Learn Quantitative Development - Expanded Projects

Learn quant development by building data pipelines, models, backtesters, and risk tools.

This directory contains expanded guides for each project in the Learn Quantitative Development curriculum. Each project maps a finance concept to a buildable system.


Learning Philosophy

Quant development is about data integrity, statistical reasoning, and careful evaluation. These projects emphasize correctness, reproducibility, and risk awareness.

The Progression

DATA PIPELINE
  P01 Stock Data API Client
  P02 Financial Data Visualizer

STRATEGY CORE
  P03 SMA Crossover Backtester
  P04 Monte Carlo Price Simulator
  P05 Black-Scholes Option Pricer

ADVANCED STRATEGY
  P06 Pairs Trading Backtester
  P07 Efficient Frontier Optimizer
  P08 Event-Driven Backtester

RISK AND EXECUTION
  P09 Value at Risk Calculator
  P10 Paper Trading Bot

Project Index

# Project Difficulty Time Core Concepts
P01 Stock Data API Client Beginner Weekend Data retrieval
P02 Financial Data Visualizer Beginner Weekend Time series plots
P03 SMA Crossover Backtester Intermediate Weekend Backtesting
P04 Monte Carlo Simulator Intermediate Weekend Stochastic models
P05 Black-Scholes Pricer Intermediate Weekend Options pricing
P06 Pairs Trading Backtester Intermediate 1-2 weeks Mean reversion
P07 Efficient Frontier Optimizer Intermediate 1-2 weeks Portfolio theory
P08 Event-Driven Backtester Advanced 2-3 weeks Systems design
P09 VaR Calculator Intermediate Weekend Risk metrics
P10 Paper Trading Bot Advanced 2-3 weeks Execution

Core Concepts Map

Data Integrity

  • What it is: Clean, aligned time series data
  • Learned in: P01, P02
  • Key insight: Bad data destroys models

Strategy Evaluation

  • What it is: Backtesting and validation
  • Learned in: P03, P06, P08
  • Key insight: Performance depends on assumptions

Stochastic Modeling

  • What it is: Random processes and risk
  • Learned in: P04, P05, P09
  • Key insight: Uncertainty must be quantified

Portfolio Construction

  • What it is: Balancing risk and return
  • Learned in: P07
  • Key insight: Optimization is about tradeoffs