Nadaraya-Watson Envelope: Modified by YosietRange Filter indicator based on the LuxAlgo Nadaraya-Watson Envelope () indicator adding the SMA 30 high and SMA 7 low to predict the changes of the trends lines price.
WARNING: This indicator, as the same as the original, repaints the chart and could affect the exact values of the prices.
SMA Low 7 was identified using tensorflowJS years ago as accurate and abstract rsi indicator
SMA High 30 was identified using tensorflowJS years ago as accurate and strong trend line
This two SMAs were added to the original indicator Nadaraya-Watson to predict the exact points where the price will change direction or will re-test the trend to continue on.
The signals will act as the Williams Fractals, replacing the original signals of the indicator.
For those ICT/SMC traders, the bands and SMAs can toggle off in the settings of this indicator.
SETTINGS
Can set the source of the UPPER band indivuadilly
Can set the source of the LOWER band indivuadilly
Can toggle the visibility of the bands, this will not affect the calculations
Can toggle the visibility of SMAs
ALERTS AND SIGNALS
When the SMA LOW 7 cross under or over the bands, will trigger a signal orange
When the SMA 30 High cross over the upper band, will trigger a short signal purpple
HOW TO USE IT
If the both signals appears (sma 7 low and sma 30 high) crossing the upper band at the same point, this means that the price will drop strongly.
If the sma 7 low cross signal (orange triangle) appears under the price and lower band, means that the price will go up.
The separation of the signals from the chart will suggest the force of the movement. While more distance be, strongest reaction of the price.
DISCLAIMER : This indicator or script does not imply or constitute financial advice, investment advice, trading advice or any other type of advice or recommendation by and for TradingView. Use it at your own risk and your own decision.
在脚本中搜索"bands"
Bitcoin wave modelBitcoin wave model is based on the logarithmic regression model and the sinusoidal waves, induced by the halving events.
This chart presents the outcome of an in-depth analysis of the complete set of Bitcoin price data available from October 2009 to August 2023.
The central concept is that the logarithm of the Bitcoin price closely adheres to the logarithmic regression model. If we plot the logarithm of the price against the logarithm of time, it forms a nearly straight line.
The parameters of this model are provided in the script as follows: log (BTCUSD) = 1.48 + 5.44log(h).
The secondary concept involves employing the inherent time unit of Bitcoin instead of days:
'h' denotes a slightly adjusted time measurement intrinsic to the Bitcoin blockchain. It can be approximated as (days since the genesis block) * 0.0007. Precisely, 'h' is defined as follows: h = 0 at the genesis block, h = 1 at the first halving block, and so forth. In general, h = block height / 210,000.
Adjustments are made to account for variations in block creation time.
The third concept revolves around investigating halving waves triggered by supply shock events resulting from the halvings. These halvings occur at regular intervals in Bitcoin's native time 'h'. All halvings transpire when 'h' is an integer. These events induce waves with intervals denoted as h = 1.
Consequently, we can model these waves using a sin(2pih - a) function. The parameter determining the time shift is assessed as 'a = 0.4', aligning with earlier expectations for halving events and their subsequent outcomes.
The fourth concept introduces the notion that the waves gradually diminish in amplitude over the progression of "time h," diminishing at a rate of 0.7^h.
Lastly, we can create bands around the modeled sinusoidal waves. The upper band is derived by multiplying the sine wave by a factor of 3.1*(1-0.16)^h, while the lower band is obtained by dividing the sine wave by the same factor, 3.1*(1-0.16)^h.
The current bandwidth is 2.5x. That means that the upper band is 2.5 times the lower band. These bands are forming an exceptionally narrow predictive channel for Bitcoin. Consequently, a highly accurate estimation of the peak of the next cycle can be derived.
The prediction indicates that the zenith past the fourth halving, expected around the summer of 2025, could result in prices ranging between 200,000 and 240,000 USD.
Enjoy the mathematical insights!
Smoothing ATR bandThere are two bands calculated with the ATR and I added "Smoothing" into the script.
Smoothing ATR with multiplier can display two bands above and below the price.
We can ONLY find some ATR bands in Community Scripts with "Basic" setting which is used to set Stop Loss.
And yet , Smoothing ATR with multiplier is capable of making traders manifestly recognize OverBought & OverSold.
FurtherMore, I added a condition with "plotshape", which is "Stop Hunt"
Stop Hunt is an absolutely usual strategy to clean the leverage and it always makes high volatility moves.
When high> above band and close< above band , long signal, it means it had been abundantly bought but the larger traders weren't satisfied; therefore, they quickly sold out to lower the price. The sell condition is on the contrary.
