TASC 2023.12 Growth and Value Switching System█ OVERVIEW
This script implements a rotation system for trading value and growth ETFs, as developed by Markos Katsanos and detailed in the article titled 'Growth Or Value?' in TASC's December 2023 edition of Traders' Tips . The purpose of this script is to demonstrate how short-term momentum can be employed to track market trends and provide clarity on when to switch between value and growth.
█ CONCEPTS
The central concept of the presented rotation strategy is based on the observation that the stock market undergoes cycles favoring either growth or value stocks. Consequently, the script introduces a momentum trading system that is designed to switch between value and growth equities based on prevailing market conditions. Specifically tailored for long-term index investors, the system focuses on trading Vanguard's value and growth ETFs ( VTV and VUG ) on a weekly timeframe.
To identify the ETF likely to outperform, the script uses a custom relative strength indicator applied to both VTV and VUG in comparison with an index ( SPY ). To minimize risk and drawdowns during bear markets, when both value and growth experience downtrends, the script employs the author's custom volume flow indicator (VFI) and blocks trades when its reading indicates money outflow . Positions are closed if the relative strength of the current open trade ETF falls below that of the other ETF for two consecutive weeks and is also below its moving average. Additionally, the script implements a stop-loss when the ETF is trading below its 40-week moving average, but only during bear markets.
The script plots the relative strengths of the value and growth equities along with the signals triggered by the aforementioned rules. Information about the current readings of the relative strength and volume flow indicators, along with the current open position, is displayed in a table.
█ CALCULATIONS
The script uses the request.security() function to gather price data for both equities and the reference index. Custom relative strength and volume flow indicators are calculated based on the formulas presented in the original article. By default, the script employs the same parameters for these indicators as proposed in the original article for VTV and VUG on a weekly timeframe.
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Machine Learning Momentum Oscillator [ChartPrime]The Machine Learning Momentum Oscillator brings together the K-Nearest Neighbors (KNN) algorithm and the predictive strength of the Tactical Sector Indicator (TSI) Momentum. This unique oscillator not only uses the insights from TSI Momentum but also taps into the power of machine learning therefore being designed to give traders a more comprehensive view of market momentum.
At its core, the Machine Learning Momentum Oscillator blends TSI Momentum with the capabilities of the KNN algorithm. Introducing KNN logic allows for better handling of noise in the data set. The TSI Momentum is known for understanding how strong trends are and which direction they're headed, and now, with the added layer of machine learning, we're able to offer a deeper perspective on market trends. This is a fairly classical when it comes to visuals and trading.
Green bars show the trader when the asset is in an uptrend. On the flip side, red bars mean things are heading down, signaling a bearish movement driven by selling pressure. These color cues make it easier to catch the sentiment and direction of the market in a glance.
Yellow boxes are also displayed by the oscillator. These boxes highlight potential turning points or peaks. When the market comes close to these points, they can provide a heads-up about the possibility of changes in momentum or even a trend reversal, helping a trader make informed choices quickly. These can be looked at as possible reversal areas simply put.
Settings:
Users can adjust the number of neighbours in the KNN algorithm and choose the periods they prefer for analysis. This way, the tool becomes a part of a trader's strategy, adapting to different market conditions as they see fit. Users can also adjust the smoothing used by the oscillator via the smoothing input.
Support and Resistance Oscillator [CC]The Support and Resistance Oscillator is an experimental script I created to identify when the current price breaks a support or resistance line and reflect this value in an oscillator formula. This indicator uses a threshold to decide the dividing line between buying and selling points. Feel free to change the threshold or smoothing settings to see if you find anything better since this is so experimental. I'm double smoothing the difference between the indicator and its signal line to attempt to capture a combo of the price momentum combined with the general support and resistance levels. I have used dark colors for strong signals and lighter colors for normal signals and make sure to buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts or indicators you would like to see me publish!
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.
Adaptive Fisherized ROCIntroduction
Hello community, here I applied the Inverse Fisher Transform, Ehlers dominant cycle determination and smoothing methods on a simple Rate of Change (ROC) indicator
You have a lot of options to adjust the indicator.
Usage
The rate of change is most often used to measure the change in a security's price over time.
That's why it is a momentum indicator.
When it is positive, prices are accelerating upward; when negative, downward.
It is useable on every timeframe and could be a potential filter for you your trading system.
IMO it could help you to confirm entries or find exits (e.g. you have a long open, roc goes negative, you exit).
If you use a trend-following strategy, you could maybe look out for red zones in an in uptrend or green zones in a downtrend to confirm your entry on a pullback.
Signals
ROC above 0 => confirms bullish trend
ROC below 0 => confirms bearish trend
ROC hovers near 0 => price is consolidating
Enjoy! 🚀
+ BB %B: MA selection, bar coloring, multi-timeframe, and alerts+ %B is, at its simplest, the classic Bollinger Bands %B indicator with a few added bells and whistles.
However, the right combination of bells and whistles will often improve and make a more adaptable indicator.
Classically, Bollinger Bands %B is an indicator that measures volatility, and the momentum and strength of a trend, and/or price movements.
It shows "overbought" and "oversold" spots on a chart, and is also useful for identifying divergences between price and trend (similar to RSI).
With + %B I've added the options to select one or two moving averages, candle coloring, and a host of others.
Let's start with the moving averages:
There are options for two: one faster and one slower. Or combine them how you will, or omit one or both of them entirely.
Here you will find options for SMA, EMA (as well as double and triple), Hull MA, Jurik MA, Least Squares MA, Triangular MA, Volatility Adjusted MA, and Weighted MA.
A moving average essentially helps to define trend by smoothing the noise of movements of the underlying asset, or, in this case, the output of the indicator.
All of these MAs available track this in a different way, and it's up to the trader to figure out which makes most sense to him/her.
MA's, in my opinion, improve the basic %B by providing a clearer picture of what the indicator is actually "seeing", and may be useful for providing entries and exits.
Next up is candle coloring:
I've added the option for this indicator to color candles on the chart based on where the %B is in relation to its upper and lower bounds, and median line.
If the %B is above the median but below the upper bound, candles will be green (showing bullish market structure). If %B is below the median but above the lower bound, candles will be red (denoting bearish market structure).
Overbought and oversold candles will also be colored on the chart, so that a quick glance will tell you whether price action is bullish/bearish or "oversold"/"overbought".
I've also added functionality that enables candles to be colored based on if the %B has crossed up or crossed down the primary moving average.
One example as a way to potentially use these features is if the candles are showing oversold coloration followed by the %B crossing up your moving average coloration. You might consider a long there (or exit a short position if you are short).
