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LNL Keltner CandlesLNL Keltner Candles This indicator plots mean reversion (reversal) arrows with custom painted candles based on the price touch or close above or below keltner channel limits (upper & lower bands). This study was created primarily for swing trading & higher time frames such as daily and weekly. Lower time frames might result in more false signals. Mean Reversal Arrows: 1. Reversal Arrow Up - If the price drops below the lower band extremes, reversal up is the trigger for a bullish mean reversion. 2. Reversal Arrow Down - Once the price reach the higher band extremes, reversal down is the trigger for a bearish mean reversion. The Concept of Mean Reversion: There are just two types of moves in any market: The market is either expanding from the mean or retracing back to the mean. These reversions & epxansions are happening across all types of markets. The goal of this study is to catch the powerful mean reversion from extremes back to the mean. Once the candles light up green / red, it is time to look for the reversal (purple) arrow which triggers the mean reversion setup. Mean reversion is not about catching the next big swing turn to new highs or lows. It is all about the base hits = the mean. So the target here is always the average price. The idea here is to catch the average market ebbs & flows, not the next home run. What Do I Mean by Mean? Mean is usually the average price from the last 20-30 bars. Basically something like a 20 MA or Keltner Channel or Bollinger Band midline are really good visual representators of the mean (average price). Hope it helps.
Pine Script™ indicator
by lnlcapital
12
Composite Cosmetic CandlesThis is effectively version 2 of my script "Candle Fill % Meter", with a few different/more options available in a more compact form. Choose between multiple oscillator sources, # of dividing lines, and solid or gradient candle fill. Once again this script is intended for use with hollow candles! This script enables you to see more information with less screen space taken up, not to mention it looks nice. Labels by last bar also toggleable in the settings.
Pine Script™ indicator
by EsIstTurnt
4
Real Price Line + Dots (for Heikin Ashi)Real Price Line + Dots (for Heikin Ashi) This indicator is designed for use on Heikin Ashi charts. Its purpose is to enable traders to benefit from price averaging and smoothing effects of Heikin Ashi candles whilst also enabling them to see the current real price line, and optionally, real price close dots on the Heikin Ashi candlesticks. Features include: - Optional real price line - Optional real price close dots - Customisable colours - Customisable line style - Customisable line width What are Heikin Ashi candles? Heikin Ashi means 'average bar' in Japanese, Heikin Ashi charts do not show real price as standard, due to the way the Open, High, Low and Close values are calculated using averages, This is done in order to create a smoother appearance and reduce the market 'noise'. You can read more about Heikin Ashi candlesticks here. NOTE: - If real price dots appear behind the candles, you may need to select the triple dot menu on the indicator then select "Visual order" > "Bring to front" , so that the dots are shown above the candles. - When using this indicator on a Heikin Ashi chart, the standard Tradingview price line will not show accurate real price. Therefore when using the price line in this indicator, the standard price line should be disabled within the Tradingview 'Chart settings' dialog > 'Symbol' tab > uncheck 'Last', under the 'Price line' section.
Pine Script™ indicator
by PHVNTOM_TRADER
20
Candlestick - Kicker PatternNot many candlestick patterns hurt traders on the other side of the trade more than this signal, when it happens, think of it as kicking in the teeth, the pain is real. An upwards signal is painted when you have a two-bar formation, the one on the left is a bearish one whereas the successive one is bullish, when you have fat bodies in both candles, meaning the open is close to the high and the close is close to the low for the first candle, while the open is close to the low and the close is close to the high for the adjacent candle, the pain is ever more excruciating, the other important condition is the open of the first candle must be lower than the open of the latter one. The downwards signal is vice versa of the upwards signal.
Pine Script™ indicator
by FxCloudTrader
1
Breakout Candles + RSIHello! This is my firt script :) This indicator looks for candles that are significantly larger than the previous X candle. It is possible to set the following: Multiplier: deviation from the size of the previous X candle (if set to 3 the size of the actual candle's body /abs(open - close)/ must be larger than the size of the bigger candle from the prevous X candles) Previous candles: the number of previous candles to size check Upper RSI limit: if the RSI14 close higher than the specified number, the candle will ignore Lower RSI limit: if the RSI14 close lower than the specified number, the candle will ignore Without dojis: if checked, watches candles only that do not have a bottom spike (bullish) or top spike (bearish). Useful for Heikin-Ashi candles Feel free to left any suggestion! Thank You!
