New to algorithmic trading? This video explains what algo trading is, how systematic strategies work, and the step-by-step process retail traders follow to build, test, and execute algos without manual decision-making.

Learn how profitable algo trading strategies start with simple market observations. This video explains how to spot repeatable patterns using price action, volume, and structure—and convert a trading idea into clear, testable rules.

Learn how to turn a trading idea into a clear strategy by defining entry rules, stop-loss logic, and profit targets. This video explains how precise rules help protect capital and make algos consistent and testable.

Learn how to backtest a trading strategy before using it in live markets. This lesson explains how to turn an idea into clear rules, test it on past data, include real trading costs, and judge whether a strategy truly works. It also covers drawdowns, risk limits, and why backtesting matters more than past returns.

Learn the complete algorithmic trading workflow using a real example. This lesson shows how to convert an idea into a rule-based strategy, backtest it with costs, validate it through forward testing, and deploy it live using a broker API. It also explains execution settings, order types, and how algos place and exit trades automatically.

Learn what forward testing is and why it matters before deploying any trading strategy. This lesson explains how forward testing validates a strategy in live market conditions without risking capital, why backtesting alone is not enough, and how to decide when a strategy is ready for live deployment or needs refinement.