jhTAlib

title	author	date
jhTAlib	Joost Hoeks	2019-03-17

jhTAlib

Technical Analysis Library Time-Series

You can use and import it for your:

Technical Analysis Software
Charting Software
Backtest Software
Trading Robot Software
Trading Software in general

Work in progress...

Depends only on

The Python Standard Library

Docs

Install

From PyPI:

$ [sudo] pip3 install jhtalib

From source:

$ git clone https://github.com/joosthoeks/jhTAlib.git
$ cd jhTAlib
$ [sudo] pip3 install -e .

Update

From PyPI:

$ [sudo] pip3 install --upgrade jhtalib

From source:

$ cd jhTAlib
$ git pull [upstream master]

Examples

$ cd example/

Example 1

$ python3 example-1-plot.py

or

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-1-plot.ipynb

Example 2

$ python3 example-2-plot.py

or

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-2-plot.ipynb

Example 3

$ python3 example-3-plot.py

or

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-3-plot.ipynb

Example 4

$ python3 example-4-plot-quandl.py

or

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-4-plot-quandl.ipynb

Example 5

$ python3 example-5-plot-quandl.py

or

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-5-plot-quandl.ipynb

Example 6

$ python3 example-6-plot-quandl.py

or

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-6-plot-quandl.ipynb

Example 7

$ python3 example-7-quandl-2-df.py

or

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-7-quandl-2-df.ipynb

Example 8

$ python3 example-8-alphavantage-2-df.py

or

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-8-alphavantage-2-df.ipynb

Example 9

$ python3 example-9-cryptocompare-2-df.py

or

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-9-cryptocompare-2-df.ipynb

Example 10

DF NumPy Pandas

https://colab.research.google.com/github/joosthoeks/jhTAlib/blob/master/example/example-10-df-numpy-pandas.ipynb

Test

$ cd test/
$ python3 test.py

Reference

import jhtalib as jhta

Behavioral Techniques

ATH | All Time High | DONE

dict of lists = jhta.ATH(df, price='High')

LMC | Last Major Correction | DONE

dict of lists = jhta.LMC(df, price='Low')

PP | Pivot Point | DONE

dict of lists = jhta.PP(df)
https://en.wikipedia.org/wiki/Pivot_point_(technical_analysis)

FIBOPR | Fibonacci Price Retracements | DONE

dict of lists = jhta.FIBOPR(df, price='Close')

FIBTR | Fibonacci Time Retracements |

GANNPR | W. D. Gann Price Retracements | DONE

dict of lists = jhta.GANNPR(df, price='Close')

GANNTR | W. D. Gann Time Retracements |

JDN | Julian Day Number | DONE

jdn = jhta.JDN(utc_year, utc_month, utc_day)
https://en.wikipedia.org/wiki/Julian_day

JD | Julian Date | DONE

jd = jhta.JD(utc_year, utc_month, utc_day, utc_hour, utc_minute, utc_second)
https://en.wikipedia.org/wiki/Julian_day

SUNC | Sun Cycle |

MERCURYC | Mercury Cycle |

VENUSC | Venus Cycle |

EARTHC | Earth Cycle |

MARSC | Mars Cycle |

JUPITERC | Jupiter Cycle |

SATURNC | Saturn Cycle |

URANUSC | Uranus Cycle |

NEPTUNEC | Neptune Cycle |

PLUTOC | Pluto Cycle |

MOONC | Moon Cycle |

Cycle Indicators

HT_DCPERIOD | Hilbert Transform - Dominant Cycle Period |

HT_DCPHASE | Hilbert Transform - Dominant Cycle Phase |

HT_PHASOR | Hilbert Transform - Phasor Components |

HT_SINE | Hilbert Transform - SineWave |

HT_TRENDLINE | Hilbert Transform - Instantaneous Trendline |

HT_TRENDMODE | Hilbert Transform - Trend vs Cycle Mode |

TS | Trend Score | DONE

list = jhta.TS(df, n, price='Close')
https://www.fmlabs.com/reference/default.htm?url=TrendScore.htm

Data

CSV2DF | CSV file 2 DataFeed | DONE

dict of tuples = jhta.CSV2DF(csv_file_path)

CSVURL2DF | CSV file url 2 DataFeed | DONE

dict of tuples = jhta.CSVURL2DF(csv_file_url)

DF2CSV | DataFeed 2 CSV file | DONE

csv file = jhta.DF2CSV(df, csv_file_path)

