The 45x Method of X's Hottest Trader, Serenity

Preface: The Rise of a Stock God

Recently, an investor named Serenity (Twitter handle @aleabitoreddit) has exploded in popularity on the X platform.

Let the data speak:

📈 2026 YTD Return: 4502.45%
🌟 Follower Count: From 0 to 500,000 (within 4 months)
💬 Community Subscribers: 40,000+
🎯 Public Track Record: 25 stocks with 100%-1000% gains

But what's even more outrageous is that his methodology is changing the mindset of global investors everywhere. People are repeating his "supply chain bottleneck theory" all over.

The goal of this article is simple: to deeply dissect the ideological system behind this "Silicon Photonics Myth" and let you learn his thinking framework, not just blindly follow his stock picks.

Part 1: Investment Philosophy | "I'm Not Trying to Be Smarter Than Institutions, Just Faster"

Core Philosophy: The Physical Constraints Theory of AI Infrastructure

Serenity's most crucial statement goes like this:

"The physical bottlenecks of AI infrastructure will be solved one layer at a time. Each time one layer is solved, capital flows to the next layer—my job is to always be waiting at the door of the next layer."

This isn't motivational fluff; it's a systematic investment framework.

Let's break down this statement:

First Layer Meaning: Physical Constraints Are Absolute Unlike software which can scale infinitely, underlying materials like silicon photonics, CPO, and Indium Phosphide (InP) have absolute supply ceilings. When NVIDIA announced it would use CPO, the global CPO production capacity became the bottleneck. This bottleneck doesn't disappear just because everyone buys in; on the contrary, it becomes increasingly valuable.

Second Layer Meaning: The Dynamic Drift of the Supply Chain In 2023, NVIDIA faced a chip shortage; the bottleneck was at TSMC. In 2024, people realized optical communication was the next bottleneck, so capital flowed to optical chips. In 2025, a laser source shortage was discovered, so capital ran upstream to InP suppliers. What Serenity does is see the next bottleneck one step ahead.

Third Layer Meaning: The Time Gap Window This is key—due to their size and compliance restrictions, large institutional funds typically discover new bottlenecks 1-2 quarters later. A significant portion of Serenity's alpha comes precisely from this time gap. He's already built his position before the Bloomberg report comes out.

Valuation Logic: Not Looking at P/E, Looking at "Mismatch"

Serenity never uses traditional P/E valuation. He uses a simple yet lethal framework:

A stock's true value = The market size it bottlenecks / Its market share

Signal of an undervalued stock = Market Cap << The market value it can bottleneck

Typical Case Analysis:

Company	Market Cap	Bottlenecked Market	Signal Strength
$SIVE	$150M (at the time)	CPO Laser Sources ($100B+)	🔥🔥🔥
$AXTI	$700M	Global InP Substrates ($50B+)	🔥🔥🔥
$SOI	$3B	Silicon Photonics Substrates (Exclusive)	🔥🔥

See? $SIVE's market cap was only $150 million at the time, yet it monopolized the most critical laser source in the CPO chain. This isn't just a matter of cheap valuation; it's the market not yet pricing in this bottleneck.

Serenity himself said:

"If there's an extreme mismatch between market cap and the market it bottlenecks, it means the market hasn't noticed this bottleneck yet. That's my trading opportunity."

Source of Information Edge: Read NVIDIA's Words, Not Analysts' Words

How do most investors do their homework?

Read brokerage research reports ❌
Read analyst forecasts ❌
Read financial data ❌ (Of course they do, but it's not the priority)

How does Serenity do it?

✅ Read NVIDIA CEO Jensen Huang's words directly — He explicitly outlines the upcoming technology roadmap in earnings calls, speeches, and interviews.
✅ Reverse-engineer the supply chain — Since NVIDIA says it will use CPO, deduce: Who makes CPO chips? What materials do those chips need? Who monopolizes those materials?
✅ Use financial data for verification — Wait for institutions to discover it, then use impressive quarterly data to confirm his own judgment.
✅ Monitor patents and partnership announcements — Read the signal of tight InP capacity from announcements like the AXTI and Wolfspeed partnership.

