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William's ProGo indicatorProGo, created by Larry William, (earlier than 2002), is a 2 line graph using daily data. 1. Professional Line (color orange) is a professional Accumulation/Distribution line is constructed by using the change from today's open to today's close. 2. The Public Line (color blue) is done by creating a public accumulation/distribution line that shows the change from yesterdays close to today's open. The graph is an index of the previous close to open +/- values (public) and then taking a 14 day average which is plotted against a 14 day average of the +/- values of the open to close(pro). Background color: Green colored area is where "pro" line crossover "amatuers" line, and the "pro" line is also positive. Created this for literature review.
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BillionaireLau tarafından
1
Combo Backtest 123 Reversal & Smoothed Williams ADThis is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy Accumulation is a term used to describe a market controlled by buyers; whereas distribution is defined by a market controlled by sellers. Williams recommends trading this indicator based on divergences: Distribution of the security is indicated when the security is making a new high and the A/D indicator is failing to make a new high. Sell. Accumulation of the security is indicated when the security is making a new low and the A/D indicator is failing to make a new low. Buy. WARNING: - For purpose educate only - This script to change bars colors.
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HPotter tarafından
5
Function Square WaveThis is a script to draw a square wave on the chart, with an indicator for current price. Markets undergoing Dow Jones or Wyckoff Accumulation/Distribution cycles tend to move in such waves, and if the period of the cycles are detected, a signal for accumulation/distribution phases can be created as an early warning. Useful inputs: - Average True Range as the wave height. - Assumed Wave period as the wave duration. I divided the current price wave by 2 to make the indicator more visually friendly. GLHF - DPT
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UnknownUnicorn1043646 tarafından
6
Combo Backtest 123 Reversal & Klinger Volume Oscillator This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning from prior research on volume by such well-known technicians as Joseph Granville, Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based indicator to help in both short- and long-term analysis. The KO was developed with two seemingly opposite goals in mind: to be sensitive enough to signal short-term tops and bottoms, yet accurate enough to reflect the long-term flow of money into and out of a security. The KO is based on the following tenets: Price range (i.e. High - Low) is a measure of movement and volume is the force behind the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when today's sum is greater than the previous day's. Conversely, distribution occurs when today's sum is less than the previous day's. When the sums are equal, the existing trend is maintained. Volume produces continuous intra-day changes in price reflecting buying and selling pressure. The KO quantifies the difference between the number of shares being accumulated and distributed each day as "volume force". A strong, rising volume force should accompany an uptrend and then gradually contract over time during the latter stages of the uptrend and the early stages of the following downtrend. This should be followed by a rising volume force reflecting some accumulation before a bottom develops. WARNING: - For purpose educate only - This script to change bars colors.
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HPotter tarafından
1
[blackcat] L2 Ehlers Phase Accumulator Cycle Period MeasurerLevel: 2 Background John F. Ehlers introuced Phase Accumulation technique of cycle period measurement in his "Rocket Science for Traders" chapter 7. It is perhaps the easiest to comprehend. In this technique, John Ehlers measures the phase at each sample by taking the arctangent of the ratio of the Quadrature component to the In-phase component. A delta phase is generated by taking the difference of the phase between successive samples. At each sample Dr. Ehlers then looks backward, adding up the delta phases. When the sum of the delta phases reaches 360 degrees (2*pi in tradingview), we must have passed through one full cycle, on average. The process is repeated for each new sample. Function blackcat L2 Ehlers Phase Accumulator Cycle Period Measurer is used to measure Dominant Cycle (DC). This is one of John Ehlers three major methods to measure DC. The Phase Accumulation method of cycle measurement always uses one full cycle’s worth of historical data. This is both an advantage and disadvantage. The advantage is the lag in obtaining the answer scales directly with the cycle period. That is, the measurement of a short cycle period has less lag than the measurement of a longer cycle period. However, the number of samples used in making the measurement means the averaging period is variable with cycle period. Longer averaging reduces the noise level compared to the signal. Therefore, shorter cycle periods necessarily have a higher output Signal-to-Noise Ratio (SNR). Key Signal Smooth --> 4 bar WMA w/ 1 bar lag Detrender --> The amplitude response of a minimum-length HT can be improved by adjusting the filter coefficients by trial and error. HT does not allow DC component at zero frequency for transformation. So, Detrender is used to remove DC component/ trend component. Q1 --> Quadrature phase signal I1 --> In-phase signal Period --> Dominant Cycle in bars Pros and Cons 100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style. Remarks The 2nd script for Blackcat1402 John F. Ehlers Week publication. Readme In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts. The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works. Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element. Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level. Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated. Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop. Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
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blackcat1402 tarafından
1
MACD-X, More Than MACD by DGTMoving Average Convergence Divergence – MACD The most popular indicator used in technical analysis, the moving average convergence divergence (MACD), created by Gerald Appel. MACD is a trend-following momentum indicator, designed to reveal changes in the strength, direction, momentum, and duration of a trend in a financial instrument’s price Historical evolution of MACD, - Gerald Appel created the MACD line, - Thomas Aspray added the histogram feature to MACD - Giorgos E. Siligardos created a leader of MACD MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum. Mathematically expressed as; macd = ma(source, fast_length) – ma(source, slow_length) signal = ma(macd, signal_length) histogram = macd – signal where exponential moving average (ema) is in common use as a moving average (ma) fast_length = 12 slow_length = 26 signal_length = 9 The MACD indicator is typically good for identifying three types of basic signals ; Signal Line Crossovers A Signal Line Crossover is the most common signal produced by the MACD. On the occasions where the MACD Line crosses above or below the Signal Line, that can signify a potentially strong move. The standard interpretation of such an event is a recommendation to buy if the MACD line crosses up through the Signal Line (a "bullish" crossover), or to sell if it crosses down through the Signal Line (a "bearish" crossover). These events are taken as indications that the trend in the financial instrument is about to accelerate in the direction of the crossover. Zero Line Crossovers Zero Line Crossovers occur when the MACD Line crossed the Zero Line and either becomes positive (above 0) or negative (below 0). A change from positive to negative MACD is interpreted as "bearish", and from negative to positive as "bullish". Zero crossovers provide evidence of a change in the direction of a trend but less confirmation of its momentum than a signal line crossover Divergence Divergence is another signal created by the MACD. Simply, divergence occurs when the MACD and actual price are not in agreement. A "positive divergence" or "bullish divergence" occurs when