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https://github.com/mihakralj/QuanTAlib.git
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Documentation
This commit is contained in:
Miha Kralj
@@ -4,7 +4,7 @@ using System;
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/* <summary>
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SMA: Simple Moving Average
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The weights are equally distributed across the period, resulting in a mean() of
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the data within the period/
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the data within the period
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Sources:
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https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/simple-moving-average-sma/
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+1
-1
@@ -18,7 +18,7 @@
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</PackageReference>
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<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.5.0-preview-20221221-03" />
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<PackageReference Include="TALib.NETCore" Version="0.4.4" />
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<PackageReference Include="Skender.Stock.Indicators" Version="2.4.6" />
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<PackageReference Include="Skender.Stock.Indicators" Version="2.4.7" />
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<PackageReference Include="Tulip.NETCore" Version="0.8.0.1" />
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<PackageReference Include="System.Text.Json" Version="7.0.1" />
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</ItemGroup>
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@@ -1,4 +1,3 @@
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using Xunit;
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using System;
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using QuanTAlib;
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@@ -392,4 +391,4 @@ public class PandasTA : IDisposable
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}
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}
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}
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}
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@@ -414,7 +414,7 @@ public class Skender
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{
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T3_Series QL = new(source: bars.Close, period: period, vfactor: 0.7, false);
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var SK = quotes.GetT3(lookbackPeriods: period, volumeFactor: 0.7).Select(i => i.T3.Null2NaN()!);
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for (int i = QL.Length; i > skip; i--)
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for (int i = QL.Length; i > period*15; i--)
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{
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double QL_item = Math.Round(QL[i - 1].v, digits: digits);
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double SK_item = Math.Round(SK.ElementAt(i - 1), digits: digits);
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@@ -425,7 +425,7 @@ public class Skender
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public void TRIX() {
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TRIX_Series QL = new(bars.Close, period, false);
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var SK = quotes.GetTrix(period).Select(i => i.Trix.Null2NaN()!);
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for (int i = QL.Length; i > skip; i--) {
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for (int i = QL.Length; i > period*12; i--) {
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double QL_item = Math.Round(QL[i - 1].v, digits: digits);
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double SK_item = Math.Round(SK.ElementAt(i - 1), digits: digits);
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Assert.InRange(SK_item! - QL_item, -Math.Pow(10, -digits), Math.Pow(10, -digits));
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@@ -141,7 +141,7 @@ public class Ta_Lib
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{
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DEMA_Series QL = new(bars.Close, period, false, useSMA: false);
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Core.Dema(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
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for (int i = QL.Length - 1; i > skip*2; i--)
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for (int i = QL.Length - 1; i > period*10; i--)
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{
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double QL_item = Math.Round(QL[i].v, digits: digits);
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double TA_item = Math.Round(TALIB[i - outBegIdx], digits: digits);
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@@ -397,7 +397,7 @@ public class Ta_Lib
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{
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T3_Series QL = new(source: bars.Close, period: period, vfactor: 0.7, useNaN: false);
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Core.T3(inReal: inclose, startIdx: 0, endIdx: bars.Count - 1, outReal: TALIB, outBegIdx: out int outBegIdx, outNbElement: out _, optInTimePeriod: period, optInVFactor: 0.7);
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for (int i = QL.Length - 1; i > skip; i--)
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for (int i = QL.Length - 1; i > period*10; i--)
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{
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double QL_item = Math.Round(QL[i].v, digits: digits);
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double TA_item = Math.Round(TALIB[i - outBegIdx], digits: digits);
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@@ -444,7 +444,7 @@ public class Ta_Lib
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public void TRIX() {
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TRIX_Series QL = new(bars.Close, period, useNaN: false, useSMA: true);
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Core.Trix(inclose, 0, bars.Count - 1, TALIB, out int outBegIdx, out _, period);
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for (int i = QL.Length - 1; i > skip; i--) {
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for (int i = QL.Length - 1; i > period*10; i--) {
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double QL_item = Math.Round(QL[i].v, digits: digits);
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double TA_item = Math.Round(TALIB[i - outBegIdx], digits: digits);
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Assert.InRange(TA_item! - QL_item, -Math.Exp(-digits), Math.Exp(-digits));
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@@ -442,11 +442,11 @@ public class Tulip_Test
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public void TRIX() {
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double[][] arrin = { inclose };
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double[][] arrout = { outdata };
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TRIX_Series QL = new(bars.Close, period, false);
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TRIX_Series QL = new(bars.Close, period);
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Tulip.Indicators.trix.Run(inputs: arrin, options: new double[] { period }, outputs: arrout);
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for (int i = QL.Length - 1; i > skip; i--) {
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for (int i = QL.Length - 1; i > period*10; i--) {
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double QL_item = QL[i].v;
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double TU_item = arrout[0][i - period +1];
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double TU_item = arrout[0][i - (period*3) + 2];
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Assert.InRange(TU_item! - QL_item, -Math.Exp(-digits), Math.Exp(-digits));
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}
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}
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@@ -0,0 +1,5 @@
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# ALMA: Arnaud Legoux Moving Average
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period = 10
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@@ -0,0 +1,5 @@
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# DEMA: Double Exponential Moving Average
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period = 10
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@@ -0,0 +1,5 @@
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# DWMA: Double Weighted Moving Average
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period = 10
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+30
-19
@@ -1,4 +1,7 @@
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# EMA: Exponential Moving Average
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period = 10
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EMA needs very short history buffer and calculates the EMA value using just the previous EMA value. The weight of the new datapoint (k) is k = 2 / (period-1)
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@@ -14,25 +17,33 @@ EMA_n = \left\{ \begin{array}{cl}
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$$
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## Implementation
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``` csharp
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EMA_Series mean = new(source: data, period: p, useNaN: false);
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## Reference Calculation
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period = 5
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```
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- `TSeries source` - List of value tuples (DateTime, double)
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- `int period` - Integer representing the period of SMA
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- `bool useNaN` - if true, initial values from 1 to period-1 will be replaced with NaN. If false, the initial calculation will return values for SMA(length) instead of SMA(period)
