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Breadth Indicators

Divergence+ [MS]Divergence indicator for any asset and any time frame that shows bullish and bearish regular (dotted) and hidden (dashed) divergences. Simple to use, just add to your chart and select the size of divergences you want to see. Scalping? Use a lower number. Swing trading? Use a higher number. Set alerts on when divergences appear. Settings • Set the divergence size • Show hidden divergences • Show signals with divergences Use the link below or PM us to obtain access to this indicator.
Pine Script™ indicator
by marketscripters
94
Support Resistance - Aging [Example]Hello All, First all of Thanks to Pine Team for adding Arrays to Pine! In this script I tried to make example for 1. Finding S/R lines using highest/lowest function 2. Using 1D array as 2D (we keep S/R levels and age) 3. "Age" usage for S/R levels, getting older on each candle and changing colors by their age (maximum age is 127 then it disappears) You can use "Close"/Open " or " High/Low " as source. There is an option for the background color, by default it's Black, do not forget to set it accordingly :) Enjoy!
Pine Script™ indicator
by LonesomeTheBlue
19
LT Sigma Chart 2.0The indicator uses colours to identify whether price has become extremely “overbought” or extremely “oversold”. Sigma is a measure of standard deviation, which is what this indicator uses. Usually when price moves 2 (or 3) standard deviations beyond the mean average, price can often become over-extended (e.g. extremely overbought or oversold) – and usually this is followed by a reversion to the mean. When the price enters the red sigma zone, this indicates that the price has probably become extremely “extended” in one direction – and that there is a probability that it could revert back to the mean (i.e. pullback to the blue zone). When price moves into the upper red sigma zone, this can indicate the price is extremely “overbought”. When price moves into the lower red sigma zone, this can indicate the price is extremely “oversold”. Usually, on balance of probabilities, when price enters the red sigma zones, there is a likelihood that price could revert back to the blue zone (i.e. reversion back to the mean) – although there is no certainty of this happening, but only a probability. For this reason we prefer to combine Sigma with momentum – i.e. the sigma wave momentum dots (which is provided with the LT Sigma 2.0 indicator). The yellow sigma zone denotes when price is moderately overbought/oversold (depending on whether it is the upper or lower yellow zone respectively). The blue zone shows the mid-levels. The indicator has a feature which shows “green” dots in the middle of the red zones – this usually indicates the middle of the red zone, which is often the likely or probable levels where price may test. There is also a “white” or “yellow” dot which is beyond the red zone – this shows 2 standard deviations beyond the green dot, an indication of increasing risk in case the price moves beyond the green dot into the white dot region. A chartist can use the distance from the green dot to the white dot as a measure of risk (and to minimise risk) in case the price did not revert back to the mean from the red zone. In some circumstances, such as when the momentum is strong, it is possible for the price to ignore the red sigma zone and continue moving beyond the red sigma zone (hence the risk and why it is important to minimise such risks). As mentioned, we prefer to use LT sigma with momentum – i.e. the sigma wave momentum – which is provided with the LT Sigma 2.0 indicator. The sigma wave momentum is a simple momentum based indicator (similar to MACD) which can help show us the likely path of least resistance and the strongest trend. When the sigma wave momentum is above zero and increasing (i.e. bullish), it is shown ABOVE the sigma indicator as a blue dot (in the lower panel indicator). This can indicate increasing momentum to the upside. Similarly when sigma wave momentum is below zero and increasing lower (i.e. bearish), it is shown below the sigma indicator as a blue dot, this can indicate increasing momentum to the downside. The grey dots on the sigma wave momentum denote dissipating or decreasing momentum. To further increase probabilities, we prefer to use sigma with sigma wave momentum (which can act as a sigma “filter”). If the sigma wave momentum dot is blue and in the LOWER section (i.e. below the sigma indicator), and the price on the sigma enters the upper red sigma zone, the probability is usually higher for the price to drop and fall back to the mean (revert to the mean) – meaning pullback back to the sigma blue zone. Vice versa applies: if sigma momentum dot is blue and in the UPPER section (i.e. above the sigma indicator) and price then enters the lower red sigma zone, the probability is usually higher for the price to bounce and revert back to the mean – meaning pullback to the blue sigma zone. The probabilities are different and lower if the sigma wave momentum does not align with the sigma indicator. For example, if price is rallying higher and the sigma wave momentum dot is bullish (i.e. blue and above the sigma indicator) then the odds of a reversion to the mean is lower. Similarly if price is dropping and the sigma wave momentum dot is bearish (i.e. blue and below the sigma indicator) then the odds of a reversion the mean is lower. The grey dots denote dissipating momentum so they would be irrelevant in this context. When using the indicator on very volatile markets such as cryptos, metals, individual stocks and lower timeframe charts, it is better to apply the strict criteria filter in the settings. Chartists should be aware of the probabilistic and uncertain nature of price action and the markets, and therefore prepare to limit and control any potential risks. The indicator can be used on the charts of the majority of markets (e.g. stocks, indices, ETFs, currencies, cryptocurrencies, precious metals, commodities etc.) and any timeframe. It should be noted that the degree of noise and randomness increases significantly on lower timeframes. So the lower the timeframe that is chosen (e.g. 15-min or lower) the greater the degree of noise and randomness and therefore the higher the frequency of false signals or whipsaws. The indicator can be applied to candlesticks and OHLC bar charts. If you would like access, please send me a PM on Tradingview.