Pine Script™ indicator
by mildZebra14333
1
Williams Vix Fix OHLC candles plot indicator (Tartigradia)OHLC candles plot of the Williams VixFix indicator, which allows to draw trend lines. Williams VixFix is a realized volatility indicator developed by Larry Williams, and can help in finding market bottoms. Indeed, as Williams describe in his paper, markets tend to find the lowest prices during times of highest volatility, which usually accompany times of highest fear. The VixFix is calculated as how much the current low price statistically deviates from the maximum within a given look-back period. The Williams VixFix indicator is usually presented as a curve or histogram. The novelty of this indicator is to present the data as a OHLC candles plot: whereas the original Williams VixFix calculation only involves the close value, we here use the open, high and low values as well. This led to some mathematical challenges because some of these calculations led to absurd values, so workarounds had to be found, but in the end I think the result was worth it, it reproduces the VIX chart quite well. A great additional value of the OHLC chart is that it shows not just the close value, but all the values during the session: open, high and low in addition to close. This allows to draw trend lines and can provide additional information on momentum and sentiment. In addition, other indicators can be used on it, as if it was a price chart, such as RSI indicators (see RSI+ (alt) indicator for example). For more information on the Vix Fix, which is a strategy published under public domain: The VIX Fix, Larry Williams, Active Trader magazine, December 2007, web.archive.org Fixing the VIX: An Indicator to Beat Fear, Amber Hestla-Barnhart, Journal of Technical Analysis, March 13, 2015, ssrn.com Replicating the CBOE VIX using a synthetic volatility index trading algorithm, Dayne Cary and Gary van Vuuren, Cogent Economics & Finance, Volume 7, 2019, Issue 1, doi.org This indicator includes only the Williams VixFix as an OHLC candles or bars plot, and price / vixfix candles plot, as well as the typical vixfix histogram. Indeed, it is much more practical for unbounded range indicators to be plotted in their own separate panel, hence why this indicator is released separately, so that it can work and be scaled adequately out of the box. Note that the there are however no bottom buy signals. For a more complete indicator, which also includes the OHLC candles plots present here, but also bottom signals and Inverse VixFix (top signals), see: Set Index symbol to SPX, and index_current = false, and timeframe Weekly, to reproduce the original VIX as close as possible by the VIXFIX (use the Add Symbol option, because you want to plot CBOE:VIX on the same timeframe as the current chart, which may include extended session / weekends). With the Weekly timeframe, off days / extended session days should not change much, but with lower timeframes this is important, because nights and weekends can change how the graph appears and seemingly make them different because of timing misalignment when in reality they are not when properly aligned.
Pine Script™ indicator
by tartigradia
6
Yearly CandlesPlots yearly candles from monthly candles data. This indicator could also be used to view yearly candles of those symbols for which candlesticks are not available in TradingView (for e.g., ECONOMICS:USINTR , ECONOMICS:USIRYY , ECONOMICS:USWG etc) As these are not out of the box candles they do have these shortcomings - Last candle's data is not available in status line, a separate label lists OHLC and change details near its close level The very first candle's width may vary based on how much data is available for that year Works only with monthly timeframe Only those indicators that can be added on other indicators can be applied, however, they may still not work as intended as this still technically is a monthly chart!
Pine Script™ indicator
by iravan
8
Fractal-Dimension-Index-Adaptive Trend Cipher Candles [Loxx]Fractal-Dimension-Index-Adaptive Trend Cipher Candles is a candle coloring indicator that shows both trend and trend exhaustion using Fractal Dimension Index Adaptivity. To do this, we first calculate the dynamic period outputs from the FDI algorithm and then we injection those period inputs into a correlation function that correlates price input price to the candle index. The closer the correlation is to 1, the lighter the green color until the color turns yellow, sometimes, indicating upward price exhaustion. The closer the correlation is to -1, the lighter the red color until it reaches Fuchsia color indicating downward price exhaustion. Green means uptrend, red means downtrend, yellow means reversal from uptrend to downtrend, fuchsia means reversal from downtrend to uptrend. What is the Fractal Dimension Index? The goal of the fractal dimension index is to determine whether the market is trending or in a trading range. It does not measure the direction of the trend. A value less than 1.5 indicates that the price series is persistent or that the market is trending. Lower values of the FDI indicate a stronger trend. A value greater than 1.5 indicates that the market is in a trading range and is acting in a more random fashion. Included Loxx's Expanded Source Types Related indicators: Adaptive Trend Cipher loxx] CFB-Adaptive Trend Cipher Candles Dynamic Zones Polychromatic Momentum Candles RSI Precision Trend Candles
Pine Script™ indicator
by loxx
1
