17 in-depth guides

Technical Indicators and Trading Signals, Explained From Scratch

Indicators are not predictions. They are compressions of price and volume history. These guides show the maths in plain English, then turn each indicator into testable rules.

Beginner guides

No prior knowledge assumed. Start here.

Intermediate guides

Assumes you know order types, charts, and basic risk sizing.

Every guide in this category

Other categories

Trading Foundations

Plain-English foundations for new traders: what a trading strategy is, how markets work, order types, timeframes, and how to build a first rule-based plan.

Trading Strategy Types

In-depth guides to every major trading strategy type, from trend following and mean reversion to pairs trading, arbitrage, market making, and event-driven trading.

Chart Patterns & Price Action

Candlestick patterns, classical chart patterns, support and resistance, and price action structure, each with objective definitions you can actually code and backtest.

Strategies by Asset Class

The strategies that actually fit each market: stocks, ETFs, options, futures, forex, crypto, commodities, bonds, and index products, with costs, hours, and leverage compared.

Risk & Money Management

Position sizing, stop losses, drawdown control, correlation risk, and the maths of ruin, explained so you can size trades with a formula instead of a feeling.

Algorithmic & Quant Trading

How to turn a discretionary idea into code: signal design, factor models, execution algorithms, data pipelines, machine learning pitfalls, and production monitoring.

Backtesting & Validation

Backtesting methodology that survives contact with live markets: look-ahead bias, survivorship bias, walk-forward analysis, Monte Carlo testing, and realistic cost modelling.

Market Mechanics & Execution

Order books, matching engines, order types, spreads, slippage, market makers, settlement, and the trading session structure that decides what your fill really costs.

Trading Psychology & Process

The behavioural side of trading: loss aversion, revenge trading, overconfidence, journaling, routine design, and the process controls that keep rules intact under stress.