All-In-One MA Stack ScalperWhat is this Indicator?
This tool is an advanced, multi-layered breakout and trend-following indicator designed for lower timeframes. It identifies high-conviction buy and sell signals by combining moving average stacking with a suite of professional-grade filters.
How Does It Work?
A signal is generated only when ALL of the following conditions are met:
Moving Average Stack (5M Chart):
Buy: The close price is above all five moving averages (MAs: 100, 48, 36, 24, 12).
Sell: The close price is below all five MAs.
Volatility Filter (ATR):
Signals only print when the current ATR (14) is at least 80% of its 100-period average, ensuring you only trade in actively moving markets.
Candle Structure Filter:
The current candle must have a real body that is at least 35% of the candle’s total range, filtering out dojis and indecision bars.
Big Candle Filter:
The candle’s total range must be at least 40% of the current ATR, avoiding signals on minor, insignificant moves.
Volume Filter:
The current volume must be at least 80% of its 50-period average, filtering out signals during illiquid or quiet market conditions.
Minimum Distance from All MAs:
Price must be a minimum distance (20% ATR) away from each MA, confirming a clean breakout and avoiding signals in tight MA clusters or ranging markets.
RSI Momentum Filter:
Buy: RSI(14) must be greater than 55.
Sell: RSI(14) must be less than 45.
This ensures trades are only taken in the direction of momentum.
ADX Trend Filter:
ADX(14,14) must be above 20, ensuring signals only print in trending conditions (not in chop/range).
Minimum Bars Between Signals:
Only one signal per direction is allowed every 10 bars to avoid overtrading and signal clustering.
What Does This Achieve?
Reduces noise and false signals common in basic MA cross or stack systems.
Captures only strong, high-momentum, and high-conviction moves.
Helps you avoid chop, range, and news whipsaws by combining multiple market filters.
Perfect for advanced scalpers, intraday trend followers, or as a trade filter for algos/EAs.
How to Use It:
Apply to your 5-minute chart.
Green BUY signals: Only when all bullish conditions align.
Red SELL signals: Only when all bearish conditions align.
Use as a stand-alone system or as a filter for your own entries.
Recommended For:
Scalpers & intraday traders who want only the best opportunities.
EA and bot builders seeking reliable signal logic.
Manual traders seeking confirmation of high-probability breakouts.
Tip:
Adjust any of the filters (e.g., RSI/ADX thresholds, minBars, minDist) to make it more/less selective for your style or market.
ค้นหาในสคริปต์สำหรับ "MA Cross"
Daily Moving Averages on Intraday ChartsThis moving average script displays the chosen 5 daily moving averages on intraday (minute) charts. It automatically adjusts the intervals to show the proper moving averages.
In a day there are 375 trading minutes from 9:15 AM to 3:30PM in Indian market. In 5 days there are 1875 minutes. For other markets adjust this data accordingly.
If 5DMA is chosen on a five minute chart the moving average will use 375 interval values (1875/5 = 375) of 5minute chart to calculate moving average. Same 5DMA on 25minute chart will use 75 interval values (1875/25 = 75).
On a 1minute chart the 5DMA plot will use 1875 interval values to arrive at the moving average.
Since tradingview only allows 5000 intervals to lookback, if a particular daily moving average on intraday chart needs more than 5000 candle data it won't be shown. E.g 200DMA on 5minute chart needs 15000 candles data to plot a correct 200DMA line. Anything less than that would give incorrect moving average and hence it won't be shown on the chart.
MA crossover for the first two MAs is provided. If you want to use that option, make sure you give the moving averages in the correct order.
You can enhance this script and use it in any way you please as long as you make it opensource on TradingView. Feedback and improvement suggestions are welcome.
Special thanks to @JohnMuchow for his moving averages script for all timeframes.
Plot background depending on Index EMA 10 and EMA 20This indicator gives the user an easy way to check the conditions of the market.
Up market should be good for breakout traders.
Down market should be good for breakdown shortsellers
The others should be good for pullback buyers.
This script automaticlly check which index should be used for the depending on which ticker is view. If no match is found indicator will use IXIC as reference.
The script works for Nordic and US stocks.
