Refactor and optimize TBar, TBarSeries, and TSeries notebooks; remove obsolete code

- Enhanced Alma class by simplifying the CalculateWeightedSum method and removing unnecessary comments. - Removed SIMD-related methods from Conv class, replacing them with optimized DotProduct calls. - Updated Sma and Wma classes to use source.ContainsNonFinite() for non-finite value checks, improving readability and performance.
2026-08-21 03:58:04 +00:00 · 2025-12-10 15:03:58 -05:00
parent b26d5d7751
commit 47884bddab
9 changed files with 371 additions and 668 deletions
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-#!meta
-
-{"kernelInfo":{"defaultKernelName":"csharp","items":[{"name":"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"}]}}
-
-#!markdown
-
-# TSeries Examples
-
-This notebook demonstrates the usage of `TSeries`, the high-performance time series container in QuanTAlib.
-
-For detailed documentation, see [TSeries.md](TSeries.md).
-
-#!csharp
-
-// Reference the library
-#r "..\..\bin\QuanTAlib.dll"
-
-using System;
-using QuanTAlib;
-
-#!markdown
-
-## Creating and Adding Data
-
-`TSeries` supports adding data via `DateTime` or `ticks`.
-
-#!csharp
-
-var series = new TSeries();
-var now = DateTime.UtcNow;
-
-// Add new values
-series.Add(now, 10.0);
-series.Add(now.AddMinutes(1), 11.0);
-series.Add(now.AddMinutes(2), 12.0);
-
-Console.WriteLine($"Count: {series.Count}");
-Console.WriteLine($"Last Value: {series.Last.Value}");
-
-#!markdown
-
-## Streaming Updates (`isNew`)
-
-In real-time scenarios, you often receive updates for the *current* bar before it closes. `TSeries` handles this via the `isNew` parameter.
-
-#!csharp
-
-var streamSeries = new TSeries();
-long t = DateTime.UtcNow.Ticks;
-
-// 1. New Bar
-streamSeries.Add(t, 100.0, isNew: true);
-Console.WriteLine($"New Bar: Count={streamSeries.Count}, Last={streamSeries.Last.Value}");
-
-// 2. Update Current Bar (Price moves to 101.0)
-streamSeries.Add(t, 101.0, isNew: false);
-Console.WriteLine($"Update:  Count={streamSeries.Count}, Last={streamSeries.Last.Value}");
-
-// 3. Update Current Bar (Price moves to 100.5)
-streamSeries.Add(t, 100.5, isNew: false);
-Console.WriteLine($"Update:  Count={streamSeries.Count}, Last={streamSeries.Last.Value}");
-
-// 4. New Bar (Next minute)
-streamSeries.Add(t + TimeSpan.TicksPerMinute, 102.0, isNew: true);
-Console.WriteLine($"New Bar: Count={streamSeries.Count}, Last={streamSeries.Last.Value}");
-
-#!markdown
-
-## Zero-Copy Access (Spans)
-
-You can access the underlying data arrays directly as `ReadOnlySpan<T>` for high-performance processing.
-
-#!csharp
-
-// Access Values as Span
-Console.WriteLine("Values in Span:");
-foreach (var v in series.Values)
-{
-    Console.Write($"{v} ");
-}
-Console.WriteLine();
-
-// Access Times as Span
-Console.WriteLine($"First Time: {new DateTime(series.Times[0])}");