And the last couple of tweaks:
You may set the timeframe to whatever you wish, so maybe you're trading on the hourly, but you want to know where the %B is on the 4h chart. You can do that.
The background fill for the indicator is split into bullish and bearish halves. Obviously you may turn the background off, or make it all one color as well.
I've also added alerts, so you may set alerts for "overbought" and "oversold" conditions.
You may also set alerts for %B crossing over or under the primary moving average, or for crossing the median line.
All of these things may be turned on and off. You can pretty much customize this to your heart's delight. I see no reason why anyone would use the standard %B after playing with this.
I am no coder. I had this idea in my head, though, and I made it happen through referencing another indicator I was familiar with, and watching tutorials on YouTube.
Credits:
Firstly, thanks to www.tradingview.com for his brilliant, free tutorials on YouTube.
Secondly, thanks to www.tradingview.com for his beautiful SSL Hybrid indicator (and his clean code) from which I obtained the MAs.
Please enjoy this indicator, and I hope that it serves you well. :)
Customizable Percentage Price Oscillator (PPO)The PPO is basically the MACD but in percentage terms. This is better for comparing momentum across different securities.
This script is a standard PPO but with many options for customization. You can set the moving average type of the signal and the oscillator lines separately. You can also weight any moving average of the PPO by volume.
Supported Types of MA:
SMA
EMA
ALMA
HMA
WMA
Personally, I believe weighting by volume is helpful across markets but especially helpful for equities. I like to use 3,10,16 settings similar to Linda Raschke but with EMA instead of SMA. This indicator is especially useful for signaling trend continuation and generating exit signals. For entries, I believe this indicator should not be blindly followed and works better when combined with a trend or price action signal.
If there are requests for more types of moving average to be used with the PPO, I would be down to implement them, but I believe most moving averages are pretty similar.
Smooth First Derivative IndicatorIntroducing the Smooth First Derivative indicator. For each time step, the script numerically differentiates the price data using prior datapoints from the look-back window. The resulting time derivative (the rate of price change over time) is presented as a centered oscillator.
A first derivative is a versatile tool used in functional data analysis. When applied to price data, it can be applied to analyze momentum, confirm trend direction, and identify pivot points.
Model Description:
The model assumes that, within the look-back window, price data can be well approximated by a smooth differentiable function. The first derivative can then be computed numerically using a noise-robust one-sided differentiator. The current version of the script employs smooth differentiators developed by P. Holoborodko (www.holoborodko.com). Note that the Indicator should not be confused with Constance Brown's Derivative Oscillator.
Input parameter:
The Bandwidth parameter sets the number of points in the moving look-back window and thus determines the smoothness of the first derivative curve. Note that a smoother Indicator shows a greater lag.
Interpretation:
When using this Indicator, one should recall that the first derivative can simply be interpreted as the slope of the curve:
- The maximum (minimum) in the Indicator corresponds to the point at which the market experiences the maximum upward (downward) slope, i.e., the inflection point. The steeper the slope, the greater the Indicator value.
- The positive-to-negative zero-crossing in the Indicator suggests that the market has formed a local maximum (potential start of a downtrend or a period of consolidation). Likewise, a zero-crossing from negative to positive is a potential bullish signal.
MA MTF Momentum HistogramMy own interpretation indicator which i call multi time frame moving averages momentum with NO LAG EMA support (Optional).
The indicator is calculated by subtracting the long-term EMA from the short-term EMA .
This pretty much resembles the MACD moving averages calculation but without the smoothing of the histogram.
Can also be used to find divergences.
The background shows the main trend with higher time frame which can be set in the settings.
Aimed to use with Higher time frame (Double or more) but can also work with lower time frame.
How to use the indicator?
==Histogram==
Green: Momentum of asset is positive and increasing.
Lighter Green: Momentum of asset is still positive but decreasing and can revert to negative momentum.
Red: Momentum of asset is negative and increasing.
Lighter Red: Momentum of asset is still negative but increasing and revert to positive momentum.
==Background Color - Main Trend==
Green: HTF (Higher time frame) momentum is positive.
RED: HTF momentum is negative.
Feel free to comment and Follow to stay updated with upcoming scripts: www.tradingview.com
NOTE: BARS ARE COLORED BY DEFAULT WITH HISTOGRAM COLORS! (Can be changed in settings)
Stochastic Heat MapA series of 28 stochastic oscillators plotted horizontally and stacked vertically from bottom to top as the oscillator background.
Each oscillator has been interpreted and the value has been used to colour the lines in.
Lower lines are shorter term stochastics and higher lines are longer term stochastics.
The average of the 28 stochastics has been taken and then used to plot the fast oscillator line, which also has a slow oscillator line to follow.
The oscillator line can be used to colour in the candles.
Inputs:
MA: multiple smoothing methods
Theme: multiple colours
Increment: stochastic length start and increments
Smooth Fast: smooth fast length
Smooth Slow: smooth slow length
Paint Bars: colour candles
Waves: toggle method to weight/increment stochastics
Heat map shows momentum extremes:
Trend Lines for RSI, CCI, Momentum, OBVHello Traders!
After publishing Trend Lines for RSI yesterday, I realized that Trend Lines for more indicators needed by the traders. so I decided to make it for four different indicators: RSI, CCI, OBV, Momentum
In the indicator options you can choose the indicator from pull-down menu.
How it works?
- On each bar it finds last 10 higher and lower Pivot Points (PP) for the indicator.
- from first bar to 10. Pivot Point it searchs if a trend line is possible
- for each PP it starts searching from the last PP .
- it checks if drawing a trend line possible or not and also it's broken or not
- if it's broken then optionally it shows broken trend lines as dotted (or you can option not to see broken lines)
- if it finds a continues trend line then it stops searhing more and draw trend line, this is done by checking angles (I did this to make the script faster, otherwise you may get error because of it needs time more than .2sec)
- the script makes this process for each PP
- then shows the trend lines
P.S. it may need 3-10 seconds when you added the script to the chart at first (because of calculations)
Trend lines for CCI:
Trend Lines for OBV
Trend Lines for Momentum:
You may want to watch how Trend Lines script works (that was made for RSI)
s3.tradingview.com
If you still didn't see Trend Lines v2 then visit:
All Comments are welcome..
Enjoy!
[BTX] TRIX + MA combined indicator (open version)This indicator combines TRIX and MA of TRIX in one. You can choose which type of moving average line to be used (EMA or SMA).
Default values are 12 periods for TRIX and 10 periods for MA/TRIX, which helps better response to price movement.