The signals mainly make traders manifestly recognize OverBought & OverSold.
Greedy DCA█ OVERVIEW
Detect price crashes in volatile conditions. This is an indicator for a greedy dollar cost average (DCA) strategy. That is, for people who want to repeatedly buy an asset over time when its price is crashing.
█ CONCEPTS
Price crashes are indicated if the price falls below one or more of the 4 lower Bollinger Bands which are calculated with increasing multipliers for the standard deviation.
In these conditions, the price is far below the average. Therefore they are considered good buying opportunities.
No buy signals are emitted if the Bollinger Bands are tight, i.e. if the bandwidth (upper -lower band) is below the value of the moving average multiplied with a threshold factor. This ensures that signals are only emitted if the conditions are highly volatile.
The Bollinger Bands are calculated based on the daily candles, irrespective the chart time frame. This allows to check the strategy on lower time frames
Nadaraya-Watson: Envelope (Non-Repainting)Due to popular request, this is an envelope implementation of my non-repainting Nadaraya-Watson indicator using the Rational Quadratic Kernel. For more information on this implementation, please refer to the original indicator located here:
What is an Envelope?
In technical analysis, an "envelope" typically refers to a pair of upper and lower bounds that surrounds price action to help characterize extreme overbought and oversold conditions. Envelopes are often derived from a simple moving average (SMA) and are placed at a predefined distance above and below the SMA from which they were generated. However, envelopes do not necessarily need to be derived from a moving average; they can be derived from any estimator, including a kernel estimator such as Nadaraya-Watson.
How to use this indicator?
Overall, this indicator offers a high degree of flexibility, and the location of the envelope's bands can be adjusted by (1) tweaking the parameters for the Rational Quadratic Kernel and (2) adjusting the lookback window for the custom ATR calculation. In a trending market, it is often helpful to use the Nadaraya-Watson estimate line as a floating SR and/or reversal zone. In a ranging market, it is often more convenient to use the two Upper Bands and two Lower Bands as reversal zones.
How are the Upper and Lower bounds calculated?
In this indicator, the Rational Quadratic (RQ) Kernel estimates the price value at each bar in a user-defined lookback window. From this estimation, the upper and lower bounds of the envelope are calculated based on a custom ATR calculated from the kernel estimations for the high, low, and close series, respectively. These calculations are then scaled against a user-defined multiplier, which can be used to further customize the Upper and Lower bounds for a given chart.
How to use Kernel Estimations like this for other indicators?
Kernel Functions are highly underrated, and when calibrated correctly, they have the potential to provide more value than any mundane moving average. For those interested in using non-repainting Kernel Estimations for technical analysis, I have written a Kernel Functions library that makes it easy to access various well-known kernel functions quickly. The Rational Quadratic Kernel is used in this implementation, but one can conveniently swap out other kernels from the library by modifying only a single line of code. For more details and usage examples, please refer to the Kernel Functions library located here:
[Floride] 4 Layers of Bollinger Shadow
This is the indicator I named 4LBS. That means four layers of bollinger shadow.
This is an indicator that I made to see how far past prices could affect the future prices.
And I found some very interesting and beautiful things about it, and I wanted to share them with you, so I publish this indicator.
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Hello, nice to meet you all. my name as a trader is Floride.
First of all, I am not good at English, so there may be many grammatically incorrect sentences below.
I ask for your understanding in advance. Thanks for your understanding.
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What is it?
bollinger Bands usually has one moving average line. And there's two bands that uses same period value of standard deviation as the former MA. And this indicator, by the way, has a 4 shadow bands
that uses twice,three,four,five time the value of the MA's period.
Appearance -
This indicator has four layers, and there are also other layers between them.
You can turn on or off all the shadow layers.
Uses of Indicator and Examples
examples of actual use
1. market strongness diagnosis
-It seems all layers of shadow has some degree resist/support forces.
This indicator has the 4th layer - "L4". (indicated by red lines).
I saw emergence of volatility quite frequently when this last layer breaks through.
When price breaks through this area or line, shade appear on the L4 layer in red. and red cross appear on the that point. This is I called Marlin signal.
If you saw red color shadow in this indicator, then the market may have quite high volatility.
(of course, there's not 100%. Please be careful about this.)
But I've also checked in quite several markets. when this volatility emerges, then also that market seems to started to building quite directional power afterwards.
I mean, after the marlin signal, market tends to have bigger volatility, and tends to go one direction.
again, it's not 100%. but probability is quite high.
But maybe depending on the type of market you need some adjustment.
