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Renko ChartHello All. This is live and non-repainting Renko Charting tool. The tool has it’s own engine and not using integrated function of Trading View. Renko charts ignore time and focus solely on price changes that meet a minimum requirement. Time is not a factor on Renko chart but as you can see with this script Renko chart created on time chart. Renko chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify. in the script Renko Trend Line with threshold area is included. and also there is protection from whipsaws, so you can catch big waves with very good entry points. Trend line is calculated by EMA of Renko closing price. As source Closing price or High/Low can be used. Traditional or ATR can be used for scaling. If ATR is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and brick size (ATR/Percentage) is 0.00124 then box size becomes 0.001. And also while using dynamic brick size (ATR), box size changes only when Renko closing price changed. Renko bar can be seen as area or candle and also optionally bar color changes when Renko trend changed. Soon other Renko scripts (Renko RSI, Renko Weis Wave, Renko MACD etc) are coming ;) ENJOY!
Indicatore Pine Script®
di LonesomeTheBlue
80
Trading Public School ST1This is a derivative of Trading Public School "TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11). Black crosses on the midline show that the market just entered a squeeze ( Bollinger Bands are with in Keltner Channel). This signifies low volatility , market preparing itself for an explosive move (up or down). Gray crosses signify "Squeeze release". Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change). My (limited) experience with this shows, an additional indicator like ADX / WaveTrend, is needed to not miss good entry points. Also, Mr.Carter uses simple momentum indicator , while I have used a different method (linreg based) to plot the histogram. 100% Profit & loss 10% Only
Strategia Pine Script®
di GF7987
2
Windowed Volume Weighted Moving AverageIntroduction The concept of windowing was briefly introduced in the Blackman filter post, however windowing is more than just some window functions, and isn't exclusively used in filter design. Today we will use windowing with the volume weighted moving average, a moving average that weight the price with volume in order to be more reactive when volume is high, that is the moving average is more reactive when the market is more active. The use of windowing in the vwma allow to enhance its performance in the frequency domain which result in a smoother output. Note that i made a similar indicator long ago, but at that time I was not great at all with math and pinescript in general and the indicator was therefore wrong, i want to remind to the community that i'am not a professional, only an enthusiast, I never claimed to be a master coder and i'am totally open to receive criticism, if I sounded like bragging in the past I apologize, at 20 years old it is still easy to act like a kid, the information contained in my posts is only shared in order to help others but also myself, since sharing is also a way to learn more effectively. That said lets go with the indicator. Windowing Windowing consist on applying a window function to a signal, by applying i mostly talk about multiplying, this process is mostly used with windowed sinc filters in order to reduce ripples in the pass/stop band, but can be used with any kind of filters in order to have better frequency domain performance, the only thing we need to do is to multiply the filter weights by a window function. In order to understand windowing it is useful to visualize this process and understand spectral leakage. Remember that we can describe a signal as the sum of sine/cosine waves of different frequencies, amplitude and phase, leakage is an effect that appear with signals having discontinuities, that is when a signal non periodic. This figure show a non periodic sine wave of frequency 0.1, a non periodic signal will have is last sample value different from its first sample value, if we where to do its fourier transform we wouldn't end up with a single bin at 0.1 but with more bins, this is spectral leakage, the discontinuities in the signal create additional frequency components. In order to reduce leakage we must make the signal approximately periodic, this is done by making use of window functions. A window function is symmetric and relatively smooth, all we have to do is to multiply our first non periodic signal with the window function. We end up with the following windowed signal : The signal is approximately periodic and leakage has been reduced. Now that we have seen that, it might be useful to see why it is useful in filters. Remember that the Fourier transform of the filter weights gives us its frequency response, if our weights introduce leakage we end up with ripples, so windowing the filter weights might help reduce the ripples in the frequency response, which result in a smoother filter output. Volume Weighted Moving Average A volume weighted moving average is a FIR filter who use volume as filter kernel, therefore the frequency response of this filter always change, it is therefore not wrong to qualify the vwma as an adaptive moving average. Higher volume mean higher weighting of the current closing price value, which therefore produce a more reactive output. However the smoothness of the moving average is relatively poor. Windowed Volume Weighted Moving Average The proposed moving average has a length setting who control the moving average period, and various options that we will