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Swing Dream - PAINT BARS | MA | EMA | DMA | VWAP | TABLE | ADR %- Swing Dream - Script created for breakout-swing traders, in the style of QullaMaggie * , Dan Zanger, Oliver Kell, and Stockbee. The following indicators are used by most successful breakout-swing traders such as mentioned above. (As published) it contains: Painted Bars, also known as inside/outside candles. Used for candle analysis and to determine breakout pivots & levels. For instance; use it in different timeframes and seek formations (ex, 3-1-2). For further inspiration, study Rob Smith's The Strat . MA, Simple Moving Averages (Basic levels = 10,20,50,200). Use this indicator to define resistance/support areas as well as the overall long/swing-term trend. In breakout strategies such as EP, Flags, etc this can be used for trailing stops; an example, post-breakout, let the price ride the 20ma before exiting your position. EMA, Exponential Moving Averages with periods inspired by Qullamaggie (10,20,65). Use this on shorter timeframes (ex, 1h) and for the same principles as MAs. VWAP, Volume-Weighted Average Price. As for the previous, utilize this as a level indicator to find areas of resistance/support. Good for swing-trading as it implies whenever holders are profitable or not. DMA, Displaced Moving Average (Horizontal). Personally, I use this a lot. Works very well for trailing stops (post breakout) and "bounce" areas. Choose your own offset and period. ADR%, Average Daily Range Percentage. Displayed in the table and used to define a symbol's volatility. A very good tool for Qullamaggie-style trading. Personally, I try to find setups with over 6% ADR. Basic definition; low ADR% = Increased chance of a symbol to move slower and in smaller ranges. A higher value equals the opposite. Table. A table with basic symbol-related information. Could save you plenty of time whenever you scan or search for new swing setups. Looking to add more features here. Why should you use this script? Well, instead of having tens of different indicators, use this script and combine everything together with EP, Flag, or breakout principles. Suited for every plan, and more efficient in my opinion. View settings to turn on/off different indicators. * If you're looking for an introduction and further explanation of how Qullamaggie uses mentioned indicators, I could recommend checking out his website, stream, or participation in "Chat With Traders". At last, I want to credit: @jkcqld @neolao @TheScrutiniser This Script will get updated and improved. // TechFille006
Pine Script®指標
由TechFille006提供
65
H/L Price Band with Signal Line (PBS)This indicator centers a moving average around the hl2 of the price. This is calculated as the difference of two moving averages. The upper band is a 9 period exponential moving average, the lower band is a 7 period moving average and the center line is the average between the two. The "Fast Line" is our signal line in this oscillator. When the price is hovering around the center of the band this indicates that a trend is pausing or reversing. When the fast line exits the band this could be a buy or sell signal. It could also indicate a very strong trend in that direction. To get the optimal entry and exit you might want to wait for the price to return to the center line. In addition to the basic functionality of this indicator I have added some bonus features. You can enable the "Slow Line" or the "Long Line" to enhance your signals. When the fast line is above the slow/long line you are in an up trend and inversely when the fast line is below the slow/long line you are in a down trend. The crossing of these lines can indicate a reversal. I have also included a "J" style amplification line. This works by enhancing the difference between the Fast and Slow/Long line to make it more visually apparent. You can also configure the "J" line to be calculated between either the slow or long line. Finally I have added the feature to amplify the band width by the standard deviation. This is set to 1 by default but you can also get a more responsive signal by setting this to 0. This indicator works in most markets. There is a tool tip for every aspect of this indicator explaining how everything works. I hope you are very profitable with this one! If you find this indicator is useful to you, Star it, Follow, Donate, Like and Share. Your support is a highly motivation for me.
Pine Script®指標
由The_Peaceful_Lizard提供
Indicator Functions with Factor and HeikinAshiHello all, This indicator returns below selected indicators values with entered parameters. Also you can add factorization, functions candles, function HeikinAshi and more to the plot. VERSION: Version 1: returns series only source and Length with already defined default values Version 2: returns series with source, Length, p1 and p2 parameters according to the indicator definition (ex: ) PARAMETERS p1 p2 for defining multi arguments (See indicators list) indicator input value usable with verison=V2 selected.. ex: for alma( src , len ,offset=0.85,sigma=6), set source=source, len=length, p1=0.85 an p2=6 FACTOR: Add double triple, Quadruple factors to selected indicator (like converting EMA to 2-DEMA, 3-TEMA, 4-QEMA...) 1-Original 2-Double 3-Triple 4-Quadruple LOG Log: Use log, log10 on function entries PLOTTING: PType: Plotting type of the function on the screen Original :use original values Org. Range (-1,1): usable for indicators between range -1 and 1 Stochastic: Convert indicator values by using stochastic calculation between -1 & 1. (use AT/% length to better view) PercentRank: Convert indicator values by using Percent Rank calculation between -1 & 1. (use AT/% length to better view) ST/%: length for plotting Type for stochastic and Percent Rank options Smooth: Use SWMA for smoothing the function DISPLAY TYPES Plot Candles: Display the selected indicator as candle by implementing values Plot Ind: Display result of indicator with selected source HeikinAshi: Display Selected indicator candles with Heikin Ashi calculation INDICATOR LIST: hide = 'DONT DISPLAY', //Dont display & calculate the indicator. (For my framework usage) alma = 'alma( src , len ,offset=0.85,sigma=6)', // Arnaud Legoux Moving Average ama = 'ama( src , len ,fast=14,slow=100)', //Adjusted Moving Average acdst = 'accdist()', // Accumulation/distribution index. cma = 'cma( src , len )', //Corrective Moving average dema = 'dema( src , len )', // Double EMA (Same as EMA with 2 factor) ema = 'ema( src , len )', // Exponential Moving Average gmma = 'gmma( src , len )', //Geometric Mean Moving Average hghst = 'highest( src , len )', //Highest value for a given number of bars back. hl2ma = 'hl2ma( src , len )', //higest lowest moving average hma = 'hma( src , len )', // Hull Moving Average . lgAdt = 'lagAdapt( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter lgAdV = 'lagAdaptV( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter variation lguer = 'laguerre( src , len )', //Ehler's Laguerre filter lsrcp = 'lesrcp( src , len )', //lowest exponential esrcpanding moving line lexp = 'lexp( src , len )', //lowest exponential expanding moving line linrg = 'linreg( src , len ,loffset=1)', // Linear regression lowst = 'lowest( src , len )', //Lovest value for a given number of bars back. pcnl = 'percntl( src , len )', //percentile nearest rank. Calculates percentile using method of Nearest Rank. pcnli = 'percntli( src , len )', //percentile linear interpolation. Calculates percentile using method of linear interpolation between the two nearest ranks. rema = 'rema( src , len )', //Range EMA (REMA) rma = 'rma( src , len )', //Moving average used in RSI . It is the exponentially weighted moving average with alpha = 1 / length. sma = 'sma( src , len )', // Smoothed Moving Average smma = 'smma( src , len )', // Smoothed Moving Average supr2 = 'super2( src , len )', //Ehler's super smoother, 2 pole supr3 = 'super3( src , len )', //Ehler's super smoother, 3 pole strnd = 'supertrend( src , len ,period=3)', //Supertrend indicator swma = 'swma( src , len )', //Sine-Weighted Moving Average tema = 'tema( src , len )', // Triple EMA (Same as EMA with 3 factor) tma = 'tma( src , len )', //Triangular Moving Average vida = 'vida( src , len )', // Variable Index Dynamic Average vwma = 'vwma( src , len )', // Volume Weigted Moving Average wma = 'wma( src , len )', //Weigted Moving Average angle = 'angle( src , len )', //angle of the series (Use its Input as another indicator output) atr = 'atr( src , len )', // average true range . RMA of true range. bbr = 'bbr( src , len ,mult=1)', // bollinger %% bbw = 'bbw( src , len ,mult=2)', // Bollinger Bands Width . The Bollinger Band Width is the difference between the upper and the lower Bollinger Bands divided by the middle band. cci = 'cci( src , len )', // commodity channel index cctbb = 'cctbbo( src , len )', // CCT Bollinger Band Oscilator chng = 'change( src , len )', //Difference between current value and previous, source - source. cmo = 'cmo( src , len )', // Chande Momentum Oscillator . Calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period. cog = 'cog( src , len )', //The cog (center of gravity ) is an indicator based on statistics and the Fibonacci golden ratio. cpcrv = 'copcurve( src , len )', // Coppock Curve. was originally developed by Edwin "Sedge" Coppock (Barron's Magazine, October 1962). corrl = 'correl( src , len )', // Correlation coefficient . Describes the degree to which two series tend to deviate from their ta. sma values. count = 'count( src , len )', //green avg - red avg dev = 'dev( src , len )', //ta.dev() Measure of difference between the series and it's ta. sma fall = 'falling( src , len )', //ta.falling() Test if the `source` series is now falling for `length` bars long. (Use its Input as another indicator output) kcr = 'kcr( src , len ,mult=2)', // Keltner Channels Range kcw = 'kcw( src , len ,mult=2)', //ta.kcw(). Keltner Channels Width. The Keltner Channels Width is the difference between the upper and the lower Keltner Channels divided by the middle channel. macd = 'macd( src , len )', // macd mfi = 'mfi( src , len )', // Money Flow Index nvi = 'nvi()', // Negative Volume Index obv = 'obv()', // On Balance Volume pvi = 'pvi()', // Positive Volume Index pvt = 'pvt()', // Price Volume Trend rise = 'rising( src , len )', //ta.rising() Test if the `source` series is now rising for `length` bars long. (Use its Input as another indicator output) roc = 'roc( src , len )', // Rate of Change rsi = 'rsi( src , len )', // Relative strength Index smosc = 'smi_osc( src , len ,fast=5, slow=34)', //smi Oscillator smsig = 'smi_sig( src , len ,fast=5, slow=34)', //smi Signal stdev = 'stdev( src , len )', //Standart deviation trix = 'trix( src , len )' , //the rate of change of a triple exponentially smoothed moving average . tsi = 'tsi( src , len )', //True Strength Index vari = 'variance( src , len )', //ta.variance(). Variance is the expectation of the squared deviation of a series from its mean (ta. sma ), and it informally measures how far a set of numbers are spread out from their mean. wilpc = 'willprc( src , len )', // Williams %R wad = 'wad()', // Williams Accumulation/Distribution . wvad = 'wvad()' //Williams Variable Accumulation/Distribution I will update the indicator list when I will update the library Thanks to tradingview, @RodrigoKazuma for their open source indicators
Pine Script®指標
由dturkuler提供
1
Moving Average Trend█ OVERVIEW This is a Moving Average Script that contains both a cloud and a ribbon that has independent MA-type selection. ⬆ green arrow up = up trend flip ⬇ red arrow down = down trend flip 🟢 Green Dot = Potential Long 🔴 Red Dot = Potential Short █ CONCEPTS 1 — Cloud, like most trading algo, the cloud is made of 8 short term MA , with MA cross and MA cross (longema) 2 — Ribbon, this is by default turned off, the default values , an option in setting to change longema to look for ribbon cross 3 — Sequence, It goes from 1 – 9 at 9 the sequence resets. The sequence changes colour depending on if it’s a down trend(red) or uptrend(green) or an over extended trend (yellow) Setup definitions Red sell start = current close < the close 4 candles back Yellow sell extended = current close < last close and current close < two closes back Green buy start = current close > the close 4 candles back Yellow buy extended = current close last close and current close < two closes back This can help you find when it’s time to get out, or sit out of a choppy trend. 4 - Moving Average types: sma = Simple Moving Average ema = Exponential Moving Average wma = Weighted Moving Average vwma = Volume Weighted Moving Average rma = Running Moving Average alma = Arnaud Legoux Moving Average hma = Hull Moving Average jma = Jurik Moving Average frama-o = frama frama-m = frama mod dema = Double Exponential Moving Average tema = Triple Exponential Moving Average zlema = Zero lag Exponential Moving Average smma = Smoothed Moving Average kma = kaufman Moving Average tma = triangular Moving Average gmma = Geometric Mean Moving Average vida = Variable Index Dynamic Average cma = Corrective Moving average rema = Range Exponential Moving average █ OTHER SECTIONS • FEATURES: to describe the detailed features of the script, usually arranged in the same order as users will find them in the script's inputs.  • HOW TO USE  • LIMITATIONS: Like with any MA script there is a lag factor associated with is.  • RAMBLINGS: Experiment to your hearts content with all the MA types, I'm impartial to HMA as is  • NOTES: some of the MA's are more taxing, therefore take longer to load, be patience, this is a trimmed down version of an existing invite only script i have
Pine Script®指標
由Rain5369提供
2
Ehlers Moving Average Difference Hann Indicator [CC]The Moving Average Difference Hann Indicator was created by John Ehlers (Stocks and Commodities Nov 2021) and this is an improved variation of his Moving Average Difference Indicator that uses smoothing from his Hann Windowing Indicator to provide smoother buy and sell signals. As for how this indicator works it is an improved version of the classic MACD indicator which of course takes a difference between two exponential moving averages. I have included strong buy and signals in addition to normal ones so lighter colors are normal signals and darker colors are strong signals. Buy when the line turns green and sell when it turns red. Let me know if there are any other indicators you would like to see me publish!
