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Sergey Tereshkin's Blog
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In recent weeks, cryptocurrencies and traditional financial instruments (TradFi) have strengthened their momentum amid growing investor interest. A combination of strong corporate earnings from leaders in the semiconductor sector and rapid progress in artificial intelligence are fuelling interest in risk assets. In this context, there is notable growth in the shares of giants such as Micron Technology and AMD, as well as a positive trend in cryptocurrency markets, led by Bitcoin and Ether. New investment opportunities are attracting both large institutional funds and retail investors in the CIS, shaping new portfolio strategies. In this article, we will examine in detail how this synergy of technology and finance is affecting the market.
Market Intelligence
July 7, 2026, is poised to be a significant date on the economic calendar. On this day, key economic events will unfold in Germany, the United States, and the United Kingdom. Investors and analysts are eagerly anticipating corporate reports from leading companies, along with economic indexes and data that could substantially influence stock markets and the global economy. Special attention will be directed towards industrial production in Germany, a meeting of the Bank of England with Andrew Bailey, and employment figures from ADP in the U.S. The U.S. trade balance and oil data from EIA and API will also attract interest. All these elements create an intriguing landscape on the global investment horizon. This presents a great opportunity for analyzing strategies and investor expectations.
Media
Market Intelligence
Video
In this episode, Sergey Tereshkin and investor Mikhail Dubnov, partner at Brio Capital Fund, break down what really happens to a company when large sums of money come in. We discuss why the scaling stage is an entirely different game from starting from scratch, and how the founder's life, management, analytics, and team change after the deal.
In this issue, Sergey Tereshkin and investor Andrey Rezinkin explore AI startups: how to select promising projects and profit from investments in AI. They discuss real-life examples such as OpenAI, ChatGPT, voice recognition, and DepTech, as well as trends like AGI and lifestyle AI applications.