#!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` 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])}");