He makes his entire reasoning process completely transparent. Investors in the Chinese community use this process to "reverse-engineer" his way of thinking. A friend in the Chinese community wrote:

"I realized Serenity's greatest strength isn't his stock picks, but how he shows us 'how to ask the right question.' Not 'how high will this stock go,' but 'what bottleneck does this company hold?'"

Part 2: Analysis Method | The Five-Step "Reverse Engineering" of the Supply Chain

Step 1: Identify the Infrastructure Bottleneck

Ask yourself: What does NVIDIA's (or other tech giants') next architectural evolution require?

Examples from 2023-2024:

NVIDIA says CPO is inevitable → Needs optical chips → Needs laser sources
NVIDIA says it will use HBM → Needs high-bandwidth chips → Needs advanced packaging
NVIDIA says AI chip power consumption is the next issue → Needs new cooling solutions → Needs special materials

Information Sources:

Earnings Call Transcripts
CEO Keynotes
Technical White Papers
Patent Applications

Step 2: Track the "Bottleneck" Nodes in the Supply Chain

NVIDIA's supply chain is complex. But the key isn't how long the chain is, but which link is hardest to replace.

Serenity's Judgment Criteria:

🔴 Only 1-2 companies can do it ← Highest degree of monopoly
🟡 Expansion takes 3-5 years ← Short-term supply-demand imbalance
🟢 Customers can't do without it ← Technologically difficult to replace

For CPO laser sources ($SIVE):

✅ Only Sivers + Ayar + Intel (just starting) can do it
✅ SIVE's expansion plans won't fill the capacity gap until 2026-2027
✅ Once the CPO architecture is finalized, the light source is hard to replace

Meeting all three conditions = Absolute bottleneck.

Step 3: Use the Ratio of Market Cap to Market Size to Find "Mismatch"

This step is Serenity's most unique.

Mismatch Ratio = The market size this company can bottleneck / The company's current market cap

Mismatch Ratio > 100x = Extreme signal

$SIVE Case (at recommendation time):

Market Cap: $150M
Addressable Market: CPO source demand (Data center annual demand $100B+)
Mismatch Ratio: 100+ times

This kind of mismatch almost doesn't exist in mature markets. Once the market realizes the importance of this node, capital will vote with its feet.

Step 4: Find the "Catalyst" and Time Window

Serenity doesn't fight battles unprepared. He looks for specific triggering events:

Several Catalysts for $SIVE:

Ayar's Optical Switch Mass Production → CPO demand shifts from PoC to actual deployment
Wiwynn's Cloud Customer Disclosure → Confirmation of Meta/Amazon/Microsoft's TPU purchase intentions
Earnings Season Release → SIVE will disclose order growth data

Catalysts for $XFAB:

EU CHIPS Act funding disbursement → €128 million secured
Photonics included as a key focus in EU Chips 2.0
Support from US CHIPS Act manufacturing subsidies

With catalysts, you have a timeframe—when news validating your logic will arrive at the turning point.

Step 5: Use Earnings Season to "Verify" Your Reasoning

This is the most cunning step.

Serenity positions himself early while institutions are still debating. Then, in the next earnings season, the company announces:

Surge in orders (e.g., $SIVE orders up 77% YoY)
Improved gross margin (indicating increased pricing power)
New customer disclosures (confirming where demand is coming from)

The financial data becomes the "verification code" for his reasoning. In his own words:

"I don't need to be right forever. I just need to predict accurately enough before earnings season for the data to speak for me."

Part 3: Analysis of Core Holdings | Viewing the Global Supply Chain Landscape Through European Stocks

Top Holdings Ranking

Based on Serenity's latest recommendations and track record, I've ranked them by "Current Attractiveness":

🥇 First Tier: High Control + Strong Catalyst (Mid-2026)

$XFAB (X-FAB)

Current Status: Europe's largest analog semiconductor and MEMS foundry
Core Strengths:
- 🎯 The only high-volume SiC foundry in the US + the only MEMS foundry in the EU
- 💰 Has received €128 million from the EU CHIPS Act and $50 million from the US CHIPS Act
- 🔌 Photonics business is tied to next-generation CPO (via the photonixFAB project)
- 📈 AI chip power management is a future necessity
Market Cap Risk: $1.28 billion; legacy automotive business weighs on valuation, but the AI growth segment is undervalued
Timeframe: Late 2026-2027, as photonics and AI power management products ramp up

$SIVE (Sivers Semiconductor) ⭐ Already a legend

Current Status: Major supplier of laser light sources for CPO
Track Record: $4 → $71 (12x)
Latest Risk: Rumors on May 30th about an investigation by the Swedish Economic Crime Authority; needs monitoring
Core Logic Still Holds: But awaiting official clarification

🥈 Second Tier: Upstream Supply Chain Chokepoints

$AXTI (AXT Inc.)