Recommended values are M2-1.618, M3-2.618
Or M2-1, M3-2. default value is M2-1.618, M3-2.618
and also, if prices breakthrough the channels, or layers, It tends to break through the at once, in first bar. In other words, if price don't break through the first or second candle, it's very likely that the price won't break through channel for the time being.
2. market weakness diagnosis
Usually, without external momentum, the price converges to the average value and does not deviate from the band. And if price fails to break through the most inner first layer-"L1 - the green channel", In that case, the market is usually assumed to be weak, or has low volatility.
- you can set alarms on tuna, marlin signal. and you don't have to watch chart all the time.
3. Signals
I put two signals in this indicator.
One has the name "Tuna," and the second has the name "Marlin."
As you can already tell from the name's feeling, tuna is a weaker signal and marlin is a stronger signal.
Actual example of a signal
1. Tuna signal
- When the tuna signal appears, you can guess that the current market is generally not weak. or has quite good directional force. or medium volatility.
Below is important.
- If a tuna signal appears, there is a possibility that a marlin will appear later.
- In my opinion, it might be wise not to have a position without a tuna signal.
- Almost all of the marlin signal appeared shortly after the tuna signal appeared.
2. Marlin signal
- When marlin signal appears, with a high probability, volatility can increase large.
- In the backtesting of the stock, in some cases, the market moved quite frequently in the direction of the marlin signal.
- The emergence of marlin can be seen as a pretty strong indication of the emergences of direction.
MTF Fair Value Gap Indicator ULTRAFVG Fair Value Gap Indicator
FVG's commonly known as Fair Value Gaps are mostly in use for forex trading, however it’s been widely used in price action trading, even on regular large cap stocks. Think of it as an imbalance area where the price of the stock may actually be under/over valued due to many orders being injected in a short amount of time, ie . a gap caused by an impulse created by the speed of the price movement. In essence, the FVG can become a kind of magnet drawing the price back to that level to attempt to balance out the orders (when? we don't know). Please do research to understand the concept of FVG's.
You can look for an opportunity as price approaches the FVG for entry either long/short because after all, it is an "Area of Interest" so the price will either bounce or blow through the area. No indicator works 100% of the time so take in context as just another indicator. It tends work on larger time frames best.
IMPORTANT TV RELATED LIMITATIONS: You should take the time to understand the following. A MAXIMUM of 500 boxes and labels are allowed, thus if you elect to display many different time frames of FVGs and/or select to not auto delete old Daily FVGs, the oldest FVGs will be deleted and not be seen. Additionally if you are on a smaller chart time frame (1 min), you may not see older FVGs such as Daily ones that occurred and still exist from long ago. This is due to TV limitation of 20,000 candles of history in each chart timeframe. Example: A 1 minute chart supports approximately 14 days worth of data so looking for Daily FVGs would only go back that far, whereas if your chart was set to 5 minutes you'd be able to see 5 times as many, ie . 60 days worth of Daily FVG's. Obviously setting your chart and looking for Daily FVG's would support up to 20,000 days worth.
The Indicator Provides many different features:
*Creation of FVG's for all hours or just during market hours. Currently you can enable FVG’s for the following timeframes: Current chart timeframe, 5Min, 10Min, 15Min, 1Hr, 4Hr, 8Hr, Daily, Weekly, Monthly.
*Text label displays overlaying FVG bands including creation timestamps.
* Bands reflecting FVG's in action (created/deleted) for the current chart time frame, 15min, 1hr, 4hr, 8hr and daily time frames. The FVG's will be overlayed on the chart if enabled.
*Mitigation Action - Normal - When FVG is balanced out by price action, the FVG will disappear. Dynamic - The FVG band will decrease as the price movement eats into it thus only showing the remaining imbalance. None - For those that wish to retain FVG's even if they were mitigated. Half - FVG’s disappear when the price intrudes 50% of the overall FVG band zone.
*Mitigation Type - The elimination or balancing of the FVG is caused by either the candle wick or body passing completely through the FVG.
*Maximum FVGs - A maximum number of FVGs are created for each different enabled time frame (be aware setting a large number could impact system performance).
*All FVG band colors can be customized by the user.
* All FVG bands auto extend to the right.
* Intrusion Alerts - Trading View alerts are supported. You can use the indicator settings to enable an alert if the price intrudes into the FVG zone by a certain percentage. This is not related to mitigation or removal of the FVG, just a warning that price has reached the area of interest.
Refracted EMARefracted EMA is a price based indicator with bands that is built on moving average.
The price range between the bands directly depends on relationship of Average True Range to Moving Average. This gives us very valuable variable constant that changes with the market moves.