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## Comparison & Validation
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Validation tests
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Performance tests
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## Visual analysis
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TSeries data = new() {81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36, 85.53, 86.54, 86.89, 87.77, 87.29};
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EMA_Series ema = new(data, 5, useNaN: false);
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EMA_Series ema_nan = new(data, 5, useNaN: true);
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for (int i=0; i< data.Count; i++)
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Console.WriteLine($"{i}\t{data[i].v,7:f2}\t{ema_nan[i].v,7:f3}\t{ema[i].v,7:f3}");
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```
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|#|input|ema_NaN|ema|
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|--|:--:|:--:|:--:|
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|0| 81.59| NaN| 81.590|
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|1| 81.06| NaN| 81.325|
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|2| 82.87| NaN| 81.840|
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|3| 83.00| NaN| 82.130|
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|4| 83.61| 82.426| 82.426|
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|5| 83.15| 82.667| 82.667|
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|6| 82.84| 82.725| 82.725|
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|7| 83.99| 83.147| 83.147|
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|8| 84.55| 83.614| 83.614|
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|9| 84.36| 83.863| 83.863|
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|10| 85.53| 84.419| 84.419|
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|11| 86.54| 85.126| 85.126|
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|12| 86.89| 85.714| 85.714|
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|13| 87.77| 86.399| 86.399|
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|14| 87.29| 86.696| 86.696|
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## References
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- https://en.wikipedia.org/wiki/Exponential_smoothing
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@@ -0,0 +1,4 @@
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# HEMA: Hull-Exponential Moving Average
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period = 10
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@@ -0,0 +1,4 @@
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# HMA: Hull Moving Average
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period = 10
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@@ -0,0 +1,4 @@
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# JMA: Jurik Moving Average
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period = 10
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@@ -0,0 +1,4 @@
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# KAMA: Kaufman's Adaptive Moving Average
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period = 10
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@@ -0,0 +1,5 @@
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# RMA: wildeR Moving Average
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period = 10
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+35
-23
@@ -1,39 +1,51 @@
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# SMA: Simple Moving Average
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SMA is one of the most basic trend-following indicators used in Technical Analysis. It is calculated as the *unweighted mean* of the previous $p$ (period) data-points.
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period = 10
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SMA is is an arithmetic moving average where the weights in SMA are **equally** distributed across the given period, resulting in a mean() of the data within the period.
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## Calculation
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SMA is a rolling calculation looking backwards from the position ${n}$ and is denoted as ${SMA}_{p}{(data)}$ where $p$ represents the period and $data$ represents the list of data points:
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SMA is a rolling calculation that is looking backwards from the position ${n}$ and is denoted as ${SMA}_{p}{(data)}$ where $p$ represents the period and $data$ represents the list of data points:
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$$
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SMA_p{(data)} = \frac{1}{p}\sum_{i=n-p+1}^{n} data_i
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$$
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When calculating the value of next $SMA_{p,next}$ while knowing all previous SMA values, SMA calculation can be reduced to:
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When calculating the value of the next $SMA_{p,next}$ while knowing all previous SMA values, SMA calculation can be reduced to:
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$$
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SMA_{p,next} = SMA_{p,prev}+\frac{1}{p}\left( data_{n+1}-data_{n+1-p}\right)
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$$
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## Implementation
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``` csharp
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SMA_Series mean = new(source: data, period: p, useNaN: false);
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## Reference Calculation
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period = 5
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```
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TSeries data = new() {81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36, 85.53, 86.54, 86.89, 87.77, 87.29};
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SMA_Series sma = new(data, 5, useNaN: false);
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SMA_Series sma_nan = new(data, 5, useNaN: true);
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for (int i=0; i< data.Count; i++)
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Console.WriteLine($"{i}\t{data[i].v,7:f2}\t{sma_nan[i].v,7:f3}\t{sma[i].v,7:f3}");
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```
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- `TSeries source` - List of value tuples (DateTime, double)
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- `int period` - Integer representing the period of SMA
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- `bool useNaN` - if true, initial values from 1 to period-1 will be replaced with NaN. If false, the initial calculation will return values for SMA(length) instead of SMA(period)
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## Comparison & Validation
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Validation tests
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Performance tests
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## Visual analysis
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|#|input|sma_NaN|sma|
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|--|:--:|:--:|:--:|
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|0| 81.59| NaN| 81.590|
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|1| 81.06| NaN| 81.325|
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|2| 82.87| NaN| 81.840|
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|3| 83.00| NaN| 82.130|
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|4| 83.61| 82.426| 82.426|
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|5| 83.15| 82.738| 82.738|
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|6| 82.84| 83.094| 83.094|
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|7| 83.99| 83.318| 83.318|
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|8| 84.55| 83.628| 83.628|
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|9| 84.36| 83.778| 83.778|
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|10| 85.53| 84.254| 84.254|
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|11| 86.54| 84.994| 84.994|
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|12| 86.89| 85.574| 85.574|
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|13| 87.77| 86.218| 86.218|
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|14| 87.29| 86.804| 86.804|
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## References
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- https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/simple-moving-average-sma/
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- https://en.wikipedia.org/wiki/Moving_average#Simple_moving_average
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- Kaufman, Perry J. (2013) Trading Systems and Methods
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- Murphy, J. (1999) Technical Analysis of the Financial Markets
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@@ -0,0 +1,5 @@
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# SMMA: Smoothed Moving Average
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period = 10
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@@ -0,0 +1,5 @@
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# T3: Tillson T3 Moving Average
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period = 10
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@@ -0,0 +1,5 @@
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# TEMA: Triple Exponential Moving Average
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period = 10
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@@ -0,0 +1,5 @@
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# TRIMA: Triangular Moving Average
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period = 10
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+49
@@ -0,0 +1,49 @@
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# WMA: Weighted Moving Average
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period = 10
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WMA is linearly weighted moving Average where the weights are linearly decreasing over the _period_ and the most recent data has the heaviest weight.