Chokepoint Level: Global InP (Indium Phosphide) substrate, almost no alternatives
Market Cap Mismatch: $700M market cap vs. a $50B+ InP/GaAs market
Bottleneck: Capacity expansion speed < NVIDIA's InP demand growth rate
Catalyst: NVIDIA explicitly releases a timeline for InP capacity requirements

$SOI (involving silicon photonics substrates)

Characteristics: Monopoly in silicon photonics substrates
Track Record: $44 → $181 (311%)
Future: CPO may divert some demand, but silicon photonics still has essential needs in 5G/data centers

🥉 Third Tier: Confirmed Direction but Intensifying Competition

$AAOI (Applied Optoelectronics)

Strength: Major optical module manufacturer, covering the entire optical communication chain
Weakness: Market cap already at $12B, mismatch degree decreasing, numerous competitors
Opportunity: Rising ASP for data center laser transceiver modules

$IQE

Strength: Compound semiconductor epitaxial wafers (basis for GaAs/InP)
Track Record: $12 → $47 (291%)
Risk: Midstream in the supply chain, mismatch degree not as high as upstream raw materials

Upstream of the Upstream: The Ultimate Node of Information Asymmetry

Serenity once said:

"Find the node in the industrial chain with the strongest information asymmetry; that's usually where the greatest returns are."

He named one:

NCI (Nippon Chemical Industrial, 4092.T)

Identity: Upstream of AXT, supplier of high-purity red phosphorus
Characteristics: Little Japanese public information, almost no English reports
Information Gap: Only gained attention after XFAB recently built a position
Catalyst: EU Chips Act 2.0 includes photonics as a key direction

The level of information asymmetry for this company might be the highest in the entire supply chain.

⚠️ Investment Risk Warning

$SIVE Risk: Rumors at the end of May involve investigation by the Swedish Economic Crime Authority and financial turmoil; caution needed before official clarification
Small-Cap Risk: Poor liquidity, extreme volatility, high policy/currency risk
Technology Substitution Risk: Competitors (Intel/TSMC) may catch up quickly, and alternative technologies are also under development
Time Window Risk: Once a major influencer speaks, the window begins to close—Serenity himself has said this

Conclusion: This is not an investment for "stable returns" but a "high-risk, high-reward" supply chain arbitrage. The amount invested must be within your risk tolerance.

Part 4: Why Does the Chinese Community Particularly Embrace This Framework?

Serenity himself observed an interesting phenomenon:

"It's really heartwarming to see so much support from the Chinese community on X! This reflects a very interesting cultural difference: people try to understand my thought process and stock-picking logic to improve their own investment systems."

This reflects a fundamental difference:

Western investors might jump in and follow the trend to buy
The Chinese investment community tends to replicate the logic, not just the results

The result is that Serenity's biggest "spreaders" are not himself, but those Chinese investors who use his framework to conduct their own research. His follower count grew from a few thousand to 500,000, with discussions in the Chinese community being a key driver.

What does this show? The replicability of a methodology is more attractive than simply "how much money I made."

Part 5: The Replicability of the Methodology | You Can Also Learn This Framework

Key Question Checklist

First Tier: Infrastructure Level

❓ In the next 3 years, which tech giant will explicitly state that "a certain technology path is definitive"?
❓ How long is the industrial chain for this technology path?
❓ Which link will become the bottleneck first?

Second Tier: Supply Chain Breakdown

❓ What is the current capacity of this link?
❓ What is the expected demand growth over the next 3 years?
❓ How many companies can do it? What are their respective market shares?
❓ How long does capacity expansion take?