CFB-Adaptive Trend Cipher Candles [Loxx]CFB-Adaptive Trend Cipher Candles is a candle coloring indicator that shows both trend and trend exhaustion using Composite Fractal Behavior price trend analysis. To do this, we first calculate the dynamic period outputs from the CFB algorithm and then we injection those period inputs into a correlation function that correlates price input price to the candle index. The closer the correlation is to 1, the lighter the green color until the color turns yellow, sometimes, indicating upward price exhaustion. The closer the correlation is to -1, the lighter the red color until it reaches Fuchsia color indicating downward price exhaustion. Green means uptrend, red means downtrend, yellow means reversal from uptrend to downtrend, fuchsia means reversal from downtrend to uptrend. What is Composite Fractal Behavior ( CFB )? All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets. Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration. Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action. The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit! This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic. CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis. Included Loxx's Expanded Source Types Related indicators: Adaptive Trend Cipher loxx] Dynamic Zones Polychromatic Momentum Candles RSI Precision Trend Candles
Pine Script™ indicator
by loxx
5
Candle Info by MontyThis indicator was made to help my friend. This indicator basically calculates the MOVE in percentage and shows the OHLC of candle in a label. -> Panel Index: How much index you want the label to be. -> Show Candle OHLC: Shows Open High Low and Close of the candle in the panel/label -> % Calculation Mode: 1: Calculated by Candle Wick Low to Candle Wick High for Green candle and Vice Versa for Red Candle 2: Calculated by Open of a candle to the current price. -> Label Text Color: Used to change the color of the Label Text -> Label Background Color: Used to change the color of Label background Join the free Discord: discord.gg/chuffgang
Pine Script™ indicator
by MontyTheGuy
Market Sessions Day & Candles JRA V2.0Market Sessions Day & Candles JRA V2.0 This indicator will allow you to: - Create boxes for the Market Hours for: '♯1 SESSION TOKYO' '♯2 SESSION LONDON' '♯3 SESSION NEW YORK' You will be able to change the Hours depending your TimeFrame You will be able to extend the boxes for the Market Hours and Have Fibonacci Levels on it. - With every one of it you can change the style of Box for the Market Hours - You can show Labels for the Market hours as well other options like Price or Pips - Show the Candles for the TimeFrames depending your settings - You can change the Candles settings to be Candle or Bar - Candle Resolution on Timeframe -Maximum candles to Display -Show or Unshown Timeframes Candles -Change colors on candles Every option has a Tip to understand the function to it
Pine Script™ indicator
by JRobertAlva
4
Candlestick Channels [LuxAlgo]Candlestick Channels return channels whose extremities converge towards the price when a corresponding candlestick pattern is detected. This allows for us to obtain more reactive extremities in the presence of a cluster of candlestick patterns. The detected candlestick patterns are also highlighted with labels on your chart automatically. Settings Trend Length: Period of the stochastic oscillator used to determine trend sentiment; this sentiment is used to detect certain candlestick patterns. Convergence: Convergence percentage of the channel extremities used during the occurrence of a candlestick pattern. A lower value will return extremities converging more slowly toward the price. Smooth: Determines the degree of smoothness of the channel extremities. Patterns This category determines which patterns are detected by the indicator. Patterns toggled off will not be detected and won't affect the channels. Usage Candlesticks patterns are commonly used by traders to detect potential reversals or continuation periods in the price. It can be of interest to use them as core elements in the calculation of more classical indicators, this can allow us to filter out potential false signals returned by candlestick patterns by shifting the source of interpretation towards the channel extremities instead. In this indicator extremities converge towards the price when a corresponding pattern is detected. As such bullish patterns will make the upper extremity converge towards the price, facilitating a cross with price. Using a lower convergence percentage will require a greater number of patterns to make the extremity converge closer towards the price. Users can use the channel like most indicators returning extremities, with an uptrend being detected when price cross over the upper extremity and a downtrend being detected when price cross under the lower extremity. An approach solely making use of crosses between the price and the average line can be used but the user should expect further whipsaws signals. Users can eventually use the candlestick patterns as entries and use the extremities for confirmation. For example, users can follow a candlestick pattern return an indication in accordance with the detected trend by the channels. This approach would lead to the following of bullish patterns when they occur in an uptrend, that is when the price is above the average line (in orange). The same logic applies to bearish patterns. The chart above highlights the candlesticks patterns in accordance with a detected trend. Notes - Bullish/Bearish engulfing patterns are turned off by default due their more frequent appearance. - Candlestick patterns relying on gaps were not included, since they would be more uncommon in cryptocurrencies, thus leading to a disparity between the indicator performance on the cryptocurrency and stock market.
