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loxxmas - moving averages used in Loxx's indis & stratsLibrary "loxxmas" TODO:loxx moving averages used in indicators kama(src, len, kamafastend, kamaslowend)   KAMA Kaufman adaptive moving average   Parameters:      src : float      len : int      kamafastend : int      kamaslowend : int   Returns: array ama(src, len, fl, sl)   AMA, adaptive moving average   Parameters:      src : float      len : int      fl : int      sl : int   Returns: array t3(src, len)   T3 moving average, adaptive moving average   Parameters:      src : float      len : int   Returns: array adxvma(src, len)   ADXvma - Average Directional Volatility Moving Average   Parameters:      src : float      len : int   Returns: array ahrma(src, len)   Ahrens Moving Average   Parameters:      src : float      len : int   Returns: array alxma(src, len)   Alexander Moving Average - ALXMA   Parameters:      src : float      len : int   Returns: array dema(src, len)   Double Exponential Moving Average - DEMA   Parameters:      src : float      len : int   Returns: array dsema(src, len)   Double Smoothed Exponential Moving Average - DSEMA   Parameters:      src : float      len : int   Returns: array ema(src, len)   Exponential Moving Average - EMA   Parameters:      src : float      len : int   Returns: array fema(src, len)   Fast Exponential Moving Average - FEMA   Parameters:      src : float      len : int   Returns: array hma(src, len)   Hull moving averge   Parameters:      src : float      len : int   Returns: array ie2(src, len)   Early T3 by Tim Tilson   Parameters:      src : float      len : int   Returns: array frama(src, len, FC, SC)   Fractal Adaptive Moving Average - FRAMA   Parameters:      src : float      len : int      FC : int      SC : int   Returns: array instant(src, float)   Instantaneous Trendline   Parameters:      src : float      float : alpha   Returns: array ilrs(src, int)   Integral of Linear Regression Slope - ILRS   Parameters:      src : float      int : len   Returns: array laguerre(src, float)   Laguerre Filter   Parameters:      src : float      float : alpha   Returns: array leader(src, int)   Leader Exponential Moving Average   Parameters:      src : float      int : len   Returns: array lsma(src, int, int)   Linear Regression Value - LSMA (Least Squares Moving Average)   Parameters:      src : float      int : len      int : offset   Returns: array lwma(src, int)   Linear Weighted Moving Average - LWMA   Parameters:      src : float      int : len   Returns: array mcginley(src, int)   McGinley Dynamic   Parameters:      src : float      int : len   Returns: array mcNicholl(src, int)   McNicholl EMA   Parameters:      src : float      int : len   Returns: array nonlagma(src, int)   Non-lag moving average   Parameters:      src : float      int : len   Returns: array pwma(src, int, float)   Parabolic Weighted Moving Average   Parameters:      src : float      int : len      float : pwr   Returns: array rmta(src, int)   Recursive Moving Trendline   Parameters:      src : float      int : len   Returns: array decycler(src, int)   Simple decycler - SDEC   Parameters:      src : float      int : len   Returns: array sma(src, int)   Simple Moving Average   Parameters:      src : float      int : len   Returns: array swma(src, int)   Sine Weighted Moving Average   Parameters:      src : float      int : len   Returns: array slwma(src, int)   linear weighted moving average   Parameters:      src : float      int : len   Returns: array smma(src, int)   Smoothed Moving Average - SMMA   Parameters:      src : float      int : len   Returns: array super(src, int)   Ehlers super smoother   Parameters:      src : float      int : len   Returns: array smoother(src, int)   Smoother filter   Parameters:      src : float      int : len   Returns: array tma(src, int)   Triangular moving average - TMA   Parameters:      src : float      int : len   Returns: array tema(src, int)   Tripple exponential moving average - TEMA   Parameters:      src : float      int : len   Returns: array vwema(src, int)   Volume weighted ema - VEMA   Parameters:      src : float      int : len   Returns: array vwma(src, int)   Volume weighted moving average - VWMA   Parameters:      src : float      int : len   Returns: array zlagdema(src, int)   Zero-lag dema   Parameters:      src : float      int : len   Returns: array zlagma(src, int)   Zero-lag moving average   Parameters:      src : float      int : len   Returns: array zlagtema(src, int)   Zero-lag tema   Parameters:      src : float      int : len   Returns: array threepolebuttfilt(src, int)   Three-pole Ehlers Butterworth   Parameters:      src : float      int : len   Returns: array threepolesss(src, int)   Three-pole Ehlers smoother   Parameters:      src : float      int : len   Returns: array twopolebutter(src, int)   Two-pole Ehlers Butterworth   Parameters:      src : float      int : len   Returns: array twopoless(src, int)   Two-pole Ehlers smoother   Parameters:      src : float      int : len   Returns: array