Pine Script™ indicator
by LeadingTrader
7
LT Sigma 2.0The indicator uses colours to identify whether price has become extremely “overbought” or extremely “oversold”. Sigma is a measure of standard deviation, which is what this indicator uses. Usually when price moves 2 (or 3) standard deviations beyond the mean average, price can often become over-extended (e.g. extremely overbought or oversold) – and usually this is followed by a reversion to the mean. When the price enters the red sigma zone, this indicates that the price has probably become extremely “extended” in one direction – and that there is a probability that it could revert back to the mean (i.e. pullback to the blue zone). When price moves into the upper red sigma zone, this can indicate the price is extremely “overbought”. When price moves into the lower red sigma zone, this can indicate the price is extremely “oversold”. Usually, on balance of probabilities, when price enters the red sigma zones, there is a likelihood that price could revert back to the blue zone (i.e. reversion back to the mean) – although there is no certainty of this happening, but only a probability. For this reason we prefer to combine Sigma with momentum – i.e. the sigma wave momentum dots. The yellow sigma zone denotes when price is moderately overbought/oversold (depending on whether it is the upper or lower yellow zone respectively). The blue zone shows the mid-levels. The indicator has a feature which shows “green” dots in the middle of the red zones – this usually indicates the middle of the red zone, which is often the likely or probable levels where price may test. There is also a “white” or “yellow” dot which is beyond the red zone – this shows 2 standard deviations beyond the green dot, an indication of increasing risk in case the price moves beyond the green dot into the white dot region. A chartist can use the distance from the green dot to the white dot as a measure of risk (and to minimise risk) in case the price did not revert back to the mean from the red zone. In some circumstances, such as when the momentum is strong, it is possible for the price to ignore the red sigma zone and continue moving beyond the red sigma zone (hence the risk and why it is important to minimise such risks). As mentioned, we prefer to use LT sigma with momentum – i.e. the sigma wave momentum. The sigma wave momentum is a simple momentum based indicator (similar to MACD) which can help show us the likely path of least resistance and the strongest trend. When the sigma wave momentum is above zero and increasing (i.e. bullish), it is shown ABOVE the sigma indicator as a blue dot (in the lower panel indicator). This can indicate increasing momentum to the upside. Similarly when sigma wave momentum is below zero and increasing lower (i.e. bearish), it is shown below the sigma indicator as a blue dot, this can indicate increasing momentum to the downside. The grey dots on the sigma wave momentum denote dissipating or decreasing momentum. To further increase probabilities, we prefer to use sigma with sigma wave momentum (which can act as a sigma “filter”). If the sigma wave momentum dot is blue and in the LOWER section (i.e. below the sigma indicator), and the price on the sigma enters the upper red sigma zone, the probability is usually higher for the price to drop and fall back to the mean (revert to the mean) – meaning pullback back to the sigma blue zone. Vice versa applies: if sigma momentum dot is blue and in the UPPER section (i.e. above the sigma indicator) and price then enters the lower red sigma zone, the probability is usually higher for the price to bounce and revert back to the mean – meaning pullback to the blue sigma zone. The probabilities are different and lower if the sigma wave momentum does not align with the sigma indicator. For example, if price is rallying higher and the sigma wave momentum dot is bullish (i.e. blue and above the sigma indicator) then the odds of a reversion to the mean is lower. Similarly if price is dropping and the sigma wave momentum dot is bearish (i.e. blue and below the sigma indicator) then the odds of a reversion the mean is lower. The grey dots denote dissipating momentum so they would be irrelevant in this context. When using the indicator on very volatile markets such as cryptos, metals, individual stocks and lower timeframe charts, it is better to apply the strict criteria filter in the settings. Chartists should be aware of the probabilistic and uncertain nature of price action and the markets, and therefore prepare to limit and control any potential risks. The indicator can be used on the charts of the majority of markets (e.g. stocks, indices, ETFs, currencies, cryptocurrencies, precious metals, commodities etc.) and any timeframe. It should be noted that the degree of noise and randomness increases significantly on lower timeframes. So the lower the timeframe that is chosen (e.g. 15-min or lower) the greater the degree of noise and randomness and therefore the higher the frequency of false signals or whipsaws. The indicator can be applied to candlesticks and OHLC bar charts. If you would like access, please send me a PM on Tradingview.