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## Calculation
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WMA is a rolling calculation that is looking backwards from the position ${n}$ and is denoted as ${WMA}_{p}{(data)}$ where $p$ represents the period, $w$ represents the assigned weight and $data$ represents the list of data points:
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$$
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WMA_p{(data)} = \frac{1}{\sum w }\sum_{i=n-p+1}^{n} w_i data_i
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$$
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Weights $w$ are linearly increasing from $1$ to $p$. For example, the weights $w$ for a $p=5$ would be {1, 2, 3, 4, 5}
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## Reference Calculation
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period = 5
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```
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TSeries data = new() {81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36, 85.53, 86.54, 86.89, 87.77, 87.29};
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WMA_Series wma = new(data, 5, useNaN: false);
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WMA_Series wma_nan = new(data, 5, useNaN: true);
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for (int i=0; i< data.Count; i++)
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Console.WriteLine($"{i}\t{data[i].v,7:f2}\t{wma_nan[i].v,7:f3}\t{wma[i].v,7:f3}");
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```
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|#|input|wma_NaN|wma|
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|--|:--:|:--:|:--:|
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|0| 81.59| NaN| 81.590|
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|1| 81.06| NaN| 81.237|
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|2| 82.87| NaN| 82.053|
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|3| 83.00| NaN| 82.432|
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|4| 83.61| 82.825| 82.825|
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|5| 83.15| 83.066| 83.066|
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|6| 82.84| 83.100| 83.100|
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|7| 83.99| 83.399| 83.399|
|
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|8| 84.55| 83.809| 83.809|
|
||||
|9| 84.36| 84.053| 84.053|
|
||||
|10| 85.53| 84.637| 84.637|
|
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|11| 86.54| 85.399| 85.399|
|
||||
|12| 86.89| 86.031| 86.031|
|
||||
|13| 87.77| 86.763| 86.763|
|
||||
|14| 87.29| 87.121| 87.121|
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||||
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## References
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- https://en.wikipedia.org/wiki/Moving_average#Weighted_moving_average
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- Kaufman, Perry J. (2013) Trading Systems and Methods
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- Murphy, J. (1999) Technical Analysis of the Financial Markets
|
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@@ -0,0 +1,5 @@
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# ZLEMA: Zero-lag Exponential Moving Average
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||||
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period = 10
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|
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+17
-1
@@ -2,4 +2,20 @@
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||||
* [List of all Indicators](indicators.md "Indicators coverage")
|
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||||
* [EMA - Exponential Moving Average](EMA.md "EMA - Exponential Moving Average")
|
||||
* [SMA - Simple Moving Average](SMA.md)
|
||||
* [RMA - WildeR Moving Average](RMA.md)
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||||
* [EMA - Exponential Moving Average](EMA.md)
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||||
* [WMA - Weighted Moving Average](WMA.md)
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||||
* [SMMA - Smoothed Moving Average](SMMA.md)
|
||||
* [DWMA - Double Weighted Moving Average](DWMA.md)
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||||
* [TRIMA - Triangular Moving Average](TRIMA.md)
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||||
* [DEMA - Double Exponential MA](DEMA.md)
|
||||
* [TEMA - Triple Exponential MA](TEMA.md)
|
||||
* [T3 - Tillson T3 Exponential MA](T3.md)
|
||||
* [HMA - Hull Moving Average](HMA.md)
|
||||
* [HEMA - Hull/Exponential Moving Average](HEMA.md)
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||||
* [KAMA - Kaufman Adaptive Moving Average](KAMA.md)
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||||
* [ALMA - Arnaud Legoux Moving Average](ALMA.md)
|
||||
* [ZLEMA - Zero-Lag Exponential MA](ZLEMA.md)
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||||
* [JMA - Jurik Moving Average](JMA.md)
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||||
|
||||
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@@ -1,251 +0,0 @@
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{
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||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"dotnet_interactive": {
|
||||
"language": "csharp"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div><div></div><div></div><div></div></div>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
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||||
"Loading extensions from `C:\\Users\\miha\\.nuget\\packages\\plotly.net.interactive\\3.0.2\\interactive-extensions\\dotnet\\Plotly.NET.Interactive.dll`"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"//#r \"nuget: QuanTAlib;\"\n",
|
||||
"\n",
|
||||
"#r \"nuget: Plotly.NET;\"\n",
|
||||
"#r \"nuget: Plotly.NET.Interactive;\"\n",
