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חפש סקריפטים עבור "200元+股票大盘"

Time Wolna_2021_iun3[wozdux] Description of the Time_Wolna indicator The indicator is designed to study the behavior of time. There are many indicators that study just the price, a little less indicators that study the volume of trading and vanishingly few indicators that study time. This is not an oscillator, it does not have oversold or overbought levels. This indicator has an indefinite beginning and an indefinite end. Its value is not in the absolute values of the indicator, but in relative ones. This indicator calculates the time of price rise and the time of price decline. It clearly shows how long the price rises and how long the price falls. The initial idea was to use my RSIVol indicator to study the time. Each bar is counted as a unit of time. If the price rises during the period of one bar, then one is added, if the price falls, then one is subtracted. By default, the blue line shows this time movement according to the RsiVol indicator. The basic RsiVol indicator is shown at the bottom of the diagram. The bill goes along the blue line, which calculates the movement of the volume price. If the blue RSIVol line is above the yellow level, then the blue Time_Wolna time line is colored green. If the blue line in the base RsiVol indicator falls below the lower yellow level, then the blue time line of the Time_Wolna indicator turns red. The result is a broken line that clearly shows the waves of rising and falling prices. In principle, the time indicator makes it easier to recognize waves. It is known that time plays an important role in Elliott wave analysis, although in practice this is almost never done. The mention of Elliott is just a lyrical digression. Time is very difficult to study. This indicator does not give clear buy or sell signals. This is just an analysis tool to help analysts. In addition to the RsiVol indicator, simply the Rsi from the price and a simple moving average from the price are also used. So, the settings of this indicator. "switch Price == close <==> ( High+Low)/2" -- select the base price in all subsequent calculations "Key EMA=> True=ema(Price); False=ema(Price*Volume)" --The key for switching the moving average from the price or from the volume price. "T==> EMA(price, T)" --The period for calculating the moving average " key red==> Yes/No Rsi")--the key turns on or off the RSI line red line "key green==> Yes/No Orsi") --the key turns on or off the Volume RSI line green line " key olive==> Yes/No RsiVol200 " -- the key enables or disables the Volumetric RSIVol200 olive line. This is RsiVol minus the 200-period moving average. "keyVol blue==> Yes/No " - the key enables or disables the base blue line RSIVol "keyVol blue==> V->tt(RsiVol) ->tt(ema(Price))"—The blue line selection will be calculated as the time from RSIVol or as the time from the moving average EMA. "keyVol blue==> : 1=Time, 2=Time* price, 3=Time*(Ci-Ck) 4=Time*Volume, 5=Time*price*Volume")- selection for the blue baseline. By default, the time of the price rise or fall is calculated simply. Key=1. But you can investigate the joint influence of time and price and then the key is=2. If we study the combined effect of time and price changes per bar, then the key=3. If we study the joint influence of time and volume, then the key=4. If we study the joint influence of time, price and volume, then the key=5. "key RsiO red + green==> : 1=Time, 2=Time*Price, 3=Time*(Ci-Ck) 4=Time*Volume, 5=Time*Price*Volume") - - - similar settings for the red green line. By default, the time of the price rise or fall is calculated simply. Key=1. But you can investigate the joint influence of time and price and then the key is=2. If we study the combined effect of time and price changes per bar, then the key=3. If we study the joint influence of time and volume, then the key=4. If we study the joint influence of time, price and volume, then the key=5. "Key Color – - here you can disable changing the color of the blue line to green or red when the base indicator RsiVol exits above the upper and below the lower levels. "Level nul ==> * Down Level Rsi - screen configuration in order to raise or lower chart "Level nul ==> * Down Level ORsi -- beauty setup in order to raise or lower chart "Level nul ==> * DownLevel RsiVol200 -- beauty setup in order to raise or lower chart "blue =volume * price" – period for calculation of volumetric rates "blue => RSIVOL(Volume*price,len) and EMA" – the period for calculating RsiVol "blue__o1=> ema ( RSIVOL, o1)" – additional smoothing RsiVol "red=rsi (Price,14)" – the period for calculating Rsi "red= ema ( RSI ,3)" -- additional smoothing Rsi "fuchsia__ => RsiVol200 (vp,200)" - the period for calculating RsiVol200 "fuchsia__o2=> ema ( RSIVOL200 , o2)" -- additional smoothing RsiVol200 To study the time between two fixed dates. Setting the start point of the calculation and the end point of the calculation "Data(0)=Year" – the year of the start date "Data(0)= Month" – the month of the start date "Data (0)=Day" the day of the start date "Data(1)=Year" – the year of the end date. "Data(1)=Year" – month of the end date. "Data(1)=Day" -- the day of the end date. --------русский вариант описания ------ Описание индикатора Time_Wolna Индикатор призван изучать поведение времени. Есть много индикаторов изучающих просто цену, немного меньше индикаторов изучающих объем торгов и исчезающе мало индикаторов, изучающих время. Это не осциллятор у него нет уровней перепроданности или перекупленности. Данный индикатор имеет неопределенное начало и неопределенный конец. Ценность его не в абсолютных значениях индикатора, а в относительных. Этот индикатор высчитывает время подъема цены и время снижения цены. Он наглядно показывает сколько времени цена поднимается и сколько времени цена опускается. Первоначальная идея была использовать мой индикатор RSIVol для изучения времени. Каждый бар считается за единицу времени. Если цена поднимается за период одного бара, то прибавляется единица, если цена опускается, то вычитается единица. По умолчанию голубая линия показывает такое движения времени по индикатору RsiVol. Внизу на диаграмме показан базовый индикатор RsiVol. Счёт идет по синей линии, которая вычисляет движение объемной цены. Если синяя линия RSIVol находится выше желтого уровня, то голубая линия времени Time_Wolna окрашивается в зеленый цвет. Если синяя линия в базовом индикаторе RsiVol опускается ниже нижнего желтого уровня, то голубая линия времени индикатора Time_Wolna окрашивается в красный цвет. В результате получается ломанная линия, четко показывающая волны восхождения и снижения цены. В принципе индикатор времени позволяет легче распознавать волны. Известно, что время играет важную роль в волновом анализе Эллиотта, хотя на практике это почти никогда не делается. Упоминание Эллиотта это просто лирическое отступление. Время очень трудно изучать. Этот индикатор не дает четких сигналов на покупку или продажу. Это всего лишь инструмент анализа в помощь аналитикам. Кроме индикатора RsiVol, используются и просто Rsi от цены и простая скользящая средняя от цены. Итак, настройки данного индикатора. "switch Price == close <==> ( High+Low)/2" -- выбираем базовую цену во всех последующих вычислениях "Key EMA=> True=ema(Price); False=ema(Price*Volume)" --Ключ переключения скользящей средней от цены или от объемной цены. " T==> EMA(price,T)"--Период вычисления скользящей средней "key red==> Yes/No Rsi")--ключ включает или выключает линию RSI красная линия "key green==> Yes/No Orsi") --ключ включает или выключает линию Объемной RSI зеленая линия "key olive==> Yes/No RsiVol200" -- ключ включает или выключает линию Объемной RSIVol200 оливковая линия. Это RsiVol минус 200-периодная скользящая средняя. "keyVol blue==> Yes/No " – ключ включает или выключает базовую голубую линию RSIVol "keyVol blue==> V->tt(RsiVol) ->tt(ema(Price))"—выбор голубая линия будет вычисляться как время от RSIVol или как время от скользящей средней EMA. "keyVol blue==> : 1=Time, 2=Time* price, 3=Time*(Ci-Ck) 4=Time*Volume, 5=Time*price*Volume")—выбор для голубой базовой линии. По умолчанию вычисляется просто время подъема или опускания цены. Ключ=1. Но можно исследовать совместное влияние времени и цены и тогда ключ=2. Если изучаем совместное влияние времени и изменения цены за один бар, то ключ=3. Если изучаем совместное влияние времени и объема, то ключ=4. Если изучаем совместное влияние времени, цены и объема, то ключ=5. "key RsiO red + green==> : 1=Time, 2=Time*Price, 3=Time*(Ci-Ck) 4=Time*Volume, 5=Time*Price*Volume") ---аналогичные настройки для красной зеленой линии. По умолчанию вычисляется просто время подъема или опускания цены. Ключ=1. Но можно исследовать совместное влияние времени и цены и тогда ключ=2. Если изучаем совместное влияние времени и изменения цены за один бар, то ключ=3. Если изучаем совместное влияние времени и объема, то ключ=4. Если изучаем совместное влияние времени, цены и объема, то ключ=5. "Key Color" – здесь можно отключить изменение цвета голубой линии на зеленый или красный в моменты выхода базового индикатора RsiVol выше верхнего и ниже нижнего уровней. "Level nul ==> * Down Level Rsi - косметическая настройка для того, чтобы поднять или опустить график "Level nul ==> * Down Level ORsi -- косметическая настройка для того, чтобы поднять или опустить график "Level nul ==> * DownLevel RsiVol200 -- косметическая настройка для того, чтобы поднять или опустить график " blue =>volume * price" – период для вычисления объемной цены " blue => RSIVOL(Volume*price,len) and EMA" – период для вычисления RsiVol "blue__o1=> ema ( RSIVOL, o1)" – дополнительное сглаживание RsiVol " red=rsi (Price,14)" – период для вычисления Rsi " red= ema ( RSI ,3)" -- дополнительное сглаживание Rsi "fuchsia__ => RsiVol200 (vp,200)" -- период для вычисления RsiVol200 "fuchsia__o2=> ema ( RSIVOL200 , o2)" -- дополнительное сглаживание RsiVol200 Для исследования времени между двумя фиксированными датами. Задаем начальную точку вычисления и конечную точку вычисления "Data(0)=Year" – год начальной даты "Data(0)= Month" – месяц начальной даты "Data(0)=Day" день начальной даты "Data(1)=Year" – год конечной даты. "Data(1)=Year" – месяц конечной даты. "Data(1)=Day" -- день конечной даты.
