New Grok 4 Trading Bot is real money printer. 0.2 $SOL→ 413 $SOL in just 4 days. No coding needed. Anyone can use it. Here’s how to run it and make $2-5k/day on autopilotđŸ§”đŸ‘‡
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The new Grok 4 Module beats other AI's and ranks #1 for analysis. I used it to build a Trading Bot that spots tokens before they pump. Here’s how you can build yours in a few steps 👇
1. First, we’ll set up the base for our trading bot. New Grok Module will generate the structure. Ask it to build a system that connects to the PumpFun API and tracks new memecoins in real time. Prompt: “Create a Python module that connects to the PumpFun API and listens for new token launches in real time. Log relevant token data such as name, address, deploy time, and deployer wallet for further analysis.”
2. Time to filter potential rugs, let Grok handle it. Ask it to connect to the @Rugcheckxyz API and check each token. Only continue if the response is ‘GOOD’. Anything else = no buy. “Integrate the Rugcheck API to evaluate tokens from PumpFun. Before taking any action, verify the risk score. If the token status is not 'GOOD', skip it. Ensure the bot logs rejected tokens with reason codes.” This prompt and API key i'll share on TG -
3. Time to plug in trading strategies. Set yours so the bot follows it strictly, for example: once a token hits 2x–3x, auto-sell a portion to lock in profits and reduce risk. Prompt: “Add trade logic that auto-sells a percentage of the token if its price reaches 2x or 3x from entry. Include config for percentage to sell at each target. Ensure it only triggers once per threshold and logs each action.”
4. Let’s connect the bot to a trading platform for live buys. Pick your platform, I use @gmgnai. Just log in with Telegram or Wallet and you're good to go. Prompt: “Connect the bot to the GMGN trading platform via Telegram or Wallet authentication. Allow it to place live buy/sell orders using the GMGN API. Include login setup and endpoint authorization.”
5. Time to add deep analysis to the bot. GMGN API gives solid token insights and scam filters. Ask Grok to fetch key metrics like liquidity, token age, and holder count — and to track real-time trends: up, down, or flat. Prompt: “Integrate GMGN’s token data API to fetch live metrics like liquidity, market cap, token age, holder count, and trend direction (up/down/flat). Use these metrics to evaluate trade quality before execution.”
6. Now add a cluster check tool to the bot. For example @bubblemaps, it detects wallet connections. If wallets are linked, the dev might control supply = rug 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.”
7. Add social analyse to bot using Moni Score. Use their API to build a module that checks the token’s presence and activity on X (Twitter). Prompt: “Integrate Moni API to fetch and score social activity for each token. Use it to analyze X (Twitter) traction, if the score is low or engagement looks fake, flag the token and log the result.”
8. Time to secure our data. Ask Grok to integrate AES encryption. It’s strong, reliable, and perfect for safely storing and managing sensitive info. Prompt: “Add AES encryption to the bot for secure data handling. Use it to encrypt and decrypt sensitive info like API keys, wallet data, and configs.”
9. The bot is ready, ask Grok to combine all scripts into one and write a clear setup guide. Prompt: “Combine all previously created modules into a single Python bot. Organize the code into logical sections. Create a README-style setup guide with step-by-step instructions for installation, configuration, and usage.” You can find full bot in my TG -
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