|
||||
"#r \"nuget: Plotly.NET.ImageExport;\"\n",
|
||||
"#r \"..\\..\\Source\\bin\\Debug\\net6.0\\QuanTAlib.dll\"\n",
|
||||
"\n",
|
||||
"using QuanTAlib;\n",
|
||||
"using Plotly.NET;\n",
|
||||
"using Plotly.NET.LayoutObjects;\n",
|
||||
"using Plotly.NET.ImageExport;"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"dotnet_interactive": {
|
||||
"language": "csharp"
|
||||
},
|
||||
"polyglot_notebook": {
|
||||
"kernelName": "csharp"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"TSeries d1a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};\n",
|
||||
"TSeries d2a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1};\n",
|
||||
"TSeries d3a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};\n",
|
||||
"TSeries d4a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,33,32,31,30,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,8,7,6,5,4,3,2};\n",
|
||||
"TSeries d5a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0.32,0.56,0.72,0.84,0.93,0.99,1,0.97,0.91,0.81,0.68,0.52,0.33,0.14,-0.06,-0.26,-0.44,-0.61,-0.76,-0.87,-0.95,-0.99,-1,-0.96,-0.88,-0.77,-0.63,-0.46,-0.28,-0.08,0.12,0.31,0.49,0.66,0.79,0.9,0.97,1,0.99,0.94,0.85,0.73,0.58,0.41,0.22,0.02,-0.17,-0.37,-0.54,-0.7,-0.83,-0.92,-0.98,-1,-0.98,-0.92,-0.82,-0.69,-0.54,-0.36,-0.17,0.03,0.23,0.42,0.59,0.74};\n",
|
||||
"TSeries d6a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,1,1,1,1,1};\n",
|
||||
"TSeries d7a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0.93,0.27,-0.59,-1,-0.71,0.05,0.75,1,0.67,0,-0.67,-0.99,-0.85,-0.34,0.31,0.81,1,0.82,0.35,-0.22,-0.71,-0.98,-0.95,-0.66,-0.2,0.31,0.72,0.96,0.98,0.78,0.43,-0.01,-0.43,-0.77,-0.96,-0.99,-0.85,-0.58,-0.23,0.16,0.51,0.79,0.95,1,0.92,0.73,0.47,0.15,-0.17,-0.47,-0.72,-0.9,-0.99,-0.99,-0.9,-0.74,-0.52,-0.26,0.01,0.28,0.53,0.73,0.88,0.97,1,0.97};\n",
|
||||
"TSeries d8a = new() {-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,0.03,-0.4,-0.47,0.19,-0.4,-0.23,0.31,0.41,0.19,0.16,-0.5,-0.31,-0.21,0.25,0.18,-0.48,-0.1,0.38,0.29,-0.38,-0.08,-0.21,0.34,0.01,-0.46,0.28,-0.48,0.11,0.02,-0.37,0.19,-0.2,0.1,0.24,0.08,-0.22,-0.12,0.15,0.36,-0.43,-0.03,-0.32,0.45,-0.5,-0.04,-0.04,-0.08,-0.18,0.13,-0.33,-0.19,0.36,-0.39,0.2,-0.31,0.28,-0.13,-0.07,-0.29,0.37,0.03,-0.25,-0.06,-0.3,-0.08,-0.09};\n",
|
||||
"TSeries d9a = new() {-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,0,0.03,0.11,-0.1,-0.43,-0.08,0.36,-0.04,-0.04,-0.21,-0.3,0.26,0.2,0.28,0.2,0.27,-0.01,-0.1,-0.23,-0.13,-0.41,-0.23,-0.07,-0.21,0.32,-0.18,-0.48,0.3,0.46,-0.2,0.52,-0.81,-0.25,-0.21,-0.12,-0.18,0.18,0.52,0.29,0.44,0.18,-1.2,0.38,0.24,0.06,0.28,0.34,0.3,-0.13,0.19,-0.5,0.59,-0.36,0.22,-0.23,0.24,0.39,0.13,-0.33,-0.57,-0.23,0.49,-0.13,0.76,0.59,0.61};\n",
|
||||
"TSeries d10a = new() {-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0,-0.28,0.41,-0.54,0.65,-0.75,0.84,-0.91,0.96,-0.99,1,-0.99,0.96,-0.92,0.85,-0.77,0.67,-0.56,0.44,-0.3,0.17,-0.03,-0.11,0.25,-0.39,0.51,-0.63,0.73,-0.82,0.89,-0.95,0.98,-1,0.99,-0.97,0.93,-0.86,0.78,-0.69,0.58,-0.46,0.33,-0.19,0.05,0.09,-0.23,0.36,-0.49,0.61,-0.71,0.81,-0.88,0.94,-0.98,1,-1,0.98,-0.94,0.88,-0.8,0.71,-0.6,0.48,-0.35,0.22,-0.08,-0.06};\n",
|
||||
"TSeries d11a = new() {-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,0,0.14,-0.76,-0.96,-0.28,0.66,0.99,0.41,-0.54,-1,-0.54,0.42,0.99,0.65,-0.29,-0.96,-0.75,0.15,0.91,0.84,-0.01,-0.85,-0.91,-0.13,0.76,0.96,0.27,-0.66,-0.99,-0.4,0.55,1,0.53,-0.43,-0.99,-0.64,0.3,0.96,0.75,-0.16,-0.92,-0.83,0.02,0.85,0.9,0.12,-0.77,-0.95,-0.26,0.67,0.99,0.4,-0.56,-1,-0.52,0.44,0.99,0.64,-0.3,-0.97,-0.74,0.17,0.92,0.83,-0.03,-0.86};\n",
|
||||
"TSeries d12a = new() {-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0,0,0.05,-0.25,-0.32,-0.09,0.22,0.33,0.14,-0.18,-0.33,-0.18,0.14,0.33,0.22,-0.1,-0.32,-0.25,0.05,0.3,0.28,0,-0.28,-0.3,-0.04,0.25,0.32,0.09,-0.22,-0.33,-0.13,0.18,0.33,0.18,0.86,0.67,0.79,1.1,1.32,1.25,0.95,0.69,0.72,1.01,1.28,1.3,1.04,0.74,0.68,0.91,1.22,1.33,1.13,0.81,0.67,0.83,1.15,1.33,1.21,0.9,0.68,0.75,1.06,1.31,1.28,0.99,0.71};\n",
|
||||
"TSeries d13a = new() {-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0,0,2.7,-0.8,-0.8,3.6,9.3,11.95,10.05,6.3,5,8.3,14.1,17.95,17.25,13.55,11.2,13.25,18.75,23.55,24.2,20.95,17.75,18.45,23.35,28.8,30.8,28.35,24.7,24.05,28,33.75,37,35.65,31.85,28.05,-3.2,1.5,4.8,3.75,-0.8,-4.6,-4.15,0.1,4.25,4.5,0.6,-3.85,-4.75,-1.3,3.35,4.95,2,-2.8,-5,-2.6,2.2,4.95,3.2,-1.5,-4.85,-3.7,0.85,4.6,4.15,-0.15,-4.3};\n",
|
||||
"TSeries d14a = new() {-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0,0,0.59,0.83,0.74,0.5,0.91,1.36,0.93,0.87,0.6,0.38,0.78,0.53,0.42,0.14,0.01,-0.45,-0.71,-0.99,-1,-1.36,-1.22,-1.07,-1.17,-0.56,-0.95,-1.11,-0.16,0.18,-0.28,0.64,-0.5,0.24,0.45,0.67,0.72,1.15,1.52,1.28,1.38,1.03,-0.47,0.96,0.65,0.28,0.3,0.17,-0.07,-0.67,-0.51,-1.33,-0.33,-1.34,-0.78,-1.21,-0.68,-0.43,-0.56,-0.87,-0.93,-0.4,0.52,0.1,1.18,1.18,1.35};\n",
|
||||
"TSeries d15a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1.3,0.3,-0.48,-1.1,-1.14,-0.03,1.11,0.96,0.63,-0.21,-0.97,-0.73,-0.65,-0.06,0.51,1.08,0.99,0.72,0.12,-0.35,-1.12,-1.21,-1.02,-0.87,0.12,0.13,0.24,1.26,1.44,0.58,0.95,-0.82,-0.68,-0.98,-1.08,-1.17,-0.67,-0.06,0.06,0.6,0.69,-0.41,1.33,1.24,0.98,1.01,0.81,0.45,-0.3,-0.28,-1.22,-0.31,-1.35,-0.77,-1.13,-0.5,-0.13,-0.13,-0.32,-0.29,0.3,1.22,0.75,1.73,1.59,1.58};\n",
|
||||
"TSeries d16a = new() {175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.44,176.27,176.04,176.99,175.49,175.68,174.34,176.4,174.05,174.4,174.2,176.16,175,177.72,174.33,176.96,174.62,174.76,170.9,171.12,171.05,170.01,169.24,172.64,171.96,175.72,174.16,175.81,177.3,178.38,176.75,177.19,175.55,178.49,176.52,178.45,178.04,178.25,177.8,176.97,172.94,174.92,173.98,172.29,171.19,172.54,172.11,175.32,175.63,176.65,173.8,176.04,172.74,175.24,171.84,171.54,172.17,171.85,172.38,170.78,173.49,173.69,171.71,174.38,173.99,174.83};"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {
|
||||
"dotnet_interactive": {
|
||||
"language": "csharp"
|
||||
},
|
