mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-16 01:28:05 +00:00
293 lines
8.3 KiB
C#
293 lines
8.3 KiB
C#
using Xunit;
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using System;
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using QuanTAlib;
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using Python.Runtime;
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using Python.Included;
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namespace Validations;
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public class PandasTA : IDisposable
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{
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private readonly GBM_Feed bars;
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private readonly Random rnd = new();
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private readonly int period;
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private readonly string OStype;
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private readonly dynamic np;
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private readonly dynamic ta;
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private readonly dynamic df;
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public PandasTA()
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{
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bars = new(5000);
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period = rnd.Next(28) + 3;
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// Checking the host OS and setting PythonDLL accordingly
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OStype = Environment.OSVersion.ToString();
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if (OStype == "Unix 13.1.0")
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{
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OStype = @"/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/libpython3.10.dylib";
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}
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else
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{
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OStype = Path.GetFullPath(".") + @"\python-3.10.0-embed-amd64\python310.dll";
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}
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Installer.InstallPath = Path.GetFullPath(".");
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Installer.SetupPython().Wait();
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Installer.TryInstallPip();
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Installer.PipInstallModule("pandas-ta");
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//alternative: git+https://github.com/twopirllc/pandas-ta
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Runtime.PythonDLL = OStype;
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PythonEngine.Initialize();
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np = Py.Import("numpy");
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ta = Py.Import("pandas_ta");
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string[] cols = { "open", "high", "low", "close", "volume" };
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double[,] ary = new double[bars.Count, 5];
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for (int i = 0; i < bars.Count; i++)
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{
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ary[i, 0] = bars.Open[i].v;
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ary[i, 1] = bars.High[i].v;
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ary[i, 2] = bars.Low[i].v;
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ary[i, 3] = bars.Close[i].v;
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ary[i, 4] = bars.Volume[i].v;
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}
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df = ta.DataFrame(data: np.array(ary), index: np.array(bars.Close.t), columns: np.array(cols));
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}
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public void Dispose()
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{
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PythonEngine.Shutdown();
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GC.SuppressFinalize(this);
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}
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[Fact]
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void HL2()
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{
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var pta = df.ta.hl2(high: df.high, low: df.low);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(bars.HL2.Last().v, 4));
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}
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[Fact]
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void HLC3()
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{
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var pta = df.ta.hlc3(high: df.high, low: df.low, close: df.close);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(bars.HLC3.Last().v, 4));
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}
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[Fact]
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void OHLC4()
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{
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var pta = df.ta.ohlc4(open: df.open, high: df.high, low: df.low, close: df.close);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(bars.OHLC4.Last().v, 4));
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}
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[Fact]
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void MEDIAN()
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{
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MEDIAN_Series QL = new(bars.Close, period);
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var pta = df.ta.median(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void VARIANCE()
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{
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VAR_Series QL = new(bars.Close, period);
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var pta = df.ta.variance(close: df.close, length: period, ddof:0);
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Assert.Equal(Math.Round((double)pta.tail(1), 5), Math.Round(QL.Last().v, 5));
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}
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[Fact]
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void SVARIANCE()
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{
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SVAR_Series QL = new(bars.Close, period);
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var pta = df.ta.variance(close: df.close, length: period, ddof: 1);
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Assert.Equal(Math.Round((double)pta.tail(1), 5), Math.Round(QL.Last().v, 5));
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}
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[Fact]
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void ADL()
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{
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ADL_Series QL = new(bars);
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var pta = df.ta.ad(high: df.high, low: df.low, close:df.close, volume:df.volume);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void ADOSC()
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{
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ADOSC_Series QL = new(bars);
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var pta = df.ta.adosc(high: df.high, low: df.low, close: df.close, volume: df.volume);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void TR()
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{
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TR_Series QL = new(bars);
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var pta = df.ta.true_range(high: df.high, low: df.low, close: df.close);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void OBV()
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{
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OBV_Series QL = new(bars);
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var pta = df.ta.obv(close: df.close, volume: df.volume);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void ATR()
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{
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ATR_Series QL = new(bars, period);
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var pta = df.ta.atr(high: df.high, low: df.low, close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void RSI()
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{
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RSI_Series QL = new(bars.Close, period);
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var pta = df.ta.rsi(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void TRIMA()
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{
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// TODO: return length to variable length (period) when Pandas-TA fixes trima
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TRIMA_Series QL = new(bars.Close, 11);
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var pta = df.ta.trima(close: df.close, length: 11);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void KAMA()
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{
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KAMA_Series QL = new(bars.Close, period);
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var pta = df.ta.kama(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void HMA()
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{
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HMA_Series QL = new(bars.Close, period, false);
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var pta = df.ta.hma(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void SMA()
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{
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SMA_Series QL = new(bars.Close, period, false);
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var pta = df.ta.sma(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void EMA()
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{
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EMA_Series QL = new(bars.Close, period, false);
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var pta = df.ta.ema(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void TEMA()
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{
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TEMA_Series QL = new(bars.Close, period, false);
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var pta = df.ta.tema(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 7), Math.Round(QL.Last().v, 7));
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}
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[Fact]
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void SDEV()
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{
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SDEV_Series QL = new(bars.Close, period, useNaN: false);
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var pta = df.ta.stdev(close: df.close, length: period, ddof: 0);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void SSDEV()
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{
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SSDEV_Series QL = new(bars.Close, period, useNaN: false);
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var pta = df.ta.stdev(close: df.close, length: period, ddof: 1);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void ZSCORE()
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{
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ZSCORE_Series QL = new(bars.Close, period, useNaN: false);
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var pta = df.ta.zscore(close: df.close, length: period, ddof: 0);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void ENTROPY()
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{
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ENTROPY_Series QL = new(bars.Close, period, useNaN: false);
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var pta = df.ta.entropy(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void WMA()
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{
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WMA_Series QL = new(bars.Close, period, false);
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var pta = df.ta.wma(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void RMA()
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{
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RMA_Series QL = new(bars.Close, period, false);
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var pta = df.ta.rma(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void ZLEMA()
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{
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ZLEMA_Series QL = new(bars.Close, period, false);
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var pta = df.ta.zlma(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void DEMA()
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{
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DEMA_Series QL = new(bars.Close, period, false);
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var pta = df.ta.dema(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void BIAS()
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{
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BIAS_Series QL = new(bars.Close, period, false);
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var pta = df.ta.bias(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void KURTOSIS()
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{
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KURTOSIS_Series QL = new(bars.Close, period, useNaN: false);
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var pta = df.ta.kurtosis(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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[Fact]
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void MAD()
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{
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MAD_Series QL = new(bars.Close, period, useNaN: false);
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var pta = df.ta.mad(close: df.close, length: period);
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Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
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}
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} |