In todayβs post:
Time To Buy China Tech Stocks? π°
America Locks Down AI β
Oil Markets Are Panicking π¨

The Year-End Moves No Oneβs Watching
Markets donβt wait β and year-end waits even less.
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TIME TO BUY CHINA TECH STOCKS? π°
China just quietly lowered its 2026 GDP growth target to 4.5%β5%.
That might not sound dramaticβ¦ until you realise thatβs the weakest official target since the early 1990s.
In other words: the worldβs second-largest economy just admitted things are slowing down.
And the stock market?
Yeah⦠it noticed.
Chinaβs Tech Stars Are Getting Crushed
Many of Chinaβs biggest internet and consumer-tech companies have been stuck in a long, painful slump.
Think of them like former rockstars now playing small venues.
Once market darlings⦠now deeply out of favour.

The evidence shows up clearly in a technical indicator traders love: Relative Strength Index (RSI).
RSI measures momentum on a 0β100 scale, tracking how aggressively a stock has been bought or sold recently.
Below 30 = oversold territory
Above 70 = overbought
Right now?
A lot of Chinaβs biggest companies are sitting deep in oversold land.
The Most Oversold Big Tech Names
Leading the βplease stop selling meβ leaderboard is Alibaba. $BABA ( βΌ 2.19% )
Its RSI is 22.
Thatβs not just oversold.
Thatβs βsomeone pulled the fire alarm and everyone ran for the exits.β
Next up:
Baidu: RSI 24
JD.com: RSI 25

All three are sitting in the zone traders typically associate with heavy selling and extreme pessimism.
But the list doesnβt stop there.
Even The Giants Arenβt Safe
Two more major players round out the top five:
Tencent: RSI 29
Tencent Music: RSI 30
Investors are still dumping shares across Chinaβs biggest digital platforms and entertainment businesses.

Itβs not isolated. Itβs systemic.
The βStill Weakβ Crowd
Further down the momentum rankings, plenty of familiar names are still struggling:
DiDi
XPeng
Xiaomi
NetEase
Bilibili
ZTO Express
All of them sit around or below an RSI of 40, which still signals weak momentum and continued selling pressure.
The βhealthiestβ name on the list?
H World Group β sitting at RSI 50.
Which basically translates to:
βCongratulations, youβre the least disliked stock in detention.β
What Oversold Actually Means
Hereβs the key thing about RSI.
Oversold doesnβt guarantee a rebound.
But it does signal extreme pessimism.

When RSI drops to 30 or lower, it often means selling has become stretched.
If sentiment improves or fundamentals stabilize, stocks can bounce quickly.
For context:
Oversold: RSI β€ 30
Overbought: RSI β₯ 70
And right now?
None of these Chinese tech giants are anywhere close to overbought.
Theyβre all stuck in the opposite problem.
Too much selling.
Too little love.
TL;DR
China lowered its 2026 GDP growth target to 4.5%β5%, the weakest since the early 1990s.
Major Chinese tech stocks are now technically oversold.
Alibaba (RSI 22), Baidu (24), and JD.com (25) top the list of the most oversold names.
Tencent (29) and Tencent Music (30) also sit near oversold levels.
Other big companies like DiDi, XPeng, Xiaomi, NetEase, Bilibili, and ZTO Express remain weak with RSIs around or below 40.
RSI β€30 often signals extreme selling that can precede rebounds if sentiment improves.
But for now, Chinaβs tech sector is still firmly in βinvestors hitting the sell buttonβ mode.

1. Accumulate Oversold China Tech
China lowering its 2026 GDP growth target to 4.5%β5% has crushed sentiment across Chinese tech. But extreme pessimism often pushes prices below intrinsic value. With Alibaba (RSI 22), Baidu (24), and JD.com (25) sitting deep in oversold territory, the selling may already be overextended. If macro fears stabilize even slightly, these stocks can rebound quickly as traders rotate back into beaten-down leaders.
π Action: Gradually accumulate large-cap Chinese tech like $BABA ( βΌ 2.19% ), $BIDU ( βΌ 0.88% ), and $JD ( β² 0.28% ) in stages during weakness rather than buying all at once. Focus on companies with strong cash flow and dominant market share.
2. Buy the Sector Instead of Picking Winners
When an entire sector is oversold, picking the exact winner becomes less important than capturing the rebound. With Tencent, XPeng, Xiaomi, NetEase, Bilibili, and others all showing weak RSI readings, the selling pressure appears broad across Chinese internet and tech platforms. Historically, broad oversold conditions often lead to sector-wide relief rallies once sentiment shifts.
π Action: Gain diversified exposure using China tech or internet ETFs like $KWEB ( βΌ 1.97% ) or broader China exposure through $MCHI ( βΌ 1.66% ). This spreads risk across multiple oversold companies instead of relying on a single turnaround.
3. Wait for Momentum Confirmation Then Add
Oversold conditions alone donβt guarantee a rebound. Sometimes stocks stay cheap for months while sentiment remains negative. A smarter approach is to watch for RSI recovering above 30β40, which often signals selling pressure is fading and buyers are returning. This reduces the risk of catching a falling knife while still capturing the early part of a recovery.
π Action: Add to positions in names like $TCEHY ( βΌ 1.57% ), $NTES ( βΌ 2.64% ), or $BILI ( βΌ 7.09% ) once momentum indicators improve and prices begin forming higher highs.

