Vix_Fix Enhanced MTF [Cometreon]The VIX Fix Enhanced is designed to detect market bottoms and spikes in volatility, helping traders anticipate major reversals with precision. Unlike standard VIX Fix tools, this version allows you to control the standard deviation logic, switch between chart styles, customize visual outputs, and set up advanced alerts — all with no repainting.
🧠 Logic and Calculation
This indicator is based on Larry Williams' VIX Fix and integrates features derived from community requests/advice, such as inverse VIX logic.
It calculates volatility spikes using a customizable standard deviation of the lows and compares it to a moving high to identify potential reversal points.
All moving average logic is based on Cometreon's proprietary library, ensuring accurate and optimized calculations on all 15 moving average types.
🔷 New Features and Improvements
🟩 Custom Visual Styles
Choose how you want your VIX data displayed:
Line
Step Line
Histogram
Area
Column
You can also flip the orientation (bottom-up or top-down), change the source ticker, and tailor the display to match your charting preferences.
🟩 Multi-MA Standard Deviation Calculation
Customize the standard deviation formula by selecting from 15 different moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
This gives you fine control over how volatility is measured and allows tuning the sensitivity for different market conditions.
🟩 Full Control Over Percentile and Deviation Conditions
You can enable or disable lines for standard deviation and percentile conditions, and define whether you want to trigger on over or under levels — adapting the indicator to your exact logic and style.
🟩 Chart Type Selection
You're no longer limited to candlestick charts! Now you can use Vix_Fix with different chart formats, including:
Candlestick
Heikin Ashi
Renko
Kagi
Line Break
Point & Figure
🟩 Multi-Timeframe Compatibility Without Repainting
Use a different timeframe from your chart with confidence. Signals remain stable and do not repaint. Perfect for spotting long-term reversal setups on lower timeframes.
🟩 Alert System Ready
Configure alerts directly from the indicator’s panel when conditions for over/under signals are met. Stay informed without needing to monitor the chart constantly.
🔷 Technical Details and Customizable Inputs
This indicator includes full control over the logic and appearance:
1️⃣ Length Deviation High - Adjusts the lookback period used to calculate the high deviation level of the VIX logic. Shorter values make it more reactive; longer values smooth out the signal.
2️⃣ Ticker - Choose a different chart type for the calculation, including Heikin Ashi, Renko, Kagi, Line Break, and Point & Figure.
3️⃣ Style VIX - Change the visual style (Line, Histogram, Column, etc.), adjust line width, and optionally invert the display (bottom-to-top).
📌 Fill zones for deviation and percentile are active only in Line and Step Line modes
4️⃣ Use Standard Deviation Up / Down - Enable the overbought and oversold zone logic based on upper and lower standard deviation bands.
5️⃣ Different Type MA (for StdDev) - Choose from 15 different moving averages to define the calculation method for standard deviation (SMA, EMA, HMA, JMA, etc.), with dedicated parameters like Phase, Sigma, and Offset for optimized responsiveness.
6️⃣ BB Length & Multiplier - Adjust the period and multiplier for the standard deviation bands, similar to how Bollinger Bands work.
7️⃣ Show StdDev Up / Down Line - Enable or disable the visibility of upper and lower standard deviation boundaries.
8️⃣ Use Percentile & Length High - Activate the percentile-based logic to detect extreme values in historical volatility using a customizable lookback length.
9️⃣ Highest % / Lowest % - Set the high and low percentile thresholds (e.g., 85 for high, 99 for low) that will be used to trigger over/under signals.
🔟 Show High / Low Percentile Line - Toggle the visual display of the percentile boundaries directly on the chart for clearer signal reference.
1️⃣1️⃣ Ticker Settings – Customize parameters for special chart types such as Renko, Heikin Ashi, Kagi, Line Break, and Point & Figure, adjusting reversal, number of lines, ATR length, etc.
1️⃣2️⃣ Timeframe – Enables using SuperTrend on a higher timeframe.
1️⃣3️⃣ Wait for Timeframe Closes -
✅ Enabled – Displays Vix_Fix smoothly with interruptions.
❌ Disabled – Displays Vix_Fix smoothly without interruptions.