Pine Script™ indicator
by LuxAlgo
26
T3 Velocity Candles [Loxx]T3 Velocity Candles is a candle coloring overlay that calculates its gradient coloring using T3 velocity. What is the T3 moving average? Better Moving Averages Tim Tillson November 1, 1998 Tim Tillson is a software project manager at Hewlett-Packard, with degrees in Mathematics and Computer Science. He has privately traded options and equities for 15 years. Introduction "Digital filtering includes the process of smoothing, predicting, differentiating, integrating, separation of signals, and removal of noise from a signal. Thus many people who do such things are actually using digital filters without realizing that they are; being unacquainted with the theory, they neither understand what they have done nor the possibilities of what they might have done." This quote from R. W. Hamming applies to the vast majority of indicators in technical analysis . Moving averages, be they simple, weighted, or exponential, are lowpass filters; low frequency components in the signal pass through with little attenuation, while high frequencies are severely reduced. "Oscillator" type indicators (such as MACD , Momentum, Relative Strength Index ) are another type of digital filter called a differentiator. Tushar Chande has observed that many popular oscillators are highly correlated, which is sensible because they are trying to measure the rate of change of the underlying time series, i.e., are trying to be the first and second derivatives we all learned about in Calculus. We use moving averages (lowpass filters) in technical analysis to remove the random noise from a time series, to discern the underlying trend or to determine prices at which we will take action. A perfect moving average would have two attributes: It would be smooth, not sensitive to random noise in the underlying time series. Another way of saying this is that its derivative would not spuriously alternate between positive and negative values. It would not lag behind the time series it is computed from. Lag, of course, produces late buy or sell signals that kill profits. The only way one can compute a perfect moving average is to have knowledge of the future, and if we had that, we would buy one lottery ticket a week rather than trade! Having said this, we can still improve on the conventional simple, weighted, or exponential moving averages. Here's how: Two Interesting Moving Averages We will examine two benchmark moving averages based on Linear Regression analysis. In both cases, a Linear Regression line of length n is fitted to price data. I call the first moving average ILRS, which stands for Integral of Linear Regression Slope. One simply integrates the slope of a linear regression line as it is successively fitted in a moving window of length n across the data, with the constant of integration being a simple moving average of the first n points. Put another way, the derivative of ILRS is the linear regression slope. Note that ILRS is not the same as a SMA ( simple moving average ) of length n, which is actually the midpoint of the linear regression line as it moves across the data. We can measure the lag of moving averages with respect to a linear trend by computing how they behave when the input is a line with unit slope. Both SMA (n) and ILRS(n) have lag of n/2, but ILRS is much smoother than SMA . Our second benchmark moving average is well known, called EPMA or 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 price we pay for this is that it is much noisier (less smooth) than ILRS, and it also has the annoying property that it overshoots the data when linear trends are present. However, EPMA has a lag of 0 with respect to linear input! This makes sense because a linear regression line will fit linear input perfectly, and the endpoint of the LR line will be on the input line. These two moving averages frame the tradeoffs that we are facing. On one extreme we have ILRS, which is very smooth and has considerable phase lag. EPMA has 0 phase lag, but is too noisy and overshoots. We would like to construct a better moving average which is as smooth as ILRS, but runs closer to where EPMA lies, without the overshoot. A easy way to attempt this is to split the difference, i.e. use (ILRS(n)+EPMA(n))/2. This will give us a moving average (call it IE /2) which runs in between the two, has phase lag of n/4 but still inherits considerable noise from EPMA. IE /2 is inspirational, however. Can we build something that is comparable, but smoother? Figure 1 shows ILRS, EPMA, and IE /2. Filter Techniques Any thoughtful student of filter theory (or resolute experimenter) will have noticed that you can improve the smoothness of a filter by running it through itself multiple times, at the cost of increasing phase lag. There is a complementary technique (called twicing by J.W. Tukey) which can be used to improve phase lag. If L stands for the operation of running data through a low pass filter, then twicing can be described by: L' = L(time series) + L(time series - L(time series)) That is, we add a moving average of the difference between the input and the moving average to the moving average. This is algebraically equivalent to: 2L-L(L) This is the Double Exponential Moving Average or DEMA , popularized by Patrick Mulloy in TASAC (January/February 