||||
"polyglot_notebook": {
|
||||
"kernelName": "csharp"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"int period = 10;\n",
|
||||
"int cut = 26;\n",
|
||||
"\n",
|
||||
"EMA_Series d1b = new(d1a, period);\n",
|
||||
"EMA_Series d2b = new(d2a, period);\n",
|
||||
"EMA_Series d3b = new(d3a, period);\n",
|
||||
"EMA_Series d4b = new(d4a, period);\n",
|
||||
"EMA_Series d5b = new(d5a, period);\n",
|
||||
"EMA_Series d6b = new(d6a, period);\n",
|
||||
"EMA_Series d7b = new(d7a, period);\n",
|
||||
"EMA_Series d8b = new(d8a, period);\n",
|
||||
"EMA_Series d9b = new(d9a, period);\n",
|
||||
"EMA_Series d10b = new(d10a, period);\n",
|
||||
"EMA_Series d11b = new(d11a, period);\n",
|
||||
"EMA_Series d12b = new(d12a, period);\n",
|
||||
"EMA_Series d13b = new(d13a, period);\n",
|
||||
"EMA_Series d14b = new(d14a, period);\n",
|
||||
"EMA_Series d15b = new(d15a, period);\n",
|
||||
"EMA_Series d16b = new(d16a, period);\n",
|
||||
"\n",
|
||||
"List<int> x = Enumerable.Range(-cut,96).ToList<int>();\n",
|
||||
"GenericChart.GenericChart ch1a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d1a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch1b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d1b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch2a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d2a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch2b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d2b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch3a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d3a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch3b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d3b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch4a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d4a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch4b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d4b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch5a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d5a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch5b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d5b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch6a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d6a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch6b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d6b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch7a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d7a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch7b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d7b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch8a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d8a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch8b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d8b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch9a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d9a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch9b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d9b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch10a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d10a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch10b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d10b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch11a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d11a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch11b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d11b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch12a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d12a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch12b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d12b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch13a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d13a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch13b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d13b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch14a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d14a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch14b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d14b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch15a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d15a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch15b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d15b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch16a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d16a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch16b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d16b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"\n",
|
||||
"var ch1 = Chart.Combine(new []{ch1a,ch1b});\n",
|
||||
"var ch2 = Chart.Combine(new []{ch2a,ch2b});\n",
|
||||
"var ch3 = Chart.Combine(new []{ch3a,ch3b});\n",
|
||||
"var ch4 = Chart.Combine(new []{ch4a,ch4b});\n",
|
||||
"var ch5 = Chart.Combine(new []{ch5a,ch5b});\n",
|
||||
"var ch6 = Chart.Combine(new []{ch6a,ch6b});\n",
|
||||
"var ch7 = Chart.Combine(new []{ch7a,ch7b});\n",
|
||||
"var ch8 = Chart.Combine(new []{ch8a,ch8b});\n",
|
||||
"var ch9 = Chart.Combine(new []{ch9a,ch9b});\n",
|
||||
"var ch10 = Chart.Combine(new []{ch10a,ch10b});\n",
|
||||
"var ch11 = Chart.Combine(new []{ch11a,ch11b});\n",
|
||||
"var ch12 = Chart.Combine(new []{ch12a,ch12b});\n",
|
||||
"var ch13 = Chart.Combine(new []{ch13a,ch13b});\n",
|
||||
"var ch14 = Chart.Combine(new []{ch14a,ch14b});\n",
|
||||
"var ch15 = Chart.Combine(new []{ch15a,ch15b});\n",
|
||||
"var ch16 = Chart.Combine(new []{ch16a,ch16b});\n",
|
||||
"\n",
|
||||
"Layout layout = new Layout(); layout.SetValue(\"showlegend\",false);\n",
|
||||
"var chart1 = new []{ch1,ch2,ch3,ch4,ch5,ch6,ch7,ch8,ch9,ch10,ch11,ch12,ch13,ch14,ch15,ch16};\n",
|
||||
"var full = Chart.Grid<IEnumerable<GenericChart.GenericChart>>(8,2).Invoke(chart1).WithSize(1000,2200).WithMargin(Margin.init<int, int, int, int, int, bool>(30,20,20,30,7,false)).WithLayout(layout);\n",
