Key insights

• ⚡️ Introducing the free AI Deep Seek R1 for creating trading strategies, evaluating its effectiveness against other AIs.
• 🚀 Learn to customize AI-generated trading strategies by modulating indicators and commands for optimal performance.
• ☕ The segment discusses coding challenges, emphasizing AI's role in fixing errors and enhancing trading performance.
• 📊 Comparison highlights Deep Seek's superior performance over Gemini in strategy formulation with minimal input.
• 💻 A live demonstration shows Deep Seek's profitable outcomes, despite some coding errors, and compares it to OpenAI's results.
• 🚀 Explore open-source AI tools for trading and engage in prompt experimentation within a supportive community.
• 💪 Persistence is essential as initial trading strategy attempts may not yield success; keep learning!
• 📈 Join the Telegram community for strategy sharing and stay updated on new insights and tools for enhanced trading.

Q&A

• What type of trading performance did Deep Seek R1 achieve?

  During the live demonstration, Deep Seek R1 created a profitable trading strategy that yielded an 80% profit with a 40% drawdown. Although it faced some coding challenges, it performed better than some free models but was outperformed by OpenAI's model, which achieved a 300% profit. 📈

• Are there risks associated with using AI for trading?

  Yes, the video emphasizes the potential risks of trading and the necessity of having a robust strategy in place before making any trades. It's important to understand the trading environment and utilize AI tools carefully, given the volatile nature of trading markets. ⚠️

• Can I join a community for support while using AI trading tools?

  Absolutely! The video encourages viewers to engage in community support, such as joining a Telegram group for assistance and strategy sharing. This community provides a platform for users to share experiences, tips, and improvements in their trading endeavors. 🚀

• Why is user involvement important in using AI for trading?

  User guidance is crucial for optimal AI performance, as it helps refine the outputs generated by the AI. The video stresses that while AI can execute complex tasks, user input plays a significant role in enhancing the results and overcoming any limitations the AI might have. 💻

• What insights can I gain from using Deep Seek R1?

  By utilizing Deep Seek R1, viewers can learn how to develop trading strategies with minimal input. The video highlights the user’s role in guiding the AI to refine outputs, and it illustrates the effective use of indicators like the Gan Channel and stochastic RSI to articulate trading strategies. 📊

• What should I do if I encounter coding issues with Deep Seek R1?

  The video emphasizes the AI's capability to troubleshoot coding issues, particularly in Pine Script. It discusses the importance of the correct order of functions and demonstrates how to fix coding errors to improve strategy performance, ensuring more stable and profitable results. ☕

• Can I customize my trading strategies using Deep Seek R1?

  Yes! The video shows how you can customize AI-generated trading strategies using prompts. You can modify indicators and commands to refine your buy and sell signals, allowing for the creation of more optimal trading outcomes. 🚀

• How does Deep Seek R1 compare to other AI models?

  The video tests Deep Seek R1 against various other AI models, including paid options and free alternatives like Gemini. The comparison covers performance in creating trading strategies across different difficulty levels: easy, medium, and hard. Viewers can see how Deep Seek R1 performs relative to its competitors. 📊

• What is the AI Deep Seek R1?

  Deep Seek R1 is a free AI tool designed for creating trading strategies. It allows users to experiment with different prompts and code to develop their own strategies, while the video evaluates its effectiveness against both free and paid AI models. ⚡️

• 00:00 Introducing the free AI Deep Seek R1 for creating trading strategies. The video evaluates its effectiveness against other AI models while providing prompts and code for users to experiment with. ⚡️
• 04:56 Learn how to customize AI-generated trading strategies using prompts, specifically modifying indicators and commands to create optimal results. 🚀
• 09:32 The segment discusses the process of coding and fixing a trading strategy using AI, highlighting initial coding errors and the effectiveness of AI in resolving them while improving performance. ☕
• 14:45 In this segment, the AI successfully tackles a challenging task to develop trading strategies using minimal information. The speaker expresses excitement about the AI's performance compared to another AI, Gemini, which underperformed. The results reveal the AI's interpretation of the Gan Channel and stochastic RSI for trading. The speaker highlights the need for user guidance to refine the AI's output. 📊
• 19:43 In a live demonstration, a trading strategy was developed using AI, showcasing variable results across different models. Despite some coding errors, the AI produced profitable outcomes, with Deep Seek outperforming a free model but trailing behind OpenAI's superior results. 💻
• 25:07 Explore open-source AI tools for trading, experiment with prompts, and join a supportive community. Don't give up on your results and utilize automation strategies for better trading outcomes! 🚀