HOW TO BUILD AI TRADING BOT: Train Machine Learning Models to Predict Price Movements And Generate Reliable Trading Signals - Couverture souple

McBurton, Ally

 
9798243434270: HOW TO BUILD AI TRADING BOT: Train Machine Learning Models to Predict Price Movements And Generate Reliable Trading Signals
Couverture souple
ISBN 13 : 9798243434270
Editeur : Independently published, 2026

Synopsis

Are you tired of watching the markets move without you?

What if you could build your own AI-powered trading bot that trains machine learning models to predict price movements and generate reliable trading signals—putting consistent, data-driven decisions in your hands?

In How to Build AI Trading Bot: Train Machine Learning Models to Predict Price Movements and Generate Reliable Trading Signals, Ally McBurton, a seasoned business developer and tech expert passionate about helping businesses harness modern technology for growth, shares the practical system he developed through years of hands-on expertise, close observation, and real-world experience.

This step-by-step guide takes you from setup to live trading, showing exactly how to:

  • Collect and clean market data from reliable sources
  • Engineer powerful features that reveal hidden patterns
  • Train robust supervised learning models to forecast price direction and magnitude
  • Backtest strategies rigorously with realistic costs and slippage
  • Implement risk controls, stop-losses, and position sizing for capital protection
  • Deploy your bot securely on cloud platforms for 24/7 operation
  • Monitor performance and retrain continuously as markets evolve

Whether you're a trader looking to automate your edge, a developer entering quantitative finance, or a professional seeking systematic advantages, this book delivers clear, actionable methods to create trading signals that stand up to real conditions.
Stop guessing. Start building.

Grab your copy today and take control of your trading future.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2026
Langue
anglais
ISBN 13 
9798243434270
Reliure
Broché
Nombre de pages
129
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
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