describe below. The first option is the type of window, there are many windows, certains more complex than others, here 3 windows are proposed, the famous Blackman window, the Bartlett, and finally the Hanning window, they provide each different level of smoothness. lets compare our moving average with period 100 with a vwma of the same period. Our moving average in red, and the vwma in blue. As you can see the results are smoother. The power parameter is used in order to give an even higher weighting to closing prices with high volume, this create a more boxy output. Below is a comparison with a vwma in blue and a powered vwma in red with power = 2 without windowing : We can then apply a window, here i will choose the Blackman window : Conclusion A new moving average based on windowed volume weighting has been proposed. The result are smoother which might therefore reduce whipsaw trades. I wish i could have explained things better, unfortunately windowing isn't something i use much, i wanted to post this moving average earlier this year. I will be off in France for 1 week, my flight is tomorrow in the morning, therefore i don't think i'll have the possibility to make other posts this year. I want to profit from this occasion to review my year in tradingview. Many indicators have been posted, some being extremely bad and others really interesting, this year introduced my attempts on estimating the lsma efficiently, the linear channels, an attempt on making lines and remain the first indicator from the v4 i posted if i'am right. Then came the efficient auto-line, who gained some popularity quite fast. Then finally the %G oscillator and the recursive bands where posted, and remain some of the favorites indicators i made. I also wanted to leave this year due to studies, that i totally abandoned, i'am thankful that i chosen to stay. I also want to express my apologies to any member that i could have offended, i think that i'am not a mean person but i certainly not contest the fact that i'am clumsy, even in my work, however my clumsiness is far greater when it comes to interact with other peoples or a group of peoples, i don't want to hurt anyone, if i made anything that made you feel bad then i'am sincerely sorry, and hope we can start this new year from 0. Finally i thank the tradingview community for their interest and curiosity, i thank all the great coders who work on making pinescript a better scripting language, i also thank the tradingview staff for their work this year. I wish you all a merry christmas, and an happy new year. Thanks for reading.
Indicatore Pine Script®
di alexgrover
7
Zenith TraderWarning, all trading involves risk. Be sure to do your own research before placing in a trade and do not realize solely on this indicator. Zenith Trader is made up of 3 parts RSI , WaveTrend by LazyBear, & GMMA Oscillator by JustUncleL It uses crosses of the 0 and/or 50 line on all indicators as a buy/sell indication You can change which indicator is showing on the main screen in the settings. You can all change the time frame when the alerts will pop up in order to customize your own time for alerts to go off.
Indicatore Pine Script®
di savisoffical
2
Dominant Cycle Tuned RsiIntroduction Adaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters" , from the use of variable smoothing constant for exponential smoothing to artificial intelligence. The dominant cycle tuned rsi depend on the dominant cycle period of the market, such method allow the rsi to return accurate peaks and valleys levels. This indicator is an estimation of the cycle finder tuned rsi proposed by Lars von Thienen published in Decoding the Hidden Market Rhythm/Fine-tuning technical indicators using the dominant market vibration/2010 using the cycle measurement method described by John F.Ehlers in Cybernetic Analysis for Stocks and Futures . The following section is for information purpose only, it can be technical so you can skip directly to the The Indicator section. Frequency Estimation and Maximum Entropy Spectral Analysis “Looks like rain,” said Tom precipitously. Tom would have been a great weather forecaster, but market patterns are more complex than weather ones. The ability to measure dominant cycles in a complex signal is hard, also a method able to estimate it really fast add even more challenge to the task. First lets talk about the term dominant cycle , signals can be decomposed in a sum of various sine waves of different frequencies and amplitudes, the dominant cycle is considered to be the frequency of the sine wave with the highest amplitude. In general the highest frequencies are those who form the trend (often called fundamentals) , so detrending is used to eliminate those frequencies in order to keep only mid/mid - highs ones. A lot of methods have been introduced but not that many target market price, Lars von Thienen proposed a method relying on the following processing chain : Lars von Thienen Method = Input -> Filtering and Detrending -> Discrete Fourier Transform of the result -> Selection using Bartels statistical test -> Output Thienen said that his method is better than the one proposed by Elhers. The method from Elhers called MESA was originally developed to interpret seismographic information. This method in short involve the estimation of the phase using low amount of information which divided by 360 return the frequency. At first sight there are no relations with the Maximum entropy spectral estimation proposed by Burg J.P. (1967). Maximum Entropy Spectral Analysis. Proceedings of 37th Meeting, Society of Exploration Geophysics, Oklahoma City. You may also notice that these methods are plotted in the time domain where more classic method such as : power spectrum, spectrogram or FFT are not. The method from Elhers is the one used to tune our rsi. The Indicator Our indicator use the dominant cycle frequency to calculate the period of the rsi thus producing an adaptive rsi . When our adaptive rsi cross under 70, price might start a downtrend, else when our adaptive rsi crossover 30, price might start an uptrend. The alpha parameter is a parameter set to be always lower than 1 and greater than 0. Lower values of alpha minimize the number of detected peaks/valleys while higher ones increase the number of those. 