Knowledge-base section
Trading Strategies
Structured approaches to scalping, intraday, swing and position trading, with explicit entry, exit and risk rules.
Algorithmic Trading Strategies: Types and How to Test ThemA map of algorithmic strategy classes based on regulatory documents, the boundary between what can be tested on closed bars and what depends on infrastructure, plus a protocol for comparing two algorithms on the same sample.15 minAlgorithmic Trading: What It Is and How to Test a Trading AlgorithmWe explain what algorithmic trading really is: the components of a trading algorithm, how it differs from a bot and high-frequency trading, and a protocol for testing an idea—from unambiguous rules and a backtest with costs to a forward test.18 minForex: What Kind of Market It Is and How It WorksA single currency-pair chart may refer to different instruments. We explain how Forex is structured, what a trade costs, and how to test an Expert Advisor before trading.9 minTrading Strategy: How to Build Entry, Exit, and Testing RulesA trading idea becomes a strategy only when it has unambiguous rules and a testing process. We examine the setup, entry, exit, risk, costs, holdout sample, and trade journal without promising future results.9 minHow to Trade Arbitrage: Spreads, Costs, and Execution RiskWe explain how an arbitrage strategy differs from a directional trade, how to calculate the spread from the order book, and why it often turns negative after fees.16 minTrading Strategy Backtesting: What It Is and How to Test Without OverfittingA practical trading strategy backtesting protocol: define the rules, data, and execution model, calculate trades and drawdown, separate tuning from validation, and keep a change log.13 minOrder Book: How to Read Market Depth and Estimate SlippageWe explain what you can see in the order book, how to calculate volume imbalance across price levels, and how to estimate the average execution price of a market order before submitting it.13 min