☄️ If you find this indicator useful, leave a Boost to support its development!
Every feedback helps to continuously improve the tool, offering an even more effective trading experience. Share your thoughts in the comments! 🚀🔥
在脚本中搜索"vix"
VIXRatio HistogramVIX3M-VIX Difference Histogram Indicator
Overview
This indicator measures the difference between the 3-month VIX (VIX3M) and the standard 30-day VIX, displayed as a color-coded histogram. When the histogram is green, VIX3M exceeds VIX, indicating a normal term structure. When red, the term structure is inverted.
Market Timing Benefits
The VIX3M-VIX spread serves as a powerful market timing tool for daily chart analysis:
- Green Histogram (Positive Spread) : Represents a normal volatility term structure where longer-dated volatility (VIX3M) is priced higher than short-term volatility (VIX). This typically occurs during relatively stable market conditions and signals potentially favorable environments for risk assets.
- Red Histogram (Negative Spread) : Indicates volatility term structure inversion, where short-term volatility expectations exceed longer-term expectations. This pattern often emerges during market stress and can signal heightened risk aversion.
- Transition Points : The crossing of the histogram from positive to negative (or vice versa) frequently precedes significant market turning points, offering early warning signals for potential trend changes.
- Magnitude Awareness : The size of the histogram bars indicates the intensity of the relationship – larger green bars suggest strong market confidence, while deeper red bars may signal severe market distress.
Recommended Usage
For optimal results, use this indicator on the daily timeframe alongside trend analysis and other market breadth indicators. The VIXRatio relationship has historically provided valuable context for market conditions, helping traders adjust positioning before major market shifts materialize in price action.
To fully understand its power, please refer to this article on Substack
Index Options Expirations and Calendar EffectsFeatures
- Highlights monthly equity options expiration (opex) dates.
- Marks VIX options expiration dates based on standard 30-day offset.
- Shows configurable vanna/charm pre-expiration window (green shading).
- Shows configurable post-opex weakness window (red shading).
- Adjustable colors, start/end offsets, and on/off toggles for each element.
What this does
This overlay highlights option-driven calendar windows around monthly equity options expiration (opex) and VIX options expiration. It draws:
- Solid blue lines on the third Friday of each month (typical monthly opex).
- Dashed orange lines on the Wednesday ~30 days before next month’s opex (typical VIX expiration schedule).
- Green shading during a pre-expiration window when vanna/charm effects are often strongest.
- Red shading during the post-expiration "window of non-strength" often observed into the Tuesday after opex.
How it works
1. Monthly opex is detected when Friday falls between the 15th–21st of the month.
2. VIX expiration is calculated by finding next month’s opex date, then subtracting 30 calendar days and marking that Wednesday.
3. Vanna/charm window (green) : starts on the Monday of the week before opex and ends on Tuesday of opex week.
4. Post-opex weakness window (red) : starts Wednesday of opex week and ends Tuesday after opex.
How to use
- Add to any chart/timeframe.
- Adjust inputs to toggle VIX/opex lines, choose colors, and fine-tune the start/end offsets for shaded windows.
- This is an educational visualization of typical timing and not a trading signal.
Limitations
- Exchange holidays and contract-specific exceptions can shift expirations; this script uses standard calendar rules.
- No forward-looking data is used; all dates are derived from historical and current bar time.
- Past patterns do not guarantee future behavior.
Originality
Provides a single, adjustable visualization combining opex, VIX expiration, and configurable vanna/charm/weakness windows into one tool. Fully explained so non-coders can use it without reading the source code.
Daily Volatility Range (DVR) [GIF]VIX as a Volatility Indicator:
The VIX is a measure of the market's expectation of volatility in the S&P 500 over the next 30 days, based on the prices of S&P 500 options.
The Rule of 16:
A VIX of 16 implies that the market expects the SPX to move up or down by roughly 1% on any given day.
If the VIX is 24, the expected daily move is around 1.5%, and with a VIX of 32, the expected move is around 2%.
The rationale for the rule is that the square root of the number of trading days in a year (approximately 252) is roughly 16.
