Add TBar, TBarSeries, TSeries, TValue, and IFeed implementations with comprehensive documentation and examples

- Introduced TBar struct for efficient OHLCV data representation.
- Implemented TBarSeries class for high-performance collection of TBar instances using Structure of Arrays (SoA) layout.
- Added TSeries class for time-series data management with zero-copy access.
- Created TValue struct for time-value pairs with implicit conversions.
- Defined IFeed interface for consistent data feed implementations.
- Developed CsvFeed class for loading historical OHLCV data from CSV files.
- Implemented GBM class for generating synthetic financial data using Geometric Brownian Motion.
- Added Quantower project files for Averages indicator with necessary dependencies and configurations.
- Included extensive usage examples and notebooks for TBar, TBarSeries, TSeries, TValue, and feed implementations.

lib/feeds/csv/CsvFeed.Notebook.dib

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+#!meta
+
+{"kernelInfo":{"defaultKernelName":"csharp","items":[{"name":"csharp","languageName":"csharp"},{"name":"fsharp","languageName":"F#","aliases":["f#","fs"]},{"name":"html","languageName":"HTML"},{"name":"http","languageName":"HTTP"},{"name":"javascript","languageName":"JavaScript","aliases":["js"]},{"name":"mermaid","languageName":"Mermaid"},{"name":"pwsh","languageName":"PowerShell","aliases":["powershell"]},{"name":"value"}]}}
+
+#!csharp
+
+// Reference the library
+#r "..\..\bin\QuanTAlib.dll"
+
+using QuanTAlib;
+using System.IO;
+
+// 1. Setup: Use existing CSV file
+// CsvFeed expects a CSV with header: timestamp,open,high,low,close,volume
+// Timestamp format: YYYY-MM-DD
+
+string csvPath = "daily_IBM.csv";
+Console.WriteLine($"Using CSV file: {csvPath}");
+
+#!csharp
+
+// 2. Initialize CsvFeed
+// The feed loads the data and prepares it for streaming
+
+var feed = new CsvFeed(csvPath);
+Console.WriteLine("CsvFeed initialized.");
+
+#!csharp
+
+// 3. Streaming Data
+// Simulate processing historical data bar by bar
+
+Console.WriteLine("\nStreaming data (first 5 bars):");
+int count = 0;
+bool isNew = true;
+
+// Get first bar
+var bar = feed.Next(isNew: true);
+
+while (isNew && count < 5)
+{
+    count++;
+    Console.WriteLine($"  Bar {count}: {bar}");
+    
+    // Get next bar
+    bar = feed.Next(ref isNew);
+}
+
+Console.WriteLine($"Streamed {count} bars.");
+
+#!csharp
+
+// 4. Batch Fetching
+// Retrieve a specific range of data
+
+Console.WriteLine("\nBatch fetching:");
+// Using a date range present in daily_IBM.csv (July 2025)
+long startTime = new DateTime(2025, 7, 8).Ticks;
+var interval = TimeSpan.FromDays(1);
+
+// Fetch 3 bars starting from July 8th, 2025
+var batch = feed.Fetch(5, startTime, interval);
+
+Console.WriteLine($"Fetched {batch.Count} bars:");
+foreach (var b in batch)
+{
+    Console.WriteLine($"  {b}");
+}