I Know First
Weekly Newsletter | June 7th, 2026

• Read Here: How To Short Sell
• Watch Here: I Know First Webinar Replay

Need To Know First!

• Options Package Based on AI: Returns up to 66.00% in 3 Days
• High Short Interest Based on Machine Learning: Returns up to 30.19% in 7 Days
• Options Forecast Based on AI: Returns up to 68.97% in 14 Days
• Cybersecurity Stocks Based on AI: Returns up to 104.39% in 1 Month
• Implied Volatility Options Based on AI: Returns up to 162.33 in 3 Months
• SOXX Stocks Based on AI: Returns up to 712.88% in 1 Year
• Amazon Inc (AMZN) is up 22.43% since March 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 13.38% since April 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 8.78% since February 10th, 2026,  primarily driven by explosive ongoing demand for its Blackwell AI GPUs, which are largely sold out and powering massive hyperscaler infrastructure builds. The company delivered record results, including Q4 FY2026 revenue of $68.1 billion (up 73% YoY) and full-year revenue of $215.9 billion (up 65%), with data center sales dominating. A multi-hundred-billion-dollar order backlog through 2026–2027, combined with strong execution on next-generation platforms like Vera Rubin, has reinforced investor confidence in NVIDIA’s AI leadership. Despite occasional volatility and profit-taking, sustained AI capital expenditure by Big Tech has kept the upward momentum intact.

Weekly Winning Forecasts

Chaos Theory Revealing How The Stock Market Works

Stock markets are complex chaotic systems governed by feedback loops, patterns, and randomness, making them partially predictable rather than fully efficient or completely random. Chaos theory, combined with AI-powered algorithms like I Know First, enables realistic forecasts by identifying recurring dynamics and self-similar patterns over longer time horizons.

• Markets operate as complex systems with both systemic patterns and random elements (butterfly effect), allowing short-to-medium term predictions despite vulnerability to small perturbations that trigger bubbles, crashes, or volatility spikes.
• Positive feedback loops drive exponential growth and instability (e.g., bubbles), while negative loops stabilize prices around equilibrium; the market often behaves like a “drunken driver” oscillating around fair value, with randomness amplified by events like flash crashes or HFT glitches.
• Price patterns emerge clearly on longer time scales (e.g., 5-year charts) but are hard to spot short-term; successful trading requires identifying the current regime (positive/negative feedback or randomness) across different time horizons.
• I Know First’s self-learning algorithm uses AI, neural networks, and genetic methods on 15+ years of data to generate daily forecasts (1–365 days) with signal strength and predictability scores, helping traders act on strong opportunities while avoiding low-confidence periods.

Options Package

I Know First’s AI-powered algorithm has shown impressive results across its Options and Option Stocks packages, delivering strong positive returns on long positions with notable outperformance versus the S&P 500. Highlights include a 66.30% average 1-year return for Top 5 Signals (beating the S&P 500 by 44.50%) and a 42.93% average 3-month return in the latest Options forecast (versus S&P 500’s 10.63%), with individual winners reaching as high as 192.48%.

• In the Option Stocks package (Feb 2025–May 2026), the AI achieved a top 1-year return of 66.30% with Top 5 Signals while beating the S&P 500 by 44.50% in most signal groups and horizons, with returns and hit ratios (up to 81%) improving over longer timeframes.
• The latest 3-month Options forecast (Mar–Jun 2026) delivered an average return of 42.93% compared to the S&P 500’s 10.63%, correctly predicting 8 out of 10 movements with standout gains such as 192.48% on AXTI, 140.26% on AAOI, and 46.83% on LITE.
• The self-learning AI system leverages machine learning, neural networks, and genetic algorithms to produce unbiased signal strength and predictability scores, consistently generating positive average returns across signal filters and horizons.
• Top Signals consistently outperformed, offering traders a data-driven edge for both short-term options plays and longer-term positions in volatile stocks.

Overall, I Know First’s AI demonstrates powerful predictive capabilities for options-related strategies, providing substantial outperformance over the S&P 500 across multiple time horizons and reinforcing its value as a robust algorithmic trading tool.

Example Forecast:

Read More:

Short Selling: When Should You Short Sell?

I Know First’s self-learning AI algorithm supports effective short-selling strategies by generating strong negative signals for stocks and options, particularly in its Implied Volatility Options package designed for bearish trades. This enables traders to profit from downward price moves in high-volatility stocks while overcoming common psychological barriers to shorting in a predominantly bullish market environment.