Pine Script™ indicator
by LeadingTrader
2
cum1or-1DeepL Translation------------------------------------------------------------------------------------------------------------------------------------------- If you compare the positive line to 1 and the negative line to -1, and then add them together, you can see how the shape changes compared to the price chart This is an indicator that I made to look at. It is subjective, but I think it is easy to understand the trend. 日本語--------------------------------------------------------------------------------------------------------------------------------------------------------- 陽線を1、陰線を-1としその合計を出した価格チャートと比較して形がどのように変化するか、 見てみたいと思い作ったインジケーターです。 主観になりますがトレンドが分かりやすいかなと思います。
Pine Script™ indicator
by utopiosphere999
TRADERS COMPANION BUY AND SELL INDICATORTHE 'PROBLEM' A lot of buy and sell strategies are based on price action being at a particular (support) level, crossovers of different moving averages or of price action over moving averages. Whilst this is a safe way to trade, the price paid is lost earnings , whilst one waits for price/moving averages to reach a particular level/configuration. So for instance price may have to move X% before it crosses over a critical level and only then is a trade taken - the X% is usually 'lost'. THE 'SOLUTION' My motivation was to write a buy and sell indicator which makes (long) calls as early as possible therefore maximising profits and minimising losses whilst also identifying local tops at which profits may be taken if so desired. THE METHOD The philosophy of this indicator is centred around analysis of candlestick parameters for the present candle and comparing these to those of previous candles at set points. The results of these comparisons are then correlated with moving averages of price action and in so doing one is able to detect shift reversals earlier than conventional indicators would. Consequently, a signal can be created very close to the bottom of a rally. In addition, a 'take profit' signal can be created from what has been identified as a local top. Please refer to the attached chart where it becomes evident quite immediately that buy and TP signals allow for maximisation of a given trend, hence maximisation of profits. MARKETS The script may be applied to any market i.e. crypto, forex, stocks - as long as there's a chart on Tradingview, it will work. CONDITIONS The script works well in all time frames. Obviously at higher time frames one gets 'cleaner' signals since high time frames are themselves a kind of filter, given that lower time frames are 'busy' by nature. CAVEAT Whilst great care and attention has been put into polishing and re-polishing this script, it needs to be stated that it's not perfect. Two issues that one needs to be aware of: 1.) Sometimes signals will not be made as early as the actual bottom of a rally. Mitigation for this is two fold: a.) Most of the calls made by the script are close to a bottom and therefore profits realised from this are far more than any losses accrued from a late call. b.) The script should never be used in isolation but along with TA strategies and common sense. 2. Sometimes a 'bad' call will be made. Mitigation for this is two fold: a.) The script has a 'smart' feature that calls for exit signals as soon as it's realised that the long call was not a favourable one. This enables one to minimise losses by cutting them quickly. b.) The script should never be used in isolation but along with TA strategies and common sense. PLEASE PERUSE ATTACHED CHART I encourage you to please peruse the attached 'GOBTC' chart for a demonstration of the script in play. HOW TO GET AND USE THE SCRIPT Since its invite only, please PM me and I will be happy to add you. Once added, you will see the list under Indicators>Inviteonlyscripts>TRADERS COMPANION at which point you click and it will show on your chart. It also needs to be stated that there is a no obligation trial period during which one is encouraged to 'test-drive' the script to ones hearts content.