Pine Script® 라이브러리
loxx의
4
Moving Average Filters Add-on w/ Expanded Source Types [Loxx]Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read about the expanded source types clicking here . About half of these moving averages are closed source on other trading platforms. This indicator serves as a reference point for future public/private, open/closed source indicators that I publish to TradingView. Information about these moving averages was gleaned from various forex and trading forums and platforms as well as TASC publications and other assorted research publications. ________________________________________________________________ Included moving averages ADXvma - Average Directional Volatility Moving Average Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator. The ADXvma has the SMA in Chande's CMO replaced with an EMA, it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated. A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA. The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move. Ahrens Moving Average Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows. Alexander Moving Average - ALXMA This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile. Double Exponential Moving Average - DEMA The Double Exponential Moving Average (DEMA) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag. Double Smoothed Exponential Moving Average - DSEMA The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA. It's also considered a leading indicator compared to the EMA, and is best utilized whenever smoothness and speed of reaction to market changes are required. Exponential Moving Average - EMA The EMA places more significance on recent data points and moves closer to price than the SMA (Simple Moving Average). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA. Fast Exponential Moving Average - FEMA An Exponential Moving Average with a short look-back period. Fractal Adaptive Moving Average - FRAMA The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry. Hull Moving Average - HMA Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. IE/2 - Early T3 by Tim Tilson The IE/2 is a Moving Average that uses Linear Regression slope in its calculation to help with smoothing. It's a worthy Moving Average on it's own, even though it is the precursor and very early version of the famous "T3 Indicator". Integral of Linear Regression Slope - ILRS A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA (Simple Moving Average) of length N, which is actually the midpoint of the linear regression line as it moves across the data. Instantaneous Trendline The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading. Laguerre Filter The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation. Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness. Leader Exponential Moving Average The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter. Linear Regression Value - LSMA (Least Squares Moving Average) LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down. Linear Weighted Moving Average - LWMA LWMA reacts to price quicker than the SMA and EMA. Although it's similar to the Simple Moving Average, the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion. McGinley Dynamic John McGinley created this Moving Average to track price better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets. McNicholl EMA Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws. Non lag moving average The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals. Parabolic Weighted Moving Average The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average. The Linear Weighted Moving Average calculates the average by assigning different weight to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator. Recursive Moving Trendline Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrows price. Simple Moving Average - SMA The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA. Sine Weighted Moving Average The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average). Smoothed Moving Average - SMMA The Smoothed Moving Average is similar to the Simple Moving Average (SMA), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen a an accurate yet laggy Moving Average. Smoother The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA (Smoothed Moving Average). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm. Super Smoother The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence. Three pole Ehlers Butterworth The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA. They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing. Three pole Ehlers smoother The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth. Triangular Moving Average - TMA The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data. The TMA and Sine Weighted Moving Average Filter are almost identical at times. Triple Exponential Moving Average - TEMA The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, it's signals are considered very noisy and should only be used in extremely fast-paced trading conditions. Two pole Ehlers Butterworth The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded. Two pole Ehlers smoother A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers. Volume Weighted EMA - VEMA Utilizing tick volume in MT4 (or real volume in MT5), this EMA will use the Volume reading in its decision to plot its moves. The more Volume it detects on a move, the more authority (confirmation) it has. And this EMA uses those Volume readings to plot its movements. Studies show that tick volume and real volume have a very strong correlation, so using this filter in MT4 or MT5 produces very similar results and readings. Zero Lag DEMA - Zero Lag Double Exponential Moving Average John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence. Zero Lag Moving Average The Zero Lag Moving Average is described by its creator, John Ehlers, as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average. Zero Lag TEMA - Zero Lag Triple Exponential Moving Average Just like the Zero Lag DEMA, this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators. ________________________________________________________________ What are Heiken Ashi "better" candles? The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.) They proposed to use the following: (Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2)) instead of using : haClose = (O+H+L+C)/4 According to that document the HA representation using their proposed formula is better than the traditional formula. What are traditional Heiken-Ashi candles? The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise. Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data. Expanded generic source types: Close = close Open = open High = high Low = low Median = hl2 Typical = hlc3 Weighted = hlcc4 Average = ohlc4 Average Median Body = (open+close)/2 Trend Biased = (see code, too complex to explain here) Trend Biased (extreme) = (see code, too complex to explain here) Included: -Toggle bar color on/off -Toggle signal line on/off
Pine Script® 인디케이터
loxx의
7
Tillson IE/2 [CC]The IE/2 was created by Tim Tillson (Stocks and Commodities Jan 1998) and this is a practically undiscovered gem because in that same article he goes on to to create the popular T3 moving average and the GDEma but practically no one seemed to notice the IE2 or maybe it is just my imagination. Anyway this indicator name is short for Integral of Linear Regression Slope + Endpoint Moving Average / 2 so you can why it was shortened to IE/2. Like the name implies this takes two variations of smoothing that complement each other and averages them together to in theory get the benefits of each. The EPMA is much noiser but follows the data more closely and the complete opposite for the ILRS so you can see the idea in action. Like all of my indicators I include strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal signals are lighter in color. Buy when the line turns green and sell when it turns red. Let me know if there are any other indicators or scripts you would like to see me publish!
Pine Script® 인디케이터
cheatcountry의
6