DF2DFREV | DataFeed 2 DataFeed Reversed | DONE

dict of tuples = jhta.DF2DFREV(df)

DF2DFWIN | DataFeed 2 DataFeed Window | DONE

dict of tuples = jhta.DF2DFWIN(df, start=0, end=10)

DF_HEAD | DataFeed HEAD | DONE

dict of tuples = jhta.DF_HEAD(df, n=5)

DF_TAIL | DataFeed TAIL | DONE

dict of tuples = jhta.DF_TAIL(df, n=5)

DF2HEIKIN_ASHI | DataFeed 2 Heikin-Ashi DataFeed | DONE

dict of tuples = jhta.DF2HEIKIN_ASHI(df)

Event Driven

ASI | Accumulation Swing Index (J. Welles Wilder) | DONE

list = jhta.ASI(df, L)
book: New Concepts in Technical Trading Systems

SI | Swing Index (J. Welles Wilder) | DONE

list = jhta.SI(df, L)
book: New Concepts in Technical Trading Systems

Experimental

JH_SAVGP | Swing Average Price - previous Average Price | DONE

list = jhta.JH_SAVGP(df)

JH_SAVGPS | Swing Average Price - previous Average Price Summation | DONE

list = jhta.JH_SAVGPS(df)

JH_SCO | Swing Close - Open | DONE

list = jhta.JH_SCO(df)

JH_SCOS | Swing Close - Open Summation | DONE

list = jhta.JH_SCOS(df)

JH_SMEDP | Swing Median Price - previous Median Price | DONE

list = jhta.JH_SMEDP(df)

jh_SMEDPS | Swing Median Price - previous Median Price Summation | DONE

list = jhta.JH_SMEDPS(df)

JH_SPP | Swing Price - previous Price | DONE

list = jhta.JH_SPP(df, price='Close')

JH_SPPS | Swing Price - previous Price Summation | DONE

list = jhta.JH_SPPS(df, price='Close')

JH_STYPP | Swing Typical Price - previous Typical Price | DONE

list = jhta.JH_STYPP(df)

JH_STYPPS | Swing Typical Price - previous Typical Price Summation | DONE

list = jhta.JH_STYPPS(df)

JH_SWCLP | Swing Weighted Close Price - previous Weighted Close Price | DONE

list = jhta.JH_SWCLP(df)

JH_SWCLPS | Swing Weighted Close Price - previous Weighted Close Price Summation | DONE

list = jhta.JH_SWCLPS(df)

General

NORMALIZE | Normalize | DONE

list = jhta.NORMALIZE(df, price_max='High', price_min='Low', price='Close')
https://machinelearningmastery.com/normalize-standardize-time-series-data-python/

STANDARDIZE | Standardize | DONE

list = jhta.STANDARDIZE(df, price='Close')
https://machinelearningmastery.com/normalize-standardize-time-series-data-python/

SPREAD | Spread | DONE

list = jhta.SPREAD(df1, df2, price1='Close', price2='Close')

CP | Comparative Performance | DONE

list = jhta.CP(df1, df2, price1='Close', price2='Close')
https://www.fmlabs.com/reference/default.htm?url=CompPerformance.htm

CRSI | Comparative Relative Strength Index | DONE

list = jhta.CRSI(df1, df2, n, price1='Close', price2='Close')
https://www.fmlabs.com/reference/default.htm?url=RSIC.htm

CS | Comparative Strength | DONE

list = jhta.CS(df1, df2, price1='Close', price2='Close')
https://www.fmlabs.com/reference/default.htm?url=CompStrength.htm

HR | Hit Rate / Win Rate | DONE

float = jhta.HR(hit_trades_int, total_trades_int)
http://traderskillset.com/hit-rate-stock-trading/

PLR | Profit/Loss Ratio | DONE

float = jhta.PLR(mean_trade_profit_float, mean_trade_loss_float)
https://www.investopedia.com/terms/p/profit_loss_ratio.asp

EV | Expected Value | DONE

float = jhta.EV(hitrade_float, mean_trade_profit_float, mean_trade_loss_float)
https://en.wikipedia.org/wiki/Expected_value

POR | Probability of Ruin (Table of Lucas and LeBeau) | DONE

int = jhta.POR(hitrade_float, profit_loss_ratio_float)
book: Computer Analysis of the Futures Markets

Information

INFO | Print df Information | DONE

print = jhta.INFO(df, price='Close')

INFO_TRADES | Print Trades Information | DONE

print = jhta.INFO_TRADES(profit_trades_list, loss_trades_list)