Pine Script®指標
由cheatcountry提供
8
Compound Moving Average [DM]Greetings Colleagues We always have a problem with the type of moving average and how it is used, here are the two classics that I like the most "together". I share a moving average composed of: 3 exponential moving averages 3 weighted moving averages For the initial calculation, the weight has been distributed using the Williams Ultimate Oscillator ultimate oscillator technique but I have added an input to be able to balance the load
Pine Script®指標
由dgmoon提供
8
[blackcat] L1 Tim Tillson IE/2Level: 1 Background Before this script, I cannot find a IE/2 moving average script in tradingview. Although it is not so complex, it is meaningful to be the 1st Tim Tilson IE/2 script in tradingview community. IE/2 moving average was disclosed in "Smoothin Techniques For More Accurate Signals", Tim Tilson, S&C Magazine, Traders Tips, 01/1998. Function IE/2 is one of pre-studies created while T3 famous average was developing. It is calculated as (ILRS(n)+EPMA(n))/2. ILRS, is an integral of linear regression slope. In this moving average, the slope of a linear regression line is simply integrated as it is fitted in a moving window of length n across the data. The derivative of ILRS is the linear regression slope.EPMA is an end point moving average - it is the endpoint of the linear regression line of length n as it is fitted across the data. EPMA hugs the data more closely than a simple or exponential moving average of the same length. The most popular method of interpreting a moving average is to compare the relationship between a moving average of the security's price with the security's price itself (or between several moving averages). Inputs Price --> price data to use Period --> number of bars to use in calculation Key Signal Price --> Price Input. IE/2 --> IE/2 Ouput. Remarks This is a Level 1 free and open source indicator. Feedbacks are appreciated.
Pine Script®指標
由blackcat1402提供
Technical Ratings on Multi-frames / Assets█  OVERVIEW This indicator is a modified version of TECHNICAL RATING v1.0 available in the public library to provide a quick overview of consolidated technical ratings performed on 12 assets in 3 timeframes.The purpose of the indicator is to provide a quick overview of the current status of the custom 12 (24) assets and to help focus on the appropriate asset. █  MODIFICATIONS - Markers, visualizations and alerts have been deleted - Due to the limitation on maximum number of security (40), the results of 12 assets evaluated in 3 different time frames can be shown at the same time. - An additional 12 assets can be configured in the settings so that you do not have to choose each ticker one by one to facilitate a quick change, but can switch between the 12 -12 assets with a single click on "Second sets?". - The position, colors and parameters of the table can be widely customized in the settings. - The 12 assets can be arranged in rows 3, 4, 6 and 12 with Table Rows options, which can also be used to create a simple mobile view. - The default gradient color setting has been changed to red/yellow/green traffic lights ORIGINAL DESCRIPTION ABOUT TECHNICAL RATING v1.0 █  OVERVIEW This indicator calculates TradingView's well-known "Strong Buy", "Buy", "Neutral", "Sell" or "Strong Sell" states using the aggregate biases of 26 different technical indicators. █ WARNING This version is similar, but not identical, to our recently published "Technical Ratings" built-in, which reproduces our "Technicals" ratings displayed as a gauge in the right panel of charts, or in the "Rating" indicator available in the TradingView Screener. This is a fork and refactoring of the code base used in the "Technical Ratings" built-in. Its calculations will not always match those of the built-in, but it provides options not available in the built-in. Up to you to decide which one you prefer to use. █ FEATURES Differences with the built-in version  • The built-in version produces values matching the states displayed in the "Technicals" ratings gauge; this one does not always.  • A strategy version is also available as a built-in; this script is an indicator—not a strategy.  • This indicator will show a slightly different vertical scale, as it does not use a fixed scale like the built-in.  • This version allows control over repainting of the signal when you do not use a higher timeframe. Higher timeframe (HTF) information from this version does not repaint.  • You can adjust the weight of the Oscillators and MAs components of the rating here.  • You can configure markers on signal breaches of configurable levels, or on advances declines of the signal. The indicator's settings allow you to:  • Choose the timeframe you want calculations to be made on.  • When not using a HTF, you can select a repainting or non-repainting signal.  • When using both MAs and Oscillators groups to calculate the rating, you can vary the weight of each group in the calculation. The default is 50/50.   Because the MAs group uses longer periods for some of its components, its value is not as jumpy as the Oscillators value.   Increasing the weight of the MAs group will thus have a calming effect on the signal.  • Alerts can be created on the indicator using the conditions configured to control the display of markers. Display The calculated rating is displayed as columns, but you can change the style in the inputs. The color of the signal can be one of three colors: bull, bear, or neutral. You can choose from a few presets, or check one and edit its color. The color is determined from the rating's value. Between 0.1 and -0.1 it is in the neutral color. Above/below 0.1/-0.1 it will appear in the bull/bear color. The intensity of the bull/bear color is determined by cumulative advances/declines in the rating. It is capped to 5, so there are five intensities for each of the bull/bear colors. The "Strong Buy", "Buy", "Neutral", "Sell" or "Strong Sell" state of the last calculated value is displayed to the right of the last bar for each of the three groups: All, MAs and Oscillators. The first value always reflects your selection in the "Rating uses" field and is the one used to display the signal. A "Strong Buy" or "Strong Sell" state appears when the signal is above/below the 0.5/-0.5 level. A "Buy" or "Sell" state appears when the signal is above/below the 0.1/-0.1 level. The "Neutral" state appears when the signal is between 0.1 and -0.1 inclusively. Five levels are always displayed: 0.5 and 0.1 in the bull color, zero in the neutral color, and -0.1 and - 0.5 in the bull color. █ CALCULATIONS The indicator calculates the aggregate value of two groups of indicators: moving averages and oscillators. The "MAs" group is comprised of 15 different components:  • Six Simple Moving Averages of periods 10, 20, 30, 50, 100 and 200  • Six Exponential Moving Averages of the same periods  • A Hull Moving Average of period 9  • A Volume-weighed Moving Average of period 20  • Ichimoku‎ The "Oscillators" group includes 11 components:  • RSI  • Stochastic  • CCI  • ADX  • Awesome Oscillator  • Momentum  • MACD  • Stochastic RSI  • Wiliams %R  • Bull Bear Power  • Ultimate Oscillator
Pine Script®指標
由wakefulCardina81869提供
21
Bull vs Bear Power by DGTElder-Ray Bear and Bull Power Dr. Alexander Elder cleverly named his first indicator Elder-Ray because of its function, which is designed to see through the market like an X-ray machine. Developed in 1989, the Elder-Ray indicator can be applied to the chart of any security and helps traders determine the strength of competing groups of bulls and bears by gazing under the surface of the markets for data that may not immediately be ascertainable from a superficial glance at prices The Elder-Ray indicator is comprised by three elements – Bear Power, Bull Power and a 13-period Exponential Moving Average. As the high price of any candle shows the maximum power of buyers and the low price of any candle shows the maximum power of sellers, Elder uses the 13-period EMA in order to present the average consensus of price value. Bull power shows whether buyers are capable of pushing prices above the average consensus of value. Bear power shows whether sellers are capable of pushing prices below the average consensus of value. Mathematically, Bull power is the result of subtracting the 13-period EMA from the high price of the day, and Bear power is the result of subtracting the 13-period EMA from the low price of the day. What does this study implements Attempts