AI Trading with TradingView & Pine Script | Zero to Pro

In this lesson, you'll learn how to read trading charts like a pro, even if you've never looked at one before. We break down what trading indicators actually are, how they work, and why they matter. You'll discover the three core types of indicators (Trend, Momentum, and Volume) and understand the role each plays in identifying high probability trade setups. By the end of this lesson, you'll know how to combine multiple signals for confirmation instead of guessing, and see how AI tools like PineGen AI can instantly build indicator based strategies from plain English. no coding required.

In this lesson, you'll get a complete walkthrough of TradingView, the world's most popular charting platform used by millions of traders across stocks, crypto, forex, and futures. You'll learn how to create your free account, navigate the interface, load any market symbol, switch between chart types and timeframes, and add indicators like RSI, MACD, and Bollinger Bands in seconds. We'll also introduce the Pine Script Editor, where you'll deploy AI-generated strategies throughout this course and show you how to use the Strategy Tester to analyze backtest results. By the end of this lesson, you'll feel at home inside TradingView and ready to build.

In this lesson, you'll learn how to transform TradingView from a generic default setup into a fully personalized trading workspace. We cover chart appearance customization including backgrounds, candle colors, and themes that reduce eye strain during long sessions. You'll master multi-timeframe analysis, learning when to use the daily chart for trend direction and lower timeframes for precise entries. We introduce the "Rule of Three" for indicators: one trend, one momentum, and one volume, so your charts stay clean and actionable. Finally, you'll learn how to save multiple chart layouts so you can switch between strategies instantly without rebuilding from scratch.

In this lesson, you'll learn three proven methods to identify high-probability buy and sell points directly on TradingView charts. First, we cover RSI and how readings below 30 signal oversold buy opportunities while readings above 70 signal overbought sell conditions. Next, we walk through drawing support and resistance levels, showing you how price respects these zones repeatedly and how a resistance breakout becomes a powerful new buy signal. Finally, we explain moving average crossovers, specifically the Golden Cross where the 50 SMA crosses above the 200 SMA and the Death Cross, and why they reliably signal the start of major trends. By the end of this lesson, you'll have a clear, repeatable framework for timing entries and exits.

In this lesson, you'll get a clear, beginner friendly introduction to Pine Script, TradingView's built-in programming language for creating custom indicators, strategies, and alerts. We break down the four core parts of every Pine Script: the version declaration, script declaration, input parameters, and calculation/plotting logic. You'll learn basic syntax concepts including variables, built-in functions like ta.rsi and ta.sma, the plot function, and conditional if statements, then walk through a complete working RSI indicator built in just seven lines of code. By the end of this lesson, you'll be able to read and understand Pine Script confidently, whether you write it manually or use AI tools to generate it instantly.

In this lesson, you'll get a complete, no-fluff walkthrough of how to go from a raw trading idea to a fully backtested, alert-enabled strategy without writing a single line of code. We start with trading psychology and how the coding barrier forces traders to compromise their strategies before the market ever gets a chance to prove them wrong. You'll then discover what "zero coding" really means in 2026, why AI-generated Pine Script is just as professional as hand-written code, and how the shift to AI trading is compounding advantages for traders who adapt. We test every major Pine Script AI tool head-to-head including ChatGPT, Pineify, PineScript Wizard, GetPineScript, ChatGPT Atlas, and PineGen AI using the same strategy prompt across all of them so you can see the real differences. Finally, we build a complete multi-condition RSI, MACD, Volume, and Breakout strategy live, refine it with ATR-based position sizing and Telegram alerts, and show you how to understand what the code is actually doing, turning generation into education.

In this lesson, you'll get an honest, side-by-side breakdown of every major Pine Script AI tool available right now, tested with the exact same strategy prompt so you can see real differences and not marketing claims. We cover ChatGPT, Pineify, PineScript Wizard, GetPineScript, ChatGPT Atlas, and PineGen AI, comparing each on code accuracy, backtesting integration, chart preview, and iteration capability. Then we run a live crash course building the same RSI and volume strategy across three tools simultaneously, exposing exactly where each one breaks down. Finally, we walk through a complete real-world strategy build in PineGen AI, adding ATR-based position sizing and Telegram alerts, and using the explanation feature to understand every line before going live. By the end of this lesson, you'll know exactly which tool fits your workflow and why.

In this lesson, you'll learn the exact workflow professional traders use to go from a raw strategy idea to a live, data-validated trading system without months of coding or wasted capital. We break down why backtesting is the single biggest difference between traders who consistently profit and those who blow accounts trading untested ideas. You'll see a live demonstration of describing a breakout strategy in plain English, generating production-ready Pine Script instantly with PineGen AI, and reading backtest results including win rate, profit factor, max drawdown, and total return, all within 30 seconds. You'll also learn the professional habit of testing multiple variations rapidly, keeping only the strategies that the data actually supports, and iterating with precision instead of gut feeling.

In this lesson, you'll learn exactly how to backtest an AI-generated trading strategy and more importantly how to read what the results are actually telling you. We walk through a clear three-step process: generating and refining your strategy inside PineGen AI using its integrated backtesting, understanding the four key metrics every trader must evaluate including win rate, profit factor, total return, and maximum drawdown, and finally deploying to TradingView's Strategy Tester for a detailed trade-by-trade visual confirmation. You'll understand why maximum drawdown is the most overlooked metric and how to use it as a personal risk tolerance check before committing a single dollar to live trading.

In this lesson, you'll learn how to turn any TradingView Pine Script strategy into a fully automated, alert-enabled trading system that runs 24/7 without you watching the screen. We cover why most traders build strategies but never configure alerts, leaving them manually watching charts that were supposed to watch for them. You'll understand how alertcondition() functions work as the bridge between your Pine Script and the real world, triggering email, SMS, Telegram, and webhook notifications the moment your buy or sell conditions fire. We then show how PineGen AI generates complete, production-ready scripts with alerts and webhook integration already built in, structured to avoid repainting and false triggers from the start. By the end of this lesson, your strategy will be running automatically while you sleep.

In this final lesson, you'll learn why strategies that work on crypto often fail on US stocks and ETFs and exactly how to fix that. We break down the four unique characteristics of US equity markets: fixed trading hours, violent open volatility in the first 30 minutes, ETF correlations that drive individual stock behavior, and illiquid after-hours data that distorts backtests. You'll learn how to implement multi-timeframe confirmation using Pine Script's request.security() function and why barmerge.lookahead_off is non-negotiable for backtest accuracy. We then show the real impact of session filtering, with the same strategy jumping from a 49% to a 68% win rate simply by restricting signals to stable market hours between 10:00 AM and 3:30 PM Eastern. By the end of this lesson, you'll know how to build Pine Script strategies that respect how US markets actually operate and use PineGen AI to get 90% of the way there in 30 seconds instead of 4 hours.