using System.Runtime.CompilerServices; namespace QuanTAlib; /// /// KVO: Klinger Volume Oscillator /// A volume-based technical indicator that compares volume to price movement to identify /// long-term trends and potential reversals. It helps determine the long-term money flow /// while remaining sensitive to short-term fluctuations. /// /// /// The KVO calculation process: /// 1. Calculate Trend: /// Trend = Current DM > Previous DM ? +1 : -1 /// 2. Calculate Volume Force (VF): /// VF = Volume * abs(ROC) * Trend * 100 /// 3. Calculate two EMAs of VF and their difference: /// Signal = EMA(VF, shortPeriod) - EMA(VF, longPeriod) /// /// Key characteristics: /// - Volume-weighted measure /// - Oscillates around zero /// - Uses two different time periods /// - Default periods are 34 and 55 days /// - Shows volume force and price direction /// /// Formula: /// DM = (H + L + C) / 3 /// Trend = DM > Previous DM ? +1 : -1 /// VF = Volume * abs(ROC) * Trend * 100 /// KVO = EMA(VF, shortPeriod) - EMA(VF, longPeriod) /// /// Market Applications: /// - Trend confirmation /// - Divergence analysis /// - Volume/price relationship /// - Support/resistance levels /// - Market reversals /// /// Sources: /// Stephen Klinger - Original development /// https://www.investopedia.com/terms/k/klingeroscillator.asp /// /// Note: Positive values indicate buying pressure, while negative values indicate selling pressure /// [SkipLocalsInit] public sealed class Kvo : AbstractBase { private readonly int _longPeriod; private double _prevDm; private double _shortEma; private double _longEma; private readonly double _shortAlpha; private readonly double _longAlpha; [MethodImpl(MethodImplOptions.AggressiveInlining)] public Kvo(int shortPeriod = 34, int longPeriod = 55) { _longPeriod = longPeriod; WarmupPeriod = longPeriod + 1; // Need one extra period for previous DM Name = $"KVO({shortPeriod},{_longPeriod})"; _shortAlpha = 2.0 / (shortPeriod + 1); _longAlpha = 2.0 / (longPeriod + 1); Init(); } /// The data source object that publishes updates. [MethodImpl(MethodImplOptions.AggressiveInlining)] public Kvo(object source, int shortPeriod = 34, int longPeriod = 55) : this(shortPeriod, longPeriod) { var pubEvent = source.GetType().GetEvent("Pub"); pubEvent?.AddEventHandler(source, new BarSignal(Sub)); } [MethodImpl(MethodImplOptions.AggressiveInlining)] public override void Init() { base.Init(); _prevDm = 0; _shortEma = 0; _longEma = 0; } [MethodImpl(MethodImplOptions.AggressiveInlining)] protected override void ManageState(bool isNew) { if (isNew) { _lastValidValue = Value; _index++; } } [MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)] protected override double Calculation() { ManageState(BarInput.IsNew); // Calculate Daily Mean double dm = (BarInput.High + BarInput.Low + BarInput.Close) / 3; // Skip first period to establish previous DM if (_index == 1) { _prevDm = dm; return 0; } // Calculate Trend int trend = dm > _prevDm ? 1 : -1; // Calculate Rate of Change double roc = Math.Abs(dm - _prevDm) / _prevDm; // Calculate Volume Force double vf = BarInput.Volume * roc * trend * 100; // Calculate EMAs if (_index <= _longPeriod) { // Initialize EMAs _shortEma = vf; _longEma = vf; } else { // Update EMAs _shortEma = (_shortAlpha * vf) + ((1 - _shortAlpha) * _shortEma); _longEma = (_longAlpha * vf) + ((1 - _longAlpha) * _longEma); } // Store current DM for next calculation _prevDm = dm; // Calculate KVO double kvo = _shortEma - _longEma; IsHot = _index >= WarmupPeriod; return kvo; } }