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193 lines
11 KiB
Markdown
193 lines
11 KiB
Markdown
# QuanTAlib - quantitative technical indicators for Quantower and other C#-based trading platorms
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[](https://sonarcloud.io/summary/overall?id=mihakralj_QuanTAlib)
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[](https://app.codacy.com/gh/mihakralj/QuanTAlib/dashboard)
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[](https://codecov.io/gh/mihakralj/QuanTAlib)
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[](https://sonarcloud.io/summary/new_code?id=mihakralj_QuanTAlib)
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[](https://www.codefactor.io/repository/github/mihakralj/quantalib/overview/main)
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[](https://www.nuget.org/packages/QuanTAlib/)
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[](https://www.nuget.org/packages/QuanTAlib/)
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[](https://github.com/mihakralj/QuanTAlib/watchers)
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[](https://dotnet.microsoft.com/en-us/download/dotnet/7.0)
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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](https://www.quantower.com/) and other C#-based trading platforms.
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**QuanTAlib** is written with some specific design criteria in mind - some reasons why there is '_yet another C# TA library_':
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- Written in native C# - no code conversion from TA-LIB or other imported/converted TA libraries
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- No usage of Decimal datatypes, LINQ, interface abstractions, or static classes with tons of methods (all for performance reasons)
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- 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)
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- 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
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- Usage of events - each data series is an event publisher, each indicator is a subscriber - this allows seamless data flow between indicators)
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- Seamlessly integrates with **Polyglot notebooks** (.NET Interactive) and used in Jupyter notebooks - see the examples and documentation.
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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.
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See [Getting Started](https://github.com/mihakralj/QuanTAlib/blob/main/Docs/getting_started.ipynb) .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.
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## Coverage
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⭐= Calculation is validated against other TA libraries
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✔️= Calculation exists but has no cross-validation tests
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⛔= Not implemented (yet)
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| **BASIC TRANSFORMS** | **QuanTAlib** | **TA-LIB** | **Skender** |
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|--|:--:|:--:|:--:|
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| ✔️ OC2 - (Open+Close)/2 |️ `.OC2` || ️`GetBaseQuote` |
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| ⭐ HL2 - Median Price | `.HL2` | `MEDPRICE` | ️`GetBaseQuote` |
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| ⭐ HLC3 - Typical Price | `.HLC3` | `TYPPRICE` ||
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| ✔️ OHL3 - (Open+High+Low)/3 | `.OHL3` |||
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| ⭐ OHLC4 - Average Price | `.OHLC4` | `AVGPRICE` |️ `GetBaseQuote` |
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| ⭐ HLCC4 - Weighted Price | `.HLCC4` | `WCLPRICE` ||
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| ⭐ MAX - Max value | `MAX_Series` | `MAX` ||
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| ⭐ MIN - Min value | `MIN_Series` | `MIN` ||
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| ⛔ MID - Midpoint value || `MIDPOINT` ||
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| ⛔ MIDP - Midpoint price || `MIDPRICE` ||
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| ⛔ SUM - Summation || `SUM` ||
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| ⭐ ADD - Addition | `ADD_Series` | `ADD` ||
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| ⭐ SUB - Subtraction | `SUB_Series` | `SUB` ||
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| ⭐ MUL - Multiplication | `MUL_Series` | `MUL` ||
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| ⭐ DIV - Division | `DIV_Series` | `DIV` ||
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| **STATISTICS & NUMERICAL ANALYSIS** | **QuanTAlib** | **TA-LIB** | **Skender** |
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| ✔️ BIAS - Bias | BIAS_Series |||
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| ⛔ CORREL - Pearson's Correlation Coefficient || CORREL | GetCorrelation |
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| ⛔ COVAR - Covariance ||| GetCorrelation |
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| ✔️ ENTP - Entropy | ENTP_Series |||
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| ✔️ KURT - Kurtosis | KURT_Series |||
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| ⭐ LINREG - Linear Regression | LINREG_Series || GetSlope |
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| ⭐ MAD - Mean Absolute Deviation | MAD_Series || GetSma |
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| ⭐ MAPE - Mean Absolute Percent Error | MAPE_Series || GetSma |
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| ✔️ MED - Median value | MED_Series |||
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| ✔️ MSE - Mean Squared Error | MSE_Series || GetSma |
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| ⛔ SKEW - Skewness ||||
