Linear % ST | QuantEdgeB🚀 Introducing Linear Percentile SuperTrend (Linear % ST) by QuantEdgeB
🛠️ Overview
Linear % SuperTrend (Linear % ST) by QuantEdgeB is a hybrid trend-following indicator that combines Linear Regression, Percentile Filters, and Volatility-Based SuperTrend Logic into one dynamic tool. This system is designed to identify trend shifts early while filtering out noise during choppy market conditions.
By utilizing percentile-based median smoothing and customized ATR multipliers, this tool captures both breakout momentum and pullback opportunities with precision.
✨ Key Features
🔹 Percentile-Based Median Filtering
Removes outliers and normalizes price movement for cleaner trend detection using the 50th percentile (median) of recent price action.
🔹 Linear Regression Smoothing
A smoothed baseline is computed with Linear Regression to detect the underlying trend while minimizing lag.
🔹 SuperTrend Structure with Adaptive Bands
The indicator implements an enhanced SuperTrend engine with custom ATR bands that adapt to trend direction. Bands tighten or loosen based on volatility and trend strength.
🔹 Dynamic Long/Short Conditions
Long and short signals are derived from the relationship between price and the SuperTrend threshold zones, clearly showing trend direction with optional "Long"/"Short" labels on the chart.
🔹 Multiple Visual Themes
Select from 6 built-in color palettes including Strategy, Solar, Warm, Cool, Classic, and Magic to match your personal style or strategy layout.
📊 How It Works
1️⃣ Percentile Filtering
The source price (default: close) is filtered using a nearest-rank 50th percentile over a custom lookback. This normalizes data to reflect the central tendency and removes noisy extremes.
2️⃣ Linear Regression Trend Base
A Linear Regression Moving Average (LSMA) is applied to the filtered median, forming the core trend line. This dynamic trendline provides a low-lag yet smooth view of market direction.
3️⃣ SuperTrend Engine
ATR is applied with custom multipliers (different for long and short) to create dynamic bands. The bands react to price movement and only shift direction after confirmation, preventing false flips.
4️⃣ Trend Signal Logic
• When price stays above the dynamic lower band → Bullish trend
• When price breaks below the upper band → Bearish trend
• Trend direction remains stable until violated by price.
⚙️ Custom Settings
• Percentile Length → Lookback for percentile smoothing (default: 35)
• LSMA Length → Determines the base trend via linear regression (default: 24)
• ATR Length → ATR period used in dynamic bands (default: 14)
• Long Multiplier → ATR multiplier for bullish thresholds (default: 0.8)
• Short Multiplier → ATR multiplier for bearish thresholds (default: 1.9)
✅ How to Use
1️⃣ Trend-Following Strategy
✔️ Go Long when price breaks above the lower ATR band, initiating an upward trend
✔️ Go Short when price falls below the upper ATR band, confirming bearish conditions
✔️ Remain in trend direction until the SuperTrend flips
2️⃣ Visual Confirmation
✔️ Use bar coloring and the dynamic bands to stay aligned with trend direction
✔️ Optional Long/Short labels highlight key signal flips
👥 Who Should Use Linear % ST?
✅ Swing & Position Traders → To ride trends confidently
✅ Trend Followers → As a primary directional filter
✅ Breakout Traders → For clean signal generation post-range break
✅ Quant/Systematic Traders → Integrate clean trend logic into algorithmic setups
📌 Conclusion
Linear % ST by QuantEdgeB blends percentile smoothing with linear regression and volatility bands to deliver a powerful, adaptive trend-following engine. Whether you're a discretionary trader seeking cleaner entries or a systems-based trader building logic for automation, Linear % ST offers clarity, adaptability, and precision in trend detection.
🔹 Key Takeaways:
1️⃣ Percentile + Regression = Noise-Reduced Core Trend
2️⃣ ATR-Based SuperTrend = Reliable Breakout Confirmation
3️⃣ Flexible Parameters + Color Modes = Custom Fit for Any Strategy
📈 Use it to spot emerging trends, filter false signals, and stay confidently aligned with market momentum.
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
חפש סקריפטים עבור "Volatility"
[blackcat] L1 Reverse Choppiness IndexThe Choppiness Index is a technical indicator that is used to measure market volatility and trendiness. It is designed to help traders identify when the market is trending and when it is choppy, meaning that it is moving sideways with no clear direction. The Choppiness Index was first introduced by Australian commodity trader E.W. Dreiss in the late 1990s, and it has since become a popular tool among traders.
