Economy. Investments. IPO
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.
From July 13 to 17, 2026, the financial world anticipates a series of key economic events that may significantly impact global markets. Among these is the US corporate earnings season, which will draw investors' attention to the results from giants like JPMorgan Chase and Goldman Sachs. Inflation data such as the CPI and PPI in the US will be closely analyzed for insights into the country's economic state. Equally important are China's GDP figures, which will provide insight into the growth rate of the world's second-largest economy. The OPEC report will shed light on future oil production steps, which could influence global energy markets. These and other events of the week are discussed in our detailed review, which will help investors and analysts make informed decisions.
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.