validation and profiles

lib/reversals/pivotdem/Pivotdem.Validation.Tests.cs

@@ -1,3 +1,6 @@
+
+using OoplesFinance.StockIndicators;
+using OoplesFinance.StockIndicators.Models;
 // PIVOTDEM Validation Tests - DeMark Pivot Points
 // Self-consistency validation across all API modes.
 //
@@ -238,4 +241,24 @@ public sealed class PivotdemValidationTests
             }
         }
     }
-}
+
+    [Fact(Skip = "Ooples pivot indicators group by calendar day — 500×1-min bars yields ~3 daily pivots. Requires daily OHLCV input; not comparable with intraday GBM data.")]
+    public void Pivotdem_MatchesOoples_Structural()
+    {
+        var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.15, seed: 42);
+        var bars = gbm.Fetch(500, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
+        var ooplesData = bars.Select(b => new TickerData
+        {
+            Date = new DateTime(b.Time, DateTimeKind.Utc),
+            Open = b.Open,
+            High = b.High,
+            Low = b.Low,
+            Close = b.Close,
+            Volume = b.Volume
+        }).ToList();
+        var result = new StockData(ooplesData).CalculateDemarkPivotPoints();
+        var values = result.OutputValues.Values.First();
+        int finiteCount = values.Count(v => double.IsFinite(v));
+        Assert.True(finiteCount > 100, $"Expected >100 finite values, got {finiteCount}");
+    }
+}

lib/reversals/pivotdem/Pivotdem.md

@@ -96,6 +96,21 @@ This means R1 and S1 are always equidistant from PP, separated by one-quarter of
 
 ## Performance Profile
 
+### Operation Count (Streaming Mode)
+
+DeMark Pivot uses a conditional pivot formula based on whether Open == Close vs C vs O > C — O(1).
+
+| Operation | Count | Cost (cycles) | Subtotal |
+| :--- | :---: | :---: | :---: |
+| Store prev OHLC | 4 | 1 cy | ~4 cy |
+| Conditional X formula (3-way branch) | 1 | 4 cy | ~4 cy |
+| PP = X / 4 | 1 | 2 cy | ~2 cy |
+| R1 = X/2 - L, S1 = X/2 - H | 2 | 2 cy | ~4 cy |
+| NaN guard + state update | 1 | 2 cy | ~2 cy |
+| **Total** | **O(1)** | — | **~16 cy** |
+
+O(1) arithmetic with one 3-way conditional on price relationship. Branch predictor will learn the dominant market regime quickly.
+
 ### Implementation Design
 
 Pure arithmetic with no loops, no buffers, no auxiliary data structures. Each `Update` call performs one conditional branch, 3 multiplications, 3 additions/subtractions, and 4 comparisons for NaN validation.