pandas_taLibrary "pandas_ta" Level: 3 Background Today is the first day of 2022 and happy new year every tradingviewers! May health and wealth go along with you all the time. I use this chance to publish my 1st PINE v5 lib : pandas_ta This is not a piece of cake like thing, which cost me a lot of time and efforts to build this lib. Beyond 300 versions of this script was iterated in draft. Function Library "pandas_ta" PINE v5 Counterpart of Pandas TA - A Technical Analysis Library in Python 3 at github.com The Original Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns. I realized most of indicators except Candlestick Patterns because tradingview built-in Candlestick Patterns are even more powerful! I use this to verify pandas_ta python version indicators for myself, but I realize that maybe many may need similar lib for pine v5 as well. Function Brief Descriptions (Pls find details in script comments) bton --> Binary to number wcp --> Weighted Closing Price (WCP) counter --> Condition counter xbt --> Between ebsw --> Even Better SineWave (EBSW) ao --> Awesome Oscillator (AO) apo --> Absolute Price Oscillator (APO) xrf --> Dynamic shifted values bias --> Bias (BIAS) bop --> Balance of Power (BOP) brar --> BRAR (BRAR) cci --> Commodity Channel Index (CCI) cfo --> Chande Forcast Oscillator (CFO) cg --> Center of Gravity (CG) cmo --> Chande Momentum Oscillator (CMO) coppock --> Coppock Curve (COPC) cti --> Correlation Trend Indicator (CTI) dmi --> Directional Movement Index(DMI) er --> Efficiency Ratio (ER) eri --> Elder Ray Index (ERI) fisher --> Fisher Transform (FISHT) inertia --> Inertia (INERTIA) kdj --> KDJ (KDJ) kst --> 'Know Sure Thing' (KST) macd --> Moving Average Convergence Divergence (MACD) mom --> Momentum (MOM) pgo --> Pretty Good Oscillator (PGO) ppo --> Percentage Price Oscillator (PPO) psl --> Psychological Line (PSL) pvo --> Percentage Volume Oscillator (PVO) qqe --> Quantitative Qualitative Estimation (QQE) roc --> Rate of Change (ROC) rsi --> Relative Strength Index (RSI) rsx --> Relative Strength Xtra (rsx) rvgi --> Relative Vigor Index (RVGI) slope --> Slope smi --> SMI Ergodic Indicator (SMI) sqz* --> Squeeze (SQZ) * NOTE: code sufferred from very strange error, code was commented. sqz_pro --> Squeeze PRO(SQZPRO) xfl --> Condition filter stc --> Schaff Trend Cycle (STC) stoch --> Stochastic (STOCH) stochrsi --> Stochastic RSI (STOCH RSI) trix --> Trix (TRIX) tsi --> True Strength Index (TSI) uo --> Ultimate Oscillator (UO) willr --> William's Percent R (WILLR) alma --> Arnaud Legoux Moving Average (ALMA) xll --> Dynamic rolling lowest values dema --> Double Exponential Moving Average (DEMA) ema --> Exponential Moving Average (EMA) fwma --> Fibonacci's Weighted Moving Average (FWMA) hilo --> Gann HiLo Activator(HiLo) hma --> Hull Moving Average (HMA) hwma --> HWMA (Holt-Winter Moving Average) ichimoku --> Ichimoku Kinkō Hyō (ichimoku) jma --> Jurik Moving Average Average (JMA) kama --> Kaufman's Adaptive Moving Average (KAMA) linreg --> Linear Regression Moving Average (linreg) mgcd --> McGinley Dynamic Indicator rma --> wildeR's Moving Average (RMA) sinwma --> Sine Weighted Moving Average (SWMA) ssf --> Ehler's Super Smoother Filter (SSF) © 2013 supertrend --> Supertrend (supertrend) xsa --> X simple moving average swma --> Symmetric Weighted Moving Average (SWMA) t3 --> Tim Tillson's T3 Moving Average (T3) tema --> Triple Exponential Moving Average (TEMA) trima --> Triangular Moving Average (TRIMA) vidya --> Variable Index Dynamic Average (VIDYA) vwap --> Volume Weighted Average Price (VWAP) vwma --> Volume Weighted Moving Average (VWMA) wma --> Weighted Moving Average (WMA) zlma --> Zero Lag Moving Average (ZLMA) entropy --> Entropy (ENTP) kurtosis --> Rolling Kurtosis skew --> Rolling Skew xev --> Condition all zscore --> Rolling Z Score adx --> Average Directional Movement (ADX) aroon --> Aroon & Aroon Oscillator (AROON) chop --> Choppiness Index (CHOP) xex --> Condition any cksp --> Chande Kroll Stop (CKSP) dpo --> Detrend Price Oscillator (DPO) long_run --> Long Run psar --> Parabolic Stop and Reverse (psar) short_run --> Short Run vhf --> Vertical Horizontal Filter (VHF) vortex --> Vortex accbands --> Acceleration Bands (ACCBANDS) atr --> Average True Range (ATR) bbands --> Bollinger Bands (BBANDS) donchian --> Donchian Channels (DC) kc --> Keltner Channels (KC) massi --> Mass Index (MASSI) natr --> Normalized Average True Range (NATR) pdist --> Price Distance (PDIST) rvi --> Relative Volatility Index (RVI) thermo --> Elders Thermometer (THERMO) ui --> Ulcer Index (UI) ad --> Accumulation/Distribution (AD) cmf --> Chaikin Money Flow (CMF) efi --> Elder's Force Index (EFI) ecm --> Ease of Movement (EOM) kvo --> Klinger Volume Oscillator (KVO) mfi --> Money Flow Index (MFI) nvi --> Negative Volume Index (NVI) obv --> On Balance Volume (OBV) pvi --> Positive Volume Index (PVI) dvdi --> Dual Volume Divergence Index (DVDI) xhh --> Dynamic rolling highest values pvt --> Price-Volume Trend (PVT) Remarks I also incorporated func descriptions and func test script in commented mode, you can test the functino with the embedded test script and modify them as you wish. This is a Level 3 free and open source indicator library. Feedbacks are appreciated. This is not the end of pandas_ta lib publication, but it is start point with pine v5 lib function and I will add more and more funcs into this lib for my own indicators. Function Name List: bton() wcp() count() xbt() ebsw() ao() apo() xrf() bias() bop() brar() cci() cfo() cg() cmo() coppock() cti() dmi() er() eri() fisher() inertia() kdj() kst() macd() mom() pgo() ppo() psl() pvo() qqe() roc() rsi() rsx() rvgi() slope() smi() sqz_pro() xfl() stc() stoch() stochrsi() trix() tsi() uo() willr() alma() wcx() xll() dema() ema() fwma() hilo() hma() hwma() ichimoku() jma() kama() linreg() mgcd() rma() sinwma() ssf() supertrend() xsa() swma() t3() tema() trima() vidya() vwap() vwma() wma() zlma() entropy() kurtosis() skew() xev() zscore() adx() aroon() chop() xex() cksp() dpo() long_run() psar() short_run() vhf() vortex() accbands() atr() bbands() donchian() kc() massi() natr() pdist() rvi() thermo() ui() ad() cmf() efi() ecm() kvo() mfi() nvi() obv() pvi() dvdi() xhh() pvt()
Pine Script® 라이브러리
blackcat1402의
20
Tilson T3 and MavilimW Triple Combined StrategyInspired by truly greatful Kivanç Ozbilgic (www.tradingview.com). The strategy tries to combined three different moving average strategies into one. Strategies covered are: 1. Tillson T3 Moving Average Strategy Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well. However, it bears the disadvantage of overshooting the price as it attempts to realign itself to current market conditions. It incorporates a smoothing technique which allows it to plot curves more gradual than ordinary moving averages and with a smaller lag. Its smoothness is derived from the fact that it is a weighted sum of a single EMA, double EMA, triple EMA and so on. When a trend is formed, the price action will stay above or below the trend during most of its progression and will hardly be touched by any swings. Thus, a confirmed penetration of the T3 MA and the lack of a following reversal often indicates the end of a trend. Here is what the calculation looks like: T3 = c1*e6 + c2*e5 + c3*e4 + c4*e3, where: – e1 = EMA (Close, Period) – e2 = EMA (e1, Period) – e3 = EMA (e2, Period) – e4 = EMA (e3, Period) – e5 = EMA (e4, Period) – e6 = EMA (e5, Period) – a is the volume factor, default value is 0.7 but 0.618 can also be used – c1 = – a^3 – c2 = 3*a^2 + 3*a^3 – c3 = – 6*a^2 – 3*a – 3*a^3 – c4 = 1 + 3*a + a^3 + 3*a^2 T3 MovingThe T3 Moving Average generally produces entry signals similar to other moving averages and thus is traded largely in the same manner. Strategy for Tillson T3 is if the close crossovers T3 line and for at least five bars the close was under the T3 2. Tillson T3 Fibonacci Cross Kivanc Ozbilgic added a second T3 line with a volume factor of 0.618 (Fibonacci Ratio) and length of 3 (fibonacci number) which can be added by selecting the T3 Fibonacci Strategy input box. Strategy for Tillson T3 Fibo is when the Fibo Line crossover the T3 it gives long signal vice versa. 3. MavilimW MavilimW is originally a support and resistance indicator based on fibonacci injected weighted moving averages. Strategy for MavilimW is is if the close crossovers T3 line and for at least five bars the close was under the T3 Hope you enjoy
Pine Script™ 전략
bartua의
4
BTC Fibonacci DMA350 TrendlinesAdapted from Tim Graham's Code. See Original Inspiring Article from Phillip Swift at: @positivecrypto When looking into BITSTAMP:BTCUSD 1D data in spreadsheet. Historically, BTC Highs Hit (Simple Daily Moving Average 350 Days) DMA350 in reverse Fibonacci Sequence Order 2013 Hit DMA350*8 before All Time High (ATH) 2017 Hit DMA350*5 before ATH I expect 2021 to hit DMA350*3 ATH. When BTC hits DMA350*3 ATH, I suggest selling!