So the bands expand and contract due to changes in volatility of the market, which makes this tool very flexible exposing psychological levels.
VWAP Band TrendThis indicator combines two features: VWAP bands for range trading and trends for trend-following.
The white bands offer support/resistance levels ideal for range trading: short when rejecting off the upper band, long when rejecting off the lower. Take profit either when hitting the (faint gray) midline and/or when hitting the band on the far side.
The trend analysis shows green or red ranges above or below the bands to indicate trend strength - larger swaths of green or red indicates strong trend while shorter swathes indicate weak. If the upper trend color doesn't match the lower trend color, the trend is undecided or transitioning.
Optionally, trend initiation indicators can be turned on to show above/below candles where a trend switch is taking place.
All-in-one CPR indicator Introduction and Acknowledgement:
The script is basically a mashup script and provides a combined functionality of various indicators. I'll explain the usefulness and the optimal usage of the script after giving the credits where it is due. A CPR indicator for visually identifying the trend along with the strength of the trend is NOT available in the public library of TradingView. Hence, the need of this indicator.
The credit of creating the original indicators remain unknown to me but I would like to acknowledge the authors whose formulae and codes I have used for creating this mashup indicator.
- Frank Ochoa
- Guruprasad Meduri
- Rafael Zioni
- Stoked Stocks
- Pine team for default indicators
The prime focus of the script is identifying and simplifying the 2 main aspects of a trend:
1. Direction / Underlying trend
2. Strength of the trend
Flaws in traditional CPR:
Some may see this as a flaw, some may not. So take my opinion with a grain of salt. In general, the traditional CPR indicator is used to plot just support and resistance levels, and the trend identification is purely discretionary. In addition to this, there is no way to assess the strength of the move without using a dedicated volumed based indicator. This causes amateur traders to take counter trades to the market direction.
What is the need of this hybrid indicator?
A CPR indicator that also aids in visually identifying the trend and the strength of the trend with respect to the price action in NOT available in the public library of TradingView. The traditional CPR can be used to assess the rough direction of the market but if it combined with the Hull ribbon, the probability of identifying the trend increases manifold. Hence, I decided to create this mashup indicator.
In addition to the basic CPR pivots, the script provides the functionality of the following indicators:
1. HMA based trend ribbons with auto buy/sell signals
2. Volatility based bands - Bollinger bands, Keltner channel, Donchian channel, envelope.
3. Coloured volume candles to determine the strength of the trend
4. CPR with daily, weekly, and monthly levels
5. Previous day high/low
6. Tomorrow CPR
7. 3 Simple moving averages
8. Volume Weighted Average Price (VWAP)
Correct usage of the indicator:
The optimal usage of the indicators consists of mainly 2 parts:
1. Identification of the trend using the combination of CPR and Hull ribbon
2. Determining the strength of the trend
How to identify the trend?
In general, when the price is above CPR it is considered a bullish trend. Also, when the price is above the Hull ribbon, it is considered bullish. Reverse is true for a bearish trend. Combining the traditional CPR logic with the Hull trend ribbon, we can conclude that:
1. Bullish trend = Price above CPR and above the Hull ribbon
2. Bearish trend = Price below CPR and below the Hull ribbon
If the Hull ribbon is showing a zig-zag move, the trend will be sideways. Also, the time frame of the Hull ribbon can be defined as per the need of the user.
Exhibit: Identification of a bullish trend
Exhibit: Identification of a bullish trend with a contra move (pullback)
Exhibit: Identification of a bearish trend
Exhibit: Identification of a bearish trend with a contra move (pullback)
How to determine the strength of the trend?
1. Strong trend = The dark coloured candles represent volume more than 150% of the look back period. For instance
2. Moderate trend = The bright coloured candles represent volume between 50-150%.
3. Neutral trend = The Grey coloured candles represent a weak trend where the volume is less than 50%.
Exhibit: Identification of a strong bearish trend along with the trend direction
Exhibit: Identification of a strong bullish trend using only coloured candles
All the other indicators including the SMA, VWAP, Bollinger bands, Keltner channels, etc. can be used as per the taste of the trader.
Thanks for reading! I hope you find this indicator useful.
Happy learning. Cheers!
Rajat Kumar Singh (@johntradingwick)
Community Manager (India), TradingView
[blackcat] L1 Pawel Kosinski BB with CandlesLevel 1
Background
In Traders’ Tips of October 2019, the focus is Pawel Kosinski’s article : “Combining Bollinger Bands With Candlesticks”
Function
In “Combining Bollinger Bands With Candlesticks” in this issue, author Pawel Kosinski introduces us to a trading indicator that combines standard Bollinger Bands with the bullish engulfing candlestick pattern. Along the way we get a glimpse into the author’s process for trading strategy design and testing.
