SIMD Refactor: Merge simd-dev into dev (#55)

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat> Co-authored-by: Warp <agent@warp.dev>
2026-08-25 22:08:05 +00:00 · 2026-01-18 19:02:03 -08:00
parent 5bcdf8d614
commit 86fe32a682
1750 changed files with 198235 additions and 80539 deletions
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+// The MIT License (MIT)
+// © mihakralj
+//@version=6
+indicator("Slope, Linear Regression (SLOPE)", "SLOPE", overlay=false, precision=8)
+
+//@function Calculates slope (linear regression)
+//@doc https://github.com/mihakralj/pinescript/blob/main/indicators/numerics/slope.md
+//@param src Source series to calculate slope from
+//@param len Lookback period for calculation
+//@returns Slope value properly calculated
+slope(series float src, simple int len) =>
+    if len <= 1
+        runtime.error("Length must be greater than 1")
+    var float sumX = 0.0
+    var float sumY = 0.0
+    var float sumXY = 0.0
+    var float sumX2 = 0.0
+    var int   validCount = 0
+    var array<float> x_values = array.new_float(len)
+    var array<float> y_values = array.new_float(len)
+    var int   head = 0
+    var int internal_time_counter = 0
+    if internal_time_counter >= len
+        float oldX = array.get(x_values, head)
+        float oldY = array.get(y_values, head)
+        if not na(oldY)
+            sumX := sumX - oldX
+            sumY := sumY - oldY
+            sumXY := sumXY - oldX * oldY
+            sumX2 := sumX2 - oldX * oldX
+            validCount := validCount - 1
+    float currentX = internal_time_counter
+    float currentY = src
+    array.set(x_values, head, currentX)
+    array.set(y_values, head, currentY)
+    if not na(currentY)
+        sumX := sumX + currentX
+        sumY := sumY + currentY
+        sumXY := sumXY + currentX * currentY
+        sumX2 := sumX2 + currentX * currentX
+        validCount := validCount + 1
+    head := (head + 1) % len
+    internal_time_counter := internal_time_counter + 1
+    float calculatedSlope = na
+    if validCount >= 2
+        float n = validCount
+        float divisor = n * sumX2 - sumX * sumX
+        if divisor != 0.0
+            calculatedSlope := (n * sumXY - sumX * sumY) / divisor
+    calculatedSlope
+
+// ---------- Main loop ----------
+
+// Inputs
+i_period = input.int(14, "Period", minval=2)
+i_source = input.source(close, "Source")
+
+// Calculation
+s = slope(i_source, i_period)
+
+// Plot
+plot(s, "Slope", color=color.yellow, linewidth=2)