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T3

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This commit is contained in:
Miha Kralj
2022-11-18 22:02:48 -08:00
parent 6b52bd2b4e f393ec336d
commit 8b3f07d6bf
13 changed files with 1278 additions and 999 deletions
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Source/Basics/TR_Series.cs
+4 -2
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@@ -19,14 +19,16 @@ Sources:
public class TR_Series : Single_TBars_Indicator
{
private double _cm1 = double.NaN;
private double _cm1, _cm1_o;
public TR_Series(TBars source, bool useNaN = false) : base(source, period:0, useNaN:useNaN) {
_cm1 =_cm1_o = double.NaN;
if (this._bars.Count > 0) { base.Add(this._bars); }
}
public override void Add((DateTime t, double o, double h, double l, double c, double v) TBar, bool update)
{
if (_cm1 is double.NaN) { _cm1 = TBar.c; }
if (update) {_cm1 = _cm1_o; } else { _cm1_o = _cm1; }
if (_cm1 is double.NaN) { _cm1 = TBar.c; } //first bar
double d1 = Math.Abs(TBar.h - TBar.l);
double d2 = Math.Abs(_cm1 - TBar.h);
Source/Feeds/RND_Feed.cs
+7 -7
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@@ -11,18 +11,18 @@ Random Bars generator - used for testing, validation and fun
public class RND_Feed : TBars
{
public RND_Feed(int bars, double volatility = 0.05, double startvalue = 100.0)
public RND_Feed(int Bars, double Volatility = 0.05, double Startvalue = 100.0)
{
Random rnd = new();
double c = startvalue;
for (int i = 0; i < bars; i++)
double c = Startvalue;
for (int i = 0; i < Bars; i++)
{
double o = Math.Round(c + (c * (((volatility * 0.1) * rnd.NextDouble()) - 0.005)), 2);
double h = Math.Round(o + (c * volatility * rnd.NextDouble()), 2);
double l = Math.Round(o - (c * volatility * rnd.NextDouble()), 2);
double o = Math.Round(c + (c * (((Volatility * 0.1) * rnd.NextDouble()) - 0.005)), 2);
double h = Math.Round(o + (c * Volatility * rnd.NextDouble()), 2);
double l = Math.Round(o - (c * Volatility * rnd.NextDouble()), 2);
c = Math.Round(l + ((h - l) * rnd.NextDouble()), 2);
double v = Math.Round(1000 * rnd.NextDouble(), 2);
this.Add(DateTime.Today.AddDays(i - bars), o, h, l, c, v);
this.Add(DateTime.Today.AddDays(i - Bars), o, h, l, c, v);
}
}
}
Source/QuanTAlib.csproj
+3 -2
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@@ -2,7 +2,7 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<Title>QuanTAlib</Title>
<Version>0.1.21</Version>
<Version>0.1.22</Version>
<Product>Library of Technical Indicators for .NET</Product>
<Description>Quantitative Technical Analysis library for both real-time (streaming) and historical data analysis</Description>
<RepositoryType>git</RepositoryType>
@@ -11,7 +11,7 @@
<Authors>Miha Kralj</Authors>
<Copyright>Miha Kralj</Copyright>
<PackageReadmeFile>readme.md</PackageReadmeFile>
<TargetFrameworks>net7.0;</TargetFrameworks>
<TargetFrameworks>net7.0;net6.0;netstandard2.1</TargetFrameworks>
<ImplicitUsings>disable</ImplicitUsings>
<LangVersion>preview</LangVersion>
<Nullable>disable</Nullable>
@@ -66,6 +66,7 @@
<Visible>False</Visible>
<PackagePath></PackagePath>
</None>
<PackageReference Include="System.Collections" Version="4.3.0" />
<PackageReference Include="System.Text.Json" Version="7.0.0" />
</ItemGroup>
</Project>
Source/Trends/MAMA_Series.cs
+41 -51
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@@ -3,8 +3,8 @@ using System;
/* <summary>
MAMA: MESA Adaptive Moving Average
Created by John Ehlers, the MAMA indicator is a 5-period adaptive moving average of
high/low price that uses classic electrical radio-frequency signal processing algorithms
Created by John Ehlers, the MAMA indicator is a 5-period adaptive moving average of
high/low price that uses classic electrical radio-frequency signal processing algorithms
to reduce noise.
KAMAi = KAMAi - 1 + SC * ( price - KAMAi-1 )
@@ -22,84 +22,87 @@ public class MAMA_Series : Single_TSeries_Indicator
fastl = fastlimit;
slowl = slowlimit;
i = 0;
Fama = new();
if (base._data.Count > 0) { base.Add(base._data); }
}
private int i;
private double sumPr, jI, jQ, fastl, slowl;
private (double i, double i1, double i2, double i3, double i4, double i5, double i6, double io) pr, i1, q1, sm, dt;
private (double i, double i1, double io) i2, q2, re, im, pd, ph, mama, fama;
public TSeries Fama { get; }
public override void Add((System.DateTime t, double v) TValue, bool update)
{
if (update) {
i--;
pr.i = pr.i1; pr.i1 = pr.i2; pr.i2 = pr.i3; pr.i3 = pr.i4; pr.i4 = pr.i5; pr.i5 = pr.i6; pr.i6 = pr.io;
i1.i = i1.i1; i1.i1 = i1.i2; i1.i2 = i1.i3; i1.i3 = i1.i4; i1.i4 = i1.i5; i1.i5 = i1.i6; i1.i6 = i1.io;
q1.i = q1.i1; q1.i1 = q1.i2; q1.i2 = q1.i3; q1.i3 = q1.i4; q1.i4 = q1.i5; q1.i5 = q1.i6; q1.i6 = q1.io;
dt.i = dt.i1; dt.i1 = dt.i2; dt.i2 = dt.i3; dt.i3 = dt.i4; dt.i4 = dt.i5; dt.i5 = dt.i6; dt.i6 = dt.io;
sm.i = sm.i1; sm.i1 = sm.i2; sm.i2 = sm.i3; sm.i3 = sm.i4; dt.i4 = sm.i5; sm.i5 = sm.i6; sm.i6 = sm.io;
i2.i = i2.i1; i2.i1 = i2.io;
q2.i = q2.i1; q2.i1 = q2.io;
re.i = re.i1; re.i1 = re.io;
im.i = im.i1; im.i1 = im.io;
pd.i = pd.i1; pd.i1 = pd.io;
ph.i = ph.i1; ph.i1 = ph.io;
mama.i = mama.i1; mama.i1 = mama.io;
fama.i = fama.i1; fama.i1 = fama.io;
}
if (!update) {
// roll forward (oldx = x)
pr.io = pr.i6; pr.i6 = pr.i5; pr.i5 = pr.i4; pr.i4 = pr.i3; pr.i3 = pr.i2; pr.i2 = pr.i1; pr.i1 = pr.i;
i1.io = i1.i6; i1.i6 = i1.i5; i1.i5 = i1.i4; i1.i4 = i1.i3; i1.i3 = i1.i2; i1.i2 = i1.i1; i1.i1 = i1.i;
q1.io = q1.i6; q1.i6 = q1.i5; q1.i5 = q1.i4; q1.i4 = q1.i3; q1.i3 = q1.i2; q1.i2 = q1.i1; q1.i1 = q1.i;
dt.io = dt.i6; dt.i6 = dt.i5; dt.i5 = dt.i4; dt.i4 = dt.i3; dt.i3 = dt.i2; dt.i2 = dt.i1; dt.i1 = dt.i;
sm.io = sm.i6; sm.i6 = sm.i5; sm.i5 = sm.i4; sm.i4 = sm.i3; sm.i3 = sm.i2; sm.i2 = sm.i1; sm.i1 = sm.i;
i2.io = i2.i1; i2.i1 = i2.i;
q2.io = q2.i1; q2.i1 = q2.i;
re.io = re.i1; re.i1 = re.i;
im.io = im.i1; im.i1 = im.i;
pd.io = pd.i1; pd.i1 = pd.i;
ph.io = ph.i1; ph.i1 = ph.i;
mama.io = mama.i1; mama.i1 = mama.i;
fama.io = fama.i1; fama.i1 = fama.i;
}
pr.i = TValue.v;
if (i > 5) {
double adj = (0.075 * pd.i1) + 0.54;
// smooth and detrender
sm.i = ((4 * pr.i) + (3 * pr.i1) + (2 * pr.i2) + pr.i3) / 10;
dt.i = ((0.0962 * sm.i) + (0.5769 * sm.i2) - (0.5769 * sm.i4) - (0.0962 * sm.i6)) * adj;
// in-phase and quadrature
q1.i = ((0.0962 * dt.i) + (0.5769 * dt.i2) - (0.5769 * dt.i4) - (0.0962 * dt.i6)) * adj;
i1.i = dt.i3;
// advance the phases by 90 degrees
jI = ((0.0962 * i1.i) + (0.5769 * i1.i2) - (0.5769 * i1.i4) - (0.0962 * i1.i6)) * adj;
jQ = ((0.0962 * q1.i) + (0.5769 * q1.i2) - (0.5769 * q1.i4) - (0.0962 * q1.i6)) * adj;
// phasor addition for 3-bar averaging
i2.i = i1.i - jQ;
q2.i = q1.i + jI;
i2.i = (0.2 * i2.i) + (0.8 * i2.i1); // smoothing it
q2.i = (0.2 * q2.i) + (0.8 * q2.i1);
// homodyne discriminator
re.i = (i2.i * i2.i1) + (q2.i * q2.i1);
im.i = (i2.i * q2.i1) - (q2.i * i2.i1);
re.i = (0.2 * re.i) + (0.8 * re.i1); // smoothing it
im.i = (0.2 * im.i) + (0.8 * im.i1);
// calculate period
pd.i = (im.i != 0 && re.i != 0) ? (6.283185307179586 / Math.Atan(im.i / re.i)) : 0d;
// adjust period to thresholds
pd.i = (pd.i > 1.5 * pd.i1) ? 1.5 * pd.i1 : pd.i;
pd.i = (pd.i < 0.67 * pd.i1) ? 0.67 * pd.i1 : pd.i;
pd.i = (pd.i < 6d) ? 6d : pd.i;
pd.i = (pd.i > 50d) ? 50d : pd.i;
// smooth the period
pd.i = (0.2 * pd.i) + (0.8 * pd.i1);
// determine phase position
ph.i = (i1.i != 0) ? Math.Atan(q1.i / i1.i) * 57.29577951308232 : 0;
// change in phase
double delta = Math.Max(ph.i1 - ph.i, 1d);
// adaptive alpha value
double alpha = Math.Max(fastl / delta, slowl);
// final indicators
mama.i = ((alpha * pr.i) + ((1d - alpha) * mama.i1));
fama.i = ((0.5d * alpha * mama.i) + ((1d - (0.5d * alpha)) * fama.i1));
@@ -107,25 +110,12 @@ public class MAMA_Series : Single_TSeries_Indicator
else {
sumPr += pr.i;
pd.i = sm.i = dt.i = i1.i = q1.i = i2.i = q2.i = re.i = im.i = ph.i = 0;