the price makes a new low but the MACD does not confirm with a new low of its own. A "negative divergence" or "bearish divergence" occurs when the price makes a new high but the MACD does not confirm with a new high of its own. A divergence with respect to price may occur on the MACD line and/or the MACD Histogram Moving Average Crossovers , another hidden signal that MACD Indicator identifies Many traders will watch for a short-term moving average to cross above a longer-term moving average and use this to signal increasing upward momentum. This bullish crossover suggests that the price has recently been rising at a faster rate than it has in the past, so it is a common technical buy sign. Conversely, a short-term moving average crossing below a longer-term average is used to illustrate that the asset's price has been moving downward at a faster rate and that it may be a good time to sell. Moving Average Crossovers in reality is Zero Line Crossovers, the value of the MACD indicator is equal to zero each time the two moving averages cross over each other. For easy interpretation by trades, Zero Line Crossovers are simply described as positive or negative MACD False signals Like any forecasting algorithm, the MACD can generate false signals. A false positive, for example, would be a bullish crossover followed by a sudden decline in a financial instrument. A false negative would be a situation where there is bearish crossover, yet the financial instrument accelerated suddenly upwards What is “MACD-X” and Why it is “More Than MACD” In its simples form, MACD-X implements variety of different calculation techniques applied to obtain MACD Line, ability to use of variety of different sources , including Volume related sources, and can be plotted along with MACD in the same window and all those features are available and presented within a single indicator, MACD-X Different calculation techniques lead to different values for MACD Line, as will further discuss below, and as a consequence the signal line and the histogram values will differentiate accordingly. Mathematical calculation of both signal line and the histogram remain the same. Main features of MACD-X ; 1- Introduces different proven techniques applied on MACD calculation , such as MACD-Histogram, MACD-Leader and MACD-Source, besides the traditional MACD (MACD-TRADITIONAL) • MACD-Traditional , by Gerald Appel It is the MACD that we know, stated as traditional just to avoid confusion with other techniques used with this study • MACD-Histogram , by Thomas Aspray The MACD-Histogram measures the distance between MACD and its signal line (the 9-day EMA of MACD). Aspray developed the MACD-Histogram to anticipate signal line crossovers in MACD. Because MACD uses moving averages and moving averages lag price, signal line crossovers can come late and affect the reward-to-risk ratio of a trade. Bullish or bearish divergences in the MACD-Histogram can alert chartists to an imminent signal line crossover in MACD The MACD-Histogram represents the difference between MACD and its 9-day EMA, the signal line. Mathematically, macdx = macd - ma(macd, signal_length) Aspray's contribution served as a way to anticipate (and therefore cut down on lag) possible MACD crossovers which are a fundamental part of the indicator. Here come a question, what if repeat the same calculations once more (macdh2 = macdh - ma(macdh, signal_length), will it be even better, this question will remain to be tested • MACD-Leader , by Giorgos E. Siligardos, PhD MACD Leader has the ability to lead MACD at critical situations. Almost all smoothing methods encounter in technical analysis are based on a relative-weighted sum of past prices, and the Leader is no exception. The concealed weights of MACD Leader are such that more relative weight is used in the more recent prices than the respective weights used by the components of MACD. In effect, the Leader expresses more changes in average price dynamics for the recent price movement than MACD, thus eventually leading MACD, especially when significant trend changes are about to take place. Siligardos creates two less-laggard moving averages indicators in its formula using the same periods as follows Indicator1 = ma(source, fast_length) + ma(source - ma(source, fast_length), fast_length) Indicator2 = ma(source, slow_length) + ma(source - ma(source, slow_length), slow_length) and then take the difference: Indicator1 - Indicator2 The result is a new MACD Leader indicator macdx = macd + ma(source - fast_ma, fast_length) - ma(source - slow_ma, slow_length) • MACD-Source , a custom experimental interpretation of mine , MACD Source, presents an application of MACD that evaluates Source/MA Ratio, relatively with less lag, as a basis for MACD Line, also can be expressed as source convergence/divergence to its moving average. Among the various techniques for removing the lag between price and moving average (MA) of the price, one in particular stands out: the addition to the moving average of a portion of the difference between the price and MA. MACD Source, is based on signal length mean of the difference between Source and average value of shot length and long length moving average of the source (Source/MA Ratio), where the source is actual value and hence no lag and relatively less lag with the average value of moving average of the source . Mathematically expressed as, macdx = ma(source - avg( ma(source, fast_length), ma(source, slow_length) ), signal_length) MACD Source provides relatively early crossovers comparing to MACD and better momentum direction indications, assuming the lengths are set to same values For further details, you are invited to check the following two studies, where the first seeds were sown of the MACD-Source idea Price Distance to its Moving Averages study, adapts the idea of “Prices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement", presented in an article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management First MACD like interpretation comes with the second study named as “ P-MACD ”, where P stands for price, P-MACD study attempts to display relationship between Price and its 20 and 200-period moving average. Calculations with P-MACD were based on price distance (convergence/divergence) to its 200-period moving average, and moving average convergence/divergence of 20-period moving average to 200-period moving average of price. Now as explained above, MACD Source is a one adapted with traditional MACD, where Source stands for Price, Volume Indicator etc, any source applicable with MACD concept 2- Allows usage of variety of different sources, including Volume related indicators The most common usage of Source for MACD calculation is close value of the financial instruments price. As an experimental approach, this study will allow source to be selected as one of the following series; • Current Close Price (close) • Average of High, Low, and Close Price (hlc3) • On Balance Volume (obv) • Accumulation Distribution (accdist) • Price Volume Trend (pvt) Where, -Current Close Price and Average of High, Low, and Close Price are price actions of the financial instrument - Accumulation Distribution is a volume based indicator designed to measure underlying supply and demand - On Balance Volume (OBV) , is a momentum indicator that measures positive and negative volume flow - Price Volume Trend (PVT) is a momentum based indicator used to measure money flow 3- Can be plotted along with MACD in the same window using the same scaling Default setting of MACD-X will display MACD-Source with Current Close Price as a source and traditional MACD can be plotted eighter as a companion of MACD-X or can be selected to be plotted alone. Applying both will add ability to compare, or use as a confirmation of one other In case, traditional MACD Is plotted along with MACD-X to avoid misinterpreting, the lines plotted, the area between MACD-X Line and Signal-X Line is highlighted automatically, even if the highlight option not selected. Otherwise highlight will be applied only if that option selected 4- 4C Histogram Histogram is plotted with four colors to emphasize the momentum and direction 5- Customizable Additional to ability of selecting Calculation Method, Source, plotting along with MACD, there are few other option that allows users to customize the MACD-X indicator Lengths are configurable, default values are set as 12, 26, 9 respectively for fast, slow and smoothing length. Setting lengths to 8,21,5 respectively Is worth checking, slower