|
||||
"full.SaveSVG(\"EMA_chart\", Width: 1000, Height: 2200);"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": ".NET (C#)",
|
||||
"language": "C#",
|
||||
"name": ".net-csharp"
|
||||
},
|
||||
"polyglot_notebook": {
|
||||
"kernelInfo": {
|
||||
"defaultKernelName": "csharp",
|
||||
"items": [
|
||||
{
|
||||
"aliases": [
|
||||
"c#",
|
||||
"C#"
|
||||
],
|
||||
"languageName": "C#",
|
||||
"name": "csharp"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"name": ".NET"
|
||||
},
|
||||
{
|
||||
"aliases": [
|
||||
"f#",
|
||||
"F#"
|
||||
],
|
||||
"languageName": "F#",
|
||||
"name": "fsharp"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"languageName": "HTML",
|
||||
"name": "html"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"languageName": "KQL",
|
||||
"name": "kql"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"languageName": "Mermaid",
|
||||
"name": "mermaid"
|
||||
},
|
||||
{
|
||||
"aliases": [
|
||||
"powershell"
|
||||
],
|
||||
"languageName": "PowerShell",
|
||||
"name": "pwsh"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"languageName": "SQL",
|
||||
"name": "sql"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"name": "value"
|
||||
},
|
||||
{
|
||||
"aliases": [
|
||||
"frontend"
|
||||
],
|
||||
"name": "vscode"
|
||||
},
|
||||
{
|
||||
"aliases": [
|
||||
"js"
|
||||
],
|
||||
"languageName": "JavaScript",
|
||||
"name": "javascript"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"name": "webview"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 153 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 151 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 154 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 152 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 134 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 154 KiB |
@@ -1,242 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {
|
||||
"dotnet_interactive": {
|
||||
"language": "csharp"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div><div></div><div></div><div></div></div>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"//#r \"nuget: QuanTAlib;\"\n",
|
||||
"\n",
|
||||
"#r \"nuget: Plotly.NET;\"\n",
|
||||
"#r \"nuget: Plotly.NET.Interactive;\"\n",
|
||||
"#r \"nuget: Plotly.NET.ImageExport;\"\n",
|
||||
"#r \"..\\..\\Source\\bin\\Debug\\net6.0\\QuanTAlib.dll\"\n",
|
||||
"\n",
|
||||
"using QuanTAlib;\n",
|
||||
"using Plotly.NET;\n",
|
||||
"using Plotly.NET.LayoutObjects;\n",
|
||||
"using Plotly.NET.ImageExport;"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"metadata": {
|
||||
"dotnet_interactive": {
|
||||
"language": "csharp"
|
||||
},
|
||||
"polyglot_notebook": {
|
||||
"kernelName": "csharp"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"TSeries d1a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};\n",
|
||||
"TSeries d2a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1};\n",
|
||||
"TSeries d3a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};\n",
|
||||
"TSeries d4a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,33,32,31,30,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,8,7,6,5,4,3,2};\n",
|
||||
"TSeries d5a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0.32,0.56,0.72,0.84,0.93,0.99,1,0.97,0.91,0.81,0.68,0.52,0.33,0.14,-0.06,-0.26,-0.44,-0.61,-0.76,-0.87,-0.95,-0.99,-1,-0.96,-0.88,-0.77,-0.63,-0.46,-0.28,-0.08,0.12,0.31,0.49,0.66,0.79,0.9,0.97,1,0.99,0.94,0.85,0.73,0.58,0.41,0.22,0.02,-0.17,-0.37,-0.54,-0.7,-0.83,-0.92,-0.98,-1,-0.98,-0.92,-0.82,-0.69,-0.54,-0.36,-0.17,0.03,0.23,0.42,0.59,0.74};\n",
|
||||
"TSeries d6a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,1,1,1,1,1};\n",
|
||||
"TSeries d7a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0.93,0.27,-0.59,-1,-0.71,0.05,0.75,1,0.67,0,-0.67,-0.99,-0.85,-0.34,0.31,0.81,1,0.82,0.35,-0.22,-0.71,-0.98,-0.95,-0.66,-0.2,0.31,0.72,0.96,0.98,0.78,0.43,-0.01,-0.43,-0.77,-0.96,-0.99,-0.85,-0.58,-0.23,0.16,0.51,0.79,0.95,1,0.92,0.73,0.47,0.15,-0.17,-0.47,-0.72,-0.9,-0.99,-0.99,-0.9,-0.74,-0.52,-0.26,0.01,0.28,0.53,0.73,0.88,0.97,1,0.97};\n",
|
||||
"TSeries d8a = new() {-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,0.03,-0.4,-0.47,0.19,-0.4,-0.23,0.31,0.41,0.19,0.16,-0.5,-0.31,-0.21,0.25,0.18,-0.48,-0.1,0.38,0.29,-0.38,-0.08,-0.21,0.34,0.01,-0.46,0.28,-0.48,0.11,0.02,-0.37,0.19,-0.2,0.1,0.24,0.08,-0.22,-0.12,0.15,0.36,-0.43,-0.03,-0.32,0.45,-0.5,-0.04,-0.04,-0.08,-0.18,0.13,-0.33,-0.19,0.36,-0.39,0.2,-0.31,0.28,-0.13,-0.07,-0.29,0.37,0.03,-0.25,-0.06,-0.3,-0.08,-0.09};\n",
|
||||
"TSeries d9a = new() {-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,0,0.03,0.11,-0.1,-0.43,-0.08,0.36,-0.04,-0.04,-0.21,-0.3,0.26,0.2,0.28,0.2,0.27,-0.01,-0.1,-0.23,-0.13,-0.41,-0.23,-0.07,-0.21,0.32,-0.18,-0.48,0.3,0.46,-0.2,0.52,-0.81,-0.25,-0.21,-0.12,-0.18,0.18,0.52,0.29,0.44,0.18,-1.2,0.38,0.24,0.06,0.28,0.34,0.3,-0.13,0.19,-0.5,0.59,-0.36,0.22,-0.23,0.24,0.39,0.13,-0.33,-0.57,-0.23,0.49,-0.13,0.76,0.59,0.61};\n",
|
||||
"TSeries d10a = new() {-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0.4,-0.4,0,-0.28,0.41,-0.54,0.65,-0.75,0.84,-0.91,0.96,-0.99,1,-0.99,0.96,-0.92,0.85,-0.77,0.67,-0.56,0.44,-0.3,0.17,-0.03,-0.11,0.25,-0.39,0.51,-0.63,0.73,-0.82,0.89,-0.95,0.98,-1,0.99,-0.97,0.93,-0.86,0.78,-0.69,0.58,-0.46,0.33,-0.19,0.05,0.09,-0.23,0.36,-0.49,0.61,-0.71,0.81,-0.88,0.94,-0.98,1,-1,0.98,-0.94,0.88,-0.8,0.71,-0.6,0.48,-0.35,0.22,-0.08,-0.06};\n",
|
||||
"TSeries d11a = new() {-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,-0.6,0.6,0,0.14,-0.76,-0.96,-0.28,0.66,0.99,0.41,-0.54,-1,-0.54,0.42,0.99,0.65,-0.29,-0.96,-0.75,0.15,0.91,0.84,-0.01,-0.85,-0.91,-0.13,0.76,0.96,0.27,-0.66,-0.99,-0.4,0.55,1,0.53,-0.43,-0.99,-0.64,0.3,0.96,0.75,-0.16,-0.92,-0.83,0.02,0.85,0.9,0.12,-0.77,-0.95,-0.26,0.67,0.99,0.4,-0.56,-1,-0.52,0.44,0.99,0.64,-0.3,-0.97,-0.74,0.17,0.92,0.83,-0.03,-0.86};\n",
|
||||