אינדיקטור Pine Script®
מאת ‎wozdux‎
1
[francrypto® strategy] 4 EMAs, P.SAR & Vol.Prof. (by kv4coins)(ENG) This script consists of my own strategy for cryptocurrency (but can be adapted very well for stocks, forex, etc.) Is a combination of: - Four Exponentials Moving Average (EMA), configurables: by defect are 10, 21, 55 and 200 periods in yellow, aqua, orange and blue each of them - Parabolic SAR System (PSAR), configurable - Volume Profile (that has been developed by kv4coins - he has already authorized me to use it under the same OSS Licence Terms: MPL 2.0), configurable: with another default values and bilingual support for Spanish (SPA) How it works 1) It is always better to detect specifics candlesticks or patrons: doji , pinbar or inverted pinbar , engulfing bars , morning star or evening star , harami , twizzer bottom or top , etc. 2) The 10 and 21 periods EMA help to identify the short-term behavior 3) The 55 periods EMA can be used like a support or resistance in medium-term, as 200 periods EMA in very long-term 4) It will convenient search for a double cross (10 & 21) or a triple cross (10, 21 & 55) to determine the medium-term change Downtrend to UpTrend (or viceversa) 5) Confirm the change patron with the Parabolic SAR and then identify potencials purchases or sales 6) Use Volume profile to detect potential supports or resistances areas, in order to set stop limit/loss and take profit orders. Hope this helps! Cheers, FRANCRYPTO® –––––– 0 –––––– (ESP) Este script consiste en mi propia estrategia para criptomonedas (pero puede adaptarse muy bien para acciones, forex, etc.) Es la combinación de: 1) Cuatro Medias Móviles Exponenciales (EMA), configurables: por defecto son de 10, 21, 55 y 200 períodos en amarillo, turquesa, naranja y azul cada una de ellas 2) Sistema Parabolic SAR (PSAR), configurable 3) Perfil de Volumen (que fuera desarrollado por kv4coins - que ya me ha autorizado a su uso bajo las mismas condiciones de la Licencia OSS: MPL 2.0), configurable: con otros valores por defecto y soporte bilingüe para Español (SPA) Cómo funciona 1) Siempre va a resultar mejor detectar velas japonesas específicas o patrones: doji , martillos o martillos invertidos , velas envolventes , patrón amanecer o atardecer , harami , velas gemelas , etcétera 2) La EMA de 10 y 21 períodos ayudan a identificar el comportamiento de corto plazo 3) La EMA de 55 períodos puede ser usada como un soporte o resistencia de mediano plazo, como así también, la EMA de 200 períodos en el muy largo plazo 4) Será conveniente buscar un doble cruce (10 & 21) o un triple cruce (10, 21 & 55) para determinar un cambio de la tendencia de mediano plazo de bajista hacia alcista (o viceversa) 5) Confirmá el patrón de cambio con la Parabólica de SAR y entonces identificá potenciales compras o ventas 6) Usá el perfil de volumen para detectar las potenciales zonas de soporte o resistencia, principalmente para establecer ordenes stop limit/loss o take profit. ¡Espero que pueda serles de utilidad! Saludos, FRANCRYPTO®
אינדיקטור Pine Script®
מאת ‎francrypto_‎
42
TV Community AlgoTV Community Algo is a free TradingView script that I designed from the ground to benefit the traders of this community. It has plenty of features that you will enjoy, and I have included documentation for how to use this below! Settings: Basic: Turn the Void Lines on or off Turn the Dashboard on or off Turn the Signal Bars on or off Turn the Support & Resistance Lines on or off Turn the EMA 8 and EMA 200 on or off Turn the Buy & Sell Signals on or off Turn the Fibonacci Retracement Tool on or off Style: Change the Dashboard's distance from the price action Change the Dashboard's Color and Transparency Change the Dashboard Text Color Change the Fibonacci Deviation Make the Fibonacci Retracement Tool reverse Make the Fibonacci Lines extend left, right, both directions, or none Turn Fibonacci Prices on or off Turn Fibonacci Levels on or off and change between percent or value Change Fibonacci Label Position from the left or the right Usage: This algo has many uses including but not limited to: Finding entries and exits using the EMA 8 and EMA 200 crossovers Using the Void Lines to identify bounces or reversals Using the Signal Bars to identify trend and confirmation for entries and exits Using the Dashboard information for confirmation and informational purposes In the images below, I give a few examples of the many uses of the TV Community Algo! VOID LINES The Void Lines are very helpful when it comes to identifying reversals. TV COMMUNITY ALGO DASHBOARD The Dashboard is filled with useful information that all traders can benefit from! SIGNAL BARS The colored candles known as Signal Bars inform you of when the price action is above or below the midpoint of the Void Lines. AUTO SUPPORT & RESISTANCE LINES These lines help traders find accurate levels of support & resistance on all time frames, and the lines change color depending on if the price is above or below them. EMA 8 AND 200 The EMA 8 and EMA 200 crossovers can be used as entry and exit signals. BUY & SELL SIGNALS The BUY & SELL signals can be used to find optimal entries and exits for trades on any time frame. Smaller time frames are best for scalping, while larger time frames are more suited for longer trades. When combined with the EMA lines and Dashboard information, these signals can produce incredibly profitable trades. AUTO FIBONACCI RETRACEMENT TOOL The Auto Fibonacci Retracement Tool allows you to plot perfect Fib Lines every time. Conclusion: I truly hope that the TV Community Algo benefits the TradingView community and that you all find some value in it. I worked very hard on this product and I would love to see it put to good use. with love, -Lemon 🍋 This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
אינדיקטור Pine Script®
מאת ‎HomelessLemon‎
202
CT Moving Average Crossover IndicatorMoving Average Crossover Indicator Here I present a moving average indicator with 9 user definable moving averages from which up to 5 pairs can be selected to show what prices would need to be closed at on the current bar to cross each individual pair. I have put much emphasis here on simplicity of setting the parameters of the moving averages, selecting the crossover pairs and on the clarity of the displayed information in the optional “Moving Average Crossover Level” Information Box. What Is a Moving Average (MA)? According to Investopedia - “In statistics, a moving average is a calculation used to analyze data points by creating a series of averages of different subsets of the full data set. In finance, a moving average (MA) is a stock indicator that is commonly used in technical analysis. The reason for calculating the moving average of a stock is to help smooth out the price data by creating a constantly updated average price. By calculating the moving average, the impacts of random, short-term fluctuations on the price of a stock over a specified time-frame are mitigated.” The user can set the color, type (SMA/EMA) and length of each of the 9 moving averages. Then the user may choose 5 pairs of moving averages from the set of 9. The script will then calculate the price needed to be crossed by the close of the current bar in order to crossover each of the user defined pairs and outputs the results as optional lineplots and/or an Infobox which shows the relevant information in a very clear way. The user may switch the moving averages, crossover lineplots and infobox on and off easily with one click boxes in the settings menu. The number of decimal places shown in the Infobox can be altered in the settings menu. If the price required to cross a pair of moving averages is zero or less, the crossover level will display “Impossible” and the plots will plot at zero. (this helps ameliorate chart auto-focus issues) Quoting a variety of online resources ……. Understanding Moving Averages (MA) Moving averages are a simple, technical analysis tool. Moving averages are usually calculated to identify the trend direction of a stock or to determine its support and resistance levels. It is a trend-following—or lagging—indicator because it is based on past prices. The longer the time period for the moving average, the greater the lag. So, a 200-day moving average will have a much greater degree of lag than a 20-day MA because it contains prices for the past 200 days. The 50-day and 200-day moving average figures for stocks are widely followed by investors and traders and are considered to be important trading signals. Moving averages are a totally customizable indicator, which means that an investor can freely choose whatever time frame they want when calculating an average. The most common time periods used in moving averages are 15, 20, 30, 50, 100, and 200 days. The shorter the time span used to create the average, the more sensitive it will be to price changes. The longer the time span, the less sensitive the average will be. Investors may choose different time periods of varying lengths to calculate moving averages based on their trading objectives. Shorter moving averages are typically used for short-term trading, while longer-term moving averages are more suited for long-term investors. There is no correct time frame to use when setting up your moving averages. The best way to figure out which one works best for you is to experiment with a number of different time periods until you find one that fits your strategy. Predicting trends in the stock market is no simple process. While it is impossible to predict the future movement of a specific stock, using technical analysis and research can help you make better predictions. A rising moving average indicates that the security is in an uptrend, while a declining moving average indicates that it is in a downtrend. Similarly, upward momentum is confirmed with a bullish crossover, which occurs when a short-term moving average crosses above a longer-term moving average. Conversely, downward momentum is confirmed with a bearish crossover, which occurs when a short-term moving average crosses below a longer-term moving average. Types of Moving Averages Simple Moving Average (SMA) The simplest form of a moving average, known as a simple moving average (SMA), is calculated by taking the arithmetic mean of a given set of values. In other words, a set of numbers–or prices in the case of financial instruments–are added together and then divided by the number of prices in the set. Exponential Moving Average (EMA) The exponential moving average is a type of moving average that gives more weight to recent prices in an attempt to make it more responsive to new information. To calculate an EMA, you must first compute the simple moving average (SMA) over a particular time period. Next, you must calculate the multiplier for weighting the EMA (referred to as the "smoothing factor"), which typically follows the formula: 2/(selected time period + 1). So, for a 20-day moving average, the multiplier would be 2/(20+1)= 0.0952. Then you use the smoothing factor combined with the previous EMA to arrive at the current value. The EMA thus gives a higher weighting to recent prices, while the SMA assigns equal weighting to all values.
