Missed yesterday's special webinar? No problem! The whole thing is up on YouTube. Meet Ben Rubin, the head of our advisory service, and Yaron Golgher, our CEO, and listen to their discussion on the current political state, it's impact on the market, and even get a sneak peek at our algorithm's top recommendations for the month of July. (Hint: We're excited about XSD!)
I Know First AI-Powered Portfolio: Beat the Market with AI-Driven Stock Picks
The I Know First AI Portfolio is a monthly-rebalanced, long-only stock portfolio created using proprietary deep learning algorithms. Each month, I Know First professionals analyze thousands of stocks across multiple time horizons and selects the best stock picks.
The result: a smart, optimized list of stock picks designed to outperform the market.
While we’re fully transparent with our performance data, the actual holdings of our current portfolio remain exclusive to our subscribers. This helps preserve the integrity of our signals and gives our clients a unique advantage. Subscribe now to get access to the next AI-generated portfolio before our next rebalancing.
AI Portfolio Management: Why Institutions Are Quietly Moving to AI - And I Know First Is Leading The Way
Across global markets, a major transformation is underway: institutions are integrating AI portfolio management into the core of their investment strategies. Once considered experimental, AI tools are now practical, scalable, and essential for firms seeking to stay ahead. From identifying subtle market patterns to enhancing stock selection, AI is rapidly becoming a cornerstone of modern portfolio construction. Even major financial research institutions have acknowledged the value of AI-driven forecasting in uncovering opportunities that traditional models often overlook.
At I Know First, AI isn’t a concept—it’s the engine behind our daily operations. Our self-learning algorithm generates forecasts for over 13,500 assets worldwide, empowering institutional clients to adjust strategies in real time across multiple time horizons. With ranked signals, confidence scores, and daily recalibration, our system equips portfolio managers with the clarity and speed needed to navigate volatile markets. The result? Stronger, more responsive investment decisions fueled by AI precision and human insight.
On March 18, 2025, we said KTOS was a strong buy because it was rallying while the broader market was down, showing relative strength backed by improving fundamentals—its net margin turned positive at 1.38% with $4M in net income after a rough 2022. We noted steady revenue growth since 2017, especially in its Government Solutions division, and highlighted a new $3.4M Navy contract that could scale to $19.1M. Our AI model flagged KTOS as a top pick with high signal and predictability on the one-year forecast, even while most other stocks showed negative signals. Technically, it was approaching key resistance with momentum, and our past KTOS forecast in October already beat the market with a 19.15% gain in three months versus the S&P’s 0.84%. Since then, KTOS is up by 39%.
On February 27, 2025, we said Microsoft was the better investment over Apple because its financials were more stable and efficient—its net margin was higher at 34.6% and remained steady, while Apple’s 29% margin showed more volatility. We pointed out that Microsoft’s revenue is growing across all segments, unlike Apple’s, where product categories like iPads and wearables were flat or declining. Microsoft’s cost of revenue was also only one-third of Apple’s, despite having half the total revenue, which reinforced its operational advantage. On the AI front, we said Microsoft’s Co-Pilot was more mature and seamlessly integrated across the Microsoft ecosystem, whereas Apple Intelligence, while promising, was still working through technical issues. Additionally, we noted Microsoft’s strategic edge in innovation, like launching a quantum computing chip, and interpreted its cancellation of some data center leases as a prudent scaling decision, not a red flag. Finally, our AI forecast showed Microsoft with both a stronger signal and higher predictability than Apple on short- and long-term timeframes, making it the more attractive pick. Since then, MSFT is up by 20% and AAPL is down by 17%.
NVDA Stock Forecast: Riding the AI Revolution Wave
NVIDIA has evolved from a gaming-focused GPU manufacturer into the dominant force behind AI infrastructure worldwide, now boasting a market capitalization surpassing $3 trillion. Fueled by explosive demand for its Data Center solutions—especially Blackwell AI supercomputers—the company has achieved record-breaking financials, including $39.3 billion in Q4 FY25 revenue and a 73% GAAP gross margin. With Data Center revenue now making up over 90% of total income, NVIDIA has firmly positioned itself at the heart of the AI revolution.
This surge in performance is matched by disciplined financial management. Operating expenses rose just 28% year-over-year compared to a 114% increase in revenue, resulting in expanding profit margins and strong operational leverage. With over $26 billion in cash and investments and nearly $43 billion in free cash flow, NVIDIA maintains exceptional financial flexibility. For investors, the company’s unmatched growth trajectory, premium positioning in AI computing, and sustained innovation across hardware and software suggest long-term potential—despite elevated valuation metrics.
At I Know First, we don’t just use AI—we are AI-first. Our proprietary self-learning, deep-learning predictive model is the invisible analyst working 24/7. Unlike traditional strategies, our algorithm evolves daily and adapts in real-time, uncovering opportunities others miss.
Highlights from Our AI Investing Webinar
Yesterday, we held a live webinar exploring how our AI-powered algorithm helps investors identify hidden opportunities. We broke down:
How our self-learning AI evolves over time
Real-time portfolio applications
Strategies for staying ahead of the market using pattern recognition and deep learning
The ongoing conflict between Israel and Iran continues to fuel uncertainty in global energy markets. Our AI models have responded by identifying strong bullish signals across the energy sector.
Our mission remains clear: to empower you with the tools to act on tomorrow’s trends today. Whether it's energy shocks, market volatility, or sector momentum, our AI adapts—so you don’t have to guess.
Apple is making a strategic push into generative AI to streamline and accelerate the design of its own chips. By working closely with top providers of automated design tools, Apple aims to enhance the efficiency and quality of its microchip development process. This internal focus on AI-driven innovation serves as a way for the company to stay competitive, especially as it lags behind in more public-facing AI initiatives. At the same time, Apple is preparing for a major product release: a foldable iPhone set to debut in 2026 alongside the iPhone 18 lineup. The device is expected to feature a 5.5-inch folded and 7.8-inch unfolded display, hidden under-display cameras, and Touch ID authentication, with a projected price range of $2,000 to $2,500.
Meanwhile, Apple is facing legal challenges in California, where a class-action lawsuit accuses the company of monopolizing the backup process for iPhone users through iCloud. Plaintiffs claim that Apple restricts third-party services from providing full system-level backups, effectively forcing consumers to use iCloud subscriptions. While Apple argues that these policies are rooted in privacy and security considerations, the case is moving forward, adding pressure to the company’s already complex legal and competitive landscape.