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BitcoinBahai의
1
Deckchair Trader COT MACDPlots the COT MACD from the legacy report data from Quandl. Plots the commercial, non commercial and non reportables. Each plot can be hidden as needed. I've tried to capture the basic dollar based currencies and the futures such as corn , wheat , rice, oil , hogs etc. The symbols required a little translation to match what Quandl is expecting but I think I got most of them. Please let me know of any issues with these. Part of a suite of COT related indicators based on the excellent book "the commitment of traders bible" by Stephen Briese. Feb 26, 2018 Release Notes: Quandl have changed their codes :( now they seem to be using the CFTC Id's where are numeric (and can be found in the dump you get from them) So whereas before for example, GBPUSD was mapped to BP it is now mapped to 096742. I have gone through the various dumps and tried to map all the symbols I was using, the currency were the easy ones, the wheat, corn etc a little harder to trade down due to variations. Please let me know if different Thanks Tim Titchmarsh DeckchairTrader
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deckchairtrader의
1
Deckchair Trader COT Open InterestPlots the COT Open Interest from the legacy report data from Quandl. Plots the commercial, non commercial and non reportables. Each plot can be hidden as needed. I've tried to capture the basic dollar based currencies and the futures such as corn , wheat , rice, oil , hogs etc. The symbols required a little translation to match what Quandl is expecting but I think I got most of them. Please let me know of any issues with these. Part of a suite of COT related indicators based on the excellent book "the commitment of traders bible" by Stephen Briese. Works best on weekly timeframe. Feb 26, 2018 Release Notes: Quandl have changed their codes :( now they seem to be using the CFTC Id's where are numeric (and can be found in the dump you get from them) So whereas before for example, GBPUSD was mapped to BP it is now mapped to 096742. I have gone through the various dumps and tried to map all the symbols I was using, the currency were the easy ones, the wheat, corn etc a little harder to trade down due to variations. Please let me know if different Thanks Tim Titchmarsh DeckchairTrader
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deckchairtrader의
Deckchair Trader COT IndexPlots the COT Index from the legacy report data from Quandl. Plots the commercial, non commercial and non reportables. Each plot can be hidden as needed. I've tried to capture the basic dollar based currencies and the futures such as corn , wheat , rice, oil , hogs etc. The symbols required a little translation to match what Quandl is expecting but I think I got most of them. Please let me know of any issues with these. Part of a suite of COT related indicators based on the excellent book "the commitment of traders bible" by Stephen Briese. Currently working on a trading strategy based around these indicators, Would love to hear if you are interested in this or have some COT trading ideas to share. Feb 26, 2018 Release Notes: Quandl have changed their codes :( now they seem to be using the CFTC Id's where are numeric (and can be found in the dump you get from them) So whereas before for example, GBPUSD was mapped to BP it is now mapped to 096742. I have gone through the various dumps and tried to map all the symbols I was using, the currency were the easy ones, the wheat, corn etc a little harder to trade down due to variations. Please let me know if different Thanks Tim Titchmarsh DeckchairTrader
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deckchairtrader의
6
ATR and T3 strategyT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This strategy is for trend followers who are patient enough to have 6-10 trades per year. What's included in strategy? Two ATR (Code was taken from J.Dow and modified) Tillson Moving average Enter long signal: When both ATR (Long and Short) are in uptrend and the bar closes above Upper Tillson's moving average band: Enter Long Exit Long signal: When hl2 is lower than Lower Tillson Moving Average band Enter short signal: When both ATR (Long and Short) are in downtrend and the bar closes below Lower Tillson's moving average band: Enter Short Exit Shortsignal: When hl2 is higher than Upper Tillson's Moving Average band Best to use with Bitcoin on 12H TF Can be used for different time frames as well but the settings must be adjusted accordingly Remember, overtrading can be harmful to your trading account. If this is helpful for you, consider a tip BTC: 3FiBnveHo3YW6DSiPEmoCFCyCnsrWS3JBR ETH: 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Created by CryptoJoncis