This indicator can use in all markets, all timeframes. This is an update to my indicator, which is a protected script. You can find it at the link: .
What is the TRIX (Triple Exponential Average) indicator?
TRIX is a momentum oscillator that displays the percent rate of change of a triple exponentially smoothed moving average. It was developed in the early 1980s by Jack Hutson, an editor for 'Technical Analysis of Stocks and Commodities' magazine. With its triple smoothing, TRIX is designed to filter out insignificant price movements. Chartists can use TRIX to generate signals similar to MACD. A signal line can be applied to look for signal line crossovers. A directional bias can be determined with the absolute level. Bullish and bearish divergences can be used to anticipate reversals.
McClellan Oscillator [LazyBear]Developed by Sherman and Marian McClellan, the McClellan Oscillator is a breadth indicator derived from Net Advances, the number of advancing issues less the number of declining issues. Subtracting the 39-day exponential moving average of Net Advances from the 19-day exponential moving average of Net Advances forms the oscillator.
As the formula reveals, the McClellan Oscillator is a momentum indicator that works similar to MACD.
McClellan Oscillator signals can be generated with breadth thrusts, centerline crossovers, overall levels and divergences.
I have added the following options:
- Can choose Advancing/Declining issues of any market. Default is NYSE.
- Can show the EMAs and/or oscillator.
- Ratio Adjusted Calculation mode (as explained in the stockcharts link below) or default mode.
- Can use custom timeframe. Default is chart timeframe.
More info:
stockcharts.com
Complete list of my indicators:
docs.google.com
Thanks @mpinky for pointing out the StockCharts version of this oscillator.
Matt's Multi-Timeframe MACD Direction AlertThe indicator monitors the direction of the Moving Average Convergence Divergence (MACD) lines on four specific timeframes: 1-hour, 15-minute, 5-minute, and 1-minute.
It only generates a signal when the MACD in all four timeframes is trending in the same direction (either all are bullish, or all are bearish). This alignment suggests a strong, synchronized market momentum from short-term scalping views up to immediate-term swing views.
Key Features:
Multi-Timeframe Confirmation: Uses TradingView's request.security() function to fetch data from different timeframes (1h, 15m, 5m, 1m), preventing the need to manually switch charts.
Visual Dashboard: A dashboard table is displayed on your chart, providing an immediate visual status (Bullish/Bearish/Neutral) for each of the four timeframes.
On-Chart Signals: The indicator plots visual shapes (green triangles for bullish alignment, red triangles for bearish alignment) directly on the sub-chart when the condition is met.
Custom Alert Integration: It includes a built-in alertcondition() function, allowing traders to set up real-time, hands-free notifications whenever a synchronized trading opportunity arises.
This tool helps filter out noise and potential false signals that might appear on a single timeframe, focusing instead on robust signals confirmed by a consensus of time perspectives.
Volume Pressure OscillatorThe Volume Pressure Oscillator (VPO) is a momentum-based indicator that measures the directional pressure of cumulative volume delta (CVD) combined with price efficiency. It oscillates between 0 and 100, with readings above 50 indicating net buying pressure and readings below 50 indicating net selling pressure.
The indicator is designed to identify the strength and sustainability of volume-driven trends while remaining responsive during consolidation periods.
How the Indicator Works
The VPO analyzes volume flow by examining price action at lower timeframes to build a Cumulative Volume Delta (CVD). For each chart bar, the indicator looks at intrabar price movements to classify volume as either buying volume or selling volume. These classifications are accumulated into a running total that tracks net directional volume.
The indicator then measures the momentum of this CVD over both short-term and longer-term periods, providing responsiveness to recent changes while maintaining awareness of the broader trend. These momentum readings are normalized using percentile ranking, which creates a stable 0-100 scale that works consistently across different instruments and market conditions.
A key feature is the extreme zone persistence mechanism. When the indicator enters extreme zones (above 80 or below 20), it maintains elevated readings as long as volume pressure continues in the same direction. This allows the VPO to stay in extreme zones during strong trends rather than quickly reverting to neutral, making it useful for identifying sustained volume pressure rather than just temporary spikes.
What Makes This Indicator Different
While many indicators measure volume or volume delta, the VPO specifically measures how aggressively CVD is currently changing and whether that pressure is being sustained. It's the difference between knowing "more volume has accumulated on the buy side" versus "buying pressure is intensifying right now and shows signs of continuation."
1. Focus on CVD Momentum, Not CVD Levels
Most CVD indicators display the cumulative volume delta as a line that trends up or down indefinitely. The VPO is fundamentally different - it measures the slope of CVD rather than the absolute level. This transforms CVD from an unbounded cumulative metric into a bounded 0-100 oscillator that shows the intensity and direction of current volume pressure, not just the historical accumulation.
2. Designed to Stay in Extremes During Trends
Unlike traditional oscillators that treat extreme readings (above 80 or below 20) as overbought/oversold reversal signals, the VPO is engineered to oscillate within extreme zones during strong trends. When sustained buying or selling pressure exists, the indicator remains elevated (e.g., 80-95 or 5-20) rather than quickly reverting to neutral. This makes it useful for trend continuation identification rather than exclusively for reversal trading.
3. Percentile-Based Normalization
The VPO uses percentile ranking over a lookback window, which provides consistent behavior across different instruments, timeframes, and volatility regimes without constant recalibration.
4. Dual-Timeframe Momentum Synthesis
The indicator simultaneously considers short-term CVD momentum (responsive to recent changes) and longer-term CVD momentum (tracking trend direction), weighted and combined with a slow-moving trend bias. This multi-timeframe approach helps it stay responsive in ranging markets while maintaining context during trends.
How to Use the Indicator
Understanding the Zones:
80-100 (Strong Buying Pressure): CVD momentum is strongly positive. In trending markets, the indicator oscillates within this zone rather than immediately reverting to neutral. This suggests sustained accumulation and trend continuation probability.
60-80 (Moderate Buying): Positive volume pressure but not extreme. Suitable for identifying pullback entry opportunities within uptrends.
40-60 (Neutral Zone): Volume pressure is balanced or unclear. No strong directional edge from volume. Often seen during consolidation or trend transitions.
20-40 (Moderate Selling): Negative volume pressure developing. May indicate distribution or downtrend continuation setups.
0-20 (Strong Selling Pressure): CVD momentum is strongly negative. During downtrends, sustained readings in this zone suggest continued distribution and downside follow-through probability.