length moving averages will lead to less lag and earlier reaction to price actions but yet requires a caution and back testing before applying Highlight the area between MACD-X Line and Signal-X Line, with colors emphasising the direction Label can be added to display Calculation Method, Source and Length settings, the aim of this label is to server only as a reminder to trades to be aware of settings while they are occupied with charts, analysis etc. Here comes another question, which is of more importance having the reminder or having the indicators with multi timeframe feature? Build-in Multi Time Frame features of Pine is not supported when labels and lines introduced in the script, there are other methods but brings complexity. To be studied further, this version will be with labels for time being. Epilogue MACD-X is an alternative variant of MACD, the insight/signals provided by MACD are also applicable to MACD-X with early and clear warnings for the changes in the trend. If MACD is essential to your analysis, then it is my guess that after using the MACD-X for a while and familiarizing yourself with its unique character and personality, you will make it an inseparable companion to other indicators in your charts. The various signals generated by MACD/MACD-X are easily interpreted and very few indicators in technical analysis have proved to be more reliable than the MACD, and this relatively simple indicator can quickly be incorporated into any short-term trading strategy Disclaimer : Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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dgtrd tarafından
158
RedK_Supply/Demand Volume Viewer v1Background ============ VolumeViewer is a volume indicator, that offers a simple way to estimate the movement and balance (or lack of) of supply & demand volume based on the shape of the price bar. i put this together few years ago and i have a version of this published for another platform under different names (Directional Volume, BetterVolume) in case you come across them what is V.Viewer ===================== The idea here is to find a "simple proxy" for estimating the demand or supply portions of a volume bar - these 2 forces have the potential to affect the current price trend so we want an easy way to track them - or to understand if a stock is in accumulation or distribution - we want to do this without having access to Level II or bid/ask data, and without having to get into the complexity of exploring the lower timeframe price & volume data - to achieve that, we depend on a simple assumption, that the volume associated with an up move is "demand" and the volume associated with a down move is "Supply". so we basically extrapolate these supply and demand values based on how the bar looks like - a full "green" price bar / candle will be considered 100% demand, and a full "red" price bar will be considered 100% supply - a bar that opens and closes at the same level will be 50/50 split between supply & demand. - you may say this is a "too simple" of an assumption to make, but believe me, it works :) at least at the basic scenario we need here: i'm just exploring the volume movement and finding key levels - and it provides a good improvement compared to the classic way we see volume on a chart - which is still available here in VolumeViewer. in all cases, i consider this to be work in progress, so i'd welcome any ideas to improve (without getting too complicated) - there's already a host of great volume-based indicators that will do the multi timeframe drill down, but that's not my scope here. Technical Jargon & calculation =========================== 1. first we calculate a score % for the volume portion that is considered demand based on the bar shape skip this part if it sounds too technical => if you're into coding indicators, you would probably know there are couple of different concepts for that algorithm - for example, the one used in Balance Of Power formula - which i'm a big fan of - but the one i use here is different. (how?) this is my own, ant it simply applies double weight for the "wick" parts of a price bar compared to the "body of the bar" -- i did some side-by-side comparison in past and decided this one works better. you can change it in the code if you like 2. after calculating the Bull vs Bears portion of volume, we take a moving average of both for the length you set, to come up with what we consider to be the Demand vs Supply - as usual, i use a weighted moving average (WMA) here. 3. the balance or net volume between these 2 lines is calculated, then we apply a final smoothing and that's the main plot we will get 4. being a very visual person, i did my best to build up the visuals in the correct order - then also to ensure the "study title" bar is properly organized and is simple and useful (Full Volume, Supply, Demand, Net Volume). - i wish there was a way in Pine to hide a value that i still need to visually plot but don't want it showing its value on the study title bar, but couldn't find it. so the last plot value is repeated twice. How to use =========== - V.Viewer is set up to show the simplified view by default for simplicity. so when you first add it to a chart, you will get only the supply vs demand view you can see in the middle pane in the above chart - Optional / detailed mode: go into the settings, and expose all other plots, you will be able to add the classic volume histogram, and the Supply / Demand lines - note these 2 lines will be overlay-ed on top of each other - this provides an easy way to see who is in control - especially if you change the display of these 2 lines into "area" style. This is what is showing in the lower pane in the above chart. ** Exploring Key Price Levels - the premise is, at spots where there's big lack of balance, that's where to expect to find key price levels (support / resistance) and these price levels will come into play in future so can be used to set entry / exit targets for our trades - see the example in the AAPL chart where you can easily locate these "balance or reversal levels" using the tops/bottoms/zero-crossings from the Net Volume line ** Use for longer-term Price Analysis - we can also use this simple indicator to gain more insights (at a high level) of the price in terms of accumulation vs distribution and if the sellers or buyers are in control - for example, in the above AAPL chart, V.Viewer tells us that buyers have been in control since October 19 - even during the recent drop, demand continued to be in play - compare that to DIS chart below for the same period, where it shows that the market was dumping DIS thru the weakness. DIS was bleeding red most of the time Final thoughts ============= - V.Viewer is an attempt to enhance the way we see and use Volume by leveraging the shape of the price bar to estimate volume supply & demand - and the Net between the 2 - it will work for stocks and other instruments as long as there's volume data - note that V.Viewer does not track trend. each bar is taken in isolation of prior bars - the price may be going down and V.Viewer is showing supply going up (absorption scenario?) - so i suggest you do not use it to make decisions without consulting other trend / momentum indicators - of course this is a possible improvement idea, or can be implemented in another indicator, add in trend somehow, or maybe think of making this a +100 / -100 Oscillator .. feel free to play with these thoughts - all thoughts welcome - if this is useful to you in your trading, please share with other trades here to learn from each other - the code is commented - please feel free to use it as you like, or build things on top of it - but please continue to credit the author of this code :) good luck! -
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RedKTrader tarafından
44
MCI and VCI - Modified CCI FormulasFor private peeps only - Takes a modified version of the CCI formula into 2 parts VCI - Volume Channel Index (Yellow Histogram) - Measures accurate accumulation and distribution levels and times MCI - Modified Channel Index - Measures (when compared to VCI) levels where clearly buys are interested vs not interested. Example: If VCI > MCI - Shows buyer's are more than interested in buying, you've either hit a bottom or heavy resistance if MCI > VCI - Show's buyer's aren't interested and will most likely result in a dump/lower price Great for monitoring accumulation and distribution, these auto buy and sells look for the transition points over 0, works on EVERY commodity/stock/FOREX/Crypto Results are from trading 1 BTC x25 leveraging. Not all trades will get in if put in at limit, but it does survive with profits after the massive 0.075 fee (results shown are after fees)