Remarks
Feedbacks are appreciated.
Root mean squared error range (RMSER)Similarly to Bollinger bands, the RMSER gives a support and resistance areas for the trading price. Unlike bollinger bands, which use standard deviation, this support and resistance is calculated with 2 * the root mean squared error away from the moving average. This works very well with indices, like $SPX, and prices only fall outside the range during black swan events like the 2020 crash.
Volatility indicator based on ATR Hello,
I'm sharing to you a volatility indicator I've done in the last few weeks based on ATR. There is multiple functionalities on this indicator, the first one is an overlay displaying when an asset is in an "overvolatily zone"
(displayed with red cross) and when we are in an "undervolatily zone" (displayed with green cross). You can change the sensibility of the signals in the parameters if you wish to have more or less greedy signals
(it will only modify the overvolatility signals). By the way those signals are not working for week-ends because volatility works differently on week-ends and it's not a good idea to count week-ends in the calculations, so do not worry if you see no signals on weekends.
Second part of the indicator is something I called "Atr bands" it's an equivalent to the famous Bollinger-Bands but based on ATR. I haven't backtested them yet but they seems really interesting in low ut
(15 mins seems to be the best ut for those) and they seems pretty bad in high ut so they can maybe be useful for low ut scalping.
Last thing, there is a parameter allowing you to display bands on the week-ends so you can easily see where the indicator won't give signals.
I would be really happy if I could have some feedsback if you try the indicator :)
Have a wonderful day
BBands ChannelsBased on the Bollinger Bands system. This shows outer channels to the bollinger bands .
1 Indicator to rule them allThe best combination indicator consisting of 4 SMA's, 4 EMA's, Donchian Channels, Parabolic SAR, Bollinger Bands, Ichimoku Cloud, a trend strength highlight for the bollinger bands background according to the ADX, labels on the chart to draw in when the Directional Index plus and minus cross, and a background highlight for low and high volatility according to the Historical Volatility Percentile.
The Indicators and placed and group intentionally, with the SMA and EMA's next to the Donchian Channels to draw in areas of support and resistance, with the parabolic SAR afterwards for confirmation on entries and exits.
Next are the Bollinger Bands and the Ichimoku cloud, which when used in combination by an experienced trader allows one to see the trend and spot any developing opportunities at a glance. These can be used in combination with the ADX background in the bolls to point out when trends start and end.
The Directional Indexes crossing implies a equilibrium point has been reached between the buy and selling pressure. Finally the background highlight according to low and high periods of volatility does well to ensure you're entering into the best trades at the best times.
These indicators used together in combo with momentum oscillators will lead to a full and complete picture of the trend and the most likely places for future price to come, allowing a holistic view and confluence between different, noncollinear indicators to paint occam's razor onto the charts.
+ Donchian ChannelsThis version of Donchian Channels uses two source options so that one can create a channel using highs and lows rather than one or the other or closes. My thinking was that this would create a more accurate portrayal of price action (or at least contain the greatest scope of it) as seen through the lens of a Donchian Channel. This was actually part of the genesis of my idea around my Ultimate Moving Average.
Besides the single top and bottom plot for the DC's extremities, I've enabled the ability to create outer bands with a variable width that the user can adjust to their preference. I think it's quite nice. I use it in the DC in my other non-overlay indicators.
Besides this additional functionality, the indicator has options to plot lines between the basis and the upper and lower bands, so, basically, splitting the upper and lower channel in half.
There is no magic number to the lookback. I chose 233 as default because it's a fibonacci sequence number and I'm more interested in using the DC like a very long period bias indicator, and the longer lookback gives a much wider window (because highs and lows are so spread apart) with which other faster indicators (supertrend, shorter period moving averages, etc.) can work without making the screen a clutter.
The color of the basis may also be made relevant to higher timeframe information. What I mean by this is that you can set it so that the basis of the current timeframe is colored based on the candle close of the higher timeframe of your choosing. If you're looking at an hourly chart, and you set the color to Daily, the basis will be colored based on the candle close (above or below the basis) of the previous day. If the previous daily close was above the basis, that positive color will be reflected in the basis, even if the current hourly candle closes are below the hourly basis. This could potentially be useful for setting a higher timeframe directional bias and reacting off price crossing the lower timeframe basis (or whatever your trigger for entering a trade might be). This is also optional in my Ultimate Moving Average indicator.
You can also set the entire indicator to whatever time frame you want if you want to see where the actual basis, or other levels are on that higher timeframe.
