U.S. Dollar/Japanese Yen FXCM
Описание ⋅ 21 окт 2018 г., 22:27 A multitool to find seasonal effects and components in your time series. Seasonality is one of most frequently used statistical patterns to improve the accuracy of demand forecasts. To learn more about seasonality see:Features Ability to see up to 16 period lines 33 metric types Metrics customization 17 types of the price sources31 types of the moving averages Readable and optimized code How to get access Buy for 899$ (One-time payment, Source Code Transfer, Sole ownership) Buy for 349$ (One-time payment, Full-time access, Multi ownership) Make the symbolic monthly donations to support my open source work (Donate-per-use, Part-time access, Multi ownership) Free 7-day trial access Supported Metrics Price Average Price Price Momentum Price ROC True Range (by J. Welles Wilder) Average True Range (by J. Welles Wilder) Double True Range (by Cynthia Kase) Average Double True Range Accumulation/Distribution (by Marc Chaikin) Volume Average Volume Volume Momentum Volume ROC Net Volume On Balance Volume (by Joe Granville) Trade Value Tick Volume Tick Range Max Tick Movement Min Tick Movement Correlation ADX (by J. Welles Wilder) Coppock Curve (by Edwin S. Coppock) Elder Force Index (by Dr. Alexander Elder) Ease Of Movement (by Richard W. Arms) Mass Index (by Donald Dorsey) Price Volume Trend TRIX (by Jack K. Hutson) Ulcer Index (by Peter Martin and Byron McCann) VHF, Vertical Horizontal Filter (by Adam White) Swing Index (by J. Welles Wilder) Accumulative Swing Index (by J. Welles Wilder) Standard Deviation Supported Price Sources open high low close oo2 ((open + previous open) / 2 ) oh2 ((open + high) / 2 ) ol2 ((open + low) / 2 ) oc2 ((open + close) / 2 ) hh2 ((high + previous high) / 2 ) hl2 hc2 ((high + close) / 2 ) ll2 ((low + previous low) / 2 ) lc2 ((low + close) / 2 ) cc2 ((close + previous close) / 2 ) hlc3 ohlc4 wc (weighted close, (2 * close + high + low) / 4 ) Supported Moving Averages AHMA, Ahrens MA (by Richard D. Ahrens) ALF, Adaptive Laguerre Filter (by John F. Ehlers) DEMA, Double Exponential MA (by Patrick G. Mulloy) EMA, Exponential MA EVWMA, Elastic Volume Weighted MA (by Christian P. Fries) FRAMA, Fractal Adaptive MA (by John F. Ehlers) HMA, Hull MA (by Alan Hull) IIRF, Infinite Impulse Response Filter (by John F. Ehlers) LSMA, Least Squares MA LWMA, Linear Weighted MA Median RMA, Running MA (by J. Welles Wilder) RMF, Recursive Median Filter (by John F. Ehlers) RMTA, Recursive Moving Trend Average (by Dennis Meyers) SMA, Simple MA SHMMA, Sharp Modified MA (by Joe Sharp) SMMA, Smoothed MA TEMA, Triple Exponential MA (by Patrick G. Mulloy) TMA, Triangular MA (Modified by John F. Ehlers) VIDYA, Variable Index Dynamic Average (by Tushar S. Chande) VWMA, Volume Weighted MA WMA, Weighted MA ZLEMA, Zero Lag Exponential MA (by John F. Ehlers and Ric Way) 2-Pole BF, 2-Pole Butterworth Filter (by John F. Ehlers) 3-Pole BF, 2-Pole Butterworth Filter (by John F. Ehlers) 2-Pole SSF, 2-Pole Super Smoother Filter (by John F. Ehlers) 3-Pole SSF, 2-Pole Super Smoother Filter (by John F. Ehlers) 1-Pole GF, 1-Pole Gaussian Filter (by John F. Ehlers) 2-Pole GF, 2-Pole Gaussian Filter (by John F. Ehlers) 3-Pole GF, 3-Pole Gaussian Filter (by John F. Ehlers) 4-Pole GF, 4-Pole Gaussian Filter (by John F. Ehlers)
Информация о релизе ⋅ 31 янв 2019 г., 21:53
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Alex