to customize interpretation of Alexander Elder's Elder-Ray Indicator (Bull and Bear Power) by • adding additional insights to support/confirm Elder’s strategy with different indicators related with the Elder’s concept • providing different options of visualization of the indicator • providing smoothing capability Other Indicators to support/confirm Elder-Ray Indicator: Colored Directional Movement Index (CDMI) , a custom interpretation of J. Welles Wilder’s Directional Movement Index (DMI) , where : DMI is a collection of three separate indicators ( ADX , +DI , -DI ) combined into one and measures the trend’s strength as well as its direction CDMI is a custom interpretation of DMI which presents ( ADX , +DI , -DI ) with a color scale - representing the trend’s strength, color density - representing momentum/slope of the trend’s strength, and triangle up/down shapes - representing the trend’s direction. CDMI provides all the information in a single line with colored triangle shapes plotted on the top. DMI can provide quality information and even trading signals but it is not an easy indicator to master, whereus CDMI simplifies its usage. Alexander Elder considers the slope of the EMA, which gives insight into the recent trend whether is up or down, and CDMI adds additional insight of verifying/confirming the trend as well as its strength Note : educational content of how to read CDMI can be found in ideas section named as “Colored Directional Movement Index” different usages of CDMI can be observed with studies “Candlestick Patterns in Context by DGT", “Ichimoku Colored SuperTrend + Colored DMI by DGT”, “Colored Directional Movement and Bollinger Band's Cloud by DGT”, and “Technical Analyst by DGT” Price Convergence/Divergence , if we pay attention to mathematical formulations of bull power, bear power and price convergence/divergence (also can be expressed as price distance to its ma) we would clearly observe that price convergence/divergence is in fact the result of how the market performed based on the fact that we assume 13-period EMA is consensus of price value. Then, we may assume that the price convergence/divergence crosses of bull power, or bear power, or sum of bull and bear power could be considered as potential trading signals Additionally, price convergence/divergence visualizes the belief that prices high above the moving average or low below it are likely to be remedied in the future by a reverse price movement Alternatively, Least Squares Moving Average of Price Convergence/Divergence (also known as Linear Regression Curve) can be plotted instead of Price Convergence/Divergence which can be considered as a smoothed version of Price Convergence/Divergence Note : different usages of Price Convergence/Divergence can be observed with studies “Trading Psychology - Fear & Greed Index by DGT”, “Price Distance to its MA by DGT”, “P-MACD by DGT”, where “Price Distance to its MA by DGT” can also be considered as educational content which includes an article of a research carried on the topic Options of Visualization Bull and Bear Power plotted as two separate • histograms • lines • bands Sum of Bull and Bear Power plotted as single • histogram • line • band Others Price Convergence/Divergence displayed as Line CDMI is displayed as single colored line of triangle shapes, where triangle shapes displays direction of the trend (triangle up represents bull and triangle down represent bear), colors of CDMI displays the strength of the trend (green – strong bullish, red – strong bearish, gray – no trend, yellow – week trend) In general with this study, color densities also have a meaning and aims to displays if the value of the indicator is falling or growing, darker colors displays more intense move comparing to light one Note : band's upper and lower levels are calculated by using standard deviation build-in function with multiply factor of 0.236 Fibonacci’s ratio (just a number for our case, no any meaning) Smoothing No smoothing is applied by default but the capability is added in case Price Convergence/Divergence Line is assumed to be used as a signal line it will be worth smoothing the bear, bull or sum of bear and bull power indicators Interpreting Elder-Ray Indicator, according to Dr. Alexander Elder Bull Power should remain positive in normal circumstances, while Bear Power should remain negative in normal circumstances. In case the Bull Power indicator enters into negative territory, this implies that sellers have overcome buyers and control the market. In case the Bear Power indicator enters into positive territory, this indicates that buyers have overcome sellers and control the market. A trader should not go long at times when the Bear Power indicator is positive and he/she should not go short at times when the Bull Power indicator is negative. 13-period EMAs slope can be used in order to identify the direction of the major trend. According to Elder, the most reliable buy signals are generated, when there is a bullish divergence between the Bear Power indicator and the price (Bear Power forms higher lows, while the market forms lower lows). The most reliable sell signals are generated, when there is a bearish divergence between the Bull Power indicator and the price (Bull Power forms lower highs, while the market forms higher highs). There are four basic conditions, required to go long or short, with the use of the Elder-Ray method alone. In order to go long: 1. The market is in a bull trend, as indicated by the 13-period EMA 2. Bear Power is in negative territory, but increasing 3. The most recent Bull Power top is higher than its prior top 4. Bear Power is going up from a bullish divergence The last two conditions are optional that fine-tune the buying decision In order to go short: 1. The market is in a bear trend, as indicated by the 13-period EMA 2. Bull Power is in positive territory, but falling 3. The most recent Bear Power bottom is lower than its prior bottom 4. Bull Power is falling from a bearish divergence The last two conditions are optional, they provide a stronger signal for shorting but they are not absolutely essential If a trader is willing to add to his/her position, he/she needs to: 1. add to his/her long position, when the Bear Power falls below zero and then climbs back into positive territory 2. add to his/her short position, when the Bull Power increases above zero and then drops back into negative territory. note : terminology of the definitions used herein are as per TV dictionary Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
由dgtrd提供
56
SPPO — Simple Percentage Price Oscillator SPPO is Simple Percentage Price Oscillator . SPPO is calculated as the ratio of the current price to the moving average. This indicator is used in the trading strategy to determine overbought and oversold markets. Chart period D1. I use this oscillator on the BTCUSD and ETHUSD pairs. It can also be used on other top crypto symbols. If SPPO on the BTCUSDT chart > 35%, this means that in the Bitcoin market pamp . So it’s time to close long positions. If SPPO on the bitcoin chart is <-30%, then bitcoin is oversold and you need to think about starting to buy it. Recommended timeframe: 1d Input parameters: MA Length — number of bars for moving average. Default = 25. Source — type of price used to calculate the MA. Default = close. High Level — upper horizontal constant on the SPPO chart. Default = 35. Low Level — lower horizontal constant on the SPPO chart. Default = -35. Simple MA(Oscillator) — type of MA indicator used. If false = Exponential Moving Average , if true = Simple Moving Average . Default = true.
Pine Script®指標
由Elrid提供
Multi-Bollinger [DW]This is an experimental study designed to visualize trend activity and volatility using a set of two Bollinger Bands calculated with a basis moving average type of your choice. The available moving averages in this script are: -Exponential Moving Average -Simple Moving Average -Weighted Moving Average -Volume Weighted Moving Average -Hull Moving Average -Least Squares Moving Average -Arnaud Legoux Moving Average -Coefficient of Variation Weighted Moving Average -Fractal Adaptive Moving Average -Kaufman's Adaptive Moving Average In addition, a middle filter is calculated by taking the median of the two basis lines. Multi-Timeframe functionality is included. You can choose any timeframe that Tradingview supports as the basis resolution for the bands. Custom bar color scheme is included with four options to choose from.