Further additions include fibonacci retracement levels. These are calculated off the high and the low of the Donchian Channels themselves.
You will see that there are only three retracement levels (.786, .705, .382), one of which is not a fib level, but what some people call the 'OTE,' or optimal trade entry. If you want more info on the OTE just web search it. So, why no .618 or .236? Reason being that the .618 overlaps the .382, and the .236 is extremely close to the .786. This sounds confusing, but the retracement levels I'm using are derived from the high and low, so it was unnecessary to have all five levels from each. I could have just calculated from the high, or just from the low, and used all the levels, but I chose to just calculate three levels from the high and three from the low because that gives a sort of mirror image balance, and that appeals to me, and the utility of the indicator is the same.
The plot lines are all colored, and I've filled certain zones between them. There is a center zone filled between both .382 levels, and an upper and lower zone filled between the .786 and either the high or the low.
If you like the colored zones, but don't like the plots because they cause screen compression, turn off the plots under the "style" tab.
There are alerts for candle closes across every line.
I should state that, regarding the fibs, obviously the length of the Channels is going to affect to what levels price retraces to. A shorter lookback means you will see more changes in highs and lows, and therefore retraces are often going to be full retraces within the bands unless price is trending hard. A longer lookback means you will see smaller retraces. Using this in conjunction with key high timeframe levels and/or a moving average can give great confidence in a trade entry. Additionally, if you have a short bias it may help in finding levels or entering a trade on a pullback. It could also be good for trade targets. But again, the lookback you choose for this indicator is going to dictate its use in the system you're building or already have. A 9 EMA and a 200 EMA, while fundamentally the same, are going to be used somewhat differently while doing your chart analysis.
Additional images below.
Same image as main, but with supertrend and my +UMA to help with chart analysis.
Image with the fib stuff turned on.
Zoomed out image with the same.
Shorter lookback period.
Zoomed in image of shorter lookback.
Sniper BB + VWAP System (with SMT Divergence Arrows)STEP 1: Load two correlated futures charts.
Example: CL + RB/SI+GC/ NQ+ES
STEP 2: Add Bollinger Bands (20, 2.0) on both.
Optional add (20, 3.0).
STEP 3: Watch for a BB tag on one chart but not the other.
STEP 4: Wait for a reclaim candle back inside the band.
STEP 5: Enter with stop below/above the wick + 3.0 BB.
STEP 6: Scale out midline, then opposite band.
STEP 7: Hold partials when both pairs confirm trend.
*You can take the vwap bands off the chart if it is too cluttered.
NeuroPolynomial Channel🧠 NeuroPolynomial Channel – AI-Inspired Market Structure Engine
In modern market microstructure analysis, price is no longer treated as a simple line — it is viewed as a continuously evolving signal governed by nonlinear dynamics, volatility deformation, and behavioral state shifts.
The NeuroPolynomial Channel (NPC) is a mathematically structured, AI-inspired indicator designed to approximate this dynamic behavior using a hybrid of:
• Polynomial regression smoothing
• Neural blending functions
• Volatility-adaptive envelopes
• Distribution-based bias levels
While full deep-learning models cannot be directly implemented in Pine Script due to computational and architectural limitations, the NeuroPolynomial Channel brings core AI concepts into TradingView through mathematically constrained approximations, creating an efficient, real-time neural structure model suitable for intraday and swing analysis.
📐 Mathematical Foundation
NPC is not a standard moving average or simple channel system.
It applies a multi-layer non-linear approximation built on four core mathematical components.
1️⃣ NeuroPolynomial Core Line
At the heart of the system lies a recursive polynomial smoothing kernel inspired by neural weighted blending:
K = α · K
+ (1 - α) · P
+ Δx · ( K - K ) / F
Where:
• K = Neuro core estimate
• P = Current price input
• α = Neural morph factor
• F = Flattening constant
• Δx = Position delta (horizontal deformation component)
The recursive references introduce memory similar to RNN-style feedback behavior.
This produces a structurally smooth, non-linear trajectory that adapts to both local and historical price deformation.
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2️⃣ Neural Volatility Envelope
Instead of classical standard deviation, NPC uses a cumulative error field:
E = ( Σ | P - K | ) / N
Using this error field, the dynamic envelope bands are constructed as:
Inner Band = K ± E · m1
Mid Band = K ± E · m2
Outer Band = K ± E · m3
Where:
• m1, m2, m3 are probabilistic band multipliers
• E represents actual observed deviation, not synthetic volatility
This creates a probabilistic price container that deforms with real market behavior rather than static statistical assumptions.
