expand across the lineup with the upcoming C1/C2 modems, while a more advanced C2 modem with mmWave 5G is also in development.