1994). In our taxonomy, DEMA has some phase lag (although it exponentially approaches 0) and is somewhat noisy, comparable to IE /2 indicator. We will use these two techniques to construct our better moving average, after we explore the first one a little more closely. Fixing Overshoot An n-day EMA has smoothing constant alpha=2/(n+1) and a lag of (n-1)/2. Thus EMA (3) has lag 1, and EMA (11) has lag 5. Figure 2 shows that, if I am willing to incur 5 days of lag, I get a smoother moving average if I run EMA (3) through itself 5 times than if I just take EMA (11) once. This suggests that if EPMA and DEMA have 0 or low lag, why not run fast versions (eg DEMA (3)) through themselves many times to achieve a smooth result? The problem is that multiple runs though these filters increase their tendency to overshoot the data, giving an unusable result. This is because the amplitude response of DEMA and EPMA is greater than 1 at certain frequencies, giving a gain of much greater than 1 at these frequencies when run though themselves multiple times. Figure 3 shows DEMA (7) and EPMA(7) run through themselves 3 times. DEMA^3 has serious overshoot, and EPMA^3 is terrible. The solution to the overshoot problem is to recall what we are doing with twicing: DEMA (n) = EMA (n) + EMA (time series - EMA (n)) The second term is adding, in effect, a smooth version of the derivative to the EMA to achieve DEMA . The derivative term determines how hot the moving average's response to linear trends will be. We need to simply turn down the volume to achieve our basic building block: EMA (n) + EMA (time series - EMA (n))*.7; This is algebraically the same as: EMA (n)*1.7-EMA( EMA (n))*.7; I have chosen .7 as my volume factor, but the general formula (which I call "Generalized Dema") is: GD (n,v) = EMA (n)*(1+v)-EMA( EMA (n))*v, Where v ranges between 0 and 1. When v=0, GD is just an EMA , and when v=1, GD is DEMA . In between, GD is a cooler DEMA . By using a value for v less than 1 (I like .7), we cure the multiple DEMA overshoot problem, at the cost of accepting some additional phase delay. Now we can run GD through itself multiple times to define a new, smoother moving average T3 that does not overshoot the data: T3(n) = GD ( GD ( GD (n))) In filter theory parlance, T3 is a six-pole non-linear Kalman filter. Kalman filters are ones which use the error (in this case (time series - EMA (n)) to correct themselves. In Technical Analysis , these are called Adaptive Moving Averages; they track the time series more aggressively when it is making large moves.
Pine Script™ indicator
by loxx
[HA] Heikin-Ashi Shadow Candles// For overlaying Heikin Ashi candles over basic charts, or for use in it's own panel as an oscillator. // Enjoy the visual cues of HA candles, without giving up price action awareness. // Good for learning and comparison. // Aug 11 2022 Release Notes: * Bugfix: Candle color was based on classic direction not HA direction (did not update cover photo). // Aug 12 2022 Release Notes: * Implemented true oscillator mode. Provided as separate plot (styles tab) or mode switch option (Inputs tab). TV gets spazzy with "styles tab" "default hidden" plots, and will reset them if any variables are modified that affect them (i.e. wick color override). Mode switch should be sufficient for both users. // Aug 21 2022 Republished because of typo in indicator name prevented search.
Pine Script™ indicator
by JollyWizard
1
Commodity Channel Relative StrengthNew concept(I think atleast) I've joined the Standard RSI and CCI at the hip with another plotcandle, which gives a picture of a larger candle With more interesting movement imo. Includes Fib Retracement Levels, High/Low and a couple of coppock curves for more confirmation. Broadening candles seem to indicate a weakening of trend strength (from what i've seen atleast) although exceptions do occur. Vice versa for tapering to a lesser degree I imagine. RSI has been shifted down to 0 to align the center point with the CCI , so the usual 30/70 RSI Levels are now -20/20 (although I have 30/-30 instead for the hlines).
Pine Script™ indicator
by EsIstTurnt
RSI Candle with Connors RSI and Heikin Ashi (CRSICHA)This script was designed to work and feel like the built in RSI script but with a lot of added feature that traders might enjoy. You get to see the RSI represented as candle sticks OR Heikin Ashi. I have added in Connors RSI as a bonus so you can see what this lesser used study looks like in candle form. Just like in the original script I have moving averages and Bollinger Bands. I must say, Heikin Ashi really excells in this situation because you don't need to know an exact price! As always I hope every one finds this useful! Enjoy!
Pine Script™ indicator
by The_Peaceful_Lizard
11
RSI Precision Trend Candles [Loxx]RSI Precision Trend Candles is a candle coloring indicator that uses an average range algorithm to determine trend direction. The precision trend algorithm can be used on any calculated output to tease out interesting trend information. What is RSI? The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The indicator was developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, New Concepts in Technical Trading Systems. Included Bar coloring Signals Alerts Loxx's Expanded Source Types
Pine Script™ indicator
by loxx
3