Here is the new trading course outline for Auto Trading with TradingView and Python. You will need to also consume portions of the other course including

TradingView Course – QUANTLABS.NET

TradingView Pine Script course – QUANTLABS.NET

This one includes Python, Pip for Python Packages, and Redis NOSQL

Python Algo Trading Bot Course – QUANTLABS.NET

This new course takes care of the ability to automatically trading outside TradingView  from your Pine script strategies.

Get your free trading tech PDF books2 – QUANTLABS.NET

Take advantage of this LIFETIME price to everything I have. This course is included with this offer.

(this is our Black Friday Promo deal which expires on Monday Nov 27) This price goes back to annual subscription term and double after expiry.

Thinks includes all new current of my

Python Crypto Trading Infrastructure

TradingView

and TradingView Pinescript

If you want access to this, please realize this membership will be required 

Quant Elite TradingView – QUANTLABS.NET

Course Outline

I Introduction

1. Brief overview of auto trading
2. Growing popularity of auto trading with TradingView
3. What is TradingView?
4. Explanation of TradingView platform
5. Key features and benefits
6. TradingView’s auto trading functionality

III. How Does Auto Trading Work?

1. Understanding TradingView’s automated trading scripts
2. Choosing and implementing trading strategies
3. Setting up auto trading alerts and notifications
4. Advantages of Auto Trading with TradingView
5. Removes emotional bias from trading decisions
6. Executes trades quickly and efficiently
7. Backtesting and optimizing trading strategies
8. Availability of a wide range of indicators and indicators
9. Risks and Limitations of Auto Trading
10. Lack of human judgment and intuition
11. Technical issues and potential system failures
12. Market volatility and unpredictability
13. Best Practices for Auto Trading with TradingView
14. Thoroughly test and verify trading strategies
15. Regularly monitor and adjust automated setups
16. Employ risk management techniques to mitigate losses

VII. Case Studies and Success Stories

1. Profiles of traders who achieved success with trading automation
2. Real-life examples of profitable auto trading strategies

VIII. Future Trends and Developments

1. Potential advancements and innovations in auto trading technology
2. Integration with artificial intelligence and machine learning
3. Regulatory considerations and implications
4. Conclusion
5. Recap of benefits and challenges of auto trading with TradingView
6. Encouragement for audience to explore auto trading opportunities