Recently, market volatility has been significant, with many growth stocks experiencing extreme ups and downs. However, I believe that some stocks have started to reach a position suitable for long-term investors to gradually build their holdings. Lately, I’ve been paying close attention to TSLA and SOFI. On the surface, these two companies are in completely different sectors—one is involved in electric vehicles, AI, and robotics, while the other focuses on fintech and digital banking. But I think they share one commonality: the market is still analyzing them using traditional frameworks, while their true long-term value may already be shifting in another direction. Therefore, when I look at these two stocks now, I'm not betting on whether they will rebound tomorrow or solely focusing on short-term technical indicators. Instead, I feel that if we extend the timeline to the next two to three years, or even three to five years, the current divergence and volatility might present an ideal opportunity to slowly build positions.
Let’s start with TSLA. Many people still focus on Tesla's vehicle sales, gross margins, competition in the Chinese market, price wars, and similar issues. These factors are undoubtedly important because the automotive business remains Tesla’s core foundation—if car sales decline, cash flow and market confidence will both suffer. However, I believe that viewing Tesla purely through the lens of a traditional automaker can be overly limiting. What makes Tesla truly unique isn’t just its ability to produce electric cars; it’s that the company has already secured some of the hardest-to-obtain elements for real-world AI: real-road data, hardware terminals, a network of vehicle owners, manufacturing capabilities, energy systems, and AI training infrastructure. While many AI companies are still stuck within screens, processing text, images, videos, and office efficiency tools, Tesla is integrating AI into the real world—enabling AI to understand roads, spaces, movement, driving, energy, and mechanical actions. The complexity of this task far exceeds building a simple software application, but if successful, its commercial value would also be unprecedented.

Friends who have recently stayed in the market should all share the same feeling: this market is not short of volatility, but what it lacks is solid confidence.
Good news doesn't necessarily lead to a rise; any hint of bad news tends to be exaggerated into a selloff. The default state of the entire market now is one of caution, where 'less is more.' This isn't just my random feeling:
According to AAII's latest sentiment survey as of February 11, bulls account for 38.5%, bears 38.1%, and neutrals are down to only 23.3%. In essence, both sides are arguing fiercely, but deep down, nobody really has much conviction. This kind of market environment is the most treacherous because prices no longer follow fundamentals—they're entirely driven by sentiment. Meanwhile, CNN's Fear & Greed Index also dropped to 36 on February 13, officially entering the fear zone, showing a notably cold market sentiment.
Here, I want to share with you the most honest thought from the bottom of my heart:
The vast majority of opportunities that can make you big money don’t come from companies suddenly becoming amazing, but rather from the market getting spooked and jacking up the discount rate to astronomical levels.
Once fear sets in, risk premiums soar accordingly, and the market will use an absurdly harsh set of standards to price future cash flows of companies—even if nothing about the company itself has worsened, its stock price will still get hammered first.
Think about it, what exactly do we mean by 'wrongfully beaten down'? It's not about giving you a dirt-cheap price to pick up bargains—it's when the market goes crazy and uses one quarter’s worth of issues to brutally...

[Overall Viewpoint] It's the exciting earnings season. I don't gamble on who will beat estimates based on 'online consensus.' I only bet on one thing: whether the market is willing to pay a higher valuation for 'certainty in the next quarter.' Right now, what’s most sensitive isn’t the EPS line on the income statement but management’s outlook for 2026 (how revenue grows, how costs are controlled, how Capex is spent, how cash flow returns). If these four things aren’t clear, even beautiful numbers can still lead to a drop; conversely, if the numbers aren’t explosive but 'predictability is stronger,' it might be easier for the stock to rise.
[Biggest Noise Source This Week] You have to admit: On the same day, there’s both the FOMC meeting and post-market earnings reports from tech giants, and the movements after earnings are often subject to macro 're-pricing.' This Fed meeting is on January 27–28, with the policy statement released at 2:00 PM ET on January 28, followed by Powell’s press conference at 2:30 PM ET. This will first affect interest rate expectations and long-term yields, which then influence the discount rates and risk appetite of high-valuation stocks.
[Earnings Schedule] Key companies’ schedules are highly concentrated this week: Microsoft releases after-market on January 28, conference call at 2:30 PM PT; Meta releases after-market on January 28, conference call at 1:30 PM PT / 4:30 PM ET; Tesla releases after-market on January 28, Q&A at 5:30 PM ET; Apple’s conference call is at 2:00 PM PT / 5:00 PM ET on January 29; ...

This article first clarifies its positioning: it is not an in-depth analysis of each of the six stocks but rather a preview, or a 'master map.' I want to thoroughly explain why I am focusing on these six stocks, how I plan to enter the market, how I will phase my purchases, and how I will take profits. Following this, I will write individual analyses for each stock, focusing on one company at a time. Each article will cover key points from financial reports, core metrics, potential catalysts, risk factors, and how I intend to respond, ensuring actionable insights.
To put it bluntly, my recent stock selection criteria are very pragmatic and realistic. I no longer want to confuse myself with buzzwords; instead, I care more about whether a company has stable revenue-generating capabilities. Ideally, the more indispensable the service becomes to users, the more reasonably it can charge them. In an environment where interest rates are not low, the market shows more patience toward companies that can embed growth into cash flow and becomes stricter on purely sentiment-driven narratives. You will notice that Microsoft (MSFT), Amazon (AMZN), NVIDIA (NVDA), Visa (V), Eli Lilly and Co (LLY), and Costco (COST) may appear to represent six different sectors on the surface, but fundamentally, they all operate as 'revenue systems.' In my view, the stocks I have selected are those capable of generating long-term income.
Below, I will directly present my trading plan. You can consider it an executable template, but there’s no need to rigidly adhere to it. First, I want to clarify that the significance of price levels is not to predict the future but to help you avoid two things: first, chasing highs driven by emotional peaks; second, being unsure whether to add positions after a decline, which could result in being unable to hold the position while feeling uneasy. My habit is to establish three elements for each stock: the entry point for the initial position, how to scale into additional purchases, and how to take profits incrementally. There’s also a hidden rule: if the fundamental logic starts deteriorating after a drop to a certain level, it’s not a signal to add more but to stop—or even retreat.