QuanTAlib 0.1.17
See the version list below for details.
dotnet add package QuanTAlib --version 0.1.17
NuGet\Install-Package QuanTAlib -Version 0.1.17
<PackageReference Include="QuanTAlib" Version="0.1.17" />
paket add QuanTAlib --version 0.1.17
#r "nuget: QuanTAlib, 0.1.17"
// Install QuanTAlib as a Cake Addin #addin nuget:?package=QuanTAlib&version=0.1.17 // Install QuanTAlib as a Cake Tool #tool nuget:?package=QuanTAlib&version=0.1.17
QuanTAlib - quantitative technical indicators for Quantower and other C#-based trading platorms
Quantitative TA Library (QuanTAlib) is an easy-to-use C# library for quantitative technical analysis with base algorithms, charts, signals and strategies useful for trading securities with Quantower and other C#-based trading platforms.
QuanTAlib is written with some specific design criteria in mind - some reasons why there is 'yet another C# TA library':
- Written in native C# - no code conversion from TA-LIB or other imported/converted TA libraries
- No usage of Decimal datatypes, LINQ, interface abstractions, or static classes with tons of methods (all for performance reasons)
- Supports both historical data analysis (working on bulk of historical arrays) and real-time analysis (adding one data item at the time without the need to re-calculate the whole history)
- Calculate early data right - no hiding of incomplete calculations with NaN values (unless explicitly requested with useNan: true), data is as valid as mathematically possible from the first value
- Usage of events - each data series is an event publisher, each indicator is a subscriber - this allows seamless data flow between indicators)
- Seamlessly integrates with Polyglot notebooks (.NET Interactive) and used in Jupyter notebooks - see the examples and documentation.
QuanTAlib does not focus on sources of OHLCV quotes. There are some basic data feeds available to use in learning and strategy exploration: RND_Feed
and GBM_Feed
for random data feed, Yahoo_Feed
and Alphavantage_Feed
for quick grab of basic daily data of US stock market.
See Getting Started .NET interactive notebook to get a feel how library works. Developers can use QuanTAlib in .NET interactive or in console apps, but the best usage of the library is withing C#-enabled trading platforms - see QuanTower_Charts folder for Quantower examples.
Coverage
⭐= Calculation is validated against other TA libraries
✔️= Calculation exists but has no cross-validation tests
⛔= Not implemented (yet)
BASIC TRANSFORMS | QuanTAlib | TA-LIB | Skender |
---|---|---|---|
✔️ OC2 - (Open+Close)/2 | ️ .OC2 |
️GetBaseQuote |
|
⭐ HL2 - Median Price | .HL2 |
MEDPRICE |
️GetBaseQuote |
⭐ HLC3 - Typical Price | .HLC3 |
TYPPRICE |
|
✔️ OHL3 - (Open+High+Low)/3 | .OHL3 |
||
