Bitcoin Wave RainbowThis Bitcoin Wave Rainbow model is a powerful tool designed to help traders of all levels understand and navigate the Bitcoin market. It works only with BTC in any timeframe, but better looks in dayly or weekly timeframes. It provides valuable insights into historical price behavior and offers forecasts for the next decade, making it an essential asset for both short-term and long-term strategies.
How the Model Works
The model is built on a logarithmic trend, also known as a power law, represented by the green line on the chart. This line illustrates the expected price trajectory of Bitcoin over time. The model also incorporates a range of price fluctuations around this trend, represented by colored bands.
The width of these bands narrows over time, indicating that the model becomes increasingly accurate as it progresses. This is due to the exponential decrease in the range of price fluctuations, making the model a reliable tool for predicting future price movements.
Understanding the Zones
Blue Zone: This zone signifies that the price is below its trend, making it a recommended area for buying Bitcoin. It represents a level where the price is unlikely to fall further, providing a potential opportunity for accumulation.
Green Zone: This zone represents a fair price range, where the price is relatively close to its trend. In this zone, the price may continue to go up or down, depending on the halving season. ransiting up around any halving and transiting down around 2 years after each halving.
Yellow Zone: This zone indicates that the price is somewhat overheated, often due to the hype following a halving event. While there may still be room for the price to rise, traders should exercise caution in this zone, as a price correction could occur.
Red Zone: This zone represents a strong overbought condition, where the price is significantly above its trend. Traders should be extremely cautious in this zone and consider reducing their positions, as the price is likely to revert back towards the trend or even lower.
Using the Model in Your Trading Strategy
This indicator can be used in conjunction with the Bitcoin Wave Model, which complements it by showing harmonic price fluctuations associated with halving events. Together, these indicators provide a comprehensive view of the Bitcoin market, allowing traders to make informed decisions based on both historical data and future projections.
Benefits for Traders
This Bitcoin price model offers numerous benefits for traders, including:
Clear Visualization: The model provides a clear and concise visual representation of Bitcoin's price behavior, making it easy to understand and interpret.
Accurate Forecasting: The model's accuracy increases over time, providing reliable forecasts for future price movements.
Risk Management: The model helps traders identify overbought and oversold conditions, allowing them to manage their risk more effectively.
Strategic Decision-Making: By understanding the different zones and their implications, traders can make more informed decisions about when to buy, sell, or hold Bitcoin.
By incorporating this Bitcoin price model into your trading strategy, you can gain a deeper understanding of the market dynamics and improve your chances of success.
"bands" için komut dosyalarını ara
MBAND 200 4H BTC/USDT - By MGS-TradingMBAND 200 4H BTC/USDT with RSI and Volume by MGS-Trading: A Neural Network-Inspired Indicator
Introduction:
The MBAND 200 4H BTC/USDT with RSI and Volume represents a groundbreaking achievement in the integration of artificial intelligence (AI) into cryptocurrency market analysis. Developed by MGS-Trading, this indicator is the culmination of extensive research and development efforts aimed at leveraging AI's power to enhance trading strategies. By synthesizing neural network concepts with traditional technical analysis, the MBAND indicator offers a dynamic, multi-dimensional view of the market, providing traders with unparalleled insights and actionable signals.
Innovative Approach:
Our journey to create the MBAND indicator began with a simple question: How can we mimic the decision-making prowess of a neural network in a trading indicator? The answer lay in the weighted aggregation of Exponential Moving Averages (EMAs) from multiple timeframes, each serving as a unique input akin to a neuron in a neural network. These weights are not arbitrary; they were painstakingly optimized through backtesting across various market conditions to ensure they reflect the significance of each timeframe’s contribution to overall market dynamics.
Core Features:
Neural Network-Inspired Weights: The heart of the MBAND indicator lies in its AI-inspired weighting system, which treats each timeframe’s EMA as an input node in a neural network. This allows the indicator to process complex market data in a nuanced and sophisticated manner, leading to more refined and informed trading signals.
Multi-Timeframe EMA Analysis: By analyzing EMAs from 15 minutes to 3 days, the MBAND indicator captures a comprehensive snapshot of market trends, enabling traders to make informed decisions based on a broad spectrum of data.
RSI and Volume Integration: The inclusion of the Relative Strength Index (RSI) and volume data adds layers of confirmation to the signals generated by the EMA bands. This multi-indicator approach helps in identifying high-probability setups, reinforcing the neural network’s concept of leveraging multiple data points for decision-making.
Usage Guidelines:
Signal Interpretation: The MBAND bands provide a visual representation of the market’s momentum and direction. A price moving above the upper band signals strength and potential continuation of an uptrend, while a move below the lower band suggests weakness and a possible downtrend.
Overbought/Oversold Conditions: The RSI component identifies when the asset is potentially overbought (>70) or oversold (<30). Traders should watch for these conditions near the MBAND levels for potential reversal opportunities.
Volume Confirmation: An increase in volume accompanying a price move towards or beyond an MBAND level serves as confirmation of the strength behind the move. This can indicate whether a breakout is likely to sustain or if a reversal has substantial backing.
Strategic Entry and Exit Points: Combine the MBAND readings with RSI and volume indicators to pinpoint strategic entry and exit points. For example, consider entering a long position when the price is near the lower MBAND, RSI indicates oversold conditions, and there is a notable volume increase.
About MGS-Trading:
At MGS-Trading, we are passionate about harnessing the transformative power of AI to revolutionize cryptocurrency trading. Our indicators and tools are designed to provide traders with advanced analytics and insights, drawing on the latest AI techniques and methodologies. The MBAND 200 4H BTC/USDT with RSI and Volume indicator is a prime example of our commitment to innovation, offering traders a sophisticated, AI-enhanced tool for navigating the complexities of the cryptocurrency markets.
Disclaimer:
The MBAND indicator is provided for informational purposes only and does not constitute investment advice. Trading cryptocurrencies involves significant risk and can result in the loss of your investment. We recommend conducting your own research and consulting with a qualified financial advisor before making any trading decisions.
[LCS] Bar HeatmapThe script is an overlay aimed at making price action within a range more comprehensible, i.e. what is the “story” that the band range is telling in relation to the price. You’ll see bars become brighter as they come near the upper or lower band, and dimmer around the average/middle of the two bands. This makes it easier to spot when the price is within an oversold or overbought area or when its experiencing a strong trend movement. The color shift from one to the other can also give a sense as to whether the price action is changing character (going from bullish to bearish or vice versa).
Settings are available for customization to the user's liking.
How to use:
1. Add the indicator.
2. Add another indicator to use as the source, such as Bollinger Bands, which provides upper and lower plots for a channel range.
3. Click the gear icon to access the indicator settings.
4. Mandatory: Select the Upper Band and Lower Band settings as the upper and lower plots from your source indicator of choice to define the range.
5. Save settings. You should now see bars on your chart.
6. Access the Chart Settings (not the indicator settings) and hide the Body, Borders, and Wick for the default candle bars to avoid overlap.
You may need to perform additional configuration steps in your source indicator to appropriately size the range of the upper and lower band plots for a meaningful visualization.
Rectified BB% for option tradingThis indicator shows the bollinger bands against the price all expressed in percentage of the mean BB value. With one sight you can see the amplitude of BB and the variation of the price, evaluate a reenter of the price in the BB.
The relative price is visualized as a candle with open/high/low/close value exspressed as percentage deviation from the BB mean
The indicator include a modified RSI, remapped from 0/100 to -100/100.
You can choose the BB parameters (length, standard deviation multiplier) and the RSI parameter (length, overbougth threshold, ovrsold threshold)
You can exclude/include the candles and the RSI line.
The indicator can be used to sell options when the volatility is high (the bollinger band is wide) and the price is reentering inside the bands.
If the price is forming a supply or demand area it can be a good opportunity to sell a bull put or a bear call
The RSI can be used as confirm of the supply/demand formation
If the bollinger band is narrow and the RSI is overbought/oversold it indicate a better opportunity to buy options
the indicator is designed to work with daily timeframe and default parameters.
Range of a source displayed in thirdsThis indicator will take the value of any external source input and display how it has changed over time (the lookback period in settings). For the purposes of display here I'm using the WT1 line from Wavetrend with Crosses by LazyBear to provide a source input.
The highest and lowest value of the source over the lookback period are used to determine the highest and lowest point - the green and red lines at the top and bottom of the bands. This region is then mathematically split into three, such that the source (and its optional moving average line) can be defined as being in the top third, the middle or the bottom third.
Applications for this could be in risk management where you may wish to take on a larger position size when a certain indicator is in the top third, or decide that you want to enter / leave positions when the source crosses in / out of the extreme points.
WillyCycle Oscillator&DoubleMa/ErkOzi/version 2This oscillator can be customized by adjusting the length of the Willy period, the length of Willy's EMA, and the upper and lower bands. The upper and lower bands help traders identify overbought and oversold conditions.
The WillyCycle Oscillator is a technical analysis tool used to measure the momentum of an asset and identify overbought and oversold conditions based on the price range of a specific period and calculating the percentage of the closing price in that range. The WillyCycle Oscillator consists of two main components: Willy and Willy's EMA. The Willy component is the percentage calculation of the asset's price range, and Willy's EMA is the exponential moving average of the Willy component. Willy's EMA is used to smooth out the Willy component and make it easier to identify trends.
*** When the oscillator is above the 80 level, it indicates that the asset is overbought, and when it is below the 20 level, it indicates that the asset is oversold. Traders can use these levels as a guide for buying and selling signals.
***Traders can also use the WillyCycle Oscillator to identify trend reversals. When the oscillator rises above the 50 level, it signals a potential uptrend, and when it falls below the 50 level, it signals a potential downtrend.
***I have added a smoothed line option to the WillyCycle Oscillator, which allows traders to see a more smoothed version of the oscillator. This option can be enabled by setting the 'smoothed' input to true. The default value for the smoothed line is 15.
***We have also changed the value range of the WillyCycle Oscillator from -100 to 100 to 0 to 100. This change was made to make the oscillator more user-friendly and easier to read.
In conclusion, the WillyCycle Oscillator is a versatile tool that can help traders identify potential trading opportunities and trend reversals. Traders can customize the oscillator to fit their trading style and preferences. Adding a smoothed line and changing the value range can enhance the user experience and make the oscillator easier to use.
Weighted Bollinger Band (+ Logarithmic)ENG)
Weighted BB is more responsive to price changes than original Bollinger Bands.
the calculation formula uses a weighted method based on the current price.
Instead of using a standard deviation, I used a weighted standard deviation that weights the current price, and instead of a simple moving average, I used a weighted moving average.
Also included is a formula to log the Bollinger Bands for users who view charts on a logarithmic scale.
KOR)
원본 볼밴보다 가격변화에 대한 반응성이 높습니다.
계산식에는 현재가격에 가중을 주는 방식을 사용하였습니다.
표준편차를 사용하는 대신 저는 현재가격에 가중을 두는 가중표준편차를 사용하였고, 단순이동평균 대신 가중이동평균을 사용하였습니다.
또한 로그스케일로 차트를 보는 유저를 위해 볼린저밴드를 log화 하는 수식도 포함하였습니다.
VWAP Market Session AnchoredVWAP Market Session Anchored differs from the traditional VWAP or VWAP Auto Anchored indicator in that the Volume Weighted Average Price calculation is automatically anchored to four major market session starts: Sydney, London, Tokyo, New York.
Settings
Source: the source for the VWAP calculation.
Offset: changing this number will move the VWAP either Forwards or Backwards, relative to the current market. Zero is the default.
Band: enabling this will show Standard Deviation bands.
Band Multiplier: the value the Standard Deviation bands will be multiplied by before being plotted on the chart.
Sessions : enabling the sessions will plot the respective anchored VWAP on chart.
Custom: enabling this will show a custom user-defined session.
Custom UTC : the custom session is defined by a starting UTC hour followed by the ending UTC hour.
Usage
Similar to the traditional VWAP, VWAP Market Session Anchored is a technical analysis tool used to measure the average price weighted by volume. VWAP Market Session Anchored can be used to identify the trend during a specific market session.
Limitations
When setting a custom session, be mindful that calculations are based off of the Coordinated Universal Time (UTC) time, you must convert your local time zone to UTC in order to have an accurate representation of your custom session.
It is not recommended to use this indicator on timeframes above 1 hour as market sessions only last a few hours.
Rolling QuartilesThis script will continuously draw a boxplot to represent quartiles associated with data points in the current rolling window.
Description :
A quartile is a statistical term that refers to the division of a dataset based on percentiles.
Q1 : Quartile 1 - 25th percentile
Q2 : Quartile 2 - 50th percentile, as known as the median
Q3 : Quartile 3 - 75th percentile
Other points to note:
Q0: the minimum
Q4: the maximum
Other properties :
- Q1 to Q3: a range is known as the interquartile range ( IQR ). It describes where 50% of data approximately lie.