mama.i = fama.i = sumPr / (i+1);
mama.i = fama.i = sumPr / (i+1);
}
i++;
pr.io = pr.i6; pr.i6 = pr.i5; pr.i5 = pr.i4; pr.i4 = pr.i3; pr.i3 = pr.i2; pr.i2 = pr.i1; pr.i1 = pr.i;
i1.io = i1.i6; i1.i6 = i1.i5; i1.i5 = i1.i4; i1.i4 = i1.i3; i1.i3 = i1.i2; i1.i2 = i1.i1; i1.i1 = i1.i;
q1.io = q1.i6; q1.i6 = q1.i5; q1.i5 = q1.i4; q1.i4 = q1.i3; q1.i3 = q1.i2; q1.i2 = q1.i1; q1.i1 = q1.i;
dt.io = dt.i6; dt.i6 = dt.i5; dt.i5 = dt.i4; dt.i4 = dt.i3; dt.i3 = dt.i2; dt.i2 = dt.i1; dt.i1 = dt.i;
sm.io = sm.i6; sm.i6 = sm.i5; sm.i5 = sm.i4; sm.i4 = sm.i3; sm.i3 = sm.i2; sm.i2 = sm.i1; sm.i1 = sm.i;
i2.io = i2.i1; i2.i1 = i2.i;
q2.io = q2.i1; q2.i1 = q2.i;
re.io = re.i1; re.i1 = re.i;
im.io = im.i1; im.i1 = im.i;
pd.io = pd.i1; pd.i1 = pd.i;
ph.io = ph.i1; ph.i1 = ph.i;
mama.io = mama.i1; mama.i1 = mama.i;
fama.io = fama.i1; fama.i1 = fama.i;
if (!update) { i++; }
base.Add((TValue.t, mama.i), update, _NaN);
var result = (TValue.t, this.Count < this._p - 1 && this._NaN ? double.NaN : fama.i);
Fama.Add(result, update);
}
}
Source/Trends/T3_Series.cs
+117
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@@ -0,0 +1,117 @@
namespace QuanTAlib;
using System;
using System.Linq;
using System.Numerics;
/* <summary>
T3: Triple Exponential Moving Average
TEMA uses EMA(EMA(EMA())) to calculate less laggy Exponential moving average.
Sources:
https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/triple-exponential-moving-average-tema/
</summary> */
public class T3_Series : Single_TSeries_Indicator
{
private int i;
private double k, a;
private double c1, c2, c3, c4;
private double o_c1, o_c2, o_c3, o_c4;
private double e1, e2, e3, e4, e5, e6;
private double o_e1, o_e2, o_e3, o_e4, o_e5, o_e6;
private double sum1, sum2, sum3, sum4, sum5, sum6;
private double o_sum1, o_sum2, o_sum3, o_sum4, o_sum5, o_sum6;
public T3_Series(TSeries source, int period, double vfactor, bool useNaN = false) : base(source, period, useNaN)
{
i = 0;
k = 2.0 / (_p + 1);
a = vfactor;
c1 = -a * a * a;
c2 = (3 * a * a) + (3 * a * a * a);
c3 = (-6 * a * a) - (3 * a) - (3 * a * a * a);
c4 = 1 + (3 * a) + (3 * a * a) + (a * a * a) ;
e1 = e2 = e3 = e4 = e5 = e6 = 0;
sum1 = sum2 = sum3 = sum4 = sum5 = sum6 = 0;
if (_data.Count > 0) { base.Add(data: _data); }
}
public override void Add((DateTime t, double v) TValue, bool update)
{
if (update) {
// roll back (x = oldx)
c1 = o_c1; c2 = o_c2; c3 = o_c3; c4 = o_c4;
e1 = o_e1; e2 = o_e2; e3 = o_e3; e4 = o_e4; e5 = o_e5; e6 = o_e6;
sum1 = o_sum1; sum2 = o_sum2; sum3 = o_sum3; sum4 = o_sum4; sum5 = o_sum5; sum6 = o_sum6;
} else {
// roll forward (oldx = x)
o_c1 = c1; o_c2 = c2; o_c3 = c3; o_c4 = c4;
o_e1 = e1; o_e2 = e2; o_e3 = e3; o_e4 = e4; o_e5 = e5; o_e6 = e6;
o_sum1 = sum1; o_sum2 = sum2; o_sum3 = sum3; o_sum4 = sum4; o_sum5 = sum5; o_sum6 = sum6;
}
double v = TValue.v;
if (i > _p - 1) {
e1 += k * (v - e1);
if (i > 2 * (_p - 1)) {
e2 += k * (e1 - e2);
if (i > 3 * (_p - 1)) {
e3 += k * (e2 - e3);
if (i > 4 * (_p - 1)) {
e4 += k * (e3 - e4);
if (i > 5 * (_p - 1)) {
e5 += k * (e4 - e5);
if (i > 6 * (_p - 1)) {
e6 += k * (e5 - e6);
}
else {
sum6 += e5;
if (i == 6 * (_p - 1)) {
e6 = sum6 / _p;
}
}
}
else {
sum5 += e4;
if (i == 5 * (_p - 1)) {
sum6 = e5 = sum5 / _p;
}
}
}
else {
sum4 += e3;
if (i == 4 * (_p - 1)) {
sum5 = e4 = sum4 / _p;
}
}
}
else {
sum3 += e2;
if (i == 3 * (_p - 1)) {
sum4 = e3 = sum3 / _p;
}
}
}
else {
sum2 += e1;
if (i == 2 * (_p - 1)) {
sum3 = e2 = sum2 / _p;
}
}
}
else {
sum1 += v;
if (i == _p - 1) {
sum2 = e1 = sum1 / _p;
}
}
if (!update) { i++; }
double t3 = (c1 * e6) + (c2 * e5) + (c3 * e4) + (c4 * e3);
base.Add(TValue: (TValue.t, t3), update: update, useNaN: _NaN);
}
}
Source/Trends/ZLEMA_Series.cs
+18 -20
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@@ -24,38 +24,36 @@ public class ZLEMA_Series : Single_TSeries_Indicator
{
private readonly System.Collections.Generic.List<double> _buffer = new();
private readonly double _k, _k1m;
private double _lastema, _lastlastema;
private double _lastema, _lastema_o;
private int _llag;
public ZLEMA_Series(TSeries source, int period, bool useNaN = false) : base(source, period, useNaN)
{
this._k = 2.0 / (this._p + 1);
this._k1m = 1.0 - this._k;
this._lastema = this._lastlastema = double.NaN;
if (base._data.Count > 0)
{ base.Add(base._data); }
this._lastema = this._lastema_o = double.NaN;
_llag = (int)((_p-1) * 0.5);
if (_data.Count > 0) { base.Add(_data); }
}
public override void Add((System.DateTime t, double v) TValue, bool update)
{
int _lag = (int)((_p-1) * 0.5);
_lag = (this.Count-_lag < 0) ? 0 : this.Count-_lag;
int _lag = Math.Max(this.Count-_llag, 0);
if (update) {
_lastema = _lastema_o; _lag--;
} else {
_lastema_o = _lastema;
}
double _zl = TValue.v + (TValue.v - _data[_lag].v);
double _ema = 0;
if (update)
{ this._lastema = this._lastlastema; }
if (this.Count < this._p)
{
Add_Replace_Trim(_buffer, _zl, _p, update);
_ema = _buffer.Average();
}
else
{
_ema = (_zl * this._k) + (this._lastema * this._k1m);
}
this._lastlastema = this._lastema;
this._lastema = _ema;
if (this.Count < this._p) {
Add_Replace_Trim(_buffer, _zl, _p, update);
_ema = _buffer.Average();
} else {
_ema = (_zl * _k) + (_lastema * _k1m);
}
_lastema = _ema;
base.Add((TValue.t, _ema), update, _NaN);
}
Source/Volatility/RSI_Series.cs
+22 -17
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@@ -16,30 +16,34 @@ public class RSI_Series : Single_TSeries_Indicator
{
private readonly System.Collections.Generic.List<double> _gain = new();
private readonly System.Collections.Generic.List<double> _loss = new();
private double _avgGain;
private double _avgLoss;
private double _lastValue;
private double _lastlastValue;
private double _avgGain, _avgLoss, _lastValue;
private double _avgGain_o, _avgLoss_o, _lastValue_o;
private int i;
public RSI_Series(TSeries source, int period = 10, bool useNaN = false) : base(source, period: period, useNaN: useNaN)
{ if (source.Count > 0) { base.Add(source); } }
public RSI_Series(TSeries source, int period = 10, bool useNaN = false) : base(source, period: period, useNaN: useNaN) {
i = 0;
if (source.Count > 0) { base.Add(source); }
}
public override void Add((System.DateTime t, double v) TValue, bool update)
{
int i = this.Count;
public override void Add((System.DateTime t, double v) TValue, bool update) {
double _rsi = 0;
if (update) { _lastValue = _lastlastValue; }
if (update) {
_lastValue = _lastValue_o;
_avgGain = _avgGain_o;
_avgLoss = _avgLoss_o;
}
else {
_lastValue_o = _lastValue;
_avgGain_o = _avgGain;
_avgLoss_o = _avgLoss;
}
if (i == 0) { _lastValue = TValue.v; }
double _gainval = (TValue.v > _lastValue) ? TValue.v - _lastValue : 0;
if (update) { _gain[_gain.Count - 1] = _gainval; } else { _gain.Add(_gainval); }
if (_gain.Count > this._p) { _gain.RemoveAt(0); }
Add_Replace_Trim(_gain, _gainval, _p, update);
double _lossval = (TValue.v < _lastValue) ? _lastValue - TValue.v : 0;
if (update) { _loss[_loss.Count - 1] = _lossval; } else { _loss.Add(_lossval); }
if (_loss.Count > this._p) { _loss.RemoveAt(0); }
_lastlastValue = _lastValue;
Add_Replace_Trim(_loss, _lossval, _p, update);
_lastValue = TValue.v;
// calculate RSI
@@ -67,6 +71,7 @@ public class RSI_Series : Single_TSeries_Indicator
_rsi = (_avgLoss > 0) ? 100 - (100 / (1 + (_avgGain / _avgLoss))) : 100;
}
if (!update) { i++; }
var result = (TValue.t, (this.Count < this._p && this._NaN) ? double.NaN : _rsi);
base.Add(result, update);
}
Tests/MovingAvg/ALMA_Test.cs
+1 -1
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@@ -3,7 +3,7 @@ using System;
using QuanTAlib;
namespace MovingAvg;
public class ALMA_Test
public class Update
{
[Fact]
public void Add_Test()
Tests/Series/Update.cs
+501
View File
@@ -0,0 +1,501 @@
using Xunit;
using System;
using QuanTAlib;
using Skender.Stock.Indicators;
namespace Series;
public class Update {
private readonly GBM_Feed bars;
private readonly Random rnd = new();