Today, I created a reverse version of choppiness index indicator, which uses upward direction as indicating strong trend rather than a traditional downward direction. Also, it max values are exceeding 100 compared to a traditional one. I use red color to indicate a strong trend, while yellow as sideways. Fuchsia zone are also incorporated as an indicator of sideways. One thing that you need to know: different time frames may need optimize parameters of this indicator. Finally, I'd be happy to explain more about this piece of code.
The code begins by defining two input variables: `len` and `atrLen`. `len` sets the length of the lookback period for the highest high and lowest low, while `atrLen` sets the length of the lookback period for the ATR calculation.
The `atr()` function is then used to calculate the ATR, which is a measure of volatility based on the range of price movement over a certain period of time. The `highest()` and `lowest()` functions are used to calculate the highest high and lowest low over the lookback period specified by `len`.
The `range`, `up`, and `down` variables are then calculated based on the highest high, lowest low, and closing price. The `sum()` function is used to calculate the sum of ranges over the lookback period.
Finally, the Choppiness Index is calculated using the ATR and the sum of ranges over the lookback period. The `log10()` function is used to take the logarithm of the sum divided by the lookback period, and the result is multiplied by 100 to get a percentage. The Choppiness Index is then plotted on the chart using the `plot()` function.
This code can be used directly in TradingView to plot the Choppiness Index on a chart. It can also be incorporated into custom trading strategies to help traders make more informed decisions based on market volatility and trendiness.
I hope this explanation helps! Let me know if you have any further questions.
VIX Monitor [Zero54]NSE:BANKNIFTY1!
This is a simple but invaluable tool for both day traders and positional traders. VIX is about market expectations of volatility
The VIX is a very good and sound measure of risk in the markets. It gives these stock traders who are in intraday trading and short term traders an idea of whether the volatility is going up or going down in the market. They can calibrate their strategy accordingly. When the volatility is likely to shoot up sharply, the intraday traders run the risk of stop losses getting triggered quickly. Hence they can either reduce their leverage or they can widen their stop losses accordingly.
Also if you notice VIX is a very good and reliable gauge of index movement. If you plot the VIX and the Nifty movement you will see a clear negative correlation in the charts itself. Markets typically tend to peak out when the VIX is bottoming out and the markets tend to bottom out when the VIX is peaking out. This is a useful input for index trades.
You can use this simple indicator to monitor VIX real time. You can use it for short time frame intraday and also multi-hour, multi-day charts. You can also plot a moving average to gauge the VIX trend.
Also is the ability to monitor, Nifty and BankNifty the same way you are able to monitor the VIX (as explained above). The overall market moves in correlation with these main Indexes. So if you are trading a specific counter, you can also keep an eye on the index to get an idea where the counter may be going next.
The source code is open, please feel to modify or re-use as you feel it’s necessary. Any changes, improvements, bugs, please let me know.
Please like/boost this indicator and also add your comments, if you find it useful.
HPK Crash IndicatorFrom Hari P. Krishnan's book, The Second Leg Down: Strategies for Profiting after a Market Sell-Off :
"We start by specifying the year on year (YoY) change in the index. Next, we calculate the 5 year trailing Z score of the YoY returns. We also calculate the 5 year trailing Z score of 1 month historical volatility for the index, using daily returns. Our crisis warning indicator flashes if both Z scores are above 2. In other words, recent price increases and current volatility need to be at least 2 standard deviations above normal.
It can be seen that this basic implementation is reasonably effective, accepting that the effective sample set is small. A false signal is given in mid-2006, but the signal is quickly washed away. The remaining signals occur fairly close to the point of collapse. The idea that elevated volatility is predictive of danger is not new and underpins many asset allocation schemes. However, Sornette deserves credit for moving away from a largely valuation-based approach to predicting crises to one that relies upon price action itself."
vertical_pricer
USAGE
1. Select the type of contract (call or put), the long strike, and the width.
2. Select the volatility model
3. The standard deviation is shown, enter it into the input.
The tool gives a theoretical price of a vertical spread, based on a
historical sample. The test assumes that a spread of equal width was sold on
every prior trading day at the given standard deviation, based on the
volatility model and duration of the contract. For example, if the 20 dte
110 strike is presently two standard deviations based on the 30 period
historical volatility, then the theoretical value is the average price all
2SD (at 20 dte) calls upon expiration, limited by the width of the spread and
normalized according to the present value of the underlying.
