how to actually use ai for trading

Want to automate your trading? learn exactly how in the next 15 days: https://algotradecamp.com/ i believe code is the great equalizer and if you learn how to code you can build anything for the rest of your life, especially since we have AI now. I learned how to code because i had to automate my trading to remove emotions. it was the best decision of my life. if you would like me to hold your hand through the process of learning to code and automate your trading, then join me in the bootcamp. there is a 90 day 100% money back guarantee, no questions asked so you can consume all the trainings and get a refund if you want. no risk to you. join here: https://algotradecamp.com/ do you want to trade automatically? do you want to remove all emotions? do you want to be connect with and learn from other automated traders? i will show you how to automate your trading in the trade bot challenge, join here: https://algotradecamp.com/ Automate your trading: https://algotradecamp.com/ Business Contact: [email protected] CHAPTERS 00:00:00 - Introduction to AI in Trading 00:12:14 - Common Misconceptions about AI Predictions 00:24:30 - Importance of Data in Trading Algorithms 00:35:45 - Leveraging Large Language Models (LLMs) 00:47:22 - Introduction to Hidden Markov Models (HMM) 00:59:38 - Historical Data and Backtesting 01:12:05 - Understanding Market Regimes 01:24:29 - Jim Simons and His Influence on Algorithmic Trading 01:36:53 - Setting Up Your Trading Environment 01:48:10 - Preparing Data for AI Models 02:00:24 - Building a Simple Trading Bot 02:12:41 - Integrating LLMs into Your Workflow 02:25:03 - Fine-Tuning AI Models 02:37:12 - Testing and Debugging Code 02:49:35 - Advanced Techniques with HMM 03:02:07 - Analyzing Model Performance 03:14:22 - Common Errors and Their Solutions 03:26:44 - Optimizing Trading Strategies 03:38:59 - Understanding Market Indicators 03:51:20 - Case Study: Bitcoin Trading Strategies 04:03:37 - Real-Time Market Analysis 04:15:58 - Incorporating News and Sentiment Analysis 04:28:21 - Portfolio Management with AI 04:40:33 - Risk Management Techniques 04:52:44 - Automating Your Trading System 05:05:11 - Monitoring and Adjusting AI Strategies 05:17:32 - Scaling Up Your Trading Operations 05:29:46 - Future Trends in AI Trading 05:41:58 - Ethical Considerations in AI 05:54:10 - Building a Community of Traders 06:06:31 - Live Q&A Session 06:18:47 - Reviewing the Day's Learnings 06:30:56 - Practical Tips for Continuous Improvement 06:43:10 - The Role of Human Intuition in Trading 06:55:29 - Final Thoughts and Takeaways 07:07:50 - Closing Remarks and Next Steps 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. Automate your trading: https://algotradecamp.com/ Business Contact: [email protected]