• Short selling works by borrowing and selling shares (or using put options) at a high price then buying them back lower, but it requires a margin account, carries unlimited risk if prices rise, and demands disciplined risk management with stop losses.
• Many investors avoid shorting due to constant bullish bias from media, companies, governments, and institutions that benefit from rising markets, even though short sellers help stabilize prices by curbing overvaluation and reducing volatility for all participants.
• The AI leverages machine learning, neural networks, and genetic algorithms to produce unbiased signal strength and predictability scores, clearly highlighting the strongest negative forecasts ideal for short positions or put options.
• In the recent 3-day Implied Volatility Options package, the AI achieved a perfect 10/10 hit rate on predicted decreases with an average return of 12.21% (outperforming the S&P 500 by 14.46%), including standout gains up to 25.3%, demonstrating strong short-side predictive power.

I Know First Webinar Replay

I Know First hosted a free Artificial Intelligence Forecasting Webinar on Wednesday, June 3, 2026, at 11:00 AM ET, covering the Top Stocks for June 2026 and the H2 market outlook powered by its self-learning AI algorithm. The session featured live demonstrations, deep dives into key tickers, and direct interaction with the research team.

• June Stocks — the I Know First Artificial Intelligence algorithm’s top picks for June 2026 and the neural network signals driving them
• 2026 H2 AI Picks — where the machine learning algorithm sees the strongest opportunities in the second half of the year
• Tickers deep dive — live neural network signal analysis for NVDA, MU, and INTC across multiple time horizons
• Live Q&A with the I Know First Artificial Intelligence research team

Trading Fast and Slow

• High-frequency trading relies on ultra-fast algorithms for tiny profits from arbitrage and short-term fluctuations, but it demands massive computing power, constant upgrades, and is now mostly limited to large institutions amid rising costs and regulatory scrutiny.
• Slower strategies like intraday scalping, swing trading (holding for days/weeks), and position trading (holding for months) focus on price swings or longer trends using technical analysis and are far more practical for retail investors as they require less capital and real-time monitoring.
• I Know First’s self-learning AI uses machine learning and genetic algorithms to deliver daily forecasts across 3 to 365-day horizons, generating clear signal strength (positive for longs, negative for shorts) and predictability scores based on historical accuracy.
• The AI complements slower trading styles by predicting market direction and trend strength, assisting with optimal entry/exit timing for swing and position traders while incorporating chaos theory to handle volatility.

Read Here:

• i24 News Feature: Watch Here:
• I Know First Takes Center Stage as Winner of FinTech Competition In Investment World: Read Here:
• Computer Stocks Beat S&P 500 By 61.61%: Read Here:

CEO Weekly Letter

Dear Fellow Investors,

The S&P 500 lost more than 2% on the week - its first negative week in ten. The Nasdaq tumbled 4.7% following Friday's losses. The Dow closed modestly lower.

Chaos Is Not the Enemy. It Is the Signal.

Read: Stock Market Forecast & Chaos Theory - How the Market Actually Works

Most investors treat market volatility as noise to be endured. The I Know First algorithm treats it as data to be processed. Our approach to market forecasting is grounded in chaos theory - the mathematical framework that reveals how complex, seemingly random systems contain hidden patterns of order. The stock market is not random. It is chaotic - which is a fundamentally different thing. Chaotic systems are deterministic at their core, governed by underlying dynamics that are difficult to detect but entirely real. And a self-learning algorithm trained on decades of market data is precisely the kind of system designed to detect them.

The Week the Short Side Delivered

Read: How and When to Use AI for Short Selling

Most investors only think in one direction. They buy stocks they believe will rise and wait. In a week like this one - where the Nasdaq fell 4.7% - that approach is painful. But I Know First subscribers have access to something most investors do not fully appreciate: every single forecast package we publish includes 10 stocks to short.

As a fully developed, algorithmically generated short list - updated at every time frame, across every sector, with the same signal depth and directional precision as our long picks.

This week, that capability delivered one of its most remarkable results of 2026.

View the Implied Volatility Big Data 3-Day Short Forecast

10 out of 10. Every single position in the 3-day implied volatility package moved in the predicted direction - downward. PL saw a price change of 25.3% in just 3 days. MRAM followed with 17.19% and AXTI contributed 16.55%. The overall package average return of 12.21% represents a market premium of 14.46 percentage points over the S&P 500's return of -2.25% during the same period.

