๐Ÿš€AI in Trading Course ๐Ÿค–๐Ÿ“ˆ Pre-Launch - How to Automate your Trades with Cutting-Edge AI.

2024 ai ai in trading pro ai trading artificial intelligence crypto forex prelaunch trading trading analysis Jan 30, 2024
AI in Trading Pro Pre-Launch

We're thrilled to announce that the gates are officially open for our anticipated AI in Trading Course pre-launch!

This is the moment to enhance your trading strategies by leveraging the power of AI in Trading. 

From our own initial tests, we've achieved a consistent 12% to 20% ROI per month.

Your results may vary of course, but we'll be reporting our final results which we anticipate to be higher. 

To celebrate this milestone, we're offering a massive 84% discount for all early birds who sign up right away!

Don't miss this exciting opportunity to explore AI in Trading and learn how to build a cutting-edge & intelligent trading bot in Python.

Get started on your AI in Trading journey today, and shape your AI future! Click [here] to pre-order now.

AI in Trading Course

Pre-Order AI in Trading Pro @ Early Bird Prices

๐ŸšจPrices are Set to Increase Tonight by $10!!

 

Ready to take a deeper dive into the world of AI in Trading?

We have a comprehensive AI in Trading Mastery Course waiting for you! Here's a taste of what you'll unlock:

  • ๐Ÿ“ˆ Module 1: Introduction to AI in Trading
    • Overview of AI in Financial Markets
    • Python for Trading: Essential Libraries
    • Fundamentals of Trading Bots
    • Risk Management in AI Trading
  • ๐Ÿค– Module 2: Building Your First Trading Bot
    • Data Acquisition Techniques
    • Basic Algorithm Design and Testing
    • Backtesting and Performance Analysis 
  • ๐Ÿ•ต๐Ÿผ Module 3: Trading Analysis Techniques
    • Principles of Fundamental Analysis
    • Technical Analysis: Charts and Indicators
    • Integrating Fundamental and Technical Analysis
  • ๐Ÿ” Module 4: Sentiment Analysis in Trading
    • Basics of Market Sentiment Analysis
    • Sentiment Analysis with NLP (LLM)
    • Integrating Sentiment into Trading Strategies 
  • ๐Ÿ“š Module 5: Deep Learning in Financial Markets
    • Introduction to Deep Learning Concepts
    • Time Series Prediction with LSTMs
    • Pattern Recognition with CNNs
    • Anomaly Detection using Auto-encoders
    • Synthetic Data Generation with GANs
  • ๐Ÿ“– Module 6: Reinforcement Learning in Trading
    • Basics of Reinforcement Learning
    • Building RL-based Trading Strategies
    • Advanced RL: DQN and PPO
  • ๐Ÿฆ Module 7: Leveraging Large Language Models 
    • Introduction to ChatGPT in Finance
    • Developing Custom Financial Bots
    • LLMs for Regulatory Compliance
    • Custom Sources
    • Hybrid Models: LLMs and Traditional AI
  • ๐Ÿ“Š Module 8: Optimisation and Yield Maximisation
    • Techniques in Model Optimisation
    • Ablation Studies for Performance Improvement
  • ๐ŸŒ Module 9: Best Practices and Real-World Applications
    • Developing Optimal Trading Strategies
    • Switching between Paper Money and Real Money.
    • Comprehensive AI Trading Bot Project
    • Real-World Case Studies and Analysis

And, here's the icing on the cake ๐ŸŽ‚:

  • LIFETIME ACCESS to AI in Trading Course
  • VIP Technical Support via Chat
  • 1x 60-minute Private 1-on-1 Coaching Session with me Ritesh Kanjee
  • Access Anywhere web or app.
  • Join our vibrant WhatsApp, Discord & Facebook Community
  • Earn your Certificate of Completion
  • [Bonus 1] Traffic Monitoring Dashboard Course
  • [Bonus 2] YOLOv7 Course
  • [Bonus 3] YOLOR/v7 StreamLit Dashboard Application
  • [Bonus 4] StreetStat Application with Kivy | YOLO

Your journey has just begun, and we can't wait to see where AI in Trading takes you!

Here's to exploring new frontiers in AI, Trading and Large Language Models ๐Ÿฅ‚

ENROLL in AI in Trading at 84% OFF

๐ŸšจPrices are Set to Increase Tonight by $10!!

Cheers!

Ritesh Kanjee | Director

Augmented A.I.

P.S. Tomorrow, I'll be sending you an email titled "Day 1 -The Future of Trading Unveiled: Embracing the AI Revolution!".

Make sure to open it as soon as you see it.

 

 

 

 

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