אינדיקטור Pine Script®
מאת ‎The_Caretaker‎
25
Structure AnalyzerA momentum indicator that uses the highest and lowest values for price in three different lookback lengths to find the performance relative to three timeframes. - The yellow line is the product of the price performance in three different timeframes. - The red line is 200 EMA of the performance. - The blue columns represent the same calculation or the volume(OBV based). - The aqua line is the 200 EMA of the volume performance. How to use: Whenever the performance crosses above the 200 EMA, the price is in an uptrend. Important: When in a downtrend, the performance will stay below the 200 EMA for a long time; hence it is important o wait until the crossover.
אינדיקטור Pine Script®
מאת ‎ekrem6nel‎
1
ARI-DPO TrendThis is a new indicator that uses DPO (Detrended Price Oscillator) and calculating its HMA 200 and EMA 200 is able to show the current price direction. if the line is below 0 the market is in a downtrend in the short term, otherwise, the market is in an uptrend. if the line is red, the market is in a downtrend in the long term (bearish), otherwise, the market is in a long term uptrend (bullish) a sequence of red/green lines means that the market is choppy Currently, I'm using it with cryptocurrencies to assess if the short term price action. How it works: the indicator calculates the DPO (default 21 periods) and its HMA (default 200 periods) and EMA (default 200 periods) and shows if the DPO is above both HMA and SMA (indicator line above 0 and green), below both (indicator line below 0 and red) or between (the indicator line and the colour are not matching: e.g. red line above the zero or green line below zero). the latter is the classic situation of a choppy market or a possible short term reversal. The aim of this indicator is to find a good entry point for long/short positions. I'm still testing and improving it, please let me know in the comments if you find this useful. Cheers!
אינדיקטור Pine Script®
מאת ‎AlessioRicco‎
4
GAURs Polynomial Regression ChannelsThanks to The Sweet Lord , here is the Gaur's Polynomial Regression Channel. Its a Polynomial Regression Channel but applied a little differently. Wont go into technical details much. Overview of options is as follows- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Channel Options - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1. Degree of Polynomial: 1/2/3 Default = 3 Defines the degree of polynomials - 1,2,3. Note here, degree 1 will not be a straight line since its applied differently. Try different degrees for different fits and market conditions. 2. Channel Length: Default 30 (candles) You can go beyond 100 or 200 candle lengths but smaller is the usual preference of Poly-Reg-channel traders. It all depends on market conditions and your style of trading. Do your research. I am usually comfortable with a range of 20-50 (in crypto markets). 3. Basis of Channel height/boundries: ATR/Manual Default: ATR ATR provides a dynamically adjusted entry/exit bounds of the channels. As ATR changes, the channel bounds also changes its height. It can also be fixed manually. Manual heights wont change automatically. 4. Basis of Y-Value: open/close/ sma / ema / wma /hilow Default: close Y- value is the y value of the (x,y) coordinates used while calculating the regression coefficients. Dont worry about it, its nothing serious. 5. Apply channel smoothning using sma?: Yes/No Default: Yes Without smoothning, the channel does not "look" good. 6. Shaded Area Height Percentage: Its the extra margin for the channel. Its in percentage of the total height (defined 3 above) of channels. The shaded area provides an extra allowance for your entries or exits beyond the ATR or manual heights. 7. Plot RSI?: Yes/No Default: Yes Plots RSI (orange line in between the channel - its different from the dotted center line) considering the downbound of channels as 0 (oversold) and upbound of channels as 100 (overbought) 8. Plot 200 sma?: Yes/No Default: Yes It plots a 200 period fast (green) and 225 period slow (red) sma . I usually use two MAs. Its visually very easy to understand. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Sample Strategy - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - You can develop your own strategy with the channels. But following is just one of the ways you can trade. Best Application: Ranging markets. But can be happily used in volatile conditions, with a little experience. 1. SMA: -- (this condition is optional really) If green (200) is above red (225) go only long. If red is above green go only short. Defines long term trend of the market. 2. Channel slope: -- (this stuff needs practice/experience) Depending on the channel slope, like if its tending to go up or down, you can choose to take only short or long trades. It defines short term momentum of the market. 3. ATR based heights: Since its ATR based, the channel height are our natural entry and exit points. Long: When price touches lower shaded area, consider possible long entry. Exit on price entering the upper shaded area. Short: Enter on upper bound shaded area, exit on lower. 4. RSI: For additional conformations. Again note, the RSI considers the lower bound of channel as 0 and upper as 100. But since, the channel moves up and down, the RSI will also move not only as RSI but also with the channel. Meaning, say if the RSI is valued at 50, then it will be near the center of the channel but since the center changes as time and price changes, the RSI valued at 50 at different times will not be at the same horizontal level respect to the graph, although it will be at the same level (center) respect to the channel. 5. PRC Channel Percentage label: This label is at the lower side a bit ahead of the current candle. Provides you info on what is the channel percentage. This is especially helpful in crypto markets to gauge your possible percentage profit where profits can be much higher than forex or other instruments. It can also helps you select a suitable market/instrument if the channels are based on ATR. 6. Extra indicators: I usually use stochastic along with this setup for extra conformations. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Donate - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Use freely and donate generously if you find value. Your help will really help. I had earlier provided BTC addresses for donations but it seems to violate TV House rules. Hope they make TV coins redeemable in future. - Pranav Joshi - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Extra Info - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - // © cpranavjoshi // special thanks to the "Trading View" people for providing this great platform for free // ------------------------ // MATH // ------------------------ // special thanks to an article on the web that provided layman friendly explanation of the maths // unfortunately i wont be able to provide the link to that article owing to TV restrictions, though i sincerely would have liked to credit the author. // Google search this phrase, and you should be able to get it in one of the first results - "polynomialregression Mathematics of Polynomial Regression" // my regression math calculation is a further resolution upon the generalized matrix formula given in the that article. // the generalized matrix looks scary but in fact its much simpler than one may assume // the summation sign things are just float numbers that can be easily found out // so we get a matrix with number of equations equal to the number of unknowns. // e.g. if its a 3rd degree poly, it has 4 unknowns (c0,c1,c2,c3) with 4 equations as in the generalized matrix // it can be resolved by simple algebra // Note: the results have been verified with excel using same input data points. // pine was difficult for me so i coded it in python first to verify // ------------------------ // WHY // ------------------------ // this script was coded because Pranav badly needed Polynomial channels (had used them in mt4 earlier) // and at the time of this coding, i could not find any readily available script in the trading view public library ( tnx public) // the complex math was probably the hurdle // i m not good in maths, but by the Will of the Lord, i could resolve the issue with simple algebra and logic // ------------------------ // PINE // ------------------------ // i am just an average (even poor probably) programmer and pine script is not my language // this is a humble attempt to write my first pine with whatever i could do quickly // experts - feel free to develop if needed. have used some workarounds in drawings/plottings. rectify them if possible // // // - Pranav Joshi