The algorithm's short package returned +12.21%. A 14.46-point swing - generated not despite the market falling but because the algorithm had already identified which specific stocks would fall hardest and fastest.

Last Week's Webinar - And Why the Deals Close Soon
Watch the Full Webinar Replay

Last week we hosted one of our most substantive live sessions of the year - covering the algorithm's highest-conviction positions for June and H2 2026, a live demonstration of the AI Dashboard, and a detailed walkthrough of how to use our AI predictive algorithm to identify opportunities in the market everyday.

The replay is available now. I would strongly recommend watching it as a practical guide to using our tools in the current environment.

This is the last chance to access the exclusive webinar deals. The offers close shortly - and among the packages available exclusively through these deals is one that I want to highlight specifically.

Access the Exclusive Webinar Deals - Last Chance

The Cybersecurity Package - The Sector Built for This Environment

There is a structural reason why cybersecurity stocks belong in every serious investor's consideration set right now - and it has nothing to do with short-term market direction.

Cybersecurity spending is non-discretionary. In an environment of elevated geopolitical risk, accelerating AI adoption, and increasingly sophisticated threat actors, enterprise and government cybersecurity budgets are not being cut. They are growing.

The I Know First algorithm identified this dynamic months ago. Here is what the forecasts have documented:

1 Month - Cybersecurity Package: 8/10 Accuracy, FTNT +73.45%, Package Average +28.17%

View the Cybersecurity AI 1-Month Forecast

The algorithm successfully predicted 8 out of 10 movements in the 1-month cybersecurity package. FTNT delivered the leading return of 73.45%. CRWD followed with 57.82% and PANW contributed 54.21%. The overall package return of 28.17% represents a market premium of 23.27 percentage points over the S&P 500's return of 4.9% during the same period.

3 Months - Cybersecurity Package: 9/10 Accuracy, FTNT +84.55%, Package Average +47.1%
View the Cybersecurity AI 3-Month Forecast

The 3-month package achieved 9 out of 10 correct directional predictions. FTNT again led with a return of 84.55%. CRWD followed with 83.71% and PANW contributed 78.9%. The overall package return of 47.1% represents a market premium of 35.84 percentage points over the S&P 500's return of 11.26% during the same period.

Two time frames. Two high-accuracy results. Three names - FTNT, CRWD, PANW - appearing at the top of both packages simultaneously. This cross-time-frame consistency reflects the algorithm's sustained structural conviction in the cybersecurity sector - and it is available exclusively through the webinar deals that close shortly.

Most Notable Forecasts This Week

• Up to 66.0% in 3 days - Options deep learning
• Up to 53.65% in 7 days - High short interest stocks, AI
• Up to 68.97% in 14 days - Options self-learning algorithm
• Up to 73.45% in 1 month - Cybersecurity AI package
• Up to 162.33% in 3 months - High implied volatility AI
• Up to 712.88% in 1 year - SOXX semiconductor stocks, AI

The 1-year SOXX signal of 712.88% deserves particular attention. In a week when the Nasdaq fell 4.7% and sentiment toward technology turned sharply negative, the algorithm's 1-year semiconductor conviction has not changed. Short-term volatility and long-term structural signal are two different things. The algorithm distinguishes between them precisely - and this week's selloff has not altered its 12-month read on the semiconductor sector.

A Note on This Week's Market Action

Ten winning weeks followed by the Nasdaq's worst week in months. This sequence - extended winning streaks followed by sharp corrections - is one of the most well-documented patterns in market history. It is also one of the patterns that chaos theory helps explain.

Markets do not move in straight lines. They move in complex, non-linear patterns that contain embedded signals - signals that are invisible to conventional analysis but detectable by a self-learning system with sufficient data depth and processing capability. The correction that arrived this week was not random. It was the resolution of a tension that had been building in the data for weeks.

The question for investors now is not whether the volatility will continue. It likely will. The question is whether you have the tools to find opportunity within it - on both the long and short sides, across multiple time frames, with algorithmic precision rather than emotional reaction.

Read: Chaos Theory and the Stock Market - The Full Analysis

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. The last rebalancing took place 10 days ago - the full holding period remains ahead.

Chaos is not the enemy. For those with the right tools, it is the signal. The algorithm is processing it right now.

Warm regards,
Yaron Golgher CEO, 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.

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