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ericisom887 tarafından
2
Chaikin MF% (CMFP) w. Alerts, Bells & Whistles [LucF]This is Chaikin’s Money Flow indicator on a 0-100 scale with buy/sell signals, alerts and other bells & whistles. It includes: - a fast EMA (16 periods by default), - a slow MA (64 periods by default), - histograms, - 3 different sorts of crosses, - big swings identification, - buy/sell signals on CMFP crossing back from outside user-defined levels, - buy/sell signals on the slow MA pivots above/below user-defined levels, - alerts on big swings and buy/sells. This indicator started with @LazyBear code (VAPI) at: @cI8DH then changed the scale to 0-100, which I find very useful: I then added the rest. The chart above shows both clean and busy versions of the indicator. Note that the default length is 10 rather than the commonly used 20. I use CMFP in conjunction with VFI and like the fact that it is faster than VFI. The default inputs show the way I normally use this indicator, with the slow MA shown in histogram mode. I find it gives good context to the signal line. Crosses between the two are often useful. The buy/sell signals aren’t the main attraction of this indicator, and nothing to write home about. Like the big swing markers, I think it’s more realistic to view them as pointers to potentially interesting areas on charts. Their nature makes them more suited to identifying reversals. They certainly aren’t reliable enough to turn this study into a strategy and I normally don’t use them. The levels pre-defined for the buy/sell signals on CMFP are most useful on short intervals. The buy/sell signals on the slow MA pivots work on a more complete range of intervals. Optimization for your specific instruments and intervals will improve their reliability. As usual when defining alerts, be sure you already have defined proper inputs and that you are on the intended interval, as they will be used when triggering alerts.
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LucF tarafından
Klinger Volume Oscillator (KVO) Backtest The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning from prior research on volume by such well-known technicians as Joseph Granville, Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based indicator to help in both short- and long-term analysis. The KO was developed with two seemingly opposite goals in mind: to be sensitive enough to signal short-term tops and bottoms, yet accurate enough to reflect the long-term flow of money into and out of a security. The KO is based on the following tenets: Price range (i.e. High - Low) is a measure of movement and volume is the force behind the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when today's sum is greater than the previous day's. Conversely, distribution occurs when today's sum is less than the previous day's. When the sums are equal, the existing trend is maintained. Volume produces continuous intra-day changes in price reflecting buying and selling pressure. The KO quantifies the difference between the number of shares being accumulated and distributed each day as "volume force". A strong, rising volume force should accompany an uptrend and then gradually contract over time during the latter stages of the uptrend and the early stages of the following downtrend. This should be followed by a rising volume force reflecting some accumulation before a bottom develops. You can change long to short in the Input Settings Please, use it only for learning or paper trading.
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HPotter tarafından
3
Klinger Volume Oscillator (KVO) Strategy The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning from prior research on volume by such well-known technicians as Joseph Granville, Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based indicator to help in both short- and long-term analysis. The KO was developed with two seemingly opposite goals in mind: to be sensitive enough to signal short-term tops and bottoms, yet accurate enough to reflect the long-term flow of money into and out of a security. The KO is based on the following tenets: Price range (i.e. High - Low) is a measure of movement and volume is the force behind the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when today's sum is greater than the previous day's. Conversely, distribution occurs when today's sum is less than the previous day's. When the sums are equal, the existing trend is maintained. Volume produces continuous intra-day changes in price reflecting buying and selling pressure. The KO quantifies the difference between the number of shares being accumulated and distributed each day as "volume force". A strong, rising volume force should accompany an uptrend and then gradually contract over time during the latter stages of the uptrend and the early stages of the following downtrend. This should be followed by a rising volume force reflecting some accumulation before a bottom develops. WARNING: This script to change bars colors.
Pine Script® göstergesi
HPotter tarafından
Flow & Analytics (Normalized)Flow & Analytics (Normalized) A multi‐metric lower‐pane indicator that condenses volume imbalances and flow dynamics into four normalized measures—Δ %, Ratio, Z-Score, and Cumulative Δ—plus optional buy/sell “flow” bars. All series are scaled to –1…+1 for direct comparison. How to Add & Configure Add the script to your chart (overlay = false). In Settings → Inputs, toggle on/off the four metrics and the background flow bars. Adjust look-back windows: Flow Lookback controls how much history the bars normalize over. Z Window sets the period for the Z-Score’s mean/standard deviation. Cum Δ Lookback determines how reactive the cumulative Δ line is. Choose colors, line widths, and opacity to match your style. Reading the Metrics Flow Bars (teal/green & red overlay): Plotted as vertical columns from –1…+1, they show buy vs. sell pressure each bar. The taller bar is drawn behind, the shorter in front—so you always see both sides of the fight. Use: Quickly spot bars where one side dominates (e.g. an all-green or all-red bar). Δ % (orange line, thick): ( B u y s − S e l l s ) / ( B u y s + S e l l s ) (Buys−Sells)/(Buys+Sells). Measures net imbalance as a percentage of total flow. Crosses of 0 indicate a shift from selling to buying pressure (or vice versa). Values near ±1 reveal nearly pure one-sided flow. Ratio (purple dashed): Defined as ( B / S − 1 ) / ( B / S + 1 ) (B/S−1)/(B/S+1), which algebraically equals Δ %. Plotted separately so you can style or overlay it for confirmation. Note: It will track exactly on top of Δ %, so if you need a distinct signal consider replacing it with a “raw” B/S ratio or a different transform. Z-Score (yellow): Standardizes the bar’s raw Δ ( B − S B−S) versus its recent mean/σ over Z Window. Caps at ±Z Cap Threshold, then scales back to ±1. Highlights bars that are unusually imbalanced compared to recent history. Bar-coloring marks extreme |Z| > 1 in solid yellow. Cumulative Δ (teal): A running sum of bar-by-bar Δ, normalized to its peak absolute over Cum Δ Lookback. Tracks whether buying or selling has been dominant over the last N bars. Values above zero show net buying accumulation; values below, net selling. Putting It All Together Trend Entry/Exit A sustained positive Cum Δ plus repeated high-Z bars confirms institutional buying. Conversely, negative Cum Δ with extreme Z down-bars signals strong selling. Divergence When price makes new highs but Δ % or Cum Δ fails to follow, suspect weakening momentum. A Z-Score peak without corresponding price movement often precedes reversals. Micro-structure Single-bar Flow Bars show quick supply/demand switches. Use the opacity controls to “ghost” the losing side behind the winner—ideal for scalping or order-flow analysis. Pro Tips Align Look-back Windows with your chart timeframe (e.g. 20–50 bars on a 1 min chart). Combine with price support/resistance zones: an extreme Z-Score at a pivot often marks a high-probability turn. Customize the Ratio plot to raw buy/sell ratio if you need a different sensitivity curve. Use this tool as a real-time “flow compass”—it blends volume, imbalance, and statistical context into one clean pane, helping you spot when buying or selling truly takes over.
