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Science and new technologies
15:00, 18 August 2025
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Crypto Mentor in Your Phone: NSTU Brings Market Analytics to Telegram

At Novosibirsk State Technical University (NSTU), researchers have developed an innovative Telegram bot — a crypto-assistant capable of tracking cryptocurrency prices, assessing risks, forecasting market dynamics, and processing data through semantic AI.

Pilot Project Underway

The bot has already entered beta testing and is being actively trialed by users. Its official launch is scheduled for the first quarter of 2026, when it will evolve into a full-fledged mini-application within Telegram.

This is not just a technical experiment. It represents one of the first large-scale Russian products in the crypto-analytics sector, developed within a university lab. With most analytic tools on the market originating abroad, the arrival of a homegrown solution could become a critical driver for Russia’s digital economy.

Accessibility, Usability, Security

The crypto-assistant’s main advantage lies in its accessibility. Users no longer need to monitor dozens of exchanges and news platforms: all essential analytics, alerts on price swings, and market ratings arrive directly in Telegram. This is especially valuable for small businesses and newcomers to crypto who lack the time or expertise for deep analysis.

Instead of monitoring dozens of exchanges, websites, and apps, users will get analytics and risk metrics delivered directly in their messenger. This saves time, supports better-informed investment decisions, and helps them seize profitable trading opportunities
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Telegram itself is a natural platform for such a service: widely popular in Russia, reliable even with weak internet connections, and capable of scaling quickly. With its streamlined interface, the bot lowers the barrier to entry for crypto trading and helps users make better-informed investment decisions.

From Student Project to Market Product

Over the past five years, Russian universities and IT firms have been advancing AI assistants in education, healthcare, and industry. NSTU’s development stands out as a case where a student initiative evolved into a product with genuine commercial potential.

The system employs advanced natural language processing (NLP), machine learning for forecasting, and semantic analysis of news and social media. This allows not only tracking of prices but also evaluating the impact of external factors on the market — from regulatory announcements to public sentiment.

Looking Ahead: From Russia to the World

In the coming years, developers plan to expand functionality by adding portfolio analysis, risk modeling, integration with traditional exchanges, and multilingual support. By 2027, B2B solutions and API integration with external platforms may also be available.

If the project stays on track, it could position itself as an exporter of Russian IT solutions. Such tools are in high demand in countries with growing interest in cryptocurrencies but limited access to Western analytics services.

The NSTU crypto-assistant is more than a bot. It symbolizes the growth of Russia’s digital ecosystem, where universities act as innovation hubs and students become creators of products with both national and international potential. Following its 2026 launch, Russia could gain a new foothold in fintech and AI development.

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