Rename EACP to ACP across entire codebase

- Renamed directory lib/cycles/eacp → lib/cycles/acp
- Renamed class Eacp → Acp, EacpIndicator → AcpIndicator
- Renamed all files: Eacp.cs → Acp.cs, Eacp.Quantower.cs → Acp.Quantower.cs,
  eacp.md → acp.md, eacp.pine → acp.pine, and all test files
- Updated display names: EACP → ACP in Quantower Name/ShortName properties
- Updated all documentation surfaces: _sidebar.md, lib/_index.md,
  lib/cycles/_index.md, docs/indicators.md, docs/validation.md,
  docs/pinescript.md, lib/cycles/cg/cg.md cross-reference
- Updated Python bridge: qtl_eacp → qtl_acp entry point, _bridge.py,
  cycles.py wrapper, SPEC.md, test_shapes.py, run_all_exported
- All 83 tests pass (38 AcpTests + 22 AcpValidationTests + 23 AcpIndicatorTests)
- Build: 0 warnings, 0 errors across all projects

python/SPEC.md

@@ -974,7 +974,7 @@ All channel indicators output 3 spans: upper, middle, lower (Pattern I).
 | ccyc | `Ccyc` | A | alpha |
 | cg | `Cg` | A | period |
 | dsp | `Dsp` | A | period |
-| eacp | `Eacp` | A | minPeriod, maxPeriod, avgLength, enhance |
+| acp | `Acp` | A | minPeriod, maxPeriod, avgLength, enhance |
 | ebsw | `Ebsw` | A | hpLength, ssfLength |
 | homod | `Homod` | A | minPeriod, maxPeriod |
 | ht_dcperiod | `HtDcperiod` | A | — |

python/quantalib/_bridge.py

@@ -564,7 +564,7 @@ HAS_CG = _bind("qtl_cg", [_dp, _ci, _dp, _ci])
 HAS_DSP = _bind("qtl_dsp", [_dp, _ci, _dp, _ci])
 HAS_CCOR = _bind("qtl_ccor", [_dp, _ci, _dp, _ci, _cd])
 HAS_EBSW = _bind("qtl_ebsw", [_dp, _ci, _dp, _ci, _ci])
-HAS_EACP = _bind("qtl_eacp", [_dp, _ci, _dp, _ci, _ci, _ci, _ci])
+HAS_ACP = _bind("qtl_acp", [_dp, _ci, _dp, _ci, _ci, _ci, _ci])
 
 # ── Numerics  (Exports.cs — manual) ──
 HAS_CHANGE = _bind("qtl_change", [_dp, _ci, _dp, _ci])

python/quantalib/cycles.py

@@ -20,7 +20,7 @@ __all__ = [
     "dsp",
     "ccor",
     "ebsw",
-    "eacp",
+    "acp",
 ]
 
 
@@ -142,11 +142,11 @@ def ebsw(close: object, hp_length: int = 40, ssf_length: int = 10,
     return _wrap(dst, idx, f"EBSW_{hp_length}", "cycles", offset)
 
 
-def eacp(close: object, min_period: int = 8, max_period: int = 48,
-         avg_length: int = 3, enhance: int = 1,
-         offset: int = 0, **kwargs) -> object:
+def acp(close: object, min_period: int = 8, max_period: int = 48,
+        avg_length: int = 3, enhance: int = 1,
+        offset: int = 0, **kwargs) -> object:
     """Ehlers Autocorrelation Periodogram."""
     offset = int(offset)
     src, idx = _arr(close); n = len(src); dst = _out(n)
-    _check(_lib.qtl_eacp(_ptr(src), n, _ptr(dst), int(min_period), int(max_period), int(avg_length), int(enhance)))
-    return _wrap(dst, idx, f"EACP_{min_period}_{max_period}", "cycles", offset)
+    _check(_lib.qtl_acp(_ptr(src), n, _ptr(dst), int(min_period), int(max_period), int(avg_length), int(enhance)))
+    return _wrap(dst, idx, f"ACP_{min_period}_{max_period}", "cycles", offset)

python/src/Exports.cs

@@ -1465,13 +1465,13 @@ public static unsafe partial class Exports
         catch { return StatusCodes.QTL_ERR_INTERNAL; }
     }
 
