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Sergey Tereshkin's Blog
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In recent weeks, cryptocurrencies and traditional financial instruments (TradFi) have gained momentum amid growing investor interest. The combination of strong corporate earnings from semiconductor leaders and rapid progress in artificial intelligence is fuelling demand for risk assets. In this context, shares of giants such as Micron Technology and AMD have risen, while cryptocurrency markets led by Bitcoin and Ether have shown positive dynamics. New investment opportunities are attracting both large institutional funds and retail investors in the CIS, shaping new portfolio strategies. In this article, we examine in detail how this synergy of technology and finance is impacting the market.
Media
The State Duma of the Russian Federation has approved new amendments aimed at stimulating the development of the fuel market in Russia. These measures are designed to support domestic producers, reduce prices, and ensure supply stability. More details on the key changes can be found in our article.
News and publications
On 3rd July 2026, the cryptocurrency market is displaying significant volatility. Bitcoin is at a critical level of $60,000, raising concerns among investors. Despite positive forecasts for cryptocurrencies and support from major players, outflows from ETFs continue to pressure the market, creating uncertainty among traders. In this context, stablecoins such as USDT and USDC are garnering increasing attention as a potentially safe haven. Investors are actively discussing the possibility of shifting to stablecoins as a primary risk reduction strategy. There is also considerable focus on new projects in the digital asset space, such as Open USD, which could change market dynamics. In the near future, we can expect news on cryptocurrency sector regulations, which may significantly impact investments in cryptocurrencies and perceptions of stablecoins.
Media
News and publications
Video
In this issue, Sergey Tereshkin and investor Andrey Rezinkin explore AI startups: how to choose promising projects and profit from investments in AI. They discuss real-world examples such as OpenAI, ChatGPT, voice recognition, and DepTech, as well as trends like AGI and lifestyle AI applications.