Token Sniping
Last updated
Last updated
By monitoring on-chain data, AI Sniper will capture information about new deployed tokens. The newly deployed tokens will be tested and scored for security in conjunction with the previously trained AI model.
The sniping strategy evaluates new tokens based on multiple dimensions to decide whether to perform automatic sniping. These dimensions include:
Token Security: The safety of the new token, code structure, and developer situation.
Media and Community: The status of associated media and communities, including social media buzz, group sizes, and positive public opinion indicators.
Launch Situation: Whether smart wallets are buying, the number and total volume of smart wallet purchases, influencer purchases, and group activity level.
After capturing key data and information from the above dimensions, the AI model analyzes it in conjunction with current trading conditions and strategies to make a final decision on whether to proceed with sniping.
Instant Execution: Upon getting the executive signal, AI Sniper executes the buy order within milliseconds.
Post-Snipe Analysis: The platform analyzes the sniped token’s performance and adjusts strategies accordingly.