"OMXSPI"
"OBX"
"OMXSPI"
"OMXHPI"
"OMXCPI"
"IXIC"
It then alculated the EMA10 and EMA20 for the index and plots the background depending on 6 differnet conditions.
EMA10 below EMA20 and EMA10 and EMA20 is sloping down. //Down market
EMA10 above EMA20 and EMA10 and EMA20 is sloping up. //Up market
EMA10 below EMA20 and EMA10 sloping up and EMA20 is sloping down. //First indication by market to move up
EMA10 above EMA20 and EMA10 sloping down and EMA20 is sloping up. //First indication by market to move down
EMA10 below EMA20 and EMA10 sloping up and EMA20 is sloping up. //Possible MA cross over
EMA10 below EMA20 and EMA10 sloping down and EMA20 is sloping down. //Possible MA cross over
RedK DIY ZLMA: Customizable Zero-Lag MA (Educational / Utility)This script is more of an educational / utility piece rather than a fully-fledged indicator - It provides an easy way to customize and produce a zero-lag Moving average that can then be used in various scenarios
What is DIY_ZLMA?
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The DIY ZLMA is for fans and enthusiasts of researching Moving Averages (like me) - the script enables the user to play around with one of the common approaches used to reduce lag in moving averages - which was explained in this old post below
Suggested uses of the DIY_ZLMA
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* The Zero-lag approach here applies 3 moving average passes to a source data series - I'll refer to these 3 passes as Base MA Pass , De-lagging Pass, and Smoothing Pass - these "passes" can be customized from the indicator settings in terms of MA Length and type. The first pass allows the choice of a "source", and the second pass allows additional fine tuning by playing around with the magnification factor. The 3rd pass (smoothing) is optional and can be skipped altogether when needed. (as noted in the script, HMA and TEMA, which are very common low-lag MA's use slightly different approach in the calculation than the one used here .. so we can't get an equivalent of either of these MA's with the customization of DIY_ZLMA parameters)
* After the user experiments with the various settings for the 3 passes, and finds a "preferred combination", the script not only plots the resulting My_ZLMA - it also produces the "1-line Pine script formula" that the user can then use in any other script, maybe to smoothen some data series, or to combine with other types of moving averages to create multi-MA cross-over trading signals... and so on.
* The DIY_ZLMA can also be added to another indicator as a signal line using the Indicator-on-Indicator feature of TradingView (review this post for step-by-step -->
)
* the script also showcases couple of recent (and very neat) Pine features: the use of User-defined Types (UDT) and User-defined Methods - which are awesome and a lot of fun to work with :)
Since this is more of a utility piece, I added as many comments as possible to the script to explain the way it works - so it's more valuable if someone finds it by searching the "Add Indicator" feature in TradingView charts
Please feel free to play around with this new toy :) and share comments and feedback below if you find this useful. I truly hope you do.
Hodrick-Prescott Channel [Loxx]Hodrick-Prescott Channel is a fast and slow moving average that moves inside a channel. Breakouts are when the fast ma crosses up over the slow ma and breakdowns are the opposite. The white moving average is the fast ma, the slow moving average is the red/green ma.
What is Hodrick–Prescott filter?
The Hodrick–Prescott filter (also known as Hodrick–Prescott decomposition) is a mathematical tool used in macroeconomics, especially in real business cycle theory, to remove the cyclical component of a time series from raw data. It is used to obtain a smoothed-curve representation of a time series, one that is more sensitive to long-term than to short-term fluctuations. The adjustment of the sensitivity of the trend to short-term fluctuations is achieved by modifying a multiplier Lambda.
The filter was popularized in the field of economics in the 1990s by economists Robert J. Hodrick and Nobel Memorial Prize winner Edward C. Prescott, though it was first proposed much earlier by E. T. Whittaker in 1923.
There are some drawbacks to use the HP filter than you can read here: en.wikipedia.org
Included
Bar coloring
Signals
Alerts
BTC Pi MultipleThe Pi Multiple is a function of 350 and 111-day moving average. When both intersect and the 111-day MA crosses above, it has historically coincided with a cycle top with a 3-day margin.