Daily Bull Run Premium+ π
Hereβs the link to todayβs Daily Bull Run Premium+ stock analysis if you havenβt seen it in your inbox already today!
Today we cover a stock that was up 22% in ONE DAY but still potentially has over 50% more gains to give!

AMERICA LOCKS DOWN AI β
Imagine if every country that wanted electricity had to ask one government for permission to buy power plants.
Thatβsβ¦ basically what might happen with AI chips.
According to a report from Bloomberg, U.S. officials have drafted regulations that would require global approval from Washington before companies can buy advanced AI accelerators β the kind made by Nvidia and AMD.
Yep.
The U.S. could become the bouncer of the global AI nightclub.
And everyone else has to wait in line.
Why These Chips Matter
AI models donβt run on vibes and inspirational quotes.
They run on massive GPU clusters β the silicon brains inside data centers powering tools like ChatGPT and Googleβs Gemini.

Companies worldwide are scrambling to get their hands on them.
Think of GPUs as the oil of the AI economy.
No chips β no AI.
Which is exactly why Washington wants control.
The Big Idea: America as AI Gatekeeper
The draft rules wouldnβt ban exports.
Instead, theyβd make the U.S. government the approval authority for most AI chip sales worldwide.
Meaning companies β and sometimes entire governments β would need permission from the U.S. Commerce Department to buy them.
In other words: If you want the future of computing⦠you might need to ask America first.

And the stakes are huge.
Access to AI infrastructure is increasingly seen as critical for:
Economic growth
Corporate competitiveness
Military capability
National technological sovereignty
Translation: whoever controls AI compute controls a lot of the future.
Not All AI Purchases Are Equal
The proposed framework sets different approval levels depending on how many chips you want.
Small Deployments
Buying up to 1,000 Nvidia GB300 GPUs?
That would likely go through a relatively simple review process, possibly with exemptions.
Think: βSure, build your AI startup.β
Medium-Sized AI Clusters
Building something bigger?
Then companies would need preclearance before applying for export licenses.
And Washington might ask some awkward questions:
Whatβs your business model?
What are you training?
Can U.S. officials visit your data centers?
Basically: βShow us what youβre building with our chips.β

Mega AI Infrastructure
Now things get serious.
If a company wants over 200,000 Nvidia GB300 chips in one country, the host government would need to step in.
And approval would likely only go to U.S. allies that make:
Strict security commitments
Investments into the U.S. AI ecosystem
How big those investments must be?
Still unclear.
But the message is obvious:
Access to AI compute may come with geopolitical strings attached.
China Is the Elephant in the Server Room
A major driver behind these policies is Chinaβs race to dominate AI.
Washington has already tried to slow Chinaβs progress by:
Restricting exports of chipmaking equipment
Limiting access to high-end GPUs
But things have gotten complicated.
Under Trump, Nvidia was allowed to resume selling certain chips into China to compete with domestic giant Huawei.
Because if Nvidia leaves entirelyβ¦
Huawei gets a monopoly.
And thatβs not great for U.S. leverage.
The Delicate Balancing Act
The White House is currently trying to answer a tricky question:
How many Nvidia chips should China get?
Too few β Huawei wins.
Too many β China accelerates its AI capabilities.

Some proposals floating around include:
Caps of ~75,000 Nvidia H200 chips per Chinese company
Conditions preventing Chinese firms from accessing compute abroad
In fact, the U.S. already imposed restrictions on some shipments to the UAE, requiring companies not to provide computing services to Chinese AI firms.
Thereβs Also a 25% AI Chip Fee
Late last year, another twist arrived.
In December 2025, Trump approved some AI chip sales to China β but with a 25% fee attached.
Then in January:
A proclamation imposed a 25% tariff on high-end AI chips, including:
Nvidia H200
AMD MI325X