Pine Script® göstergesi
donavancsmith10 tarafından
Spaghetti 2.0 - Multi-Asset Performance [By Barbell_Fi]This is an updated and more opinionated take on the original Spaghetti indicator. Multi Asset Performance indicator (also called “Spaghetti”) makes it easy to monitor the changes in Price, Open Interest, and On Balance Volume across multiple assets simultaneously, distinguish assets that are overperforming or underperforming, observe the relative strength of different assets or currencies, use it as a tool for identifying mean reversion opportunities and even for constructing pairs trading strategies, detect "risk-on" or "risk-off" periods, evaluate statistical relationships between assets through metrics like correlation and beta, construct hedging strategies, trade rotations and much more. Start by selecting a time period (e.g., 1 DAY) to set the interval for when data is reset. This will provide insight into how price, open interest, and on-balance volume change over your chosen period. In the settings, asset selection is fully customizable, allowing you to create three groups of up to 30 tickers each. These tickers can be displayed in a variety of styles and colors. Additional script settings offer a range of options, including smoothing values with a Simple Moving Average (SMA), highlighting the top or bottom performers, plotting the group mean, applying heatmap/gradient coloring, generating a table with calculations like beta, correlation, and RSI, creating a profile to show asset distribution around the mean, and much more. One of the most important script tools is the screener table, which can display: 🔸 Percentage Change (Represents the return or the percentage increase or decrease in Price/OI/OBV over the current selected period) 🔸 Beta (Represents the sensitivity or responsiveness of asset's returns to the returns of a benchmark/mean. A beta of 1 means the asset moves in tandem with the market. A beta greater than 1 indicates the asset is more volatile than the market, while a beta less than 1 indicates the asset is less volatile. For example, a beta of 1.5 means the asset typically moves 150% as much as the benchmark. If the benchmark goes up 1%, the asset is expected to go up 1.5%, and vice versa.) 🔸 Correlation (Describes the strength and direction of a linear relationship between the asset and the mean. Correlation coefficients range from -1 to +1. A correlation of +1 means that two variables are perfectly positively correlated; as one goes up, the other will go up in exact proportion. A correlation of -1 means they are perfectly negatively correlated; as one goes up, the other will go down in exact proportion. A correlation of 0 means that there is no linear relationship between the variables. For example, a correlation of 0.5 between Asset A and Asset B would suggest that when Asset A moves, Asset B tends to move in the same direction, but not perfectly in tandem.) 🔸 RSI (Measures the speed and change of price movements and is used to identify overbought or oversold conditions of each asset. The RSI ranges from 0 to 100 and is typically used with a time period of 14. Generally, an RSI above 70 indicates that an asset may be overbought, while RSI below 30 signals that an asset may be oversold.) ⚙️ Settings Overview: ◽️ Period Periodic inputs (e.g. daily, monthly, etc.) determine when the values are reset to zero and begin accumulating again until the period is over. This visualizes the net change in the data over each period. The input "Visible Range" is auto-adjustable as it starts the accumulation at the leftmost bar on your chart, displaying the net change in your chart's visible range. There's also the "Timestamp" option, which allows you to select a specific point in time from where the values are accumulated. The timestamp anchor can be dragged to a desired bar via Tradingview's interactive option. Timestamp is particularly useful when looking for outperformers/underperformers after a market-wide move. The input positioned next to the period selection determines the timeframe on which the data is based. It's best to leave it at default (Chart Timeframe) unless you want to check the higher timeframe structure of the data. ◽️ Data The first input in this section determines the data that will be displayed. You can choose between Price, OI, and OBV. The second input lets you select which one out of the three asset groups should be displayed. The symbols in the asset group can be modified in the bottom section of the indicator settings. ◽️ Appearance You can choose to plot the data in the form of lines, circles, areas, and columns. The colors can be selected by choosing one of the six pre-prepared color palettes. ◽️ Labeling This input allows you to show/hide the labels and select their appearance and size. You can choose between Label (colored pointed label), Label and Line (colored pointed label with a line that connects it to the plot), or Text Label (colored text). ◽️ Smoothing If selected, this option will smooth the values using a Simple Moving Average (SMA) with a custom length. This is used to reduce noise and improve the visibility of plotted data. ◽️ Highlight If selected, this option will highlight the top and bottom N (custom number) plots, while shading the others. This makes the symbols with extreme values stand out from the rest. ◽️ Group Mean This input allows you to select the data that will be considered as the group mean. You can choose between Group Average (the average value of all assets in the group) or First Ticker (the value of the ticker that is positioned first on the group's list). The mean is then used in calculations such as correlation (as the second variable) and beta (as a benchmark). You can also choose to plot the mean by clicking on the checkbox. ◽️ Profile If selected, the script will generate a vertical volume profile-like display with 10 zones/nodes, visualizing the distribution of assets below and above the mean. This makes it easy to see how many or what percentage of assets are outperforming or underperforming the mean. ◽️ Gradient If selected, this option will color the plots with a gradient based on the proximity of the value to the upper extreme, zero, and lower extreme. ◽️ Table This section includes several settings for the table's appearance and the data displayed in it. The "Reference Length" input determines the number of bars back that are used for calculating correlation and beta, while "RSI Length" determines the length used for calculating the Relative Strength Index. You can choose the data that should be displayed in the table by using the checkboxes. ◽️ Asset Groups This section allows you to modify the symbols that have been selected to be a part of the 3 asset groups. If you want to change a symbol, you can simply click on the field and type the ticker of another one. You can also show/hide a specific asset by using the checkbox next to the field.
