QR Analyst Training Program

2026 Fall AlgoGators New Analyst Training Program

AlgoGators Investment Fund — Internal Resource

Investment Proposal Framework

Every analyst builds toward the same structure: a complete Investment Proposal (IP) that documents hypothesis, data, methodology, and backtest results.

Section 1

Hypothesis

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

Section 2

Data

2a: Data sourcing & cleaning. 2b: QD approval gate. Data must exist before backtest.

Section 3

Methodology

3a: Signal rules. 3b: Model assumptions. Every assumption tested & documented.

Section 4

Results

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

Three-Phase Curriculum

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

Phase 1

Foundations

Weeks 1–4

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

Tooling & Hypothesis

Weeks 5–6

  • Statistics for quant research
  • AlgoGators toolstack & data pipeline
  • Writing the hypothesis (IP §1)
Phase 3

Research Execution

Weeks 7–10

  • Data sourcing & cleaning (Section 2)
  • Signal construction (Section 3a)
  • Model assumptions (Section 3b)
  • Backtest results & performance (Section 4)

10-Week Training Grid

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

Week 1

What Is a Research Edge?

 Week 2

Derivatives & Contract Mechanics

 Week 3

FX & Commodity Markets

 Week 4

Fixed Income & Equity Factors

 Week 5

Statistics for Quant Research

 Week 6

Toolstack, Data Pipeline & Writing the Hypothesis (IP §1 & §2)

 Week 7

Data Sourcing & Cleaning (IP §2)

 Week 8

Signal Construction (IP §3a)

 Week 9

Model Assumptions (IP §3b)

 Week 10

Backtest Results & Performance (IP §4)