COPY AND PASTE THE PROMPT BELOW:

This is just for the initial analysis of the files within. You have to be very specific as to what type of data you're sending it. Because it doesn't like to remember anything. Now just copy the full prompt data below. 



Copy everything under this line and paste into ChatGPT:

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You are given a dataset of trading sessions. Each session is organized into folders by currency pair and timeframe, with each folder containing several files logging different types of data. Perform a full top-down analysis that covers all files, metrics, indicators, and trade details in each session. Here’s the structure of the dataset and how the data is formatted. Follow this format strictly when analyzing.

 1. Dataset Structure

- Root Directory: Contains account-level information files.
- Subdirectories: Each subdirectory represents a trading session for a specific currency pair and timeframe (e.g., `15M.AUDUSD.11.11.24`).

 2. File Types and Their Formats

Each subdirectory contains the following files. Use the exact format and sample data provided for understanding each file’s structure and content.

 Account-Level Files in Root Directory

1. AccountMetricsLog.txt
   - Contains cumulative metrics across all trading sessions.
   - Example Format:
     ```
     (time: [hh:mm:ss] date: [yyyy.mm.dd] - Account Equity: [value], Account Balance: [value], Drawdown: [value])
     ```

2. BrokerInfo.txt
   - Contains broker-specific settings affecting all trades.
   - Example Format:
     ```
     (Spread Limit: [value] Points, Max Leverage: [value], Minimum Lot Size: [value])
     ```

 Session-Level Files in Each Subdirectory

1. Active_Profit_Loss.txt
   - Logs real-time profit and loss values for open trades.
   - Example Format:
     ```
     (time: [hh:mm:ss] date: [yyyy.mm.dd] - Trade ID: [ID], Symbol: [Symbol], Lot Size: [value], Cost to Trade: [value], Commission: [value], Stop Loss: [value], Take Profit: [value], Comment: [text], P/L: [value])
     ```

2. ATR_Log.txt
   - Logs the Average True Range (ATR) indicator to show market volatility.
   - Example Format:
     ```
     (time: [hh:mm:ss] date: [yyyy.mm.dd] - [Symbol], Current Price: [price]; ATR: [value];)
     ATR Time Frame: [timeframe], ATR Period: [period]
     ```

3. BollingerBands_Log.txt
   - Records Bollinger Band values with upper, middle, and lower bands.
   - Example Format:
     ```
     (time: [hh:mm:ss] date: [yyyy.mm.dd] - [Symbol], Current Price: [price]; Upper Band: [value]; Middle Band: [value]; Lower Band: [value];)
     Bollinger Bands Time Frame: [timeframe], Period: [period], Deviation: [deviation]
     ```

4. ClosedTradeLog.txt
   - Details closed trades, including direction and profit/loss.
   - Example Format:
     ```
     (time: [hh:mm:ss] date: [yyyy.mm.dd] - Symbol: [Symbol] - [BUY/SELL], Close Price: [price], Lots: [value], Commission: [value], Cost to Trade: [value], Stop Loss: [value], Take Profit: [value], Comment: [text], Loss: [value]) - Closed
     ```

5. HistoricalData.csv
   - Provides historical data in CSV format for price analysis.
   - Example Format:
     ```
     time;open;high;low;close;volume
     [datetime];[open price];[high price];[low price];[close price];[volume]
     ```

6. MACD_Log.txt
   - Tracks MACD (Moving Average Convergence Divergence) values, including main and signal lines.
   - Example Format:
     ```
     (time: [hh:mm:ss] date: [yyyy.mm.dd] - [Symbol], Current Price: [price]; MACD Main: [value]; MACD Signal: [value];)
     MACD Time Frame: [timeframe], FastEMA: [fast EMA period], SlowEMA: [slow EMA period], SignalSMA: [signal SMA period]
     ```

7. Moving Average 1.txt & Moving Average 2.txt
   - Logs values for two different moving averages, specified by timeframe, period, shift, method, and applied price.
   - Example Format:
     ```
     (time: [hh:mm:ss] date: [yyyy.mm.dd] - [Symbol], Current Price: [price]; Moving Average [1/2]: [value];)
     TF: [timeframe], Period: [period], Shift: [shift], Method: [method], Applied Price: [price type]
     ```

8. RSI_Log.txt
   - Logs the Relative Strength Index (RSI) with time frame and period.
   - Example Format:
     ```
     (time: [hh:mm:ss] date: [yyyy.mm.dd] - [Symbol], Current Price: [price]; RSI: [value];)
     RSI Time Frame: [timeframe], Period: [period]
     ```

9. SpreadLog.txt
   - Logs spread values including bid, ask, and total spread points.
   - Example Format:
     ```
     (time: [hh:mm:ss] date: [yyyy.mm.dd] - [Symbol], Ask: [price], Bid: [price], Spread: [spread], Spread Total: [points] Points)
     ```

10. TickVolumeLog.txt
    - Records tick volume data, bid, and ask prices.
    - Example Format:
      ```
      (time: [hh:mm:ss] date: [yyyy.mm.dd] - TF: [timeframe], [Symbol], Bid: [price], Ask: [price], Tick Volume: [volume])
      ```

11. TradeExecutionLog.txt
    - Logs trade execution details, including direction and entry price.
    - Example Format:
      ```
      (time: [hh:mm:ss] date: [yyyy.mm.dd] - [Symbol] - [BUY/SELL], Entry Price: [price], Lots: [value], Commission: [value], Cost to Trade: [value], Stop Loss: [value], Take Profit: [value], Comment: [text]) - Active
      ```

 Instructions for Analysis

Using the provided structure and examples, analyze all data collectively, ensuring you capture:
1. Trends in each indicator over time.
2. Profit/loss outcomes across trades.
3. Any correlation between indicator changes and trade outcomes.
4. Patterns across different trading sessions and currency pairs.
5. Account-level performance, including drawdown and equity changes.