private readonly int period;
public Update() {
bars = new(Bars: 5000, Volatility: 0.8, Drift: 0.0);
period = rnd.Next(28) + 3;
}
[Fact] public void ADL() {
ADL_Series QL = new(bars);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0, 0, 0, 0, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void ADOSC() {
ADOSC_Series QL = new(bars);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0, 0, 0, 0, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void ALMA() {
ALMA_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void ATR() {
ATR_Series QL = new(bars, period: period);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0, 0, 0, 0, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void ATRP() {
ATRP_Series QL = new(bars, period: period);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0, 0, 0, 0, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void BBANDS() {
BBANDS_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void BIAS() {
BIAS_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void CCI() {
CCI_Series QL = new(bars, period: period);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0, 0, 0, 0, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void CORR() {
CORR_Series QL = new(d1: bars.High, d2: bars.Low, period: period);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), (DateTime.Today, 0), update: true);
QL.Add((lastData.t, lastData.h), (lastData.t, lastData.l), update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void COVAR() {
COVAR_Series QL = new(d1: bars.High, d2: bars.Low, period: period);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), (DateTime.Today, 0), update: true);
QL.Add((lastData.t, lastData.h), (lastData.t, lastData.l), update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void DEMA() {
DEMA_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void ENTROPY() {
ENTROPY_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void EMA() {
EMA_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void HEMA() {
HEMA_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void HMA() {
HMA_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void JMA() {
JMA_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void KAMA() {
KAMA_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void KURTOSIS() {
KURTOSIS_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void LINREG() {
LINREG_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void MACD() {
MACD_Series QL = new(source: bars.Close);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
var lastC1 = QL.Signal.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
Assert.Equal(lastC1, QL.Signal.Last()); // same data
}
[Fact] public void MAD() {
MAD_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void MAMA() {
MAMA_Series QL = new(source: bars.Close);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
var lastC1 = QL.Fama.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
Assert.Equal(lastC1, QL.Fama.Last()); // same data
}
[Fact] public void MAPE() {
MAPE_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void MAX() {
MAX_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void MEDIAN() {
MEDIAN_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void MIDPOINT() {
MIDPOINT_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void MIDPRICE() {
MIDPRICE_Series QL = new(bars, period: period);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0, 0, 0, 0, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void MIN() {
MAX_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void MSE() {
MSE_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void OBV() {
OBV_Series QL = new(bars, period: period);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0, 0, 0, 0, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void RSI() {
RSI_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void RMA() {
RMA_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void SDEV() {
SDEV_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void SMA() {
SMA_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void SMAPE() {
SMAPE_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void SMMA() {
SMMA_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void SSDEV() {
SSDEV_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void SUM() {
SUM_Series QL = new(source: bars.Close, period: period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void SVAR() {
SVAR_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void T3() {
SMA_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void TEMA() {
TEMA_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void TR() {
TR_Series QL = new(bars);
var lastData = bars.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0, 0, 0, 0, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void TRIMA() {
TRIMA_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void VAR() {
VAR_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void WMA() {
WMA_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void WMAPE() {
WMAPE_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void ZLEMA() {
ZLEMA_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
[Fact] public void ZSCORE() {
ZSCORE_Series QL = new(source: bars.Close, period);
var lastData = bars.Close.Last();
var lastCalc = QL.Last();
int lastLen = QL.Count;
QL.Add((DateTime.Today, 0), update: true);
QL.Add(lastData, update: true);
Assert.Equal(lastLen, QL.Count); // same size
Assert.Equal(lastCalc, QL.Last()); // same data
}
}
Tests/Validations/Pandas_TA.cs
+162 -252
View File
@@ -7,287 +7,197 @@ using Python.Included;
namespace Validations;
public class PandasTA : IDisposable
{
private readonly GBM_Feed bars;
private readonly Random rnd = new();
private readonly int period;
private readonly string OStype;
private readonly dynamic np;
private readonly dynamic ta;
private readonly dynamic df;
private readonly GBM_Feed bars;
private readonly Random rnd = new();
private readonly int period;
private int digits;
private readonly string OStype;
private readonly dynamic np;
private readonly dynamic ta;
private readonly dynamic df;
public PandasTA() {
bars = new(Bars: 5000, Volatility: 0.8, Drift: 0.0);
period = rnd.Next(maxValue: 28) + 3;
digits = 4; //minimizing rounding errors in type conversions
public PandasTA()
{
bars = new(5000);
period = rnd.Next(28) + 3;
// Checking the host OS and setting PythonDLL accordingly
OStype = Path.GetFullPath(path: ".") + @"\python-3.10.0-embed-amd64\python310.dll";
// Checking the host OS and setting PythonDLL accordingly
OStype = Environment.OSVersion.ToString();
if (OStype == "Unix 13.1.0")
{
OStype = @"/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/libpython3.10.dylib";
}
else
{
OStype = Path.GetFullPath(".") + @"\python-3.10.0-embed-amd64\python310.dll";
}
Installer.InstallPath = Path.GetFullPath(path: ".");
Installer.SetupPython().Wait();
Installer.TryInstallPip();
Installer.PipInstallModule(module_name: "pandas-ta");
Runtime.PythonDLL = OStype;
PythonEngine.Initialize();
np = Py.Import(name: "numpy");
ta = Py.Import(name: "pandas_ta");
Installer.InstallPath = Path.GetFullPath(".");
Installer.SetupPython().Wait();
Installer.TryInstallPip();
Installer.PipInstallModule("pandas-ta");
//alternative: git+https://github.com/twopirllc/pandas-ta
Runtime.PythonDLL = OStype;
PythonEngine.Initialize();
np = Py.Import("numpy");
ta = Py.Import("pandas_ta");
string[] cols = { "open", "high", "low", "close", "volume" };
double[,] ary = new double[bars.Count, 5];
for (int i = 0; i < bars.Count; i++)
{
ary[i, 0] = bars.Open[i].v;
ary[i, 1] = bars.High[i].v;
ary[i, 2] = bars.Low[i].v;
ary[i, 3] = bars.Close[i].v;
ary[i, 4] = bars.Volume[i].v;
}
df = ta.DataFrame(data: np.array(ary), index: np.array(bars.Close.t), columns: np.array(cols));
}
public void Dispose()
{