0.07 for alpha seems like a great parameter but it can sometimes need to be changed. The adaptive indicator can also detect small top/bottoms of small periods Of course the indicator is subject to failures At the end it is totally dependent of the dominant cycle estimation, which is still a rough method subject to uncertainty. Conclusion Tuning your indicator is a great way to make it adapt to the market, but its also a complex way to do so and i'm not that convinced about the complexity/result ratio. The version using chart background will be published separately. Feel free to tune your indicators with the estimator from elhers and see if it provide a great enhancement :) Thanks for reading ! References for the calculation of the dominant cycle estimator originally from www.davenewberg.com Decoding the Hidden Market Rhythm (2010) Lars von Thienen Ehlers , J. F. 2004 . Cybernetic Analysis for Stocks and Futures: Cutting-Edge DSP Technology to Improve Your Trading . Wiley
Indicatore Pine Script®
di alexgrover
8
Surface Roughness EstimatorIntroduction Roughness of a signal is often non desired since smooth signals are easier to analyse, its logical to say that anything interacting with rough price is subject to decrease in accuracy/efficiency and can induce non desired effects such as whipsaws. Being able to measure it can give useful information and potentially avoid errors in an analysis. It is said that roughness appear when a signal have high-frequencies (short wavelengths) components with considerable amplitudes, so its not wrong to say that "estimating roughness" can be derived into "estimating complexity". Measuring Roughness There are a lot of way to estimate roughness in a signal, the most well know method being the estimation of fractal dimensions. Here i will use a first order autocorrelation function. Auto-correlation is defined by the linear relationship between a signal and a delayed version of itself, for exemple if the price goes on the same direction than the price i bars back then the auto-correlation will increase, else decrease. So what this have to do with roughness ? Well when the auto-correlation decrease it means that the dominant frequency is high, and therefore that the signal is rough. Interpretation Of The Indicator When the indicator is high it means that price is rough, when its low it indicate that price is smooth. Originally its the inverse way but i found that it was more convenient to do it this way. We can interpret low values of the indicator as a trending market but its not totally true, for example high values dont always indicate that the market is ranging. Here the comparison with the indicator applied to price (orange) and a moving average (purple) The average measurement applied to a moving average is way lower than the one using the price, this is because a moving average is smoother than price. Its also interesting to see that some trend strength estimator like efficiency ratio can treat huge volatility signals as trend as shown below. Here the efficiency ratio treat this volatile movement as a trending market, our indicator instead indicate that this movement is rough, such indication can avoid situation where price is followed by another huge volatile movement in the opposite direction. Its important to make the distinction between volatility and trend strength, the trend is defined by low frequencies components of a signal, therefore measuring trend strength can be resumed as measuring the amplitude of such frequencies, but roughness estimation can do a great job as well. Conclusion I have showed how to estimate roughness in price and compared how our indicator behaved in comparison with a classic trend strength measurement tool. Filters or any other indicator can be way more efficient if they know how to filter according to a situation, more commonly smoothing more when price is rough and smoothing less when price is smooth. Its good to have a wider view of how market is behaving and not sticking with the binary view of "Trending" and "Ranging" . I hope you find a use to this script :) Best Regards
Indicatore Pine Script®
di alexgrover
3
BE-EMA(12,26) (Blue Empire Exponential Moving Average) Simple EMA where you get a CROSS mark between EMA 12 and EMA 26. Each time a cross happens, a spot gets created. If it's cyan, it goes up. If it's magenta, it goes down. I'm studying Trading at Blue Empire Academy, if you want to know more send me a PM. Wave Analysis study the wave's behavior and tries to predict by using trendlines, elliot waves, fibonacci retracements, and EMAs basically. In this Indicator, It's a confirmation when EMA 12 goes over to confirm the price may go up. and Vice versa. Hope you like, please share if you think it's useful and comment if you think this can be better. Thank you again for reading >> This is just an indicator, it doesn't predict the future. Use it at your own risk. << ########## All the credits to @tracks, a genius who helped me polish the code. :] thank you.
