Hellow guys, Welcome to my website, and you are watching how to actually build a trading bot. and this vIdeo is uploaded by Moon Dev at 2024-06-01T10:15:06-07:00. We are pramote this video only for entertainment and educational perpose only. So, I hop you like our website.
| Name | how to actually build a trading bot |
| Video Uploader | Video From Moon Dev |
| Upload Date | This Video Uploaded At 01-06-2024 17:15:06 |
| Video Discription | 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 Automate your trading: https://algotradecamp.com Business Contact: moon@algotradecamp.com |
| Category | Howto & Style |
| Tags | algorithmic trading | algo | trading | quant | data science | how to | code | python | trading algo | trade algo | hedge fund | ccxt | backtrader | back testing | pandas | numpy | how to trade | how to algo trade | course | bitcoin | crypto | nft |