Pine Script®指標
由DonovanWall提供
Volume Weighted Average Divergence [DW]This is an experimental study inspired by the volume weighted moving average convergence divergence (VWMACD) concept. In this formula, divergences between two volume weighted moving averages and two simple moving averages over their respective lookback periods are calculated. The difference between the divergences is calculated, then the difference between the result and an exponential moving average of the result are calculated to provide a histogram. Finally, the mean value between the two divergences is calculated to provide the VWAD line. Custom bar colors are also included.
Pine Script®指標
由DonovanWall提供
2
Ichimoku Kinko Hyo + HULL-MA_X + MacDThe Ichimoku Kinko Hyo system includes five kinds of signal, of which this strategy uses the most recent of ones i.e. Tenkan Sen / Kijun Sen Cross and price crosses the Kijun Sen. As the Chikou Span, Senkou Span A and Senkou Span B are shifted into the past/future, the trigger signals will be only be used for visual confirmation and not part of the strategy. The Tenkan Sen, also known as the Turning or Conversion line, is a moving average of the highest high and lowest low over the last 9 periods in this strategy. The Kijun Sen, also known as the Standard or Base line, is a moving average of the highest high and lowest low over the last 24 periods in this strategy. The Chikou Span, also known as the Lagging line, is the closing price plotted 24 periods behind in this strategy. The Senkou Span A, also known as the 1st leading line, is a moving average of the Tenkan Sen and Kijun Sen and is plotted 24 periods ahead in this strategy. The Senkou Span B, also known as the 2nd leading line, is a moving average of the highest high and lowest low over the last 51 trading days is plotted 24 periods ahead in this strategy. Moving average convergence divergence (MaCD) is a trend-following momentum indicator that shows the relationship between two moving averages of prices. The MaCD is calculated in this strategy by subtracting the 24-day exponential moving average (EMA) from the 12-day EMA. A nine-day EMA of the MACD, called the "signal line", aMaCD in this case, is then plotted on top of the MaCD. In this strategy, MaCD/ aMaCD Cross is functioning as a trigger for buy and sell signals. As with most technical analysis methods, Ichimoku is likely to produce frequent conflicting signals in non-trending markets, So in addition to Ichimoku Kinko Hyo, the Hull MA is popular amongst some day traders, as the indicator which in combination with MaCD attempts to give an accurate signal by eliminating lags and improving the smoothness of the line. Alan Hull, developed this moving average indicator and hence it’s called the Hull MA. Now, let’s dissect how the Hull moving average is calculated. The Hull MA involves the weighted moving average (WMA) in its calculation. First, calculate the WMA with period (n / 2) and multiply this by 2. Remember ‘n’ is the time period configurable based on the trader’s requirement. The default setting is 12 periods in this strategy, fast Hull MA crossing slow Hull MA will generate a circle on charts. Second, calculate the WMA for period “n” and subtract if from the first step. Thirdly, calculate the weighted moving average with period sqrt (n) using the data from the second step. You can take a look at the below formula: Hull MA= WMA (2*WMA (n/2) − WMA (n)), sqrt (n)) The Hull MA Cross in combination with Tenkan Sen / Kijun Sen Cross and MaCD tries to give an accurate signal by eliminating lags and improve the smoothness of price activity. Please note that price trends can and do change often, so your readings of the charts and this trading system should be probabilistic, rather than predictive.
Pine Script®策略
由emohil提供
9
EMARCOThis is the study of the ratio of the MACD exponential moving averages, 0.993 and 1.003 were used to define the overextended positions since this is the highest the oscillator usually goes, price tends to reverse when overextended. RE1 (ratio equation 1) = the fast Exponential Moving Average (12 points) divided by the slow Exponential Moving Average (26 points) and RE2 is reciprocal. Here we see that when the RE1 is greater than RE2 price tends to drop and so when the opposite is true
Pine Script®指標
由DarkMessiah777提供
1
Variable Moving Average [LazyBear]Variable Moving Average, often abbreviated as VMA, is an Exponential Moving Average developed by Tushar S. Chande. VMA automatically adjusts its smoothing constant on the basis of Market Volatility. Use this like other Moving Averages. I have added the following options that can be enabled via options page: - Trend Direction Indication: Green = Up trend, Blue = Potential congestion, Red = down trend. - Color bars based on Trend More info: www.thewizardtrader.com List of my other indicators: - GDoc: docs.google.com - Chart:
Pine Script®指標
由LazyBear提供
51
Intrabar Volume Flow IntelligenceIntrabar Volume Flow Intelligence: A Comprehensive Analysis: The Intrabar Volume Flow Intelligence indicator represents a sophisticated approach to understanding market dynamics through the lens of volume analysis at a granular, intrabar level. This Pine Script version 5 indicator transcends traditional volume analysis by dissecting price action within individual bars to reveal the true nature of buying and selling pressure that often remains hidden when examining only the external characteristics of completed candlesticks. At its core, this indicator operates on the principle that volume is the fuel that drives price movement, and by understanding where volume is being applied within each bar—whether at higher prices indicating buying pressure or at lower prices indicating selling pressure—traders can gain a significant edge in anticipating future price movements before they become obvious to the broader market. The foundational innovation of this indicator lies in its use of lower timeframe data to analyze what happens inside each bar on your chart timeframe. While most traders see only the open, high, low, and close of a five-minute candle, for example, this indicator requests data from a one-minute timeframe by default to see all the individual one-minute candles that comprise that five-minute bar. This intrabar analysis allows the indicator to calculate a weighted intensity score based on where the price closed within each sub-bar's range. If the close is near the high, that volume is attributed more heavily to buying pressure; if near the low, to selling pressure. This methodology is far more nuanced than simple tick volume analysis or even traditional volume delta calculations because it accounts for the actual price behavior and distribution of volume throughout the formation of each bar, providing a three-dimensional view of market participation. The intensity calculation itself demonstrates the coding sophistication embedded in this indicator. For each intrabar segment, the indicator calculates a base intensity using the formula of close minus low divided by the range between high and low. This gives a value between zero and one, where values approaching one indicate closes near the high and values approaching zero indicate closes near the low. However, the indicator doesn't stop there—it applies an open adjustment factor that considers the relationship between the close and open positions within the overall range, adding up to twenty percent additional weighting based on directional movement. This adjustment ensures that strongly directional intrabar movement receives appropriate emphasis in the final volume allocation. The adjusted intensity is then bounded between zero and one to prevent extreme outliers from distorting the analysis, demonstrating careful consideration of edge cases and data integrity. The volume flow calculation multiplies this intensity by the actual volume transacted in each intrabar segment, creating buy volume and sell volume figures that represent not just quantity but quality of market participation. These figures are accumulated across all intrabar segments within the parent bar, and simultaneously, a volume-weighted average price is calculated for the entire bar using the typical price of each segment multiplied by its volume. This intrabar VWAP becomes a critical reference point for understanding whether the overall bar is trading above or below its fair value as determined by actual transaction levels. The deviation from this intrabar VWAP is then used as a weighting mechanism—when the close is significantly above the intrabar VWAP, buying volume receives additional weight; when below, selling volume is emphasized. This creates a feedback loop where volume that moves price away from equilibrium is recognized as more significant than volume that keeps price near balance. The imbalance filter represents another layer of analytical sophistication that separates meaningful volume flows from normal market noise. The indicator calculates the absolute difference between buy and sell volume as a percentage of total volume, and this imbalance must exceed a user-defined threshold—defaulted to twenty-five percent but adjustable from five to eighty percent—before the volume flow is considered significant enough to register on the indicator. This filtering mechanism ensures that only bars with clear directional conviction contribute to the cumulative flow measurements, while bars with balanced buying and selling are essentially ignored. This is crucial because markets spend considerable time in equilibrium states where volume is simply facilitating position exchanges without