The channel automatically adapts its curvature based on current price regime:
trending, compressing, or expanding.
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3️⃣ Neural Regression Spine
Alongside the polynomial core, NPC calculates a ridge-regularized regression spine:
y = β · x + α (with L2 regularization)
This acts as a structural bias vector or "neural backbone".
It prevents overfitting and provides directional stabilization during extended trend phases.
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4️⃣ Neuro Bias Zones (Daily Reset)
NPC also introduces daily volatility-anchored regime thresholds:
Z_levels = Open ± ATR_daily × {0.1, 0.382, 0.618}
These act as:
• Neuro Mid Zones – equilibrium bands
• Neuro Strong Zones – trend activation boundaries
Unlike classical pivot systems, these levels reset daily and expand dynamically based on real volatility.
They approximate probability field boundaries similar to those used in institutional volatility modeling.
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🤖 AI Philosophy
While Pine Script cannot host full neural networks, GPU models or multi-layer AI pipelines, NeuroPolynomial Channel introduces AI concepts through mathematical abstraction, including:
• Neural blending mechanics
• Memory-based recursion
• Volatility adaptation
• Bias field modeling
• Structured envelope projection
This creates an AI-style behavior using real-time deterministic mathematics — allowing performance on TradingView while preserving interpretability and stability.
🛠 How To Use
NPC is designed for structure-based interpretation, not random signal chasing.
① Trend Structure
Use the Neural Core Line and channel slope to establish trend direction and regime.
② Compression & Expansion
Observe band width.
Contracting channels signal volatility compression.
Expanding channels signal range expansion.
③ Bias Zones
Neuro Mid and Strong levels act as macro intraday bias framework — especially powerful for session trading and index futures.
⚙️ Settings Overview
• Morph Factor – Controls neural blending strength (higher = smoother, lower = reactive)
• Flatten – Reduces polynomial curvature noise
• Band Multipliers – Adjust envelope thickness
• Neural Bias Levels – ATR-anchored regime zones resetting daily
• Theme & Visual Controls – Dark/Light with pro-grade visibility
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Companion AI:
I also built a free Trading AI on ChatGPT that reads chart screenshots and enforces a rule-based intraday checklist.
Use with this indicator: chatgpt.com
For educational & decision-support only. Not financial advice.
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⚠️ Disclaimer
The information contained in my Scripts / Indicators / Ideas / Systems does not constitute financial advice or a solicitation to buy or sell any securities.
All markets carry risk. This tool is for educational and analytical purposes only.
I do not accept liability for any financial loss or damage resulting from direct or indirect use of this script.
Trading decisions must be made independently based on your own risk profile and financial assessment.
MoneyLine FusionMoneyLine Fusion is a clean, no-nonsense confluence indicator that combines a linear-regression “Money Line” with adaptive ATR bands, Fisher Transform triggers, correct Aroon trend strength, and an instant-read Score (-4 to +4) built from MACD, ADX, MFI and RSI. It only flashes a BUY or SELL label when all the pieces line up — giving you high-probability entries without the noise. The bright lime/red Money Line never blends with candles, the bands stay perfectly anchored no matter how you pan or zoom, and the tiny info panel tells you at a glance exactly how strong the current setup is. In short, it turns five proven tools into one simple, visual decision engine so you spend less time second-guessing and more time catching clean moves.
Multi-Timeframe TTM Squeeze Pro with alerts and screenersBased of John Carters TTM Squeeze. Must open the settings and select wether you want to match the timeframe in your chart. This must be done in the pinescreener as well otherwise results will not be correct.
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# **Squeeze Momentum Pro – Enhanced Screener + EMA Cross Alerts**
This custom version of the Squeeze Momentum indicator expands the standard TTM-style squeeze with screening and automated alert logic so you can quickly find high-quality setups across many tickers.
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## **What This Script Does**
This indicator plots a three-level squeeze visual similar to TTM Squeeze:
Dot meanings in this indicator
Orange dot:
Strongest squeeze – Bollinger Bands are inside the tightest Keltner level (highest volatility compression).
Red dot:
Medium squeeze – still compressed, but not as tight as orange.
Black dot:
Weak squeeze / lowest level of volatility compression.
Price is coiling, but not as tight as the higher levels.
Green dot (“Fired”):
Squeeze has released — Bollinger Bands have expanded out of the channels and momentum is moving.
A momentum histogram is plotted to show directional pressure during the squeeze.
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## **Major Improvements Added**
### **① Screenable Conditions for Stock Scanners**
This version includes multiple `alertcondition()` flags so the script can be used as a **Pine Screener inside TradingView**.
