project details

This project showcases the seamless integration of AI, automation, and database management to streamline trade notifications and deliver actionable insights in real time. At its core, a custom-hosted Telegram userbot monitors multiple Telegram channels for trade notifications. The userbot captures and relays these notifications to a Make.com webhook, enabling the system to process messages from diverse sources regardless of their structure.

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The notifications are processed using a custom OpenAI prompt, which dynamically interprets and unpacks the message content. This approach ensures flexibility in handling unstructured data while extracting key trade details. The OpenAI response is formatted as a JSON package, which is then pushed into Airtable. Acting as the central database, Airtable not only stores this information but is also configured with advanced reporting metrics that automatically calculate insights whenever a new trade is logged.

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If a trade is identified as "high value," an automation triggers a second Make.com webhook. This webhook collects additional data on the associated token and wallet by leveraging several APIs. The enriched information includes token statistics such as performance trends and price history, as well as wallet details like transaction patterns and activity metrics. The enriched data is then compiled into a detailed Telegram message, complete with key statistics and useful hyperlinks for further analysis. This message is instantly shared with a designated Telegram group chat, providing the team with real-time updates and insights.

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This solution not only automates the collection, processing, and reporting of trade data but also enhances decision-making by delivering enriched and actionable insights. By integrating tools like Telegram, Make.com, OpenAI, and Airtable, the project achieves a high level of efficiency, scalability, and flexibility, making it an invaluable asset for managing trade information dynamically and effectively.