Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
using QuantConnect.Data; using QuantConnect.Indicators; namespace QuantConnect.Algorithm.CSharp { public class VolumeProfileAlgorithm : QCAlgorithm { private Symbol _aapl; private VolumeProfileIndicator _vp30; public override void Initialize() { SetStartDate(2021, 1, 1); //Set Start Date SetEndDate(2021, 1, 30); SetCash(10000); //Set Strategy Cash SetBrokerageModel(new Brokerages.InteractiveBrokersBrokerageModel()); _aapl = AddEquity("AAPL", Resolution.Hour).Symbol; SetWarmup(250); var symbols = new Symbol[] { _aapl }; foreach (var symbol in symbols) { var security = Securities[symbol]; } _vp30 = new VolumeProfileIndicator(30); RegisterIndicator(_aapl, _vp30, Resolution.Daily); } public override void OnData(Slice slice) { if (!IsWarmingUp && Time.Hour == 10 && Time.Minute == 0) { var va = _vp30.ValueArea; var rv = _vp30.RelativeVolume(); var pos = _vp30.UpDownPercent(); Debug($"DATE: {Time.ToShortDateString()} POC: {_vp30:C2} VA: {va.Item1:C2} - {va.Item2:C2} RV: {rv:F2} POS:{pos:F2}"); } } } }
using System; using System.Linq; using QuantConnect.Data.Market; namespace QuantConnect.Indicators { /// <summary> /// Produces a Volume Profile and returns the Point of Control. /// </summary> public class VolumeProfileIndicator : TradeBarIndicator, IIndicatorWarmUpPeriodProvider { private int _period = 0; private RollingWindow<TradeBar> _bars; private Maximum _max; private Minimum _min; private int _numBins = 24; private decimal _binSize = 0M; private decimal[] _profile; private decimal[] _upProfile; private decimal[] _downProfile; private decimal _pointOfControl = 0M; private decimal _lowerValueAreaBound = 0M; private decimal _upperValueAreaBound = 0M; /// <summary> /// Volume Profile Indicator /// Implemented based on TradingView implementation /// https://www.tradingview.com/support/solutions/43000480324-how-is-volume-profile-calculated/ /// </summary> /// <param name="name">string - a name for the indicator</param> /// <param name="period">int - the number of periods to calculate the VP</param> public VolumeProfileIndicator(string name, int period) : base(name) { if (period < 2) throw new ArgumentException("The Volume Profile period should be greater or equal to 2", "period"); _period = period; WarmUpPeriod = period; _bars = new RollingWindow<TradeBar>(_period); _max = new Maximum(_period); _min = new Minimum(_period); } /// <summary> /// A Volume Profile Indicator /// </summary> /// <param name="period">int - the number of periods over which to calculate the VP</param> public VolumeProfileIndicator(int period) : this($"VP({period})", period) { } /// <summary> /// Resets this indicator to its initial state /// </summary> public override void Reset() { base.Reset(); } /// <summary> /// Gets a flag indicating when this indicator is ready and fully initialized /// </summary> public override bool IsReady => _bars.IsReady; /// <summary> /// Required period, in data points, for the indicator to be ready and fully initialized. /// </summary> public int WarmUpPeriod { get; } /// <summary> /// Computes the next value of this indicator from the given state /// </summary> /// <param name="input">The input given to the indicator</param> /// <returns> /// A new value for this indicator /// </returns> protected override decimal ComputeNextValue(TradeBar input) { _bars.Add(input); _max.Update(input.Time, input.Close); _min.Update(input.Time, input.Close); if (!