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| ⭐ SDEV - Standard Deviation (Volatility) | SDEV_Series | STDDEV ||
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| ✔️ SSDEV - Sample Standard Deviation | SSDEV_Series |||
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| ✔️ SMAPE - Symmetric Mean Absolute Percent Error | SMAPE_Series |||
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| ✔️ VAR - Population Variance | VAR_Series | VAR ||
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| ✔️ SVAR - Sample Variance | SVAR_Series |||
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| ⛔ QUANT - Quantile ||||
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| ✔️ WMAPE - Weighted Mean Absolute Percent Error | WMAPE_Series |||
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| ⛔ ZSCORE - Number of standard deviations from mean ||||
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| **TREND INDICATORS & AVERAGES** | **QuanTAlib** | **TA-LIB** | **Skender** |
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| ⛔ AFIRMA - Autoregressive Finite Impulse Response Moving Average ||||
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| ⭐ ALMA - Arnaud Legoux Moving Average | ALMA_Series || GetAlma |
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| ⛔ ARIMA - Autoregressive Integrated Moving Average ||||
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| ⭐ DEMA - Double EMA Average | DEMA_Series | DEMA | GetDema |
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| ⭐ EMA - Exponential Moving Average | EMA_Series || GetEma |
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| ⛔ EPMA - Endpoint Moving Average ||| GetEpma |
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| ⛔ FRAMA - Fractal Adaptive Moving Average ||||
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| ⛔ FWMA - Fibonacci's Weighted Moving Average ||||
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| ⛔ HILO - Gann High-Low Activator ||||
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| ✔️ HEMA - Hull/EMA Average | HEMA_Series |||
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| ⛔ Hilbert Transform Instantaneous Trendline || HT_TRENDLINE | GetHtTrendline |
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| ⭐ HMA - Hull Moving Average | HMA_Series || GetHma |
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| ⛔ HWMA - Holt-Winter Moving Average ||||
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| ✔️ JMA - Jurik Moving Average | JMA_Series |||
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| ⭐ KAMA - Kaufman's Adaptive Moving Average | KAMA_Series | KAMA | GetKama |
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| ⛔ KDJ - KDJ Indicator (trend reversal) ||||
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| ⛔ LSMA - Least Squares Moving Average ||||
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| ⭐ MACD - Moving Average Convergence/Divergence | MACD_Series | MACD | GetMacd |
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| ⛔ MAMA - MESA Adaptive Moving Average || MAMA | GetMama |
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| ⛔ MCGD - McGinley Dynamic ||||
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| ⛔ MMA - Modified Moving Average ||||
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| ⛔ PPMA - Pivot Point Moving Average ||||
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| ⛔ PWMA - Pascal's Weighted Moving Average ||||
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| ✔️ RMA - WildeR's Moving Average | RMA__Series |||
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| ⛔ SINWMA - Sine Weighted Moving Average ||||
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| ⭐ SMA - Simple Moving Average | SMA_Series |||
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| ⭐ SMMA - Smoothed Moving Average | SMMA_Series |||
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| ⛔ SSF - Ehler's Super Smoother Filter ||||
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| ⛔ SUP - Supertrend ||||
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| ⛔ SWMA - Symmetric Weighted Moving Average ||||
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| ⛔ T3 - Tillson T3 Moving Average || T3 | GetT3 |
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| ⭐ TEMA - Triple EMA Average | TEMA_Series | TEMA | GetTema |
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| ⛔ TRIMA - Triangular Moving Average || TRIMA ||
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| ⛔ TSF - Time Series Forecast || TSF ||
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| ⛔ VIDYA - Variable Index Dynamic Average ||||
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| ⛔ VOR - Vortex Indicator ||||
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| ⭐ WMA - Weighted Moving Average | WMA_Series | WMA | GetWma |
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| ✔️ ZLEMA - Zero Lag EMA Average | ZLEMA_Series |||
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| **VOLATILITY INDICATORS** | **QuanTAlib** | **TA-LIB** | **Skender** |
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| ⭐ ADL - Chaikin Accumulation Distribution Line | ADL_Series | AD | GetAdl |
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| ⭐ ADOSC - Chaikin Accumulation Distribution Oscillator | ADOSC_Series | ADOSC| GetAdl |
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| ⭐ ATR - Average True Range | ATR_Series | ATR | GetAtr |
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| ⭐ ATRP - Average True Range Percent | ATRP_Series || GetAtr |
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| ⛔ BETA - Beta coefficient || BETA | GetBeta |
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| ⭐ BBANDS - Bollinger Bands® | BBANDS_Series | BBANDS | GetBollingerBands |
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| ⛔ CHAND - Chandelier Exit ||| GetChandelier |
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| ⛔ CRSI - Connor RSI ||| GetConnorsRsi |
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| ⛔ DON - Donchian Channels ||| GetDonchian |
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| ⛔ FCB - Fractal Chaos Bands ||| GetFcb |