אינדיקטור Pine Script®
מאת ‎cpranavjoshi‎
2
Trading Rush Signals & AlertsThis is an unofficial script for strategies tested on TRADING RUSH Youtube channel. Over time, most successful strategies will be added with an option to set strategy-specific alerts . Trading Rush Signals & Alerts will draw signals on the chart when the entry conditions are met. You can also opt for displaying indicators . My script is meant for beginners but can be used by veterans too. Just pick only one or two strategies, you don't want to flood your chart with conflicting signals. You may want to support your trades with a proper analysis. If a new signal occurs when there is still an open position, you are not supposed to take another. The current version includes MACD and Donchian Channels. MACD strategy: ►Buy, when MACD crosses below the signal line when it is negative. The price must also be above 200 EMA. ►Sell, when MACD crosses above the signal line when it is positive. The price must also be below 200 EMA. ►This strategy was tested on 30-minute charts of EURUSD and EURJPY with reward-to-risk ratio 1,5 and win rate of 62% over 100 trades . ►►►MACD has to be added to your chart separately because it needs a new window. Indicators displaying will not add this indicator to the chart. Donchian Channels strategy: ►Buy, when the price breaches Donchian to the upside after making a new low. The price must also be above 200 EMA. ►Sell, when the price breaches Donchian to the downside after making a new high. The price must also be below 200 EMA. ►Stop-loss is Donchian bottom for long and Donchian top for shorts. Check the channel for more information. ►This strategy was tested on 30-minute charts of EURUSD with reward-to-risk ratio 1,5 and win rate of 58% over 100 trades . ►►►I programmed alerts for Donchians to come ahead of an actual breach. If you often leave the screen when trading, this will help you. The necessary downside for that is the alerts might come when the signal doesn't trigger in the end. You will see a mark on the chart if the conditions are truly met. Bear in mind that backtesting performance doesn't guarantee future profitability. • Most systematic strategies are not suitable for any timeframe. • You should perform your own backtest to base your trades on more data & to establish confidence in the selected strategy. New strategies will be added when I have time. If I see multiple people asking for the same new feature, I might agree to release it with a new version. I am not going to add input options in this script, it could come as a separate script though. I am in no way affiliated with the Youtubechannel , so if you find the script helpful, shot me a message or send me some TradingView coins >) If you encounter any bug, you can report it in a message or in comments. Support it with screenshot and relevant information such as a time when it occurred and what options were on etc.
אינדיקטור Pine Script®
מאת ‎OrcChieftain‎
27
Moving average Two ColoursExponential moving average of 200 periods, which changes color according to the position of the candles. (200 periods: default configuration Option to change periods allowed) If the candles are on the EMA, this will have green color, otherwise red color (colors, thickness configurable). ********************************************************************************************************************************************** Descripción en Español: Media móvil Exponencial de 200 periodos, la cuál cambia de color según posición de las velas. (200 periodos: configuración default. Opción de cambio de periodos permitida) Si las velas están sobre la EMA , esta tendrá color verde, caso contrario color rojo (colores, grosor configurables).
אינדיקטור Pine Script®
מאת ‎Ramtraderbook‎
3
cci based potential buy/sell signal Commodity Channel Index Potential Buy Signal Commodity Channel Index (CCI) is below oversold line (-200). CCI then crosses above -100 line Commodity Channel Index Potential Sell Signal Commodity Channel Index (CCI) is above overbought line (+200). CCI then crosses below +100 line. Türkçe Açıklama; CCI Potansiyel Al Sinyali CCI indikatörünün -200 altında bulunduğu bölgeler aşırı satış bölgeleri, Sonrasında aşağıdan gelerek -100 çizgisinin üzerine çıktığı yada çıkmak üzere olduğu noktalar al sinyali CCI Potansiyel Satl Sinyali CCI indikatörünün +200 üzerinde bulunduğu bölgeler aşırı alım bölgeleri, Sonrasında yukarıdan inerek +100 çizgisinin altına indiği yada inmek üzere olduğu noktalar sat sinyali Not: Tek başına kullanılması son derece hatalı sonuçlar verebilir. Sadece olabilirlik potansiyeli taşımaktadır.
אינדיקטור Pine Script®
מאת ‎kayaademogullari‎
2
Exponential Moving Average (Set of 3) [Krypt] + 13/34 EMAsI took Krypt's script and essentially added on to it. the 20/50/100/200 EMAs should be used together as support and resistance as normal. Wait for price to break 200 EMA Wait for 50 EMA to cross 200 EMA Wait for pullback to 50 EMA to open position 20 and 100 EMAs are for extra information about moving support and resistance and 13/34 EMAs should be used in conjunction When 13 EMA crosses 34 EMA, open position When price gets far from 13/34, close position (because price will attempt to revert back to mean) This is better for scalping and swing trades than the 20/50/100/200 setup. Twitter: @AzorAhai06
אינדיקטור Pine Script®
מאת ‎AzorAhai06‎
ST_Trend_ReversalSTRONG TREND REVERSAL INDICATOR The code is the percentage difference between the spot price of a given financial asset and its 200-day MA of that period. My standard setup is Daily, and I think it's got very good predictive power at that timeframe. It can be read in two ways: 1. Values extremely above or below the 200-period MA present chances of buying/selling agains the prevailing trend. 2. Values closely above or below the 200-period MA are make-or-break market periods, where a medium-term trend becomes evident. Breaks above or below the MA are associated with strong chances of directional movements. But it's not fool-proof as false breaks have become commonplace nowadays. Other way to use it is as confirmation of breakdowns: For example, an asset that loses its 200-day MA and then can't rally above it becomes exposed to steep losses afterwards. It's also helpful to use in volatility trading: the closer the asset goes to its MA, the lower goes implied vol, and thus better opportiunities to be long volatility on those occasions where direction is hard to predict. STRI = close/(200dMA) Values over 100 indicate percentage premiums of spot vs its moving average. Values below indicate percentage discounts of spot vs its moving average.
