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Quantitative Finance, ML

Memecoin & Crypto Quant Analytics

ML models for crypto price forecasting, volatility modeling, and rugpull risk scoring.

Quantitative Finance, ML

Memecoin & Crypto Quant Analytics

Overview

A quantitative analytics platform combining LSTM and XGBoost models for cryptocurrency price forecasting, volatility regime modeling, and automated rugpull risk scoring for memecoin markets.

Topics

LSTMXGBoostExchange APIsSQLCryptoQuantitative Finance

Stack

  • Python
  • LSTM (TensorFlow/Keras)
  • XGBoost
  • Exchange APIs
  • SQL
  • pandas
  • NumPy

Key highlights

01

LSTM and XGBoost ensemble for crypto price forecasting

02

Volatility regime modeling across multiple timeframes

03

Automated rugpull risk scoring for memecoin evaluation

04

Real-time data ingestion from multiple exchange APIs

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