string[] cols = { "open", "high", "low", "close", "volume" };
double[,] ary = new double[bars.Count, 5];
for (int i = 0; i < bars.Count; i++) {
ary[i, 0] = bars.Open[i].v;
ary[i, 1] = bars.High[i].v;
ary[i, 2] = bars.Low[i].v;
ary[i, 3] = bars.Close[i].v;
ary[i, 4] = bars.Volume[i].v;
}
df = ta.DataFrame(data: np.array(ary), index: np.array(bars.Close.t), columns: np.array(cols));
}
public void Dispose()
{
PythonEngine.Shutdown();
GC.SuppressFinalize(this);
GC.SuppressFinalize(this);
}
[Fact]
void HL2()
{
var pta = df.ta.hl2(high: df.high, low: df.low);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(bars.HL2.Last().v, 4));
}
[Fact]
void HLC3()
{
var pta = df.ta.hlc3(high: df.high, low: df.low, close: df.close);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(bars.HLC3.Last().v, 4));
}
[Fact]
void OHLC4()
{
var pta = df.ta.ohlc4(open: df.open, high: df.high, low: df.low, close: df.close);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(bars.OHLC4.Last().v, 4));
}
[Fact]
void MEDIAN()
{
MEDIAN_Series QL = new(bars.Close, period);
var pta = df.ta.median(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void VARIANCE()
{
VAR_Series QL = new(bars.Close, period);
var pta = df.ta.variance(close: df.close, length: period, ddof:0);
Assert.Equal(Math.Round((double)pta.tail(1), 5), Math.Round(QL.Last().v, 5));
}
[Fact]
void SVARIANCE()
{
SVAR_Series QL = new(bars.Close, period);
var pta = df.ta.variance(close: df.close, length: period, ddof: 1);
Assert.Equal(Math.Round((double)pta.tail(1), 5), Math.Round(QL.Last().v, 5));
}
[Fact]
void ADL()
{
[Fact] void ADL() {
ADL_Series QL = new(bars);
var pta = df.ta.ad(high: df.high, low: df.low, close:df.close, volume:df.volume);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void ADOSC()
{
[Fact] void ADOSC() {
ADOSC_Series QL = new(bars);
var pta = df.ta.adosc(high: df.high, low: df.low, close: df.close, volume: df.volume);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void TR()
{
TR_Series QL = new(bars);
var pta = df.ta.true_range(high: df.high, low: df.low, close: df.close);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void OBV()
{
OBV_Series QL = new(bars);
var pta = df.ta.obv(close: df.close, volume: df.volume);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void ATR()
{
[Fact] void ATR() {
ATR_Series QL = new(bars, period);
var pta = df.ta.atr(high: df.high, low: df.low, close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void RSI()
{
RSI_Series QL = new(bars.Close, period);
var pta = df.ta.rsi(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
[Fact] void BIAS() {
BIAS_Series QL = new(bars.Close, period, false);
var pta = df.ta.bias(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void TRIMA()
{
// TODO: return length to variable length (period) when Pandas-TA fixes trima
TRIMA_Series QL = new(bars.Close, 11);
var pta = df.ta.trima(close: df.close, length: 11);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
[Fact] void DEMA() {
DEMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.dema(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void KAMA()
{
[Fact] void EMA() {
EMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.ema(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void ENTROPY() {
ENTROPY_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.entropy(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void HL2() {
var pta = df.ta.hl2(high: df.high, low: df.low);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(bars.HL2.Last().v, digits: digits));
}
[Fact] void HLC3() {
var pta = df.ta.hlc3(high: df.high, low: df.low, close: df.close);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(bars.HLC3.Last().v, digits: digits));
}
[Fact] void HMA() {
HMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.hma(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void KAMA() {
KAMA_Series QL = new(bars.Close, period);
var pta = df.ta.kama(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void HMA()
{
HMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.hma(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void SMA()
{
SMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.sma(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void EMA()
{
EMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.ema(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void TEMA()
{
TEMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.tema(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 7), Math.Round(QL.Last().v, 7));
}
[Fact]
void SDEV()
{
SDEV_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.stdev(close: df.close, length: period, ddof: 0);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
[Fact] void KURTOSIS() {
KURTOSIS_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.kurtosis(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void SSDEV()
[Fact] void MAD()
{
SSDEV_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.stdev(close: df.close, length: period, ddof: 1);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
MAD_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.mad(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void ZSCORE()
{
ZSCORE_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.zscore(close: df.close, length: period, ddof: 0);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
[Fact] void MEDIAN() {
MEDIAN_Series QL = new(bars.Close, period);
var pta = df.ta.median(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void ENTROPY()
{
ENTROPY_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.entropy(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void WMA()
{
WMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.wma(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void RMA()
{
[Fact] void OBV() {
OBV_Series QL = new(bars);
var pta = df.ta.obv(close: df.close, volume: df.volume);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void OHLC4() {
var pta = df.ta.ohlc4(open: df.open, high: df.high, low: df.low, close: df.close);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(bars.OHLC4.Last().v, digits: digits));
}
[Fact] void RMA() {
RMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.rma(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void ZLEMA()
{
[Fact] void RSI() {
RSI_Series QL = new(bars.Close, period);
var pta = df.ta.rsi(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void SDEV() {
SDEV_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.stdev(close: df.close, length: period, ddof: 0);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void SMA() {
SMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.sma(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void SSDEV() {
SSDEV_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.stdev(close: df.close, length: period, ddof: 1);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void SVARIANCE() {
SVAR_Series QL = new(bars.Close, period);
var pta = df.ta.variance(close: df.close, length: period, ddof: 1);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void T3() {
T3_Series QL = new(source: bars.Close, period: period, vfactor: 0.7, useNaN: false);
var pta = df.ta.t3(close: df.close, length: period, a: 0.7);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void TEMA() {
TEMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.tema(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void TR() {
TR_Series QL = new(bars);
var pta = df.ta.true_range(high: df.high, low: df.low, close: df.close);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void TRIMA() {
// TODO: return length to variable length (period) when Pandas-TA fixes trima to calculate even periods right
TRIMA_Series QL = new(bars.Close, 11);
var pta = df.ta.trima(close: df.close, length: 11);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void VARIANCE() {