-    // Eacp: (int minPeriod, int maxPeriod, int avgLength, bool enhance → int)
-    [UnmanagedCallersOnly(EntryPoint = "qtl_eacp")]
-    public static int QtlEacp(double* src, int n, double* dst, int minPeriod, int maxPeriod, int avgLength, int enhance)
+    // Acp: (int minPeriod, int maxPeriod, int avgLength, bool enhance → int)
+    [UnmanagedCallersOnly(EntryPoint = "qtl_acp")]
+    public static int QtlAcp(double* src, int n, double* dst, int minPeriod, int maxPeriod, int avgLength, int enhance)
     {
         int v = Chk1(src, dst, n); if (v != 0) return v;
         v = ChkPeriod(minPeriod); if (v != 0) return v;
-        try { Eacp.Batch(Src(src, n), Dst(dst, n), minPeriod, maxPeriod, avgLength, enhance != 0); return StatusCodes.QTL_OK; }
+        try { Acp.Batch(Src(src, n), Dst(dst, n), minPeriod, maxPeriod, avgLength, enhance != 0); return StatusCodes.QTL_OK; }
         catch { return StatusCodes.QTL_ERR_INTERNAL; }
     }
 

python/tests/reports/pandas_ta_all_exported_report.md

@@ -73,7 +73,7 @@
 | `dwma` | ⏭️ | no comparable pandas-ta equivalent |
 | `dwt` | ⏭️ | no comparable pandas-ta equivalent |
 | `dymoi` | ⏭️ | no comparable pandas-ta equivalent |
-| `eacp` | ⏭️ | no comparable pandas-ta equivalent |
+| `acp` | ⏭️ | no comparable pandas-ta equivalent |
 | `ebsw` | ⚠️ | max_diff=1.846e+00, n=100 |
 | `edcf` | ⏭️ | no comparable pandas-ta equivalent |
 | `efi` | ✔️ | max_diff=3.411e-13, n=100 |

python/tests/run_all_exported_pandasta_validation.py

@@ -103,7 +103,7 @@ NO_PTA_EQUIVALENT: set[str] = {
     "bwma", "ccor", "ccv", "ccyc", "cfitz", "change", "cheby1", "cheby2",
     "cointegration", "conv", "coral", "correl", "covariance", "crma",
     "cv", "cvi", "cwt", "deco", "decycler", "dem", "dema_alpha", "dosc",
-    "dsma", "dsp", "dwma", "dwt", "dymi", "eacp", "edcf", "elliptic",
+    "dsma", "dsp", "dwma", "dwt", "dymi", "acp", "edcf", "elliptic",
     "ema_alpha", "etherm", "evwma", "ewma", "expdist", "exptrans",
     "fisher04", "gdema", "hanma", "hema", "kri", "lema", "lsma", "mae",
     "mape", "mse", "parzen", "pvd", "rain", "rmse", "sgma", "sinema",

python/tests/test_shapes.py

@@ -56,7 +56,7 @@ MULTI_PARAM = [
     ("baxterking", {"length": 12, "min_period": 6, "max_period": 32}),
     ("cfitz", {"length": 6, "bw_period": 32}),
     ("ebsw", {"hp_length": 40, "ssf_length": 10}),
-    ("eacp", {"min_period": 8, "max_period": 48, "avg_length": 3, "enhance": 1}),
+    ("acp", {"min_period": 8, "max_period": 48, "avg_length": 3, "enhance": 1}),
     ("betadist", {"length": 50, "alpha": 2.0, "beta": 2.0}),
     ("expdist", {"length": 50, "lam": 3.0}),
     ("binomdist", {"length": 50, "trials": 20, "threshold": 10}),