With the Pi Multiple, this intersection is visible when the line crosses zero upwards.
The indicator is called the Pi Multiple because 350/111 is close to Pi. It is based on the Pi Cycle Top Indicator developed by Philip Swift and has been modified for better readability by David Bertho.
Two MA Signal IndicatorThis Signal Indicator that emits a signal based on two MAs crossover/crossunder. It is designed to be used as an External Input for "Template Trailing Strategy" to verify the correctness of the External Deal Condition Mode of the aforementioned script and the Internal Strategy logic. Also, this script is a simple example on how to create custom signal indicators that can be "pugged" to the "Template Trailing Strategy" and get all the features this strategy script can provide!
Money Flow Index (double) by CoinStaghey Piners community,
this is an iteration of inbuilt MFI script, with two MFIs of different lengths and one Moving Average which is dependent on MFI 1.
I find it useful to see the trend of longer MFI period, which tells me what direction to trade. On shorter period MFI I'm looking at Oversold or Overbought zones - while quicker MFI index is there, I'm looking to Buy/Sell, depending on trend.
Alternatively, you can use also MFI1 and MA crossovers to spot potential entries.
It seems like a good tool for crypto markets on any timeframes - from 5min, to 4h.
RedK Compound Ratio Moving Average (CoRa_Wave)
Compound Ratio Weighted Average (CoRa_Wave) is a moving average where the weights increase in a "logarithmically linear" way - from the furthest point in the data to the current point - the formula to calculate these weights work in a similar way to how "compound ratio" works - you start with an initial amount, then add a consistent "ratio of the cumulative prior sum" each period until you reach the end amount. The result is, the "step ratio" between the weights is consistent - This is not the case with linear-weights moving average (WMA), or EMA
- for example, if you consider a Weighted Moving Average (WMA) of length 5, the weights will be (from the furthest point towards the most current) 1, 2, 3, 4, 5 -- we can see that the ratio between these weights are inconsistent. in fact, the ratio between the 2 furthest points is 2:1, but the ratio between the most recent points is 5:4 -- the ratio is inconsistent, and in fact, more recent points are not getting the best weights they should/can get to counter-act the lag effect. Using the Compound ratio approach addresses that point.
a key advantage here is that we can significantly reduce the "tail weight" - which is "relatively" large in other MAs and would be main cause for lag - giving more weights to the most recent data points - and in a way that is consistent, reliable and easy to "code"
- the outcome is, a moving average line that suffers very little lag regardless of the length, and that can be relied on to track the price movements and swings closely.
other features:
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- An accelerator, or multiplier, has been added to further increase the "aggressiveness" of the moving average line, giving even more weights to the more recent points - the multiplier will have more effect between 1 and 5, then will have a diminishing effect after that - note that a multiplier of 0 (which effectively causes a comp. ratio of 0 to be applied) will produce a Simple Moving Average line :)
- We also added the ability to use an "automatic smoothing" mechanism, that user can over-ride by manually choosing how much smoothing is used. This gives more flexibility to how we can leverage this Moving Average in our charting.
- User can also select the Resolution and Source price for the CoRa_Wave. by default, they will be set to "same as chart" and hlc3
here are the formulas for our Compound Ratio moving average:
Compound Weight ratio r = (A/P)^1/t - 1
Weight at time t A = P(1 + r)^t
= Start_val * (1 + r) ^ index
index in the above formula is 0 for the furthest point out
Here's how CoRa_Wave compares to other common moving averages all set to the same length (20)
Proposed Usage
- CoRa_Wave can be used for any scenarios where we need a moving average that closely tracks the price, trend, swings with high responsiveness and little lag
- MA Cross-over scenarios - against another CoRa_Wave or any other MA
- below is a quick example scenario for how to utilize 2 CoRa_Wave lines of same length (one for open and one for closing price) to track swings and trends
- get as creative as you need :)
Code is commented - please feel free to leverage or customize further as you need.
👉 if you are interested in other moving averages i posted before, please check out the FiMA and the v_Wave ...
+ True RSIThis is a better, cleaner version (in my opinion) of an part of an indicator I was using that was coded up by cI8DH. I reached out to him about cleaning up the code (things weren't working) for Pinescript v4, but he no longer seems to be active, so I thought I might take it upon myself to at least work out this portion of the indicator.