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| ⛔ HV - Historical Volatility ||||
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| ⛔ ICH - Ichimoku ||| GetIchimoku |
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| ⛔ KEL - Keltner Channels ||| GetKeltner |
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| ⛔ NATR - Normalized Average True Range || NATR | GetAtr |
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| ⛔ CHN - Price Channel Indicator ||||
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| ⭐ RSI - Relative Strength Index | RSI_Series | RSI | GetRsi |
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| ⛔ SAR - Parabolic Stop and Reverse || SAR | GetParabolicSar |
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| ⛔ SRSI - Stochastic RSI || STOCHRSI | GetStochRsi |
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| ⛔ STARC - Starc Bands ||||
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| ⭐ TR - True Range | TR_Series | TRANGE | GetTr |
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| ⛔ UI - Ulcer Index ||||
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| ⛔ VSTOP - Volatility Stop ||||
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| **MOMENTUM INDICATORS & OSCILLATORS** | **QuanTAlib** | **TA-LIB** | **Skender** |
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| ⛔ AC - Acceleration Oscillator ||||
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| ⛔ ADX - Average Directional Movement Index || ADX | GetAdx |
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| ⛔ ADXR - Average Directional Movement Index Rating || ADXR | GetAdx |
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| ⛔ AO - Awesome Oscillator ||| GetAwesome |
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| ⛔ APO - Absolute Price Oscillator || APO ||
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| ⛔ AROON - Aroon oscillator || AROON | GetAroon |
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| ⛔ BOP - Balance of Power || BOP | GetBop |
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| ⭐ CCI - Commodity Channel Index | CCI_Series | CCI | GetCci |
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| ⛔ CFO - Chande Forcast Oscillator ||||
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| ⛔ CMO - Chande Momentum Oscillator || CMO | GetCmo |
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| ⛔ COG - Center of Gravity ||||
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| ⛔ COPPOCK - Coppock Curve ||||
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| ⛔ CTI - Ehler's Correlation Trend Indicator ||||
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| ⛔ DPO - Detrended Price Oscillator ||| GetDpo |
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| ⛔ DMI - Directional Movement Index || DX | GetAdx |
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| ⛔ EFI - Elder Ray's Force Index ||| GetElderRay |
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| ⛔ GAT - Alligator oscillator ||| GetGator |
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| ⛔ HURST - Hurst Exponent ||| GetHurst |
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| ⛔ KRI - Kairi Relative Index ||||
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| ⛔ KVO - Klinger Volume Oscillator ||||
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| ⛔ MFI - Money Flow Index || MFI | GetMfi |
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| ⛔ MOM - Momentum || MOM ||
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| ⛔ NVI - Negative Volume Index ||||
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| ⛔ PO - Price Oscillator ||||
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| ⛔ PPO - Percentage Price Oscillator || PPO ||
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| ⛔ PMO - Price Momentum Oscillator ||||
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| ⛔ PVI - Positive Volume Index ||||
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| ⛔ ROC - Rate of Change || MOM | GetRoc |
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| ⛔ RVGI - Relative Vigor Index ||||
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| ⛔ SMI - Stochastic Momentum Index ||||
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| ⛔ STC - Schaff Trend Cycle ||||
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| ⛔ STOCH - Stochastic Oscillator || STOCH | GetStoch |
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| ⛔ TRIX - 1-day ROC of TEMA || TRIX | GetTrix |
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| ⛔ TSI - True Strength Index ||||
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| ⛔ UO - Ultimate Oscillator || ULTOSC | GetUltimate |
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| ⛔ WILLR - Larry Williams' %R || WILLR | GetWilliamsR |
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| ⛔ WGAT - Williams Alligator ||||
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| **VOLUME INDICATORS** | **QuanTAlib** | **TA-LIB** | **Skender** |
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| ⛔ AOBV - Archer On-Balance Volume ||||
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| ⛔ CMF - Chaikin Money Flow ||||
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| ⛔ EOM - Ease of Movement ||||
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| ⛔ OBV - On-Balance Volume || OBV | GetObv |
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| ⛔ PRS - Price Relative Strength |||
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| ⛔ PVOL - Price-Volume ||||
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| ⛔ PVO - Percentage Volume Oscillator ||||
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| ⛔ PVR - Price Volume Rank ||||
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| ⛔ PVT - Price Volume Trend ||||
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| ⛔ VP - Volume Profile ||||
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| ⛔ VWAP - Volume Weighted Average Price ||||
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| ⛔ VWMA - Volume Weighted Moving Average ||||
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