Third Tier: Market Cap Mismatch Identification

❓ What is the company's market cap?
❓ What is the total market size it serves?
❓ Is the mismatch degree over 100x? (ideal scenario)
❓ Has the market not priced in this chokepoint yet?

Fourth Tier: Catalyst Search

❓ What news in the next 6-12 months will validate this logic?
❓ When will earnings seasons disclose growth data?
❓ Are there any government subsidies/order announcements that will accelerate this process?

Practical Case: Analyzing a Stock Using Serenity's Framework

Assume you are an investor analyzing a new small-cap chip company. How do you do it using his framework?

Step 1: Listen to what the CEO says

What have they said in recent public appearances?
In which application segment of NVIDIA or other major customers is their product used?

Step 2: Reverse-engineer the supply chain

Which products require the components/services this company provides?
How large is the market for that product?
How many competitors can provide the same thing?

Step 3: Calculate the mismatch degree

Company market cap ÷ Addressable market size = Mismatch degree
The larger the mismatch, the stronger the signal

Step 4: Confirm the catalyst

Will upcoming earnings seasons in the next 6-12 months validate demand growth?
Are there any new customer order announcements?
Are there any government subsidies/support policies?

Step 5: Assess risks

How fast are competitors catching up?
How likely is technology substitution?
What is the company's financial health?

Part 6: Operational Framework | What to Do If You Decide to Use This Method

If You Want to Follow Serenity's Trades

1. Risk Awareness (Must Read)

These are all small-cap stocks with extreme volatility
May face liquidity issues
Policy/technology changes could break the assumptions
Invest only an amount you can afford to lose

2. Information Gathering

Follow his Twitter (@aleabitoreddit)
Subscribe to his newsletter
Participate in Chinese community discussions (Reddit/Zhihu, etc.)
Never just look at his conclusions; look at his reasoning process

3. Independent Verification

Read earnings call transcripts yourself
Break down the industrial chain yourself
Re-evaluate these companies using his framework
Draw your own conclusions, don't blindly follow

4. Risk Management

Build positions in batches, don't go all-in at once
Set stop-losses (even though he says he never does, you can)
Monitor the catalyst time window
Pay close attention around earnings seasons

If You Want to Learn His Method Without Following His Trades

This is the path to the highest returns.

Deeply read his analyses
—— Not to see what he recommends, but to understand why he recommends it
Find "the next opportunity Serenity hasn't discovered yet" yourself
—— He said: "The real opportunity is before I talk about it" —— Use his framework to find chokepoints he hasn't discovered yet
Build your own industrial chain knowledge base
—— His requirement: "If you can't recite the entire optical communication industrial chain from upstream InP substrates all the way down to optical modules... then you haven't read enough of my stuff" —— Apply this standard to other industrial chains (e.g., AI chip cooling, power management, advanced packaging)
Participate in Chinese community discussions, contribute your own research
—— What makes Serenity happiest is seeing Chinese community investors "use his framework to find opportunities themselves"

Conclusion: The Real Path to Financial Freedom

Serenity said in a recent tweet:

"I'm not trying to be smarter than the institutions, just faster."

The subtext of this statement is: Anyone, with enough time spent understanding the industrial chain, can potentially spot bottlenecks faster than institutions.

After reading this article, you have three choices:

❌ Option 1: Buy assets like $SIVE, $AXTI, hoping to strike it rich
→ Highest risk, fastest returns (if successful)

🟡 Option 2: Follow Serenity's recommendations and copy trades after he verifies them
→ Moderate risk, moderate returns

✅ Option 3: Learn his mental framework and use the same method to find the next opportunity
→ Controllable risk, most stable long-term returns

Serenity himself most wants to see the third option.

Because replicating results is easy (buy the same stocks), but replicating the thought process is hard (requiring genuine research and thinking). This difficulty is the true source of alpha.

References

Serenity's X account (@aleabitoreddit) — The original author of this post's methodology, focusing on AI/semiconductor supply chain research. Follow for his latest reasoning process.
Sivers Semiconductors Official Website — The company website for the "legendary pick" $SIVE mentioned in the article. Its Photonics division provides DFB laser arrays for AI datacenter CPO.