OoplesFinance.StockIndicators 1.0.46 The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved

.NET 5.0 .NET Core 3.1 .NET Standard 2.0 .NET Framework 4.6.1
Install-Package OoplesFinance.StockIndicators -Version 1.0.46
dotnet add package OoplesFinance.StockIndicators --version 1.0.46
<PackageReference Include="OoplesFinance.StockIndicators" Version="1.0.46" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add OoplesFinance.StockIndicators --version 1.0.46
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: OoplesFinance.StockIndicators, 1.0.46"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install OoplesFinance.StockIndicators as a Cake Addin
#addin nuget:?package=OoplesFinance.StockIndicators&version=1.0.46

// Install OoplesFinance.StockIndicators as a Cake Tool
#tool nuget:?package=OoplesFinance.StockIndicators&version=1.0.46
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

.Net Stock Indicator Library

This is a stock indicator library that is completely open source (Apache 2.0 license) and very easy to use. Current version contains 762 stock indicators and I will add more as I get requests for them!

How to use this library

Here is an example to show how easy it is to create indicators using other indicators

var stockData = new StockData(openPrices, highPrices, lowPrices, closePrices, volumes);
var results = stockData.CalculateRelativeStrengthIndex().CalculateMovingAverageConvergenceDivergence();

Here is a simple example calculating default bollinger bands to get you started using the Alpaca C# Api

using Alpaca.Markets;
using OoplesFinance.StockIndicators.Models;
using static OoplesFinance.StockIndicators.Calculations;

const string paperApiKey = "REPLACEME";
const string paperApiSecret = "REPLACEME";
const string symbol = "AAPL";
var startDate = new DateTime(2021, 01, 01);
var endDate = new DateTime(2021, 12, 31);

var client = Environments.Paper.GetAlpacaDataClient(new SecretKey(paperApiKey, paperApiSecret));
var bars = (await client.ListHistoricalBarsAsync(new HistoricalBarsRequest(symbol, startDate, endDate, BarTimeFrame.Day)).ConfigureAwait(false)).Items;
var stockData = new StockData(bars.Select(x => x.Open), bars.Select(x => x.High), bars.Select(x => x.Low), bars.Select(x => x.Close), bars.Select(x => x.Volume), bars.Select(x => x.TimeUtc));

var results = stockData.CalculateBollingerBands();
var upperBandList = results.OutputValues["UpperBand"];
var middleBandList = results.OutputValues["MiddleBand"];
var lowerBandList = results.OutputValues["LowerBand"];

Here is a more advanced example showing how to calculate bollinger bands with full customization and using a custom input of high rather than the default close

var stockData = new StockData(bars.Select(x => x.Open), bars.Select(x => x.High), bars.Select(x => x.Low), 
bars.Select(x => x.Close), bars.Select(x => x.Volume), bars.Select(x => x.TimeUtc), InputName.High);

var results = stockData.CalculateBollingerBands(MovingAvgType.EhlersMesaAdaptiveMovingAverage, 15, 2.5m);
var upperBandList = results.OutputValues["UpperBand"];
var middleBandList = results.OutputValues["MiddleBand"];
var lowerBandList = results.OutputValues["LowerBand"];

It is extremely important to remember that if you use the same data source to calculate different indicators without using the chaining method then you need to clear the data in between each call. We have a great example for this below:

var stockData = new StockData(bars.Select(x => x.Open), bars.Select(x => x.High), bars.Select(x => x.Low), 
bars.Select(x => x.Close), bars.Select(x => x.Volume), bars.Select(x => x.TimeUtc), InputName.High);

var sma = stockData.CalculateSimpleMovingAverage(14);

// if you don't perform this clear method in between then your ema result will be calculated using the sma results
stockData.Clear();

var ema = stockData.CalculateExponentialMovingAverage(14);

For more detailed Alpaca examples then check out my more advanced Alpaca example code

Support This Project

BTC: 36DRmZefJNW82q9pHY1kWYSZhLUWQkpgGq

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DOGE: DF1nsK1nLASzmwHNAfNengBGS4w7bNyJ1e

SHIB: 0xCDe2355212764218355c9393FbE121Ae49B43382

Paypal: https://www.paypal.me/cheatcountry

Patreon: https://patreon.com/cheatcountry

Support or Contact

Email me at cheatcountry@gmail.com for any help or support or to let me know of ways to further improve this library.

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.46 116 7/26/2022
1.0.45 112 7/19/2022
1.0.44 463 4/21/2022
1.0.43 173 4/3/2022
1.0.42 156 3/17/2022
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1.0.40 154 3/3/2022
1.0.39 77 2/26/2022
1.0.38 88 2/23/2022
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1.0.36 125 2/19/2022
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1.0.34 76 2/12/2022
1.0.33 76 2/11/2022
1.0.32 68 2/10/2022
1.0.31 72 2/10/2022
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1.0.29 75 2/8/2022
1.0.28 79 2/7/2022
1.0.27 89 2/5/2022
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1.0.24 98 1/31/2022
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1.0.22 90 1/27/2022
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0.0.11 88 1/12/2022
0.0.10 90 1/11/2022
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0.0.5 100 1/7/2022
0.0.4 91 1/6/2022
0.0.3 94 1/6/2022
0.0.2 104 1/5/2022
0.0.1 101 1/3/2022
0.0.1-alpha3 71 12/28/2021
0.0.1-alpha2 64 12/28/2021
0.0.1-alpha1 77 12/21/2021