Example:
If the VIX is at 20, the rule suggests that the SPX might see daily moves of around 1.25%.
Practical Application:
The rule of 16 can be used as a quick and easy way to estimate the potential daily volatility of the S&P 500 based on the VIX.
The Daily Volatility Range:
This indicator cross references the ticker on the chart with it's own volatility index (assuming it has one). Below are the indexes and stocks that have their own volatility index:
S&P 500
Nasdaq 100
Russell 2000
Dow Jones
TLT
Bitcoin
Gold
Crude Oil
Apple
Amazon
Google
IBM
Goldman Sachs
How I use the DVR:
Historic probabilities show that you will close the day within the DVR. However, there are times when those probabilities diminish greatly. One of those times is when you open in the RTH session outside of the DVR. If you open outside the DVR, you can look for the DVR to becomes support/resistance and stay extended outside the DVR. These days can often become muted as most of the most has happened before the market open. However, if we open outside the DVR and break back into range, it is highly probable that we will not break back into those extended ranges.
Indicator Options:
There are 2x and 3x DVR levels that can be plotted. During times of extreme volatility, it will become important to have these plotted.
There is the option to plot calculated pivot points. These are fib ranges that have historically been areas of consolidation or trend reversal. These are projections based on my own research and are not as important as the DVR levels themselves.
There is also an option to color the candles a specific color if the candle closes outside the DVR. This is to highlight the fact that price action has exceeded the range and caution should be taken.
If you have suggestions how to make this indicator better, please let me know in the comments and I will look into it. Thank you!
Gabriel's Global Market CapGabriel's Global Market Cap is a comprehensive financial indicator designed to track and analyze the total market capitalization across multiple asset classes. It incorporates various financial markets, including stocks, bonds, real estate, cryptocurrencies, commodities, derivatives, private equity, insurance, OTC markets, and natural resources, to provide a holistic view of global market dynamics.
This indicator integrates Ehlers' Adaptive Dominant Cycle Detection and a custom VIX formula to adjust market values based on volatility and volume fluctuations, allowing for a more refined understanding of market conditions.
Key Features
✅ Multi-Market Analysis – Tracks 10+ global financial sectors, each represented by a key ETF or index.
✅ Normalization & Readability – Converts market cap values into an easy-to-read format (Millions, Billions, Trillions, Quadrillions).
✅ Volatility & Volume Adjustments – Optional VIX-based smoothing and relative volume adjustment for more dynamic readings.
✅ Ehlers’ Cycle Detection – Utilizes dominant cycle length detection to uncover market rhythms and cyclic behavior.
✅ Risk Thresholds & Background Coloring – Identifies overbought and oversold conditions with cyclic bands and background shading.
✅ Customizable Inputs – Users can toggle different market categories on/off for focused analysis.
✅ Interactive Data Table – Displays real-time values for each asset class in a structured table format.
Market Categories & Data Sources
📈 Global Stock Market – iShares MSCI ACWI ETF (ACWI)
💰 Global Bond Market – Vanguard Total World Bond ETF (BNDW)
🏡 Real Estate Market – iShares Global REIT ETF (REET)
₿ Cryptocurrency Market – Total Crypto Market Cap (CRYPTOCAP:TOTAL)
🌾 Commodities Market – Invesco DB Commodity Index Fund (DBC)
📊 Derivatives Market – CME Group (CME)
🏦 Private Equity & VC – ProShares Global Listed Private Equity ETF (PEX)
🛡️ Insurance Market – SPDR S&P Insurance ETF (KIE)
💹 OTC Markets – OTC Markets Group (OTCM)
⛽ Natural Resources – iShares Global Energy ETF (IXC)
Technical Enhancements
1️⃣ Custom Volatility Index (VIX) Calculation (Work In Progress)
Adjusts asset values based on volatility conditions using Ehlers' Cycle Detection.
Higher VIX reduces market cap, while lower VIX stabilizes it.
2️⃣ Adaptive Market Normalization
Converts absolute market values into a relative strength scale (0-100) for better visual analysis.
Uses historical min/max values to adjust dynamically.
3️⃣ Cyclic Analysis & Overbought/Oversold Levels
Detects hidden market rhythms & time cycles.