directional intent. By filtering out these neutral periods, the indicator focuses trader attention exclusively on moments when one side of the market is demonstrating clear dominance. The decay factor implementation showcases advanced state management in Pine Script coding. Rather than allowing imbalanced volume to simply disappear after one bar, the indicator maintains decayed values using variable state that persists across bars. When a new significant imbalance occurs, it replaces the decayed value; when no significant imbalance is present, the previous value is multiplied by the decay factor, which defaults to zero point eight-five. This means that a large volume imbalance continues to influence the indicator for several bars afterward, gradually diminishing in impact unless reinforced by new imbalances. This decay mechanism creates persistence in the flow measurements, acknowledging that large institutional volume accumulation or distribution campaigns don't execute in single bars but rather unfold across multiple bars. The cumulative flow calculation then sums these decayed values over a lookback period, creating a running total that represents sustained directional pressure rather than momentary spikes. The dual moving average crossover system applied to these volume flows creates actionable trading signals from the underlying data. The indicator calculates both a fast exponential moving average and a slower simple moving average of the buy flow, sell flow, and net flow values. The use of EMA for the fast line provides responsiveness to recent changes while the SMA for the slow line provides a more stable baseline, and the divergence or convergence between these averages signals shifts in volume flow momentum. When the buy flow EMA crosses above its SMA while volume is elevated, this indicates that buying pressure is not only present but accelerating, which is the foundation for the strong buy signal generation. The same logic applies inversely for selling pressure, creating a symmetrical approach to detecting both upside and downside momentum shifts based on volume characteristics rather than price characteristics. The volume threshold filtering ensures that signals only generate during periods of statistically significant market participation. The indicator calculates a simple moving average of total volume over a user-defined period, defaulted to twenty bars, and then requires that current volume exceed this average by a multiplier, defaulted to one point two times. This ensures that signals occur during periods when the market is actively engaged rather than during quiet periods when a few large orders can create misleading volume patterns. The indicator even distinguishes between high volume—exceeding the threshold—and very high volume—exceeding one point five times the threshold—with the latter triggering background color changes to alert traders to exceptional participation levels. This tiered volume classification allows traders to calibrate their position sizing and conviction levels based on the strength of market participation supporting the signal. The flow momentum calculation adds a velocity dimension to the volume analysis. By calculating the rate of change of the net flow EMA over a user-defined momentum length—defaulted to five bars—the indicator measures not just the direction of volume flow but the acceleration or deceleration of that flow. A positive and increasing flow momentum indicates that buying pressure is not only dominant but intensifying, which typically precedes significant upward price movements. Conversely, negative and decreasing flow momentum suggests selling pressure is building upon itself, often preceding breakdowns. The indicator even calculates a second derivative—the momentum of momentum, termed flow acceleration—which can identify very early turning points when the rate of change itself begins to shift, providing the most forward-looking signal available from this methodology. The divergence detection system represents one of the most powerful features for identifying potential trend reversals and continuations. The indicator maintains separate tracking of price extremes and flow extremes over a lookback period defaulted to fourteen bars. A bearish divergence is identified when price makes a new high or equals the recent high, but the net flow EMA is significantly below its recent high—specifically less than eighty percent of that high—and is declining compared to its value at the divergence lookback distance. This pattern indicates that while price is pushing higher, the volume support for that movement is deteriorating, which frequently precedes reversals. Bullish divergences work inversely, identifying situations where price makes new lows without corresponding weakness in volume flow, suggesting that selling pressure is exhausted and a reversal higher is probable. These divergence signals are plotted as distinct diamond shapes on the indicator, making them visually prominent for trader attention. The accumulation and distribution zone detection provides a longer-term context for understanding institutional positioning. The indicator uses the bars-since function to track consecutive periods where the net flow EMA has remained positive or negative. When buying pressure has persisted for at least five consecutive bars, average intensity exceeds zero point six indicating strong closes within bar ranges, and volume is elevated above the threshold, the indicator identifies an accumulation zone. These zones suggest that smart money is systematically building long positions across multiple bars despite potentially choppy or sideways price action. Distribution zones are identified through the inverse criteria, revealing periods when institutions are systematically exiting or building short positions. These zones are visualized through colored fills on the indicator pane, creating a backdrop that helps traders understand the broader volume flow context beyond individual bar signals. The signal strength scoring system provides a quantitative measure of conviction for each buy or sell signal. Rather than treating all signals as equal, the indicator assigns point values to different signal components: twenty-five points for the buy flow EMA-SMA crossover, twenty-five points for the net flow EMA-SMA crossover, twenty points for high volume presence, fifteen points for positive flow momentum, and fifteen points for bullish divergence presence. These points are summed to create a buy score that can range from zero to one hundred percent, with higher scores indicating that multiple independent confirmation factors are aligned. The same methodology creates a sell score, and these scores are displayed in the information table, allowing traders to quickly assess whether a signal represents a tentative suggestion or a high-conviction setup. This scoring approach transforms the indicator from a binary signal generator into a nuanced probability assessment tool. The visual presentation of the indicator demonstrates exceptional attention to user experience and information density. The primary display shows the net flow EMA as a thick colored line that transitions between green when above zero and above its SMA, indicating strong buying, to a lighter green when above zero but below the SMA, indicating weakening buying, to red when below zero and below the SMA, indicating strong selling, to a lighter red when below zero but above the SMA, indicating weakening selling. This color gradient provides immediate visual feedback about both direction and momentum of volume flows. The net flow SMA is overlaid in orange as a reference line, and a zero line is drawn to clearly delineate positive from negative territory. Behind these lines, a histogram representation of the raw net flow—scaled down by thirty percent for visibility—shows bar-by-bar flow with color intensity reflecting whether flow is strengthening or weakening compared to the previous bar. This layered visualization allows traders to simultaneously see the raw data, the smoothed trend, and the trend of the trend, accommodating both short-term and longer-term trading perspectives. The cumulative delta line adds a macro perspective by maintaining a running sum of all volume deltas divided by one million for scale, plotted in purple as a separate series. This cumulative measure acts similar to an on-balance volume calculation but with the sophisticated volume attribution methodology of this indicator, creating a long-term sentiment gauge that can reveal whether an asset is under sustained accumulation or distribution across days, weeks, or months. Divergences between this cumulative delta and price can identify major trend exhaustion or reversal points that might not be visible in the shorter-term flow measurements. The signal plotting uses shape-based markers rather than background colors or arrows to maximize clarity while preserving chart space. Strong buy signals—meeting multiple criteria including EMA-SMA crossover, high volume, and positive momentum—appear as full-size green triangle-up shapes at the bottom of the indicator pane. Strong sell signals appear as full-size red triangle-down shapes at the top. Regular buy and sell signals that meet fewer criteria appear as smaller, semi-transparent circles, indicating they warrant attention but lack the full confirmation of strong signals. Divergence-based signals appear as distinct diamond shapes in cyan for bullish divergences and orange for bearish divergences, ensuring these critical reversal indicators are immediately recognizable and