AI Swing Trader

AI Swing Trader
Forecast the Trend & Trade: Stocks, Futures, Commodities, Forex, and Crypto

AI can forecast direction, path, range, and uncertainty, but a forecast is not a trade. AI Swing Trader teaches a practical multi-day trading framework that combines AI models with market structure, helping traders stop chasing signals and build cleaner trade plans.

Inside this book, Farrukh “Johnny” Malik shows how to use AI forecasts beside trendlines, moving averages, support, resistance, ATR, forecast channels, sector strength, market regime, and disciplined risk management. The goal is to identify when a forecast confirms a swing setup with structure, room, and manageable risk.

What You Will Learn
• Use the daily chart for trade direction, the hourly chart for AI forecast structure, and the 15-minute chart for entry refinement
• Understand why the forecast gives the idea, but the setup gives the trade
• Trade AI pullback longs, failed-rally shorts, breakouts, failed breakouts, sector rotation, and regime shifts
• Compare stocks, ETFs, futures, commodities, forex pairs, and crypto assets with one repeatable process
• Build stops, targets, position sizing, watchlists, and after-close routines around market structure

A Practical Swing-Trading System
This book is organized around a complete playbook. You will learn how to evaluate whether the market is trending, ranging, chopping, or breaking down; whether price is above or below the 20-day and 50-day moving averages; whether the daily trendline is intact; whether the AI forecast is bullish, bearish, flat, or mixed; and whether the forecast channel is clear enough to support a trade.

The framework is simple: daily chart for permission, hourly AI forecast for the plan, and 15-minute chart for optional execution precision.

Markets Covered
Stocks and ETFs, index futures, gold, crude oil, copper, corn, EUR/USD, GBP/USD, Bitcoin, and Ethereum.

AI Models Covered
The book introduces models such as Chronos-2, TimesFM 2.5, TimeGPT, Chronos-Bolt, DeepAR+, Lag-Llama, MOIRAI, PatchTST, Time-MoE, XGBoost, and LightGBM.

The models are explained through trading logic: trend direction, forecast path, channel width, volatility, invalidation, and risk control.

Who This Book Is For
This book is for traders who want to use AI without turning trading into gambling by algorithm. Beginners will learn a structured chart stack and clear trade rules. Intermediate traders will learn how to filter pullbacks, breakouts, failed moves, and sector rotation. Advanced traders will find model-aware frameworks, multi-asset comparison logic, and a disciplined playbook for repeatable swing-trading systems.

Inside the 23-Chapter Playbook
You will move from foundation to execution: why swing trading fits AI, the chart stack, why forecasting is not the same as trading, the four AI swing systems, pullback longs, failed-rally shorts, breakout filters, failed-breakout reversals, sector strength, energy rotation, small caps, market regime, gold, crude oil, copper, agricultural commodities, forex trends, reversal watchlists, Bitcoin volatility channels, Ethereum relative strength, stops, targets, daily prep, after-close review, and the complete AI swing trader playbook.

The Core Message
The AI swing trader does not ask, “What will price do next?”

The AI swing trader asks: Does the forecast confirm a clean multi-day trade with trend, structure, room, and manageable risk?

If you want a trader-first framework for using AI forecasts across stocks, futures, commodities, forex, and crypto, AI Swing Trader gives you a practical system for turning prediction into disciplined execution.