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MMA

Guppy MMA [Alpha Extract]A sophisticated trend-following and momentum assessment system that constructs dynamic trader and investor sentiment channels using multiple moving average groups with advanced scoring mechanisms and smoothed CCI-style visualizations for optimal market trend analysis. Utilizing enhanced dual-group methodology with threshold-based trend detection, this indicator delivers institutional-grade GMMA analysis that adapts to varying market conditions while providing high-probability entry and exit signals through crossover and extreme value detection with comprehensive visual mapping and alert integration. 🔶 Advanced Channel Construction Implements dual-group architecture using short-term and long-term moving averages as foundation points, applying customizable MA types to reduce noise and score-based averaging for sentiment-responsive trend channels. The system creates trader channels from shorter periods and investor channels from longer periods with configurable periods for optimal market reaction zones. // Core Channel Calculation Framework maType = input.string("EMA", title="Moving Average Type", options= ) // Short-Term Group Construction stMA1 = ma(close, st1, maType) stMA2 = ma(close, st2, maType) // Long-Term Group Construction ltMA1 = ma(close, lt1, maType) ltMA2 = ma(close, lt2, maType) // Smoothing Application smoothedavg = ma(overallAvg, 10, maType) 🔶 Volatility-Adaptive Zone Framework Features dynamic score-based averaging that expands sentiment signals during strong trend periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine momentum shifts. The dual-group averaging system optimizes zone boundaries for realistic market behavior patterns. // Dynamic Sentiment Adjustment shortTermAvg = (stScore1 + stScore2 + ... + stScore11) / 11 longTermAvg = (ltScore1 + ltScore2 + ... + ltScore11) / 11 // Dual-Group Zone Optimization overallAvg = (shortTermAvg + longTermAvg) / 2 allMAAvg = (shortTermAvg * 11 + longTermAvg * 11) / 22 🔶 Step-Like Boundary Evolution Creates threshold-based trend boundaries that update on smoothed average changes, providing visual history of evolving bullish and bearish levels with performance-optimized threshold management limited to key zones for clean chart presentation and efficient processing. 🔶 Comprehensive Signal Detection Generates buy and sell signals through sophisticated crossover analysis, monitoring smoothed average interaction with zero-line and thresholds for high-probability entry and exit identification. The system distinguishes between trend continuation and reversal patterns with precision timing. 🔶 Enhanced Visual Architecture Provides translucent zone fills with gradient intensity scaling, threshold-based historical boundaries, and dynamic background highlighting that activates upon trend changes. The visual system uses institutional color coding with green bullish zones and red bearish zones for intuitive market structure interpretation. 🔶 Intelligent Zone Management Implements automatic trend relevance filtering, displaying signals only when smoothed average proximity warrants analysis attention. The system maintains optimal performance through smart averaging management and historical level tracking with configurable MA periods for various market conditions. 🔶 Multi-Dimensional Analysis Framework Combines trend continuation analysis through threshold crossovers with momentum detection via extreme markers, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with score-normalized accuracy. 🔶 Advanced Alert Integration Features comprehensive notification system covering buy signals, sell signals, strong bull conditions, and strong bear conditions with customizable alert conditions. The system enables precise position management through real-time notifications of critical sentiment interaction events and zone boundary violations. 🔶 Performance Optimization Utilizes efficient MA smoothing algorithms with configurable types for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic visual level cleanup and performance-optimized visual rendering for smooth operation across all timeframes. This indicator delivers sophisticated GMMA-based market analysis through score-adaptive averaging calculations and intelligent group construction methodology. By combining dynamic trader and investor sentiment detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade trend analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying market conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to trend trading, momentum reversals, and sentiment continuation analysis with clearly defined risk parameters and comprehensive alert integration.
Pine Script®指標
由AlphaExtract提供
MMA mainpanelI stumbled on the MMA in the “Active Investing” course notes by Alan Hull (who invented the Hull Moving Average) alanhull.com He writes on page 13: “Multiple moving averages, MMAs, are a sophisticated tool that can be used in a range of applications. MMAs are a series of lines that track and filter the weekly price movements. They consist of 2 sets of lines that allow Technical Analysts to observe and compare the immediate behavior of price activity with the long term behavior of the price activity. Exponential moving averages are used for this type of analysis. The price bars in the following chart have been switched off to improve readability of the MMA lines.” “Once we have found a share that has an acceptable 'Rate of return' we must make a qualitative judgment of the trend. We are looking for a strong and consistent trend that is not likely to reverse shortly after we enter the market. The following points are critical; - The long term group must be spreading apart or running parallel with each other. - The long term group must be pointing upwards. - The straighter the long term group of lines are; the less volatile the trend is. - The short term group can pullback (ie. compress together) but if they cross into the long term group then the trend is weakening and may be about to break. This type of qualitative analysis is only used when entering the market and the idea is to avoid volatility. We want to 'Buy and Hold' and not get bounced in and out of the market. Judging the quality of trends is the most subjective function we will have to perform.” Because I tend to close positions too soon, I tried MMA. I found that it can help me to stay in position as long as the trend is going on. TradingView offers several scripts for MMA, this version differs from the others because I added color zones and linecolor changes to mark the trend according to Alan’s norms: An uptrend is marked with a blue zone when the short term group is above the long term group and the long term group is sorted correctly and ema50 points up. The zone is purple when vice versa in downtrend. When there is no trend no zone is colored, but the lines are made gray. Because of Alan’s idea to show MMA without price bars, I created both an overlay version for the main panel and a version for a sub panel.