אינדיקטור Pine Script®
מאת ‎Daniel_Urdaneta‎
2
How to automate this strategy for free using a chrome extension.Hey everyone, Recently we developed a chrome extension for automating TradingView strategies using the alerts they provide. Initially we were charging a monthly fee for the extension, but we have now decided to make it FREE for everyone. So to display the power of automating strategies via TradingView, we figured we would also provide a profitable strategy along with the custom alert script and commands for the alerts so you can easily cut and paste to begin trading for profit while you sleep. Step 1: You are going to need to download the Chrome Extension called AutoView. You can get the extension for free by following this link: bit.ly ( I had to shorten the link as it contains Google and TV automatically converts it to a symbol) Step 2: Go to your chrome extension page, and under the new extension you'll see a "settings" button. In the setting you will have to connect and give permission to the exchange 1broker allowing the extension to place your orders automatically when triggered by an alert. Step 3: Setup the strategy and custom script for the alerts in TradingView. The attached script is the strategy, you can play with the settings yourself to try and get better numbers/performance if you please. This following script is for the custom alerts: //@version=2 study("4All-Alert", shorttitle="Alerts") src = close len = input(4, minval=1, title="Length") up = rma(max(change(src), 0), len) down = rma(-min(change(src), 0), len) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) rsin = input(5) sn = 100 - rsin ln = 0 + rsin short = crossover(rsi, sn) ? 1 : 0 long = crossunder(rsi, ln) ? 1 : 0 plot(long, "Long", color=green) plot(short, "Short", color=red) Now that you have the extension installed, the custom strategy and alert scripts in place, you simply need to create the alerts. To get the alerts to communicate with the extension properly, there is a specific syntax that you will need to put in the message of the alert. You can find more details about the syntax here : gist.github.com For this specific strategy, I use the Alerts script, long/short greater than 0.9 on close. In the message for a long place this as your message: Long c=order b=short c=position b=short l=200 t=market b=long q=0.01 l=200 t=market tp=13 sl=25 and for the short... Short c=order b=long c=position b=long l=200 t=market b=short q=0.01 l=200 t=market tp=13 sl=25 If you'll notice in my above messages, compared to the strategy my tp and sl (take profit and stop loss) vary by a few pips. This is to cover the market opens and spread on 1broker. You can change the tp and sl in the strategy to the above and see that the overall profit will not vary much at all. I hope this all makes sense and it is enough to not only make some people money, but to show the power of coming up with your own strategy and automating it using TradingView alerts and the free Chrome Extension AutoView. ps. I highly recommend upgrading your TradingView account so you have access to back testing and multiple alerts. There is really no reason you won't cover the cost and then some on a monthly basis using the tools provided. Best of luck and happy trading. Note: The extension currently allows for automation on 2 exchanges; 1broker and Okcoin. If you do not have accounts there, we'd appreciate you signing up using our referral links. www.okcoin.com 1broker.com
אסטרטגיית Pine Script®
מאת ‎CryptoRox‎
110
ORBs, EMAs, SMAs, AVWAPThis is an update to a previously published script. In short the difference is the added capability to adjust the length of EMAs. Also added 3 customizable SMAs. Enjoy! Let me know what you think of the script please. This is only second one I have ever done. Through practice and people like @LuxAlgo and other Pinescripters this isn't possible. Tedious hrs with ChatGPT to correct nuances, who doesnt seem to learn from (insert pronoun) mistakes This all-in-one indicator combines key institutional tools into a unified framework for intraday and swing trading. Designed for traders who use multi-session analysis and dynamic levels, it automatically maps out global session breakouts, moving averages, and volume-weighted anchors with high clarity. Features include: 🕓 Tokyo, London, and New York ORBs (Opening Range Breakouts) — 30-minute configurable range boxes that persist until the next New York open. 📈 Anchored VWAP with Standard Deviation Bands — dynamically anchorable to session, week, or month for institutional-grade price tracking. 📊 Exponential Moving Averages (9, 20, 113, 200) — for short-, mid-, and long-term momentum structure. 📉 Simple Moving Averages (20, 50, 100) — fully customizable lengths, colors, and visibility toggles for trend confirmation. 🏁 Prior High/Low Levels (PDH/PDL, PWH/PWL, PMH/PML) — automatically plotted from previous day, week, and month, with labels placed at each session’s midpoint. 🎛️ Session-Aligned Time Logic — all time calculations use New York session anchors with DST awareness. 💡 Clean Visualization Options — every component can be toggled on/off, recolored, or customized for your workflow. Best used for: ORB break-and-retest setups VWAP and EMA rejections Confluence-based trading around key session levels Multi-session momentum tracking
אינדיקטור Pine Script®
מאת ‎nh311009‎
1
PDB 4 MA + Candle Strength/Weakness Detector 4MA Strength & Reversal Detector Unlock the power of momentum with this advanced 4 Moving Average system (20, 50, 100, 200) designed to pinpoint market strength and early reversal zones with precision. How It Works: - Bearish Reversal: Triggered when all moving averages align (20 < 50 < 100 < 200) and bearish reversal candles appear — highlighting potential tops. - Bullish Reversal: Triggered when all moving averages align (200 < 100 < 50 < 20) and bullish reversal candles form — marking potential bottoms :Best For: ⚡ Scalpers and day traders using 1–5 minute timeframes 📈 Identifying momentum shifts and trend exhaustion early Tip: Combine this with volume or RSI for stronger confirmation and fewer false signals.
אינדיקטור Pine Script®
מאת ‎PrintDemBandz‎
Ripster Labels + Air Gaps (v6)What it shows (on one chart) EMA Clouds (current timeframe) Plots EMA 8/12/21/34/50/200 with three cloud fills: 12–21 = “fast” cloud 34–50 = “mid” cloud 50–200 = “base” cloud Cloud color: green when the faster EMA is above the slower (bullish), red/maroon/orange when below (bearish). Toggle lines vs. clouds via A) EMA Clouds settings. MTF Rails (higher-TF EMAs) For three higher timeframes (defaults 30m / 60m / 240m), draws two EMAs each (defaults 34 & 50). These are stepline-like rails you can visually use as higher-TF supports/resistances. Configure in B) MTF Rails (turn on/off, change TFs/lengths/colors). Relative Volume Box (RVol) Small table (top-center) showing: Candle Vol (formatted K/M/B if enabled) RVol = current bar volume / SMA 20 of volume (as a %) Color scale: blue (<100%), yellow (100–150%), red (>150%). Settings in C) RVol Box. DTR vs ATR Box Daily True Range (DTR = day high − day low) vs ATR(14) on the daily timeframe, with DTR as % of ATR. Placed at top-right; toggle in D) DTR/ATR Box. Ripster Trend Label (10m 12/50) Looks at a separate timeframe (default 10m): EMA 12 vs EMA 50. Bottom-right table cell shows “10m Trend ↑/↓/Sideways” (green/red/gray). Configure in E) Ripster Trend Labels (TF and lengths). Air Gaps (single EMA per TF) Three horizontal, auto-extending lines showing an EMA from 30m / 60m / 240m (default length 12). “Air gaps” are the price spaces between these lines—often lighter-resistance zones for price. Start point logic: All Bars = draw from the chart’s left Start of Day = draw from today’s first bar Bars Offset = draw from N bars back (default 100) Settings in F) Air Gaps (TFs, length, draw-from, bars-back). Inputs & where to tweak A) EMA Clouds Show EMA Clouds: master toggle Source: close (default) Lengths: 8/12/21/34/50/200 Show EMA lines: toggle plotted lines (clouds remain) B) MTF Rails Show MTF Rails TF1/TF2/TF3 (defaults 30/60/240) EMA A/B (defaults 34/50) C) RVol Box Show box Format as K/M/B: K=1e3, M=1e6, B=1e9 D) DTR/ATR Box Show DTR/ATR ATR len: default 14 (daily) E) Ripster Trend Labels Show labels Trend TF: default 10 (10-minute) Trend EMA Fast/Slow: default 12/50 F) Air Gaps Show Air Gap lines TF1/TF2/TF3 (30/60/240) EMA length: default 12 Draw from: All Bars | Start of Day | Bars Offset Bars back: used if Draw from = Bars Offset How it makes decisions Cloud bias = sign of (faster EMA − slower EMA) for each cloud pair. Example: 12>21 → fast cloud is bullish (green); 34>50 → mid cloud bullish (teal). 10m trend label = sign of (EMA12−EMA50) on the Trend TF (default 10m). RVol = volume / sma(volume, 20); formatted as a percent and color-coded. Practical read of the screen Fast cloud flips (12/21) often mark short-term momentum changes; mid cloud flips (34/50) reflect swing bias. Air Gap lines from higher TFs frequently act as support/resistance. Larger spaces between lines = “air gaps” where price can move with less friction. RVol color tells you how “real” a move is: red/yellow often confirms momentum; blue warns of thin/liquidy bars. DTR vs ATR shows if today’s range is stretched vs recent norm. Design choices (why your prior errors are gone) Removed multiline ?: chains → replaced by if/else (Pine v6 is picky about line continuations). Moved fill() calls outside of local if blocks (Pine limitation). ta.change(time("D")) != 0 makes the if condition boolean. Declared G_drawFrom / G_barsBack before startX() so identifiers exist.