Math Functions

EXP | Exponential | DONE

list = jhta.EXP(df, price='Close')

LOG | Logarithm | DONE

list = jhta.LOG(df, price='Close')

LOG10 | Base-10 Logarithm | DONE

list = jhta.LOG10(df, price='Close')

SQRT | Square Root | DONE

list = jhta.SQRT(df, price='Close')

ACOS | Arc Cosine | DONE

list = jhta.ACOS(df, price='Close')

ASIN | Arc Sine | DONE

list = jhta.ASIN(df, price='Close')

ATAN | Arc Tangent | DONE

list = jhta.ATAN(df, price='Close')

COS | Cosine | DONE

list = jhta.COS(df, price='Close')

SIN | Sine | DONE

list = jhta.SIN(df, price='Close')

TAN | Tangent | DONE

list = jhta.TAN(df, price='Close')

ACOSH | Inverse Hyperbolic Cosine | DONE

list = jhta.ACOSH(df, price='Close')

ASINH | Inverse Hyperbolic Sine | DONE

list = jhta.ASINH(df, price='Close')

ATANH | Inverse Hyperbolic Tangent | DONE

list = jhta.ATANH(df, price='Close')

COSH | Hyperbolic Cosine | DONE

list = jhta.COSH(df, price='Close')

SINH | Hyperbolic Sine | DONE

list = jhta.SINH(df, price='Close')

TANH | Hyperbolic Tangent | DONE

list = jhta.TANH(df, price='Close')

PI | Mathematical constant PI | DONE

float = jhta.PI()

E | Mathematical constant E | DONE

float = jhta.E()

TAU | Mathematical constant TAU | DONE

float = jhta.TAU()

PHI | Mathematical constant PHI | DONE

float = jhta.PHI()

CEIL | Ceiling | DONE

list = jhta.CEIL(df, price='Close')

FLOOR | Floor | DONE

list = jhta.FLOOR(df, price='Close')

DEGREES | Radians to Degrees | DONE

list = jhta.DEGREES(df, price='Close')

RADIANS | Degrees to Radians | DONE

list = jhta.RADIANS(df, price='Close')

ADD | Addition High + Low | DONE

list = jhta.ADD(df)

DIV | Division High / Low | DONE

list = jhta.DIV(df)

MAX | Highest value over a specified period | DONE

list = jhta.MAX(df, n, price='Close')

MAXINDEX | Index of highest value over a specified period |

MIN | Lowest value over a specified period | DONE

list = jhta.MIN(df, n, price='Close')

MININDEX | Index of lowest value over a specified period |

MINMAX | Lowest and Highest values over a specified period |

MINMAXINDEX | Indexes of lowest and highest values over a specified period |

MULT | Multiply High * Low | DONE

list = jhta.MULT(df)

SUB | Subtraction High - Low | DONE

list = jhta.SUB(df)

SUM | Summation | DONE

list = jhta.SUM(df, n, price='Close')

Momentum Indicators

ADX | Average Directional Movement Index |

ADXR | Average Directional Movement Index Rating |

APO | Absolute Price Oscillator | DONE

list = jhta.APO(df, n_fast, n_slow, price='Close')
https://www.fmlabs.com/reference/default.htm?url=PriceOscillator.htm

AROON | Aroon |

AROONOSC | Aroon Oscillator |

BOP | Balance Of Power |

CCI | Commodity Channel Index |

CMO | Chande Momentum Oscillator |

DX | Directional Movement Index |

IMI | Intraday Momentum Index | DONE

list = jhta.IMI(df)
https://www.fmlabs.com/reference/default.htm?url=IMI.htm

MACD | Moving Average Convergence/Divergence |

MACDEXT | MACD with controllable MA type |

MACDFIX | Moving Average Convergence/Divergence Fix 12/26 |

MFI | Money Flow Index |

MINUS_DI | Minus Directional Indicator |

MINUS_DM | Minus Directional Movement |

MOM | Momentum | DONE

list = jhta.MOM(df, n, price='Close')
https://www.fmlabs.com/reference/default.htm?url=Momentum.htm

PLUS_DI | Plus Directional Indicator |

PLUS_DM | Plus Directional Movement |

PPO | Percentage Price Oscillator |

ROC | Rate of Change | DONE

list = jhta.ROC(df, n, price='Close')

ROCP | Rate of Change Percentage | DONE

list = jhta.ROCP(df, n, price='Close')