VAR_Series QL = new(bars.Close, period);
var pta = df.ta.variance(close: df.close, length: period, ddof:0);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void WMA() {
WMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.wma(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void ZLEMA() {
ZLEMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.zlma(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] void ZSCORE() {
ZSCORE_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.zscore(close: df.close, length: period, ddof: 0);
Assert.Equal(Math.Round((double)pta.tail(1), digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact]
void DEMA()
{
DEMA_Series QL = new(bars.Close, period, false);
var pta = df.ta.dema(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void BIAS()
{
BIAS_Series QL = new(bars.Close, period, false);
var pta = df.ta.bias(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void KURTOSIS()
{
KURTOSIS_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.kurtosis(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
[Fact]
void MAD()
{
MAD_Series QL = new(bars.Close, period, useNaN: false);
var pta = df.ta.mad(close: df.close, length: period);
Assert.Equal(Math.Round((double)pta.tail(1), 4), Math.Round(QL.Last().v, 4));
}
}
Tests/Validations/Skender_Stock.cs
+192 -315
View File
@@ -4,324 +4,201 @@ using Skender.Stock.Indicators;
using Xunit;
namespace Validations;
public class Skender_Stock
{
private readonly GBM_Feed bars;
private readonly Random rnd = new();
private readonly int period;
private readonly IEnumerable<Quote> quotes;
public class Skender_Stock {
private readonly GBM_Feed bars;
private readonly Random rnd = new();
private readonly int period, digits;
private readonly IEnumerable<Quote> quotes;
public Skender_Stock()
{
bars = new(Bars: 5000, Volatility: 0.7, Drift: 0.0);
period = rnd.Next(28) + 3;
quotes = bars.Select(
q => new Quote
{
Date = q.t,
Open = (decimal)q.o,
High = (decimal)q.h,
Low = (decimal)q.l,
Close = (decimal)q.c,
Volume = (decimal)q.v
public Skender_Stock() {
bars = new(Bars: 5000, Volatility: 0.8, Drift: 0.0);
period = rnd.Next(28) + 3;
digits = 4; //minimizing rounding errors in type conversions
quotes = bars.Select(q => new Quote {
Date = q.t,
Open = (decimal)q.o,
High = (decimal)q.h,
Low = (decimal)q.l,
Close = (decimal)q.c,
Volume = (decimal)q.v
});
}
[Fact]
public void SMA()
{
SMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetSma(period);
Assert.Equal(Math.Round((double)SK.Last().Sma!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void EMA()
{
EMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetEma(period);
Assert.Equal(Math.Round((double)SK.Last().Ema!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void WMA()
{
WMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetWma(period);
Assert.Equal(Math.Round((double)SK.Last().Wma!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void DEMA()
{
DEMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetDema(period);
Assert.Equal(Math.Round((double)SK.Last().Dema!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void TEMA()
{
TEMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetTema(period);
Assert.Equal(Math.Round((double)SK.Last().Tema!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void MAMA() {
}
[Fact] public void ADL() {
ADL_Series QL = new(bars, false);
var SK = quotes.GetAdl();
Assert.Equal(Math.Round(SK.Last().Adl!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void ALMA() {
ALMA_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetAlma(period);
Assert.Equal(Math.Round((double)SK.Last().Alma!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void ATR() {
ATR_Series QL = new(bars, period, false);
var SK = quotes.GetAtr(period);
Assert.Equal(Math.Round((double)SK.Last().Atr!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void ATRP() {
ATRP_Series QL = new(bars, period, false);
var SK = quotes.GetAtr(period);
Assert.Equal(Math.Round((double)SK.Last().Atrp!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void BBANDS() {
BBANDS_Series QL = new(bars.Close, period, 2.0, useNaN: false);
var SK = quotes.GetBollingerBands(period, 2.0);
Assert.Equal(Math.Round((double)SK.Last().Sma!, digits: digits), Math.Round(QL.Mid.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().UpperBand!, digits: digits), Math.Round(QL.Upper.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().LowerBand!, digits: digits), Math.Round(QL.Lower.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().Width!, digits: digits), Math.Round(QL.Bandwidth.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().PercentB!, digits: digits), Math.Round(QL.PercentB.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().ZScore!, digits: digits), Math.Round(QL.Zscore.Last().v, digits: digits));
}
[Fact] public void CCI() {
CCI_Series QL = new(bars, period, false);
var SK = quotes.GetCci(period);
Assert.Equal(Math.Round((double)SK.Last().Cci!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void CORR() {
CORR_Series QL = new(bars.High, bars.Low, period, false);
var SK = quotes.Use(CandlePart.High).GetCorrelation(quotes.Use(CandlePart.Low), period);
Assert.Equal(Math.Round((double)SK.Last().Correlation!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void COVAR() {
COVAR_Series QL = new(bars.High, bars.Low, period, false);
var SK = quotes.Use(CandlePart.High).GetCorrelation(quotes.Use(CandlePart.Low), period);
Assert.Equal(Math.Round((double)SK.Last().Covariance!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void DEMA() {
DEMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetDema(period);
Assert.Equal(Math.Round((double)SK.Last().Dema!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void EMA() {
EMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetEma(period);
Assert.Equal(Math.Round((double)SK.Last().Ema!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void HL2() {
TSeries QL = bars.HL2;
var SK = quotes.GetBaseQuote(CandlePart.HL2);
Assert.Equal(Math.Round(SK.Last().Value!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void HLC3() {
TSeries QL = bars.HLC3;
var SK = quotes.GetBaseQuote(CandlePart.HLC3);
Assert.Equal(Math.Round(SK.Last().Value!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void HMA() {
HMA_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetHma(period);
Assert.Equal(Math.Round((double)SK.Last().Hma!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void KAMA() {
KAMA_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetKama(period);
Assert.Equal(Math.Round((double)SK.Last().Kama!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void LINREG() {
LINREG_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetSlope(period);
Assert.Equal(Math.Round((double)SK.Last().Slope!, digits: digits), Math.Round(QL.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().Intercept!, digits: digits), Math.Round(QL.Intercept.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().RSquared!, digits: digits), Math.Round(QL.RSquared.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().StdDev!, digits: digits), Math.Round(QL.StdDev.Last().v, digits: digits));
}
[Fact] public void MACD() {
MACD_Series QL = new(bars.Close, 26, 12, 9, useNaN: false);
var SK = quotes.GetMacd(12, 26, 9);
Assert.Equal(Math.Round((double)SK.Last().Macd!, digits: digits), Math.Round(QL.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().Signal!, digits: digits), Math.Round(QL.Signal.Last().v, digits: digits));
}
[Fact] public void MAD() {
MAD_Series QL = new(bars.Close, period, false);
var SK = quotes.GetSmaAnalysis(period);
Assert.Equal(Math.Round((double)SK.Last().Mad!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void MAMA() {
MAMA_Series QL = new(bars.HL2, fastlimit: 0.5, slowlimit: 0.05);
var SK = quotes.GetMama(fastLimit: 0.5, slowLimit: 0.05);