Calculates upper and lower risk bands based on dominant cycle length.
Applies background shading for visualizing low or high risk periods.
Customization Options
🔧 Enable/Disable Market Categories – Select which asset classes to track.
📊 Toggle VIX & Volume Smoothing – Adjust how market cap reacts to volatility & volume.
🎨 Cyclic Risk Bands – Highlight overbought/oversold conditions with dynamic background colors.
Visual Elements
📉 Market Cap Trends – Each category is plotted with a unique color.
🌎 Total Global Value (TGV) – A combined index representing all selected markets.
🎨 Background Coloring – Indicates high/low risk periods.
📋 Real-Time Data Table – Displays normalized & raw market cap values in an easy-to-read format.
Practical Applications
📊 Macroeconomic Analysis – Track global liquidity and investment shifts across asset classes.
💹 Volatility & Risk Assessment – Identify high-risk market conditions based on cyclic behavior.
📈 Cross-Market Comparisons – See which sectors are leading or lagging in value growth.
🔍 Crypto & Stock Market Trends – Analyze how traditional and digital assets correlate.
Volatility IndicatorThe volatility indicator presented here is based on multiple volatility indices that reflect the market’s expectation of future price fluctuations across different asset classes, including equities, commodities, and currencies. These indices serve as valuable tools for traders and analysts seeking to anticipate potential market movements, as volatility is a key factor influencing asset prices and market dynamics (Bollerslev, 1986).
Volatility, defined as the magnitude of price changes, is often regarded as a measure of market uncertainty or risk. Financial markets exhibit periods of heightened volatility that may precede significant price movements, whether upward or downward (Christoffersen, 1998). The indicator presented in this script tracks several key volatility indices, including the VIX (S&P 500), GVZ (Gold), OVX (Crude Oil), and others, to help identify periods of increased uncertainty that could signal potential market turning points.
Volatility Indices and Their Relevance
Volatility indices like the VIX are considered “fear gauges” as they reflect the market’s expectation of future volatility derived from the pricing of options. A rising VIX typically signals increasing investor uncertainty and fear, which often precedes market corrections or significant price movements. In contrast, a falling VIX may suggest complacency or confidence in continued market stability (Whaley, 2000).
The other volatility indices incorporated in the indicator script, such as the GVZ (Gold Volatility Index) and OVX (Oil Volatility Index), capture the market’s perception of volatility in specific asset classes. For instance, GVZ reflects market expectations for volatility in the gold market, which can be influenced by factors such as geopolitical instability, inflation expectations, and changes in investor sentiment toward safe-haven assets. Similarly, OVX tracks the implied volatility of crude oil options, which is a crucial factor for predicting price movements in energy markets, often driven by geopolitical events, OPEC decisions, and supply-demand imbalances (Pindyck, 2004).
Using the Indicator to Identify Market Movements
The volatility indicator alerts traders when specific volatility indices exceed a defined threshold, which may signal a change in market sentiment or an upcoming price movement. These thresholds, set by the user, are typically based on historical levels of volatility that have preceded significant market changes. When a volatility index exceeds this threshold, it suggests that market participants expect greater uncertainty, which often correlates with increased price volatility and the possibility of a trend reversal.
For example, if the VIX exceeds a pre-determined level (e.g., 30), it could indicate that investors are anticipating heightened volatility in the equity markets, potentially signaling a downturn or correction in the broader market. On the other hand, if the OVX rises significantly, it could point to an upcoming sharp movement in crude oil prices, driven by changing market expectations about supply, demand, or geopolitical risks (Geman, 2005).
Practical Application
To effectively use this volatility indicator in market analysis, traders should monitor the alert signals generated when any of the volatility indices surpass their thresholds. This can be used to identify periods of market uncertainty or potential market turning points across different sectors, including equities, commodities, and currencies. The indicator can help traders prepare for increased price movements, adjust their risk management strategies, or even take advantage of anticipated price swings through options trading or volatility-based strategies (Black & Scholes, 1973).
Traders may also use this indicator in conjunction with other technical analysis tools to validate the potential for significant market movements. For example, if the VIX exceeds its threshold and the market is simultaneously approaching a critical technical support or resistance level, the trader might consider entering a position that capitalizes on the anticipated price breakout or reversal.