For context:
The H200 is the predecessor to Nvidiaβs newest Blackwell chips, with the Vera Rubin architecture expected next.
So even when exports happenβ¦
Washington is taxing the compute arms race.
Nothing Is Final Yet
Important caveat:
These rules are still draft proposals.
Officials across federal agencies are reviewing them, and the framework could:
Change significantly
Be delayed
Be scrapped entirely
But the direction is clear.
The U.S. wants to make sure that AI dominance doesnβt slip away through the supply chain.
Why Investors Should Care
This isnβt just policy noise.
Itβs about who controls the most valuable commodity in the AI era: compute.
If the U.S. becomes the gatekeeper:
Nvidiaβs geopolitical importance skyrockets
AI infrastructure becomes a strategic asset
Countries may start stockpiling chips like oil reserves
Weβre watching the early stages of a global compute arms race.
And the supply chain is becoming a battlefield.
TL;DR
The U.S. is drafting rules that could require government approval for most global AI chip exports.
Companies wanting Nvidia or AMD AI accelerators may need permission from Washington.
Small deployments (<1,000 GB300 GPUs) would face simple reviews.
Massive clusters (>200,000 chips) could require government-level approval and security commitments.
The policy is heavily influenced by Chinaβs AI ambitions and Huaweiβs rise.
Some proposals include caps of ~75,000 Nvidia H200 chips per Chinese company.
The U.S. has also imposed a 25% tariff on high-end AI chips like Nvidiaβs H200 and AMDβs MI325X.
Nothing is finalized yet β but it signals a future where AI compute becomes geopolitical leverage.

OIL MARKETS ARE PANICKING π¨
Crude oil decided to wake up and choose violence on Thursday.
Prices rocketed more than 9%, blasting past $80 per barrel and briefly tagging an intraday high of $81.64 before settling around $81.
That move pushed oil to its highest level in more than 19 months β territory we havenβt seen since July 18, 2024.
And noβ¦ this wasnβt some sleepy commodity drift.
This was a full-blown geopolitical panic bid.

What lit the fuse?
Tensions between the United States and Iran are heating up.
When that happens, energy traders donβt wait around for confirmation.
They price in chaos immediately.
Why?
Because oil supply is one of the most geopolitically fragile systems on Earth.
And right now, traders are staring at one place in particularβ¦
The worldβs most important bottleneck
Enter the Strait of Hormuz.
Think of it like the worldβs oil highway on-ramp β except the ramp is tiny and the stakes are massive.
A huge portion of globally traded crude oil moves through this narrow shipping corridor.

So when tensions flare in the region, markets start asking one very uncomfortable question:
βWhat happens if those tankers canβt get through?β
Even the possibility of disruption can send traders scrambling.
Oil traders are pricing in risk β fast
Thatβs exactly what weβre seeing now.
With uncertainty rising around shipping safety and potential supply interruptions, investors are bidding up crude prices aggressively.
The result:
β’ Oil surging 9% in a single session
β’ Prices breaking above $80
β’ The highest level in over 19 months
And when crude moves this violently, it doesnβt stay contained.
The ripple effects hit energy stocks, inflation expectations, shipping markets, and global risk sentiment.
In other wordsβ¦
When oil sneezes, the global economy catches a cold.
Why investors are paying attention
Oil isnβt just another commodity.
Itβs the bloodstream of the global economy.

Higher crude prices can:
β’ Push inflation expectations higher
β’ Pressure central bank policy
β’ Boost energy sector profits
β’ Increase market volatility
So when oil suddenly rips 9% in a day, investors everywhere start leaning forward in their chairs.
Because geopolitical oil rallies tend to have second and third-order effects across the entire market.
TL;DR
β’ Crude oil surged more than 9%, briefly hitting $81.64 per barrel
β’ Prices are now hovering around $81, the highest level since July 18, 2024
β’ The rally is being driven by escalating tensions between the United States and Iran
β’ Traders are focused on risks around the Strait of Hormuz, one of the worldβs most critical oil shipping routes
β’ Concerns about potential supply disruptions are pushing investors to price in geopolitical risk across energy markets

1. Ride the Energy Momentum
Oil blasting above $80 and hitting a 19-month high signals strong momentum returning to the energy sector. When crude moves this fast, energy stocks and ETFs often lag slightly before catching up as investors rotate into the sector.
π Action: Accumulate energy ETFs like $XLE ( β² 0.52% ) or oil producers such as $XOM ( β² 0.63% ) and $CVX ( β² 2.08% ) on small pullbacks. Hold while oil remains above $80 and geopolitical tensions stay elevated.
2. Follow the Supply Shock Trade
The entire move is being driven by risk around the Strait of Hormuz, one of the most important oil shipping routes in the world. If traders continue pricing in supply disruption risk, companies directly tied to oil production and transport tend to benefit the most.
π Action: Add exposure to upstream producers and transport plays like $OXY ( βΌ 0.69% ), $COP ( β² 1.01% ), or tanker companies such as $FRO ( βΌ 3.75% ). These names typically outperform when crude rallies on geopolitical risk.
3. Use Pullbacks to Build an Energy Position
Geopolitical oil spikes rarely move in a straight line. Markets often surge on headlines, then cool off before the next escalation. Long-term investors can use that volatility to build positions in the sector while oil remains structurally tight.
π Action: Start a staged position in diversified energy exposure like $VDE ( β² 0.45% ) or $XOP ( β² 1.9% ). Buy in 2β3 tranches during dips rather than chasing spikes, letting the geopolitical risk premium work in your favor.