Assert.Equal(Math.Round((double)SK.Last().Mama!, digits: digits), Math.Round(QL.Last().v, digits: digits));
Assert.Equal(Math.Round((double)SK.Last().Fama!, digits: digits), Math.Round(QL.Fama.Last().v, digits: digits));
}
[Fact] public void MAPE() {
MAPE_Series QL = new(bars.Close, period, false);
var SK = quotes.GetSmaAnalysis(period);
Assert.Equal(Math.Round((double)SK.Last().Mape!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void MSE() {
MSE_Series QL = new(bars.Close, period, false);
var SK = quotes.GetSmaAnalysis(period);
Assert.Equal(Math.Round((double)SK.Last().Mse!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void OBV() {
OBV_Series QL = new(bars, period, false);
var SK = quotes.GetObv(period);
// adding volume[0] to OBV to pass the test and keep compatibility with TA-LIB
Assert.Equal(Math.Round(SK.Last().Obv! + (double)quotes.First().Volume!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void OC2() {
TSeries QL = bars.OC2;
var SK = quotes.GetBaseQuote(CandlePart.OC2);
Assert.Equal(Math.Round(SK.Last().Value!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void OHL3() {
TSeries QL = bars.OHL3;
var SK = quotes.GetBaseQuote(CandlePart.OHL3);
Assert.Equal(Math.Round(SK.Last().Value!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void OHLC4() {
TSeries QL = bars.OHLC4;
var SK = quotes.GetBaseQuote(CandlePart.OHLC4);
Assert.Equal(Math.Round(SK.Last().Value!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void RSI() {
RSI_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetRsi(period);
Assert.Equal(Math.Round((double)SK.Last().Rsi!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void SDEV() {
SDEV_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetStdDev(period);
Assert.Equal(Math.Round((double)SK.Last().StdDev!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void SMA() {
SMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetSma(period);
Assert.Equal(Math.Round((double)SK.Last().Sma!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void SMMA() {
SMMA_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetSmma(period);
Assert.Equal(Math.Round((double)SK.Last().Smma!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void T3() {
T3_Series QL = new(source: bars.Close, period, vfactor: 0.7, false);
var SK = quotes.GetT3(lookbackPeriods: period, volumeFactor: 0.7);
Assert.Equal(Math.Round((double)SK.Last().T3!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void TEMA() {
TEMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetTema(period);
Assert.Equal(Math.Round((double)SK.Last().Tema!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void TR() {
TR_Series QL = new(bars, useNaN: false);
var SK = quotes.GetTr();
Assert.Equal(Math.Round((double)SK.Last().Tr!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void WMA() {
WMA_Series QL = new(bars.Close, period, false);
var SK = quotes.GetWma(period);
Assert.Equal(Math.Round((double)SK.Last().Wma!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void ZSCORE() {
ZSCORE_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetStdDev(period);
Assert.Equal(Math.Round((double)SK.Last().ZScore!, digits: digits), Math.Round(QL.Last().v, digits: digits));
}
Assert.Equal(Math.Round((double)SK.Last().Mama!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void MAD()
{
MAD_Series QL = new(bars.Close, period, false);
var SK = quotes.GetSmaAnalysis(period);
Assert.Equal(Math.Round((double)SK.Last().Mad!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void MSE()
{
MSE_Series QL = new(bars.Close, period, false);
var SK = quotes.GetSmaAnalysis(period);
Assert.Equal(Math.Round((double)SK.Last().Mse!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void MAPE()
{
MAPE_Series QL = new(bars.Close, period, false);
var SK = quotes.GetSmaAnalysis(period);
Assert.Equal(Math.Round((double)SK.Last().Mape!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void COVAR()
{
COVAR_Series QL = new(bars.High, bars.Low, period, false);
var SK = quotes.Use(CandlePart.High).GetCorrelation(quotes.Use(CandlePart.Low), period);
Assert.Equal(Math.Round((double)SK.Last().Covariance!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void CORR()
{
CORR_Series QL = new(bars.High, bars.Low, period, false);
var SK = quotes.Use(CandlePart.High).GetCorrelation(quotes.Use(CandlePart.Low), period);
Assert.Equal(Math.Round((double)SK.Last().Correlation!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void ATR()
{
ATR_Series QL = new(bars, period, false);
var SK = quotes.GetAtr(period);
Assert.Equal(Math.Round((double)SK.Last().Atr!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void OBV()
{
OBV_Series QL = new(bars, period, false);
var SK = quotes.GetObv(period);
// adding volume[0] to OBV to pass the test and keep compatibility with TA-LIB
Assert.Equal(Math.Round(SK.Last().Obv! + (double)quotes.First().Volume!, 5),
Math.Round(QL.Last().v, 5));
}
[Fact]
public void ADL()
{
ADL_Series QL = new(bars, false);
var SK = quotes.GetAdl();
Assert.Equal(Math.Round(SK.Last().Adl!, 5), Math.Round(QL.Last().v, 5));
}
[Fact]
public void CCI()
{
CCI_Series QL = new(bars, period, false);
var SK = quotes.GetCci(period);
Assert.Equal(Math.Round((double)SK.Last().Cci!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void ATRP()
{
ATRP_Series QL = new(bars, period, false);
var SK = quotes.GetAtr(period);
Assert.Equal(Math.Round((double)SK.Last().Atrp!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void KAMA()
{
KAMA_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetKama(period);
Assert.Equal(Math.Round((double)SK.Last().Kama!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void HMA()
{
HMA_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetHma(period);
Assert.Equal(Math.Round((double)SK.Last().Hma!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void SMMA()
{
SMMA_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetSmma(period);
Assert.Equal(Math.Round((double)SK.Last().Smma!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void MACD()
{
MACD_Series QL = new(bars.Close, 26, 12, 9, useNaN: false);
var SK = quotes.GetMacd(12, 26, 9);
Assert.Equal(Math.Round((double)SK.Last().Macd!, 6), Math.Round(QL.Last().v, 6));
Assert.Equal(Math.Round((double)SK.Last().Signal!, 6), Math.Round(QL.Signal.Last().v, 6));
}
[Fact]
public void BBANDS()
{
BBANDS_Series QL = new(bars.Close, period, 2.0, useNaN: false);
var SK = quotes.GetBollingerBands(period, 2.0);
Assert.Equal(Math.Round((double)SK.Last().Sma!, 6), Math.Round(QL.Mid.Last().v, 6));
Assert.Equal(Math.Round((double)SK.Last().UpperBand!, 6), Math.Round(QL.Upper.Last().v, 6));
Assert.Equal(Math.Round((double)SK.Last().LowerBand!, 6), Math.Round(QL.Lower.Last().v, 6));
Assert.Equal(Math.Round((double)SK.Last().Width!, 6), Math.Round(QL.Bandwidth.Last().v, 6));
Assert.Equal(Math.Round((double)SK.Last().PercentB!, 6), Math.Round(QL.PercentB.Last().v, 6));
Assert.Equal(Math.Round((double)SK.Last().ZScore!, 6), Math.Round(QL.Zscore.Last().v, 6));
}
[Fact]
public void RSI()
{
RSI_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetRsi(period);
Assert.Equal(Math.Round((double)SK.Last().Rsi!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void ALMA()
{
ALMA_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetAlma(period);
Assert.Equal(Math.Round((double)SK.Last().Alma!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void SDEV()
{
SDEV_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetStdDev(period);
Assert.Equal(Math.Round((double)SK.Last().StdDev!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void ZSCORE()
{
ZSCORE_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetStdDev(period);
Assert.Equal(Math.Round((double)SK.Last().ZScore!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void LINREG()
{
LINREG_Series QL = new(bars.Close, period, useNaN: false);