ROCR | Rate of Change Ratio | DONE

list = jhta.ROCR(df, n, price='Close')

STOCHF | Stochastic Fast |

STOCHRSI | Stochastic Relative Strength Index |

TRIX | 1-day Rate-Of-Change (ROC) of a Triple Smooth EMA |

ULTOSC | Ultimate Oscillator |

WILLR | Williams' %R | DONE

list = jhta.WILLR(df, n)
https://www.fmlabs.com/reference/default.htm?url=WilliamsR.htm

Overlap Studies

BBANDS | Bollinger Bands | DONE

dict of lists = jhta.BBANDS(df, n, f=2)
https://www.fmlabs.com/reference/default.htm?url=Bollinger.htm

BBANDW | Bollinger Band Width | DONE

list = jhta.BBANDW(df, n, f=2)
https://www.fmlabs.com/reference/default.htm?url=BollingerWidth.htm

DEMA | Double Exponential Moving Average |

EMA | Exponential Moving Average |

ENVP | Envelope Percent | DONE

dict of lists = jhta.ENVP(df, pct=.01, price='Close')
https://www.fmlabs.com/reference/default.htm?url=EnvelopePct.htm

KAMA | Kaufman Adaptive Moving Average |

MA | Moving Average |

MAMA | MESA Adaptive Moving Average |

MAVP | Moving Average with Variable Period |

MIDPOINT | MidPoint over period | DONE

list = jhta.MIDPOINT(df, n, price='Close')
http://www.tadoc.org/indicator/MIDPOINT.htm

MIDPRICE | MidPoint Price over period | DONE

list = jhta.MIDPRICE(df, n)
http://www.tadoc.org/indicator/MIDPRICE.htm

MMR | Mayer Multiple Ratio | DONE

list = jhta.MMR(df, n=200, price='Close')
https://www.theinvestorspodcast.com/bitcoin-mayer-multiple/

SAR | Parabolic SAR | DONE

list = jhta.SAR(df, af_step=.02, af_max=.2)
book: New Concepts in Technical Trading Systems

SAREXT | Parabolic SAR - Extended |

SMA | Simple Moving Average | DONE

list = jhta.SMA(df, n, price='Close')
https://www.fmlabs.com/reference/default.htm?url=SimpleMA.htm

T3 | Triple Exponential Moving Average (T3) |

TEMA | Triple Exponential Moving Average |

TRIMA | Triangular Moving Average | DONE

list = jhta.TRIMA(df, n, price='Close')
https://www.fmlabs.com/reference/default.htm?url=TriangularMA.htm