Other statistics include:
- The number of spreads in the sample, and percentage expired itm
- The median value at expiration
- The Nth percentile value of spreads at expiration
- The number of spreads that expired at max loss
Check the script comments and release notes for further updates, since Tradingview doesn't allow me to edit this description.
Efficient Trend Step Mod (v.3)This is a version 3 of my mod of the script by alexgrover - Efficient Trend Step.
The logic is based on calculation of Kaufman's efficiency ratio (ER):
ER = Direction / Volatility
where:
Direction = ABS (Close – Close )
Volatility = n ∑(ABS(Close – Close ))
n = The efficiency ratio period.
This version features volatility and volume filter and custom performance module.
Combo VIX and DXYHello traders
It's been a while :)
I wanted to share a cool script that you can use for any asset class.
The script isn't really special - though what it displays is super helpful
Volatility Index $VIX
(Source: Wikipedia)
VIX is the ticker symbol and the popular name for the Chicago Board Options Exchange's CBOE Volatility Index, a popular measure of the stock market's expectation of volatility based on S&P 500 index options.
It is calculated and disseminated on a real-time basis by the CBOE, and is often referred to as the fear index or fear gauge.
I consider that a $VIX above 30% is a very bearish signal.
Above 30% translating investors selling in masse their assets. #blood #on #the #street
Dollar Index $DXY
(Source: Wikipedia)
The U.S. Dollar Index (USDX, DXY, DX, or, informally, the "Dixie") is an index (or measure) of the value of the United States dollar relative to a basket of foreign currencies, often referred to as a basket of U.S. trade partners' currencies.
The Index goes up when the U.S. dollar gains "strength" (value) when compared to other currencies.
The index is designed, maintained, and published by ICE (Intercontinental Exchange, Inc.), with the name "U.S. Dollar Index" a registered trademark.
It is a weighted geometric mean of the dollar's value relative to following select currencies:
Euro (EUR), 57.6% weight
Japanese yen (JPY) 13.6% weight
Pound sterling (GBP), 11.9% weight
Canadian dollar (CAD), 9.1% weight
Swedish krona (SEK), 4.2% weight
Swiss franc (CHF) 3.6% weight
In "bear markets", the $DXY usually goes up.
People are selling their hard assets to get some $USD in return - pumping the $DXY higher
Corollary
I'm not sure which one happens first between a bearish $DXY or bearish $DXY... though both are usually correlated
If:
- $VIX goes above 30%, usually $DXY increases and assets versus the good old' $USD drop
- $VIX goes below 30%, usually $DXY decreases and assets versus the good old' $USD increases
This is a nice lever effect between both the $VIX, $DXY and the assets versus the $USD
That's being said, I don't only use those 2 information to enter in a trade.
It gives me though a strong confirmation whenever I'm long or short
Imagine I get a LONG signal but the combo $VIX + $DXY is bearish... this tells me to be cautious and to:
- enter at a pullback
- protect my position quickly at breakeven
- take my profit quick
For a mega bull market (some called it hyperinflation), you want your fiat to drop in value for the counter-asset to increase in value.
And before you ask.... yes I look at what $DXY is doing before taking a trade on $BTCUSD :)
In other words, $DXY going down is quite bullish for Bitcoin.
Settings and Alerts
The settings by default are the ones I use for my trading.
The background colors will be colored whenever the COMBO is bullish (green) or bearish (red)
Alerts are enabled using the brand new alert function published last week by @TradingView
That's it for today, I hope you'll like it :)
PS: In this chart above, I'm using the Supertrend indicator from @KivancOzbilgic
Dave
VOLatiliUMThis is a useful conjunction of volume and volatility together in one script, so I named it a blended name!
It can show the diagram of:
- Volume
- Volume Variation (Volume - Past Volume)
- Volume Density (Volume / (High - Low))
- Volatility in combination with the aforesaid ones
It also offers two concepts of bar colorizing, by using the size of the bars or by applying volatility from a higher time frame (HTF).
The option "Absolute Bar Values" is included for the ones who like to see all bars positive above the zero line!
Feel free to use the script and send me your opinions. Thanks.
Sigma Spike Filtered Binned OPR ( Adam H. Grimes )As originally described by Adam H. Grimes.
For analyzing the location of Open within the day's range (OPR). The OPR histogram displays the binned distribution of OPR values for the chart history. Fat tails at the extremes indicates that Open occurred more often close to the day's high or low.