- Line segments connecting IQR to min and max (Q0→Q1, and Q3→Q4) are known as whiskers . Data lying outside the whiskers are considered as outliers. However, such extreme values will not be found in a rolling window because whenever new datapoints are introduced to the dataset, the oldest values will get dropped out, leaving Q0 and Q4 to always point to the observable min and max values.
Applications :
This script has a feature that allows moving percentiles (moving values of Q1, Q2, and Q3) to be shown. This can be applied for trading in ways such as:
- Q2: as alternative to a SMA that uses the same lookback period. We know that the Mean (SMA) is highly sensitive to extreme values. On the other hand, Median (Q2) is less affected by skewness. Putting it together, if the SMA is significantly lower than Q2, then price is regarded as negatively skewed; prices of a few candles are likely exceptionally lower. Vice versa when price is positively skewed.
- Q1 and Q3: as lower and upper bands. As mentioned above, the IQR covers approximately 50% of data within the rolling window. If price is normally distributed, then Q1 and Q3 bands will overlap a bollinger band configured with +/- 0.67x standard deviations (modifying default: 2) above and below the mean.
- The boxplot, combined with TradingView's builtin bar replay feature, makes a great tool for studies purposes. This helps visualization of price at a chosen instance of time. Speaking of which, it can also be used in conjunction with a fixed volume profile to compare and contrast the effects (in terms of price range) with and without consideration of weights by volume.
Parameters :
- Lookback: The size of the rolling window.
- Offset: Location of boxplot, right hand side relative to recent bar.
- Source data: Data points for observation, default is closing price
- Other options such as color, and whether to show/hide various lines.
Actieve Inversiones EMABBOL by EDOHEN
EMABBOL includes these indicators:
- triple emas (9,21,50)
- Bollinger Bands
- Also includes buying or selling signals
The following strategy is based on ema crosses and bollinger ma crosses, the Bollinger band gives us the target we could expect from our trades, using the upper and lower bands.
Trading criteria
Buy : Price crosses over the triple emas and also crosses under the Bollinger band ema. Looking for 3:1 PnL
Sell : Price crosses under the triple emas and also crosses under the Bollinger band ema. Looking for 3:1 PnL
Stop Loss Tips : set the SL above the crosses if Selling, below the crosses if buying
Take Profit Tips : set the TP below the Bollinger's lower Band band if Selling, or above the Bollinger's upper Band band if Buying
Fallback VWAP (No Volume? No Problem!) – Yogi365Fallback VWAP (No Volume? No Problem!) – Yogi365
This script plots Daily, Weekly, and Monthly VWAPs with ±1 Standard Deviation bands. When volume data is missing or zero (common in indices or illiquid assets), it automatically falls back to a TWAP-style calculation, ensuring that your VWAP levels always remain visible and accurate.
Features:
Daily, Weekly, and Monthly VWAPs with ±1 Std Dev bands.
Auto-detection of missing volume and seamless fallback.
Clean, color-coded trend table showing price vs VWAP/bands.
Uses hlc3 for VWAP source.
Labels indicate when fallback is used.
Best Used On:
Any asset or index where volume is unavailable.
Intraday and swing trading.
Works on all timeframes but optimized for overlay use.
How it Works:
If volume == 0, the script uses a constant fallback volume (1), turning the VWAP into a TWAP (Time-Weighted Average Price) — still useful for intraday or index-based analysis.
This ensures consistent plotting on instruments like indices (e.g., NIFTY, SENSEX,DJI etc.) which might not provide volume on TradingView.
SuperBandsI've been seeing a lot of volatility band indicators pop up recently, and after watching this trend for a while, I figured it was time to throw my two chips in. The original spark for this idea came years ago from RicardoSantos's Vector Flow Channel script, which used decay channels with timed events in an interesting way. That concept stuck with me, and I kept thinking about how to build something that captured the same kind of dynamic envelope behavior but with a different mathematical foundation. What I ended up with is a hybrid that takes the core logic of supertrend trailing stops, smooths them heavily with exponential moving averages, and wraps them in Donchian-style filled bands with momentum-based color gradients.
The basic mechanism here is pretty straightforward. Standard supertrend calculates a trailing stop based on ATR offset from price, then flips direction when price crosses the trail. This implementation does the same thing but adds EMA smoothing to the trail calculation itself, which removes a lot of the choppiness you get from raw supertrend during sideways periods. The smoothing period is adjustable, so you can tune how reactive versus stable you want the bands to be. Lower smoothing values make the bands track price more aggressively, higher values create wider, slower-moving envelopes that only respond to sustained directional moves.
Where this diverges from typical supertrend implementations is in the visual presentation and the separate treatment of bullish and bearish conditions. Instead of a single flipping line, you get persistent upper and lower bands that each track their own trailing stops independently. The bullish band trails below price and stays active as long as price doesn't break below it. The bearish band trails above price and remains active until price breaks above. Both bands can be visible simultaneously, which gives you a dynamic channel that adapts to volatility on both sides of price action. When price is trending strongly, one band will dominate and the other will disappear. During consolidation, both bands tend to compress toward price.
The color gradients are calculated by measuring the rate of change in each band's position and converting that delta into an angle using arctangent scaling. Steeper angles, which correspond to the band moving quickly to catch up with accelerating price, get brighter colors. Flatter angles, where the band is moving slowly or staying relatively stable, fade toward more muted tones. This gives you a visual sense of momentum within the bands themselves, not just from price movement. A rapidly brightening band often precedes expansion or breakout conditions, while fading colors suggest the trend is losing steam or entering consolidation.
The filled regions between price and each band serve a similar function to Donchian channels or Keltner bands, creating clearly defined zones that represent normal price behavior relative to recent volatility. When price hugs one band and the fill area compresses, you're in a strong directional regime. When price bounces between both bands and the fills expand, you're in a ranging environment. The transparency gradients in the fills make it easier to see when price is near the edge of the envelope versus safely inside it.
Configuration is split between bullish and bearish settings, which lets you asymmetrically tune the indicator if you find that your market or timeframe has different characteristics in uptrends versus downtrends. You can adjust ATR period, ATR multiplier, and smoothing independently for each direction. This flexibility is useful for instruments that exhibit different volatility profiles during bull and bear phases, or for strategies that want tighter trailing on longs than shorts, or vice versa.
The ATR period controls the lookback window for volatility measurement. Shorter periods make the bands react quickly to recent volatility spikes, which can be beneficial in fast-moving markets but also leads to more frequent whipsaws. Longer periods smooth out volatility estimates and create more stable bands at the cost of slower adaptation. The multiplier scales the ATR offset, directly controlling how far the bands sit from price. Smaller multipliers keep the bands tight, triggering more frequent direction changes. Larger multipliers create wider envelopes that give price more room to move without breaking the trail.
One thing to note is that this indicator doesn't generate explicit buy or sell signals in the traditional sense. It's a regime filter and envelope tool. You can use band breaks as directional cues if you want, but the primary value comes from understanding the current volatility environment and whether price is respecting or violating its recent behavioral boundaries. Pairing this with momentum oscillators or volume analysis tends to work better than treating band breaks as standalone entries.
From an implementation perspective, the supertrend state machine tracks whether each direction's trail is active, handles resets when price breaks through, and manages the EMA smoothing on the trail points themselves rather than just post-processing the supertrend output. This means the smoothing is baked into the trailing logic, which creates a different response curve than if you just applied an EMA to a standard supertrend line. The angle calculations use RMS estimation for the delta normalization range, which adapts to changing volatility and keeps the color gradients responsive across different market conditions.
What this really demonstrates is that there are endless ways to combine basic technical concepts into something that feels fresh without reinventing mathematics. ATR offsets, trailing stops, EMA smoothing, and Donchian fills are all standard building blocks, but arranging them in a particular way produces behavior that's distinct from each component alone. Whether this particular arrangement works better than other volatility band systems depends entirely on your market, timeframe, and what you're trying to accomplish. For me, it scratched the itch I had from seeing Vector Flow years ago and wanting to build something in that same conceptual space using tools I'm more comfortable with.
RSI Pivots with Divergence Overlay█ OVERVIEW
The RSI Pivots with Divergence Overlay indicator is an advanced tool based on RSI, displaying dynamic bands on the price chart to simplify the identification of overbought and oversold conditions. Pivot points and divergences between them are derived from these bands, providing a comprehensive view of the market and enabling the creation of various trading strategies based on this single indicator.
█ CONCEPTS
Areas where RSI exits the bands are often reversal points in the market. The concept of this indicator is to highlight places where the probability of a trend reversal increases. Therefore, pivots and divergences have been added to better identify these key moments. Additionally, the bands allow viewing the market context in relation to the RSI indicator, facilitating analysis of momentum and volatility.
█ KEY FEATURES
Dynamic Bands and RSI Signals: The bands are calculated based on the closing price and RSI value, with dynamic scaling adjusted to market volatility. The upper band corresponds to overbought levels, the lower to oversold, and the midline is their average. The price level relative to the bands serves as a visual RSI signal, indicating potential overbought or oversold conditions.
Pivot Points: The indicator identifies local price highs and lows in relation to RSI levels. The pivot level is taken from the high/low of the candle. A high pivot is detected when the high of the candle reaches a local maximum after crossing the upper RSI level (overbought), signaling a potential reversal. A low pivot appears after a local price minimum following a drop below the lower RSI level (oversold), indicating a possible uptrend reversal. The pivot length (default 2 bars) defines the search range for these extremes, meaning that with a length of 2, a potential divergence signal will appear with a 2-candle delay, as this is the minimum time required to confirm a local pivot. Pivot lines are drawn on the chart, and labels display the RSI value (from the close of the candle) and price at the detection moment. Pivot lines disappear after the detection of the next low pivot for lower lines and high pivot for upper lines, but unbreached lines or those with high volume may still serve as support or resistance levels.
Divergence Detection: The indicator automatically detects divergences to predict trend changes. Bearish divergence occurs when the price forms a higher high pivot, but the RSI (from the close of the candle) is lower than in the previous pivot, indicating weakening upward momentum and a potential bearish reversal. Bullish divergence appears when the price forms a lower low pivot, but the RSI is higher, suggesting building momentum and a possible bullish reversal. Divergences are marked in pivot labels (e.g., "Bear Div" or "Bull Div") and supported by alerts upon detection.
Return Signals: The indicator generates buy and sell signals based on RSI (price) returning to the bands after extreme conditions, independently of pivots and divergences. A buy signal is triggered when RSI (price) crosses above the lower level (exiting oversold), suggesting a potential price rise toward the midline or upper band. A sell signal occurs when RSI (price) falls below the upper level (exiting overbought), indicating a possible price drop toward the lower band. Signals are visualized as arrows (up/down triangles) on the chart, with customizable colors.
█ CONFIGURATION
The indicator offers extensive customization options:
RSI Length (rsiLength): Sets the number of periods used to calculate RSI (default 14).
RSI Upper Level (rsiUpper): Defines the overbought threshold (default 70).
RSI Lower Level (rsiLower): Defines the oversold threshold (default 30).
Band Scaling (scale): Determines the scaling multiplier for bands based on market volatility (default 15.0).
SMA Length for Candle Midpoint (length): Number of periods for calculating the moving average of candle midpoints (default 200). This parameter is used to smooth price data, enabling more accurate volatility assessment and band width adjustment to market dynamics.
Pivot Length (pivotLength): Sets the range (in bars) for detecting local price extremes (default 2).
Pivot Label Offset (pivotLabelOffset): Multiplier for the candle range to position pivot labels (default 0.3).
Show Bands (showBands): Enables/disables the display of bands on the chart.
Show Fill (showFill): Enables/disables the fill between bands and the midline.
Show Pivot Lines (showPivotLines): Enables/disables pivot lines on the chart.
Show Pivot Labels (showPivotLabels): Enables/disables labels with RSI and price values at pivots.
Show Return Signals (showReturnSignals): Enables/disables the display of buy and sell signals.
Colors and Style: Customizable colors for bands, fills, pivot lines, labels, and line widths (default 1).
█ USAGE
The indicator performs best when combined with other technical analysis tools, such as Fibonacci levels, moving averages, or trendlines, to confirm pivot, divergence, and return signals. It enables traders to identify key reversal points, detect hidden trend weaknesses through divergences, and confirm trade entries with return signals.
Usage Examples:
Price bounces off a previous pivot with high volume – this increases the probability of a trend change or correction.
A similar situation when RSI is outside the bands strengthens the signal.
If divergence occurs in addition, we have further confirmation.
This can be combined with Fibonacci levels to check if Fibo zones overlap with pivot lines – this may increase the chance of a strong price reaction.
█ ALERTS
The indicator supports alerts for:
Buy and sell signals (RSI returning to bands).
Detection of bearish and bullish divergences.
