Learn
Subject · Learn library

Trading

Trading courses on price structure, trade planning, options, indicators, order flow, risk, backtesting, and automation.

Courses
8
Lessons
118
Format
Interactive

Overview

Study market observations, trade decisions, and the methods used to test and manage them. Course examples and labs use synthetic data.

Courses

Choose a course by topic. Each course lists recommended background and its lessons.

Market Structure

Read price structure, ranges, liquidity, multi-timeframe context, entry models, invalidation, participation, and options contract selection.

7 lessons

Trade Setup and Execution

Define trade setups, plan entries and exits, size positions, manage trades, and use records to review decisions.

15 lessons

Options Trading

Read option contracts and chains, calculate expiration payoffs, interpret volatility and the Greeks, and evaluate options strategies.

16 lessons

Technical Indicators

Calculate and interpret trend, momentum, and volatility indicators, and evaluate indicator rules.

16 lessons

Volume and Order Flow

Interpret volume, participation, liquidity, order flow, profiles, and execution evidence alongside price.

16 lessons

Trading Risk Management

Set risk budgets, size positions, evaluate portfolio exposure and drawdowns, and document risk decisions.

16 lessons

Algorithmic and Automated Trading

Specify automated trading workflows, data and order handling, deployment controls, monitoring, and operational risk procedures.

16 lessons

Recommended background

Market Structure introduces chart terminology. Other courses identify the chart, planning, risk, or testing concepts useful for their topics.

Trading worked example

Capstone: the same method, on one real security

A worked example, separate from the Courses and not a recommendation. It applies material from the eight Trading Courses, once, end to end, to a real listed security using real market data from a window that closed on Friday, August 14, 2026.

Analysis as of August 16, 2026

Worked example · real data

Published

IREN — a worked analysis, as of August 16, 2026

Fifty completed daily sessions, June 4 to August 14, 2026, read using the methods covered in these courses: structure and levels, indicators, participation and volume, exploratory pattern studies quoted with their sample sizes and their limits, then risk framing and scenarios. The dataset every figure derives from is published beside the analysis, so the arithmetic is yours to check.

Real market data Point-in-time · August 16, 2026 Not a course Dataset published

Read the date before you read the analysis. This is educational analysis of real market data. It is not personalized investment advice, not a trade signal, and not a guarantee of any outcome. It describes one weekend — it was written as of Sunday, August 16, 2026, looking ahead to the Monday, August 17, 2026 session — and it is not a live or current view of that security or of any price. The eight courses above teach with synthetic, deterministic examples; this one example does not, and that is exactly why it carries a notice of its own.