Why DeepSeek Has Blown Up Nasdaq?By Ion Jauregui - ActivTrades Analyst
DeepSeek the privately held company owned by co-founder Liang Wenfeng's quant investment fund High-Flyer has emerged as one of the most influential companies in the field of artificial intelligence (AI), revolutionizing financial and technology markets. Today we take a look at how its innovation has impacted key sectors and the promising future it envisions.
Transforming Markets
DeepSeek has consolidated its position in the technology industry thanks to advances in natural language processing, computer vision and machine learning. These technologies have found applications in sectors such as finance, healthcare, retail and automotive. In finance, its AI tools have optimized decision making, trend prediction and risk management. Banking institutions and investment funds have managed to reduce costs and improve their operational efficiency, which has strengthened investor confidence.
It is interesting to see how a project in which only $10 million has been invested has surpassed projects such as OpenAI (ChatGPT) in which large companies such as Microsoft are involved and have invested more than $10 billion in them, not to mention large market makers such as NVIDIA that dedicate a lot of resources to this purpose. This may be highlighting a potential financial speculation bubble brewing among the Magnificent 7. According to my DeepSeek estimates it could be valued as high as $345 per share, a higher price than OpenAI, currently mostly sponsored by Microsoft, and one of the companies most affected by yesterday's drop, could be worth in the market. The Magnificent 7 fell sharply. NVIDIA down -16%, Microsoft , Alphaben and Tesla down -2% respectively,and Broadcom down -17%. During yesterday's session, DeepSeek shares drove a drop in Nasdaq and S&P500 that only seems to reflect that the only reasons the market seems to be bullish on the AI bubble. The market closed with corrections of -612.47 points for the former and -88.96 points for the latter. 2 Billion dollars have been lost in a single day in the market, the largest loss of market capitalization in the history of the stock market led by NVDIA in absolute terms. All this has generated that hackers have tried to burst the DeepSeek service and for hours the registration of thousands of accounts that requested to have an account through Googleplay has been blocked. This impact has caused the index to partially recover its price.
What does it have to do with the fact that a small company has affected all the suppliers of all these outputs, even affecting companies from different sectors? Well, a company that has cost less to generate the same outputs with fewer inputs, i.e., with fewer hens, has obtained more eggs. Therefore, this has backfired on the U.S. government with the sanctions. If DeepSeek has just demonstrated that it is possible to reach the same result, consuming less capital, then the suppliers of these services will see their future sales negatively impacted (see GPU suppliers, energy, etc.), in order to continue developing and operating AI. This is a sledgehammer for very inefficient US AI companies, which can be replicated at fraction of the cost of what was currently considered.
Impact on Technology Companies
DeepSeek has redefined the dynamics in the technology sector by collaborating with giants such as software developers and hardware manufacturers. These partnerships have driven the integration of AI into products and services, from algorithmic trading platforms to smart devices.
For example, big data and cybersecurity companies have adopted its advanced algorithms to improve data protection and optimize resource management. This has generated a domino effect, where smaller technology firms have also leveraged DeepSeek's innovation to develop customized solutions.
The semiconductor sector has been another beneficiary, with increased demand for advanced chips designed to support DeepSeek's deep learning capabilities. This has increased sales and technology development in this segment.
Futuristic Advances
DeepSeek's future is promising. The company is focused on:
1. general AI development (AGI): they seek to create systems capable of performing human intellectual tasks, with potential impact in education, medicine and more.
2. Sustainability: Their algorithms help optimize energy use in smart cities and predict weather patterns.
3. Ethics and Transparency: Promote the responsible use of AI, gaining trust among regulators and consumers.
NASDAQ Technical Analysis (Ticker AT: USATEC)
Looking at the WACD in its three forms, on the overbought signal on the 24th and 27th there were already SELL signals indicating that the market was overbought. This was confirmed by the subsequent volume deltas shown in red candles and high trading volume in that direction. Later in the day yesterday, there were some glimpses of recovery and BUY signals were given again and the price partially recovered the decline to around 21,235 points. If we look at the 3 smoothed averages of the WACD we see that there has been a bearish confirmation and the direction has evolved strongly downwards and the direction seems to be softening slightly upwards. If conditions are right it could be that the Checkpoint (POC) at 21850 could be regained if the market decides that Deepseek is not as dangerous to its NASDAQ rivals. Technical indicators, yesterday put the RSI at 7% oversold, on the index, which has supported the index's recovery.
Conclusion
Three clarifications are in order, although we have been told that DeepSeek has received only 6 to 10 million, it is very likely that the Chinese state has funded the previous research cost, and this is not being imputed to the value of DeepSeek's R1, we also do not know if China has managed to circumvent the US chip and semiconductor sanctions, and they have underestimated the value on purpose, unofficially it could have employed more semiconductors than it has declared to avoid problems with the US government, and thus falsely demonstrate that the model in its training has employed less resources than they actually did. One can also take note that R1 has employed the chatgpt model O1, with shortcuts in its reasoning structure. If this were true, DeepSeek's R1 model has been developed thanks to ChatGPT and this could have been given thanks to OpenAI and would reduce the value of obtaining such success. The cost of using AI is one of the main arguments as to whether the demand for power and data targets is what will really determine the value of these companies. This has to be taken into account because if AI becomes a low-consumption standard, we will have AI in our soup and the aggregate demand for these elements will expand, and since we will be using it continuously, the high consumption of AI will increase.
This is what is known as the Jevons Paradox (the Jevons paradox implies that the introduction of more energy efficient technologies may ultimately increase total energy consumption and simultaneously lead to an increase in emissions) . Also to be taken into account is the AI recursive improvement paradox, of improving the mechanism of the AI reasoning process and efficiency. The positive implication is that small models would be able to distill the large AI models even if their model was closed and opaque, and this tool would not be monopolized by large companies but from the hand on a cell phone could apply improvements in these small models. The downside would be the opportunities and risks of AI, this recursive self-improvement brings us steps closer to artificial superintelligence, this has its risks.
The wisdom of Warren Buffet, often warns that no matter how clear we are that a certain industry is the future, it is very complicated to determine which will be the winning horses in that sector. A week ago NVIDIA AND CHATGPT were going to eat the world and overnight DeepSeek could end up sweeping the world in that specific sector. And any other startup could replace all of them. This already happened back in the day in the internet browsers era making what is Google Chrome today the main player or safari, when in other times there were other browsers like internet explorer, etc.
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