ChatGPT 4.5 Trading Bot is ... | Kabuki🔴 OKX Feed

ChatGPT 4.5 Trading Bot is literally money printer 0.2 $SOL → 215 $SOL in just 5 days. No coding needed. Anyone can use it. Here’s how (full code included)🧵👇

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While everyone else is wasting hours searching for tokens manually, I built a bot that finds them in seconds. It caught $AURA at $2M MC, $Launchcoin at $1.4M, and other early gems like $MoonPig. Here is a simple guide to build your own trading bot or use mine instead 👇

1. I built the bot using the new ChatGPT 4.5 version Just go to and log in with your email Ask it to create a structure that connects to the Dexscreener API and updates the database every 30 seconds with fresh token data Prompt: “Create a Python bot that connects to the Dexscreener API and fetches token data every 30 seconds. Store the fetched data in an SQL database, and design the script to separate config, fetcher, and database logic into clean modules.”

2. Next, add filters to narrow down the token list Stick with Dexscreener and ask it to track only tokens that meet these conditions: • under $1M in 24h trading volume • less than 5 days old • over 1,000 holders Prompt: “Extend the Dexscreener integration to only track tokens that meet the following conditions • 24h volume under $1M • Token age under 5 days • Holder count greater than 1,000. Save only those tokens that match all criteria into the database.”

3. Integrate support for PumpFun token detection Ask GPT to connect to the PumpFun API and track new token launches. Every new token should be saved into the database for later monitoring and analysis. Prompt: “Add PumpFun API integration to track every newly launched memecoin. For each token, store its metadata (name, address, timestamp) in the database for further analysis. Ensure this runs in parallel with Dexscreener fetching.”

4. Let's add a useful tools for in-depth token analysis Add support for @bubblemaps. This tool helps detect related wallets. If wallets are connected, it could mean the dev controls the supply a big rugpull risk. Prompt: “Integrate Bubblemaps API to analyze wallet clusters for each token. If wallets are linked or show centralized control patterns, flag the token as a potential rugpull and log the findings.”

5. Add contract verification via @Rugcheckxyz Use the Rugcheck API to verify token contracts. Ask GPT to check each token's CA and only approve it if the result is ‘GOOD’. Anything else should be skipped. Prompt: “Connect to RugcheckXYZ API and verify each token’s contract address. Only mark the token as valid if the audit result returns ‘GOOD’. Otherwise, exclude the token from trading consideration and log the rejection reason.”

6. Implement Moni Score for social analysis Use the Moni Score API to check the token’s X account. GPT should track follower count, real engagement, and check if known influencers are following. This prompt and full code for Trading Bot i'll share on my TG -

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