Conclusion
This volatility indicator is a robust tool for identifying market conditions that are conducive to significant price movements. By tracking the behavior of key volatility indices, traders can gain insights into the market’s expectations of future price fluctuations, enabling them to make more informed decisions regarding market entries and exits. Understanding and monitoring volatility can be particularly valuable during times of heightened uncertainty, as changes in volatility often precede substantial shifts in market direction (French et al., 1987).
References
• Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
• Christoffersen, P. F. (1998). Evaluating Interval Forecasts. International Economic Review, 39(4), 841-862.
• Whaley, R. E. (2000). Derivatives on Market Volatility. Journal of Derivatives, 7(4), 71-82.
• Pindyck, R. S. (2004). Volatility and the Pricing of Commodity Derivatives. Journal of Futures Markets, 24(11), 973-987.
• Geman, H. (2005). Commodities and Commodity Derivatives: Modeling and Pricing for Agriculturals, Metals and Energy. John Wiley & Sons.
• Black, F., & Scholes, M. (1973). The Pricing of Options and Corporate Liabilities. Journal of Political Economy, 81(3), 637-654.
• French, K. R., Schwert, G. W., & Stambaugh, R. F. (1987). Expected Stock Returns and Volatility. Journal of Financial Economics, 19(1), 3-29.
Z ScoreWhat Is Z-Score?
Z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. A Z-score of 1.0 would indicate a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean.
CBOE Volatility Index
VIX is the ticker symbol and the popular name for the Chicago Board Options Exchange's CBOE Volatility Index, a popular measure of the stock market's expectation of volatility based on S&P 500 index options. It is calculated and disseminated on a real-time basis by the CBOE, and is often referred to as the fear index or fear gauge. To summarize, VIX is a volatility index derived from S&P 500 options for the 30 days following the measurement date, with the price of each option representing the market's expectation of 30-day forward-looking volatility. The resulting VIX index formulation provides a measure of expected market volatility on which expectations of further stock market volatility in the near future might be based
Z Scores of VIX
When the Z-scored VIX indicator exceeds the +2 standard deviation mark, the system forecasts mean reversion and decreasing volatility and the possibility of an upward trend in S&P500.
When the Z-scored VIX indicator falls below -2 standard deviations, the system predicts future increasing volatility and the possibility of a downward trend in S&P500.
BankNifty Multi-TimeFrames Price Panel [MaestroTrader]█ OVERVIEW
Price Panel provides Nifty /BankNifty Index comprehensive Price Insights on different time intervals. It helps to determine the trend of Index using top Index Heavy Weights along with Dow, India VIX & Index Spot Prices. It helps to determine the price behavior of the underlying Index/stock to make informed decisions while trading.
█ FEATURES
a) Displays Price in Multi Time Frames for Multi time frame analysis
b) Displays Weighted Securities price for Weighted INDEX price analysis.
c) Displays INDIA VIX and DOW for Combined INDIX VOLATALITY Analysis
█ MUTLI TIME FRAME ANALYSIS
How to use Multiple time frame analysis?
Multiple time frame analysis follows a top-down approach when trading and allows traders to gauge the longer-term trend while spotting ideal entries on a smaller time frame. Traders can then conduct technical analysis using multiple time frames to confirm or reject their trading bias.
Multiple time frame analysis, is the process of viewing the same symbols under different time frames. Usually, the larger time frame is used to establish a longer-term trend, while a shorter time frame is used to spot ideal entries into the market.
Let’s Say 75 & 15 TF’s Trend is up, then shorter time 5M is used to spot ideal entries on long side.
█ WEIGHTED INDEXS PRICE ANALYSIS
How to use Weighted Index Price Movement in Multi timeframes?
The index future trading price is based on the trading prices of the individual securities (stocks) that comprise the index basket. In other words, the stocks with higher weights will have more impact on the movement of the index. Price Panel provides the insights of these heavy weight stock price movement in different time frames, that can help you confirm or reject your trading bias.
