π₯ *10% Off Trading Fees!* Register with my Bitget link: https://bonus.bitget.com/Robottraders
π‘ *What You’ll Learn in This Video* : I put DeepSeek AI to the test to see if it can help me build a crypto trading bot in Python quickly and easily. I feed it real code and challenge it to generate key trading functions using the CCXT library. We go step by step, integrating the AIβs responses into my bot and finally placing real orders on a crypto exchange. Along the way, I share insights into DeepSeekβs strengths, its ability to understand and improve existing code, and whether it can truly make coding a trading bot effortless.
π *The jupyter notebook code* in case you are interested: https://github.com/RobotTraders/bits_and_bobs/blob/main/test_bot_deepseek.ipynb
π€ *Crypto Volatility Harnesser Python Trading Bot* : https://robottraders.io/blog/envelope-trading-bot
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π My Comprehensive *Python For Finance Free Course* : https://robottraders.io/courses/phyton-for-finance
π *Hire Me for Expert Consultation or Coding Projects* : https://robottraders.io/hire-me
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*More Robot Traders*
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*Timestamps*
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00: 00 Challenge
01: 42 Generating & Testing the Code
07: 30 The Bot & Trades
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*Disclaimer*
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This video is for educational and entertainment purposes only. It is not financial advice nor an endorsement of any provider, product, or service. The user bears sole responsibility for any actions taken based on this information, and Robot Traders and its affiliates will not be held liable for any losses or damages resulting from its use. Trading and investing both involve the risk of capital loss. Some links above include affiliate commissions or referrals. We are part of an affiliate network, and we receive compensation from partnering websites.