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CryptoJoncis의
1
Moving Average Percent Difference by KIVANC fr3762Percent Difference between varios moving averages like sma , ema , wma , vwma and Hull MA and price to measure volatility and indicate crosses better. 1=SMA, 2=EMA, 3=WMA, 4=VWMA, 5=HullMA Moving average type can be selected from the settings of the indicator. the default value for the length of the moving averages taken as 50. Author: KıvanÇ @fr3762 on twitter (tweets are only in TURKISH) MAPD Fiyat ve çeşitli hareketli ortalamalar arası yüzde değeri hesaplamakta kullanılır. indikatörle fiyatın kesişimlerini daha yi görmek ve bir çeşit volatilite ölçümü için de kullanılır. Hareketli ortalamalar için varsayılan değer 50 bar olarak seçilmiştir/değiştirilebilir. 1=SMA, 2=EMA, 3=WMA, 4=VWMA, 5=HullMA olarak seçilebilir İndikatörü geliştiren: Tim Tillson
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KivancOzbilgic의
13
Tillson Moving Average(sma) TENT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This version provides T3 MA Source options - all standard + HA T3 based on 6x sma Adds up to 10 T3 MA with sma on chart Consider a tip in ETH to 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Thank you and have a nice day CryptoJoncis
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CryptoJoncis의
Tillson Moving Average(all_basic) SevenT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This version provides T3 MA Source options - all standard + HA T3 based on 6x ema, sma, rma, wma, alma, swma, vwma Adds up to 7 different T3 on chart Consider a tip in ETH to 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Thank you and have a nice day CryptoJoncis
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CryptoJoncis의
1
Tillson Moving Average(ema) TENT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This version provides simple T3 MA Source options - all standard + HA T3 based on 6x ema Can add up to 10 T3 MA on chart Consider a tip in ETH to 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Thank you and have a nice day CryptoJoncis
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CryptoJoncis의
1
Tillson Moving Average(vwma) singleT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This version provides simple T3 MA Source options - all standard + HA T3 based on 6x vwma Only adds 1 T3 MA on chart Consider a tip in ETH to 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Thank you and have a nice day CryptoJoncis
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CryptoJoncis의
Tillson Moving Average(swma) singleT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This version provides simple T3 MA Source options - all standard + HA T3 based on 6x swma Only adds 1 T3 MA on chart Consider a tip in ETH to 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Thank you and have a nice day CryptoJoncis
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CryptoJoncis의
Tillson Moving Average(alma) singleT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This version provides simple T3 MA Source options - all standard + HA T3 based on 6x alma Only adds 1 T3 MA on chart Consider a tip in ETH to 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Thank you and have a nice day CryptoJoncis
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CryptoJoncis의
Tillson Moving Average(wma) singleT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This version provides simple T3 MA Source options - all standard + HA T3 based on 6x wma Only adds 1 T3 MA on chart Consider a tip in ETH to 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Thank you and have a nice day CryptoJoncis
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CryptoJoncis의
Tillson Moving Average(rma) singleT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This version provides simple T3 MA Source options - all standard + HA T3 based on 6x rma Only adds 1 T3 MA on chart Consider a tip in ETH to 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Thank you and have a nice day CryptoJoncis
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CryptoJoncis의
Tillson Moving Average(sma) singleT3 Moving Average indicator was originally developed by Tim Tillson in 1998/99. T3 Moving Average is considered as improved and better to traditional moving averages as it is smoother and performs better in trending market conditions. It offers multiple opportunities when the price is in the state of retracement and therefore allows to minimize your exposed risk and allowing your profits run. This version provides simple T3 MA Source options - all standard + HA T3 based on 6x sma Only adds 1 T3 MA on chart Consider a tip in ETH to 0xac290B4A721f5ef75b0971F1102e01E1942A4578 Thank you and have a nice day CryptoJoncis
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