An automated script has been developed for parsing, flexible filtering, and analyzing the investment attractiveness of tokens.
Metrics collected and analyzed by the script:
= Trading volume over the last 24 hours (Trading Volume 24h).
= Number and types of exchanges (CEX/DEX) where the token has been listed (to assess liquidity).
= Price change dynamics and market capitalization.
Project features:
Data is automatically filtered from "junk" tokens based on specified criteria and recorded in the cloud. Integration is implemented through the Google Sheets API, allowing the client's team to work with a live and up-to-date spreadsheet without the need to run local code.
Technologies:
- Python — for collecting, filtering, and processing information
- gspread — for integration with Google Sheets API and data recording
Metrics collected and analyzed by the script:
= Trading volume over the last 24 hours (Trading Volume 24h).
= Number and types of exchanges (CEX/DEX) where the token has been listed (to assess liquidity).
= Price change dynamics and market capitalization.
Project features:
Data is automatically filtered from "junk" tokens based on specified criteria and recorded in the cloud. Integration is implemented through the Google Sheets API, allowing the client's team to work with a live and up-to-date spreadsheet without the need to run local code.
Technologies:
- Python — for collecting, filtering, and processing information
- gspread — for integration with Google Sheets API and data recording