Currently it can screen for:
✔ Price closing above the 50-SMA
✔ Presence of an **orange (strong) squeeze dot**
✔ 6/20 EMA crossover signals inside a squeeze
These can be used inside the TradingView Screener or in watchlists to automatically highlight qualifying tickers.
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### **② 6/20 EMA Trend Signals (Filtered by Squeeze)**
A crossover system was added:
* **Bullish Signal:** 6 EMA crosses above 20 EMA
* **Bearish Signal:** 6 EMA crosses below 20 EMA
But **these signals only trigger if the market is in a red or orange squeeze**, which helps remove noise and focus on valid setups.
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### **③ Visual Markers Under the Histogram**
Whenever an EMA crossover occurs during a squeeze:
* A **green up-triangle** is plotted for a bullish cross
* A **red down-triangle** for a bearish cross
These markers are drawn **below the histogram**, keeping the display clean while still providing quick visual cues.
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### **④ Fully Non-Repainting Logic**
All signals and squeeze calculations are based on standard fully-resolved `ta.*` functions, making the results stable both in backtesting and real-time.
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## **Who This Script Helps**
This version is ideal for:
* Traders who use TradingView’s screener and want automated breakout/continuation filtering
* Traders who scan large watchlists for squeeze setups
* Users who want trend confirmation during volatility compression
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## **How to Use It**
1. Add the script to your chart
2. Open TradingView Alerts or Screener
3. Select the conditions you want, for example:
* *“Orange Squeeze Detected”*
* *“Squeeze Fire after 3 squeeze dots*
* *“4 REd Dots in a row.”*
* *“Buy Alert”*
* *“EMA 6/20 Bullish Crossover (Squeeze Only)”*
* *“Close Above 50 SMA”*
Once active, TradingView will automatically flag symbols that meet the criteria.
---
## **Summary**
This enhanced Squeeze Momentum indicator turns the standard TTM-style visual into a **true screening and alert system** by adding:
* Multi-level squeezes
* EMA trend signals
* Screener-compatible alert conditions
* Clean visual signals
* Non-repainting logic
It helps traders quickly locate high-probability setups across any watchlist or market.
SymFlex Band - MAD, RSI Momentum, ATR Volatility"I wanted to design a hybrid band tool that adapts to different market conditions (volatility, momentum, trend) all in one."
"When the RSI band expands asymmetrically and the price closes outside it, this often signals a momentum climax or exhaustion zone."
"Ideal for traders looking to combine volatility breakout and mean reversion logic without switching indicators."
SymFlex Band is a flexible, multi-source band indicator that combines three dynamic metrics:
✅ MAD Band – Median Absolute Deviation-based range band
✅ RSI Momentum Band – Adaptive envelope using RSI deviation and trend bias
✅ ATR Band – Classic Average True Range-based volatility band
📌 Features
-Selectable band types (individually toggled)
-Configurable moving average for center line (EMA, SMA, TEMA, DEMA, Zero-lag variants)
-Dynamic distance and breakout tracking
-Automatic nearest band detection
-Real-time correlation table between bands
This tool helps identify price location relative to statistically adaptive bands, making it easier to detect breakout conditions, mean-reversion zones, and trend-following opportunities.
🚫 Note: This version is an indicator only. Strategy logic and entry triggers have been removed for publication clarity.
🔍 Use Case Suggestions:
Use MAD for range-dominant assets
Use RSI Band for momentum-driven setups
Use ATR when volatility-based positioning is key
Combine all three to get a full perspective of price behavior
Engulfing Candlestick Pattern - BB FilterBeen working on doing a better version of this. This is like version 2.0. Usese this definition of an engulfing candle:
tradeciety.com
As you change the parameters of the Bollinger band the signals will change.
You can also set the distance away from the band using ATR muliplier to catch moves near the BB.
Per Claude,
This setup should give you much higher quality signals since you're filtering for engulfing patterns that occur at the extremes of the Bollinger Bands - exactly like the Tradeciety article recommends. Those are the setups with the best context and highest probability.
A few tips for using it:
You can adjust the BB Touch Distance slider if you want to be stricter or more lenient about what counts as "touching" the bands
Try enabling Strict Mode if you want only the strongest engulfing patterns (where the full range including wicks is engulfed)
Works great on higher timeframes like Daily and Weekly for the most reliable signals on NQ and ES
I personally use this on the 1000 tick NQ chart.
It's not perfect but 2x better than my first attempt. Enjoy.
Open to suggestions as well.
For entertainment purposes only.
HEK Dinamik Fiyat Kanalı Stratejisi v1HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
6 gün önce
Sürüm Notları
HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