Indicatore Pine Script®
di WavePrinciple-Net
SMMA Analyses - Buy / Sell signals and close position signals This script combines the usage of the SMMA indicator in order to provide signals for opening and closing trades, either buy or sell signals. It uses two SMMA , a fast and a slow one, both configurable by the users. The trigger of Buy and Sell Signals are calculated through the SMMA crosses: Buy Signals : The fast SMMA crosses over the slow SMMA . They are highlighting by a green area and a "B" label. Sell Signals : The fast SMMA crosses under the slow SMMA . They are highlighting by a red area and a "S" label The trigger of Close Buy and Close Sell Signals are calculated through the close price crosses with the fast SMMA: Close Buy Signals : The fast SMMA crosses under the close price and at the same time the trend is bullish , so the fast SMMA is greater than the slow SMMA . They are highlighted by a lighter green area Close Sell Signals : The fast SMMA crosses over the close price and at the same time the trend is bearish , so the fast SMMA is lower than the slow SMMA . They are highlighted by a lighter red area Few important points about the indicator and the produced signals : This is not intended to be a strategy, but an indicator for analyzing the SMMA conditions. It gives you the triggers depending on the real time analysis of the SMMA and prices, but not being a proper strategy, pay attention about "fake signals" and add always a visual analysis to the provided signals Following this indicator, the trade positions should be opened only when a cross happens. Either in this case, analyse the chart in order to see if the signals are a "weak" ones, due to "waves" around the SMMA . In these cases, you might wait for the next confirmation signals after the waves, when the trend will be better defined The close trade signals are provided in order to help to understand when you should close the buy or sell trades. Even in this case, always add a visual analysis to the signals, and pay attention to the support/resistance areas. Sometimes, you can have the close signals in correspondence to support/resistance areas: in these cases wait for the definition of the trend and eventually for the next close trade signals if they will be better defined
Indicatore Pine Script®
di quirimmo
5
Fractal HelperA spinoff from a previous script I published, this configurable indicator also selects highs and lows and then plots a trend line that bounces between them. In addition, it also iterates this up to two more times in a quasi-fractal manner, on larger time scales, and plots them on the same graph. Of course this will not spit out Elliott waves, but with adjusting, it could aid in discerning one wave from another. I may experiment with the security function again to get a better, longer L3 plot, although charts are limited in duration anyway.
Indicatore Pine Script®
di Lemrin
2
SB_Wavetrend_OscillatorA take on LazyBear's Wavetrend_Oscillator The idea is bit modified. Original Idea: When the oscillator is above the overbought band (red lines) and crosses down the signal (dotted line), it is usually a good SELL signal. Similarly, when the oscillator crosses above the signal when below the Oversold band (green lines), it is a good BUY signal. Modified Idea: Carrying the original idea, if the oscillator crosses the overbought band (red lines) and crosses down the signal (dotted line) twice without crossing the Oversold band (green lines) and crosses above the signal (dotted line), a buy or sell signal will take place when the oscillator crosses the dotted line and the value of oscillator is >0(if sell order is to be placed) and <0(if buy order is to be placed). For the original idea you can refer to: Let me know if any refinements could improve the oscillator.
Strategia Pine Script®
di SudeepBisht
2
Fractal Quad Components8 Fractal Resonance Component indicators on a chart eats up LOTS of vertical space, so we're providing this Fractal Quad Components script to group 4 components a bit more compactly (eliminating the margin whitespace between indicator rows). To view 8 components you'll need to add a second instance of this script to your chart and set its Base Timescale Multiplier to 16. Then grab the dividers to stretch both instances to a good viewing height. One disadvantage of this grouping method is that to read off the x2, x4, and x8 lead and lag line values, you'll need to mentally add 200, 400 or 600 respectively. We also replaced the "Extreme" > +-100% black crosses (+) with more subtle purple circle outlines. These extreme crosses are often (but not always) too early to be a major reversal so it's best not to overemphasize them. Significant crosses (> +-75%) are still highlighted with black circle outlines, and are the most likely to be major reversals for buy/sell. Note how the 30-minute oscillator (2nd row) showed the cleanest (black-outlined) reversals on the S&P for the last week of 2016, with just a bit more profit-eating lag than the 15-minute oscillator above.
Indicatore Pine Script®
di pythagoras
1
MACD MultiTimeFrame 1h4h1D [Fantastic Fox]Please insert the indicator into 1h time-frame, otherwise you need to change the lengths' inputs. When there are tops for two of the MACDs and they are near and close* to each other, there is a big opportunity of a "Major Top" for the security, and vice versa for "Major Bottom". This indicator can be used for tracing multi time-frame divergence. Also, it could help traders to identify the waves of Elliott Wave, and as a signal for confirmation of an impulse after a correction or retracement. * They should be on top of each others head, not crossing each other. not necessarily touching, but not so far from each other.