אינדיקטור Pine Script®
מאת ‎chandrashekar_thippani‎
Forecast PriceTime Oracle [CHE] Forecast PriceTime Oracle — Prioritizes quality over quantity by using Power Pivots via RSI %B metric to forecast future pivot highs/lows in price and time Summary This indicator identifies potential pivot highs and lows based on out-of-bounds conditions in a modified RSI %B metric, then projects future occurrences by estimating time intervals and price changes from historical medians. It provides visual forecasts via diagonal and horizontal lines, tracks achievement with color changes and symbols, and displays a dashboard for statistical overview including hit rates. Signals are robust due to median-based aggregation, which reduces outlier influence, and optional tolerance settings for near-misses, making it suitable for anticipating reversals in ranging or trending markets. Motivation: Why this design? Standard pivot detection often lags or generates false signals in volatile conditions, missing the timing of true extrema. This design leverages out-of-bounds excursions in RSI %B to capture "Power Pivots" early—focusing on quality over quantity by prioritizing significant extrema rather than every minor swing—then uses historical deltas in time and price to forecast the next ones, addressing the need for proactive rather than reactive analysis. It assumes that pivot spacing follows statistical patterns, allowing users to prepare entries or exits ahead of confirmation. What’s different vs. standard approaches? - Reference baseline: Diverges from traditional ta.pivothigh/low, which require fixed left/right lengths and confirm only after bars close, often too late for dynamic markets. - Architecture differences: - Detects extrema during OOB runs rather than post-bar symmetry. - Aggregates deltas via medians (or alternatives) over a user-defined history, capping arrays to manage resources. - Applies tolerance thresholds for hit detection, with options for percentage, absolute, or volatility-adjusted (ATR) flexibility. - Freezes achieved forecasts with visual states to avoid clutter. - Practical effect: Charts show proactive dashed projections instead of retrospective dots; the dashboard reveals evolving hit rates, helping users gauge reliability over time without manual calculation. How it works (technical) The indicator first computes a smoothed RSI over a specified length, then applies Bollinger Bands to derive %B, flagging out-of-bounds below zero or above one hundred as potential run starts. During these runs, it tracks the extreme high or low price and bar index. Upon exit from the OOB state, it confirms the Power Pivot at that extreme and records the time delta (bars since prior) and price change percentage to rolling arrays. For forecasts, it calculates the median (or selected statistic) of recent deltas, subtracts the confirmation delay (bars from apex to exit), and projects ahead by that adjusted amount. Price targets use the median change applied to the origin pivot value. Lines are drawn from the apex to the target bar and price, with a short horizontal at the endpoint. Arrays store up to five active forecasts, pruning oldest on overflow. Tolerance adjusts hit checks: for highs, if the high reaches or exceeds the target (adjusted by tolerance); for lows, if the low drops to or below. Once hit, the forecast freezes, changing colors and symbols, and extends the horizontal to the hit bar. Persistent variables maintain last pivot states across bars; arrays initialize empty and grow until capped at history length. Parameter Guide Source: Specifies the data input for the RSI computation, influencing how price action is captured. Default is close. For conservative signals in noisy environments, switch to high; using low boosts responsiveness but may increase false positives. RSI Length: Sets the smoothing period for the RSI calculation, with longer values helping to filter out whipsaws. Default is 32. Opt for shorter lengths like 14 to 21 on faster timeframes for quicker reactions, or extend to 50 or more in strong trends to enhance stability at the cost of some lag. BB Length: Defines the period for the Bollinger Bands applied to %B, directly affecting how often out-of-bounds conditions are triggered. Default is 20. Align it with the RSI length: shorter periods detect more potential runs but risk added noise, while longer ones provide better filtering yet might overlook emerging extrema. BB StdDev: Controls the multiplier for the standard deviation in the bands, where wider settings reduce false out-of-bounds alerts. Default is 2.0. Narrow it to 1.5 for highly volatile assets to catch more signals, or broaden to 2.5 or higher to emphasize only major movements. Show Price Forecast: Enables or disables the display of diagonal and target lines along with their updates. Default is true. Turn it off for simpler chart views, or keep it on to aid in trade planning. History Length: Determines the number of recent pivot samples used for median-based statistics, where more history leads to smoother but potentially less current estimates. Default is 50. Start with a minimum of 5 to build data; limit to 100 to 200 to prevent outdated regimes from skewing results. Max Lookahead: Limits the number of bars projected forward to avoid overly extended lines. Default is 500. Reduce to 100 to 200 for intraday focus, or increase for longer swing horizons. Stat Method: Selects the aggregation technique for time and price deltas: Median for robustness against outliers, Trimmed Mean (20%) for a balanced trim of extremes, or 75th Percentile for a conservative upward tilt. Default is Median. Use Median for even distributions; switch to Percentile when emphasizing potential upside in trending conditions. Tolerance Type: Chooses the approach for flexible hit detection: None for exact matches, Percentage for relative adjustments, Absolute for fixed point offsets, or ATR for scaling with volatility. Default is None. Begin with Percentage at 0.5 percent for currency pairs, or ATR for adapting to cryptocurrency swings. Tolerance %: Provides the relative buffer when using Percentage mode, forgiving small deviations. Default is 0.5. Set between 0.2 and 1.0 percent; higher values accommodate gaps but can overstate hit counts. Tolerance Points: Establishes a fixed offset in price units for Absolute mode. Default is 0.0010. Tailor to the asset, such as 0.0001 for forex pairs, and validate against past wick behavior. ATR Length: Specifies the period for the Average True Range in dynamic tolerance calculations. Default is 14. This is the standard setting; shorten to 10 to reflect more recent volatility. ATR Multiplier: Adjusts the ATR scale for tolerance width in ATR mode. Default is 0.5. Range from 0.3 for tighter precision to 0.8 for greater leniency. Dashboard Location: Positions the summary table on the chart. Default is Bottom Right. Consider Top Left for better visibility on mobile devices. Dashboard Size: Controls the text scaling for dashboard readability. Default is Normal. Choose Tiny for dense overlays or Large for detailed review sessions. Text/Frame Color: Sets the color scheme for dashboard text and borders. Default is gray. Align with your chart theme, opting for lighter shades on dark backgrounds. Reading & Interpretation Forecast lines appear as dashed diagonals from confirmed pivots to projected targets, with solid horizontals at endpoints marking price levels. Open targets show a target symbol (🎯); achieved ones switch to a trophy symbol (🏆) in gray, with lines fading to gray. The dashboard summarizes median time/price deltas, sample counts, and hit rates—rising rates indicate improving forecast alignment. Colors differentiate highs (red) from lows (lime); frozen states signal validated projections. Practical Workflows & Combinations - Trend following: Enter long on low forecast hits during uptrends (higher highs/lower lows structure); filter with EMA crossovers to ignore counter-trend signals. - Reversal setups: Short above high projections in overextended rallies; use volume spikes as confirmation to reduce false breaks. - Exits/Stops: Trail stops to prior pivot lows; conservative on low hit rates (below 50%), aggressive above 70% with tight tolerance. - Multi-TF: Apply on 1H for entries, 4H for time projections; combine with Ichimoku clouds for confluence on targets. - Risk management: Position size inversely to delta uncertainty (wider history = smaller bets); avoid low-liquidity sessions. Behavior, Constraints & Performance Confirmation occurs on OOB exit, so live-bar pivots may adjust until close, but projections update only on events to minimize repaint. No security or HTF calls, so no external lookahead issues. Arrays cap at history length with shifts; forecasts limited to five active, pruning FIFO. Loops iterate over small fixed sizes (e.g., up to 50 for stats), efficient on most hardware. Max lines/labels at 500 prevent overflow. Known limits: Sensitive to OOB parameter tuning—too tight misses runs; assumes stationary pivot stats, which may shift in regime changes like low vol. Gaps or holidays distort time deltas. Sensible Defaults & Quick Tuning Defaults suit forex/crypto on 1H–4H: RSI 32/BB 20 for balanced detection, Median stats over 50 samples, None tolerance for exactness. - Too many false runs: Increase BB StdDev to 2.5 or RSI Length to 50 for filtering. - Lagging forecasts: Shorten History Length to 20; switch to 75th Percentile for forward bias. - Missed near-hits: Enable Percentage tolerance at 0.3% to capture wicks without overcounting. - Cluttered charts: Reduce Max Lookahead to 200; disable dashboard on lower TFs. What this indicator is—and isn’t This is a forecasting visualization layer for pivot-based analysis, highlighting statistical projections from historical patterns. It is not a standalone system—pair with price action, volume, and risk rules. Not predictive of all turns; focuses on OOB-derived extrema, ignoring volume or news impacts. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
אינדיקטור Pine Script®
מאת ‎chervolino‎