BBands Channels with EMAs# **BBands Channels with EMAs Indicator Explanation**
---
## **📌 Feature Overview**
### **1. Bollinger Bands**
- **Basis Line**: 160-period SMA (adjustable)
- **Inner Bands**:
- **Upper**: Basis + 2× Standard Deviation
- **Lower**: Basis - 2× Standard Deviation
- **Outer Bands**:
- **Upper Top**: Basis + 3× Standard Deviation
- **Lower Low**: Basis - 3× Standard Deviation
- **Fill Effect**: Semi-transparent black fill between inner and outer bands
### **2. Exponential Moving Averages (EMAs)**
| Period | Purpose | Line Style |
|--------------|-----------------------------|------------------|
| **EMA 27** | Short-term trend | Thin line |
| **EMA 120** | Short-to-medium-term trend | Medium line |
| **EMA 200** | Medium-term trend | Medium line |
| **EMA 1120** | Ultra-long-term trend | Thick line |
---
## **⚙️ Parameter Settings**
### **Bollinger Bands**
| Parameter | Default | Description |
|---------------|---------|--------------------------------------|
| `length` | 160 | SMA calculation period |
| `mult` | 2.0 | Standard deviation multiplier (inner bands) |
| `multOuter` | 3.0 | Standard deviation multiplier (outer bands) |
| `offset` | 0 | Time offset for plots (±500 bars) |
### **Exponential Moving Averages (EMAs)**
| Parameter | Default | Description |
|-----------------|---------|---------------------------|
| `ema1Length` | 27 | EMA 1 period |
| `ema2Length` | 120 | EMA 2 period |
| `ema3Length` | 200 | EMA 3 period |
| `ema4Length` | 1120 | EMA 4 period |
---
## **📊 Use Cases**
### **1. Trend Confirmation**
- **Bullish Trend**: Price above EMA200 + Bollinger Band expansion
- **Bearish Trend**: Price below EMA200 + Bollinger Band expansion
### **2. Overbought/Oversold Signals**
- **Upper Band Touch**: Price reaches Upper Top → Potential overbought
- **Lower Band Touch**: Price reaches Lower Low → Potential oversold
### **3. Volatility Strategies**
- **Band Squeeze**: Narrowing gap between bands → Breakout warning
- **Band Expansion**: Price breaks outer band → Trend acceleration
---
**✅ Summary**
This indicator combines **Bollinger Bands + Multi-period EMAs** for:
- Trend tracking
- Volatility analysis
- Multi-timeframe strategies
---
# **BBands Channels with EMAs 指標說明**
---
## **📌 功能概述**
### **1. 布林通道 (Bollinger Bands)**
- **基礎線 (Basis Line)**: 160週期SMA（可調整）
- **內通道 (Inner Bands)**:
- 上軌 (Upper): 基礎線 + 2倍標準差
- 下軌 (Lower): 基礎線 - 2倍標準差
- **外通道 (Outer Bands)**:
- 上外軌 (Upper Top): 基礎線 + 3倍標準差
- 下外軌 (Lower Low): 基礎線 - 3倍標準差
- **填充效果**: 內外通道間半透明黑色填充
### **2. 指數移動平均線 (EMAs)**
| 週期 | 用途 | 線條樣式 |
|-------------|-------------------|-----------------|
| **EMA 27** | 短期趨勢 | 細線 |
| **EMA 120** | 中短期趨勢 | 中等線 |
| **EMA 200** | 中期趨勢 | 中等線 |
| **EMA 1120**| 超長期趨勢 | 粗線 |
---
## **⚙️ 參數設定**
### **布林通道 (Bollinger Bands)**
| 參數名 | 預設值 | 說明 |
|-------------|--------|---------------------------|
| `length` | 160 | SMA計算週期 |
| `mult` | 2.0 | 內通道標準差倍數 |
| `multOuter` | 3.0 | 外通道標準差倍數 |
| `offset` | 0 | 線圖時間偏移（±500根K棒） |
### **指數移動平均線 (EMAs)**
| 參數名 | 預設值 | 說明 |
|----------------|---------|-------------------|
| `ema1Length` | 27 | 第一條EMA週期 |
| `ema2Length` | 120 | 第二條EMA週期 |
| `ema3Length` | 200 | 第三條EMA週期 |
| `ema4Length` | 1120 | 第四條EMA週期 |
---
## **📊 應用場景**
### **1. 趨勢確認**
- **多頭趨勢**: 價格在EMA200上方 + 布林通道擴張
- **空頭趨勢**: 價格在EMA200下方 + 布林通道擴張
### **2. 超買超賣信號**
- **觸及外軌**: 價格觸碰Upper Top → 可能超買
- **觸及下軌**: 價格觸碰Lower Low → 可能超賣
### **3. 波動率策略**
- **通道收窄**: 內外通道間距縮小 → 突破預警
- **通道擴張**: 價格突破外軌 → 趨勢加速
---
**✅ 總結**
本指標透過**布林通道+多週期EMA**的組合，適用於：
- 趨勢跟蹤
- 波動率分析
- 多時間框架策略
DBMA - Dual Bollinger Moving AverageThe Dual Bollinger moving average (DBMA) consists of a moving average (MA) & two Bollinger Bands (BB), with the color of the bands representing the level of price compression. In its default settings, it is a 20-day simple moving average with 2 upper Bollinger Bands, having the standard deviation (SD) settings of 0.5 & 1, respectively.
How close the price is to the moving average?
For a pullback trader, the entry point should be close to the moving average, preferably with price compression. How close should it be, is where the bands serve as a guide. The low of the pullback candle should be within the bands, that is, at least within the far band (1 SD of the MA), or even better if it's within the near band (0.5 SD). When the price is outside the bands, it should not be considered favourable for a pullback entry.
For how long has the price been closer to the moving average?
John Carter’s TTM Squeeze indicator looked at the relationship between Bollinger Bands and Keltner's Channels to help identify period of volatility contractions. Bollinger Bands being completely enclosed within the Keltner Channels is indicative of a very low volatility. This is a state of volatility contraction known as squeeze. Using different ATR lengths (1.0, 1.5 and 2.0) for Keltner Channels, we can differentiate between levels of squeeze (High, Mid & Low compression, respectively). Greater the compression, higher the potential for explosive moves.
The squeeze portion of the script is based on LazyBear's script ( Squeeze Momentum Indicator )
The High, Mid & Low compression squeezes are depicted via the color of the bands being red, orange, or yellow, respectively. With the low of the pullback candle within the bands, & the squeeze color changing to red, it should be considered favourable for a pullback entry.
Trailing the price with the lower bands
The lower bands can be used for trailing with the moving average. While trailing, once the price closes below the moving average, the trailing stoploss (TSL) is said to be triggered, & the trade is exited. Here we use the bands to give it some cushion. Let the price close below the 1SD band for labelling the TSL as being triggered to exit the trade. If the price closes below the MA but is still within the bands, the signal is to keep holding the trade.
Nexural QWAPQWAP - Quantitative Weighted Average Price with True Order Flow Analysis
INTRODUCTION
This is legit one of the best indicators I can possibly make. Since I don't have access to tick data on tradingview I can't claim it's as accurate as possible but it is a very polished indicator for VWAP based trading and the bands are VERY useful for mean reverting trading.
QWAP Elite is an advanced Volume Weighted Average Price indicator that incorporates true order flow analysis through intrabar data decomposition. Unlike traditional VWAP indicators that simply calculate price multiplied by volume divided by total volume, this indicator attempts to identify the directional intent behind that volume by analyzing whether buying or selling pressure dominated each bar at a granular level.
The fundamental premise of this indicator is that not all volume is created equal. A bar with 10000 contracts where 8000 were aggressive buyers tells a very different story than a bar with 10000 contracts where 8000 were aggressive sellers, even if both bars close at the same price. Traditional VWAP treats these identically. QWAP attempts to weight the VWAP calculation based on this directional flow information.
This indicator was designed for traders who believe that institutional order flow leaves detectable footprints in price and volume data, and that identifying these footprints can provide an edge in determining likely future price direction. It is not a holy grail and it is not a replacement for proper risk management and trading discipline.
HOW THE INDICATOR WORKS
The True CVD Engine
The core of this indicator is its Cumulative Volume Delta calculation. Most indicators on TradingView approximate buying and selling volume by looking at whether a bar closed higher or lower than it opened. If the bar closed green, they assign all volume as buying volume. If it closed red, they assign all volume as selling volume. This is a crude approximation that misses significant nuance.
QWAP Elite uses the request security lower tf function to pull actual intrabar data. This means if you are on a 5 minute chart, the indicator is looking at the individual ticks or smaller timeframe bars that occurred within that 5 minute period. It then calculates how much volume occurred on up moves versus down moves within that bar, giving a much more accurate picture of whether buyers or sellers were more aggressive.
The Delta Ratio is calculated as the net delta divided by total volume, resulting in a value between negative one and positive one. A value of positive 0.6 means that 80 percent of volume was buying and 20 percent was selling. A value of negative 0.4 means that 70 percent was selling and 30 percent was buying. This ratio is then used to weight the VWAP calculation.
The intrabar precision is displayed in the dashboard as the number of bars analyzed. More bars means more granular data and theoretically more accurate delta calculation. The indicator automatically selects an appropriate lower timeframe based on your chart timeframe to balance accuracy with computational performance.
VIX Integration and Volatility Intelligence
The indicator pulls live VIX data and uses it to adjust its calculations dynamically. The VIX or CBOE Volatility Index represents the market expectation of 30 day forward looking volatility derived from SP500 option prices. When VIX is elevated, markets behave differently than when VIX is compressed.
Specifically, the indicator uses VIX to adjust the standard deviation bands around VWAP. In high volatility environments where VIX is above 25 or 30, the bands automatically widen to account for larger price swings. In low volatility environments where VIX is below 15, the bands tighten. This prevents false signals that would occur if static band widths were used across all market conditions.
The indicator also pulls VVIX which is the volatility of the VIX itself and VIX9D which is the 9 day VIX. By comparing VIX to VIX9D, the indicator can identify term structure conditions. When short term VIX is higher than longer term VIX, this is called backwardation and often indicates fear or stress in the market. When short term VIX is lower, this is contango and indicates complacency.
The VIX regime classification in the dashboard shows CALM when VIX is below 12, NORMAL between 12 and 20, ELEVATED between 20 and 30, and FEAR when above 30. Each regime suggests different trading approaches and position sizing considerations.
DETECTION SYSTEMS
Absorption Detection
Absorption occurs when large volume enters the market but price barely moves. This happens when one side is absorbing all the aggression from the other side. For example, if aggressive sellers are hitting the bid repeatedly but price is not dropping, it suggests there is a large buyer absorbing all that selling pressure. This often precedes reversals.
The indicator detects absorption by looking for bars with above average volume, below average range, and high wick ratios. A high wick ratio means the bar has long wicks relative to its body, indicating price moved but was pushed back. When these conditions coincide with strong delta in one direction, it suggests institutional absorption.
Liquidity Sweep Detection
Liquidity sweeps, also known as stop hunts, occur when price briefly exceeds a recent high or low to trigger stop losses, then reverses. Large traders need liquidity to fill their orders, and stops clustered above swing highs or below swing lows represent pools of liquidity they can tap into.
The indicator identifies sweeps by detecting when price exceeds the 5 or 20 bar high or low but closes back inside. A bull trap is identified when price sweeps above recent highs but closes below them, suggesting sellers trapped buyers who bought the breakout. A bear trap is the opposite, where price sweeps lows but closes above, trapping shorts.
Sweep detection is most useful when combined with delta analysis. A sweep with strong opposing delta, meaning price swept highs but delta was heavily negative, is a higher probability reversal signal than a sweep alone.
CVD Divergence Detection
Divergence between price and cumulative delta is one of the most reliable signals the indicator produces. When price is making higher highs but cumulative delta is making lower highs, it suggests that buying pressure is weakening even though price is still rising. This bearish divergence often precedes pullbacks or reversals.
Conversely, bullish divergence occurs when price makes lower lows but cumulative delta makes higher lows. This suggests that even though price is dropping, buying pressure is actually increasing, and sellers may be exhausted. These divergences are calculated over a 5 bar lookback period.
Stacked Imbalance Detection
Stacked imbalances occur when there are three or more consecutive bars with strong delta in the same direction. This represents sustained aggressive positioning by one side of the market. Three consecutive bars with delta above 0.5 suggests aggressive institutional buying. Three consecutive bars below negative 0.5 suggests aggressive institutional selling.
The count of consecutive imbalanced bars is displayed in the detection section. Four or more stacked imbalances is considered highly significant. This pattern often precedes continuation moves in the direction of the imbalance, as it suggests a committed directional player has entered the market.
Institutional Flow Detection
The indicator attempts to identify institutional activity by looking for the convergence of multiple factors. Specifically, it requires strong delta above 0.5 or below negative 0.5, volume persistence across multiple bars meaning above average volume for at least 2 to 3 bars in a row, and delta persistence meaning delta in the same direction for multiple consecutive bars.
When these factors align, the dashboard displays INST BUY or INST SELL instead of RETAIL. This classification should be viewed as a probability estimate rather than a certainty. Retail traders can produce similar patterns, and institutions can hide their activity. The designation is meant to highlight periods where the characteristics of flow are consistent with larger players.
