Adr, Ap, Atrp, Atrs, Vp, Vwap, Vwma

This commit is contained in:
Miha Kralj
2024-11-01 18:36:01 -07:00
parent 7c6b698c9a
commit f519594371
14 changed files with 1035 additions and 120 deletions
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using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// VF: Volume Force
/// A volume-based indicator that measures the strength of volume relative to price
/// movement. It helps identify whether volume is supporting or contradicting the
/// current price trend.
/// </summary>
/// <remarks>
/// The VF calculation process:
/// 1. Calculate price change
/// 2. Calculate volume force as volume * price change
/// 3. Optionally smooth the result with EMA
///
/// Key characteristics:
/// - Volume-weighted measure
/// - Trend strength indicator
/// - No upper/lower bounds
/// - Raw and smoothed versions
/// - Divergence indicator
///
/// Formula:
/// VF = Volume * (Close - Close[1])
/// Smoothed VF = EMA(VF, period)
///
/// Market Applications:
/// - Volume analysis
/// - Trend confirmation
/// - Price/volume divergence
/// - Market participation
/// - Momentum confirmation
///
/// Note: Higher values indicate stronger volume force
/// </remarks>
[SkipLocalsInit]
public sealed class Vf : AbstractBase
{
private readonly Ema _ema;
private double _prevClose;
private double _p_prevClose;
private const int DefaultPeriod = 13;
/// <param name="period">The smoothing period for EMA calculation (default 13).</param>
/// <exception cref="ArgumentOutOfRangeException">Thrown when period is less than 1.</exception>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Vf(int period = DefaultPeriod)
{
if (period < 1)
throw new ArgumentOutOfRangeException(nameof(period));
_ema = new(period);
WarmupPeriod = period + 1;
Name = $"VF({period})";
}
/// <param name="source">The data source object that publishes updates.</param>
/// <param name="period">The smoothing period for EMA calculation.</param>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Vf(object source, int period = DefaultPeriod) : this(period)
{
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new BarSignal(Sub));
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override void Init()
{
base.Init();
_ema.Init();
_prevClose = double.NaN;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void ManageState(bool isNew)
{
if (isNew)
{
_index++;
_p_prevClose = _prevClose;
}
else
{
_prevClose = _p_prevClose;
}
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
protected override double Calculation()
{
ManageState(BarInput.IsNew);
if (_index == 1)
{
_prevClose = BarInput.Close;
return 0;
}
// Calculate raw volume force
double priceChange = BarInput.Close - _prevClose;
double volumeForce = BarInput.Volume * priceChange;
// Update previous close
_prevClose = BarInput.Close;
// Apply EMA smoothing
return _ema.Calc(volumeForce, BarInput.IsNew);
}
}
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using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// VP: Volume Profile
/// A volume-based indicator that analyzes volume distribution across price levels.
/// It helps identify significant price levels where most trading activity occurs.
/// </summary>
/// <remarks>
/// The VP calculation process:
/// 1. Track volume at each price level within a period
/// 2. Calculate Point of Control (POC) - price with highest volume
/// 3. Calculate Value Area (70% of total volume)
///
/// Key characteristics:
/// - Price level analysis
/// - Volume distribution
/// - Support/resistance identification
/// - Trading activity concentration
/// - Market structure analysis
///
/// Formula:
/// VP = Σ Volume at each price level
/// POC = Price level with max volume
/// Value Area = Price range containing 70% of volume
///
/// Market Applications:
/// - Support/resistance levels
/// - Market structure analysis
/// - Trading activity patterns
/// - Price level significance
/// - Volume concentration
///
/// Note: Returns Point of Control (price level with highest volume)
/// </remarks>
[SkipLocalsInit]
public sealed class Vp : AbstractBase
{
private readonly CircularBuffer _volumes;
private readonly CircularBuffer _prices;
private const int DefaultPeriod = 14;
/// <param name="period">The number of periods to analyze volume distribution (default 14).</param>
/// <exception cref="ArgumentOutOfRangeException">Thrown when period is less than 1.</exception>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Vp(int period = DefaultPeriod)
{
if (period < 1)
throw new ArgumentOutOfRangeException(nameof(period));
_volumes = new(period);
_prices = new(period);
WarmupPeriod = period;
Name = $"VP({period})";
}
/// <param name="source">The data source object that publishes updates.</param>
/// <param name="period">The number of periods to analyze volume distribution.</param>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Vp(object source, int period = DefaultPeriod) : this(period)
{
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new BarSignal(Sub));
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void ManageState(bool isNew)
{
if (isNew)
_index++;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
private static int FindMaxVolumeIndex(CircularBuffer volumes)
{
int maxIndex = 0;
double maxVolume = volumes[0];
for (int i = 1; i < volumes.Count; i++)
{
if (volumes[i] > maxVolume)
{
maxVolume = volumes[i];
maxIndex = i;
}
}
return maxIndex;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
protected override double Calculation()
{
ManageState(BarInput.IsNew);
// Store volume and price
_volumes.Add(BarInput.Volume, BarInput.IsNew);
_prices.Add(BarInput.Close, BarInput.IsNew);
// Find price level with highest volume (Point of Control)
int pocIndex = FindMaxVolumeIndex(_volumes);
return _prices[pocIndex];
}
}
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using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// VWAP: Volume Weighted Average Price
/// A trading benchmark that shows the ratio of the value traded to total volume
/// traded over a specific period. VWAP equals the dollar value of all trading
/// periods divided by the total trading volume for the current day.