"TSeries d12a = new() {-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0,0,0.05,-0.25,-0.32,-0.09,0.22,0.33,0.14,-0.18,-0.33,-0.18,0.14,0.33,0.22,-0.1,-0.32,-0.25,0.05,0.3,0.28,0,-0.28,-0.3,-0.04,0.25,0.32,0.09,-0.22,-0.33,-0.13,0.18,0.33,0.18,0.86,0.67,0.79,1.1,1.32,1.25,0.95,0.69,0.72,1.01,1.28,1.3,1.04,0.74,0.68,0.91,1.22,1.33,1.13,0.81,0.67,0.83,1.15,1.33,1.21,0.9,0.68,0.75,1.06,1.31,1.28,0.99,0.71};\n",
|
||||
"TSeries d13a = new() {-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0,0,2.7,-0.8,-0.8,3.6,9.3,11.95,10.05,6.3,5,8.3,14.1,17.95,17.25,13.55,11.2,13.25,18.75,23.55,24.2,20.95,17.75,18.45,23.35,28.8,30.8,28.35,24.7,24.05,28,33.75,37,35.65,31.85,28.05,-3.2,1.5,4.8,3.75,-0.8,-4.6,-4.15,0.1,4.25,4.5,0.6,-3.85,-4.75,-1.3,3.35,4.95,2,-2.8,-5,-2.6,2.2,4.95,3.2,-1.5,-4.85,-3.7,0.85,4.6,4.15,-0.15,-4.3};\n",
|
||||
"TSeries d14a = new() {-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0.2,-0.2,0,0,0.59,0.83,0.74,0.5,0.91,1.36,0.93,0.87,0.6,0.38,0.78,0.53,0.42,0.14,0.01,-0.45,-0.71,-0.99,-1,-1.36,-1.22,-1.07,-1.17,-0.56,-0.95,-1.11,-0.16,0.18,-0.28,0.64,-0.5,0.24,0.45,0.67,0.72,1.15,1.52,1.28,1.38,1.03,-0.47,0.96,0.65,0.28,0.3,0.17,-0.07,-0.67,-0.51,-1.33,-0.33,-1.34,-0.78,-1.21,-0.68,-0.43,-0.56,-0.87,-0.93,-0.4,0.52,0.1,1.18,1.18,1.35};\n",
|
||||
"TSeries d15a = new() {0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,0,0.01,1.3,0.3,-0.48,-1.1,-1.14,-0.03,1.11,0.96,0.63,-0.21,-0.97,-0.73,-0.65,-0.06,0.51,1.08,0.99,0.72,0.12,-0.35,-1.12,-1.21,-1.02,-0.87,0.12,0.13,0.24,1.26,1.44,0.58,0.95,-0.82,-0.68,-0.98,-1.08,-1.17,-0.67,-0.06,0.06,0.6,0.69,-0.41,1.33,1.24,0.98,1.01,0.81,0.45,-0.3,-0.28,-1.22,-0.31,-1.35,-0.77,-1.13,-0.5,-0.13,-0.13,-0.32,-0.29,0.3,1.22,0.75,1.73,1.59,1.58};\n",
|
||||
"TSeries d16a = new() {175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.1,175.6,175.44,176.27,176.04,176.99,175.49,175.68,174.34,176.4,174.05,174.4,174.2,176.16,175,177.72,174.33,176.96,174.62,174.76,170.9,171.12,171.05,170.01,169.24,172.64,171.96,175.72,174.16,175.81,177.3,178.38,176.75,177.19,175.55,178.49,176.52,178.45,178.04,178.25,177.8,176.97,172.94,174.92,173.98,172.29,171.19,172.54,172.11,175.32,175.63,176.65,173.8,176.04,172.74,175.24,171.84,171.54,172.17,171.85,172.38,170.78,173.49,173.69,171.71,174.38,173.99,174.83};"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"dotnet_interactive": {
|
||||
"language": "csharp"
|
||||
},
|
||||
"polyglot_notebook": {
|
||||
"kernelName": "csharp"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"int period = 10;\n",
|
||||
"int cut = 26;\n",
|
||||
"\n",
|
||||
"SMA_Series d1b = new(d1a, period);\n",
|
||||
"SMA_Series d2b = new(d2a, period);\n",
|
||||
"SMA_Series d3b = new(d3a, period);\n",
|
||||
"SMA_Series d4b = new(d4a, period);\n",
|
||||
"SMA_Series d5b = new(d5a, period);\n",
|
||||
"SMA_Series d6b = new(d6a, period);\n",
|
||||
"SMA_Series d7b = new(d7a, period);\n",
|
||||
"SMA_Series d8b = new(d8a, period);\n",
|
||||
"SMA_Series d9b = new(d9a, period);\n",
|
||||
"SMA_Series d10b = new(d10a, period);\n",
|
||||
"SMA_Series d11b = new(d11a, period);\n",
|
||||
"SMA_Series d12b = new(d12a, period);\n",
|
||||
"SMA_Series d13b = new(d13a, period);\n",
|
||||
"SMA_Series d14b = new(d14a, period);\n",
|
||||
"SMA_Series d15b = new(d15a, period);\n",
|
||||
"SMA_Series d16b = new(d16a, period);\n",
|
||||
"\n",
|
||||
"List<int> x = Enumerable.Range(-cut,96).ToList<int>();\n",
|
||||
"GenericChart.GenericChart ch1a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d1a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch1b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d1b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch2a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d2a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch2b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d2b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch3a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d3a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch3b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d3b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch4a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d4a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch4b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d4b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch5a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d5a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch5b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d5b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch6a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d6a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch6b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d6b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch7a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d7a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch7b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d7b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch8a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d8a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch8b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d8b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch9a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d9a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch9b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d9b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch10a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d10a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch10b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d10b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch11a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d11a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch11b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d11b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch12a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d12a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch12b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d12b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch13a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d13a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch13b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d13b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch14a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d14a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch14b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d14b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch15a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d15a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch15b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d15b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"GenericChart.GenericChart