⭐ OHLC4 - Average Price | .OHLC4 |
AVGPRICE |
️ GetBaseQuote |
⭐ HLCC4 - Weighted Price | .HLCC4 |
WCLPRICE |
|
✔️ ZL - De-lagged price (Zero-Lag) | ZL_Series |
||
⭐ MAX - Max value | MAX_Series |
MAX |
|
⛔ MID - Midpoint value | MIDPOINT |
||
⛔ MIDP - Midpoint price | MIDPRICE |
||
⭐ MIN - Min value | MIN_Series |
MIN |
|
⭐ ADD - Addition | ADD_Series |
ADD |
|
⭐ SUB - Subtraction | SUB_Series |
SUB |
|
⭐ MUL - Multiplication | MUL_Series |
MUL |
|
⭐ DIV - Division | DIV_Series |
DIV |
|
STATISTICS & NUMERICAL ANALYSIS | QuanTAlib | TA-LIB | Skender |
✔️ BIAS - Bias | BIAS_Series | ||
⛔ CORREL - Pearson's Correlation Coefficient | CORREL | GetCorrelation | |
⛔ COVAR - Covariance | GetCorrelation | ||
✔️ ENTP - Entropy | ENTP_Series | ||
✔️ KURT - Kurtosis | KURT_Series | ||
⭐ LINREG - Linear Regression | LINREG_Series | GetSlope | |
⭐ MAD - Mean Absolute Deviation | MAD_Series | GetSma | |
⭐ MAPE - Mean Absolute Percent Error | MAPE_Series | GetSma | |
✔️ MED - Median value | MED_Series | ||
✔️ MSE - Mean Squared Error | MSE_Series | GetSma | |
⛔ SKEW - Skewness | |||
⭐ SDEV - Standard Deviation (Volatility) | SDEV_Series | ||
✔️ SSDEV - Sample Standard Deviation | SSDEV_Series | ||
✔️ SMAPE - Symmetric Mean Absolute Percent Error | SMAPE_Series | ||
✔️ VAR - Population Variance | VAR_Series | ||
✔️ SVAR - Sample Variance | SVAR_Series | ||
⛔ QUANT - Quantile | |||
✔️ WMAPE - Weighted Mean Absolute Percent Error | WMAPE_Series | ||
⛔ ZSCORE - Number of standard deviations from mean | |||
TREND INDICATORS & AVERAGES | QuanTAlib | TA-LIB | Skender |
⛔ AFIRMA - Autoregressive Finite Impulse Response Moving Average | |||
⭐ ALMA - Arnaud Legoux Moving Average | ALMA_Series | GetAlma | |
⛔ ARIMA - Autoregressive Integrated Moving Average | |||
⭐ DEMA - Double EMA Average | DEMA_Series | DEMA | GetDema |
⭐ EMA - Exponential Moving Average | EMA_Series | GetEma | |
⛔ EPMA - Endpoint Moving Average | GetEpma | ||
⛔ FWMA - Fibonacci's Weighted Moving Average | |||
✔️ HEMA - Hull/EMA Average | HEMA_Series | ||
⛔ Hilbert Transform Instantaneous Trendline | HT_TRENDLINE | GetHtTrendline | |
⭐ HMA - Hull Moving Average | HMA_Series | GetHma | |
⛔ HWMA - Holt-Winter Moving Average | |||
✔️ JMA - Jurik Moving Average | JMA_Series | ||
⭐ KAMA - Kaufman's Adaptive Moving Average | KAMA_Series | KAMA | GetKama |
⛔ LSMA - Least Squares Moving Average | |||
⭐ MACD - Moving Average Convergence/Divergence | MACD_Series | MACD | GetMacd |
⛔ MAMA - MESA Adaptive Moving Average | MAMA | GetMama | |
⛔ MMA - Modified Moving Average | |||
⛔ PPMA - Pivot Point Moving Average | |||
⛔ PWMA - Pascal's Weighted Moving Average | |||
✔️ RMA - WildeR's Moving Average | RMA__Series | ||
⛔ SINWMA - Sine Weighted Moving Average | |||
⭐ SMA - Simple Moving Average | SMA_Series | ||