_bars.IsReady) return 0m; // Calculate size of each histogram bin _binSize = (_max - _min) / _numBins; _profile = new decimal[_numBins]; _upProfile = new decimal[_numBins]; _downProfile = new decimal[_numBins]; int binIndex = 0; foreach (var bar in _bars) { // Determine histogram bin for this bar binIndex = GetBinIndex(bar.Close); // Add volume to the bin _profile[binIndex] += bar.Volume; // Add volume to the up or down profile if (bar.Close >= bar.Open) _upProfile[binIndex] += bar.Volume; else _downProfile[binIndex] += bar.Volume; } // Calculate Point of Control int pocIndex = 0; decimal maxVolume = 0; for (int i = 0; i < _numBins; i++) { if (_profile[i] > maxVolume) { pocIndex = i; maxVolume = _profile[i]; } } // POC will be midpoint of the bin _pointOfControl = _min + (_binSize * pocIndex) + _binSize / 2; CalculateValueArea(pocIndex); return _pointOfControl; } private void CalculateValueArea(int pocIndex) { // Calculate Value Area // https://www.oreilly.com/library/view/mind-over-markets/9781118659762/b01.html int upperIdx = pocIndex; int lowerIdx = pocIndex; decimal totalVolume = _profile.Sum(); decimal valueAreaVolume = 0m; decimal percentVolume = 0m; while (percentVolume < .7m) { var lowerVolume = 0m; var upperVolume = 0m; var nextUpperIdx = 0; var nextLowerIdx = 0; // Total the volume of the next two price bins above and below the value area. if (lowerIdx >= 2) { lowerVolume = _profile[lowerIdx - 1] + _profile[lowerIdx - 2]; nextLowerIdx = lowerIdx - 2; } else if (lowerIdx == 1) { lowerVolume = _profile[lowerIdx - 1]; nextLowerIdx = lowerIdx - 1; } if (upperIdx <= _numBins - 3) { upperVolume = _profile[upperIdx + 1] + _profile[upperIdx + 2]; nextUpperIdx = upperIdx + 2; } else if (upperIdx == _numBins - 2) { upperVolume = _profile[upperIdx + 1]; nextUpperIdx = upperIdx + 1; } // Compare volume of the next upper and lower area. Add the higher to the value area. if (upperVolume >= lowerVolume) { valueAreaVolume += upperVolume; upperIdx = nextUpperIdx; } else { valueAreaVolume += lowerVolume; lowerIdx = nextLowerIdx; } percentVolume = valueAreaVolume / totalVolume; } _lowerValueAreaBound = _min + lowerIdx * _binSize; _upperValueAreaBound = _min + (upperIdx+1) * _binSize; } /// <summary> /// Returns a tuple where the first element is the lower bound of the value area and the second is the upper bound. /// </summary> /// <returns></returns> public Tuple<decimal, decimal> ValueArea { get { return new Tuple<decimal, decimal>(_lowerValueAreaBound, _upperValueAreaBound); } } /// <summary> /// Returns the relative volume of a price area as a percentage of total volume in the profile /// </summary> /// <param name="price"></param> /// <returns></returns> public decimal RelativeVolume(decimal price) { decimal totalVolume = _profile.Sum(); int binIndex = GetBinIndex(price); return _profile[binIndex] / totalVolume; } /// <summary> /// Returns the relative volume of current price area as a percentage of total volume in the profile /// </summary> /// <param name="price"></param> /// <returns></returns> public decimal RelativeVolume() { return RelativeVolume(_bars[0].Close); } /// <summary> /// Returns the ratio of Up vs Down candles in the given price area. Over .5 means more Up candles. /// </summary> /// <param name="price"></param> /// <returns></returns> public decimal UpDownPercent(decimal price) { int binIndex = GetBinIndex(price); return _upProfile[binIndex] / _profile[binIndex]; } /// <summary> /// Returns the ratio of Up vs Down candles in the current price area. Over .5 means more Up candles. /// </summary> /// <param name="price"></param> /// <returns></returns> public decimal UpDownPercent() { return UpDownPercent(_bars[0].Close); } /// <summary> /// Get the histogram bin index for a given price area. /// </summary> /// <param name="price"></param> /// <returns></returns> private int GetBinIndex(decimal price) { int binIndex = (int)Math.Truncate((price - _min) / _binSize); // In the case where the price is the maximum, the formula will push the index out of bounds. We return the max bin index in that case. if (binIndex == _numBins) return binIndex - 1; return binIndex; } } }