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MemeTrans

This repository contains the dataset and code for the paper: "MemeTrans: A Dataset for Detecting High-Risk Memecoin Launches on Solana"

Environment

  • Python 3.9
  • Conda recommended
  • Install packages using:
pip install -r requirements.txt

Part 1: High-risk Memecoin Prediction

Step 1: Train ML Models on the Generated Features & Labels

cd MemeTrans/risk_prediction 
python ml_model_train.py --model rf

Step 2: Evaluate Results in the Memecoin Selection Application

python memecoin_selection.py

Part 2: Generating the Dataset from Raw Data

Due to the large volume of the dataset (>100GB), we are currently preparing the raw data and will release it soon via an external link.

Q&A

If you have any questions, please open an issue or contact the corresponding author at: husihao26@gmail.com

We will respond as soon as possible.