Indicatore Pine Script®
di FantasticFox
1
Ehlers Smoothed Stochastic & RSI with Roofing FiltersRoofing filters, first discussed by Mr.John Ehlers, act as a passband, filtering out unwanted noise from market data and accentuating turning points. I have included 2 indicators with filters enabled. Both support double smoothing via options page. All the parameters are configurable. Info on Roofing Filter and Ehlers Super Smoother: ---------------------------------------------------- The Ehlers' Roofing Filter is an expansion on Ehlers Super Smoother Filter, both being smoothing techniques based on analog filters. This filter aims at reducing noise in price data. In Super Smoother Filter, regardless of the time frame used, all waves having cycles of less than 10 bars are considered noise (customizable via options page). The Roofing Filter uses this principle, however, it also creates a so-called "roof" by eliminating wave components having cycles greater than 48 bars which are perceived as "spectral dilation". Thus, the filter only passes those spectral components whose periods are between 10 and 48 bars. This technique noticeably reduces indicator lag and also helps assess turning points more accurately. More info: - Spectral dilation paper: www.mesasoftware.com - John Ehlers presentation: www.youtube.com ------------------------------------------------------ If you want to use RSI %B and Bandwidth, follow this guide to "Make mine" this chart and get access to the source: drive.google.com For the complete list of my indicators, check this post:
Indicatore Pine Script®
di LazyBear
18
Squeeze Momentum Indicator [LazyBear] Fixed a typo in the code where BB multiplier was stuck at 1.5. Thanks @ucsgears for bringing it to my notice. Updated source: pastebin.com Use the updated source instead of the what TV shows below. This is a derivative of John Carter's "TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11). Black crosses on the midline show that the market just entered a squeeze (Bollinger Bands are with in Keltner Channel). This signifies low volatility, market preparing itself for an explosive move (up or down). Gray crosses signify "Squeeze release". Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change). My (limited) experience with this shows, an additional indicator like ADX / WaveTrend, is needed to not miss good entry points. Also, Mr.Carter uses simple momentum indicator, while I have used a different method (linreg based) to plot the histogram. More info: - Book: Mastering The Trade by John F Carter List of all my indicators:
Indicatore Pine Script®
di LazyBear
644
SMC - Institutional Confidence Oscillator [PhenLabs]📊 Institutional Confidence Oscillator Version: PineScript™v6 📌 Description The Institutional Confidence Oscillator (ICO) revolutionizes market analysis by automatically detecting and evaluating institutional activity at key support and resistance levels using our own in-house detection system. This sophisticated indicator combines volume analysis, volatility measurements, and mathematical confidence algorithms to provide real-time readings of institutional sentiment and zone strength. Using our advanced thin liquidity detection, the ICO identifies high-volume, narrow-range bars that signal institutional zone formation, then tracks how these zones perform under market pressure. The result is a dual-wave confidence oscillator that shows traders when institutions are actively defending price levels versus when they’re abandoning positions. The indicator transforms complex institutional behavior patterns into clear, actionable confidence percentiles, helping traders align with smart money movements and avoid common retail trading pitfalls. 🚀 Points of Innovation Automated thin liquidity zone detection using volume threshold multipliers and zone size filtering Dual-sided confidence tracking for both support and resistance levels simultaneously Sigmoid function processing for enhanced mathematical accuracy in confidence calculations Real-time institutional defense pattern analysis through complete test cycles Advanced visual smoothing options with multiple algorithmic methods (EMA, SMA, WMA, ALMA) Integrated momentum indicators and gradient visualization for enhanced signal clarity 🔧 Core Components Volume Threshold System: Analyzes volume ratios against baseline averages to identify institutional activity spikes Zone Detection Algorithm: Automatically identifies thin liquidity zones based on customizable volume and size parameters Confidence Lifecycle Engine: Tracks institutional defense patterns through complete observation windows Mathematical Processing Core: Uses sigmoid functions to convert raw market data into normalized confidence percentiles Visual Enhancement Suite: Provides multiple smoothing methods and customizable display options for optimal chart interpretation 🔥 Key Features Auto-Detection Technology: Automatically scans for institutional zones without manual intervention, saving analysis time Dual Confidence Tracking: Simultaneously monitors both support and resistance institutional activity for comprehensive market view Smart Zone Validation: Evaluates zone strength through volume analysis, adverse excursion measurement, and defense success rates Customizable Parameters: Extensive input options for