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已更新 Global Indices Weekly Investment Strategy

This strategy aims to provide the optimal times to buy/sell assets on a long term basis. From my testing it works best on a weekly or monthly time frame. The default values are currently set to work best on Global Indices such as the S&P 500. It is very simple in its core, it uses price historical price action to estimate where in a market cycle the asset is. Then combined with a basic Moving-Average-like baseline and long term trend oscillator to gauge direction, it attempts to find the best time to buy/sell an asset to reduce capital draw-down and maximise future profits.
Returns here are based on an account balance and trade sizes of £100,000 with no compounding. Does not take into account exchange fees - 0% commission.
Please let me know if you have found any optimal settings for a given market using this strategy; such as all commodities. Or if you have any suggestions on how the strategy could be improved in general.
Returns here are based on an account balance and trade sizes of £100,000 with no compounding. Does not take into account exchange fees - 0% commission.
Please let me know if you have found any optimal settings for a given market using this strategy; such as all commodities. Or if you have any suggestions on how the strategy could be improved in general.
版本注释
Updated to allow both Long & Short trades.版本注释
Updated to show indicator plotting.版本注释
Updated to improve Trend Indicator版本注释
Updated to allow 'Price Source' and 'MA Type' changes.版本注释
Updated to improve Short trades performance. Streamlined code.版本注释
Updated to add optional Short Term Trend Indicator.版本注释
Updated to improve default settings.版本注释
Updated to improve plotting and colours.版本注释
Updated to add percent Trailing Stop.受保护脚本
此脚本以闭源形式发布。 但是,您可以自由使用它,没有任何限制 — 在此处了解更多信息。
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受保护脚本
此脚本以闭源形式发布。 但是,您可以自由使用它,没有任何限制 — 在此处了解更多信息。
BlockchainSpecialists.co.uk - The UK's leading network of qualified
Blockchain experts
Blockchain experts
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。