Request to write Python code for analyzing info from Twitter lists
This code sorts tokens by their Twitter buzz.
Here's the prompt I used:
"As a Python programmer with 5 years of experience in web development and website scraping, write code that will analyze information about popular narratives and tokens from this Twitter list: {your Twitter list link here}"
2/ Now, let's track new tokens on Pump Fun.
Ask GPT-4.0 to write Python code that pulls token data from "".
Once the code is ready, add filters to separate the gems from the junk. pump.fun/board
3/ Rate the project's Twitter:
Have GPT write code to assess the quality of the Twitter audience using "".
The code should analyze the number of influencers and degens among the followers. app.tweetscout.io
4/ Use "" to check each CA.
The contract should be marked as "Good," and top holders shouldn't control a large portion of the supply.
The basic bot setup is complete.
You can add more advanced filters at this stage, but I'll show you how to do that later.rugcheck.xyz
5/ Token buying is a key part of the code:
Have ChatGPT write Python code to quickly purchase tokens via Sniper Bot.
When the bot identifies a potential 100x play, it sends the token's CA to Sniper Bot.
For this to work smoothly, you'll need to configure bot:
6/ Sniper bot settings
You also need to find a bot through which you will trade.
I recommend using this bot:
The most important thing is to ensure it’s convenient for you to trade. t.me/toxi_solana_bo…
7/ Final step:
Ask GPT to merge all previous code samples into the final bot.
Merged code will automatically pick tokens from Pump Fun and analyze them based on Rugcheck results, Twitter score, and Twitter list.
To boost your win rate, ask GPT-4.0 to add these features:
Number of whales holding the token
Has the dev sold their tokens?
Is the Dex paid or not?
That's a wrap for now!
I’ll share even more hidden memecoin gems in my TG.
Join my telegram channel for free insider calls and exclusive alpha content⤵️ t.me/philanthrop_al…
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