Quantitative Research

QuantED Online Course

10 MODULES · SELF-PACED · FREE

What You'll Produce

Every research track builds toward the same structure: a complete research write-up that documents hypothesis, data, methodology, and backtest results.

Step 1

Hypothesis

Economic mechanism. Why does this inefficiency exist? What will the signal predict?

Step 2

Data

Data sourcing and cleaning, documented precisely. Data must exist before you backtest.

Step 3

Methodology

Signal rules and model assumptions. Every assumption tested & documented.

Step 4

Results

Sharpe ratio, annual return, win rate, profit factor. Equity curve & drawdown analysis.

Three-Phase Curriculum

10 modules organized into three phases, building from foundations to research readiness.

Phase 1

Foundations

Modules 1–4

  • What defines a research edge
  • Derivatives & contract mechanics
  • FX & commodity markets
  • Fixed income & equity factors
Phase 2

Tooling & Hypothesis

Modules 5–6

  • Statistics for quant research
  • A worked data-pipeline example
  • Writing the hypothesis
Phase 3

Research Execution

Modules 7–10

  • Data sourcing & cleaning
  • Signal construction
  • Model assumptions
  • Backtest results & performance

10-Module Course Grid

Select a module to view its content. Each page is a self-contained reference for the topic.

Module 1

What Is a Research Edge?

 Module 2

Derivatives & Contract Mechanics

 Module 3

FX & Commodity Markets

 Module 4

Fixed Income & Equity Factors

 Module 5

Statistics for Quant Research

 Module 6

Writing a Falsifiable Hypothesis

 Module 7

Data Sourcing & Cleaning

 Module 8

Signal Construction

 Module 9

Model Assumptions

 Module 10

Backtest Results & Performance