How to do Algorithmic Trading in 2024 with python (FULL COURSE)
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In this video, Mev demonstrates how to build a mean reversion trading bot. They show the bot's performance metrics, discuss various strategies, and explain how to refine and optimize the bot's operation. Mev offers detailed insights into trading algorithms and shares their coding process to help viewers automate their own trading strategies efficiently.
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? over the next 21 days i will take you by the hand to help you automate your trading, invite you to our quant community & give you all of my trading algorithms + code. join my algo trade camp where i show you step by step how to automate your trading: https://algotradecamp.com/
CHAPTERS
0:00 - Introduction to Algo Trading for Emotional Traders
18:00 - Building a Mean Reversion Bot Live
36:00 - Detailed Code Walkthrough and Improvements
54:00 - Handling Low Liquidity Issues in Trading Bots
1:12:00 - Implementing Volume Filters and Trading Logic
1:30:00 - Live Debugging and Optimization Techniques
1:48:00 - Final Adjustments and Key Takeaways
2:00:00 - Introduction to Market Maker Bot
2:18:00 - Setting Up Trading Strategies
2:36:00 - Coding the Market Maker Logic
2:54:00 - Debugging and Error Handling
3:12:00 - Simulating Trades and Adjustments
3:30:00 - Reviewing Trade Logs
3:48:00 - Final Thoughts and Future Enhancements
4:06:00 - Introduction to Algo Trading Bots
4:24:00 - Setting Up and Debugging the Trading Bot
4:42:00 - Implementing Risk Management Features
5:00:00 - Enhancing Trading Strategies
5:18:00 - Live Testing and Adjustments
5:36:00 - Boot Camp and Learning Resources
5:54:00 - Conclusion 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.
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