The trading course

How markets really work: the auction, the limit order book, bid-ask spreads, market making, and liquidity. The microstructure every trader should understand.

A full map of derivatives markets: futures pricing and mechanics, the rates complex, swaps, options fundamentals, put-call parity, and crypto perpetuals.

Options and volatility in depth: the greeks, realized vs implied volatility, the volatility risk premium, skew, term structure, dealer positioning, and structures.

Futures markets contract by contract: who trades each and why, the COT report, positioning, seasonality, and term structure. A complete guide to futures positioning.

Crypto perpetual futures in depth: open interest, funding rates, liquidations, orderbook depth, crypto options, cycles, and exchange risk.

The equities asset class: indices, ETFs, dispersion, market breadth, credit spreads, and reading the SPX regime with cross-asset internals.

Where returns come from: harvesting risk premia through momentum and trend, the volatility premium, mean reversion, carry, delta-neutral relative value, and the value and defensive styles.

Technical analysis grounded in data: what actually holds up, why it works when it works, and how to use charts as an execution layer rather than a belief system.

Seven tradeable strategies built on the earlier parts: selling the volatility risk premium, earnings and pre-earnings vol, forward volatility, option convexity, and momentum in futures and crypto, then building the book.

The quantitative backbone: statistics, expectancy, backtesting pitfalls, volatility-based sizing, the Kelly criterion, drawdown math, and portfolio construction.

Using AI language models as a working tool for trading: what they can and cannot do, prompting for honest answers, research, coding, and daily workflow.