Pine Script 102 – The Complete Strategy Guide

Pine Script 102 builds on foundational scripting skills and guides you through the complete process of designing, coding, backtesting, and deploying automated trading strategies on the TradingView platform. This program is structured to take you from understanding strategy logic to writing functional code that can be tested against historical data and applied in live market conditions.

The course begins by establishing the core difference between indicators and strategies in Pine Script. You will learn how strategy scripts differ in structure, how they interact with TradingView’s backtesting engine, and what parameters are required to initialize a strategy. This section covers the strategy function, its arguments, and how to set default properties such as initial capital, commission, slippage, and order types. Understanding these settings is essential for realistic backtesting and performance evaluation.

Once the foundation is set, you move into building entry and exit logic. This involves writing conditional statements that trigger buy and sell orders based on technical criteria. You will learn to use comparison operators, logical functions, and Pine Script’s built-in variables to define entry conditions. The course explains how to structure long and short entries, how to close positions programmatically, and how to handle multiple order types including market and limit orders. Practical examples demonstrate how to enter trades when moving averages cross, when RSI reaches oversold levels, or when price breaks a support or resistance level.

Risk management is a central theme throughout the program. You will learn how to code stop loss and take profit levels using both fixed values and dynamic calculations based on indicators like ATR or percentage of entry price. The course covers trailing stops, which adjust dynamically as price moves in your favor, locking in profits while allowing for continued upside. You will also explore position sizing techniques, including fixed quantity, percentage of equity, and risk-based sizing that adjusts lot size according to account balance and defined risk per trade.

The course then addresses multi-timeframe analysis within strategy scripts. You will learn to reference data from higher or lower timeframes using the request.security function, enabling you to filter trades based on broader market context or confirm signals across timeframes. This technique is valuable for reducing false signals and improving strategy robustness. You will practice coding strategies that only take long entries when the higher timeframe trend is bullish, or that exit positions when a lower timeframe indicator signals reversal.

Backtesting and performance analysis form a major segment of the curriculum. You will learn how to interpret the strategy tester report, including metrics such as net profit, drawdown, win rate, profit factor, and Sharpe ratio. The course explains what each metric reveals about strategy behavior and how to use this data to refine entry rules, exit timing, and risk parameters. You will practice running backtests across different assets and timeframes, comparing results, and identifying overfitting or curve-fitting issues that can lead to poor live performance.

Debugging and optimization techniques are also covered in depth. You will learn to use plot functions and labels to visualize strategy signals and verify logic during development. The course teaches common coding errors in Pine Script, how to read error messages, and how to structure code for clarity and maintainability. You will explore parameter optimization using TradingView’s built-in tools, testing ranges of input values to find combinations that yield the best historical performance without overfitting.

The final sections focus on deployment considerations and live trading limitations. You will learn about order execution on TradingView, including how alerts can be connected to brokers via webhooks, and what limitations exist when running strategies in real time. The course discusses the difference between backtested and live results, slippage, latency, and how to set realistic expectations when moving from simulation to live execution.

Throughout the program, you will work with real strategy examples, including trend-following systems, mean reversion setups, breakout strategies, and hybrid approaches. Each example is coded step by step, tested, and analyzed. By the end of the course, you will have a complete understanding of how to build, test, and refine automated trading strategies using Pine Script, along with the practical skills needed to implement your own trading ideas systematically and confidently.

Who this course is for:

Pine Script 102 is designed for traders who have foundational Pine Script knowledge and want to build complete automated trading strategies. It suits technical analysts, algorithmic traders, and developers who need to backtest and deploy rule-based systems on TradingView. This program is ideal for those transitioning from manual trading to automated strategy development, as well as traders seeking to refine their backtesting skills and optimize performance metrics.