Practical Applications:
Trend Confirmation: When price makes new highs/lows, check if VPO confirms with similarly elevated readings. Divergences (price making new highs while VPO fails to reach prior highs) may indicate weakening momentum.
Range Trading: During consolidation, the VPO typically oscillates between 30-70. Readings toward the low end of the range (30-40) may present accumulation opportunities, while readings at the high end (60-70) may indicate distribution zones.
Extreme Persistence: If VPO reaches 90+ or drops below 10, this indicates exceptional volume pressure. Rather than fading these extremes immediately, monitor whether the indicator stays elevated. Sustained extreme readings suggest strong trend continuation potential.
Context with Price Action: The VPO is most effective when combined with price action or other orderflow indicators. Use the indicator to gauge whether volume is confirming or contradicting.
What the Indicator Does NOT Do:
It does not provide specific entry or exit signals
It does not predict future price direction
It does not guarantee profitable trades
It should not be used as a standalone trading system
Settings Explanation
Momentum Period (Default: 14)
This parameter controls the lookback period for CVD rate-of-change calculations.
Lower values (5-10): Make the indicator more responsive to recent volume changes. Useful for shorter-term trading and more active oscillation. May produce more whipsaws in choppy markets.
Default value (14): Provides balanced responsiveness while filtering out most noise. Suitable for swing trading and daily timeframe analysis.
Higher values (20-50): Create smoother readings and focus on longer-term volume trends. Better for position trading and reducing false signals, but with slower reaction to genuine changes in volume pressure.
Important Notes:
This indicator requires intrabar data to function properly. On some instruments or timeframes where lower timeframe data is not available, the indicator may not display.
The indicator uses request.security_lower_tf() which has a limit of intrabars. On higher timeframes, this provides extensive history, but on very low timeframes (<1-minute charts), the indicator may only cover limited historical bars.
Volume data quality varies by exchange and instrument. The indicator's effectiveness depends on accurate volume reporting from the data feed.
DarkPool's Squeeze Momentum @author LazyBearDarkPool's Squeeze Momentum Pro is a comprehensive overhaul of the classic volatility indicator, designed for the modern trader who requires deeper market insight. While staying true to the core logic of the original TTM Squeeze, this version introduces advanced features like automatic divergence detection, dynamic moving average selection, and main-chart integration to help you time entries and exits with precision.
Credit: This script is built upon the foundational "Squeeze Momentum Indicator" originally developed by LazyBear. This version expands on that legacy with enhanced visualization, alert systems, and divergence logic.
Key Features
1. Advanced Divergence Detection
The indicator automatically scans for Regular Bullish and Regular Bearish divergences between price action and momentum.
Bullish Divergence (Green "BULL" Label): Occurs when Price makes a Lower Low, but Momentum makes a Higher Low. This often precedes a bullish reversal.
Bearish Divergence (Red "BEAR" Label): Occurs when Price makes a Higher High, but Momentum makes a Lower High. This often precedes a bearish reversal.
2. Multi-Mode Squeeze Detection
The central dots on the zero line tell you the state of market volatility:
Red Dot (Squeeze ON): Volatility is compressed. The Bollinger Bands are inside the Keltner Channels. The market is "coiling" and preparing for an explosive move. Do not trade yet—wait for the fire.
Grey Dot (Squeeze OFF): The squeeze has "fired." Volatility is expanding, and price is moving.
Blue Dot (Wide Bands): Volatility is extremely high. The bands are exceptionally wide, often indicating the end of a trend or a period of high risk.
3. "Ghost" Histogram & Visual Depth
The momentum histogram features a "Ghost" fill (transparent background) to help visualize the volume of momentum without cluttering the screen.
Bright Green: Strong Bullish Momentum (Rising).
Dark Green: Weakening Bullish Momentum (Fading).
Bright Red: Strong Bearish Momentum (Falling).
Dark Red: Weakening Bearish Momentum (Recovering).
4. Dynamic Candle Coloring
Enabled by default, this feature colors the candles on your main chart to match the momentum histogram. This allows you to instantly gauge the trend strength without looking down at the oscillator pane.
5. Adaptive Calculation Engines
Unlike standard versions fixed to SMA, you can now select the moving average algorithm that drives the Bollinger Bands and Keltner Channels:
SMA: Standard, stable signals.
EMA: More reactive to recent price action.
WMA/RMA: Weighted options for specific strategies.
🛠 How to Operate
The "Squeeze & Fire" Strategy
Identify the Squeeze: Look for a series of Red Dots on the zero line. This indicates the market is resting and building energy.
The Trigger: Wait for the dot to turn Gray AND for the histogram to expand clearly in one direction.
Long Signal: Squeeze fires (Red -> Gray) + Histogram turns Green.
Short Signal: Squeeze fires (Red -> Gray) + Histogram turns Red.
The "Divergence Reversal" Strategy
Watch for "BULL" or "BEAR" labels appearing near the peaks or valleys of the histogram.
Confirmation: A divergence is a warning. Wait for the histogram color to change (e.g., from Bright Red to Dark Red) before entering a reversal trade.
⚙️ Settings Guide
Basis MA Type: Choose between SMA, EMA, WMA, or RMA to tune the sensitivity of the squeeze.
BB/KC Settings: Fully customizable Length and Multipliers to adapt to different assets (Crypto, Forex, or Stocks).
Pivot Lookback: Controls how strict the divergence detection is. Higher numbers = fewer, more significant signals.
Colour Main Chart Candles: Toggle this OFF if you prefer your standard candle colours.
Disclaimer
Trading involves a high level of risk and is not suitable for all investors. This indicator is a tool for technical analysis and does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and do not trade based solely on a single indicator.
LiquidityPulse RSI Candle Strength MomentumLiquidity-Pulse RSI Candle Strength Momentum is a multifunctional and original candle-analysis tool designed to highlight the potential internal strength of each candle using a combination of body size and volume.
To view the candle-strength scores clearly: right-click on the chart, go to Settings, and in the Symbol tab untick Body, Borders and Wicks.
Candle Strength Scores
The indicator calculates the average body size and average volume over a user-defined lookback period. Each candle is then compared to these averages, and the indicator combines relative body expansion and relative volume expansion with a square-root calculation to create a (normalised) candle-strength score from 1 to 10.
10 – exceptionally strong compared to the lookback average (large body size and volume)
1 – very weak compared to the lookback average (small body size and volume)
Bullish and bearish candles are evaluated independently, producing separate bull-strength and bear-strength scores.
Optional ATR and volume floors can be enabled to restrict strength scoring to candles that exceed a minimum volatility or participation threshold. This helps users who prefer to filter out low-impact candles during quiet market periods. This option can be enabled or adjusted in the settings but is turned off by default.