WMA | Weighted Moving Average

Pattern Recognition

CDL2CROWS | Two Crows |

CDL3BLACKCROWS | Three Black Crows |

CDL3INSIDE | Three Inside Up/Down |

CDL3LINESTRIKE | Three-Line Strike |

CDL3OUTSIDE | Three Outside Up/Down |

CDL3STARSINSOUTH | Three Stars In The South |

CDL3WHITESOLDIERS | Three Advancing White Soldiers |

CDLABANDONEDBABY | Abandoned Baby |

CDLADVANCEBLOCK | Advance Block |

CDLBELTHOLD | Belt-hold |

CDLBREAKAWAY | Breakaway |

CDLCLOSINGMARUBOZU | Closing Marubozu |

CDLCONSEALBABYSWALL | Concealing Baby Swallow |

CDLCOUNTERATTACK | Counterattack |

CDLDARKCLOUDCOVER | Dark Cloud Cover |

CDLDOJI | Doji |

CDLDOJISTAR | Doji Star |

CDLDRAGONFLYDOJI | Dragonfly Doji |

CDLENGULFING | Engulfing Pattern |

CDLEVENINGDOJISTAR | Evening Doji Star |

CDLEVENINGSTAR | Evening Star |

CDLGAPSIDESIDEWHITE | Up/Down-gap side-by-side white lines |

CDLGRAVESTONEDOJI | Gravestone Doji |

CDLHAMMER | Hammer |

CDLHANGINGMAN | Hanging Man |

CDLHARAMI | Harami Pattern |

CDLHARAMICROSS | Harami Cross Pattern |

CDLHIGHWAVE | High-Wave Candle |

CDLHIKKAKE | Hikkake Pattern |

CDLHIKKAKEMOD | Modified Hikkake Pattern |

CDLHOMINGPIGEON | Homing Pigeon |

CDLIDENTICAL3CROWS | Identical Three Crows |

CDLINNECK | In-Neck Pattern |

CDLINVERTEDHAMMER | Inverted Hammer |

CDLKICKING | Kicking |

CDLKICKINGBYLENGTH | Kicking - bull/bear determined by the longer marubozu |

CDLLADDERBOTTOM | Ladder Bottom |

CDLLONGLEGGEDDOJI | Long Legged Doji |

CDLLONGLINE | Long Line Candle |

CDLMARUBOZU | Marubozu |

CDLMATCHINGLOW | Matching Low |

CDLMATHOLD | Mat Hold |

CDLMORNINGDOJISTAR | Morning Doji Star |

CDLMORNINGSTAR | Morning Star |

CDLONNECK | On-Neck Pattern |

CDLPIERCING | Piercing Pattern |

CDLRICKSHAWMAN | Rickshaw Man |

CDLRISEFALL3METHODS | Rising/Falling Three Methods |

CDLSEPARATINGLINES | Separating Lines |

CDLSHOOTINGSTAR | Shooting Star |

CDLSHORTLINE | Short Line Candle |

CDLSPINNINGTOP | Spinning Top |

CDLSTALLEDPATTERN | Stalled Pattern |

CDLSTICKSANDWICH | Stick Sandwich |

CDLTAKURI | Takuri (Dragonfly Doji with very long lower shadow) |

CDLTASUKIGAP | Tasuki Gap |

CDLTHRUSTING | Thrusting Pattern |

CDLTRISTAR | Tristar Pattern |

CDLUNIQUE3RIVER | Unique 3 River |

CDLUPSIDEGAP2CROWS | Upside Gap Two Crows |

CDLXSIDEGAP3METHODS | Upside/Downside Gap Three Methods |

Price Transform

AVGPRICE | Average Price | DONE

list = jhta.AVGPRICE(df)
https://www.fmlabs.com/reference/default.htm?url=AvgPrices.htm

MEDPRICE | Median Price | DONE

list = jhta.MEDPRICE(df)
https://www.fmlabs.com/reference/default.htm?url=MedianPrices.htm

TYPPRICE | Typical Price | DONE

list = jhta.TYPPRICE(df)
https://www.fmlabs.com/reference/default.htm?url=TypicalPrices.htm

WCLPRICE | Weighted Close Price | DONE

list = jhta.WCLPRICE(df)
https://www.fmlabs.com/reference/default.htm?url=WeightedCloses.htm

Statistic Functions

MEAN | Arithmetic mean (average) of data | DONE

list = jhta.MEAN(df, n, price='Close')

HARMONIC_MEAN | Harmonic mean of data | DONE

list = jhta.HARMONIC_MEAN(df, n, price='Close')

MEDIAN | Median (middle value) of data | DONE

list = jhta.MEDIAN(df, n, price='Close')

MEDIAN_LOW | Low median of data | DONE

list = jhta.MEDIAN_LOW(df, n, price='Close')

MEDIAN_HIGH | High median of data | DONE

list = jhta.MEDIAN_HIGH(df, n, price='Close')

MEDIAN_GROUPED | Median, or 50th percentile, of grouped data | DONE

list = jhta.MEDIAN_GROUPED(df, n, price='Close', interval=1)

MODE | Mode (most common value) of discrete data | DONE

list = jhta.MODE(df, n, price='Close')

PSTDEV | Population standard deviation of data | DONE

list = jhta.PSTDEV(df, n, price='Close', mu=None)

PVARIANCE | Population variance of data | DONE

list = jhta.PVARIANCE(df, n, price='Close', mu=None)

STDEV | Sample standard deviation of data | DONE

list = jhta.STDEV(df, n, price='Close', xbar=None)

VARIANCE | Sample variance of data | DONE

list = jhta.VARIANCE(df, n, price='Close', xbar=None)

COV | Covariance | DONE

float = jhta.COV(list1, list2)
https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Covariance

COVARIANCE | Covariance | DONE

list = jhta.COVARIANCE(df1, df2, n, price1='Close', price2='Close')
https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Covariance

COR | Correlation | DONE

float = jhta.COR(list1, list2)

CORRELATION | Correlation | DONE

list = jhta.CORRELATION(df1, df2, n, price1='Close', price2='Close')

PCOR | Population Correlation | DONE

float = jhta.PCOR(list1, list2)

PCORRELATION | Population Correlation | DONE

list = jhta.PCORRELATION(df1, df2, n, price1='Close', price2='Close')