The OPR results are filtered according to volatility using Grime's Sigma Spike. So that OPR values are only recorded when volatility exceeds a threshold (relative high range days).
This may (strong emphasis on may) indicate the opportunity for trades early in the day on days that begin with a high amount of relative volatility and trading with the direction that price is moving away from the open.
72s: Adaptive Hull Moving Average+One challenging issue for beginner traders is to differentiate market conditions, whether or not the current market is giving best possibility to stack profits, as earliest, in shortest time possible, or not.
On intraday, we've seen some big actions by big banks are somewhat can be defined --or circling around-- by HMA 200 . I've been thinking on to make the visuals more conform to price dynamics (separating major movement and minor noise) to get clearer signs of when it starts to happen. So it will be easier to see in a glance when the strength starts really taken place, with less cluttered chart.
This Adaptive HMA is using the new Pine Script's feature which now support Dynamic Length arguments for several Pine functions. ( read: www.tradingview.com). It hasn't support the built-in HMA() directly, but thankfully we can use its wma() formula to construct. (Note: I tweaked a bit HMA formula already popular here by using plain int() instead of round() on its wma's length, since I find it precisely match tradingview's built-in HMA).
You can choose which aspect the Adaptive HMA period will adapt to.
In this study I present it with two options: Volume and Volatility . It will "moves" faster or slower depends on which situation the aspect is currently into. ie: When volume is generally low or volatile readings is not there, price won't move very much, so the adapting MA will slow down by dynamically lengthen the lookback period, and vice versa, and so on.
Colour-markings in the Adaptive resembles which situation explained above. In addition, I also combine it with slope calculation of the MA to help measuring trend-strength or sideway/choppy conditions.
This way when we use it as dynamic support/resistance it will be more visually-reliable.
Secondly, and more important, it might help us traders with better probability info of whether or not a trade should even worth to be made . ie: If in the mean time market won't give much movement, any profit would also only as much. In most cases, we might better save our dime for later or place it somewhere else.
HOW TO USE:
Aside from better dynamic support/resistance and clearer breakout confirmation, MA is coloured as follow:
YELLOW:
Market is in consolidation or flat. Be it sideways, choppy, or in relatively small movements. If it shows up in a trending market, it may be an earlier sign that current trend might about to change its direction, or confirming a price broke-out to another side.
LIGHT GREEN or LIGHT RED:
Tells if a trend is forming but still relatively weak (or getting weaker), as it doesn't have volume or volatility to support.
DARKER GREEN ot DARKER RED:
This is where we can expect some good and strong price movement to ride. If it's strong enough, many times it marks a start of new long-lasting major trend.
SETTINGS:
Charger:
Choose which aspect your HMA should plug itself into, thus it will adapt to it.
Minimum Period, Maximum Period:
172 - 233 is just my own setting to outmatch the static HMA 200 for intraday. I find it --in my style of trading-- best in 15m tf in almost any pair, and 15m to 1H for some stocks. It also works nicely with conventional EMA 200, sometimes as if they somewhat work hand-in-hand in defining where the price should go. But you can, ofcourse, experiment with other ranges, broader or narrower. Especially if you already have an established strategy to follow to. As you might do with:
Consolidation area threshold:
This has to do with slope calculation. The bigger the number means your MA needs bigger degree to define the market is out of flat (yellow) area. This can be useful if needed to lighten up the filter or vice-versa.
Background colouring:
Just another colouring to help highlighting the difference in market conditions.
ALERTS:
There are two alerts:
Volume Break: when volume is breaking up above average, and
Volatility Meter: when the market more likely is about to have its moment of the big wiggling brush.
USAGE:
Very very nice BUY entry to catch big up-movement if:
1. Price is above MA. (It is best when price is also not to far distance from the MA, or you can also use distance oscillator to help out too)
2. HMA's color is in darker green. Means it's on the charging plug with your chosen aspect.
3. RSI is above 50. This is to help as additional confirmation.
Clear SELL entry signal is same as above, just the opposite.
-------------------------------------------------------
Note:
Lower timeframe of course means more noise to be filtered. Depends on the instrument, you might need to tweak the settings a bit till it conform nicely and shows lots of good trades in history. Here's another example on GBPUSD 5m timeframe:
For exit/take-profit point, you can use a second faster period static HMA. Or you can also use RSI. Here's an example:
Don't get me wrong, on few occasions I found it's still best using static MA to spot fakeouts, breakouts, etc, especially ones that's been already use widely. If that's the case or price actions seems suspicious, simply put the same value for minimum and maximum period settings, and there you have the original HMA with extra features.