Pine Script™ indicator
by patakopesa
60
Advanced Fractal Dimension Index [DW]This is an experimental study based on Benoit Mandelbrot's fractal dimension concepts. Fractal dimension is a ratio providing a statistical measure of complexity comparing how detail in a pattern changes with the scale at which it's measured. The concept of a fractional or fractal dimension was derived from an unconventional approach to standard geometric definitions. We all know the standard geometric rules of dimension: D=0 is a point, D=1 is a line, D=2 is a plane, and D=3 is a volume, based on the number of axes being occupied. However, by taking a fractal geometric approach, we can define dimension like so: N = s^-D , where N is the number of measurement segments, s is the scale factor, and D is the dimension of the object being measured. This approach typifies conventional knowledge of dimensions as well. Here are some basic examples: If we divide a line segment into 4 equal line segments, then we'd get 4 = (1/4)^-D. Solving for D, we get D=1, which is what we'd expect from a line. If we divide a square into 16 equal squares, we'd be separating each line on the square into 4 pieces, so 16 = (1/4)^-D. Solving for D, we get D=2, which is what we'd expect from a square. If we divide a cube into 64 equal cubes, we'd be separating each line on the cube into 4 pieces, so 64 = (1/4)^-D. Solving for D, we get D=3, which is what we'd expect from a cube. The same approach can be applied to fractal objects, although admittedly it's less intuitive. Let's say you use a stick to measure a curve, then you divide the stick into 3 equal segments and re-measure the length. But rather than the re-measured curve showing a length of 3 of the smaller segments, it is actually 4 segments long. This irregularity means that detail has increased as you scaled your measurement down, so the curve is dimensionally higher than the space it resides in. In this example: 4 = (1/3)^-D. Solving for D, we get D=1.2619. For a true fractal, this scaling of self-similar measurements would continue infinitely. However, unlike true fractals, most real world phenomena exhibit limited fractal properties, in which they can be scaled down to some limited quantity. Many forms of time series data (seismic data, ECG data, financial data, etc.) have been theoretically shown to have limited fractal properties. Consequently, we can estimate fractal dimension from this data to get an approximate measure of how rough or convoluted the data stream is. Financial data's fractal dimension is limited to between 1 and 2, so it can be used to roughly approximate the Hurst Exponent by the relationship H = 2 - D. When D=1.5, data statistically behaves like a random walk. D above 1.5 can be considered more rough or "mean reverting" due to the increase in complexity of the series. D below 1.5 can be considered more prone to trending due to the decrease in complexity of the series. In this study, you are given the option to apply equalization (EQ) to the dataset before estimating dimension. This enables you to transform your data and observe how its complexity changes as well. Whether you want to give emphasis to some frequencies, isolate specific bands, or completely alter the shape of your waveform, EQ filtration makes for an interesting experience. The default EQ preset in this script removes the low shelf, then attenuates low end and high end oscillations. The dominant cyclical components (bands 3 - 5 on default settings) are passed at 100%, keeping emphasis on 8 to 64 sample per cycle oscillations. In addition, if you're wanting a simpler filter process, or if you want a little extra, there are options included to pre and post smooth the data with 2 pole Butterworth LPFs. The dimension estimation in this script works by measuring changes in detail using source's maximum range over a given lookback length. In essence, it recursively updates its length parameter based on changes in range compared to the maximum over the lookback period, then uses the data to solve for D. The FDI algorithm works on any length greater than 1. However, I didn't notice any particularly meaningful results with lookback lengths of 15 or less. A custom color scheme is included in this script as well for FDI fill and bar colors. The color scheme in this script is a multicolored thermal styled gradient. The scale of gradient values is determined by the designated high and low dimension thresholds. These thresholds determine what range of values the gradient will focus on. Values at the high threshold are the coolest and darkest, and values at the low threshold are the warmest and brightest. Basically, the "trendier" the data is, the brighter and warmer the color will be. Signals and alerts are included as well for crossovers on the high and low dimension thresholds. These signals can also be externally linked to another script. The output format is 1 for the trigger, and 0 otherwise. Basic boolean logic. To integrate these signals with your script, simply use a source input and select the signal output from this script that you wish to use from the dropdown menu. Fractal dimension is a powerful tool that can give valuable insight about the complexity and persistence / anti-persistence of price movements. When used in conjunction with other analytical methods, it can prove to be a surprisingly beneficial tool to have in the arsenal. ----------------------------------------------------- This is a premium script, and access is granted on an invite-only basis. To gain access, get a copy of the indicator overview, or for additional inquiries, send me a direct message. I look forward to hearing from you! ----------------------------------------------------- General Disclaimer: Trading stocks, futures, Forex, options, ETFs, cryptocurrencies or any other financial instrument has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in stocks, futures, Forex, options, ETFs or cryptocurrencies. Don’t trade with money you can’t afford to lose. This is neither a solicitation nor an offer to Buy/Sell stocks, futures, Forex, options, ETFs, cryptocurrencies or any other financial instrument. No representation is being made that any account will or is likely to achieve profits or losses of any kind. The past performance of any trading system or methodology is not necessarily indicative of future results.