Candle Colours
This tool also shows candles coloured based on the candle-strength scores (10 colours in each theme), which makes it easier to visualise the scores and see whether the candle score was high or not. There are several options in the 'colour theme' dropdown menu in the settings. Users can also customise all colours manually.
RSI Candle Strength Arrows
The Relative Strength Index is a long-established momentum tool that calculates the ratio of average upward moves to average downward moves over a defined period, allowing traders to identify potential overbought and oversold market conditions where momentum may be stretched. As well as this, strong early momentum and participation are often associated with more sustained moves.
This indicator combines this methodology and provides optional arrows that appear only when candle strength and RSI conditions align:
– A candle meets or exceeds a chosen strength threshold
– RSI has recently reached an overbought or oversold level
– The candle direction matches the expected momentum shift
For example, if price has reached an oversold RSI level and a strong bullish candle forms (high candle-strength number), an upside arrow may plot.
Users can customise the RSI oversold and overbought thresholds, the minimum candle-strength threshold, and how many bars back the RSI condition must have occurred in the settings.
These arrows are not buy or sell signals but instead highlight rare moments where strong candle behaviour aligns with meaningful RSI extremes. This is useful to users because it allows the candle-strength logic to be applied only when momentum is genuinely stretched, filtering out noise and focusing attention on the most statistically significant market moves.
This indicator brings together a quantitative candle-strength model and a momentum-based RSI filter to give users a clearer view of how individual candles behave relative to their recent environment, while also highlighting when those movements occur during meaningful shifts in market momentum. By combining both forms of analysis, the tool helps traders distinguish ordinary price changes from potentially significant structural behaviour.
How traders can use this indicator
– Stronger candle scores in the trend direction can confirm continuation pressure.
– Powerful opposing candles appearing at RSI extremes may signal potential reversals or exhaustion points.
– If breakouts occur with high candle scores, price may be more likely to follow through.
– Weak candles with low scores help traders avoid false signals or low-quality setups.
– Candle-strength scoring helps users quickly interpret both volume and candle-body behaviour without manual analysis.
Open source, if anyone has any ideas on how to make the script better or have any questions please let me know :)
Disclaimer
This indicator is provided for educational and analytical purposes only and should not be interpreted as financial advice or a recommendation to buy or sell any asset. The candle-strength values displayed by this tool are not literal or definitive measures of market strength; they are derived from a custom mathematical model designed to highlight relative differences in candle behaviour. These values should be viewed as a simplified representation of candle dynamics, not as an objective or universal measure of strength.
Users should be aware that this calculation does not replace the importance of analysing real traded volume, order flow, liquidity conditions, or broader market context. As with any technical tool, results should be considered alongside other forms of analysis, and past performance does not guarantee future outcomes. Use at your own discretion and risk.
Asymmetric Market Momentum Channel█ OVERVIEW
"Asymmetric Market Momentum Channel" is a dynamic channel indicator that adjusts its width based on the actual strength and asymmetry of market momentum. Thanks to the asymmetric band expansion triggered by strong candles, it significantly reduces false breakouts while remaining highly sensitive to genuine moves.
█ CONCEPTS
Traditional volatility channels react too slowly or too uniformly. This indicator introduces asymmetry:
- After a strong bullish candle with a large body and long upper wick, the upper band is pushed much farther than the lower one.
- After a strong bearish candle, the lower band expands more.
As a result, the channel "remembers" the direction of the last real momentum.
- With wide bands (default base_scale 200+), it excels in contrarian (reversal) strategies – price tends to return to the midline, producing clean reversal signals.
- With narrow bands (base_scale set to 100–150), it behaves like a sensitive breakout channel – breakouts from a tight channel deliver very high-quality trend-continuation signals.
█ FEATURES
Fully adjustable asymmetric momentum channel:
- length – SMA period for midline and average range (default 30)
- base_scale – base channel width in % of average candle range (default 200%)
- strength – asymmetry intensity (higher = stronger expansion after powerful candles)
- smooth_len – EMA smoothing of the expansion (default 10)
Visualization:
- Upper band – red, lower band – green
- Midline SMA – gray
- Gradient background fill (enabled by default) – red above midline, green below; intensity controlled by Background Intensity (85 = strong, 95 = very subtle)
Signal modes:
- Contrarian (Reversal) – reversal signals on price returning inside the channel after exceeding it + confirming candle color
- Trend Continuation (Breakout) – classic breakout signals (recommended to lower base_scale to 100–150 for faster triggers)
- Both – displays both types simultaneously
Visual signals:
- Small green triangles below the bar → bullish signal
- Small red triangles above the bar → bearish signal
Alerts: Bullish Signal, Bearish Signal, Any Signal, Breakout Up, Breakout Down
█ HOW TO USE
Add the indicator to your TradingView chart and adjust the settings:
Key parameter:
- base_scale – defines the indicator’s character:
→ 200–300% → wide channel → Contrarian (reversal) mode
→ 100–150% → narrow channel → Trend Continuation (breakout) mode
- strength (default 1.0)
- length (30) – higher values = smoother, more trend-following behavior
smooth_len (10) – lower values = faster reaction to new momentum
Interpretation:
- Wide channel (base_scale ≥ 200) + Contrarian mode → mean-reversion trading
- Narrow channel (base_scale 100–150) + Breakout mode → aggressive trend-following on breakouts
- Both mode works universally – simply change base_scale to completely switch the indicator’s behavior
█ APPLICATIONS
- Scalping & daytrading – narrow channel + Breakout mode on 5–15 min
- Swing trading – narrow or wide channel + Both mode on H1–D1
- Mean-reversion – wide channel + Contrarian mode
- Trend filter – longs only above midline, shorts only below
█ NOTES
- In very strong one-sided trends, contrarian signals generate many false entries – switch exclusively to Trend Continuation (Breakout) mode with a narrow channel.
- Best performance on instruments with clear volatility and volume.
- Always match base_scale to your strategy (wide = reversal, narrow = breakout).
- Combining with volume, support/resistance levels, or indicators like MACD/RSI dramatically improves signal quality.
MCL RSI Conflux v2.5 — Multi-Timeframe Momentum & Z-Score Full Description
Overview
The MCL RSI Conflux v2.5 is a multi-timeframe momentum model that integrates daily, weekly, and monthly RSI values into a unified composite. It extends the classical RSI framework with adaptive overbought/oversold thresholds and statistical normalization (Z-score confluence).