don't get confused with momentum-based signals. This multi-tiered signal hierarchy helps traders prioritize their analysis and avoid signal overload. The information table in the top-right corner of the indicator pane provides real-time quantitative feedback on all major calculation components. It displays the current bar's buy volume and sell volume in millions with appropriate color coding, the imbalance percentage with color indicating whether it exceeds the threshold, the average intensity score showing whether closes are generally near highs or lows, the flow momentum value, and the current buy and sell scores. This table transforms the indicator from a purely graphical tool into a quantitative dashboard, allowing discretionary traders to incorporate specific numerical thresholds into their decision frameworks. For example, a trader might require that buy score exceed seventy percent and intensity exceed zero point six-five before taking a long position, creating objective entry criteria from subjective chart reading. The background shading that occurs during very high volume periods provides an ambient alert system that doesn't require focused attention on the indicator pane. When volume spikes to one point five times the threshold and net flow EMA is positive, a very light green background appears across the entire indicator pane; when volume spikes with negative net flow, a light red background appears. These backgrounds create a subliminal awareness of exceptional market participation moments, ensuring traders notice when the market is making important decisions even if they're focused on price action or other indicators at that moment. The alert system built into the indicator allows traders to receive notifications for strong buy signals, strong sell signals, bullish divergences, bearish divergences, and very high volume events. These alerts can be configured in TradingView to send push notifications to mobile devices, emails, or webhook calls to automated trading systems. This functionality transforms the indicator from a passive analysis tool into an active monitoring system that can watch markets continuously and notify the trader only when significant volume flow developments occur. For traders monitoring multiple instruments, this alert capability is invaluable for efficient time allocation, allowing them to analyze other opportunities while being instantly notified when this indicator identifies high-probability setups on their watch list. The coding implementation demonstrates advanced Pine Script techniques including the use of request.security_lower_tf to access intrabar data, array manipulation to process variable-length intrabar arrays, proper variable scoping with var keyword for persistent state management across bars, and efficient conditional logic that prevents unnecessary calculations. The code structure with clearly delineated sections for inputs, calculations, signal generation, plotting, and alerts makes it maintainable and educational for those studying Pine Script development. The use of input groups with custom headers creates an organized settings panel that doesn't overwhelm users with dozens of ungrouped parameters, while still providing substantial customization capability for advanced users who want to optimize the indicator for specific instruments or timeframes. For practical trading application, this indicator excels in several specific use cases. Scalpers and day traders can use the intrabar analysis to identify accumulation or distribution happening within the bars of their entry timeframe, providing early entry signals before momentum indicators or price patterns complete. Swing traders can use the cumulative delta and accumulation-distribution zones to understand whether short-term pullbacks in an uptrend are being bought or sold, helping distinguish between healthy retracements and trend reversals. Position traders can use the divergence detection to identify major turning points where price extremes are not supported by volume, providing low-risk entry points for counter-trend positions or warnings to exit with-trend positions before significant reversals. The indicator is particularly valuable in ranging markets where price-based indicators produce numerous false breakout signals. By requiring that breakouts be accompanied by volume flow imbalances, the indicator filters out failed breakouts driven by low participation. When price breaks a range boundary accompanied by a strong buy or sell signal with high buy or sell score and very high volume, the probability of successful breakout follow-through increases dramatically. Conversely, when price breaks a range but the indicator shows low imbalance, opposing flow direction, or low volume, traders can fade the breakout or at minimum avoid chasing it. During trending markets, the indicator helps traders identify the healthiest entry points by revealing where pullbacks are being accumulated by smart money. A trending market will show the cumulative delta continuing in the trend direction even as price pulls back, and accumulation zones will form during these pullbacks. When price resumes the trend, the indicator will generate strong buy or sell signals with high scores, providing objective entry points with clear invalidation levels. The flow momentum component helps traders stay with trends longer by distinguishing between healthy momentum pauses—where momentum goes to zero but doesn't reverse—and actual momentum reversals where opposing pressure is building. The VWAP deviation weighting adds particular value for traders of liquid instruments like major forex pairs, stock indices, and high-volume stocks where VWAP is widely watched by institutional participants. When price deviates significantly from the intrabar VWAP and volume flows in the direction of that deviation with elevated weighting, it indicates that the move away from fair value is being driven by conviction rather than mechanical order flow. This suggests the deviation will likely extend further, creating continuation trading opportunities. Conversely, when price deviates from intrabar VWAP but volume flow shows reduced intensity or opposing direction despite the weighting, it suggests the deviation will revert to VWAP, creating mean reversion opportunities. The ATR normalization option makes the indicator values comparable across different volatility regimes and different instruments. Without normalization, a one-million share buy-sell imbalance might be significant for a low-volatility stock but trivial for a high-volatility cryptocurrency. By normalizing the delta by ATR, the indicator accounts for the typical price movement capacity of the instrument, making signal thresholds and comparison values meaningful across different trading contexts. This is particularly valuable for traders running the indicator on multiple instruments who want consistent signal quality regardless of the underlying instrument characteristics. The configurable decay factor allows traders to adjust how persistent they want volume flows to remain influential. For very short-term scalping, a lower decay factor like zero point five will cause volume imbalances to dissipate quickly, keeping the indicator focused only on very recent flows. For longer-term position trading, a higher decay factor like zero point nine-five will allow significant volume events to influence the indicator for many bars, revealing longer-term accumulation and distribution patterns. This flexibility makes the single indicator adaptable to trading styles ranging from one-minute scalping to daily chart position trading simply by adjusting the decay parameter and the lookback bars. The minimum imbalance percentage setting provides crucial noise filtering that can be optimized per instrument. Highly liquid instruments with tight spreads might show numerous small imbalances that are meaningless, requiring a higher threshold like thirty-five or forty percent to filter noise effectively. Thinly traded instruments might rarely show extreme imbalances, requiring a lower threshold like fifteen or twenty percent to generate adequate signals. By making this threshold user-configurable with a wide range, the indicator accommodates the full spectrum of market microstructure characteristics across different instruments and timeframes. In conclusion, the Intrabar Volume Flow Intelligence indicator represents a comprehensive volume analysis system that combines intrabar data access, sophisticated volume attribution algorithms, multi-timeframe smoothing, statistical filtering, divergence detection, zone identification, and intelligent signal scoring into a cohesive analytical framework. It provides traders with visibility into market dynamics that are invisible to price-only analysis and even to conventional volume analysis, revealing the true intentions of market participants through their actual transaction behavior within each bar. The indicator's strength lies not in any single feature but in the integration of multiple analytical layers that confirm and validate each other, creating high-probability signal generation that can form the foundation of complete trading systems or provide powerful confirmation for discretionary analysis. For traders willing to invest time in understanding its components and optimizing its parameters for their specific instruments and timeframes, this indicator offers a significant informational advantage in increasingly competitive markets where edge is derived from seeing what others miss and acting on that information before it becomes consensus.