SMA RibbonThis indicator overlays multiple Simple Moving Averages (SMAs) on the price chart to help visualize both short- and long-term market trends. It includes five configurable SMA lines — 10, 21, 50, 100, and 200 periods by default — each plotted with distinct colors for quick differentiation. Short-term averages (10 and 21) highlight near-term momentum, while medium- and long-term averages (50, 100, and 200) provide broader trend context and identify potential areas of dynamic support or resistance. Users can easily adjust the period lengths and line thickness through the settings panel to fit different timeframes or trading styles. Features Plots 5 configurable SMAs (default: 10, 21, 50, 100, 200) Adjustable line width and colors for visual clarity Works seamlessly on any timeframe and instrument Useful for identifying trend direction, strength, and key support/resistance zones
אינדיקטור Pine Script®
מאת ‎wesinem‎
Advanced Speedometer Gauge [PhenLabs]Advanced Speedometer Gauge Version: PineScript™v6 📌 Description The Advanced Speedometer Gauge is a revolutionary multi-metric visualization tool that consolidates 13 distinct trading indicators into a single, intuitive speedometer display. Instead of cluttering your workspace with multiple oscillators and panels, this gauge provides a unified interface where you can switch between different metrics while maintaining consistent visual interpretation. Built on PineScript™ v6, the indicator transforms complex technical calculations into an easy-to-read semi-circular gauge with color-coded zones and a precision needle indicator. Each of the 13 available metrics has been carefully normalized to a 0-100 scale, ensuring that whether you’re analyzing RSI, volume trends, or volatility extremes, the visual interpretation remains consistent and intuitive. The gauge is designed for traders who value efficiency and clarity. By consolidating multiple analytical perspectives into one compact display, you can quickly assess market conditions without the visual noise of traditional multi-indicator setups. All metrics are non-overlapping, meaning each provides unique insights into different aspects of market behavior. 🚀 Points of Innovation 13 selectable metrics covering momentum, volume, volatility, trend, and statistical analysis, all accessible through a single dropdown menu Universal 0-100 normalization system that standardizes different indicator scales for consistent visual interpretation across all metrics Semi-circular gauge design with 21 arc segments providing smooth precision and clear visual feedback through color-coded zones Non-redundant metric selection ensuring each indicator provides unique market insights without analytical overlap Advanced metrics including MFI (volume-weighted momentum), CCI (statistical deviation), Volatility Rank (extended lookback), Trend Strength (ADX-style), Choppiness Index, Volume Trend, and Price Distance from MA Flexible positioning system with 5 chart locations, 3 size options, and fully customizable color schemes for optimal workspace integration 🔧 Core Components Metric Selection Engine: Dropdown interface allowing instant switching between 13 different technical indicators, each with independent parameter controls Normalization System: All metrics converted to 0-100 scale using indicator-specific algorithms that preserve the statistical significance of each measurement Semi-Circular Gauge: Visual display using 21 arc segments arranged in curved formation with two-row thickness for enhanced visibility Color Zone System: Three distinct zones (0-40 green, 40-70 yellow, 70-100 red) providing instant visual feedback on metric extremes Needle Indicator: Dynamic pointer that positions across the gauge arc based on precise current metric value Table Implementation: Professional table structure ensuring consistent positioning and rendering across different chart configurations 🔥 Key Features RSI (Relative Strength Index): Classic momentum oscillator measuring overbought/oversold conditions with adjustable period length (default 14) Stochastic Oscillator: Compares closing price to price range over specified period with smoothing, ideal for identifying momentum shifts MFI (Money Flow Index): Volume-weighted RSI that combines price movement with volume to measure buying and selling pressure intensity CCI (Commodity Channel Index): Measures statistical deviation from average price, normalized from typical -200 to +200 range to 0-100 scale Williams %R: Alternative overbought/oversold indicator using high-low range analysis, inverted to match 0-100 scale conventions Volume %: Current volume relative to moving average expressed as percentage, capped at 100 for extreme spikes Volume Trend: Cumulative directional volume flow showing whether volume is flowing into up moves or down moves over specified period ATR Percentile: Current Average True Range position within historical range using specified lookback period (default 100 bars) Volatility Rank: Close-to-close volatility measured against extended historical range (default 252 days), differs from ATR in calculation method Momentum: Rate of change calculation showing price movement speed, centered at 50 and normalized to 0-100 range Trend Strength: ADX-style calculation using directional movement to quantify trend intensity regardless of direction Choppiness Index: Measures market choppiness versus trending behavior, where high values indicate ranging markets and low values indicate strong trends Price Distance from MA: Measures current price over-extension from moving average using standard deviation calculations 🎨 Visualization Semi-Circular Arc Display: Curved gauge spanning from 0 (left) to 100 (right) with smooth progression and two-row thickness for visibility Color-Coded Zones: Green zone (0-40) for low/oversold conditions, yellow zone (40-70) for neutral readings, red zone (70-100) for high/overbought conditions Needle Indicator: Downward-pointing triangle (▼) positioned precisely at current metric value along the gauge arc Scale Markers: Vertical line markers at 0, 25, 50, 75, and 100 positions with corresponding numerical labels below Title Display: Merged cell showing “𓄀 PhenLabs” branding plus currently selected metric name in monospace font Large Value Display: Current metric value shown with two decimal precision in large text directly below title Table Structure: Professional table with customizable background color, text color, and transparency for minimal chart obstruction 📖 Usage Guidelines Metric Selection Select Metric: Default: RSI | Options: RSI, Stochastic, Volume %, ATR Percentile, Momentum, MFI (Money Flow), CCI (Commodity Channel), Williams %R, Volatility Rank, Trend Strength, Choppiness Index, Volume Trend, Price Distance | Choose the technical indicator you want to display on the gauge based on your current analytical needs RSI Settings RSI Length: Default: 14 | Range: 1+ | Controls the lookback period for RSI calculation, shorter periods increase sensitivity to recent price changes Stochastic Settings Stochastic Length: Default: 14 | Range: 1+ | Lookback period for stochastic calculation comparing close to high-low range Stochastic Smooth: Default: 3 | Range: 1+ | Smoothing period applied to raw stochastic value to reduce noise and false signals Volume Settings Volume MA Length: Default: 20 | Range: 1+ | Moving average period used to calculate average volume for comparison with current volume Volume Trend Length: Default: 20 | Range: 5+ | Period for calculating cumulative directional volume flow trend ATR and Volatility Settings ATR Length: Default: 14 | Range: 1+ | Period for Average True Range calculation used in ATR Percentile metric ATR Percentile Lookback: Default: 100 | Range: 20+ | Historical range used to determine current ATR position as percentile Volatility Rank Lookback (Days): Default: 252 | Range: 50+ | Extended lookback period for Volatility Rank metric using close-to-close volatility Momentum and Trend Settings Momentum Length: Default: 10 | Range: 1+ | Lookback period for rate of change calculation in Momentum metric Trend Strength Length: Default: 20 | Range: 5+ | Period for directional movement calculations in ADX-style Trend Strength metric Advanced Metric Settings MFI Length: Default: 14 | Range: 1+ | Lookback period for Money Flow Index calculation combining price and volume CCI Length: Default: 20 | Range: 1+ | Period for Commodity Channel Index statistical deviation calculation Williams %R Length: Default: 14 | Range: 1+ | Lookback period for Williams %R high-low range analysis Choppiness Index Length: Default: 14 | Range: 5+ | Period for calculating market choppiness versus trending behavior Price Distance MA Length: Default: 50 | Range: 10+ | Moving average period used for Price Distance standard deviation calculation Visual Customization Position: Default: Top Right | Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Right | Controls gauge placement on chart for optimal workspace organization Size: Default: Normal | Options: Small, Normal, Large | Adjusts overall gauge dimensions and text size for different monitor resolutions and preferences Low Zone Color (0-40): Default: Green (#00FF00) | Customize color for low/oversold zone of gauge arc Medium Zone Color (40-70): Default: Yellow (#FFFF00) | Customize color for neutral/medium zone of gauge arc High Zone Color (70-100): Default: Red (#FF0000) | Customize color for high/overbought zone of gauge arc Background Color: Default: Semi-transparent dark gray | Customize gauge background for contrast and chart integration Text Color: Default: White (#FFFFFF) | Customize all text elements including title, value, and scale labels ✅ Best Use Cases Quick visual assessment of market conditions when you need instant feedback on whether an asset is in extreme territory across multiple analytical dimensions Workspace organization for traders who monitor multiple indicators but want to reduce chart clutter and visual complexity Metric comparison by switching between different indicators while maintaining consistent visual interpretation through the 0-100 normalization Overbought/oversold identification using RSI, Stochastic, Williams %R, or MFI depending on whether you prefer price-only or volume-weighted analysis Volume analysis through Volume %, Volume Trend, or MFI to confirm price movements with corresponding volume characteristics Volatility monitoring using ATR Percentile or Volatility Rank to identify expansion/contraction cycles and adjust