Quant Labs

Launch-ready Python workbooks for practicing quant workflows

Explore interactive Python workbooks covering derivatives, factor research, portfolio construction, and stochastic simulation.

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35 workbooks found

API Data Ingest Practice

Beginner
#1

Pull free market data APIs, handle rate limits, and normalize columns for later use.

APIDataWorkflow
Link: Coming soon

ETF Backtest Starter Kit

Beginner
#2

Follow guided steps to load ETF prices, build a simple strategy, and evaluate performance.

BacktestETFStrategy
Link: Coming soon

Factor Screener Lite

Beginner
#3

Screen stocks with size, value, and momentum signals using interactive widgets.

FactorsScreeningWidgets
Link: Coming soon

Intro to Risk Metrics

Beginner
#4

Walk through volatility, drawdown, and Sharpe ratio calculations using tidy helper functions.

RiskMetricsSharpe
Link: Coming soon

Loan Default Prediction with Gradient Boosting

Beginner
#5

Train, calibrate, and explain boosted credit models with SHAP insights.

CreditMLExplainability
Link: Coming soon

Monte Carlo Scenario Simulator

Beginner
#6

Model correlated paths, apply regime-dependent shocks, and visualize distribution shifts.

Monte CarloSimulationVisualization
Link: Coming soon

Options Vocabulary Workbook

Beginner
#7

Introduce options terminology, payoff diagrams, and small quizzes before diving deeper.

OptionsVocabularyPayoffs
Link: Coming soon

Pandas Data Exploration Playground

Beginner
#8

Practice cleaning, merging, and summarizing market datasets with step-by-step prompts.

PandasData CleaningExploration
Link: Coming soon

Python Fundamentals for Finance

Beginner
#9

Review core Python syntax, functions, and libraries needed to follow the quant workbooks.

PythonBasicsSetup
Link: Coming soon

Return Calculations 101

Beginner
#10

Compute simple, log, and cumulative returns with plenty of inline checks and visuals.

ReturnsMathVisualization
Link: Coming soon

Time Value of Money Drills

Beginner
#11

Solve discounting and compounding exercises with instant feedback cells.

TVMDiscountingExercises
Link: Coming soon

Visualizing Distributions with Matplotlib

Beginner
#12

Learn histograms, KDE plots, and annotations for financial return distributions.

VisualizationMatplotlibDistributions
Link: Coming soon
Showing 1 to 12 of 35 workbooks

About these Python workbooks

These workbooks cover key quantitative finance topics including options pricing, portfolio optimization, risk analytics, and algorithmic trading. Each workbook includes step-by-step explanations and practical examples in Jupyter format.

Signed-in users can open beginner and intermediate workbooks directly in Google Colab or download the original `.ipynb` files.