For developer, check in the code if you need to customise your own charger.
-------------------------------------------------------
That's it. Hopefully this Adaptive HMA+ could at least be a good sidekick to your own strategy, as it does mine. ;)
Twin Range Filter Algo@Colinmck used two different ranges to generate signals. Read his release notes to find out what the original script does.
I added one condition which seems to increase performance on 15m BTCUSD as well as 1h BTCUSD and that is ATR with 32 periods being smaller than ATR with 64 periods. I used my script Volatility Optimiser to discover this tendency.
Both buying and selling conditions are same as in @Colinmck's script plus one condition of my own. You can disable my condition.
Target and stop-loss are manually set values in ticks.
Time stop-loss is manually set value in a number of candles. After this number of candles, a position always exits (or should 😇). You can disable it by inserting a very long period. I do not recommend it, because a value of indicator should not be measured in luck and if market starts moving in the direction after 40 periods, the predictive capability of an indicator is questionable.
I used 300/150/17 for 15m BTCUSD chart and 900/30/17 for 1h BTCUSD. I didn't try to optimize any other parameters for these periods.
Since this script relies mostly on volatility for its prediction, I wouldn't recommend using it on its own. Individual approach to the market is recommended. Also, it didn't work on EURUSD when using the same default values and different order management (tp, sl, time sl), so it is probably not as versatile.
Let me know what do you think of this strategy. If you have some ideas about how to make it more reliable, share it in the comments, I might put it to the test. Good luck 🍀
V/V weighted ma - JDAs a third new weighted moving average I present the Volume-Volatility Weighted Moving Average.
The Volume-Volatility Weighted Moving Average (VVwma) calculates the average price over a certain period,
weighted by both volume and volatilty, Big volume doesn't necessarily move price a lot but is very important,
big price moves don't always need big volume but also have a lot of importance!
In this indicator both big volume moves as well as big price moves are factored in to calculate the ma behaviour.
The ma has a tendancy to quickly give an indication of a ranging vs trending market by angle of the ma.
In ranging market it quickly flattens out and could be used to filter out insignificant low volume/volatility moves
compared to regular ma's or the standard volume weighted ma
Another use of it could be as entry/exit signals or
as a means of a trailing stop or a hard exit for a strategy or
as a "baseline" to combine with other signals
feel free to experiment!!!
If you use the VVwma in your scripts or your work, a shoutout would be nice!!
Gr, JD.
#NotTradingAdvice #DYOR
Volatility weighted maThe next in my series of weighted moving averages is the Volatility Weighted Moving Average.
The Volatility Weighted Moving Average (Volwma) calculates the average price over a certain period,
contrary to the well known Volume weighted ma, it is weighted by volatilty,
meaning big price moves don't always need big volume but also have a lot of importance!
In this indicator these big price moves are factored in to calculate the ma behaviour.
As the ma is quite biased on price moves it can quickly give an indication of a ranging vs trending market by angle of the ma.
In ranging market it quickly flattens out and could be used to filter out insignificant low volatility moves
compared to regular ma's or the standard volume weighted ma
Another use of it could be as entry/exit signals or
as a means of a trailing stop or a hard exit for a strategy or
as a "baseline" to combine with other signals
feel free to experiment!!!
If you use the Volwma in your scripts or your work, a shoutout would be nice!!
Gr, JD.
#NotTradingAdvice #DYOR
ATR Percentage of PriceThis indicator takes the standard ATR and expresses it as a percentage of the OHLC4 price. This has the advantage of normalising the ATR value across the history of an asset. For example, an ATR of value 20 when the price is 2000 actually has a very different meaning when the price rises to 4000. The ATR may be the same value but actually the volatility it represents has halved.
I also add an SMA to the value and a histogram which shows the difference between the two. Positive values mean that volatility is expanding while negative values mean volatility is contracting.
SUPERTREND ATR WITH TRAILING STOP LOSS## THIS SCRIPT IS ON GITHUB
## MORE BACKTEST
SuperTrend is a moving stop and reversal line based on the volatility (ATR).
The strategy will ride up your stop loss when price moviment 1%.
The strategy will close your operation when the market price crossed the stop loss.