var SK = quotes.GetSlope(period);
Assert.Equal(Math.Round((double)SK.Last().Slope!, 6), Math.Round(QL.Last().v, 6));
Assert.Equal(Math.Round((double)SK.Last().Intercept!, 6), Math.Round(QL.Intercept.Last().v, 6));
Assert.Equal(Math.Round((double)SK.Last().RSquared!, 6), Math.Round(QL.RSquared.Last().v, 6));
Assert.Equal(Math.Round((double)SK.Last().StdDev!, 6), Math.Round(QL.StdDev.Last().v, 6));
}
[Fact]
public void TR()
{
TR_Series QL = new(bars, useNaN: false);
var SK = quotes.GetTr();
Assert.Equal(Math.Round((double)SK.Last().Tr!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void HL2()
{
TSeries QL = bars.HL2;
var SK = quotes.GetBaseQuote(CandlePart.HL2);
Assert.Equal(Math.Round(SK.Last().Value!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void OC2()
{
TSeries QL = bars.OC2;
var SK = quotes.GetBaseQuote(CandlePart.OC2);
Assert.Equal(Math.Round(SK.Last().Value!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void HLC3()
{
TSeries QL = bars.HLC3;
var SK = quotes.GetBaseQuote(CandlePart.HLC3);
Assert.Equal(Math.Round(SK.Last().Value!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void OHL3()
{
TSeries QL = bars.OHL3;
var SK = quotes.GetBaseQuote(CandlePart.OHL3);
Assert.Equal(Math.Round(SK.Last().Value!, 6), Math.Round(QL.Last().v, 6));
}
[Fact]
public void OHLC4()
{
TSeries QL = bars.OHLC4;
var SK = quotes.GetBaseQuote(CandlePart.OHLC4);
Assert.Equal(Math.Round((double)SK.Last().Value!, 6), Math.Round(QL.Last().v, 6));
}
}
Tests/Validations/TA_LIB.cs
+208 -330
View File
@@ -1,330 +1,208 @@
using Xunit;
using System;
using TALib;
using QuanTAlib;
namespace Validations;
public class TA_LIB
{
private readonly GBM_Feed bars;
private readonly Random rnd = new();
private readonly int period;
private readonly double[] TALIB;
private readonly double[] TALIB2;
private readonly double[] inopen;
private readonly double[] inhigh;
private readonly double[] inlow;
private readonly double[] inclose;
private readonly double[] involume;
public TA_LIB()
{
bars = new(5000);
period = rnd.Next(28) + 3;
TALIB = new double[bars.Count];
TALIB2 = new double[bars.Count];
inopen = bars.Open.v.ToArray();
inhigh = bars.High.v.ToArray();
inlow = bars.Low.v.ToArray();
inclose = bars.Close.v.ToArray();
involume = bars.Volume.v.ToArray();
}
/////////////////////////////////////////
[Fact]
public void ADD()
{
ADD_Series QL = new(bars.Open, bars.Close);
Core.Add(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void SUB()
{
SUB_Series QL = new(bars.Open, bars.Close);
Core.Sub(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void MUL()
{
MUL_Series QL = new(bars.Open, bars.Close);
Core.Mult(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void DIV()
{
DIV_Series QL = new(bars.Open, bars.Close);
Core.Div(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void CORR()
{
CORR_Series QL = new(bars.Open, bars.Close, period);
Core.Correl(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, optInTimePeriod: period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void SDEV()
{
SDEV_Series QL = new(bars.Close, period, false);
Core.StdDev(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void SMA()
{
SMA_Series QL = new(bars.Close, period, false);
Core.Sma(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void SUM()
{
SUM_Series QL = new(bars.Close, period, false);
Core.Sum(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void MIDPRICE()
{
MIDPRICE_Series QL = new(bars, period, false);
Core.MidPrice(inhigh, inlow, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void VAR()
{
VAR_Series QL = new(bars.Close, period, false);
Core.Var(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 4, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 4));
}
[Fact]
public void MIDPOINT()
{
MIDPOINT_Series QL = new(bars.Close, period, false);
Core.MidPoint(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void MAMA() {
MAMA_Series QL = new(bars.Close, fastlimit: 0.5, slowlimit: 0.05);
Core.Mama(inReal: inclose, startIdx: 0, endIdx: bars.Count - 1, outMama: TALIB, outFama: TALIB2, outBegIdx: out int outBegIdx, outNbElement: out _, optInFastLimit: 0.5, optInSlowLimit: 0.05);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void TRIMA()
{
TRIMA_Series QL = new(bars.Close, period, false);
Core.Trima(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void EMA()
{
EMA_Series QL = new(bars.Close, period, false);
Core.Ema(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void WMA()
{
WMA_Series QL = new(bars.Close, period, false);
Core.Wma(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void DEMA()
{
DEMA_Series QL = new(bars.Close, period, false);
Core.Dema(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void TEMA()
{
TEMA_Series QL = new(bars.Close, period, false);
Core.Tema(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void MAX()
{
MAX_Series QL = new(bars.Close, period, false);
Core.Max(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void MIN()
{
MIN_Series QL = new(bars.Close, period, false);
Core.Min(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void ADL()
{
ADL_Series QL = new(bars, false);
Core.Ad(inhigh, inlow, inclose, involume, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void OBV()
{
OBV_Series QL = new(bars, period, false);
Core.Obv(inclose, involume, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void ADOSC()
{
ADOSC_Series QL = new(bars, false);
Core.AdOsc(inhigh, inlow, inclose, involume, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void ATR()
{
ATR_Series QL = new(bars, period, false);
Core.Atr(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void CCI()
{
CCI_Series QL = new(bars, period, false);
Core.Cci(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void RSI()
{
RSI_Series QL = new(bars.Close, period, false);
Core.Rsi(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void TR()
{
TR_Series QL = new(bars, false);
Core.TRange(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void MACD()
{
double[] macdSignal = new double[bars.Count];
double[] macdHist = new double[bars.Count];
MACD_Series QL = new(bars.Close, slow: 26, fast: 12, signal: 9, false);
Core.Macd(inclose, 0, bars.Count - 1, outMacd: TALIB, outMacdSignal: macdSignal, outMacdHist: macdHist, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
Assert.Equal(Math.Round(macdSignal[macdSignal.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Signal.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void BBANDS()
{
double[] outMiddle = new double[bars.Count];
double[] outUpper = new double[bars.Count];
double[] outLower = new double[bars.Count];
BBANDS_Series QL = new(bars.Close, period: 26, multiplier: 2.0, false);
Core.Bbands(inclose, 0, bars.Count - 1, outRealUpperBand: outUpper, outRealMiddleBand: outMiddle, outRealLowerBand: outLower, out int outBegIdx, out _, optInTimePeriod: 26, optInNbDevUp: 2.0, optInNbDevDn: 2.0);
Assert.Equal(Math.Round(outUpper[outUpper.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Upper.Last().v, 6, MidpointRounding.AwayFromZero));
Assert.Equal(Math.Round(outMiddle[outMiddle.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Mid.Last().v, 6, MidpointRounding.AwayFromZero));
Assert.Equal(Math.Round(outLower[outLower.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Lower.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void HL2()
{
TSeries QL = bars.HL2;
Core.MedPrice(inhigh, inlow, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void HLC3()
{
TSeries QL = bars.HLC3;
Core.TypPrice(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void OHLC4()
{
TSeries QL = bars.OHLC4;
Core.AvgPrice(inopen, inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
[Fact]
public void HLCC4()
{
TSeries QL = bars.HLCC4;
Core.WclPrice(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], 6, MidpointRounding.AwayFromZero), Math.Round(QL.Last().v, 6, MidpointRounding.AwayFromZero));