Pine Script® göstergesi
barbell_fi tarafından
BK AK-SILENCER🔊 BK AK-SILENCER Volume Footprint Overlay | CVD Divergence | VWAP Sync | Extreme Volume Alerts 🧠 Introduction With discipline and humility, I present the BK AK-SILENCER — a tactical overlay tool built for real-time bar decoding, smart divergence detection, and stealth-level volume aggression tracking. This indicator is one half of a two-system stealth engine — the other being BK AK-SILENCER (P8N) — together forming a fully integrated divergence and structure-mapping weapon. 🔫 The Meaning Behind “SILENCER” Just like a true silencer functions — quiet, deadly, and undetected — this tool operates beneath the surface, filtering out noise and revealing the real power behind the candles. Institutions move in silence. They don’t chase price. They build, shift, load, and unload with surgical stealth. This tool is designed to catch the footprints of giants — to detect where volume spikes silently, where divergence whispers truth, and where smart money leaves behind subtle clues. The initials “AK” honor my mentor — the man who taught me to trade with purpose, clarity, and discipline. This tool is part of his legacy. ⚙️ What It Does ✅ Volume Bar Coloring Reveals bullish, bearish, and neutral aggression with real-time coloring — based on spike logic, closing strength, and volatility-adjusted thresholds. ✅ CVD Divergence Detection Automatically detects price vs volume divergence using pivot logic — mapped clearly with visual markers. ✅ Extreme Volume ‘$’ Alerts When volume goes silent, this system waits. But when volume spikes abnormally — it marks it. ✅ VWAP Overlay Anchored VWAP to sync trades with liquidity zones and institutional behavior. 🎯 How to Use It Bullish divergence + accumulation color = sniper long entry. Bearish divergence + weakness color = fade or reversal opportunity. Extreme volume spike + structure = momentum entry or exit zone. Use with BK AK-SILENCER (P8N) for complete stealth confirmation. 💡 Perfect For Breakout traders confirming momentum with smart volume Swing traders aligning VWAP and aggression Mean-reversion setups catching divergence extremes Gann, Elliott, Harmonic traders syncing pattern + pressure 🔧 Customize It. Share It. Grow It. This isn’t a one-size-fits-all tool. Your timeframe, instrument, and rhythm are yours. Play with the settings. Tune them to your strategy. 🛠️ Experiment with volume thresholds, pivot lookbacks, and spike logic. 💬 Then share your results in the comments — help someone sharpen their edge. This is a community for precision traders. If this helped you — leave something behind for the next sniper. 🔗 Works Best With ➡️ BK AK-SILENCER (P8N) A standalone CVD panel with volatility bands, dynamic flash alerts, and divergence recognition. Together, they form a complete silent detection system. Radar + Scope. 🙏 A Final Word: Pay It Forward This tool exists because someone once taught me — with time, patience, and love. If it brings you clarity or consistency: 🔹 Share a chart 🔹 Answer a question 🔹 Drop your best settings 🔹 Help someone who's learning We rise by lifting others. And we build true edge by honoring those who helped us build ours. Above all — praise to Gd, who gives structure to chaos and wisdom to those who ask. — Stay calm. Stay silent. Stay precise. 💥 BK AK-SILENCER — Locked. Zeroed. Silent. Gd bless. 🙏
Pine Script® göstergesi
Ki11a_B tarafından
SOT & SA Detector ProSOT & SA Detector Pro- Advanced Reversal Pattern Recognition OVERVIEW The SOT & SA Detector is an educational indicator designed to identify potential market reversal points through systematic analysis of candlestick patterns, volume confirmation, and price wave structures. SOT (Shorting of Thrust) signals suggest potential bearish reversals after upward price movements, while SA (Selling Accumulation) signals indicate possible bullish reversals following downward trends. This tool helps traders recognize key market transition points by combining multiple technical criteria for enhanced signal reliability. ═══════════════════════════════════════════════════════════════ HOW IT WORKS Technical Methodology The indicator employs a multi-factor analysis approach that evaluates: Wave Structure Analysis: Identifies minimum 2-bar directional waves (upward for SOT, downward for SA) Price Delta Validation: Ensures closing price changes remain within specified percentage thresholds (default 0.3%) best 0.1. Candlestick Tail Analysis: Measures rejection wicks using configurable tail multipliers Volume Confirmation: Requires increased volume compared to previous periods Pattern Confirmation: Validates signals through subsequent price action Signal Generation Process Pattern Recognition: Scans for qualifying candlestick formations with appropriate tail characteristics Volume Verification: Confirms patterns with volume expansion using adjustable multiplier Price Confirmation: Validates signals when price breaks and closes beyond pattern extremes Signal Display: Places labeled markers and draws horizontal reference levels Mathematical Foundation Delta calculation: math.abs(close - close ) / close <= deltaPercent / 100 Tail analysis: (high - close ) >= tailMultiplier * (close - low ) for SOT Volume filter: volume >= volume * volumeFactor ═══════════════════════════════════════════════════════════════ KEY FEATURES Dual Pattern Recognition: Identifies both bullish (SA) and bearish (SOT) reversal candidates Volume Integration: Incorporates volume analysis for enhanced signal validation Customizable Parameters: Adjustable wave length, delta percentage, tail multiplier, and volume factor Visual Clarity: Color-coded bar highlighting, labeled signals, and horizontal reference levels Time-Based Filtering: Configurable analysis period to focus on recent market activity Non-Repainting Signals: Confirmed signals remain stable and do not change with new price data Alert System: Built-in notifications for both initial signals and subsequent confirmations ═══════════════════════════════════════════════════════════════ HOW TO USE Signal Interpretation Red SOT Labels: Appear above potential bearish reversal candles with downward-pointing markers Green SA Labels: Display below potential bullish reversal candles with upward-pointing markers Horizontal Lines: Extend from signal levels to provide ongoing reference points Bar Coloring: Highlights qualifying pattern candles for visual emphasis Trading Application This indicator serves as an educational tool for pattern recognition and should be used in conjunction with additional analysis methods. Consider SOT signals as potential areas of selling pressure following upward moves, while