ADAPTIVE WEIGHT SYSTEM
The indicator includes an adaptive system that automatically adjusts how much weight the CVD analysis has on the VWAP calculation. In quiet, low volatility markets, the CVD weight is reduced because the signal to noise ratio is lower. In active, high volatility markets with clear directional flow, the weight is increased.
The adaptation considers multiple factors including VIX regime, delta clarity meaning how strong and consistent the delta readings are, volume persistence, and time of day session weighting. The current adaptive weight is displayed in the dashboard and typically ranges from 0.05 to 0.50.
The adaptation speed setting controls how quickly the weight responds to changing conditions. A higher speed means faster adaptation but potentially more noise. A lower speed means smoother adaptation but potentially slower response to regime changes.
SESSION AWARENESS
Not all trading hours are equal. The indicator applies different weights to different trading sessions based on typical liquidity and reliability patterns. The open drive, which covers 9 30 to 10 30 AM Eastern time, receives a 1.4x weight multiplier because this is typically the highest volume and most directionally significant period of the day.
Power hour from 3 00 to 4 00 PM Eastern receives a 1.3x multiplier as institutional traders often execute their daily positioning in this final hour. The lunch hour from 11 00 AM to 2 00 PM receives a 0.9x multiplier due to typically lower volume and more choppy price action. Premarket receives 0.7x and after hours receives 0.5x due to thin liquidity and unreliable signals.
The current session is displayed in the dashboard header. Traders should consider reducing position sizes and widening stops during lower weight sessions, particularly premarket and after hours where the indicator readings are less reliable.
COMPOSITE SCORES
Bias Score
The Bias Score ranges from negative 100 to positive 100 and represents the indicators overall directional lean. It synthesizes delta analysis, VWAP momentum, and multi-timeframe confluence into a single number. A score above 50 indicates strong bullish bias. A score below negative 50 indicates strong bearish bias. Scores between negative 20 and positive 20 are considered neutral.
The visual bias meter in the dashboard shows this score as a bar that leans left for bearish or right for bullish. This provides an at a glance summary of the indicators current directional reading without needing to interpret multiple individual metrics.
Setup Quality Score
The Setup Quality Score ranges from 0 to 100 and measures how many factors are aligning to support a potential trade. It awards points for strong delta readings, volume persistence, multi-timeframe confluence, detection events like absorption or divergence, and favorable session timing. A score above 60 suggests multiple factors are confirming. A score below 30 suggests the setup lacks confirmation.
This score is designed to help traders filter trades. Rather than acting on every signal, traders can set a minimum quality threshold. For example, only taking trades when quality is above 50 will filter out lower probability setups. Higher thresholds mean fewer trades but potentially higher win rates.
Heat Score
The Heat Score measures overall market activity intensity and ranges from 0 to 100. It combines volume heat meaning how elevated current volume is relative to average, volatility heat based on ATR expansion or VIX levels, delta heat meaning how strong the current delta reading is, and deviation heat meaning how far price is from VWAP.
Markets with heat above 75 are classified as EXTREME and typically represent high opportunity but also high risk environments. Heat between 50 and 75 is ACTIVE and represents good trading conditions. Heat between 25 and 50 is NORMAL. Heat below 25 is QUIET and suggests range bound conditions where mean reversion strategies may outperform trend following.
DASHBOARD GUIDE
Header Row
The header row displays QWAP with a lightning bolt icon, the current session abbreviation like OPEN or POWER or LUNCH, the current regime classification, and VIX status with a colored indicator. Green indicates low VIX and favorable conditions. Yellow indicates elevated VIX. Red indicates high VIX or that VIX data is unavailable.
Signal Row
The signal row is the largest and most prominent element. It displays the primary signal which will be LONG, SHORT, REVERSAL, or WAIT. LONG appears when bias is strongly bullish and quality is high. SHORT appears when bias is strongly bearish and quality is high. REVERSAL appears when divergence or absorption is detected at an extreme sigma level. WAIT appears when conditions do not meet the threshold for a signal.
Next to the signal is the quality score displayed as Q followed by a number out of 100. This helps traders quickly assess how confirmed the signal is. A LONG signal with Q 72 is more compelling than a LONG signal with Q 45.
Order Flow Section
The delta row shows the current delta direction as BUY or SELL, the percentage strength, a visual indicator of strength with filled or empty circles, and an arrow indicating whether delta is accelerating or decelerating. The flow row shows whether activity is classified as INST BUY, INST SELL, or RETAIL, along with the number of intrabar data points used in the calculation.
Market Section
The heat row displays the heat score as a visual bar and numeric value. The vol row shows volatility state as EXPAND, COMPRESS, or NORMAL along with relative volume. The dist row shows distance from VWAP in sigmas and percentage, plus momentum direction.
Detection Section
This section only appears when detections are active. It displays warning icons next to detection types like BUY ABS, SELL ABS, BULL TRAP, BEAR TRAP, BULL DIV, BEAR DIV, BUY STACK, or SELL STACK. Each detection includes a score representing its strength or significance.
HOW TO USE THIS INDICATOR
Recommended Workflow
First, check the regime and session. If VIX is in FEAR mode or you are in premarket or after hours, consider reduced position sizing or waiting for better conditions.
Second, look at the primary signal and quality score. Signals with quality below 40 are low conviction. Consider requiring quality above 50 or 60 before acting.
Third, check the bias meter for overall directional lean. Ensure it aligns with your intended trade direction.
Fourth, review active detections. Absorption and divergence near VWAP bands increase reversal probability. Stacked imbalances support continuation.
Fifth, use VWAP and sigma bands for entry, stop, and target placement. The bands provide natural support and resistance levels based on statistical distribution.
Sixth, monitor for changes in delta and flow classification. Institutional activity transitioning to retail or delta reversing direction are warning signs.
TRADE EXAMPLES
Mean Reversion Setup
Price extended to 2.5 sigma above VWAP. Signal shows REVERSAL. Quality is 55. Absorption detected with BUY ABS showing score of 2.3. Delta is showing SELL at 45 percent despite price being elevated. This suggests buyers are being absorbed and a pullback to VWAP is likely. Enter short with stop above the 3 sigma band and target at VWAP or 1 sigma band.
Trend Continuation Setup
Signal shows LONG with quality 68. Bias meter shows STRONG BULL. BUY STACK detected with 4 consecutive imbalanced bars. Flow shows INST BUY. Price has pulled back to VWAP and is finding support. Heat is at 62 indicating ACTIVE conditions. Enter long on VWAP touch with stop below 1 sigma band and target at 2 sigma band.
Liquidity Sweep Setup
BEAR TRAP detected with score of 1.8. Price swept below recent lows but closed back above. Delta is showing BUY at 52 percent on the sweep bar. BULL DIV also active as price made lower low but delta made higher low. Signal shows REVERSAL with quality 58. Enter long with stop below the sweep low and target at VWAP.
HONEST ASSESSMENT OF STRENGTHS AND WEAKNESSES
Strengths
True CVD calculation using intrabar data is significantly more accurate than close greater than open approximations used by most indicators. This provides genuine insight into buying versus selling pressure.
VIX integration with term structure analysis is institutional grade thinking applied to a retail tool. Dynamic band adjustment prevents false signals in different volatility regimes.
Multiple detection systems provide different perspectives on the same market. Absorption, sweeps, divergence, and imbalances each capture different footprints of institutional activity.
Composite scores synthesize complex information into actionable numbers. Traders do not need to mentally integrate 15 different metrics. The quality score and bias score do this automatically.
Session awareness prevents trading during low quality periods. The automatic weighting helps filter out noise from premarket, after hours, and lunch periods.
Adaptive system self adjusts to market conditions. Traders do not need to manually tune parameters as volatility and activity change.
Weaknesses and Limitations
Intrabar data is still an approximation of true tick level order flow. Without actual tick data showing individual trades hitting bid versus lifting offer, even this calculation has error bars. Professional platforms like Sierra Chart or Quantower with direct exchange feeds will always have more accurate delta.
The indicator is computationally heavy. Users may experience slower chart loading particularly on lower end hardware or when viewing many bars. The optimization features help but cannot eliminate this cost entirely.
Institutional detection is probabilistic not definitive. Retail traders in aggregate can produce patterns that look institutional. Institutions can and do hide their activity. The INST BUY and INST SELL labels should be viewed as probability shifts not certainties.
The indicator works best on liquid instruments with significant volume. On thinly traded stocks or during illiquid periods, delta calculations become noisy and unreliable. The indicator is optimized for ES, NQ, SPY, QQQ, and similar high volume instruments.
VIX integration only works for US equity index products. If trading forex, crypto, or other asset classes, the VIX data is not directly applicable and should be disabled.
No indicator can predict the future. Order flow analysis shows what happened and what is happening. It cannot guarantee what will happen next. Large players can and do reverse their positioning. News events can invalidate any technical setup instantly.
The complexity of the indicator means there is a learning curve. New users may be overwhelmed by the number of metrics displayed. It takes time to develop intuition for what combinations of readings are significant.
The indicator does not include automated backtesting or historical performance statistics. Users cannot easily quantify the win rate or expected value of following its signals without manual journaling and analysis.
RISK MANAGEMENT GUIDELINES
This indicator is a tool not a trading system. It provides information that may help inform trading decisions but it does not make those decisions for you. Proper risk management is essential regardless of how compelling the indicator readings appear.
Position Sizing
Never risk more than 1 to 2 percent of your account on any single trade regardless of how high the quality score is. High quality setups still fail regularly. A setup with 70 percent win rate still loses 30 percent of the time, and those losses can come in clusters.
Consider reducing position size when VIX is in ELEVATED or FEAR regime, when trading during premarket or after hours sessions, when quality score is below 50, and when multiple detection systems are conflicting with each other.
Stop Loss Placement
The sigma bands provide natural levels for stop placement. For mean reversion trades, stops should typically be placed beyond the next sigma level. For example, if entering short at 2 sigma, place stop beyond 3 sigma. For trend trades entering at VWAP, consider stops beyond 1 sigma in the opposite direction.
Stops should also respect market structure. If there is a recent swing high or low near your calculated stop level, extend the stop beyond that swing point. Placing stops at obvious levels invites stop hunting.
In high VIX environments, consider wider stops. The VIX band multiplier automatically widens the sigma bands, and your stops should reflect this increased volatility. A stop that works in a 15 VIX environment may be too tight when VIX is 30.
Taking Profits
The sigma bands also provide natural profit targets. For mean reversion trades, VWAP itself is often the first target with the opposite 1 sigma band as an extended target. For trend trades, each sigma band can serve as a scaling point.
Pay attention to delta and flow changes as price approaches targets. If delta is weakening or flow classification shifts from institutional to retail, consider taking profits early. Conversely, if delta is strengthening into the target, consider holding for extension.
When to Avoid Trading
Consider sitting out when the signal shows WAIT and quality is below 30. In these conditions, the indicator is essentially saying there is no clear edge. Trading anyway is gambling not trading.
Avoid trading during major news events. The indicator cannot account for sudden information shocks. Economic releases, Fed announcements, earnings reports, and geopolitical events can invalidate any technical setup instantly.
Consider avoiding the first and last 5 minutes of regular trading hours. These periods often have erratic price action and unreliable delta calculations due to order imbalances at open and close.
SETTINGS REFERENCE
Core Engine Settings
VWAP Source determines what price is used for the VWAP calculation. The default HLC3 uses the average of high, low, and close which provides a balanced representation. HL2 uses just high and low average. Close uses only the closing price. Most traders should leave this at HLC3.
True CVD Engine should remain enabled for accurate order flow analysis. Disabling it falls back to close greater than open estimation which is significantly less accurate. Only disable if you are experiencing performance issues.
CVD Impact controls how much the delta analysis affects the VWAP calculation. Higher values mean delta has more influence. The default 0.2 provides a balance. Increase toward 0.5 if you want delta to have stronger effect. Decrease toward 0.1 if you want something closer to traditional VWAP.
Detection Sensitivity offers three presets. Conservative produces fewer signals but higher confidence. Balanced is the default middle ground. Aggressive produces more signals but with more false positives. New users should start with Balanced and adjust based on experience.
VIX Settings
VIX Integration should be enabled when trading US equity index products like ES, NQ, SPY, or QQQ. Disable it when trading forex, crypto, commodities, or individual stocks where VIX is not directly applicable.
VIX Symbol allows selection between VIX for SP500 volatility, VXN for Nasdaq volatility, and RVX for Russell 2000 volatility. Choose the one most relevant to your trading instrument.
VIX Baseline sets the historical average VIX level used for normalization. The default 16 represents the long term average. If trading in a persistently higher or lower VIX environment, adjusting this can help calibrate the regime classifications.
Display Settings
Dashboard Style offers three options. Compact shows only the signal and bias meter for minimal screen footprint. Elite adds order flow and market sections for balanced information. Full adds VIX details, detections, and adaptive system information for complete visibility.
