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Backtest Trading Strategies Using CHATGPT & AI
Looking to improve your trading strategy? Have you considered using ChatGPT? This artificial intelligence tool has been making waves in the productivity and programming worlds, but it can also be a useful tool for traders.
In this video, we'll explore how to implement ChatGPT into your trading process, from analyzing market data to generating trading ideas and backtesting trading strategies. We'll also dive into the nuances of using AI-generated strategies and how to effectively backtest them.
Join us as we explore the potential of ChatGPT in trading and discover new ways to optimize your trading strategy. Whether you're a seasoned trader or just starting out, this video is packed with valuable insights and practical tips to help you take your trading to the next level.
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©Quantified Strategies - For all business inquiries contact sialofjord@gmail.com
✅ This video is not to be reproduced without prior authorization. The original YouTube video may be distributed & embedded if required. For our private coaching, book a call at support@quantifiedstrategies.com
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✅ RISK DISCLAIMER
Quantified Strategies (SIA Lofjord) is not an investment advisor. The content and information provided are educational and should not be treated as financial advisory services or investment advice. Trading and investment in securities involve substantial risk of loss and is not recommended for anyone who is not a trained trader or investor – it shall be conducted at your own risk. It is recommended that you never risk more than you are willing to lose. Leverage can lead to substantial losses. Any use of leverage, margin, or shorting is at your discretion. Quantified Strategies (SIA Lofjord) is not responsible for any losses that occur as a result of its content and information.
Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, Since the trades have not been executed, the results may have under or overcompensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs, in general, are also subject to the fact that they are designed with the benefit of hindsight. No representations are made that any account will or is likely to achieve profit or losses similar to those shown.
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