SA signals may indicate buying interest after downward price action. Best Practices Combine with trend analysis and support/resistance levels Consider overall market context and timeframe alignment Use proper risk management techniques Validate signals with additional technical indicators ═══════════════════════════════════════════════════════════════ SETTINGS Analysis Days (Default: 20) Controls the lookback period for signal detection. Higher values extend historical analysis while lower values focus on recent activity. Minimum Bars in Wave (Default: 2) Sets the minimum consecutive bars required to establish directional wave patterns. Increase for stronger trend confirmation. Max Close Change % (Default: 0.3) best 0.1. Defines acceptable closing price variation between consecutive bars. Lower values require tighter price consolidation. Tail Multiplier (Default: 1.0) best 1.5 or more. Adjusts sensitivity for candlestick tail analysis. Higher values require more pronounced rejection wicks. Volume Factor (Default: 1.0) Sets volume expansion threshold compared to previous period. Values above 1.0 require volume increases. ═══════════════════════════════════════════════════════════════ LIMITATIONS Market Conditions May produce false signals in highly volatile or low-volume conditions Effectiveness varies across different market environments and timeframes Requires sufficient volume data for optimal performance Signal Timing Signals appear after pattern completion, not in real-time during formation Confirmation signals depend on subsequent price action Historical signals do not guarantee future market behavior Technical Constraints Limited to analyzing price and volume data only Does not incorporate fundamental analysis or external market factors Performance may vary significantly across different trading instruments ═══════════════════════════════════════════════════════════════ IMPORTANT DISCLAIMERS This indicator is designed for educational purposes and technical analysis learning. It does not constitute financial advice, investment recommendations, or trading signals. Past performance does not guarantee future results. Trading involves substantial risk of loss, and this tool should be used alongside proper risk management techniques and additional analysis methods. Always conduct thorough analysis using multiple indicators and consider market context before making trading decisions. The SOT & SA patterns represent potential reversal points but do not guarantee price direction changes. ═══════════════════════════════════════════════════════════════ Credits: Original concept and Pine Script implementation by Everyday_Trader_X Version: Pine Script v6 compatible Category: Technical Analysis / Reversal Detection Overlay: Yes (displays on price chart)
Pine Script® göstergesi
Everyday_Trader_X tarafından
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032 This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength. Features: OBV-based trend tracking Optional smoothing: SMA, EMA, RMA, WMA, VWMA Optional Bollinger Bands with SMA Potential Combinations and Trading Strategies: Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend. Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal. Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal. 1. On-Balance Volume (OBV): Purpose: OBV is a momentum indicator that uses volume flow to predict price movements. Calculation: Volume is added on up days and subtracted on down days. Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices. Divergence: Divergence between OBV and price can signal potential trend reversals. 2. Moving Average (MA): Purpose: Moving Averages smooth price fluctuations and help identify trends. Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation. 3. Bollinger Bands (BB): Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals. Structure: They consist of a moving average (typically 20-period) and two standard deviation bands. Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal. Created by: Marius1032
Pine Script® göstergesi
Marius1032 tarafından
Price-Volume Divergence (YY+GY)📊 **Price-Volume Divergence Tool (False & Hidden Rally)** by Tungaer_as This open-source indicator detects two types of volume-price divergences: 🔴 **False Rally (YY)** Occurs when price increases while volume decreases. This signals weak buyer pressure and may precede a local top or distribution phase. 🟢 **Hidden Rally (GY / Capitulation)** Occurs when price decreases while volume increases. This suggests potential smart money accumulation and may precede a price reversal. --- ### 🔧 How it works: The indicator compares: - Price direction (up/down) - Volume trend (rising/falling) - RSI values (customizable) - EMA filter (trend direction) - PVT (Price Volume Trend) for volume momentum - Optional candle-based confirmation over multiple bars All filters and thresholds are fully customizable from the settings menu. --- ### ✅ Key Features: - False Rally + Hidden Rally detection - Optional confirmation candles (1–5) - Toggleable filters: RSI, EMA, PVT - Cumulative PVT-based filtering - Background color zones for clarity - Built entirely in Pine Script v5 --- 🟢 Open-source | Developed with GPT-4 assistance 👤 By Tungaer_as ⚠️ **Disclaimer:** This script is for educational purposes only and does not provide financial advice. Always do your own research before making trading decisions. **Fiyat-Hacim Uyumsuzluk Göstergesi (Yalancı + Gizli Yükseliş)** tasarım: Tungaer_as Bu gösterge, fiyat-hacim ilişkisine dayalı iki güçlü dönüş formasyonunu tespit eder: 🔴 **Yalancı Yükseliş (YY)** Fiyat artarken hacmin düşmesi → Alıcı zayıflığı veya yükseliş tuzağı sinyali olabilir 🟢 **Gizli Yükseliş (GY)** Fiyat düşerken hacmin artması → Kurumsal birikim ya da dönüş hazırlığı göstergesi olabilir --- ✨ **Temel Özellikler** - ✅ RSI ve EMA filtreleri - ✅ PVT (Fiyat Hacim Eğilimi) ile hacim yönü teyidi - ✅ Opsiyonel teyit mum filtresi (1–5 mum) - ✅ Görsel uyarı için arka plan renklendirme - ✅ Tamamen özelleştirilebilir eşik değerleri - ✅ Tüm filtreler bağımsız olarak açılıp kapatılabilir --- 🚀 **Neden Farklı?** TradingView üzerindeki tipik uyumsuzluk göstergelerinden farklı olarak, bu araç **hem yalancı hem gizli yükselişi birlikte** işler. Ayrıca **PVT tabanlı hacim eğilimi filtresi** ve **kullanıcı kontrollü teyit sistemleri** ile daha sağlam sinyal üretir. --- 🟢 Açık kaynaklıdır | GPT-4 yardımıyla geliştirilmiştir 👤 Tungaer_as tarafından tasarlanmıştır ⚠️ **Yasal Uyarı** Bu gösterge yalnızca eğitim ve bilgilendirme amaçlıdır. Hiçbir yatırım tavsiyesi ya da garantili sinyal içermez. Yatırım kararı almadan önce kendi analizlerinizi mutlaka yapınız.