The strategy will close operation when the line based on the volatility will crossed
The strategy has the following parameters:
+ **ATR PERIOD** - To select number of bars back to execute calculation
+ **ATR MULTPLIER** - To add a multplier factor on volatility
+ **INITIAL STOP LOSS** - Where can isert the value to first stop.
+ **POSITION TYPE** - Where can to select trade position.
+ **BACKTEST PERIOD** - To select range.
## DISCLAIMER
1. I am not licensed financial advisors or broker dealers. I do not tell you when or what to buy or sell. I developed this software which enables you execute manual or automated trades multiple trades using TradingView. The software allows you to set the criteria you want for entering and exiting trades.
2. Do not trade with money you cannot afford to lose.
3. I do not guarantee consistent profits or that anyone can make money with no effort. And I am not selling the holy grail.
4. Every system can have winning and losing streaks.
5. Money management plays a large role in the results of your trading. For example: lot size, account size, broker leverage, and broker margin call rules all have an effect on results. Also, your Take Profit and Stop Loss settings for individual pair trades and for overall account equity have a major impact on results. If you are new to trading and do not understand these items, then I recommend you seek education materials to further your knowledge.
**YOU NEED TO FIND AND USE THE TRADING SYSTEM THAT WORKS BEST FOR YOU AND YOUR TRADING TOLERANCE.**
**I HAVE PROVIDED NOTHING MORE THAN A TOOL WITH OPTIONS FOR YOU TO TRADE WITH THIS PROGRAM ON TRADINGVIEW.**
## NOTE
I accept suggestions to improve the script.
If you encounter any problems i will be happy to share with me.
+ Authors: @exit490
+ Revision: v1.0.0
+ Date: 5-Aug-2019
+ Pinescript version: 4
## LICENSE
Copyright 2019 Mauricio Pimenta / exit490
SuperTrend with Trailing Stop Loss script may be freely distributed under the (../LICENSE).
Dorsey InertiaThis indicator was originally developed by Donald Dorsey (Stocks & Commodities, V.13:9 (September, 1995): "Refining the Relative Volatility Index").
Inertia is based on Relative Volatility Index (RVI) smoothed using linear regression.
In physics, inertia is the tendency of an object to resist to acceleration. Dorsey chose this name because he believes that trend and inertia are related and that it takes more effort and energy to reverse the direction of a stock or market than to keep it in the same direction. He argues that the volatility is the simplest and most accurate measure of inertia.
When the indicator is below 50, it signals bearish market sentiment and when the indicator is above 50 it signals a bullish trend.
Good luck!
Moving CovarianceCo-variance is a representation of the average percent data points deviate from there mean. A standard calculation of Co-variance uses One standard Deviation. Using the empirical rule, we can assume that about 68.26% of Data points lie in this range.
The advantage to plotting co variance as a time series is that it will show you how volatility of a trailing period changes. Therefore trend lines and other methods of analysis such as Fibonacci retracements could be applied in order to generate volatility targets.
For the purpose of this indicator I have the mean using a vwma derived from vwap. This makes this measurement of co-variance more sensitive to changes in volume, likewise are more representative a change in volatility, thus giving this indicator a "leading aspect".
Quant-Action Pro: Triple Confluence EngineQuant-Action Pro: Triple Confluence Engine
Systematic Framework for Structural Price Action Analysis
Quant-Action Pro is a high-performance analytical engine designed to synchronize institutional liquidity flow with market geometry. Instead of traditional "signals," this framework identifies Structural States where three independent algorithmic layers align, providing a objective roadmap for the current price action context.
1. Core Algorithmic Matrix
The engine operates by monitoring the interaction between price and three proprietary logic layers:
A. Institutional Flow Node (SP2L) —
Logic: Monitors "Passive Liquidity Absorption" at the 20-period EMA.
Function: Identifies zones where institutional buyers/sellers are defending the trend's equilibrium. This is not a simple touch; it requires a validated "Touch-and-Hold" sequence.
B. Structural Flip Scanner (BTB) —
Logic: Detects the transition from old supply to new demand (S/R Flip).
Function: Uses a 3-phase Break-Test-Break verification to confirm that a structural breakout is backed by volume, reducing the risk of "Fake-outs."
C. Liquidity Compression Monitor (Micro Map) —
Logic: Statistical range-contraction analysis (Volatility Squeeze).
Function: Signals a High-Density State where price is coiling for an expansion move.