Pine Script®指標
由eykpunter提供
6
Guppy Multiple Moving AverageAn implementation of the Guppy Multiple Moving Average, as originally described by Daryl Guppy. Alert presets have been added for convenience, including - Price enters investor group - Price rises over investor group - Price falls under investor group - Trader-group rises above Investor group - Trader-group falls below Investor group Learn more about interpretation and uses of the GMMA in some of Daryl's books, I have thoroughly enjoyed reading "Trend Trading" and am looking forward to reading more of his works.
Pine Script®指標
由optictropic提供
18
Renko GuppyI like renko blocks and I like guppy mma's so I decided to put together a study for using them with each other while I'm using other bar types. Additionally, I added two line plots for two different renko sizes of your choice. This has a nice benefit of being able to see how price appears to be ranging between the "block sizes". Being able to see the lines contract, especially within these "ranging" zones, gives you a great indication of an impending breakout. The example you see above shows the guppy block size set to 15, the white line is 50 and the blue is 100. It should hopefully illustrate the idea. The current close price (red line) can also be optionally plotted as a separate moving average, or simply the close price. I defaulted it to a 3 period EMA to smooth it out a bit so it flows a bit better with the guppy ma's. It's helpful to see how price is actually moving around within these Renko blocks. Pick either Traditional or ATR block sizes. There are the fast (5) / slow (5) moving averages. Pick your poison: EMA (default), SMA, WMA, SMMA, DEMA, TEMA, HullMA, ZEMA, TMA, SSMA There's some options to disable/enable things as you see fit. The defaults are set to my own needs so you'll probably want to change block sizes for you preferences/symbols/timeframes. Note: This is presumably only usable for those of you with access to Renko charts on here.
Pine Script®指標
由imsharper提供
2
Rainbow MA StudyI've been interested in 'Multiple Moving Averages' lately and came across another script on here for a Rainbow MA. Unfortunately its source is private and I wanted to try things out with other MA types so I put this together. I also wanted to make it a seperate study so I could view regular bars without the clutter. The general rule of thumb with these is the larger the price movement the wider the lines become giving you sort of a wave effect. When the lines bunch up together you know there's going to be a breakout opportunity that will present itself. Partly art, partly practical, entirely overkill. Enjoy! The anchor multiplier should basically allow you to view things in relation to another time period, but it takes forever to load and will likely time out. Since there are 63 MA's being calculated and plotted changing options on the fly takes some time to process and load. I'm also pretty new to pine script so it's probably not the best implementation. MA types: EMA (default), SMA, WMA, VWMA, SMMA, DEMA, TEMA, HullMA, ZEMA, TMA, SSMA Play around with these to see some different effects. The white line is the current close price. Color 1 МАs: 2,3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 Color 2 MAs: 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41 Color 3 MAs: 44, 47, 50, 53, 56, 59, 62, 65, 68, 71, 74 Color 4 MAs: 78, 82, 86, 90, 94, 98, 102, 106, 110, 114, 118, 122 Color 5 MAs: 126, 131, 137, 143, 149, 155, 155, 161, 167, 173, 179, 185, 191, 197 You can more easily change the colors at the top of this source code instead of one by one in the settings. If you want this on your main chart instead of a separate window you'll just need to change overlay=true in the study. References & Thanks: JustUncleL: For the timeframe anchor, MA variants, and generally awesome work. This is more practical. StickyCheeba: For the idea. Here's some shots to get an idea of the differences. HullMA: VWMA: SSMA: TMA:
Pine Script®指標
由imsharper提供
4
Indicators: Rainbow Charts Oscillator, Binary Wave and MAsRainbow Charts, by Mel Widner, is a trend detector. It uses recursively smoothed MAs (remember, this idea was proposed back in 1997 -- it was certainly cool back then!) and also builds an oscillator out of the MAs. Oscillator bands indicate the stability range. I have also included a simple binary wave based on whether all the MAs are in an upward slope or not. If you see any value above 0.5 there, the trend is definitely up (all MAs pointing up). More info: www.traders.com Here's my complete list of indicators (With these 3, the total count should be above 100 now...will update the list later today)
Pine Script®指標
由LazyBear提供
24