Breaking key resistance — could $BGM repeat $RGC’s 100x rally?Let me introduce a stock that has already generated a profit of nearly 40% and I have no intention of selling it yet. Because both the chart and fundamentals suggest the stock seems to be approaching the point of potential explosion, and it is even possible to increase several times.
This stock is NASDAQ:BGM , a traditional Chinese pharmaceutical chemical company but now it has transformed into an AI productivty platform. More on that later—let’s first take a look at the technicals, which I always pay close attention to.
Firstly,the uptrend remains intact.
Since last year’s stock split, the price has been climbing steadily within a clear uptrend. After breaking above $8.50, it has consistently held above that level for months, showing strong momentum. (I bought in when it dipped back to $8.50 earlier this year and have held since.)
In the recent days, the stock price has successfully broken through the upper limit of the consolidation range that has persisted for nearly 3 months, and has stabilized above $12.
This is a significant breakthrough, and it may indicate that the stock price could potentially start a significant upward rally at any time.
Secondly,the stock is almost fully controlled by the market maker.
There’s a saying in trading: “Volume precedes price.” Since December 2024, BGM’s trading volume has clearly increased, with each spike in volume followed by a small price uptick—money was buying.
Interestingly, each rise is followed by a pullback, but on much lower volume. This volume pattern—rising on gains and shrinking on pullbacks—suggests that the maket maker have accumulated most of the shares and now have strong control. The dips are likely just shakeouts to flush weak hands before a bigger breakout.
Thirdly, low short interest means minimal resistance to a price surge.
According to Nasdaq's data, BGM’s short position was 34,466 shares by 31th March, but dropping to 18,889 shares by April 30,the number of short positions has significantly decreased.
This was showing that as the stock price rose, short sellers mostly exited or turned bullish—clearing major obstacles for further gains.
Technically, everything is set—just waiting for the trigger. Pull the trigger could spark a massive rally, and that trigger may come anytime as the company nears to complete a key transformation.
Yes, the company is transforming from a traditional pharmaceutical firm into a leading AI tech ecosystem. Since last year, it has been actively acquiring companies to enter AI-driven healthcare, insurance, and wellness sectors, aiming to become an industry leader.
①In December 2024, BGM acquired RONS Tech and Xinbao Investment, integrating the AI insurance platform “Duxiaobao” (powered by Baidu’s NASDAQ:BIDU technology). Leveraging 704 million monthly active users, they aim to disrupt traditional insurance sales and drive exponential customer growth.
②In April 2025, BGM acquired YX Management to boost AI applications in insurance and transportation, accelerating the “pharma-insurance-health” ecosystem.
③In May 2025, BGM acquired HM Management and its two subsidiaries—SHUDA Technology and New Media Star—strengthening its algorithm optimization、data modeling and traffic-driven customer acquisition capabilities
After several acquisitions, the company has initially completed its transformation plan. So the "trigger" we are pursuing might emerge during the next major acquisition by the company to complete the final transformation.This is an important milestone. According to reliable sources, the company's next acquisition is likely to take place in the coming June. Let's wait and see.
Another "trigger" may be the company’s next earnings report, which will include the “Duxiaobao” AI insurance business for the first time, expected to add over $5 million in revenue, might to confirm the initial success of the company's transformation. And this is potentially spark a strong stock rally.
These two potential "triggers" are both approaching soon.
If all goes well, how far could this rally go? Let’s refer to the recent strong gains of Chinese stocks like $RGC.
Technically, RGC saw a clear volume increase and price rise around July-August 2024. Then it had a six-month shakeout with low volume pullback (similar to BGM’s current pattern). In March 2025, it launched a major rally, rising over tenfold.
In May, RGC surged again, supported by fundamental news: the company announced FDA approval for its new neurostimulation chip and a Parkinson’s study with Mayo Clinic. From the start to the peak, RGC gained over 100 times in a short period!
Looking at BGM again: after the breakout, the stock will likely first test resistance near $15, which may not be a big hurdle. The real test could be at $24—the pre-split high and the upper boundary of the current “megaphone” consolidation.
Even if the price only reaches around $24 , current investors could nearly double their money. After the company’s fundamental transformation, its revenue and profits potential could grow beyond RGC. So, how high can BGM’s stock go? Let’s wait and see.
BGM
Don't Miss the Second Wave of AI Opportunities!Are you still regretting missing out on NVIDIA's 10x growth? This time, you may not need to worry. The second wave of AI is forming, and this time, the opportunities are not limited to hardware, but are fully penetrating enterprise-level applications. For investors, this is an unparalleled new window of opportunity.
A Look into the Future: The Development Patterns of AI
Reviewing history, from the power revolution a century ago to the internet revolution in the 1990s, we see similar development patterns. Each revolutionary technology wave will go through three key stages. Let's take the internet revolution as an example:
Infrastructure Construction Stage
In the late 1980s and early 1990s, the internet was just emerging, and its applications were still very limited. The companies that benefited most were those in the foundation layer, such as Cisco and Intel.