/// </summary>
/// <remarks>
/// The VWAP calculation process:
/// 1. Calculate typical price for each period
/// 2. Multiply typical price by volume
/// 3. Calculate cumulative values
/// 4. Divide cumulative (price * volume) by cumulative volume
///
/// Key characteristics:
/// - Intraday trading benchmark
/// - Volume-weighted measure
/// - Institutional trading reference
/// - Price momentum indicator
/// - Trading efficiency measure
///
/// Formula:
/// VWAP = Σ(Price * Volume) / ΣVolume
/// where Price = (High + Low + Close)/3
///
/// Market Applications:
/// - Best execution analysis
/// - Trading algorithms
/// - Price momentum
/// - Market impact analysis
/// - Order timing
///
/// Sources:
/// https://www.investopedia.com/terms/v/vwap.asp
///
/// Note: Commonly used by institutional traders
/// </remarks>
[SkipLocalsInit]
public sealed class Vwap : AbstractBase
{
private double _cumulativeTPV; // Cumulative (Typical Price * Volume)
private double _cumulativeVolume;
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Vwap()
{
WarmupPeriod = 1;
Name = "VWAP";
Init();
}
/// <param name="source">The data source object that publishes updates.</param>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Vwap(object source) : this()
{
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new BarSignal(Sub));
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override void Init()
{
base.Init();
_cumulativeTPV = 0;
_cumulativeVolume = 0;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void ManageState(bool isNew)
{
if (isNew)
_index++;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
protected override double Calculation()
{
ManageState(BarInput.IsNew);
// Update cumulative values only for new bars
if (BarInput.IsNew)
{
_cumulativeTPV += BarInput.HLC3 * BarInput.Volume;
_cumulativeVolume += BarInput.Volume;
}
// Calculate VWAP
return _cumulativeVolume > 0 ? _cumulativeTPV / _cumulativeVolume : BarInput.HLC3;
}
}
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using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// VWMA: Volume Weighted Moving Average
/// A technical indicator that combines price and volume to show the average price
/// weighted by volume over a period. It gives more weight to prices with higher
/// volume, making it more responsive to high-volume price movements.
/// </summary>
/// <remarks>
/// The VWMA calculation process:
/// 1. Multiply price by volume for each period
/// 2. Sum (price * volume) over the period
/// 3. Sum volume over the period
/// 4. Divide sums to get weighted average
///
/// Key characteristics:
/// - Volume-sensitive average
/// - Trend indicator
/// - Support/resistance levels
/// - Price momentum
/// - Volume emphasis
///
/// Formula:
/// VWMA = Σ(Price * Volume) / ΣVolume
/// where sums are taken over the specified period
///
/// Market Applications:
/// - Trend identification
/// - Support/resistance levels
/// - Volume analysis
/// - Price momentum
/// - Trading signals
///
/// Note: More responsive to high-volume price movements
/// </remarks>
[SkipLocalsInit]
public sealed class Vwma : AbstractBase
{
private readonly CircularBuffer _priceVolume;
private readonly CircularBuffer _volume;
private const int DefaultPeriod = 20;
/// <param name="period">The number of periods for VWMA calculation (default 20).</param>
/// <exception cref="ArgumentOutOfRangeException">Thrown when period is less than 1.</exception>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Vwma(int period = DefaultPeriod)
{
if (period < 1)
throw new ArgumentOutOfRangeException(nameof(period));
_priceVolume = new(period);
_volume = new(period);
WarmupPeriod = period;
Name = $"VWMA({period})";
}
/// <param name="source">The data source object that publishes updates.</param>
/// <param name="period">The number of periods for VWMA calculation.</param>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Vwma(object source, int period = DefaultPeriod) : this(period)
{
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new BarSignal(Sub));
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void ManageState(bool isNew)
{
if (isNew)
_index++;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
protected override double Calculation()
{
ManageState(BarInput.IsNew);
// Calculate and store price * volume
double priceVolume = BarInput.Close * BarInput.Volume;
_priceVolume.Add(priceVolume, BarInput.IsNew);
_volume.Add(BarInput.Volume, BarInput.IsNew);
// Calculate sums
double sumPriceVolume = _priceVolume.Sum();
double sumVolume = _volume.Sum();
// Calculate VWMA
return sumVolume > 0 ? sumPriceVolume / sumVolume : BarInput.Close;
}
}
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# Volume indicators
Done: 15, Todo: 3
Done: 19, Todo: 0
✔️ ADL - Chaikin Accumulation Distribution Line
✔️ ADOSC - Chaikin Accumulation Distribution Oscillator
@@ -16,7 +16,7 @@ Done: 15, Todo: 3
✔️ PVR - Price Volume Rank
✔️ PVT - Price Volume Trend
✔️ TVI - Trade Volume Index
VF - Volume Force
VP - Volume Profile
VWAP - Volume Weighted Average Price
VWMA - Volume Weighted Moving Average
✔️ VF - Volume Force
✔️ VP - Volume Profile
✔️ VWAP - Volume Weighted Average Price
✔️ VWMA - Volume Weighted Moving Average