Much credit goes to him. Below is the indicator that he coded, of which only one part have I made additions to.
So, he calls this the True RSI. I was using it as part of the USI, which I posted above (it's the MA Percent indicator type). To my eyes it's not far different from the standard RSI, so I probably could have just made a version of that, but I like this one, and I was excited to add a few things (like candle coloring, which no longer works with his version!).
So, what's different?
I added two different background fills.
I made the lines types for the extremities and midline more appropriate for the indicator.
I added bullish, bearish, overbought, and oversold candle coloring.
I added a multitude of moving averages as well.
If this looks like my '+ %B' indicator, that is because I basically just moved the MA's and candle coloring code over. One could probably do this with many different indicators.
In the future I will probably add alerts, and maybe MA cross candles as well. Or not. Well, almost certainly alerts. Please enjoy!
CS Ultimate MA CrossThis indicator adds 5 Moving Averages on your chart. You can select the MA Type: SMA, EMA, RMA or VWMA.
By selecting a Fast MA and a Slow MA you can also draw a cloud to make the Bull or Bear bias more visual. Possibility to add on the chart Long/Short signal.
MTF possible by changing the range which is particularly useful for HTF analysis while looking a LTF price action.
Gastitan MA-cross/RSI/PSARThis script gives
moving average cross alert
RSI alert when change from bull to bear, and viceverse
Parabolic sar indicator
Also you have a panel with the current price and RSI values.
E_SMACD_And_Pine_TutorialI wrote this script to both be a Pine Script tutorial and a useable indicator. I use it for trading crypto based on trends I see in the ma crossovers, highs/lows, and volatility spikes.
eha MA CrossIn the study of time series, and specifically technical analysis of the stock market, a moving-average cross occurs when, the traces of plotting of two moving averages each based on different degrees of smoothing cross each other. Although it does not predict future direction but at least shows trends.
This indicator uses two moving averages, a slower moving average and a faster-moving average. The faster moving average is a short term moving average. A short term moving average is faster because it only considers prices over a short period of time and is thus more reactive to daily price changes.
On the other hand, a long term moving average is deemed slower as it encapsulates prices over a longer period and is more passive. However, it tends to smooth out price noises which are often reflected in short term moving averages.
There are a bunch of parameters that you can set on this indicator based on your needs.
Moving Averages Algorithm
You can choose between three types provided of Algorithms
Simple Moving Average
Exponential Moving Average
Weighted Moving Average
I will update this study with more educational materials in the near future so be informed by following the study and let me know what you think about it.
Please hit the like button if this study is useful for you.
SVAMA - A Non Parametric Adaptive Moving Average Based On VolumeIntroduction
Technical indicators often have parameters settings that the user must enter, those are inconvenient when the user must design a strategy because such settings must be optimized, it must also been noted that the optimal settings at time t could change at time t+n , this is why non parametric indicators are more efficient. Today i propose a moving average adapting to the market volume without using parameters affecting the smoothing.
The Indicator
The volume is rescaled in a range of (1,0) by using max or min normalization. Exponential averaging is used to provide the moving average.
When using max normalization the moving average react faster when the volume is closer to its all time high, when using min normalization the moving average react faster when the volume is closer to its all time low. You can select the method (max or min) from the "Method" parameter.
Volume tend to be higher and more periodic with higher time-frames, this is why lower time-frames might return smoother results when using the Max method. It is recommended to use the Max method when we want a faster moving average while the Min method is more suited to get a slower moving average.
Both methods can provide an interesting MA-Cross system when used on higher time frames.
Conclusion
There should be more non parametric indicators, this would allow for faster and easier optimization processes when creating a strategy, in theory any indicator using a moving average or highest/lowest could be made non parametric by using a running mean or running max/min but the indicator might loose important information.
This is one of my main focus right now since such indicators could also allow for improvements when used with artificial intelligence. I hope you find an use to it, don't hesitate to send me your suggestions.
Thanks for reading !
