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Miha Kralj
2025-12-18 13:51:06 -08:00
parent 5d03dec741
commit 35e5571237
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lib/trends/mgdi/Mgdi.md
+47 -48
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@@ -41,54 +41,6 @@ Where:
| Period | 14 | Base lookback window | Standard is 14. Adjust based on the timeframe (e.g., 10 for short-term, 20+ for long-term). |
| K | 0.6 | Sensitivity constant | 0.6 (60%) is the standard. Lower values make it more sensitive; higher values make it smoother. |
## C# Usage
### Streaming Updates (Single Instance)
```csharp
using QuanTAlib;
var mgdi = new Mgdi(period: 14, k: 0.6);
// Process each new bar
TValue result = mgdi.Update(new TValue(timestamp, closePrice));
Console.WriteLine($"MGDI: {result.Value:F2}");
// Check if buffer is full
if (mgdi.IsHot)
{
// Indicator is fully initialized
}
```
### Batch Processing (Historical Data)
```csharp
// TSeries API (object-oriented)
TSeries prices = ...;
TSeries mgdiValues = Mgdi.Batch(prices, period: 14, k: 0.6);
// High-performance Span API (zero allocation)
double[] prices = new double[10000];
double[] output = new double[10000];
Mgdi.Calculate(prices.AsSpan(), output.AsSpan(), period: 14, k: 0.6);
```
### Event-Driven Architecture
```csharp
var source = new TSeries();
var mgdi = new Mgdi(source, period: 14);
// Subscribe to MGDI output
mgdi.Pub += (value) => {
Console.WriteLine($"New MGDI value: {value.Value}");
};
// Feeding source automatically triggers the chain
source.Add(new TValue(DateTime.Now, 105.2));
```
## Performance Profile
| Operation | Complexity | Description |
@@ -138,3 +90,50 @@ This implementation makes specific trade-offs:
- [Investopedia: McGinley Dynamic Indicator](https://www.investopedia.com/terms/m/mcginley-dynamic.asp)
- [Stock Indicators for .NET: McGinley Dynamic](https://dotnet.stockindicators.dev/indicators/Dynamic/)
## C# Usage
### Streaming Updates (Single Instance)
```csharp
using QuanTAlib;
var mgdi = new Mgdi(period: 14, k: 0.6);
// Process each new bar
TValue result = mgdi.Update(new TValue(timestamp, closePrice));
Console.WriteLine($"MGDI: {result.Value:F2}");
// Check if buffer is full
if (mgdi.IsHot)
{
// Indicator is fully initialized
}
```
### Batch Processing (Historical Data)
```csharp
// TSeries API (object-oriented)
TSeries prices = ...;
TSeries mgdiValues = Mgdi.Batch(prices, period: 14, k: 0.6);
// High-performance Span API (zero allocation)
double[] prices = new double[10000];
double[] output = new double[10000];
Mgdi.Calculate(prices.AsSpan(), output.AsSpan(), period: 14, k: 0.6);
```
### Event-Driven Architecture
```csharp
var source = new TSeries();
var mgdi = new Mgdi(source, period: 14);
// Subscribe to MGDI output
mgdi.Pub += (value) => {
Console.WriteLine($"New MGDI value: {value.Value}");
};
// Feeding source automatically triggers the chain
source.Add(new TValue(DateTime.Now, 105.2));