Pine Script®指標
由jaydesaigu提供
MTF Dynamic MA TrackerThis indicator allows you to track the behavior of price relative to a key Moving Average across up to 9 different timeframes simultaneously. The idea behind this tool is to see what your favourite MA is doing at various TFs while solving the problem of "chart clutter." Plotting 9 different Moving Averages on a single chart usually results in a messy interface that is hard to read. This script solves that using Dynamic Dimming. Default Settings: By default, the script is configured to track the EMA 200 (Exponential Moving Average). However, this is for illustration purposes only. You can fully customize the indicator to track your preferred Moving Average Type (EMA, SMA, HMA, WMA, or RMA) and your preferred Length (e.g., 50, 100, 200) in the settings menu. Key Features: Multi-Timeframe Tracking: Monitor your chosen Moving Average across 9 user-defined timeframes (e.g., 1m, 5m, 15m, 1H, 4H, Daily, etc.) directly on your current chart. Dynamic Visibility (Dimming): By default, the MA lines remain transparent (dimmed) to keep your chart clean. The lines automatically brighten (light up) only when the price comes within a specific proximity of the MA. This highlights immediate Support or Resistance levels without visual noise. You can customize the "Proximity Method" using either a Percentage of price or an ATR multiplier. Tag Detection & Alerts: The script detects "Tags"—moments where price interacts with a Moving Average (e.g., wicks into it and closes back above/below). Bull Tag (Support): Price dips into the MA but closes above it. Bear Tag (Resistance): Price spikes into the MA but closes below it. You can set alerts to trigger whenever these interactions occur on any monitored timeframe. Dashboard (Nexus): A status table displays "Clusters" (when price is near multiple MAs simultaneously) and lists any active Bull/Bear tags occurring on the current bar. Customization: MA Type: Choose between EMA, SMA, HMA, WMA, or RMA. MA Length: Input any length (Default: 200). Timeframes: Individually enable/disable and select up to 9 specific timeframes. Dimming: Adjust the transparency for "dimmed" vs "bright" states.
Pine Script®指標
由ChiragPatnaik提供
byquan Indicator A - EMA20 Early Retest BUY (Trend Filter)Indicator A – EMA20 Early Retest (Trend-Filtered Buy Setup) Overview Indicator A – EMA20 Early Retest is a trend-following tool designed to identify early pullback buy opportunities using only EMA structure, without relying on candlestick patterns. The indicator focuses on: EMA alignment EMA momentum Controlled pullbacks Early retests before a full breakout It is designed to generate one signal per trend leg, helping reduce noise and repeated entries. ⚠️ This indicator is intended for educational and analytical purposes only. It does not provide trading advice or guarantee any performance. Core Concept The logic behind Indicator A is based on a simple observation: In a healthy uptrend, EMA20 often pulls back after a strong move, then retests near its previous peak before continuing. Instead of waiting for a breakout or reacting late, this indicator attempts to highlight early retest zones, where momentum may resume while risk remains relatively controlled. EMA Structure Used The indicator uses three exponential moving averages: EMA20 → short-term momentum EMA50 → medium-term trend EMA100 → higher timeframe structure Only the EMA values themselves are used. No candle shapes, wicks, or price patterns are involved. Buy Conditions (High-Level) A BUY signal is considered only when all of the following steps occur in sequence: 1. EMA20 Crosses Up EMA20 must cross above EMA50 or EMA100, signaling the start of a potential bullish momentum phase. This event initializes a new setup. 2. EMA20 Builds a Peak After the cross: EMA20 continues rising The indicator tracks the highest EMA20 value The peak is considered valid only after EMA20 starts declining for more than one step, helping avoid minor fluctuations 3. Deep Pullback Requirement EMA20 must pull back by a minimum percentage of the total move from: the cross point → to the EMA20 peak This pullback depth is configurable (default: 25%). Shallow pullbacks are ignored. 4. Early Retest Zone After a valid pullback, the indicator waits for EMA20 to rise again and reach approximately 90% of the previous EMA20 peak. This is called an early retest: The peak does not need to be broken Momentum resumption is detected before a full breakout 5. Trend Filter (Critical) A BUY signal is allowed only if: EMA50 is above EMA100 This filter ensures that signals are aligned with the broader trend structure and helps avoid counter-trend setups. If the early retest occurs while this condition is not met, the setup is discarded permanently. Signal Behavior Only one BUY signal is generated per EMA20 trend cycle After a signal (or a discarded setup), the indicator locks and waits for a new EMA20 cross This design prevents repeated or clustered signals Inputs Explained Pullback Depth (%) Defines how deep EMA20 must retrace from its peak before a retest is considered. Early Retest Ratio Defines how close EMA20 must return to its previous peak (default: 90%). These parameters allow users to adapt the indicator to different timeframes or market conditions. How to Use the Indicator Indicator A is best used as: A trend continuation confirmation tool A confluence layer, combined with: Higher timeframe analysis Risk management rules Personal trading plans It is not designed to: Predict market direction Replace risk management Act as a standalone trading system Timeframes & Markets The indicator can be applied to: Forex Crypto Indices Stocks Performance and behavior may vary depending on: Market volatility Timeframe EMA sensitivity Users are encouraged to observe and test the indicator in their own environment. Final Notes This script is intentionally designed to be: Rule-based Conservative Noise-resistant All logic is deterministic and transparent. There are no repainting elements. Always evaluate indicators as part of a broader analytical framework. Past behavior does not imply future results.
Pine Script®指標
由teshakiestler提供