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Trading Bots with Python - 7 Bots Full Course (Step By Step Tutorial)
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In this video, the I will demonstrate the use of trading bots to make objective decisions in trading, emphasizing their ability to operate 24/7 and handle various financial instruments. This tutorial includes live coding sessions where I adjust parameters such as moving averages and timeframes to optimize trading strategies. You can also learn about risk management through custom settings like the kill switch, and the potential career opportunities in algo-trading and coding.
CHAPTERS
00:00:00 - Introduction: Getting Started with Trading Bots
00:10:00 - Understanding the Basics of Algorithmic Trading
00:20:00 - Emotional Trading: How to Overcome and Automate
00:30:00 - Setting Up Your Coding Environment for Trading Bots
00:40:00 - Writing Your First Simple Trading Bot in Python
00:50:00 - Deep Dive into LunaBot's Code Structure
01:10:00 - Connecting to Cryptocurrency Exchanges with API
01:40:00 - Introduction to Technical Indicators: SMA Example
02:10:00 - Handling Different Market Conditions in Code
03:20:00 - Advanced Coding Techniques for Robust Trading Bots
04:10:00 - Future of Algorithmic Trading: Trends and Predictions
04:30:00 - Bonus Content: Additional Resources for Learning
04:45:00 - Implementing Multi-threading in Bots for Efficiency
05:00:00 - Security Measures for Trading Bots
05:15:00 - Using Historical Data to Test Bot Strategies
05:30:00 - Enhancing Bot Algorithms with Machine Learning
06:00:00 - Scaling Up: Managing Multiple Bots Simultaneously
06:15:00 - Live Market Analysis: Adapting Strategies in Real-Time
06:45:00 - Collaborative Trading Strategies: Sharing Insights and Code
07:00:00 - Final Review and Future Directions in Algo Trading
07:10:00 - Closing Remarks and Next Steps for Aspiring Algo Traders
Disclaimer:
The content presented on this channel is for educational and informational purposes only and does not constitute financial advice. All trading involves risk and may not be suitable for all investors. You should carefully consider your investment objectives, level of experience, and risk appetite before investing.
Past performance is not indicative of future results. There is no guarantee that any trading strategy or algorithm discussed in this channel will result in profits or will not incur losses. The information provided on this channel is based solely on my experiences and knowledge in coding trading algorithms, and I do not promise or guarantee financial success.
CFTC Disclaimer: Commodity Futures Trading Commission (CFTC) regulations require that I inform you of the risks associated with trading commodities and derivatives. There is a substantial risk of loss in trading and investing.
I am not a licensed financial advisor or a registered broker-dealer. My content is based on my personal perspectives and insights and should not be relied upon as a guarantee of success in trading. By accessing and using this channel, you agree that I will not be held liable for any losses or damages arising from any decision you make based on my content.
Always do your own research and consult with a professional financial advisor before making any investment decisions.
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