}
}
using Xunit;
using System;
using TALib;
using QuanTAlib;
namespace Validations;
public class Ta_Lib
{
private readonly GBM_Feed bars;
private readonly Random rnd = new();
private readonly int period, digits;
private readonly double[] TALIB;
private readonly double[] TALIB2;
private readonly double[] inopen;
private readonly double[] inhigh;
private readonly double[] inlow;
private readonly double[] inclose;
private readonly double[] involume;
public Ta_Lib() {
bars = new(Bars: 5000, Volatility: 0.8, Drift: 0.0);
period = rnd.Next(28) + 3;
digits = 6;
TALIB = new double[bars.Count];
TALIB2 = new double[bars.Count];
inopen = bars.Open.v.ToArray();
inhigh = bars.High.v.ToArray();
inlow = bars.Low.v.ToArray();
inclose = bars.Close.v.ToArray();
involume = bars.Volume.v.ToArray();
}
[Fact] public void ADD() {
ADD_Series QL = new(bars.Open, bars.Close);
Core.Add(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void ADL() {
ADL_Series QL = new(bars, false);
Core.Ad(inhigh, inlow, inclose, involume, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void ADOSC() {
ADOSC_Series QL = new(bars, false);
Core.AdOsc(inhigh, inlow, inclose, involume, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void ATR() {
ATR_Series QL = new(bars, period, false);
Core.Atr(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void BBANDS() {
double[] outMiddle = new double[bars.Count];
double[] outUpper = new double[bars.Count];
double[] outLower = new double[bars.Count];
BBANDS_Series QL = new(bars.Close, period: 26, multiplier: 2.0, false);
Core.Bbands(inclose, 0, bars.Count - 1, outRealUpperBand: outUpper, outRealMiddleBand: outMiddle, outRealLowerBand: outLower, out int outBegIdx, out _, optInTimePeriod: 26, optInNbDevUp: 2.0, optInNbDevDn: 2.0);
Assert.Equal(Math.Round(outUpper[outUpper.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Upper.Last().v, digits: digits));
Assert.Equal(Math.Round(outMiddle[outMiddle.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Mid.Last().v, digits: digits));
Assert.Equal(Math.Round(outLower[outLower.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Lower.Last().v, digits: digits));
}
[Fact] public void CCI() {
CCI_Series QL = new(bars, period, false);
Core.Cci(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void CORR() {
CORR_Series QL = new(bars.Open, bars.Close, period);
Core.Correl(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, optInTimePeriod: period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void DEMA() {
DEMA_Series QL = new(bars.Close, period, false);
Core.Dema(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void DIV() {
DIV_Series QL = new(bars.Open, bars.Close);
Core.Div(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void EMA() {
EMA_Series QL = new(bars.Close, period, false);
Core.Ema(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void HL2() {
TSeries QL = bars.HL2;
Core.MedPrice(inhigh, inlow, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void HLC3() {
TSeries QL = bars.HLC3;
Core.TypPrice(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void HLCC4() {
TSeries QL = bars.HLCC4;
Core.WclPrice(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void MACD() {
double[] macdSignal = new double[bars.Count];
double[] macdHist = new double[bars.Count];
MACD_Series QL = new(bars.Close, slow: 26, fast: 12, signal: 9, false);
Core.Macd(inclose, 0, bars.Count - 1, outMacd: TALIB, outMacdSignal: macdSignal, outMacdHist: macdHist, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
Assert.Equal(Math.Round(macdSignal[macdSignal.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Signal.Last().v, digits: digits));
}
[Fact] public void MAMA() {
MAMA_Series QL = new(bars.Close, fastlimit: 0.5, slowlimit: 0.05);
Core.Mama(inReal: inclose, startIdx: 0, endIdx: bars.Count - 1, outMama: TALIB, outFama: TALIB2, outBegIdx: out int outBegIdx, outNbElement: out _, optInFastLimit: 0.5, optInSlowLimit: 0.05);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void MAX() {
MAX_Series QL = new(bars.Close, period, false);
Core.Max(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void MIDPOINT() {
MIDPOINT_Series QL = new(bars.Close, period, false);
Core.MidPoint(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void MIDPRICE() {
MIDPRICE_Series QL = new(bars, period, false);
Core.MidPrice(inhigh, inlow, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void MIN() {
MIN_Series QL = new(bars.Close, period, false);
Core.Min(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void MUL() {
MUL_Series QL = new(bars.Open, bars.Close);
Core.Mult(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void OBV() {
OBV_Series QL = new(bars, period, false);
Core.Obv(inclose, involume, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void OHLC4() {
TSeries QL = bars.OHLC4;
Core.AvgPrice(inopen, inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void RSI() {
RSI_Series QL = new(bars.Close, period, false);
Core.Rsi(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void SDEV() {
SDEV_Series QL = new(bars.Close, period, false);
Core.StdDev(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void SMA() {
SMA_Series QL = new(bars.Close, period, false);
Core.Sma(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void SUB() {
SUB_Series QL = new(bars.Open, bars.Close);
Core.Sub(inopen, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void SUM() {
SUM_Series QL = new(bars.Close, period, false);
Core.Sum(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void T3() {
T3_Series QL = new(source: bars.Close, period: period, vfactor:0.7, useNaN: false);
Core.T3(inReal: inclose, startIdx: 0, endIdx: bars.Count - 1, outReal: TALIB, outBegIdx: out int outBegIdx, outNbElement: out _, optInTimePeriod: period, optInVFactor: 0.7);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void TEMA() {
TEMA_Series QL = new(bars.Close, period, false);
Core.Tema(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void TR() {
TR_Series QL = new(bars, false);
Core.TRange(inhigh, inlow, inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void TRIMA() {
TRIMA_Series QL = new(bars.Close, period, false);
Core.Trima(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void VAR() {
VAR_Series QL = new(bars.Close, period, false);
Core.Var(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
[Fact] public void WMA() {
WMA_Series QL = new(bars.Close, period, false);
Core.Wma(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
Assert.Equal(Math.Round(TALIB[TALIB.Length - outBegIdx - 1], digits: digits), Math.Round(QL.Last().v, digits: digits));
}
}
docs/readme.md
+2 -2
View File
@@ -92,7 +92,7 @@ See [Getting Started](https://github.com/mihakralj/QuanTAlib/blob/main/Docs/gett
| ⛔ KDJ - KDJ Indicator (trend reversal) |||| kdj |
| ⛔ LSMA - Least Squares Moving Average |||||
| ⭐ MACD - Moving Average Convergence/Divergence | `MACD_Series` | MACD | GetMacd | macd |
| ⛔ MAMA - MESA Adaptive Moving Average || MAMA | GetMama ||
| ⭐ MAMA - MESA Adaptive Moving Average | `MAMA_Series` | MAMA | GetMama ||
| ⛔ MCGD - McGinley Dynamic |||| mcgd |
| ⛔ MMA - Modified Moving Average |||||
| ⛔ PPMA - Pivot Point Moving Average |||||
@@ -104,7 +104,7 @@ See [Getting Started](https://github.com/mihakralj/QuanTAlib/blob/main/Docs/gett
| ⛔ SSF - Ehler's Super Smoother Filter |||| ssf |
| ⛔ SUPERTREND - Supertrend |||| supertrend |
| ⛔ SWMA - Symmetric Weighted Moving Average |||| swma |
| ⛔ T3 - Tillson T3 Moving Average || T3 | GetT3 | t3 |
| ⭐ T3 - Tillson T3 Moving Average | `T3_Series` | T3 | GetT3 | t3 |
| ⭐ TEMA - Triple EMA Average | `TEMA_Series` | TEMA | GetTema | tema |
| ⭐ TRIMA - Triangular Moving Average | `TRIMA_Series` | TRIMA || trima |
| ⛔ TSF - Time Series Forecast || TSF |||