Cognitive Biases in Trading: The Errors You Cannot Feel
Biases are not errors you can notice and correct. They feel like reasoning, which is why the countermeasures must be structural.
Rules are easy to write and hard to follow. These guides cover the biases that break plans and the process controls that make good behaviour the default.
No prior knowledge assumed. Start here.
Biases are not errors you can notice and correct. They feel like reasoning, which is why the countermeasures must be structural.
Fear and greed are useful labels for measurable behaviour: forced selling and crowded positioning. Both leave data you can observe.
Overtrading is rarely a strategy decision. It is boredom, action bias, and the belief that effort should correlate with results.
A good decision can lose and a bad decision can win. Learning to judge the decision rather than the result is the central mental shift in trading.
One planned loss is routine. Revenge trading is what converts it into a day, a week, or an account. The interruption has to be mechanical.
A journal is not a diary. It is the dataset that distinguishes a strategy problem from an execution problem, which no other source can tell you.
Discipline is not a character trait you either have or lack. It is an outcome of how your process is designed, and design is fixable.
Discipline is not something you bring to the screen. It is something you build into the process before you get there.
Assumes you know order types, charts, and basic risk sizing.
Most traders abandon working strategies. The decision almost always happens during a long flat period rather than at the bottom of a sharp decline.
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.
Indicators & Signals
How technical indicators are calculated, what they actually measure, and how to turn moving averages, RSI, MACD, ATR, and volume tools into tested trading rules.
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.