The first stage of AI development was similar, with chip giants like NVIDIA driving the construction of AI infrastructure.
2. B2B Application Rise Stage
In the mid-1990s, the internet gradually entered the enterprise-level application field, with CRM and supply chain management software emerging, improving corporate production efficiency.
AI is currently entering this stage, with companies optimizing operational processes using AI technology to achieve cost reduction and efficiency improvement.
3. C2C Consumer-Level Application Popularization Stage
In the late 1990s, various C2C killer applications began to emerge, such as Amazon, PayPal, and Yahoo!, which became familiar companies.
Now that the first wave has stabilized, the question is: when will the second wave arrive in B2B applications?
Many ordinary people have a feeling that AI applications are limited to chatbots like ChatGPT, and that true killer applications have not yet arrived or will take a long time to develop.
As a result, some people believe that AI investment is still too early, and that what's being blown up now is just a bubble.
Indeed, we can see that C2C applications are still in development and will take a long time to mature. However, in B2B applications, AI has already been widely deployed and has shown significant effects in certain specific fields. It's just that ordinary people haven't yet felt it.
As investors, we must be more sensitive than ordinary people because corporate changes will be critical to the second wave of AI.
The Second Wave of AI: The Golden Era of Enterprise-Level Applications
The following graph is a summary of the top-ranked industries in which AI-driven companies are most likely to benefit.
As for software companies like ETFIGV, we can see from their financial reports that AI is driving significant improvements in corporate operating efficiency.
The following graphs show the gross margin and EBITDA margin of three typical software companies: Shopify, Salesforce, and ServiceNow.
Explaination:
Gross margin reflects the main product profit of software companies, while EBITDA margin reflects the company's operating profit after deducting depreciation and interest.
In other words, it represents a company's ability to generate profits from limited resources.
We can see that these three companies have seen significant improvements in their EBITDA margins over the past two quarters while maintaining stable gross margins.
Data does not lie; this may indicate that AI is already seeing effects in enterprise-level applications.
• Shopify: By optimizing internal processes using AI, it maintained stable gross margins while improving EBITDA margins and directly driving stock price growth by 30% after reporting earnings.
• Salesforce: It launched its "INS Instant" AI tool to automate 370,000 tasks, saving 50,000 hours of labor time and significantly improving employee efficiency.
• ServiceNow: Its AI accelerated data extraction speed by 53%, work flow efficiency by 27 times, and RPO growth by 26%, providing more powerful workflow optimization services for enterprises.
These data clearly show that AI is not just a buzzword but brings actual efficiency and profitability improvements to enterprises.
Snowflake: A Breakthrough in Enterprise Data Analysis
Snowflake's case is more representative. This data analysis platform focuses on providing intelligent operational support to enterprises using AI technology.
This quarter's RPO increased from $52 billion to $57 billion, reflecting enterprise trust in its AI capabilities. CEO's "All-in-AI" strategy not only drives data mining efficiency but also drove its stock price up by 30% after reporting earnings.
Insurance Industry Digital Transformation: AIFU and BGM's Strategic Cooperation
The insurance industry is an important target area for AI transformation due to its information-intensive nature. It is at the forefront of digital transformation, especially with AI technology driving it forward.
AIFU's smart future has already achieved insurance industry transformation through its core product "Duxiao" platform.
"Duxiao" is an AI-driven insurance platform developed jointly by AIFU and Baidu. By combining big data and AI technology, it can provide personalized insurance solutions for customers.
The platform analyzes customer health insurance needs, education planning, and wealth management needs in depth and generates highly customized insurance configuration plans. This has significantly improved agent productivity and accuracy while reducing operating costs.
As of December 2023, AIFU's revenue reached $31.98 billion, with a year-on-year growth rate of 14.98%. Net profit was $2.89 billion with a year-on-year growth rate of 237.25%.
AIFU's PE ratio (TTM) is only 3.5 times. In comparison to industry giants such as Prudential (PUK) and AXA (AXAHY), which have PE ratios above 12 times or even higher than AIFU.
AIFU's strategic acquisition of two subsidiaries by BGM on Friday includes core technology assets such as "Duxiao" platform. BGM is a global pharmaceutical and chemical company that has actively promoted its AI strategy in recent years.
By integrating AI with data analysis, BGM is reshaping its business model towards a more intelligent future.
How to Seize Opportunities in the Second Wave of AI?
What kind of companies will ultimately succeed? I can share with you my thoughts on what kind of companies need to possess these characteristics:
Strong Competitive Moat: Companies that can continuously strengthen their competitive barriers through AI.
Data Monopoly Advantage: Companies that build models using high-quality private data rather than public data.
Flexible Business Model: SaaS platforms with pay-as-you-go pricing models have more scalability and profitability potential.
Strong Execution Ability: Agile and decisive management teams that can quickly deploy technology.
Conclusion:
The future belongs to those who dare to layout!