2. The Golden State: Triple Confluence Logic
The GOLD label represents the "Apex" of this engine. It is triggered only when the SP2L, BTB, and Micro Map layers synchronize on a single candle. In structural terms, this means:
Trend Defense (SP2L) is active.
Structural Breakout (BTB) is confirmed.
Volatility Expansion (MM) is imminent.
This Triple-Layer filtering ensures that Golden Signals only appear during periods of maximum market conviction.
3. Professional Implementation (Structural View)
MTF Trend Matrix: A built-in dashboard provides a 1H, 4H, and 1D diagnosis to ensure local setups align with the Macro Trend.
Smart Invalidation (Adaptive Trendlines): The engine draws dynamic geometry to define the current "Structural Floor/Ceiling." A decisive close beyond these lines acts as a clear Invalidation Point for the current thesis.
Mean Reversion: The system uses the 200-EMA as the primary directional filter, defining whether the market is in a "Bullish Expansion" or "Bearish Correction" state.
⚠️ Risk Disclaimer
Trading financial instruments involves significant risk. Quant-Action Pro is an educational tool designed for research and structural analysis. It does not provide financial advice. Past performance is not indicative of future results. Always use strict risk management.
Weighted ATRWeighted ATR is a volatility indicator that computes True Range and smooths it using a selectable kernel (native Wilder ATR, SMA, EMA, WMA, VWMA, or HMA). It outputs a single volatility line in price units for risk sizing, stop distances, and regime filtering.
ADR% / ATR / Dynamic LoD–HoD TableThis indicator displays a clean data table showing ADR%, ATR, and a dynamic LoD/HoD distance value based on daily trend conditions.
When price is above the 21-day or 50-day moving average, the indicator shows the distance from the Low of Day.
When price is below BOTH daily moving averages, it automatically switches to showing distance from the High of Day.
The table updates in real-time and gives a fast, volatility-based view of where price sits inside the day’s range.
Features
• ADR% (Average Daily Range Percentage)
• ATR (Average True Range)
• Automatic LoD → HoD switching based on daily trend
• Customizable colors and layout
• Clean, space-efficient table format
• Designed for intraday and volatility-focused traders
Bollinger Bands + VWAP + 4-State MACD BackgroundBollinger Bands + VWAP + 4-State MACD Background
An all-in-one technical analysis indicator combining three proven tools with an intelligent momentum-based background visualization system.
📊 FEATURES
Bollinger Bands
Standard Bollinger Bands implementation with full customization options:
Adjustable period length (default: 20)
Multiple moving average types: SMA, EMA, SMMA (RMA), WMA, VWMA
Configurable standard deviation multiplier (default: 2.0)
Visual fill between bands to highlight volatility zones
Offset capability for forward/backward display
Session VWAP (Volume Weighted Average Price)
Automatically resets at the start of each trading session:
Calculates true volume-weighted average price
Resets daily to provide fresh reference levels
Customizable source input (default: HLC3)
Adjustable line appearance (color and width)
Can be toggled on/off as needed
4-State MACD Background System
This is the unique feature of this indicator. The chart background dynamically changes based on MACD momentum analysis, providing instant visual feedback on trend strength and direction:
🟢 Strong Bullish (Bright Green)
MACD line is above signal line
Histogram is growing (momentum accelerating upward)
Indicates strong upward momentum
🟢 Weak Bullish (Pale Green)
MACD line is above signal line
Histogram is shrinking (momentum decelerating)
Early warning signal that uptrend may be weakening
🔴 Strong Bearish (Bright Red)
MACD line is below signal line
Histogram is falling (momentum accelerating downward)
Indicates strong downward momentum
🔴 Weak Bearish (Pale Red)
MACD line is below signal line
Histogram is rising (momentum decelerating)
Early warning signal that downtrend may be weakening
🎯 HOW TO USE
For Trend Trading:
Strong colored backgrounds indicate confirmed momentum in that direction - consider staying with the trend
Weak colored backgrounds signal potential momentum exhaustion - watch for possible reversals
Use VWAP as a dynamic support/resistance level
Bollinger Band breakouts combined with strong MACD backgrounds can confirm trend strength
Price above VWAP + strong bullish background = bullish bias
Price below VWAP + strong bearish background = bearish bias
For Mean Reversion:
Price touching upper/lower Bollinger Bands with weak MACD background may suggest potential reversal
VWAP acts as a mean reversion anchor during range-bound sessions
Background color shifts from strong to weak often precede price direction changes
Look for price return to VWAP when extended beyond bands with weakening momentum
Signal Confirmation:
Strongest signals occur when multiple indicators align:
BB breakout + MACD strong color + price above/below VWAP
Price rejection at BB bands + MACD color weakening
VWAP support/resistance hold + MACD color change
⚙️ SETTINGS
All components are fully customizable through organized input groups:
Bollinger Bands Group:
Period length
Moving average type (SMA/EMA/SMMA/WMA/VWMA)
Source (close/open/high/low/etc.)