This combination allows traders to visualize cross-timeframe alignment, identify synchronized momentum shifts, and detect exhaustion zones with higher statistical confidence.
Methodology
The script extracts RSI data from three major time horizons:
Daily RSI (short-term momentum)
Weekly RSI (intermediate trend)
Monthly RSI (macro bias)
Each RSI is optionally smoothed, weighted, and aggregated into a Composite RSI.
A Z-score transformation then measures how far each RSI deviates from its historical mean, revealing when momentum strength is statistically extreme or aligned across timeframes.
Key Features
Multi-Timeframe RSI Engine – Computes RSI across D/W/M intervals with individual weighting controls.
Adaptive Overbought/Oversold Bands – Automatically adjusts OB/OS thresholds based on rolling volatility (standard deviation of daily RSI).
Composite RSI Score – Weighted consensus RSI that represents total market momentum.
Z-Score Confluence Analysis – Identifies when all three timeframes are statistically synchronized.
Z-Composite Histogram – Displays aggregated Z-score strength around the midline (50).
Divergence Detection – Flags confirmed pivot-based bull and bear divergences on the daily RSI.
Dynamic Gradient Background – Shifts from red to green based on composite momentum regime.
Customizable Control Panel – Displays RSI values, Z-scores, state, and adaptive bands for each timeframe.
Integrated Alerts – For crossovers, risk-on/off thresholds, alignment, and Z-confluence events.
Interpretation
All RSI values above 50: multi-timeframe bullish alignment.
All RSI values below 50: multi-timeframe bearish alignment.
Composite RSI > 60: risk-on environment; momentum expansion.
Composite RSI < 45: risk-off environment; momentum contraction.
Adaptive OB/OS hits: potential exhaustion or mean reversion setup.
Green Z-ribbon: all Z-scores positive and aligned (statistical confirmation).
Red Z-ribbon: all Z-scores negative and aligned (broad market weakness).
Divergences: short-term warning signals against the prevailing momentum bias.
Practical Application
Use the Composite RSI as a global momentum gauge for position bias.
Trade only in the direction of higher-timeframe alignment (avoid countertrend RSI).
Combine Z-ribbon confirmation with Composite RSI crosses to filter noise.
Use divergence labels and adaptive thresholds for risk reduction or exit timing.
Ideal for swing traders and macro momentum models seeking trend synchronization filters.
Recommended Settings
Market Mode k-Band Lookback Use Case
Stocks / ETFs Adaptive 0.85 200 Medium-term rotation filter
Crypto Adaptive 1.00 150 Volatility-responsive swing filter
Commodities Fixed 70/30 100 Mean reversion model
Alerts Included
Daily RSI crossed above/below Weekly RSI
Composite RSI > Risk-On threshold
Composite RSI < Risk-Off threshold
All RSI aligned above/below 50
Z-Score Conformity (All positive or all negative)
Overbought/Oversold triggers
Author’s Note
This indicator was designed for research and systematic confluence analysis within Mongoose Capital Labs.
It is not financial advice and should be used in combination with independent risk assessment, volume confirmation, and higher-timeframe context.
Squeeze Pro Momentum BAR color - KLTDescription:
The Squeeze Pro Momentum indicator is a powerful tool designed to detect volatility compression ("squeeze" zones) and visualize momentum shifts using a refined color-based system. This script blends the well-known concepts of Bollinger Bands and Keltner Channels with an optimized momentum engine that uses dynamic color gradients to reflect trend strength, direction, and volatility.
It’s built for traders who want early warning of potential breakouts and clearer insight into underlying market momentum.
🔍 How It Works:
📉 Squeeze Detection:
This indicator identifies "squeeze" conditions by comparing Bollinger Bands and Keltner Channels:
When Bollinger Bands are inside Keltner Channels → Squeeze is ON
When Bollinger Bands expand outside Keltner Channels → Squeeze is OFF
You’ll see squeeze zones classified as:
Wide
Normal
Narrow
Each represents varying levels of compression and breakout potential.
⚡ Momentum Engine:
Momentum is calculated using linear regression of the price's deviation from a dynamic average of highs, lows, and closes. This gives a more accurate representation of directional pressure in the market.
🧠 Smart Candle Coloring (Optimized):
The momentum color logic is inspired by machine learning principles (no hardcoded thresholds):
EMA smoothing and rate of change (ROC) are used to detect momentum acceleration.
ATR-based filters help remove noise and false signals.
Colors are dynamically assigned based on both direction and trend strength.
🧪 How to Use It:
Look for Squeeze Conditions — especially narrow squeezes, which tend to precede high-momentum breakouts.
Confirm with Momentum Color — strong colors often indicate trend continuation; fading colors may signal exhaustion.
Combine with Price Action — use this tool with support/resistance or patterns for higher probability setups.
Recommended For:
Trend Traders
Breakout Traders
Volatility Strategy Users
Anyone who wants visual clarity on trend strength
📌 Tip: This indicator works great when layered with volume and price action patterns. It is fully non-repainting and supports overlay on price charts.
Magnificent 7 OscillatorThe Magnificent 7 Oscillator is a sophisticated momentum-based technical indicator designed to analyze the collective performance of the seven largest technology companies in the U.S. stock market (Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta). This indicator incorporates established momentum factor research and provides three distinct analytical modes: absolute momentum tracking, equal-weighted market comparison, and relative performance analysis. The tool integrates five different oscillator methodologies and includes advanced breadth analysis capabilities.
Theoretical Foundation
Momentum Factor Research
The indicator's foundation rests on seminal momentum research in financial markets. Jegadeesh and Titman (1993) demonstrated that stocks with strong price performance over 3-12 month periods tend to continue outperforming in subsequent periods¹. This momentum effect was later incorporated into formal factor models by Carhart (1997), who extended the Fama-French three-factor model to include a momentum factor (UMD - Up Minus Down)².
The momentum calculation methodology follows the academic standard:
Momentum(t) = / P(t-n) × 100
Where P(t) is the current price and n is the lookback period.
The focus on the "Magnificent 7" stocks reflects the increasing market concentration observed in recent years. Fama and French (2015) noted that a small number of large-cap stocks can drive significant market movements due to their substantial index weights³. The combined market capitalization of these seven companies often exceeds 25% of the total S&P 500, making their collective momentum a critical market indicator.
Indicator Architecture
Core Components
1. Data Collection and Processing
The indicator employs robust data collection with error handling for missing or invalid security data. Each stock's momentum is calculated independently using the specified lookback period (default: 14 periods).