volume thresholds, observation windows, and visual preferences Real-Time Updates: Continuously processes market data to provide current institutional confidence readings Enhanced Visualization: Features gradient fills, momentum indicators, and information panels for clear signal interpretation 🎨 Visualization Dual Oscillator Lines: Support confidence (cyan) and resistance confidence (red) plotted as percentage values 0-100% Gradient Fill Areas: Color-coded regions showing confidence dominance and strength levels Reference Grid Lines: Horizontal markers at 25%, 50%, and 75% levels for easy interpretation Information Panel: Real-time display of current confidence percentiles with color-coded dominance indicators Momentum Indicators: Rate of change visualization for confidence trends Background Highlights: Extreme confidence level alerts when readings exceed 80% 📖 Usage Guidelines Auto-Detection Settings Use Auto-Detection Default: true Description: Enables automatic thin liquidity zone identification based on volume and size criteria Volume Threshold Multiplier Default: 6.0, Range: 1.0+ Description: Controls sensitivity of volume spike detection for zone identification, higher values require more significant volume increases Volume MA Length Default: 15, Range: 1+ Description: Period for volume moving average baseline calculation, affects volume spike sensitivity Max Zone Height % Default: 0.5%, Range: 0.05%+ Description: Filters out wide price bars, keeping only thin liquidity zones as percentage of current price Confidence Logic Settings Test Observation Window Default: 20 bars, Range: 2+ Description: Number of bars to monitor zone tests for confidence calculation, longer windows provide more stable readings Clean Break Threshold Default: 1.5 ATR, Range: 0.1+ Description: ATR multiple required for zone invalidation, higher values make zones more persistent Visual Settings Smoothing Method Default: EMA, Options: SMA/EMA/WMA/ALMA Description: Algorithm for signal smoothing, EMA responds faster while SMA provides more stability Smoothing Length Default: 5, Range: 1-50 Description: Period for smoothing calculation, higher values create smoother lines with more lag ✅ Best Use Cases Trending market analysis where institutional zones provide reliable support/resistance levels Breakout confirmation by validating zone strength before position entry Divergence analysis when confidence shifts between support and resistance levels Risk management through identification of high-confidence institutional backing Market structure analysis for understanding institutional sentiment changes ⚠️ Limitations Performs best in liquid markets with clear institutional participation May produce false signals during low-volume or holiday trading periods Requires sufficient price history for accurate confidence calculations Confidence readings can fluctuate rapidly during high-impact news events Manual fallback zones may not reflect actual institutional activity 💡 What Makes This Unique Automated Detection: First Pine Script indicator to automatically identify thin liquidity zones using sophisticated volume analysis Dual-Sided Analysis: Simultaneously tracks institutional confidence for both support and resistance levels Mathematical Precision: Uses sigmoid functions for enhanced accuracy in confidence percentage calculations Real-Time Processing: Continuously evaluates institutional defense patterns as market conditions change Visual Innovation: Advanced smoothing options and gradient visualization for superior chart clarity 🔬 How It Works 1. Zone Identification Process: Scans for high-volume bars that exceed the volume threshold multiplier Filters bars by maximum zone height percentage to identify thin liquidity conditions Stores qualified zones with proximity threshold filtering for relevance 2. Confidence Calculation Process: Monitors price interaction with identified zones during observation windows Measures volume ratios and adverse excursions during zone tests Applies sigmoid function processing to normalize raw data into confidence percentiles 3. Real-Time Analysis Process: Continuously updates confidence readings as new market data becomes available Tracks institutional defense success rates and zone validation patterns Provides visual and numerical feedback through the oscillator display 💡 Note: The ICO works best when combined with traditional technical analysis and proper risk management. Higher confidence readings indicate stronger institutional backing but should be confirmed with price action and volume analysis. Consider using multiple timeframes for comprehensive market structure understanding.
Indicatore Pine Script®
di PhenLabs
christophrobert MMA'sThe market moves in waves of momentum and trends, often leaving traders guessing where the true peaks and bottoms lie. The Multiple Moving Average Indicator is designed to cut through that noise. By layering multiple moving averages into a ribbon indicator, this tool makes it easy to spot shifts in momentum, highlight potential market tops and bottoms, and visualize the strength of a trend at a glance. Whether you’re looking for the best times to buy, sell, or simply confirm the strength of a move, this indicator provides a clear framework to guide your decisions.
Indicatore Pine Script®
di AlgoNavigator