FREQUENTLY ASKED QUESTIONS
Why does the indicator sometimes show WAIT when there is an obvious trend
The signal system is designed to identify high probability entry points not to constantly indicate trend direction. A strong uptrend may show WAIT because price is extended from VWAP and a pullback is likely before continuation. The indicator is trying to prevent you from buying the top of an impulse move.
Why is my delta reading different from another order flow tool
Different platforms calculate delta differently. Some use tick data. Some use time based aggregation. Some use volume based aggregation. The timeframe being analyzed matters as well. QWAP uses intrabar data which is more accurate than close versus open approximations but less accurate than true tick data from professional platforms.
Can I use this indicator for scalping
The indicator can be used on lower timeframes but becomes less reliable. On 1 minute charts, the intrabar decomposition has fewer data points to work with. For scalping, consider using 3 to 5 minute charts as a minimum. Also note that the session weighting and detection systems are calibrated for swing and intraday trading, not ultra short term scalping.
Does this indicator repaint
The VWAP line and sigma bands can adjust slightly as intrabar data comes in during a live bar. Once a bar closes, those values are fixed. The signals and detections are calculated on closed bars and do not repaint. For live trading, wait for bar close confirmation before acting on signals.
What markets does this work best on
The indicator is optimized for high liquidity US equity index products including ES, NQ, SPY, QQQ, IWM, and DIA. It can work on other liquid instruments but the VIX integration should be disabled for non equity products. Avoid using on low volume stocks or illiquid markets where delta calculations will be noisy.
DISCLAIMER
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance of any trading methodology is not indicative of future results. Trading futures, options, and other derivatives involves substantial risk of loss and is not suitable for all investors.
The creator of this indicator makes no guarantees about its accuracy or profitability. All trading decisions are the sole responsibility of the user. Before trading with real money, thoroughly test any strategy in simulation and ensure you understand the risks involved.
Order flow analysis provides information about market microstructure but cannot predict future price movements with certainty. Markets are complex adaptive systems influenced by countless variables including news events, economic data, central bank policy, geopolitical developments, and collective human psychology. No indicator can fully capture this complexity.
Use this tool as one input among many in your trading process. Combine it with sound risk management, proper position sizing, and continuous education. The best traders are those who remain humble about what they do not know and disciplined about protecting their capital.
52SIGNAL RECIPE VWAP Quantum Matrix Pro═══52SIGNAL RECIPE VWAP Quantum Matrix Pro ═══
◆ Overview
52SIGNAL RECIPE VWAP Quantum Matrix Pro is an advanced technical indicator based on Volume Weighted Average Price (VWAP), integrating volatility-adjusted bands and Fibonacci levels to provide multi-dimensional analysis of price movements.
It automatically applies optimized lookback periods for different timeframes, providing customized analysis for various trading styles, and helps traders effectively identify critical support/resistance zones through precise price level identification.
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◆ Key Features
• **Adaptive VWAP Bands**: Automatically adjusting upper and lower bands based on market volatility
• **Fibonacci Integration**: Fibonacci levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) extended around VWAP center
• **Timeframe Optimization**: Automatic lookback period adjustment for each chart cycle
• **Pivot Point Analysis**: Core support/resistance levels based on volume-weighted highs and lows
• **Precision Labeling**: Accurate numerical display for all major price levels
• **Visual Gradation**: Intuitive visualization through color gradation for each Fibonacci level
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◆ Technical Foundation
■ VWAP Calculation Principles
• **Volume Weighting**: Calculation of real equilibrium price considering volume rather than simple price averaging
• **Standard Deviation Bands**: Statistical fluctuation range setting around VWAP center
• **Volatility Adjustment Mechanism**: Dynamic band width adjustment using current ATR to historical ATR ratio
• **Precise Price Range**: Identification of highest/lowest price range within specified lookback period
■ Fibonacci Band Implementation
• **VWAP-Centered Extension**: Division of distance from centerline (VWAP) to standard deviation bands by Fibonacci ratios
• **Symmetrical Upper/Lower Structure**: Application of identical Fibonacci ratios in both upward and downward directions
• **Color Gradation**: Progressive color changes for each Fibonacci level providing visual depth
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◆ Practical Applications
■ Price Movement Interpretation
• **Central Reference Point**:
▶ VWAP serves as intraday/period equilibrium price providing balance point of buying/selling pressure
▶ Movement above/below VWAP can be interpreted as short-term bullish/bearish signals
• **Band Reaction Patterns**:
▶ Reaching outer bands (100%) signals overbought/oversold conditions
▶ Reaction patterns between Fibonacci levels provide basis for trend strength and persistence judgment
■ Trading Strategy Utilization
• **Range-bound Trading**:
▶ Short-term trading utilizing bounce patterns between Fibonacci levels
▶ Oscillation trading between centerline (VWAP) and Fibonacci levels
• **Trend Following Strategy**:
▶ Breakout of Fibonacci levels aligned above/below VWAP signals trend strengthening
▶ Strong momentum confirmation when re-entering after outer band breakout
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◆ Advanced Configuration Options
■ Input Parameter Guide
• **Base Standard Deviation** (Default: 2.0)
▶ 1.0-1.5: Narrow bands, suitable for short-term trading
▶ 1.8-2.2: Balanced bands, optimal for general market conditions
▶ 2.5-3.0: Wide bands, suitable for long-term positions
• **Maximum/Minimum Standard Deviation** (Default: 3.0/1.0)
▶ Maximum: Cryptocurrency (4.0), Stocks/Forex (3.0), Low volatility (2.5)
▶ Minimum: Intraday trading (0.8), General (1.0), Long-term (1.5)
• **Volatility Measurement Period** (Default: 20)
▶ Short-term (10-14): Fast response, intraday trading
▶ Medium-term (15-25): Balanced response, swing trading
▶ Long-term (30-50): Noise filtering, long-term investment
• **Use Volatility Adjustment** (Default: On)
▶ On: Automatic band width adjustment based on current market volatility (recommended)
▶ Off: Fixed standard deviation bands usage
■ Timeframe-Specific Optimal Settings
• **Intraday Trading** (15min-1hr): Base standard deviation 1.8, volatility period 14
• **Swing Trading** (4hr-daily): Base standard deviation 2.0, volatility period 20
• **Position Trading** (daily-weekly): Base standard deviation 2.5, volatility period 30
■ Market-Specific Optimal Settings
• **Stock Market**: Base standard deviation 2.0, volatility period 20
• **Forex Market**: Base standard deviation 1.8, volatility period 25
• **Cryptocurrency Market**: Base standard deviation 2.5, volatility period 14, maximum standard deviation 4.0
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◆ Synergy with Other Indicators
• **Moving Averages**: VWAP and major moving average crossovers strengthen trend reversal signals
• **RSI/Stochastic**: Combination of VWAP band reactions in overbought/oversold zones improves reversal signal accuracy
• **Bollinger Bands**: VWAP Quantum Matrix and Bollinger Band convergence/divergence patterns are useful for volatility change prediction
• **Fibonacci Retracement**: Strong support/resistance formation when trend-direction Fibonacci retracement matches VWAP Fibonacci levels
• **Horizontal Support/Resistance**: Reaction probability significantly increases when past important price levels match VWAP Fibonacci levels
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◆ Conclusion
VWAP Quantum Matrix Pro provides deep insights into price action by integrating volatility-adjusted bands and Fibonacci theory into traditional VWAP analysis.
It dynamically responds to market environment changes through volume weighting and volatility adaptation mechanisms, and can be flexibly applied to various trading styles through timeframe-optimized lookback period settings.
Through appropriate input parameter configuration, the indicator can be optimized to match each trader's style and objectives, and through combination with other technical indicators, it strengthens confidence in trading decisions, ultimately enabling more precise and systematic market approaches.
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※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══52SIGNAL RECIPE VWAP Quantum Matrix Pro ═══
◆ 개요
52SIGNAL RECIPE VWAP Quantum Matrix Pro는 거래량 가중 평균 가격(VWAP)을 기반으로 하는 고급 기술적 지표로, 변동성 조정 밴드와 피보나치 레벨을 통합하여 가격 움직임을 다차원적으로 분석합니다.
타임프레임별로 최적화된 룩백 기간을 자동 적용하여 다양한 거래 스타일에 맞춤화된 분석을 제공하며, 정밀한 가격 레벨 식별을 통해 트레이더가 중요한 지지/저항 구간을 효과적으로 파악할 수 있도록 돕습니다.
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◆ 주요 특징
• **적응형 VWAP 밴드**: 시장 변동성에 따라 자동으로 조정되는 상하단 밴드 제공
• **피보나치 통합**: VWAP 중심으로 피보나치 레벨(23.6%, 38.2%, 50%, 61.8%, 78.6%) 확장
• **타임프레임 최적화**: 각 차트 주기에 맞춰 자동으로 룩백 기간 조정
• **피봇 포인트 분석**: 거래량 가중 고저가 기반의 핵심 지지/저항 레벨 표시
• **정밀 레이블링**: 모든 주요 가격 레벨에 정확한 수치 표시
• **시각적 그라데이션**: 피보나치 레벨별 컬러 그라데이션으로 직관적인 시각화
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◆ 기술적 기반
■ VWAP 계산 원리
• **거래량 가중치**: 단순 가격 평균이 아닌 거래량을 고려한 실질적 균형 가격 계산
• **표준편차 밴드**: VWAP 중심으로 통계적 변동 범위 설정
• **변동성 조정 메커니즘**: 현재 ATR과 과거 ATR 비율을 활용한 동적 밴드폭 조정
• **정밀 가격 범위**: 지정된 룩백 기간 내 최고/최저 가격 범위 식별
■ 피보나치 밴드 구현
• **VWAP 중심 확장**: 중심선(VWAP)에서 표준편차 밴드까지의 거리를 피보나치 비율로 분할
• **상하단 대칭 구조**: 상승과 하락 방향으로 동일한 피보나치 비율 적용
• **색상 그라데이션**: 피보나치 레벨별 점진적 색상 변화로 시각적 깊이감 제공
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◆ 실용적 응용
■ 가격 움직임 해석
• **중심 기준점**:
▶ VWAP은 일중/기간 내 균형가격으로 매수/매도 압력의 균형점 제공
▶ VWAP 위/아래 움직임은 단기 강세/약세 신호로 해석 가능
• **밴드 반응 패턴**:
▶ 외부 밴드(100%)에 도달 시 과매수/과매도 상태 시그널
▶ 피보나치 레벨 간 반응 패턴은 추세 강도와 지속성 판단 근거
■ 트레이딩 전략 활용
• **범위 내 거래**:
▶ 피보나치 레벨 간 바운스 패턴 활용한 단기 매매
▶ 중심선(VWAP)과 피보나치 레벨 간 오실레이션 거래
• **추세 추종 전략**:
▶ VWAP 위/아래 정렬된 피보나치 레벨 돌파는 추세 강화 신호
▶ 외부 밴드 돌파 후 다시 진입 시 강한 모멘텀 확인
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◆ 고급 설정 옵션
■ 인풋 파라미터 가이드
• **기본 표준 편차 (Base Standard Deviation)** (기본값: 2.0)
▶ 1.0-1.5: 좁은 밴드, 단기 거래에 적합
▶ 1.8-2.2: 균형 잡힌 밴드, 일반적 시장 환경에 최적
▶ 2.5-3.0: 넓은 밴드, 장기 포지션에 적합
• **최대/최소 표준 편차 (Maximum/Minimum Standard Deviation)** (기본값: 3.0/1.0)
▶ 최대: 암호화폐(4.0), 주식/외환(3.0), 저변동성(2.5)
▶ 최소: 일중 거래(0.8), 일반(1.0), 장기(1.5)
• **변동성 측정 기간 (Volatility Measurement Period)** (기본값: 20)
▶ 단기(10-14): 빠른 반응, 일중 거래
▶ 중기(15-25): 균형 잡힌 반응, 스윙 트레이딩
▶ 장기(30-50): 노이즈 필터링, 장기 투자
• **변동성 조정 사용 (Use Volatility Adjustment)** (기본값: 켜짐)
▶ 켜짐: 현재 시장 변동성에 따라 밴드 폭 자동 조정 (권장)
▶ 꺼짐: 고정된 표준편차 밴드 사용
■ 타임프레임별 최적 설정
• **일중 거래** (15분-1시간): 기본 표준편차 1.8, 변동성 기간 14
• **스윙 트레이딩** (4시간-일봉): 기본 표준편차 2.0, 변동성 기간 20
• **포지션 트레이딩** (일봉-주봉): 기본 표준편차 2.5, 변동성 기간 30
■ 시장별 최적 설정
• **주식 시장**: 기본 표준편차 2.0, 변동성 기간 20
• **외환 시장**: 기본 표준편차 1.8, 변동성 기간 25
• **암호화폐 시장**: 기본 표준편차 2.5, 변동성 기간 14, 최대 표준편차 4.0
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◆ 다른 지표와의 시너지
• **이동평균선**: VWAP과 주요 이동평균선 교차는 추세 전환 신호 강화
• **RSI/스토캐스틱**: 과매수/과매도 구간에서 VWAP 밴드 반응과 결합 시 반전 신호 정확도 향상
• **볼린저 밴드**: VWAP Quantum Matrix와 볼린저 밴드 수렴/발산 패턴은 변동성 변화 예측에 유용
• **피보나치 리트레이스먼트**: 추세 방향 피보나치 리트레이스먼트와 VWAP 피보나치 레벨 일치 시 강력한 지지/저항 형성
• **수평 지지/저항**: 과거 중요 가격대와 VWAP 피보나치 레벨 일치 시 반응 확률 대폭 증가
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◆ 결론
VWAP Quantum Matrix Pro는 전통적인 VWAP 분석에 변동성 조정 밴드와 피보나치 이론을 통합하여 가격 행동에 대한 깊이 있는 통찰력을 제공합니다.
