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Comprehensive Trade Analysis: From Data Import to Performance Metrics

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This guide outlines a systematic approach to analyzing trade data using CSV files. It covers reading trades into an array, scanning for symbols and dates, updating cash values, and creating arrays for ownership and value. Additionally, it discusses building lists of symbols and date boundaries, focusing on adjusted close prices. The analysis culminates in computing essential performance metrics, including the Sharpe Ratio, Total Return, and Standard Deviation, to evaluate fund performance and identify remaining value.

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Comprehensive Trade Analysis: From Data Import to Performance Metrics

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  1. Overview • Read CSV into “trades” array • Scan trades for symbols and dates • Read in data • Scan trades to update cash • Scan trades to create ownership array & value • Scan cash and value to create total fund value

  2. Read CSV Into “trades” array, then scan it • Build list of symbols • Build date boundaries

  3. Read Data • Read in using date boundaries • Read all symbols • Focus on adjusted close

  4. Read Data

  5. Can Trades to Update Cash

  6. Scan Trades to Create Value Array

  7. Create Total Fund Value

  8. What’s Left? • Charting • Computing metrics • Sharpe Ratio • Total Return • STDDEV

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