how to actually build a trading bot
Want to automate your trading and get my free roadmap and resources? go here: https://algotradecamp.com/
i show you step by step my entire algo trading process in this video where we go from idea all the way to a fully automated trading bot
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
00:00:00 - Introduction
00:02:10 - Avoiding Liquidation
00:06:35 - Analyzing Liquidations
00:09:45 - Emotions in Trading
00:14:00 - Overview of the Process
00:19:25 - Step-by-Step Guide
00:25:30 - Importance of Backtesting
00:31:50 - Starting with Research
00:38:15 - Building the Bot
00:45:20 - Implementing Risk Control
00:52:35 - Using Notion for Organization
00:59:45 - Linking Notion and Strategy
01:07:00 - Introduction to RBI Process
01:14:10 - Emphasizing Research
01:21:30 - Backtesting Strategies
01:28:45 - Coding the Strategy
01:36:00 - Python for Trading Bots
01:43:25 - Introduction to Breakout Bots
01:50:45 - Understanding Market Regimes
01:58:00 - Building for Different Regimes
02:05:25 - Creating Multiple Bots
02:12:45 - Learning from Jim Simons
02:20:10 - Applying Regimes to Strategy
02:27:30 - Identifying Trends
02:35:00 - Scanning Market Volume
02:42:20 - Top Volume Tokens
02:49:40 - Effective Breakout Strategies
02:57:00 - Multi-Time Frame Analysis
03:04:20 - Volume Weighted Breakouts
03:11:45 - Using Bollinger Bands
03:19:05 - Setting ATR Stop Loss
03:26:25 - Developing Custom Strategies
03:33:45 - Debugging and Testing
03:41:05 - Reviewing Trade Entries
03:48:30 - Implementing Changes
03:55:55 - Reviewing Market Data
04:03:15 - Managing Token Data
04:10:35 - Handling Exchange Keys
04:17:55 - Ensuring Data Security
04:25:15 - Finalizing Strategy
04:32:35 - Summary and Conclusion
04:39:55 - Final Thoughts
04:47:15 - Outro
04:54:35 - Bonus Tips
05:02:00 - Advanced Backtesting
05:09:20 - Real-time Trading Examples
05:16:40 - Common Mistakes to Avoid
05:24:00 - Optimizing Strategies
05:31:20 - Deep Dive into Algorithms
05:38:40 - Risk Management Techniques
05:46:00 - Leveraging Market Data
05:53:20 - Utilizing Python Libraries
06:00:40 - Troubleshooting and Debugging
06:08:00 - Future of Trading Bots
06:15:20 - Q&A Session
06:22:40 - Conclusion and Final Remarks
06:30:00 - Final Goodbye
06:37:20 - Practical Examples
06:44:40 - Real-World Applications
06:52:00 - Detailed Analysis
06:59:20 - Interactive Q&A
07:06:40 - Additional Insights
07:14:00 - Advanced Topics
07:21:20 - In-Depth Tutorials
07:28:40 - Expert Advice
07:36:00 - Community Contributions
07:43:20 - Behind the Scenes
07:50:40 - Case Studies
07:58:00 - Project Showcases
08:05:20 - Personal Experiences
08:12:40 - Market Predictions
08:20:00 - Strategy Adjustments
08:27:20 - Learning from Mistakes
08:34:40 - Future Plans
08:42:00 - Industry Trends
08:49:20 - Technical Innovations
08:56:40 - Final Summary
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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Business Contact: moon@algotradecamp.com