ch16a = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d16a.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 1.0, Color: Color.fromString(\"blue\"));\n",
|
||||
"GenericChart.GenericChart ch16b = Chart2D.Chart.Line<int,double,bool>(x.GetRange(cut,96-cut),d16b.v.GetRange(cut,96-cut),false,\"\").WithLineStyle(Width: 2.5, Color: Color.fromString(\"red\"));\n",
|
||||
"\n",
|
||||
"var ch1 = Chart.Combine(new []{ch1a,ch1b});\n",
|
||||
"var ch2 = Chart.Combine(new []{ch2a,ch2b});\n",
|
||||
"var ch3 = Chart.Combine(new []{ch3a,ch3b});\n",
|
||||
"var ch4 = Chart.Combine(new []{ch4a,ch4b});\n",
|
||||
"var ch5 = Chart.Combine(new []{ch5a,ch5b});\n",
|
||||
"var ch6 = Chart.Combine(new []{ch6a,ch6b});\n",
|
||||
"var ch7 = Chart.Combine(new []{ch7a,ch7b});\n",
|
||||
"var ch8 = Chart.Combine(new []{ch8a,ch8b});\n",
|
||||
"var ch9 = Chart.Combine(new []{ch9a,ch9b});\n",
|
||||
"var ch10 = Chart.Combine(new []{ch10a,ch10b});\n",
|
||||
"var ch11 = Chart.Combine(new []{ch11a,ch11b});\n",
|
||||
"var ch12 = Chart.Combine(new []{ch12a,ch12b});\n",
|
||||
"var ch13 = Chart.Combine(new []{ch13a,ch13b});\n",
|
||||
"var ch14 = Chart.Combine(new []{ch14a,ch14b});\n",
|
||||
"var ch15 = Chart.Combine(new []{ch15a,ch15b});\n",
|
||||
"var ch16 = Chart.Combine(new []{ch16a,ch16b});\n",
|
||||
"\n",
|
||||
"Layout layout = new Layout(); layout.SetValue(\"showlegend\",false);\n",
|
||||
"var chart1 = new []{ch1,ch2,ch3,ch4,ch5,ch6,ch7,ch8,ch9,ch10,ch11,ch12,ch13,ch14,ch15,ch16};\n",
|
||||
"var full = Chart.Grid<IEnumerable<GenericChart.GenericChart>>(8,2).Invoke(chart1).WithSize(1000,2200).WithMargin(Margin.init<int, int, int, int, int, bool>(30,20,20,30,7,false)).WithLayout(layout);\n",
|
||||
"full.SaveSVG(\"SMA_chart\", Width: 1000, Height: 2200);"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": ".NET (C#)",
|
||||
"language": "C#",
|
||||
"name": ".net-csharp"
|
||||
},
|
||||
"polyglot_notebook": {
|
||||
"kernelInfo": {
|
||||
"defaultKernelName": "csharp",
|
||||
"items": [
|
||||
{
|
||||
"aliases": [
|
||||
"c#",
|
||||
"C#"
|
||||
],
|
||||
"languageName": "C#",
|
||||
"name": "csharp"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"name": ".NET"
|
||||
},
|
||||
{
|
||||
"aliases": [
|
||||
"f#",
|
||||
"F#"
|
||||
],
|
||||
"languageName": "F#",
|
||||
"name": "fsharp"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"languageName": "HTML",
|
||||
"name": "html"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"languageName": "KQL",
|
||||
"name": "kql"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"languageName": "Mermaid",
|
||||
"name": "mermaid"
|
||||
},
|
||||
{
|
||||
"aliases": [
|
||||
"powershell"
|
||||
],
|
||||
"languageName": "PowerShell",
|
||||
"name": "pwsh"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"languageName": "SQL",
|
||||
"name": "sql"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"name": "value"
|
||||
},
|
||||
{
|
||||
"aliases": [
|
||||
"frontend"
|
||||
],
|
||||
"name": "vscode"
|
||||
},
|
||||
{
|
||||
"aliases": [
|
||||
"js"
|
||||
],
|
||||
"languageName": "JavaScript",
|
||||
"name": "javascript"
|
||||
},
|
||||
{
|
||||
"aliases": [],
|
||||
"name": "webview"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 154 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 151 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 152 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 152 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 154 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 153 KiB |
+3
-3
@@ -52,7 +52,7 @@
|
||||
||||||
|
||||
|AFIRMA - Autoregressive Finite Impulse Response Moving Average|||||
|
||||
|ALMA - Arnaud Legoux Moving Average|`ALMA_Series`||✔️GetAlma|alma|
|
||||
|DEMA - Double EMA Average|`DEMA_Series`|❌DEMA|✔️GetDema|✔️dema|❌dema|
|
||||
|DEMA - Double EMA Average|`DEMA_Series`|✔️DEMA|✔️GetDema|✔️dema|❌dema|
|
||||
|DWMA - Double WMA Average|`DWMA_Series`|||||
|
||||
|⭐EMA - Exponential Moving Average|`EMA_Series`|✔️EMA|✔️GetEma|✔️ema|✔️ema|
|
||||
|EPMA - Endpoint Moving Average|||GetEpma||
|
||||
@@ -80,7 +80,7 @@
|
||||
|SSF - Ehler's Super Smoother Filter||||ssf|
|
||||
|SUPERTREND - Supertrend||||supertrend|
|
||||
|SWMA - Symmetric Weighted Moving Average||||swma|
|
||||
|T3 - Tillson T3 Moving Average|`T3_Series`|❌T3|❌GetT3|✔️t3|
|
||||
|T3 - Tillson T3 Moving Average|`T3_Series`|✔️T3|✔️GetT3|✔️t3|
|
||||
|TEMA - Triple EMA Average|`TEMA_Series`|✔️TEMA|✔️GetTema|✔️tema|❌tema|
|
||||
|⭐TRIMA - Triangular Moving Average|`TRIMA_Series`|✔️TRIMA||✔️trima|✔️trima|
|
||||
|TSF - Time Series Forecast||TSF|||
|
||||
@@ -151,7 +151,7 @@
|
||||
|SMI - Stochastic Momentum Index|||||
|
||||
|STC - Schaff Trend Cycle|||||
|
||||
|STOCH - Stochastic Oscillator||STOCH|GetStoch||
|
||||
|TRIX - 1-day ROC of TEMA|`TRIX_Series`|❌TRIX|❌GetTrix|✔️trix|❌trix|
|
||||
|TRIX - 1-day ROC of TEMA|`TRIX_Series`|✔️TRIX|✔️GetTrix|✔️trix|❌trix|
|
||||
|TSI - True Strength Index|||||
|
||||
|UO - Ultimate Oscillator||ULTOSC|GetUltimate||ultosc|
|
||||
|WILLR - Larry Williams' %R||WILLR|GetWilliamsR||willr|
|
||||
|
||||
Reference in New Issue
Block a user