2. Composite Oscillator Calculation
Following Fama-French factor construction methodology, the indicator offers two weighting schemes:
- Equal Weight: Each active stock receives identical weighting (1/n)
- Market Cap Weight: Reserved for future enhancement
3. Oscillator Transformation Functions
The indicator provides five distinct oscillator types, each with established technical analysis foundations:
a) Momentum Oscillator (Default)
- Pure rate-of-change calculation
- Centered around zero
- Direct implementation of Jegadeesh & Titman methodology
b) RSI (Relative Strength Index)
- Wilder's (1978) relative strength methodology
- Transformed to center around zero for consistency
- Scale: -50 to +50
c) Stochastic Oscillator
- George Lane's %K methodology
- Measures current position within recent range
- Transformed to center around zero
d) Williams %R
- Larry Williams' range-based oscillator
- Inverse stochastic calculation
- Adjusted for zero-centered display
e) CCI (Commodity Channel Index)
- Donald Lambert's mean reversion indicator
- Measures deviation from moving average
- Scaled for optimal visualization
Operational Modes
Mode 1: Magnificent 7 Analysis
Tracks the collective momentum of the seven constituent stocks. This mode is optimal for:
- Technology sector analysis
- Growth stock momentum assessment
- Large-cap performance tracking
Mode 2: S&P 500 Equal Weight Comparison
Analyzes momentum using an equal-weighted S&P 500 reference (typically RSP ETF). This mode provides:
- Broader market momentum context
- Size-neutral market analysis
- Comparison baseline for relative performance
Mode 3: Relative Performance Analysis
Calculates the momentum differential between Magnificent 7 and S&P 500 Equal Weight. This mode enables:
- Sector rotation analysis
- Style factor assessment (Growth vs. Value)
- Relative strength identification
Formula: Relative Performance = MAG7_Momentum - SP500EW_Momentum
Signal Generation and Thresholds
Signal Classification
The indicator generates three signal states:
- Bullish: Oscillator > Upper Threshold (default: +2.0%)
- Bearish: Oscillator < Lower Threshold (default: -2.0%)
- Neutral: Oscillator between thresholds
Relative Performance Signals
In relative performance mode, specialized thresholds apply:
- Outperformance: Relative momentum > +1.0%
- Underperformance: Relative momentum < -1.0%
Alert System
Comprehensive alert conditions include:
- Threshold crossovers (bullish/bearish signals)
- Zero-line crosses (momentum direction changes)
- Relative performance shifts
- Breadth Analysis Component
The indicator incorporates market breadth analysis, calculating the percentage of constituent stocks with positive momentum. This feature provides insights into:
- Strong Breadth (>60%): Broad-based momentum
- Weak Breadth (<40%): Narrow momentum leadership
- Mixed Breadth (40-60%): Neutral momentum distribution
Visual Design and User Interface
Theme-Adaptive Display
The indicator automatically adjusts color schemes for dark and light chart themes, ensuring optimal visibility across different user preferences.
Professional Data Table
A comprehensive data table displays:
- Current oscillator value and percentage
- Active mode and oscillator type
- Signal status and strength
- Component breakdowns (in relative performance mode)
- Breadth percentage
- Active threshold levels
Custom Color Options
Users can override default colors with custom selections for:
- Neutral conditions (default: Material Blue)
- Bullish signals (default: Material Green)
- Bearish signals (default: Material Red)
Practical Applications
Portfolio Management
- Sector Allocation: Use relative performance mode to time technology sector exposure
- Risk Management: Monitor breadth deterioration as early warning signal
- Entry/Exit Timing: Utilize threshold crossovers for position sizing decisions
Market Analysis
- Trend Identification: Zero-line crosses indicate momentum regime changes
- Divergence Analysis: Compare MAG7 performance against broader market
- Volatility Assessment: Oscillator range and frequency provide volatility insights
Strategy Development
- Factor Timing: Implement growth factor timing strategies
- Momentum Strategies: Develop systematic momentum-based approaches
- Risk Parity: Use breadth metrics for risk-adjusted portfolio construction
Configuration Guidelines
Parameter Selection
- Momentum Period (5-100): Shorter periods (5-20) for tactical analysis, longer periods (50-100) for strategic assessment
- Smoothing Period (1-50): Higher values reduce noise but increase lag
- Thresholds: Adjust based on historical volatility and strategy requirements
Timeframe Considerations
- Daily Charts: Optimal for swing trading and medium-term analysis
- Weekly Charts: Suitable for long-term trend analysis
- Intraday Charts: Useful for short-term tactical decisions
Limitations and Considerations
Market Concentration Risk
The indicator's focus on seven stocks creates concentration risk. During periods of significant rotation away from large-cap technology stocks, the indicator may not represent broader market conditions.
Momentum Persistence
While momentum effects are well-documented, they are not permanent. Jegadeesh and Titman (1993) noted momentum reversal effects over longer time horizons (2-5 years).
Correlation Dynamics
During market stress, correlations among the constituent stocks may increase, reducing the diversification benefits and potentially amplifying signal intensity.
Performance Metrics and Backtesting
The indicator includes hidden plots for comprehensive backtesting:
- Individual stock momentum values
- Composite breadth percentage
- S&P 500 Equal Weight momentum
- Relative performance calculations
These metrics enable quantitative strategy development and historical performance analysis.
References
¹Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91.
Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82.
Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22.
Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
Session-Based Sentiment Oscillator [TradeDots]Track, analyze, and monitor market sentiment across global trading sessions with this advanced multi-session sentiment analysis tool. This script provides session-specific sentiment readings for Asian (Tokyo), European (London), and US (New York) markets, combining price action, volume analysis, and volatility factors into a comprehensive sentiment oscillator. It is an original indicator designed to help traders understand regional market psychology and capitalize on cross-session sentiment shifts directly on TradingView.
📝 HOW IT WORKS
1. Multi-Component Sentiment Engine
Price Action Momentum : Calculates normalized price movement relative to recent trading ranges, providing directional sentiment readings.
Volume-Weighted Analysis : When volume data is available, incorporates volume flow direction to validate price-based sentiment signals.
Volatility-Adjusted Factors : Accounts for changing market volatility conditions by comparing current ATR against historical averages.
Weighted Combination : Merges all components using optimized weightings (Price: 1.0, Volume: 0.3, Volatility: 0.2) for balanced sentiment readings.
2. Session-Segregated Tracking
Automatic Session Detection : Precisely identifies active trading sessions based on user-configured time parameters.
Independent Calculations : Maintains separate sentiment accumulation for each major session, updated only during respective active hours.
Historical Preservation : Stores session-specific sentiment values even when sessions are closed, enabling cross-session comparison.
