From Data to Trade: A Machine Learning Approach to Quantitative Trading

ArXiv ID: ssrn-4315362 “View on arXiv”

Authors: Unknown

Abstract

“Machine learning has revolutionized the field of quantitative trading, enabling traders to develop and implement sophisticated trading strategies that lev

Keywords: Machine Learning, Quantitative Trading, Algorithmic Trading, Time Series Forecasting, Financial Markets, Multi-Asset

Complexity vs Empirical Score

• Math Complexity: 3.0/10
• Empirical Rigor: 2.0/10
• Quadrant: Philosophers
• Why: The paper is a broad, introductory survey of ML concepts in quantitative trading with minimal advanced mathematics or original derivations, and lacks any code, backtests, or specific empirical results.

  flowchart TD
    A["Research Goal"] --> B["Data Collection"]
    A --> C["ML Model Selection"]
    B --> D["Feature Engineering"]
    C --> D
    D --> E["Model Training"]
    E --> F["Backtesting"]
    F --> G["Key Findings"]