mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-29 18:17:43 +00:00
Miha Kralj
53 lines
2.0 KiB
Plaintext
53 lines
2.0 KiB
Plaintext
// Licensed under the Apache License, Version 2.0
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// © mihakralj
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//@version=6
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indicator("Archer Moving Averages Trends (AMAT)", "AMAT", overlay=false)
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//@function Calculates AMAT using multiple EMAs to identify trend direction
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//@param source Series to calculate AMAT from
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//@param fast Fast EMA period
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//@param slow Slow EMA period
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//@returns Tuple [bullish_count, bearish_count, trend_strength]
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amat(series float source, simple int fast = 10, simple int slow = 50) =>
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if fast <= 0 or slow <= 0
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runtime.error("Periods must be greater than 0")
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if fast >= slow
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runtime.error("Fast period must be less than slow period")
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float alpha_fast = 2.0 / (fast + 1)
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float alpha_slow = 2.0 / (slow + 1)
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var float ema_fast = source
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var float ema_slow = source
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var float ema_fast_prev = source
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var float ema_slow_prev = source
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ema_fast := alpha_fast * (source - ema_fast) + ema_fast
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ema_slow := alpha_slow * (source - ema_slow) + ema_slow
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float long_trend = ema_fast > ema_slow and ema_fast > ema_fast_prev and ema_slow > ema_slow_prev ? 1.0 : 0.0
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float short_trend = ema_fast < ema_slow and ema_fast < ema_fast_prev and ema_slow < ema_slow_prev ? -1.0 : 0.0
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ema_fast_prev := ema_fast
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ema_slow_prev := ema_slow
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float trend = long_trend + short_trend
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float strength = math.abs(ema_fast - ema_slow) / ema_slow * 100
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[trend, strength, ema_fast, ema_slow]
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// ---------- Main loop ----------
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// Inputs
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i_fast = input.int(10, "Fast Period", minval=1)
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i_slow = input.int(50, "Slow Period", minval=2)
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i_source = input.source(close, "Source")
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// Calculation
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[trend, strength, ema_fast, ema_slow] = amat(i_source, i_fast, i_slow)
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// Plot
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plot(trend, "AMAT Trend", color=trend > 0 ? color.green : trend < 0 ? color.red : color.gray, style=plot.style_columns, linewidth=3)
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plot(strength, "Trend Strength %", color=color.yellow, linewidth=2)
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hline(0, "Zero", color=color.gray, linestyle=hline.style_dashed)
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