Real-Time Updates : Continuously processes sentiment during active sessions while preserving inactive session data.
3. Cross-Session Transition Analysis
Sentiment Differential Detection : Monitors sentiment changes when transitioning between trading sessions.
Configurable Thresholds : Generates signals only when sentiment shifts exceed user-defined minimum thresholds.
Directional Signals : Provides distinct bullish and bearish transition alerts with visual markers.
Smart Filtering : Applies smoothing algorithms to reduce false signals from minor sentiment variations.
⚙️ KEY FEATURES
1. Session-Specific Dashboard
Real-Time Status Display : Shows current session activity (ACTIVE/CLOSED) for all three major sessions.
Sentiment Percentages : Displays precise sentiment readings as percentages for easy interpretation.
Strength Classification : Automatically categorizes sentiment as HIGH (>50%), MEDIUM (20-50%), or LOW (<20%).
Customizable Positioning : Place dashboard in any corner with adjustable size options.
2. Advanced Signal Generation
Transition Alerts : Triangle markers indicate significant sentiment shifts between sessions.
Extreme Conditions : Diamond markers highlight overbought/oversold threshold breaches.
Configurable Sensitivity : Adjust signal thresholds from 0.05 to 0.50 based on trading style.
Alert Integration : Built-in TradingView alert conditions for automated notifications.
3. Forex Currency Strength Analysis
Base/Quote Decomposition : For forex pairs, separates sentiment into individual currency strength components.
Major Currency Support : Analyzes USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD strength relationships.
Relative Strength Display : Shows which currency is driving pair movement during active sessions.
4. Visual Enhancement System
Session Background Colors : Distinct background shading for each active trading session.
Overbought/Oversold Zones : Configurable extreme sentiment level visualization with colored zones.
Multi-Timeframe Compatibility : Works across all timeframes while maintaining session accuracy.
Customizable Color Schemes : Full color customization for dashboard, signals, and plot elements.
🚀 HOW TO USE IT
1. Add the Script
Search for "Session-Based Sentiment Oscillator " in the Indicators tab or manually add it to your chart. The indicator will appear in a separate pane below your main chart.
2. Configure Session Times
Asian Session : Set Tokyo market hours (default: 00:00-09:00) based on your chart timezone.
European Session : Configure London market hours (default: 07:00-16:00) for European analysis.
US Session : Define New York market hours (default: 13:00-22:00) for American markets.
Timezone Adjustment : Ensure session times match your broker's specifications and account for daylight saving changes.
3. Optimize Analysis Parameters
Sentiment Period : Choose 5-50 bars (default: 14) for sentiment calculation lookback period.
Smoothing Settings : Select 1-10 bars smoothing (default: 3) with SMA, EMA, or RMA options.
Component Selection : Enable/disable volume analysis, price action, and volatility factors based on available data.
Signal Sensitivity : Adjust threshold from 0.05-0.50 (default: 0.15) for transition signal generation.
4. Interpret Readings and Signals
Positive Values : Indicate bullish sentiment for the active session.
Negative Values : Suggest bearish sentiment conditions.
Dashboard Status : Monitor which session is currently active and their respective sentiment strengths.
Transition Signals : Watch for triangle markers indicating significant cross-session sentiment changes.
Extreme Alerts : Note diamond markers when sentiment reaches overbought (>70%) or oversold (<-70%) levels.
5. Set Up Alerts
Configure TradingView alerts for:
- Bullish session transitions
- Bearish session transitions
- Overbought condition alerts
- Oversold condition alerts
❗️LIMITATIONS
1. Data Dependency
Volume Requirements : Volume-based analysis only functions when volume data is provided by your broker. Many forex brokers do not supply reliable volume data.
Price Action Focus : In absence of volume data, sentiment calculations rely primarily on price movement and volatility factors.
2. Session Time Sensitivity
Manual Adjustment Required : Session times must be manually updated for daylight saving time changes.
Broker Variations : Different brokers may have slightly different session definitions requiring time parameter adjustments.
3. Ranging Market Limitations
Trend Bias : Sentiment calculations may be less reliable during extended sideways or low-volatility market conditions.
Lag Consideration : As with all sentiment indicators, readings may lag during rapid market transitions.
4. Regional Market Focus
Major Session Coverage : Designed primarily for major global sessions; may not capture sentiment from smaller regional markets.
Weekend Gaps : Does not account for weekend gap effects on sentiment calculations.
⚠️ RISK DISCLAIMER
Trading and investing carry significant risk and can result in financial loss. The "Session-Based Sentiment Oscillator " is provided for informational and educational purposes only. It does not constitute financial advice.
- Always conduct your own research and analysis
- Use proper risk management and position sizing in all trades
- Past sentiment patterns do not guarantee future market behavior
- Combine this indicator with other technical and fundamental analysis tools
- Consider overall market context and your personal risk tolerance
This script is an original creation by TradeDots, published under the Mozilla Public License 2.0.
Session-based sentiment analysis should be used as part of a comprehensive trading strategy. No single indicator can predict market movements with certainty. Exercise proper risk management and maintain realistic expectations about indicator performance across varying market conditions.
US Growth Momentum Index (UGMI)US Growth Momentum Index (UGMI) is a macroeconomic indicator designed to reflect the current economic health of the United States. The index combines four key economic factors—Industrial Production (INDPRO), Retail Sales (RSAFS), Unemployment Rate (UNRATE), and the 10Y-2Y Yield Curve Spread—and aggregates them into a single line representing overall growth momentum.
The UGMI is based on Z-Score calculations for each of these components, helping to identify whether the U.S. economy is in an expansionary growth phase or a contractionary recession phase.
How to Read the UGMI:
Core Growth Line (Blue): This is the main line representing the aggregated growth momentum. It is calculated using the Z-scores of the key economic indicators.
0 Line: The 0 line represents the neutral zone. If the UGMI is above the 0 line, it suggests that the economy is expanding. Below the 0 line indicates contraction or a potential recession.
Zones Above 1: When the UGMI is above 1, it represents a strong expansionary phase or boom, possibly signaling the top of a bull market or local peak.
Zones Below -1: When the UGMI falls below -1, it indicates a severe recession or significant contraction in the economy.
Color Coding:
Green: When the UGMI is above the 1 line, the background turns green, indicating a strong growth phase.
Red: When the UGMI is below -1, the background turns red, representing a recession or significant economic downturn.
This indicator helps traders and investors to understand whether the economy is growing or contracting, and is especially useful for identifying potential market tops or turning points.
