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Cost Basis of DCA Strategy (Enhanced)

“Cost Basis of DCA Strategy (Enhanced): An Analytical Tool for Smarter DCA Investing”
The indicator designed here serves as a comprehensive analytical tool for evaluating a Dollar-Cost Averaging (DCA) strategy. Instead of merely recording scattered buy transactions, it integrates all purchases into a clear framework that reveals the real cost basis, portfolio performance, and capital allocation. Its primary function is to transform the concept of DCA from a mechanical process into a measurable and strategic decision-making system.
At the foundation of its operation, the user provides essential inputs such as the initial capital, the price and size of each buy transaction, and an optional sell price for hypothetical exit scenarios. With these inputs, the indicator calculates how many units were acquired in total, how much money was spent, and what the average cost per unit—the cost basis—truly is. This cost basis acts as the anchor for evaluating whether the market price has moved in favor or against the investor’s average entry point.
Beyond this, the indicator goes further by calculating both realized and unrealized dimensions of performance. It presents the current market value of holdings based on live price data and contrasts it with the total cost to derive unrealized profit or loss in both absolute terms and percentages. If the user sets a sell price, the tool simulates a full liquidation scenario, displaying the expected profit or loss should all holdings be sold at that level. This dual perspective enables the user to examine their strategy both from a present-value standpoint and a forward-looking one.
In addition, the indicator keeps track of remaining capital—the portion of initial funds not yet deployed into purchases—thus bridging the gap between portfolio construction and financial planning. It also reports the number of buy transactions, reinforcing awareness of execution discipline in DCA.
For visualization, the system is not confined to numbers alone. It marks each buy price directly on the price chart with distinct horizontal lines, labeled for clarity. This allows the trader to see not just statistics in a table but also the spatial relationship between historical entry points and ongoing market dynamics.
In essence, this indicator reframes the practice of DCA into a structured analytical exercise. It empowers investors to understand the true average entry cost, evaluate ongoing performance, and simulate future outcomes under different price scenarios. By doing so, it elevates DCA from a passive habit into an active, data-driven investment methodology, allowing users to make more informed, confident, and strategically grounded decisions.
The indicator designed here serves as a comprehensive analytical tool for evaluating a Dollar-Cost Averaging (DCA) strategy. Instead of merely recording scattered buy transactions, it integrates all purchases into a clear framework that reveals the real cost basis, portfolio performance, and capital allocation. Its primary function is to transform the concept of DCA from a mechanical process into a measurable and strategic decision-making system.
At the foundation of its operation, the user provides essential inputs such as the initial capital, the price and size of each buy transaction, and an optional sell price for hypothetical exit scenarios. With these inputs, the indicator calculates how many units were acquired in total, how much money was spent, and what the average cost per unit—the cost basis—truly is. This cost basis acts as the anchor for evaluating whether the market price has moved in favor or against the investor’s average entry point.
Beyond this, the indicator goes further by calculating both realized and unrealized dimensions of performance. It presents the current market value of holdings based on live price data and contrasts it with the total cost to derive unrealized profit or loss in both absolute terms and percentages. If the user sets a sell price, the tool simulates a full liquidation scenario, displaying the expected profit or loss should all holdings be sold at that level. This dual perspective enables the user to examine their strategy both from a present-value standpoint and a forward-looking one.
In addition, the indicator keeps track of remaining capital—the portion of initial funds not yet deployed into purchases—thus bridging the gap between portfolio construction and financial planning. It also reports the number of buy transactions, reinforcing awareness of execution discipline in DCA.
For visualization, the system is not confined to numbers alone. It marks each buy price directly on the price chart with distinct horizontal lines, labeled for clarity. This allows the trader to see not just statistics in a table but also the spatial relationship between historical entry points and ongoing market dynamics.
In essence, this indicator reframes the practice of DCA into a structured analytical exercise. It empowers investors to understand the true average entry cost, evaluate ongoing performance, and simulate future outcomes under different price scenarios. By doing so, it elevates DCA from a passive habit into an active, data-driven investment methodology, allowing users to make more informed, confident, and strategically grounded decisions.
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受保護腳本
此腳本以閉源形式發佈。 不過,您可以自由且不受任何限制地使用它 — 在此處了解更多資訊。
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。