거래량 가중치와 변동성 적응 메커니즘을 통해 시장 환경 변화에 동적으로 대응하며, 타임프레임별 최적화된 룩백 기간 설정으로 다양한 거래 스타일에 유연하게 적용할 수 있습니다.
적절한 인풋 파라미터 설정을 통해 각 트레이더의 스타일과 목표에 맞게 지표를 최적화할 수 있으며, 다른 기술적 지표들과의 조합을 통해 트레이딩 결정에 대한 확신을 강화하고, 궁극적으로 더 정밀하고 체계적인 시장 접근을 가능하게 합니다.
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※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
The Trend SetterThe "Trend Setter" script is a technical indicator that combines several other indicators to identify trends and potential entry points in the market. It is designed to work with various financial markets, including stocks, forex, and futures, and can be used on any timeframe.
The script uses the TTM Squeeze indicator, Bollinger Bands, Keltner Channels, CCI, and Parabolic SAR to identify trends and potential entry points. The TTM Squeeze is a custom indicator that identifies periods of low volatility, while the Bollinger Bands and Keltner Channels are used to identify potential breakouts. The CCI is used to identify potential overbought and oversold conditions, and the Parabolic SAR is used to identify potential trend reversals.
The TTM Squeeze indicator is a combination of Bollinger Bands and Keltner Channels. The indicator creates a "squeeze" when the Bollinger Bands move inside the Keltner Channels. This indicates a period of low volatility and is often followed by a period of increased volatility or a breakout. The script uses this information to identify potential trading opportunities.
The Bollinger Bands are a popular indicator used to identify potential breakouts. They consist of a moving average (the basis) and two standard deviation lines (the upper and lower bands). When the price moves outside the bands, it is considered a potential breakout.
Keltner Channels are similar to Bollinger Bands but are based on the Average True Range (ATR) instead of standard deviation. They consist of an exponential moving average (the basis) and two lines that are offset from the basis by a multiple of the ATR. When the price moves outside the channels, it is considered a potential breakout.
The CCI (Commodity Channel Index) is used to identify potential overbought and oversold conditions. It measures the difference between the typical price (the average of the high, low, and close) and a moving average of the typical price. The result is then divided by a multiple of the mean deviation. When the CCI moves above a certain threshold, it is considered overbought, and when it moves below a certain threshold, it is considered oversold.
The Parabolic SAR (Stop and Reverse) is used to identify potential trend reversals. It consists of a series of dots that appear above or below the price, depending on the direction of the trend. When the price crosses the dots, it is considered a potential reversal.
The script plots arrow shapes on the chart to indicate long and short entry points, and can also generate alerts to notify the user of potential trading opportunities. The script uses the various indicators to determine the potential entry points based on the current market conditions.
Overall, the script is designed to help traders identify potential trading opportunities and make more informed trading decisions. However, as with any trading strategy or indicator, it is important to thoroughly test and validate the approach before using it in a live trading environment. Traders should also consider their risk tolerance and other factors before making any trades based on the indicator.
In assembling the different indicators in this script, there is a specific rationale for each one's inclusion, and how they work together to create a comprehensive trading strategy.
The TTM Squeeze indicator is used as a primary filter to identify periods of low volatility, as these are often followed by high volatility and potential breakouts. Bollinger Bands and Keltner Channels are then used to identify potential breakouts, with the former representing the upper and lower boundaries of price action and the latter representing the average price range. The inclusion of both indicators helps to confirm potential breakouts and provide a more comprehensive view of price action.
The CCI indicator is used as a momentum indicator to confirm potential trend reversals, by identifying overbought and oversold conditions. This is important because while breakouts can be identified using the TTM Squeeze and Bollinger Bands/Keltner Channels, they do not necessarily indicate the direction of the breakout. The CCI helps to confirm whether the price is overbought or oversold, and can indicate potential reversals or continuations of the trend.
Finally, the Parabolic SAR is used as a trend-following indicator to identify potential trend reversals, by placing dots above or below the price depending on the direction of the trend. This helps to identify potential reversal points in the trend and can be used in conjunction with other indicators to confirm potential entry and exit points.
In summary, the combination of these indicators is designed to provide a comprehensive view of the market, identifying periods of low volatility, potential breakouts, momentum changes, and trend reversals. By providing clear entry and exit points, the script aims to help traders make more informed trading decisions and improve their overall trading performance.
Abyss Protocol OneAbyss Protocol One — Momentum Exhaustion Trading System
Overview
Abyss Protocol One is a momentum exhaustion indicator designed to identify high-probability reversal points by detecting when price momentum has reached extreme levels. It combines Chande Momentum Oscillator (CMO) threshold signals with dynamic volatility-adjusted bands and multiple protective filters to generate buy and sell signals.
Core Concept
The indicator operates on the principle that extreme momentum readings (CMO reaching ±80) often precede mean reversion. Rather than chasing trends, Abyss Protocol waits for momentum exhaustion before signaling entries and exits.
Key Components
1. Dynamic Bands (Money Line ± ATR)
Center line uses linear regression (Money Line) for smooth trend representation
Bands expand and contract based on Bollinger Band Width Percentile (BBWP)
Low volatility (BBWP < 30): Tighter bands using lower multiplier
High volatility (BBWP > 70): Wider bands using higher multiplier
Bands visually adapt to current market conditions
2. CMO Exhaustion Signals
BUY Signal: CMO drops below -80 (oversold/momentum exhaustion to downside)
SELL Signal: CMO rises above +80 (overbought/momentum exhaustion to upside)
Thresholds are configurable for different assets and timeframes
3. ADX Filter
Signals only fire when ADX exceeds minimum threshold (default: 22)
Ensures there's enough directional movement to trade
Prevents signals during choppy, directionless markets
4. Band Contraction Filter
Calculates band width percentile rank over configurable lookback
When bands are contracted (below 18th percentile), ALL signals are blocked
Prevents trading during low-volatility squeeze periods where breakout direction is uncertain
5. Consecutive Buy Limit
Maximum of 3 consecutive buys allowed before a sell is required
Prevents overexposure during extended downtrends
Counter resets when a sell signal fires
6. Underwater Protection
Tracks rolling average of recent entry prices (last 10 entries within 7 days)
Blocks sell signals if current price is below average entry price
Prevents locking in losses during drawdowns
7. Signal Cooldown
Minimum 5-bar cooldown between signals
Prevents rapid-fire signals during volatile swings
8. Extreme Move Detection
Detects when price penetrates beyond bands by more than 0.6 × ATR
Extreme signals can bypass normal cooldown period
Fire intra-bar for faster response to capitulation/blow-off moves
Still respects max consecutive buys and underwater protection
Visual Features
Trend State Detection
The indicator classifies market conditions into six states based on EMA stack, price position, and directional indicators:
STRONG UP: Full bullish alignment (EMA stack + price above trend + bullish DI + ADX > threshold)
UP: Moderate bullish conditions
NEUTRAL: No clear directional bias
DOWN: Moderate bearish conditions
STRONG DOWN: Full bearish alignment
CONTRACTED: Bands squeezed, volatility low
ADX Trend Bar
Colored dots at chart bottom provide instant trend state visibility:
Lime = Strong Uptrend
Blue = Uptrend
Orange = Neutral
Red = Downtrend
Maroon = Strong Downtrend
White = Contracted
Volume Spike Highlighting
Purple background highlights candles where volume exceeds 2x the 20-bar average, helping identify institutional activity or significant market events.
Signal Labels
Buy labels show consecutive buy count (e.g., "BUY 2/3"), price, and CMO value
Sell labels show consecutive sell count, price, and CMO value
Extreme signals display in distinct colors (cyan for buys, fuchsia for sells)
Signal candles turn bright blue for easy identification
Info Panel
Real-time dashboard displaying:
Current trend state
CMO value with threshold status
CMO thresholds (buy/sell levels)
ADX with directional indicator (▲/▼) and signal eligibility
BBWP percentage
Buy/Sell counters
Average entry price (with underwater shield indicator 🛡 when protected)
Price position relative to Money Line
Band width percentile rank
Extreme move status
Signals status (OPEN/BLOCKED)
Recommended Use
Timeframe: 5-15 minute charts (parameters tuned for this range)
Best suited for: Assets with regular oscillations between overbought/oversold extremes
Trading style: Mean reversion, momentum exhaustion, scaled entries
Parameters Summary
Money Line Length: 12 — Smoothing for center line
ATR Length: 10 — Volatility measurement
Band Multiplier (Low/High Vol): 1.5 / 2.5 — Dynamic band width
CMO Length: 9 — Momentum calculation period
CMO Buy/Sell Threshold: -80 / +80 — Signal trigger levels
ADX Min for Signals: 22 — Minimum trend strength
Signal Cooldown: 5 bars — Minimum bars between signals
Max Consecutive Buys: 3 — Position scaling limit
Band Contraction Threshold: 18th %ile — Low volatility filter
Band Contraction Lookback: 188 bars — Percentile calculation period
Extreme Penetration: 0.6 × ATR — Threshold for extreme signals
Neural Fusion ProNeural Fusion Pro
Overview
Neural Fusion Pro is a multi-factor scoring system that combines numerous technical analysis methods into a single unified score. Rather than requiring traders to monitor multiple indicators separately, this system synthesizes trend strength, momentum oscillators, volume confirmation, price structure, and price action quality into one composite reading that adapts to current market conditions.
The Scoring System
At the heart of this indicator is a weighted scoring algorithm that produces a value between -1.0 and +1.0. Positive scores indicate bullish conditions across the measured factors, while negative scores suggest bearish conditions. The magnitude of the score reflects the strength of conviction across indicators.
The score is calculated from five distinct components, each capturing a different aspect of market behavior. Users can adjust the weight given to each component based on their trading style and market preferences.
Component 1: Trend Strength and Direction
This component uses the Average Directional Index to measure trend strength and the Directional Movement indicators to determine trend direction. When ADX exceeds the trending threshold, indicating a directional market, the component contributes a positive score if the positive directional indicator leads, or a negative score if the negative directional indicator leads. In ranging markets where ADX is low, this component contributes minimally to avoid false trend signals.
Component 2: Multi-Factor Momentum
Rather than relying on a single oscillator, this component synthesizes readings from RSI, MACD histogram, Stochastic, CCI, and Rate of Change. Each oscillator is normalized to a common scale and weighted according to its reliability characteristics. RSI readings are compared against dynamic thresholds that adjust based on trend state, making the indicator more forgiving in uptrends and more demanding in downtrends.
The component also includes divergence detection. When price makes a higher high but RSI makes a lower high (bearish divergence), or when price makes a lower low but RSI makes a higher low (bullish divergence), the divergence score adjusts the momentum component accordingly.
Component 3: Volume Confirmation
Volume provides crucial confirmation of price movements. This component analyzes On-Balance Volume relative to its moving average and measures the slope of OBV to determine whether volume is supporting the price trend. Additionally, it monitors relative volume by comparing current volume to its recent average, adding confirmation when volume spikes accompany price movements.
Component 4: Price Structure and Volatility
This component evaluates where price sits within the dynamic bands and considers the current volatility regime. When price is near the lower band, the component contributes a bullish score, suggesting potential support. When price is near the upper band, it contributes a bearish score, suggesting potential resistance.
The volatility regime assessment uses ATR percentile ranking. Low volatility periods often precede significant moves, while extremely high volatility may indicate unsustainable conditions.
Component 5: Price Action Quality
This component examines the character of recent candles by tracking the ratio of bullish to bearish candles over a lookback period. Consistent bullish price action contributes a positive score, while consistent bearish action contributes negatively. This helps filter signals by confirming that price behavior aligns with other factors.
Dynamic Bands
The indicator plots adaptive bands around a central basis line. The basis can be configured as either a simple or exponential moving average. Band width is determined by ATR multiplied by a dynamic factor that incorporates both ADX (expanding bands in trending markets) and the Chaikin Oscillator (expanding bands during strong accumulation or distribution).
These bands serve multiple purposes: they provide visual context for price position, they define signal trigger zones, and they help identify overextended conditions.