Pine Script™ indicator
by DonovanWall
26
VVOscillator [nb]Multiple volume oscillators in one. Description: As Warren Guppet once said, be “fearful when others are buying less, and greedy when others are selling less.” Divergences are the main point of usage of all bundled indicators. OBV Oscillator, remade. The formula has been changed to smooth out the way OBV is calculated during a trending move OBV Oscillator, original OBV formula. Price Volume Trend Oscillator. Similar to OBV, except price is taken into account as well. Price Volume Trend Oscillator, log. Accumulation/Distribution. (close - low) - (high - close) / (high - low), then multiplied by volume Chaikin Money Flow . Very similar to accum/dist except it was already made into an oscillator. OBV just by itself. Change style to line for easier interpretation. Experimental function that utilizes a part of CCI This is the unedited "Variable Volume Oscillator v1" released for free use. In the time since I've created it, I've realized it's something I'd like to share because I like it and hope you will too.
Pine Script™ indicator
by NeoButane
9
High - Low Trend TunnelHigh - Low Trend Tunnel Experiment. Using latest pinescript Array support! Plotting Highest highs and Lowest lows for specific length (can be defined in settings). The blue line is whom determinate the direction. Blue line is the average of the highest highs and lowest lows smoothed by EMA. Green - Up Trending. Red - Down Trending. Yellow - Squeeze, a reversal might be coming. Any suggestions/comments are welcome as this is an experiment.
Pine Script™ indicator
by dman103
4
Rain On Me PRO 3/3This is the part 3 of Rain On Me PRO. It follow my two other indicators "Rain On Me" and "Rain On Me V2". This version is called "PRO" because it is less "user-friendly" than the two previous versions. But it is more faster, and cleaner than ever! This indicator is separated into 3 parts. You can find all parts into my profile in the « Scripts » section. Once the 3 parts together, the indicator is complete. Here are the features for this part: -MTF Fibonacci on 10 levels with level 0 in the middle and an "info panel" to indicate you the key levels. You can set an alert for each level cross. -MTF High/Low (Red dots is last low and green dots is last high). -Bollinger. -Ichimoku Cloud with baseline (red) and alerts (SenkouA and SenkouB Cross or Tenkan and Kijun Cross). Everything is fully customizable in settings. To place an alert, always choose the "Once per bar" option. Many functions are still to come. So don't hesitate to report bugs, suggestions and follow me to always be kept informed of the next updates to come! //ALWAYS DELETE INDICATOR AND ALERTS AND RESET THEM AFTER AN UPDATE! Thank again everyone for your support! A BIG THANKS TO QUANTNOMAD FOR GIVING ME ITS AUTHORIZATION TO USE, MODIFY AND REPUBLIC ITS "Ultimate Pivot Points Alerts" script indicator: Good trade everyone! And remember, money management is the most important!
Pine Script™ indicator
by RickSimpson
12
Rain On Me PRO 2/3This is the part 2 of Rain On Me PRO. It follow my two other indicators "Rain On Me" and "Rain On Me V2". This version is called "PRO" because it is less "user-friendly" than the two previous versions. But it is more faster, and cleaner than ever! This indicator is separated into 3 parts. You can find all parts into my profile in the « Scripts » section. Once the 3 parts together, the indicator is complete. Here are the features for this part: -Support/Resistance and Range lines (Red is Resistance, Yellow is Range, Green is Support). -MTF Trend Line following the trend with red color for bearish trend and green color for bullish trend (Based on volume so it work only where the volume information flux is available). -MTF Fractals with alerts. (Zigzag based on high and low). Everything is fully customizable in settings. To place an alert, always choose the "Once per bar" option. Many functions are still to come. So don't hesitate to report bugs, suggestions and follow me to always be kept informed of the next updates to come! //ALWAYS DELETE INDICATOR AND ALERTS AND RESET THEM AFTER AN UPDATE! Thank again for your support! Good trade everyone! And remember, money management is the most important!
