CCI Trading Strategy (Backtest & Trading Rules)

7 months ago
5

✅→ The 2 free backtested strategies are available here: https://www.quantifiedstrategies.com/guide

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Explore the CCI trading strategy in our latest video!

Uncover the Commodity Channel Indicator's (CCI) power in spotting trend reversals and creating effective trading plans. Understand CCI basics, skip the complex calculations, and join us for a straightforward backtest with clear rules.

Optimized for the S&P 500 with a 9-day lookback, our strategy is a game-changer. Buy when CCI drops below -90, sell when the close beats yesterday's high. Result? From $100,000 in 1993 to over a million today, with a modest 23% max drawdown.

Solid stats with 464 trades, and more strategies on our channel or website. Subscribe for updates and drop your questions in the comments!

Stay tuned for our next video on 7 algo trading strategies - valuable insights for your trading journey! Please write in the English language.

#tradingstrategies #tradingstrategy #quantifiedstrategies #tradingstrategy

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✅ 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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