Trend State Detection
The indicator classifies market conditions into three states that affect signal generation and threshold levels.
Strong Uptrend is identified when ADX is rising, ADX exceeds the strong trend threshold, and the positive directional indicator exceeds the negative. This state triggers the most aggressive buy settings, allowing entries on shallow pullbacks.
Downtrend is identified when the negative directional indicator exceeds positive DI and ADX confirms directional movement. This state applies the most conservative buy settings, requiring deep oversold conditions before generating buy signals.
Neutral applies when neither trend condition is met, using moderate threshold settings appropriate for range-bound or transitional markets.
Dynamic RSI Thresholds
A key innovation is the automatic adjustment of RSI thresholds based on trend state. In a strong uptrend, the buy RSI threshold might be set to 50, allowing entries when RSI merely pulls back to neutral rather than requiring oversold conditions. The sell threshold rises to 72, keeping traders in positions longer during favorable conditions.
In downtrends, the buy RSI threshold drops to 25, ensuring buys only trigger on genuine capitulation. The sell threshold drops to 64, making exits easier to trigger.
In neutral markets, traditional oversold and overbought levels apply, with buy triggers around RSI 30 and sell triggers around RSI 68.
This adaptive approach prevents the common problem of indicators that work well in one market environment but fail in others.
Dynamic Cooldown
The signal cooldown period adjusts based on trend strength. During normal conditions, a standard cooldown prevents signal clustering. When ADX exceeds the strong trend threshold and is rising, indicating a powerful trend, the cooldown period extends. This helps traders stay in winning positions longer by reducing the frequency of counter-trend signals.
Cascade Protection
The indicator includes protection mechanisms to prevent overtrading and averaging down into losing positions.
The BBWP (Bollinger Band Width Percentile) monitor tracks current volatility relative to historical levels. When BBWP exceeds a threshold, indicating a volatility spike often associated with sharp moves, all buy signals are frozen. This protects against entering during panic selloffs or blow-off tops.
The consecutive buy counter tracks how many buy signals have occurred without an intervening sell. After reaching the maximum (default 3), no additional buy signals are generated until a sell occurs. This prevents the destructive pattern of repeatedly buying a declining asset.
Both protection mechanisms are displayed in the information panel, allowing traders to understand why signals may or may not be firing.
Signal Generation
Buy signals require price to touch or penetrate the lower band, RSI to be below the dynamic threshold, and the market to be in a trending state (when that filter is enabled). Additionally, the cooldown period must have elapsed and cascade protection must not be blocking buys.
Sell signals require price to touch or penetrate the upper band, RSI to be above the dynamic threshold, and the cooldown to have elapsed.
Signal labels display the entry price, signal type (shallow dip, capitulation, extended, bounce sell, or neutral), and the current position in the consecutive buy count.
Visual Components
The indicator provides multiple layers of visual feedback.
Cloud shading between the bands changes based on whether the composite score is in a buy zone or sell zone. Green clouds indicate bullish score readings, while red clouds indicate bearish readings.
Background coloring reflects the overall market regime. Green background indicates a bullish regime (positive DI leadership with volume confirmation), red indicates bearish regime, and white indicates neutral conditions.
An ADX bar at the bottom of the chart uses color coding: white for ranging (very low ADX), orange for flat, and blue for trending conditions.
The information panel displays the composite score with color coding, current trend state, active RSI thresholds, divergence status, BBWP freeze status, buy counter, market regime, ADX value with trend indicator, current cooldown setting, and live RSI reading color-coded against the active thresholds.
A debug panel can be enabled to show the individual component scores, helping users understand what is driving the composite reading.
How to Use
Monitor the composite score in the information panel. Readings above the buy threshold combined with price near the lower band represent potential long entries. Readings below the sell threshold with price near the upper band suggest exit opportunities.
Pay attention to the trend state. In strong uptrends, be more willing to buy dips and more patient with holding positions. In downtrends, require stronger confirmation before entering and be quicker to take profits on bounces.
Watch the cascade protection status. If BBWP shows frozen or the buy counter is approaching maximum, exercise additional caution regardless of other signals.
Use the dynamic RSI thresholds as context. When the panel shows buy RSI threshold at 50 (strong uptrend), even a pullback to RSI 45 is a potential entry. When the threshold shows 25 (downtrend), wait for genuine capitulation conditions.
Component Weight Adjustment
The relative importance of each scoring component can be adjusted through the settings. The default weights emphasize trend strength (30%) and momentum (25%), with volume (20%), price structure (15%), and price action (10%) providing confirmation.
For trend-following strategies, consider increasing trend and momentum weights. For mean-reversion approaches, increase the price structure weight to emphasize band position. The weights should sum to approximately 1.0 for proper score scaling.
Settings Guidance
The default settings are calibrated for cryptocurrency markets on lower timeframes. For traditional markets or longer timeframes, consider adjusting the ADX trending threshold (lower values for less volatile assets), the dynamic RSI levels for each trend state, and the cascade protection parameters.
The Heikin Ashi option for band calculation can provide smoother bands but may introduce slight lag. The default setting uses standard price data for better real-time accuracy.
Tactical Deviation🎯 TACTICAL DEVIATION - Volume-Backed VWAP Deviation Analysis
What Makes This Different?
Unlike basic VWAP indicators, Tactical Deviation combines:
• Multi-timeframe VWAP deviation bands (Daily/Weekly/Monthly)
• Volume spike intelligence - signals only appear with volume confirmation
• Pivot reversal detection at deviation extremes
• Optional multi-VWAP confluence system
• Smart defaults for quality over quantity
This unique combination filters weak setups and identifies high-probability entries at extreme price deviations from fair value.
📊 DEFAULT SETTINGS (Ready to Use)
✅ Daily VWAP with ±2σ deviation bands
✅ Volume spike detection (1.5x average required)
✅ 2σ minimum deviation for signals
❌ Weekly/Monthly VWAPs (enable for multi-timeframe)
❌ Pivot reversal requirement (enable for stronger signals)
❌ Fill zones (optional visual enhancement)
Why: Daily VWAP is most relevant for intraday trading. 2σ bands catch meaningful moves. Volume spikes ensure conviction. Clean chart focuses on what matters.
🚀 HOW TO USE
BASIC USAGE:
• Green triangles (below bars) = Long signals at oversold deviations
• Red triangles (above bars) = Short signals at overbought deviations
SIGNAL QUALITY:
• Normal size, bright colors = Volume spike (best quality)
• Small size, lighter colors = Volume momentum
• Tiny size = No volume confirmation
DEVIATION ZONES:
• ±2σ = Extreme deviation (signals appear here)
• ±1σ to ±2σ = Extended but not extreme
• Within ±1σ = Normal range
TRADING APPROACHES:
Mean Reversion:
→ Enter when price reaches ±2σ with volume spike
→ Target: Return to VWAP or opposite band
→ Stop: Beyond extreme deviation
Trend Continuation:
→ Use bands to identify pullbacks
→ Enter pullback to VWAP in trending market
→ Volume confirms continuation
Reversal Trading:
→ Enable "Require Pivot Reversal" for stronger signals
→ Signals only when deviation + pivot reversal occur
→ Higher probability, fewer signals
⚙️ EXPLORE SETTINGS FOR FULL USE
VWAP SETTINGS:
• Show Weekly/Monthly VWAP = Multi-timeframe context
• Show ±1σ Bands = Normal deviation range
• Show ±3σ Bands = Extreme extremes (rare but powerful)
SIGNAL SETTINGS:
• Min Deviation: 1σ (more signals) | 2σ (default) | 3σ (fewer, extreme only)
• Require Pivot Reversal: OFF (default) | ON (stronger but fewer)
• Volume Spike Threshold: 1.5x (default) | 2.0x+ (major spikes) | 1.2x (more signals)
CONFLUENCE SETTINGS:
• Require Multi-VWAP Confluence: OFF (default) | ON (2+ VWAPs must agree)
• Min VWAPs: 2 (Daily + Weekly/Monthly) | 3 (all must agree)
VISUAL SETTINGS:
• Show Fill Zones = Shaded areas between bands
• Fill Opacity = Transparency adjustment
• Line Widths = Customize thickness
💡 PRO TIPS
1. Start with defaults, then enable features as you learn
2. Volume spike requirement filters weak moves - keep it enabled
3. Enable Weekly/Monthly VWAPs for higher timeframe context
4. Enable confluence for swing trading setups
5. Pivot reversals: ON for reversals, OFF for continuations
6. Check top-right info table for current deviation levels
🎨 VISUAL GUIDE
• Cyan Line = Daily VWAP (fair value)
• Cyan Bands = Daily deviation zones
• Orange Line = Weekly VWAP (if enabled)
• Purple Line = Monthly VWAP (if enabled)
• Green Triangle = Long signal (oversold)
• Red Triangle = Short signal (overbought)
⚠️ IMPORTANT
Educational purposes only. Always use proper risk management. Signals are based on statistical deviation, not guarantees. Volume confirmation improves quality but doesn't guarantee outcomes. Combine with your own analysis.
The unique combination of VWAP deviation analysis, volume profile confirmation, pivot identification, and multi-timeframe confluence in a single clean interface makes Tactical Deviation different from basic VWAP indicators.
Happy Trading! 📈
Crypto Schlingel - PVSRA POC EMA Suite v5.903The Chart Indicator Suite combines a wide range of powerful tools that help traders accurately analyze market structures, volatility, and key price zones. With indicators such as POC, pivot points, EMAs, VWAP, Bollinger Bands, and important market levels such as yesterday/weekly high & low, daily open, psy high/low, and ADR, the suite offers a comprehensive overview of trends and market behavior. Supplemented by pvsra candles, long candle detection, and the display of relevant stock market opening hours, it reliably supports traders in making informed trading decisions.
Indicators are configurable
All of the indicators mentioned are fully configurable and can be flexibly adapted to individual trading strategies. Users can freely adjust parameters, display types, and sensitivities to highlight exactly the market information that is relevant to their personal trading style.
The individual fields in the configuration are self-explanatory or are explained in a toolbar, so that the possible settings become clear.
POC
The Point of Control (POC) is a central concept in market profile and volume profile analysis and plays an important role in technical chart analysis. Here is a detailed description of its usefulness and significance:
Definition
The point of control (POC) is the price level at which the most trading volume has taken place within a certain period of time.
It therefore shows the price at which buyers and sellers were most active – the center of market interest.
📊 Use and significance in chart analysis
1. Central support and resistance zone
Since the largest volume was traded at the POC, this price is considered a “fair zone” or equilibrium price.
The market often reacts strongly to the POC:
Above the POC → potential resistance if the price is coming from below.
Below the POC → potential support if the price is falling from above.
Example: If the price returns to the POC, this can be an entry opportunity for traders betting on a market reaction.
2. Interpretation of market acceptance
A price range with high volume (including POC) shows where the market has accepted a fair value.
Low volume, on the other hand, indicates rejection or disinterest.
→ The POC therefore helps to distinguish between accepted price zones and transition areas.
PIVOT POINTS
Pivot points are predefined price levels calculated from the previous day's price data (or a previous time unit).
They help traders identify potential support and resistance zones for the current trading day (or period).
Benefits of pivot points in chart analysis
1. Determining support and resistance areas
The calculated pivot levels (P, S1, S2, R1, R2, etc.) show where the market is likely to react:
Supports (S1, S2, S3) → possible downward turning points.
Resistance (R1, R2, R3) → possible upward turning points.
These zones are often observed by many traders at the same time, making them self-fulfilling marks.
2. Trend determination and market sentiment
If the market opens above the pivot (P) and remains there → signals buying pressure.
If the market trades below the pivot (P) → signals selling pressure.
A break above R1 or below S1 may indicate a strong trend day.
EMA Exponential Moving Average
The EMA is the exponentially weighted moving average of a price.
It shows the average price of a security over a certain period of time, weighted according to recency – that is:
👉 more recent price data has more influence than older data.
This distinguishes it from the simple moving average (SMA), in which all values are weighted equally.
Benefits of the EMA in chart analysis -> Identifying trends
The EMA reacts more quickly to price changes than the SMA and is therefore ideal for:
Identifying trend reversals at an early stage
Confirming trend directions
👉 Rising EMA → Upward trend
👉 Falling EMA → Downward trend
Traders often use combinations such as:
EMA 50 / EMA 200 → Long-term trends
SIGNIFICANCE OF HIGHS AND LOWS
The daily high, daily low, weekly high, and weekly low are objective price zones that show:
Where the market bought (high) or sold (low) the most, and where supply and demand reached their extremes in the past period.
These levels often act as magnetic price zones in ongoing trading, where traders react (entry, profit-taking, or stop setting).
🎯 Use of yesterday's high and low (previous day high/low)
🔹Support and resistance levels
Yesterday's high often acts as resistance when the price comes from below.
Yesterday's low becomes support when the price falls from above.
➡️ Traders watch these levels closely to trade breakouts or reversals.