Pine Script® göstergesi
Tungaer_as tarafından
20 MA with ATRThis indicator overlays a Moving Average (SMA or EMA) on the chart, along with dynamic upper and lower bands based on the Average True Range (ATR). It's designed to help you track long-term trend direction and volatility zones with clarity — ideal for monthly or higher timeframe analysis. What It Does ? Plots a Simple or Exponential Moving Average (MA) of a chosen price (default is Low). Adds two dynamic bands: Upper Band = MA + ATR Lower Band = MA - ATR Uses ATR (Average True Range) to represent market volatility and distance from the moving average. Why Use This? This indicator blends trend and volatility awareness into a single view: Use the MA as a long-term trend guide. Use the ATR bands to identify: Potential buy zones near lower band during uptrends. Caution zones near upper band where price may be extended. On monthly charts, this helps long-term investors spot deep-value or extended price levels based on both trend and volatility. Customizable Inputs MA Type: SMA or EMA MA Length: Default is 20 periods (great for monthly swing cycles) ATR Length: Default is 14 (standard volatility window) Input Source: Use Low, Close, or any price point for flexibility Suggested Use (Monthly Charts) Track when price pulls back toward the lower ATR band for potential accumulation zones. Monitor breakouts above the upper ATR band as signs of momentum continuation. Spot trend exhaustion when price hugs an ATR band for too long. Ideal For: Long-term investors and swing traders Value buyers looking for low-risk re-entries in trends Portfolio positioning during market extremes
Pine Script® göstergesi
BhabaniMohapatra tarafından
Chaikin Bull-Power OscillatorThis indicator is given with much love and care to the community to help you in your trading operations. How to use the "Chaikin-Bull-PW" Indicator The Chaikin-Bull-PW is an oscillator based on the Accumulation/Distribution (AD) line smoothed by different methods, called here the "Hull Chaikin Oscillator." It compares two smoothed averages of the AD line — a short period and a long period — to indicate the strength and direction of buying and selling pressure in the market. Adjustable Parameters: Short Period: Number of bars used to calculate the short smoothed average of the AD line. Shorter periods make the indicator more sensitive. Long Period: Number of bars used to calculate the long smoothed average of the AD line. Longer periods smooth the indicator more. Background Offset: Controls the offset of the chart’s background color. Smoothing Type: Choose the smoothing method for the AD line among HMA, SMA, SMMA, EMA, WMA, and JMA. This affects how the averages are calculated and how the oscillator responds to price. Indicator Interpretation: The oscillator is the difference between the short and long smoothed averages of the AD line. When the oscillator is above zero (green), it indicates increasing buying pressure, suggesting an uptrend. When the oscillator is below zero (red), it indicates increasing selling pressure, suggesting a downtrend. The zero line acts as a reference for trend changes. Usage Suggestions: Use the oscillator crossing the zero line to identify potential entry or exit points. Combine with other indicators or chart analysis to confirm signals. Adjust the periods and smoothing type to fit your asset and timeframe.
Pine Script® göstergesi
Canhoto-Medium tarafından
1
Math by Thomas Liquidity PoolDescription Math by Thomas Liquidity Pool is a TradingView indicator designed to visually identify potential liquidity pools on the chart by detecting areas where price forms clusters of equal highs or equal lows. Bullish Liquidity Pools (Green Boxes): Marked below price where two adjacent candles have similar lows within a specified difference, indicating potential demand zones or stop loss clusters below support. Bearish Liquidity Pools (Red Boxes): Marked above price where two adjacent candles have similar highs within the difference threshold, indicating potential supply zones or stop loss clusters above resistance. This tool helps traders spot areas where smart money might hunt stop losses or where price is likely to react, providing valuable insight for trade entries, exits, and risk management. Features: Adjustable box height (vertical range) in points. Adjustable maximum difference threshold between candle highs/lows to consider them equal. Boxes automatically extend forward for visibility and delete when price sweeps through or after a defined lifetime. Separate visual zones for bullish and bearish liquidity with customizable colors. How to Use Add the Indicator to your chart (preferably on instruments like Nifty where point-based thresholds are meaningful). Adjust Inputs: Box Height: Set the vertical size of the liquidity zones (default 15 points). Max Difference Between Highs/Lows: Set the max price difference to consider two candle highs or lows as “equal” (default 10 points). Box Lifetime: How many bars the box stays visible if not swept (default 120 bars). Interpret Boxes: Green Boxes (Bullish Liquidity Pools): Areas of potential demand and stop loss clusters below price. Watch for price bounces or accumulation near these zones. Red Boxes (Bearish Liquidity Pools): Areas of potential supply and stop loss clusters above price. Watch for price rejections or distribution near these zones. Trading Strategy Tips: Use these zones to anticipate where stop loss hunting or liquidity sweeps may occur. Combine with your Order Block, Fair Value Gap, and Market Structure tools for higher probability setups. Manage risk by avoiding entries into price regions just before large liquidity pools get swept. Automatic Cleanup: Boxes delete automatically once price breaks above (for bearish zones) or below (for bullish zones) the zone or after the set lifetime.
Pine Script® göstergesi
MathThomas tarafından
Volume with High/Low ColoringThe "Volume with High/Low Coloring" indicator is designed to help traders visually differentiate between high, low, and normal volume bars relative to recent historical averages. By applying dynamic color coding and customizable thresholds, this indicator enhances volume analysis and improves your ability to spot key moments of accumulation, distribution, or market inactivity. High Volume: A bar is marked as high volume when it exceeds the average by a customizable multiplier (default is 1.5×) . Low Volume: A bar is considered low volume when it falls below the average by another multiplier (default is 0.5×) . Normal Volume: All bars that fall between the high and low thresholds. Each category is displayed in a different user-selectable color, providing instant visual feedback for volume dynamics. Customizable Colors: High Volume: Light Green (default: semi-transparent green) Low Volume: Light Blue (default: semi-transparent blue) Normal Volume: Yellow (default: semi-transparent yellow) Average Volume Line: Gray (optional reference line)
Pine Script® göstergesi
bestindicatorsever tarafından