Standard deviation multiplier
Offset
VWAP Group:
Toggle show/hide
Source calculation method
Line color
Line width
MACD Group:
Toggle background on/off
Fast length (default: 12)
Slow length (default: 26)
Signal length (default: 9)
Source
Four separate color settings for each momentum state
All colors include transparency controls
💡 EDUCATIONAL VALUE
This indicator teaches important concepts:
How volatility (Bollinger Bands) relates to price movement
The importance of volume-weighted pricing (VWAP)
Momentum analysis through MACD
How combining multiple timeframes and indicators can provide confluence
The difference between trend strength and trend direction
⚠️ IMPORTANT NOTES
This indicator is for educational and informational purposes only
No indicator is perfect - always use proper risk management
Past performance does not guarantee future results
Combine with your own analysis and risk tolerance
Test thoroughly on historical data before live trading
This is not financial advice - use at your own risk
🔧 TECHNICAL DETAILS
Pine Script Version 6
Overlay indicator (displays on price chart)
All calculations use standard, well-documented formulas
Minimal lag due to efficient coding
Compatible with all timeframes and instruments
No repainting - all signals are confirmed on bar close
📝 CHANGELOG
Version 1.0
Initial release
Bollinger Bands with multiple MA types
Session VWAP with daily reset
4-state MACD background system
Full customization options
Developed for traders who want multiple confirmation signals in a clean, organized format without cluttering their charts with separate indicator panels.
@Complete Squeeze Cycle Detector v2.0 FINALDescription:
The Complete Squeeze Cycle Detector identifies and tracks the full lifecycle of squeeze formations, from pre-squeeze consolidation through active squeeze periods to squeeze completion. The indicator systematically detects the characteristic conditions that precede and accompany squeeze events.
The indicator monitors multiple factors associated with squeeze development including:
• Volatility compression relative to recent volume activity
• Elevated market stress conditions as measured by VIX levels
• Momentum compression through rate of change measurements across multiple time periods
• Alignment of multiple exponential moving averages indicating consolidation
The squeeze cycle is classified into three distinct phases: Pre-Squeeze Setup, Active Squeeze, and Squeeze Complete. Each phase is identified based on threshold levels of multiple compression metrics, with adjustable sensitivity settings to control the strictness of detection.
The indicator provides visual identification of each phase through labels, background coloring, and an optional dashboard, allowing users to distinguish between the preparation phase where volatility contracts, the active squeeze phase where compression reaches critical levels, and the completion phase where the squeeze releases and directional movement resumes.
This systematic approach enables users to identify squeeze formations throughout their complete development cycle rather than focusing only on the breakout phase.
XAUUSD Pro Setup Suite manuel_lnt.fx is an advanced Pine Script v6 indicator designed exclusively for XAUUSD, built to automatically detect the 5 highest-probability setups in gold day trading.
It combines institutional price action, volatility patterns, mean reversion logic, and momentum confirmation to generate clean, filtered, and actionable signals.
The indicator automatically detects:
⸻
1️⃣ Break & Retest Premium (BR)
Identifies valid breaks of key levels and signals the retest with rejection wick, EMA20 trend confirmation, and neutral RSI.
→ Excellent for trend continuation.
⸻
2️⃣ Fakeout Liquidity Trap (FO)
Detects liquidity grabs above highs or below lows with an opposite close + engulfing candle confirmation.
→ The strongest setup for fast and explosive reversals on gold.
⸻
3️⃣ MACD Zero-Line Shift (MACD)
Signals when the MACD crosses the zero line while price breaks micro-structure.
→ Perfect for spotting the start of a new trend.
⸻
4️⃣ Bollinger Squeeze → Breakout (BB)
Recognizes volatility compression and signals when a breakout is likely to explode.
→ Ideal for clean breakout trades.
⸻
5️⃣ Mean Reversion on EMA50 (MR)
Highlights price extensions far away from the EMA50 with ATR confirmation and a reversal candle.
→ Great for pullbacks back toward the mean value.