position sizing Trend vs range identification by comparing Trend Strength (high values = trending) against Choppiness Index (high values = ranging) Statistical over-extension detection using CCI or Price Distance to identify when price has deviated significantly from normal behavior Multi-timeframe analysis by duplicating the gauge on different timeframe charts to compare metric readings across time horizons Educational purposes for new traders learning to interpret technical indicators through consistent visual representation ⚠️ Limitations The gauge displays only one metric at a time, requiring manual switching to compare different indicators rather than simultaneous multi-metric viewing The 0-100 normalization, while providing consistency, may obscure the raw values and specific nuances of each underlying indicator Table-based visualization cannot be exported or saved as an image separately from the full chart screenshot Optimal parameter settings vary by asset type, timeframe, and market conditions, requiring user experimentation for best results 💡 What Makes This Unique Unified Multi-Metric Interface: The only gauge-style indicator offering 13 distinct metrics through a single interface, eliminating the need for multiple oscillator panels Non-Overlapping Analytics: Each metric provides genuinely unique insights—MFI combines volume with price, CCI measures statistical deviation, Volatility Rank uses extended lookback, Trend Strength quantifies directional movement, and Choppiness Index measures ranging behavior Universal Normalization System: All metrics standardized to 0-100 scale using indicator-appropriate algorithms that preserve statistical meaning while enabling consistent visual interpretation Professional Visual Design: Semi-circular gauge with 21 arc segments, precision needle positioning, color-coded zones, and clean table implementation that maintains clarity across all chart configurations Extensive Customization: Independent parameter controls for each metric, five position options, three size presets, and full color customization for seamless workspace integration 🔬 How It Works 1. Metric Calculation Phase: All 13 metrics are calculated simultaneously on every bar using their respective algorithms with user-defined parameters Each metric applies its own specific calculation method—RSI uses average gains vs losses, Stochastic compares close to high-low range, MFI incorporates typical price and volume, CCI measures deviation from statistical mean, ATR calculates true range, directional indicators measure up/down movement, and statistical metrics analyze price relationships 2. Normalization Process: Each calculated metric is converted to a standardized 0-100 scale using indicator-appropriate transformations Some metrics are naturally 0-100 (RSI, Stochastic, MFI, Williams %R), while others require scaling—CCI transforms from ±200 range, Momentum centers around 50, Volume ratio caps at 2x for 100, ATR and Volatility Rank calculate percentile positions, and Price Distance scales by standard deviations 3. Gauge Rendering: The selected metric’s normalized value determines the needle position across 21 arc segments spanning 0-100 Each arc segment receives its color based on position—segments 0-8 are green zone, segments 9-14 are yellow zone, segments 15-20 are red zone The needle indicator (▼) appears in row 5 at the column corresponding to the current metric value, providing precise visual feedback 4. Table Construction: The gauge uses TradingView’s table system with merged cells for title and value display, ensuring consistent positioning regardless of chart configuration Rows are allocated as follows: Row 0 merged for title, Row 1 merged for large value display, Row 2 for spacing, Rows 3-4 for the semi-circular arc with curved shaping, Row 5 for needle indicator, Row 6 for scale markers, Row 7 for numerical labels at 0/25/50/75/100 All visual elements update on every bar when barstate.islast is true, ensuring real-time accuracy without performance impact 💡 Note: This indicator is designed for visual analysis and market condition assessment, not as a standalone trading system. For best results, combine gauge readings with price action analysis, support and resistance levels, and broader market context. Parameter optimization is recommended based on your specific trading timeframe and asset class. The gauge works on all timeframes but may require different parameter settings for intraday versus daily/weekly analysis. Consider using multiple instances of the gauge set to different metrics for comprehensive market analysis without switching between settings.
אינדיקטור Pine Script®
מאת ‎PhenLabs‎
Triple SuperTrend + RSI + Fib BBTriple SuperTrend + RSI + Fibonacci Bollinger Bands Strategy 📊 Overview This advanced trading strategy combines the power of three SuperTrend indicators with RSI confirmation and Fibonacci Bollinger Bands to generate high-probability trade signals. The strategy is designed to capture strong trending moves while filtering out false signals through multi-indicator confluence. 🔧 Core Components Three SuperTrend Indicators The strategy uses three SuperTrend indicators with progressively longer periods and multipliers: SuperTrend 1: 10-period ATR, 1.0 multiplier (fastest, most sensitive) SuperTrend 2: 11-period ATR, 2.0 multiplier (medium sensitivity) SuperTrend 3: 12-period ATR, 3.0 multiplier (slowest, most stable) This layered approach ensures that all three timeframe perspectives align before generating a signal, significantly reducing false entries. RSI Confirmation (7-period) The Relative Strength Index acts as a momentum filter: Long signals require RSI > 50 (bullish momentum) Short signals require RSI < 50 (bearish momentum) This prevents entries during weak or divergent price action. Fibonacci Bollinger Bands (200, 2.618) Uses a 200-period Simple Moving Average with 2.618 standard deviation bands (Fibonacci ratio). These bands serve dual purposes: Visual representation of price extremes Automatic exit trigger when price reaches overextended levels 📈 Entry Logic LONG Entry (BUY Signal) A LONG position is opened when ALL of the following conditions are met simultaneously: All three SuperTrend indicators turn green (bullish) RSI(7) is above 50 This is the first bar where all conditions align (no repainting) SHORT Entry (SELL Signal) A SHORT position is opened when ALL of the following conditions are met simultaneously: All three SuperTrend indicators turn red (bearish) RSI(7) is below 50 This is the first bar where all conditions align (no repainting) 🚪 Exit Logic Positions are automatically closed when ANY of these conditions occur: SuperTrend Color Change: Any one of the three SuperTrend indicators changes direction Fibonacci BB Touch: Price reaches or exceeds the upper or lower Fibonacci Bollinger Band (2.618 standard deviations) This dual-exit approach protects profits by: Exiting quickly when trend momentum shifts (SuperTrend change) Taking profits at statistical price extremes (Fib BB touch) 🎨 Visual Features Signal Arrows Green Up Arrow (BUY): Appears below the bar when long entry conditions are met Red Down Arrow (SELL): Appears above the bar when short entry conditions are met Yellow Down Arrow (EXIT): Appears above the bar when exit conditions are met Background Coloring Light Green Tint: All three SuperTrends are bullish (uptrend environment) Light Red Tint: All three SuperTrends are bearish (downtrend environment) SuperTrend Lines Three colored lines plotted with varying opacity: Solid line (ST1): Most responsive to price changes Semi-transparent (ST2): Medium-term trend Most transparent (ST3): Long-term trend structure Dashboard Real-time information panel showing: Individual SuperTrend status (UP/DOWN) Current RSI value and color-coded status Current position (LONG/SHORT/FLAT) Net Profit/Loss ⚙️ Customizable Parameters SuperTrend Settings ATR periods for each SuperTrend (default: 10, 11, 12) Multipliers for each SuperTrend (default: 1.0, 2.0, 3.0) RSI Settings RSI length (default: 7) RSI source (default: close) Fibonacci Bollinger Bands BB length (default: 200) BB multiplier (default: 2.618) Strategy Options Enable/disable long trades Enable/disable short trades Initial capital Position sizing Commission settings 💡 Strategy Philosophy This strategy is built on the principle of confluence trading - waiting for multiple independent indicators to align before taking a position. By requiring three SuperTrend indicators AND RSI confirmation, the strategy filters out the majority of low-probability setups. The multi-timeframe SuperTrend approach ensures that short-term, medium-term, and longer-term trends are all in agreement, which typically occurs during strong, sustainable price moves. The exit strategy is equally important, using both trend-following logic (SuperTrend changes) and mean-reversion logic (Fibonacci BB touches) to adapt to different market conditions. 📊 Best Use Cases Trending Markets: Works best in markets with clear directional bias Higher Timeframes: Designed for 15-minute to daily charts Volatile Assets: SuperTrend indicators excel in assets with clear trends Swing Trading: Hold times typically range from hours to days ⚠️ Important Notes No Repainting: All signals are confirmed and will not change on historical bars One Signal Per Setup: The strategy prevents duplicate signals on consecutive bars Exit Protection: Always exits before potentially taking an opposite position Visual Clarity: All three SuperTrend lines are visible simultaneously for transparency 🎯 Recommended Settings While default parameters are optimized for general use, consider: Crypto/Volatile Markets: May benefit from slightly higher multipliers Forex: Default settings work well for major pairs Stocks: Consider longer BB periods (250-300) for daily charts Lower Timeframes: Reduce all periods proportionally for scalping 📝 Alerts Built-in alert conditions for: BUY signal triggered SELL signal triggered EXIT signal triggered Set up notifications to never miss a trade opportunity! Disclaimer: This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Always backtest thoroughly and practice proper risk management before live trading.
אינדיקטור Pine Script®
מאת ‎TRW_meir‎
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