Pine Script™ indicator
by RickSimpson
5
Fama-French 3 Factor ModelFama-French 3 Factor Model Extension of the Capital Asset Pricing Model (CAPM) CAPM Ra = Rfr + where, Ra = Return of the Asset Rfr = Risk-Free Rate βa = Beta Coefficient of the Asset Rm - Rfr = Market Risk Premium Fama-French 3 Factor r = rf + β1*(rm - rf) + β2(smh) +β3(hml) r = Expected rate of return rf = Risk-free rate ß = Factor’s coefficient (sensitivity) (rm – rf) = Market risk premium SMB (Small Minus Big) = Historic excess returns of small-cap companies over large-cap companies HML (High Minus Low) = Historic excess returns of value stocks (high book-to-price ratio) over growth stocks (low book-to-price ratio) Small is set to $EWSC Invesco S&P SmallCap 600® Equal Weight ETF Big is set to $EQLW Invesco S&P 100 Equal Weight ETF High is set to $IUSV iShares Core S&P US Value ETF Low is set to $IUSG iShares Core S&P US Growth ETF returns selections 'returns' 'logarithmic returns' (use for realized (historical) returns) 'geometric returns' (compounded returns) risk-free rate selections: $DTB3 $DGS2 $DGS5 $DGS10 $DGS30 tf = primary time-frame rtf = reference time-frame
Pine Script™ indicator
by luminaryfi
7
Kal's MTF OBV Haar Version 3Kal’s Multi-Time-Frame On-Balance-Volume Haar, also known as Kal’s MTF OBV Haar is a method/study for finding trending volume levels on stocks, indexes and cryptocurrencies using OBV, CMF and CCI over different time-frames (10Min, 1H, 4H, 1D, 1W, 1Month). Upon adding to the 10Min chart, the sample Image in Tradingview looks as follows: Note: Always check your time-frame(TF). Compare current TF to a row’s(bead row’s) time-frame. Ensure current TF is lower than a row’s time-frame when looking at it and higher time-frame rows above it. For instance, if you choose your chart’s time-frame at 1D, the lower time-frame rows(i.e. 10Min, 1H, 4H) don’t make sense. For cryptocurrencies, one week is 7 periods, two weeks is 14 periods For stocks, one week is 5 periods, two weeks is 10 periods For the study of stocks, I used 9-period EMA over OBV for time-frames (10Min, 1H, 4H, D) 4-period EMA over OBV for time-frames (W, M) For the study of cryptocurrencies, I would update EMAs as follows: 13-period EMA over OBV for time-frames (10Min, 1H, 4H, D) 6-period EMA over OBV for time-frames (W, M) These days I'm finding the following parameters have better fitting 19-period EMA over OBV for time-frames (10Min, 1H, 4H, D) 9-period EMA over OBV for time-frames (W, M) Description: --------------- In the study plot, the lowest row is 10Min, the row above 10Min is 1H, then 4H, then 1D, then 1W and the highest row is 1M Note: Always check your time-frame(TF). Compare current TF to a row’s(bead row’s) time-frame. Ensure current TF is lower than a row’s time-frame when looking at it and higher time-frame rows above it. For instance, if you choose your chart’s time-frame at 1D, the lower time-frame rows(i.e. 10Min, 1H, 4H) don’t make sense. Lime( Bright Green) dot implies Trending Uptrend for that time-frame Red dot implies Trending Downward for that time-frame It’s best to wait and research for possibility of Trend Reversal during the following dots/bricks: Silver dot implies indecisive up Orange dot implies indecisive downtrend Lime Brick implies CCI is near Zero line( between 15 and 0) Red Brick implies CCI is near Zero line( between -15 and 0) Purple dot implies CCI zero rejection to possibly/probably continue trend UP Yellow dot implies CCI zero rejection to possibly/probably continue trend Down Aqua dot implies that trend is overbought or oversold. This dot usually happens between red dots or green dots. Therefore, it’s best to wait for pull-back especially in lower time frames. Safe Trading! Kal Gandikota Legal Disclaimer: This script is published here so I get replies from fellow viewers to educate myself. Hence, if anyone uses this script for making their financial decisions, I am not responsible for any failures incurred. If you have questions or improvements related to this script, please feel free to leave comments and as time permits, will respond to those comments.
Pine Script™ indicator
by KalGandikota
1