⭐ SMMA - Smoothed Moving Average | SMMA_Series | ||
⛔ SSF - Ehler's Super Smoother Filter | |||
⛔ SUP - Supertrend | |||
⛔ SWMA - Symmetric Weighted Moving Average | |||
⛔ T3 - Tillson T3 Moving Average | |||
⭐ TEMA - Triple EMA Average | TEMA_Series | ||
⛔ TRIMA - Triangular Moving Average | |||
⛔ VIDYA - Variable Index Dynamic Average | |||
⭐ WMA - Weighted Moving Average | WMA_Series | ||
✔️ ZLEMA - Zero Lag EMA Average | ZLEMA_Series | ||
VOLATILITY INDICATORS | QuanTAlib | TA-LIB | Skender |
⭐ ADL - Chaikin Accumulation Distribution Line | ADL_Series | AD | GetAdl |
⭐ ADOSC - Chaikin Accumulation Distribution Oscillator | ADOSC_Series | ADOSC | GetAdl |
⭐ ATR - Average True Range | ATR_Series | ATR | GetAtr |
⭐ ATRP - Average True Range Percent | ATRP_Series | GetAtr | |
✔️ BETA - Beta coefficient | BETA | GetBeta | |
⭐ BBANDS - Bollinger Bands® | BBANDS_Series | BBANDS | GetBollingerBands |
⛔ CRSI - Connor RSI | GetConnorsRsi | ||
⛔ DON - Donchian Channels | GetDonchian | ||
⛔ FCB - Fractal Chaos Bands | GetFcb | ||
⛔ HV - Historical Volatility | |||
⛔ ICH - Ichimoku | GetIchimoku | ||
⛔ KEL - Keltner Channels | GetKeltner | ||
⛔ NATR - Normalized Average True Range | NATR | GetAtr | |
⭐ RSI - Relative Strength Index | RSI_Series | ||
⛔ SAR - Parabolic Stop and Reverse | SAR | GetParabolicSar | |
⛔ SRSI - Stochastic RSI | |||
⛔ STARC - Starc Bands | |||
⭐ TR - True Range | TR_Series | ||
⛔ UI - Ulcer Index | |||
⛔ VSTOP - Volatility Stop | |||
MOMENTUM INDICATORS & OSCILLATORS | QuanTAlib | TA-LIB | Skender |
⛔ AC - Acceleration Oscillator | |||
⛔ ADX - Average Directional Movement Index | ADX | GetAdx | |
⛔ ADXR - Average Directional Movement Index Rating | ADXR | GetAdx | |
⛔ AO - Awesome Oscillator | GetAwesome | ||
⛔ APO - Absolute Price Oscillator | APO | ||
⛔ AROON - Aroon oscillator | AROON | GetAroon | |
⛔ BOP - Balance of Power | BOP | GetBop | |
⭐ CCI - Commodity Channel Index | CCI_Series | CCI | GetCci |
⛔ CFO - Chande Forcast Oscillator | |||
⛔ CMF - Chaikin Money Flow | |||
⛔ CMO - Chande Momentum Oscillator | CMO | GetCmo | |
⛔ COG - Center of Gravity | |||
⛔ CTI - Ehler's Correlation Trend Indicator | |||
⛔ DPO - Detrended Price Oscillator | GetDpo | ||
⛔ DMI - Directional Movement Index | DX | GetAdx | |
⛔ EFI - Elder Ray's Force Index | GetElderRay | ||
⛔ GAT - Alligator oscillator | GetGator | ||
⛔ HURST - Hurst Exponent | GetHurst | ||
⛔ KRI - Kairi Relative Index | |||
⛔ KVO - Klinger Volume Oscillator | |||
⛔ MFI - Money Flow Index | MFI | GetMfi | |
⛔ ROC - Rate of Change (Momentum) | MOM | GetRoc | |
⛔ NVI - Negative Volume Index | |||
⛔ PO - Price Oscillator | |||
⛔ PPO - Percentage Price Oscillator | PPO | ||
⛔ PMO - Price Momentum Oscillator | |||
