Quant Buffet Academy
Quant Trading Academy
Seven lessons for complete beginners — market data, infrastructure, asset classes, orders, Sharpe and drawdown, and the classic strategies behind our 1,800+ research library. Interactive diagrams included.
From zero to systematic trader
What quantitative trading is, how Quant Buffet teaches it, and the mindset you need before touching code.
- Mindset
- Workflow
- Lab overview
Market data fundamentals
Prices, bars, adjusted data, and the panels your strategies consume every day.
- OHLCV
- Adjusted close
- Panels
- Bias
Asset classes & ETF proxies
Equities, bonds, commodities, FX, and crypto — how Quant Buffet represents each in backtests.
- ETFs
- Risk
- Universes
- Correlation
Microstructure & trading infrastructure
Exchanges, brokers, spreads, and how research simulation differs from live trading.
- Venues
- Brokers
- Costs
- Failure modes
Order types & execution
Market, limit, and stop orders — and how the PortfolioEngine simulates fills.
- Orders
- Slippage
- Rebalance
- Turnover
Performance metrics & debugging
Sharpe, drawdown, CAGR — and fixing the errors you will see in the lab.
- Sharpe
- Drawdown
- Debug
- Overfitting
Classic strategies in the library
Momentum, trend, mean reversion, risk parity — the patterns behind 1,800+ Quant Buffet strategies.
- Momentum
- Mean reversion
- Templates
- Case study