BETA | Beta | DONE

float = jhta.BETA(list1, list2)
https://en.wikipedia.org/wiki/Beta_(finance)

BETAS | Betas | DONE

list = jhta.BETAS(df1, df2, n, price1='Close', price2='Close')
https://en.wikipedia.org/wiki/Beta_(finance)

LSR | Least Squares Regression | DONE

list = jhta.LSR(df, price='Close', predictions_int=0)
https://www.mathsisfun.com/data/least-squares-regression.html

SLR | Simple Linear Regression | DONE

list = jhta.SLR(df, price='Close', predictions_int=0)
https://machinelearningmastery.com/implement-simple-linear-regression-scratch-python/

Name		Name	Last commit message	Last commit date
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.github/ISSUE_TEMPLATE		.github/ISSUE_TEMPLATE
docs		docs
example		example
jhtalib		jhtalib
test		test
.gitignore		.gitignore
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
PULL_REQUEST_TEMPLATE.md		PULL_REQUEST_TEMPLATE.md
README.md		README.md
setup.py		setup.py

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jhTAlib

Depends only on

Docs

Install

Update

Examples

Example 1

Example 2

Example 3

Example 4

Example 5

Example 6

Example 7

Example 8

Example 9

Example 10

Test

Reference

ATH | All Time High | DONE

LMC | Last Major Correction | DONE

PP | Pivot Point | DONE

FIBOPR | Fibonacci Price Retracements | DONE

FIBTR | Fibonacci Time Retracements |

GANNPR | W. D. Gann Price Retracements | DONE

GANNTR | W. D. Gann Time Retracements |

JDN | Julian Day Number | DONE

JD | Julian Date | DONE

SUNC | Sun Cycle |

MERCURYC | Mercury Cycle |

VENUSC | Venus Cycle |

EARTHC | Earth Cycle |

MARSC | Mars Cycle |

JUPITERC | Jupiter Cycle |

SATURNC | Saturn Cycle |

URANUSC | Uranus Cycle |

NEPTUNEC | Neptune Cycle |

PLUTOC | Pluto Cycle |

MOONC | Moon Cycle |

HT_DCPERIOD | Hilbert Transform - Dominant Cycle Period |

HT_DCPHASE | Hilbert Transform - Dominant Cycle Phase |

HT_PHASOR | Hilbert Transform - Phasor Components |

HT_SINE | Hilbert Transform - SineWave |

HT_TRENDLINE | Hilbert Transform - Instantaneous Trendline |

HT_TRENDMODE | Hilbert Transform - Trend vs Cycle Mode |

TS | Trend Score | DONE

CSV2DF | CSV file 2 DataFeed | DONE

CSVURL2DF | CSV file url 2 DataFeed | DONE

DF2CSV | DataFeed 2 CSV file | DONE

DF2DFREV | DataFeed 2 DataFeed Reversed | DONE

DF2DFWIN | DataFeed 2 DataFeed Window | DONE

DF_HEAD | DataFeed HEAD | DONE

DF_TAIL | DataFeed TAIL | DONE

DF2HEIKIN_ASHI | DataFeed 2 Heikin-Ashi DataFeed | DONE

ASI | Accumulation Swing Index (J. Welles Wilder) | DONE

SI | Swing Index (J. Welles Wilder) | DONE

JH_SAVGP | Swing Average Price - previous Average Price | DONE

JH_SAVGPS | Swing Average Price - previous Average Price Summation | DONE

JH_SCO | Swing Close - Open | DONE

JH_SCOS | Swing Close - Open Summation | DONE

JH_SMEDP | Swing Median Price - previous Median Price | DONE

jh_SMEDPS | Swing Median Price - previous Median Price Summation | DONE

JH_SPP | Swing Price - previous Price | DONE

JH_SPPS | Swing Price - previous Price Summation | DONE

JH_STYPP | Swing Typical Price - previous Typical Price | DONE

JH_STYPPS | Swing Typical Price - previous Typical Price Summation | DONE

JH_SWCLP | Swing Weighted Close Price - previous Weighted Close Price | DONE

JH_SWCLPS | Swing Weighted Close Price - previous Weighted Close Price Summation | DONE

NORMALIZE | Normalize | DONE

STANDARDIZE | Standardize | DONE

SPREAD | Spread | DONE

CP | Comparative Performance | DONE

CRSI | Comparative Relative Strength Index | DONE

CS | Comparative Strength | DONE

HR | Hit Rate / Win Rate | DONE