Adaptive Autonomous Recursive Trailing StopIntroduction
Trailing stop are important indicators in technical analysis, today i propose a new trailing stop A2RTS based on my last published indicator A2RMA (1), this last indicator directly used an error measurement thus providing a way to create enveloppes, which provide a direct way to create trailing stops based on highest/lowest rules.
The Indicator
If you need a more detailed explanation of this indicator i encourage you to check the A2RMA indicator post i made, parameters does not differ from the supertrend, thus having a length parameter and a factor parameter who is here described as gamma , gamma control how far away are the bands from each others thus spotting longer terms trends when gamma is higher.
On BTCUSD
Something worth mentioning is that the indicator sometimes behave like my MTA trailing stop indicator (2) who is closer to the price when a trend persist thus providing early exit points, however A2RTS behave a bit better.
Price can sometimes break the trailing stop, this can be interpreted as a support/resistance or just as an exit point, the support resistance methodology on trailing stop is not the most recommended.
Sometimes it is recommended to have an higher length rather than an high gamma like in this case for INTEL CORP, below gamma = 3 and length = 20
The microprocessor market like to use higher length's instead of higher gamma's , A2RMA is a non-linear filter, this would explain such behaviour.
Conclusion
Trailing stops might not suffer as much from whipsaw trades than MA crossovers but they still remain inefficient when market is not trending, results of the proposed indicator on major forex pairs are more than disappointing, but i hope this will serve as basis for other trailing stops that might act a little bit better. I conclude this post by thanking everyone who support my work and i encourage you to modify this indicator and share it with the community.
Thanks for reading !
Cited Articles
The Scale Of Sacred SoundsBased on the Sacred Sound Scale
How to use it:
This indicator is designed to capture the inferred behavior of traders and investors by using two groups of averages.
Meant for longer trades and trend indicator.
Used on any timescale as needed.
Can trade on long or short where the slow MA crosses fast Ma or where the Slow MA compresses and flips open again.
Follow the trend to the end - pot of gold at the end of the rainbow :-)
References:
Based on Daryl Guppy GMMA and
www.guppytraders.com
Read more at:
whatmusicreallyis.com
There is one tuning in which the frequencies 432, 528, 424 and 440 Hz can peacefully coexist. The scale has 32+1 pure harmonic tones and the reference frequency of 256 Hz. It comes from the Natural Ascending Series of Harmonics 32 to 64 of the 8 Hz Fundamental Tone, and represents its 6th double. I call this tuning The Scale of Sacred Sounds.
Representation using ancient Sumerian/Babylonian/Vedic math:
32; 33; 34; 35; 36; 37; 38; 39; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 50; 51; 52; 53; 54; 55; 56; 57; 58; 59; 60; 61; 62; 63; 64
Representation using musical ratios:
1/1; 33/32; 17/16; 35/32; 9/8; 37/32; 19/16; 39/32; 5/4; 41/32; 21/16; 43/32; 11/8; 45/32; 23/16; 47/32; 3/2; 49/32; 25/16; 51/32; 13/8; 53/32; 27/16; 55/32; 7/4; 57/32; 29/16; 59/32; 15/8; 61/32; 31/16; 63/32; 2/1
The math for deriving one of the above series from the other is simple. Divide all numbers from the ancient series by the first, then simplify the fractions. Conversely, the series of ratios can be turned into the series of integers by calculating their least common denominator (the smallest whole number that is a multiple of all numbers under the fraction bar) and discarding it.
Logarithmic representation using musical constants (definition given further down):
0,000; 30,772; 60,625; 89,612; 117,783; 145,182; 171,850; 197,826; 223,144; 247,836; 271,934; 295,464; 318,454; 340,927; 362,905; 384,412; 405,465; 426,084; 446,287; 466,090; 485,508; 504,556; 523,248; 541,597; 559,616; 577,315; 594,707; 611,802; 628,609; 645,138; 661,398; 677,399; 693,147
Multi Indicators- MA, EMA, MA Cross, Parabolic SarMulti Indicators
- 3 Simple Moving Average
- 3 Exp Moving Average
- Cross of Moving Averages
- Parabolic SAR
On-Balance Volume MA CrossoversVolume-based momentum tracker. Look for divergences in price & volume momentum