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Hello, I have a question I would like to consult with you about. Your program and nodes are great, and now what I need to do is improve my purchase speed. Although using logsSubscribe generates a high number of requests, its speed is much faster than blockSubscribe. However, using log subscription leads to the lack of associatedBondingCurve, but it can be generated by utilizing the captured information since it's a PDA. Does your team know which seeds and the PUMP_PROGRAM to use to generate it?
The text was updated successfully, but these errors were encountered:
hey @aszx29 your question actually got me thinking so I spent my Sunday morning figuring it out 🙂 . Check the readme file in the root directory for the description and what's used for seeds.
TLDR I have implemented this in two /learning-examples scripts:
compute_associated_bonding_curve.py — computes the associated bonding curve for a given token address
listen_new_direct_full_details.py — the same script as listen_new_direct.py that uses just logsSubscribe but now also prints the computed associatedBondngCurve address
Some time later I'll probably implement this into the main trading script, but as of now you should be fine anyway with these examples.
Hello, I have a question I would like to consult with you about. Your program and nodes are great, and now what I need to do is improve my purchase speed. Although using logsSubscribe generates a high number of requests, its speed is much faster than blockSubscribe. However, using log subscription leads to the lack of associatedBondingCurve, but it can be generated by utilizing the captured information since it's a PDA. Does your team know which seeds and the PUMP_PROGRAM to use to generate it?
The text was updated successfully, but these errors were encountered: