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Miha Kralj
2026-01-31 14:05:53 -08:00
parent 51e885a4a6
commit 5ed4b6c0fc
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lib/dynamics/amat/Amat.cs
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@@ -8,25 +8,12 @@ namespace QuanTAlib;
/// AMAT: Archer Moving Averages Trends
/// </summary>
/// <remarks>
/// AMAT is a trend identification system that uses multiple EMAs to identify
/// trend direction and strength. Unlike simple crossovers, AMAT requires alignment
/// of both fast and slow moving averages in the same direction.
/// Trend system requiring fast/slow EMA alignment in same direction for signals.
/// Returns +1 (bullish), -1 (bearish), or 0 (neutral) with strength percentage.
///
/// Calculation:
/// 1. Calculate Fast and Slow EMAs
/// 2. Bullish (+1): Fast EMA > Slow EMA AND Fast EMA rising AND Slow EMA rising
/// 3. Bearish (-1): Fast EMA &lt; Slow EMA AND Fast EMA falling AND Slow EMA falling
/// 4. Neutral (0): Mixed conditions
/// 5. Strength = |Fast EMA - Slow EMA| / Slow EMA * 100
///
/// Key features:
/// - Direction alignment reduces false signals
/// - Trend strength measurement for conviction assessment
/// - Clear +1/-1/0 trend signals
///
/// Sources:
/// Tom Joseph (2009), based on Mark Whistler (Archer) concepts
/// Signal: <c>+1</c> when FastEMA > SlowEMA and both rising; <c>-1</c> when FastEMA &lt; SlowEMA and both falling.
/// </remarks>
/// <seealso href="Amat.md">Detailed documentation</seealso>
[SkipLocalsInit]
public sealed class Amat : ITValuePublisher, IDisposable
{