⛔ PVI - Positive Volume Index | |||
⛔ RVGI - Relative Vigor Index | |||
⛔ SMI - Stochastic Momentum Index | |||
⛔ STOCH - Stochastic Oscillator | |||
⛔ TRIX - 1-day ROC of TEMA | |||
⛔ TSI - True Strength Index | |||
⛔ UO - Ultimate Oscillator | |||
⛔ WGAT - Williams Alligator | |||
VOLUME INDICATORS | QuanTAlib | TA-LIB | Skender |
⛔ AOBV - Archer On-Balance Volume | |||
⛔ OBV - On-Balance Volume | OBV | GetObv | |
⛔ PRS - Price Relative Strength | |||
⛔ PVOL - Price-Volume | |||
⛔ PVO - Percentage Volume Oscillator | |||
⛔ PVR - Price Volume Rank | |||
⛔ PVT - Price Volume Trend | |||
⛔ VP - Volume Profile | |||
⛔ VWAP - Volume Weighted Average Price | |||
⛔ VWMA - Volume Weighted Moving Average | |||
Unsorted | QuanTAlib | TA-LIB | Skender |
⛔ CHN - Price Channel | |||
⛔ COPPOCK - Coppock Curve | |||
⛔ EOM - Ease of Movement | |||
⛔ HILO - Gann High-Low Activator | |||
⛔ HT - HT Trendline | |||
⛔ MCGD - McGinley Dynamic | |||
⛔ STC - Schaff Trend Cycle | |||
⛔ WILLR - Larry Williams' %R | |||
⛔ VOR - Vortex Indicator | |||
⛔ PVT - Pivot Points | |||
⛔ KDJ - KDJ Index | |||
⛔ CHAND - Chandelier Exit |
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 is compatible. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 is compatible. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.0
- System.Text.Json (>= 6.0.6)
-
net6.0
- System.Text.Json (>= 6.0.6)
-
net7.0
- System.Text.Json (>= 6.0.6)
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 |
---|---|---|
0.7.13 | 37 | 11/9/2024 |
0.7.12 | 36 | 11/8/2024 |
0.7.11 | 40 | 11/5/2024 |
0.7.10 | 35 | 11/5/2024 |
0.7.9 | 43 | 11/4/2024 |
0.7.6 | 39 | 11/3/2024 |
0.7.5 | 33 | 11/3/2024 |
0.7.4 | 37 | 11/2/2024 |
0.7.3 | 38 | 10/30/2024 |
0.7.2 | 39 | 10/28/2024 |
0.7.1 | 40 | 10/26/2024 |
0.7.0 | 39 | 10/25/2024 |
0.6.2 | 57 | 10/14/2024 |
0.6.1 | 49 | 10/14/2024 |
0.5.2 | 53 | 10/12/2024 |
0.5.0 | 64 | 9/30/2024 |
0.4.2 | 75 | 9/26/2024 |
0.4.0 | 52 | 9/24/2024 |
0.3.1 | 59 | 9/23/2024 |
0.3.0 | 52 | 9/23/2024 |
0.2.26 | 628 | 5/4/2023 |
0.2.4 | 225 | 4/17/2023 |
0.2.3 | 216 | 4/8/2023 |
0.2.2 | 198 | 4/8/2023 |
0.2.1 | 211 | 4/8/2023 |
0.2.0 | 196 | 4/7/2023 |
0.1.31 | 201 | 4/3/2023 |
0.1.30 | 203 | 3/30/2023 |
0.1.29 | 239 | 3/20/2023 |
0.1.28 | 222 | 3/20/2023 |
0.1.27 | 320 | 1/9/2023 |
0.1.25 | 294 | 1/4/2023 |
0.1.24 | 290 | 12/22/2022 |
0.1.23 | 310 | 12/6/2022 |
0.1.22 | 357 | 11/19/2022 |
0.1.21 | 328 | 11/18/2022 |
0.1.20 | 332 | 11/16/2022 |
0.1.19 | 79 | 11/14/2022 |
0.1.18 | 363 | 11/12/2022 |
0.1.17 | 322 | 11/11/2022 |
0.1.16 | 336 | 11/9/2022 |
0.1.15 | 112 | 11/6/2022 |
0.1.14 | 494 | 5/12/2022 |
0.1.13 | 445 | 4/30/2022 |
0.1.12 | 429 | 4/25/2022 |
0.1.11 | 414 | 4/20/2022 |
0.1.10-beta | 176 | 4/16/2022 |
0.1.1 | 43 | 10/14/2024 |
0.0.1 | 136 | 5/4/2023 |