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86fe32a682
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>
47 lines
1.7 KiB
Plaintext
47 lines
1.7 KiB
Plaintext
// The MIT License (MIT)
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// © mihakralj
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//@version=6
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indicator("Inertia", "INERTIA", overlay=false)
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//@function Calculates Inertia oscillator measuring trend strength based on distance from linear regression
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//@doc https://github.com/mihakralj/pinescript/blob/main/indicators/oscillators/inertia.md
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//@param source Source series to calculate Inertia for
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//@param length Period for linear regression calculation
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//@returns Inertia value measuring trend strength
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inertia(series float source, simple int length) =>
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if length <= 0
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runtime.error("Length must be positive")
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if na(source)
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na
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else
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available_bars = bar_index + 1
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effective_length = math.min(length, available_bars)
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sum_x = 0.0, sum_y = 0.0, sum_xy = 0.0, sum_x2 = 0.0
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for i = 0 to effective_length - 1
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x = effective_length - 1 - i
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y = nz(source[i])
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sum_x += x, sum_y += y
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sum_xy += x * y, sum_x2 += x * x
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n = effective_length
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denominator = n * sum_x2 - sum_x * sum_x
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if denominator == 0
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0.0
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else
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slope = (n * sum_xy - sum_x * sum_y) / denominator
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intercept = (sum_y - slope * sum_x) / n
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regression_value = slope * (effective_length - 1) + intercept
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source - regression_value
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// ---------- Main loop ----------
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// Inputs
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i_length = input.int(20, "Length", minval=1, maxval=500, tooltip="Period for linear regression calculation")
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i_source = input.source(close, "Source", tooltip="Price series to analyze")
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// Calculation
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inertia_value = inertia(i_source, i_length)
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// Plots
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plot(inertia_value, "Inertia", color=color.yellow, linewidth=2)
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