EMA 9 / EMA 20 → Short-term movements
🎯 Benefits of weekly highs and lows (Weekly High/Low)
Important structural markers in the higher time frame
Weekly highs and lows show medium to long-term market structure.
They are often considered stronger supports/resistances than daily levels.
➡️ For example, if the price breaks above the weekly high, this usually signals institutional interest and may indicate a continuation of the trend.
➡️ Conversely, failure to break above a weekly high may indicate market weakness or a reversal.
DAILY OPEN
The Daily Open is the price at which trading begins on a new day.
It marks the first price after the close of the previous trading session.
👉 In many markets (e.g., Forex, index futures, crypto), this is the starting point of daily price movement, where market direction and sentiment realign.
🎯 Benefits of the Daily Open in chart analysis
Direction indicator (daily bias)
The Daily Open serves as a neutral center line for the current trading day.
Traders use it to assess the market direction (bias):
Price above the Daily Open → bullish day (buyers dominate)
Price below the daily open → bearish day (sellers dominate)
📈 → If the daily open is broken and held above, this indicates upward momentum.
📉 → If it is broken below, this signals weakness.
This simple observation helps traders trade with the daily trend rather than against it.
STOCK MARKET OPENING HOURS
Every major stock exchange has defined trading hours during which institutional capital is active.
Examples (CET):
Asia (Tokyo/ Hong Kong) 1:00 a.m. – 9:00 a.m.
Europe (London/Frankfurt) 08:00 – 17:30
USA (New York) 15:30 – 22:00
Market dynamics change significantly during these time windows, as volume, liquidity, and volatility fluctuate depending on the session.
📈 Benefits in chart analysis
🔹Recognizing volatility and liquidity phases
At the start of a session (e.g., 9:00 a.m. in Frankfurt or 3:30 p.m. in New York), trading volume rises sharply.
This results in strong movements, often with changes in direction or breakouts.
👉 These phases are particularly suitable for:
Breakout strategies
Volume or momentum trades
Example:
If an index (e.g., DAX or S&P 500) reacts strongly at the US opening, this indicates institutional activity that may shape the rest of the day.
PSY HIGH AND PSY LOW
Psy High and Psy Low stand for:
Psychological High → the psychologically significant upper price level of a particular range
Psychological Low → the psychologically significant lower price level
These are often round numbers or striking price zones that market participants unconsciously use as a guide.
Examples:
For EUR/USD: 1.0500, 1.1000, 1.1500
For DAX: 17,000, 17,500, 18,000
For BTC/USD: 60,000, 65,000, 70,000
Traders also refer to such levels as “big figures” or “round numbers.”
📊 Why are psy levels so important?
Because they are based on human perception and market psychology:
👉 People think in round numbers, not in decimals such as 1.1037 or 17.264.
That's why:
Private investors often place their stop losses or take profits just above or below these levels, Institutional traders place large limit orders in these zones, and Algorithms react to the liquidity created there.
→ This results in increased volume, reaction patterns, and price movements at these levels.
ADR (Average Daily Range)
The ADR measures the average daily trading range of a market over a specific period of time – i.e., how many points, pips, or dollars the price typically moves per day.
Example:
If the DAX has moved an average of 180 points per day over the last 14 days, the ADR(14) = 180.
🎯 The benefits of ADR in chart analysis
🔹 Assessment of daily volatility
The ADR shows how much a market typically moves per day.
→ This allows you to see whether the current day is more volatile or calmer than normal.
Interpretation – Meaning
Current range < ADR
→ Market is still moving within normal limits → Potential for further movement
Current range ≈ ADR
→ Daily target largely achieved → lower probability of significant expansion
Current range > ADR
→ Market overextended → increased probability of correction or consolidation
👉 This helps you to plan entries, price targets, and stops realistically.
VWAP (Volume Weighted Average Price)
The VWAP is the volume-weighted average price of a security for a specific period of time – usually per day.
👉 Unlike a simple moving average (e.g., EMA), the VWAP takes into account how much was actually traded – not just where the price was.
It therefore reflects the fair market value, taking into account the trading volume.
🎯 Benefits of VWAP in chart analysis
🔹 Determining the fair average price
The VWAP shows where the majority of the trading volume took place – i.e., the price that the majority of market participants actually paid.
➡️ This is the “fair price of the day.”
Price above VWAP → buyers dominate (bullish)
Price below VWAP → sellers dominate (bearish)
This information is particularly valuable for determining the intraday bias (direction of the day).
BOLLINGER BANDS
Bollinger Bands consist of three lines based on a moving average (usually SMA 20):
Middle band:
→ usually the 20-period SMA (simple moving average)
Upper band:
→ SMA + (2 × standard deviation)
Lower band:
→ SMA − (2 × standard deviation)
👉 This means that the bands “breathe” with volatility – they widen when the market is volatile and contract when the market is calm.
🎯 The benefits of Bollinger Bands in chart analysis
🔹 Measuring market volatility
The main function of Bollinger Bands is to visualize the volatility of a market:
Wide bands → high volatility → strong movement/trend phase
Narrow bands → low volatility → calm market/consolidation
📈 When the bands contract sharply (“Bollinger squeeze”) → often a harbinger of an impending breakout.
KAMA
The KAMA was developed by Perry J. Kaufman.
Unlike normal moving averages such as SMA or EMA, it dynamically adjusts its smoothing to market conditions:
Low volatility / strong trend → reacts faster to price movements
High volatility / sideways movement → reacts slower, reduces false signals
The core idea: adaptability instead of rigid smoothing.
🎯 Benefits of KAMA in chart analysis
🔹 Filtering out market noise
KAMA smooths out unnecessary price fluctuations (noise) that many normal indicators mistakenly interpret as signals.
➡️ This minimizes false signals in sideways phases, while real trends remain visible.
EXTRA LARGE WICKS
A wick (or wick) is the thin line above or below the candle body:
Top → Highest price during the period
Bottom → Lowest price during the period
Long wick → Significant rejection of the price at this extreme zone
Example: A long upper wick means that the price rose high but was then pushed back sharply.
🎯 Benefits of long wicks in chart analysis
🔹 Recognizing rejections and resistance
Long upper wick: Sellers did not allow the higher price → possible downward reversal
Long lower wick: Buyers defended the lower price → possible upward reversal
💡 The market “speaks” through these wicks: It shows where buyers or sellers are not giving in any further.
Squeeze Go Momentum Pro [KingThies] █ OVERVIEW
The Squeeze Momentum Pro indicator identifies volatility compression phases and breakout opportunities by comparing Bollinger Bands to Keltner Channels. When price consolidates (squeeze), the bands contract inside the channels, signaling an imminent breakout. The momentum histogram shows directional bias, helping traders anticipate which way price will move when the squeeze releases.
This indicator displays in a separate panel below the price chart, providing clear visual signals without cluttering price action.
█ KEY FEATURES
Momentum Histogram
The histogram is the primary visual element, displaying momentum strength and direction with four distinct color states:
• Dark Green (#00C853) — Strong bullish momentum that is increasing. This signals strengthening upward pressure and potential continuation.
• Light Green (#26A69A) — Bullish momentum that is decreasing. Price remains in bullish territory but upward force is weakening.
• Dark Red (#D32F2F) — Strong bearish momentum that is increasing. This signals strengthening downward pressure and potential continuation.
• Light Red (#EF5350) — Bearish momentum that is decreasing. Price remains in bearish territory but downward force is weakening.
The color intensity provides immediate feedback on momentum strength and trend health.
Squeeze State Indicator
Colored dots on the zero line communicate the current volatility state:
• Orange Dots — Squeeze is ON. Bollinger Bands have contracted inside Keltner Channels, indicating consolidation and low volatility.
A breakout is building and traders should prepare for directional movement.
• Green Dots — Squeeze is OFF. Bollinger Bands have expanded outside Keltner Channels, indicating active momentum and higher volatility.
Price is moving with conviction in the current direction.
• Gray Dots — Neutral state. The bands are transitioning between squeeze states.
Release Triangles
Triangle shapes mark the exact bar when a squeeze releases, providing precise entry timing:
• Green Triangle Up — Bullish squeeze release. The squeeze has ended with positive momentum, suggesting a long setup opportunity.
• Red Triangle Down — Bearish squeeze release. The squeeze has ended with negative momentum, suggesting a short setup opportunity.
Information Panel
A compact dashboard in the top-right corner displays real-time trading intelligence:
• Squeeze Status — Current state: ON, OFF, or NEUTRAL with color coding
• Momentum Direction — Current bias: BULL or BEAR
• Momentum Value — Precise numerical reading of momentum strength
• Trading Signal — Actionable status: LONG SETUP, SHORT SETUP, WAIT, or MONITOR
Configurable Parameters
All calculation inputs are adjustable to match your trading style and timeframe:
• BB Length — Bollinger Bands period (default: 20)
• BB StdDev — Bollinger Bands standard deviation multiplier (default: 2.0)
• KC Length — Keltner Channels period (default: 20)
• KC ATR Multiplier — Keltner Channels range multiplier (default: 1.5)
• Momentum Length — Linear regression period for momentum calculation (default: 20)
Alert System
Four alert conditions notify you of critical trading opportunities:
• Bullish Squeeze Release — Squeeze has released with bullish momentum, indicating a potential long entry
• Bearish Squeeze Release — Squeeze has released with bearish momentum, indicating a potential short entry
• Squeeze Started — Volatility compression detected, prepare for upcoming breakout
• Squeeze Ended — Volatility expansion confirmed, breakout is active
█ TRADING METHODOLOGY
The indicator follows a clear four-step process for identifying and trading squeeze breakouts:
1 - Wait for Orange Dots . When orange dots appear on the zero line, a squeeze is building. This indicates price consolidation and declining volatility.
Do not enter trades during this phase. Instead, prepare by identifying key support and resistance levels and potential breakout directions.
2 - Watch for Release Triangle . When a triangle appears, the squeeze has released and a breakout is beginning. This is your entry signal.
The triangle color (green up or red down) combined with the histogram direction indicates the breakout direction.
3 - Confirm with Histogram Direction . Check the momentum histogram for directional confirmation:
• Green histogram + green triangle up = Go long. Bullish momentum supports upward breakout.
• Red histogram + red triangle down = Go short. Bearish momentum supports downward breakout.
4 - Monitor Momentum Intensity . Stay in the trade while histogram bars maintain their dark, intense color.
When colors lighten (dark green to light green, or dark red to light red), momentum is weakening and you should consider taking profits or tightening stops.
█ INTERPRETATION GUIDE
Squeeze Detection Logic
A squeeze occurs when Bollinger Bands contract inside Keltner Channels. This happens when:
• Standard deviation of price decreases (BB narrows)
• Price consolidates within a tight range
• Volatility compresses to unsustainable levels
The orange dots signal this condition, warning traders that explosive movement is imminent.
Squeeze Release Logic
A squeeze releases when Bollinger Bands expand outside Keltner Channels. This happens when:
• Price volatility increases sharply
• Price breaks out of consolidation
• Volume typically expands (check volume separately)
The green dots and release triangles signal this condition, indicating the direction and timing of the breakout.
Momentum Reading
The histogram uses linear regression to calculate momentum relative to the midpoint of the recent range:
• Above Zero : Price is trading above the range midpoint with bullish pressure
• Below Zero : Price is trading below the range midpoint with bearish pressure
• Increasing Bars : Momentum is strengthening in the current direction (darker color)
• Decreasing Bars : Momentum is weakening in the current direction (lighter color)
█ BEST PRACTICES
• Timeframe Selection — The indicator works on all timeframes but performs best on 15-minute to daily charts.
Lower timeframes may produce more false signals due to noise.
• Confluence Trading — Combine squeeze releases with support/resistance levels, trend lines, or other indicators for higher probability setups.
• Volume Confirmation — Check that squeeze releases occur with increasing volume. Low volume breakouts are more likely to fail.
• Multiple Timeframe Analysis — Check higher timeframes for overall trend direction. Trade squeeze releases that align with the larger trend.
• Parameter Adjustment — Increase BB and KC lengths for smoother signals on higher timeframes. Decrease for more sensitive signals on lower timeframes.
█ LIMITATIONS
• The indicator does not predict breakout direction before the squeeze releases. The momentum histogram provides bias but is not definitive until the breakout occurs.
• False breakouts can occur, particularly in choppy or low-volume market conditions. Always use proper risk management and stop losses.
• The indicator works best in trending markets. In deeply ranging markets with no clear direction, squeeze signals may be less reliable.
• Momentum calculations use linear regression which can lag during extremely fast price movements. Confirm signals with price action.
█ NOTES
This implementation uses linear regression for momentum calculation rather than simple moving averages, providing more responsive and accurate directional signals. The four-color histogram system gives traders nuanced feedback on momentum strength that binary color schemes cannot provide.
The indicator automatically adjusts to any symbol and timeframe without modification, making it suitable for stocks, forex, crypto, and futures markets.
█ CREDITS
Squeeze methodology inspired by John Carter's TTM Squeeze indicator. Momentum calculation and visual design optimized for modern trading workflows.
