Quant Trading

Turn trading ideas into tested, risk-managed strategies with Python, from clean data to honest backtests.

IntermediatePythonpandasJupyter

QT-101

Modules

Lessons

Video

4.1 hrs

Working files

Curriculum

12 lessons in 4 modules, about 21 minutes each

Python and market data

3 lessons · 55 min

Price data with pandas26 min

Splits, dividends, and adjusted prices17 min

Signals and factors

3 lessons · 1h 07m

Backtesting

3 lessons · 1h 04m

Building a backtest engine29 min

Transaction costs and slippage16 min

Avoiding backtest biases19 min

Risk and portfolio

3 lessons · 1h 00m

Risk metrics that matter18 min

Position sizing20 min

From backtest to paper trading22 min

A repeatable data pipeline
One script pulls and cleans prices for hundreds of IDX stocks.
Signals you can explain
Momentum, mean reversion, and value-quality factors.
Backtests that don't lie
Costs, slippage, and no look-ahead or survivorship bias.
Risk-first portfolios
Position sizing, drawdown limits, and Sharpe that holds up.

All-access membership

This course plus 1 more, every template and future update.