AI agents for crypto trading will be the main topic of an offline workshop to be held in Moscow on Saturday, September 12. Participants will be shown how to use artificial intelligence in cryptocurrency trading, market analysis, and automating routine tasks. The event is organized with the support of BingX and NEAR Legion.
What Participants Will Learn at the Workshop
AI agents are already used in the crypto industry not only for trading, but also for tasks that used to take hours of manual work:
- Market data analysis
- Working with APIs
- Token tracking
- Monitoring market signals and notifications
- Assistance with risk management
- Performing routine operations
You can use AI for cryptocurrency trading: such tools help process data faster, connect to APIs, track tokens, and find signals in a volatile market. At the same time, an AI agent differs from a regular trading bot in that it does not just follow pre-set rules, but can work with different data sources, take context into account, and help make decisions in more flexible scenarios.
Automating crypto trading using neural networks and AI agents is also possible. In practical tasks, they can collect market data, track changes in tokens, prepare signals, perform repetitive actions via API, and help respond more quickly to price movements.
The best AI solution for analyzing and trading cryptocurrencies depends on the task. For some scenarios, API connectivity and stable data handling are important; for others, security, signal quality, ease of setup, and Web3 environment support are key. As examples of such intelligent tools, participants will be able to discuss solutions like Grok and other AI services.
The advantages of AI agents in crypto trading are speed of analysis, automation of routine, handling large amounts of data, and faster market reaction. Among the risks are false signals, dependence on data quality, API failures, security issues, and the possibility of unwanted actions with weak configuration.
Beginners choosing an AI agent should look for a clear interface, transparent settings, control over actions, secure account access, and the ability to test scenarios without unnecessary risk. The cost of such solutions usually depends on the access model: subscription, API usage fees, data volume, feature set, and level of automation.
In the future, AI agents may become a significant part of financial markets and crypto trading: traders increasingly need tools that quickly process data, help track events, and turn complex information flows into understandable actions.
In the first part of the meeting, participants will analyze practical scenarios for using AI agents. The discussion will cover API connectivity, security of AI solutions, data handling, and tasks where neural networks help find useful signals faster. Special attention will be given to how such tools can be used in the Web3 environment, where token data, market dynamics, and digital transactions are important.
The organizers will also touch on the context in which modern crypto trading operates: macroeconomics, market news, and participant behavior can influence trading decisions as much as technical indicators. Therefore, an AI agent should not just collect data, but help quickly turn it into actionable steps.
Practical Part: Creating Your Own AI Agent
After the theory, team work will begin. Participants will be divided into groups of three or four people, and each team will try to build their own working AI agent. Its task is to help in applied scenarios related to trading and analyzing the cryptocurrency market.
The best teams will receive prizes. Additional awards are provided for strong technical solutions and interesting questions that help deepen the topic of AI agents in crypto trading.
Format and Registration
The workshop is designed for two hours and will be held from 5:00 p.m. to 7:00 p.m. Registration for the event is required to participate.
Participants are advised to bring laptops. If individual teams do not have enough devices, the organizers will provide additional computers.
