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

Paper: SSRN 4315362

Abstract

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

Complexity vs Empirical Score

• Math Complexity: 3.0/10
• Empirical Rigor: 2.0/10
• Quadrant: Philosophers — conceptual discussion, limited math and data

Why this score: 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.

Research Flowchart

  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"]