HDFC Bank (28% Weight) will have more impact on the BankNifty Movement. By looking the top 4 bank's price movement in different timeframes, you can derive the BankNifty price trend.
█ VOLATALITY ANALYSIS
India VIX is a short form for India Volatility Index. It is the volatility index that measures the market’s expectation of volatility over the near term.
A lower VIX level usually implies that the market is confident about the movement and is expecting lower volatility and a stable range.
A higher VIX level usually signals high volatility and lower trader confidence about the current range of the market. A major directional move can be expected in the market and a quick broadening of range can be expected.
█ SETTINGS
• Time Frame Settings: Configure Time Frames 5 Min, 15 Min, 75 Min
• Table Settings: Configure Table Styles- Position- Font Color
• Symbol Settings: Configure Securities. Toggle (on/Off) Securities display.
• Index Settings: Display Bank Nifty or Nifty Heavy Weights.
█ PANEL DISPLAY VARIATIONS
BANK NIFTY VIEW
NIFTY VIEW
WITHOUT STOCKS - ONLY INDEX, VIX, DOW
█ THANKS
Thanks to Pine Team for this new great feature tables & Thanks to PineCoders for the `f_strRightOf` function.
█ DISCLIAMER
Indicator is built for educational purposes. Test it before use.
Hope - These features help you get quick insights of the price movement to take informed trades.
You are free to use the code, please share the credit for reuse.
Happy Trading !!
Equity Risk PremiumInspired by the article "2020's Best Performing Hedge Fund Warns Of 'Incredible Move' Around The Election" from ZeroHedge:
This script explores the relationship and attempts to find dislocation between equity risk (VIX) and high-yield corporate debt risk (VXHYG, The Cboe VXHYG Index is an estimate of the expected 30-day volatility of the return on iShares' High Yield Grade ETF (HYG). VXHYG is derived by applying the VIX algorithm to options on HYG).
The basic logic is (closing price of VIX / closing price of VXHYG) - 1. When equity risk is high and credit risk is low, the value of premium will be high, and vice-versa.
“'Equity volatility is almost inescapably high. Is that a good form of insurance? The payoff profiles are nothing like they were back in January. Whereas in credit, we’re almost back to where we were in January.
I find today the risk-reward profile of credit to be basically among the worst, relative to other things, I’ve seen in my career,' Weinstein said. 'A VIX at 20 used to be quite a feat. Here we are at 30, and the credit market hasn’t blinked.'
As a result of the gaping divergence between the VIX and credit spreads - the two had moved in tandem for years, but in August the two series blew out as the VIX started rising as spreads kept falling - Weinstein has pounced on the trade, betting on vol compression."
When equity risk premium is high, the market may be forming a local top.
When equity risk premium is low, the market may be forming a local bottom.
Make sure to select your current timeframe on the dropdown menu.
Composite Sentiment Indicator (SPY/QQQ/SOXX + VixFix)# Multi-Index Composite Sentiment Indicator
A comprehensive sentiment indicator that works across SPY, QQQ, SOXX, and custom symbols. Combines volatility, options flow, macro factors, technicals, and seasonality into a single z-score composite.
## What It Does
Takes multiple market sentiment inputs (VIX, put/call ratios, breadth, yields, etc.) and smooshes them into one normalized line. When the composite is high = markets getting spooked. When it's low = markets getting complacent.
## Key Features
- **Multi-Index Support**: Automatically adapts for SPY (uses VIX), QQQ (uses VXN), SOXX (uses VixFix), or custom symbols
- **VixFix Integration**: Larry Williams' VixFix for indices without dedicated VIX measures
- **Signal MA**: Choose from SMA/EMA/WMA/HMA/TEMA/DEMA with color coding (red above MA = risk-on, green below = risk-off)
- **September Focus**: Built-in seasonality weighting for September weakness patterns
- **Comprehensive Components**: Volatility, options sentiment, macro factors, technicals, and sector-specific metrics
## How to Use
**Basic Setup:**
1. Pick your index (SPY/QQQ/SOXX)
2. Choose signal MA type and length (EMA 21 is a good start)
3. Watch for extreme readings and MA crossovers
**Color Signals:**
- Red composite = above signal MA = bearish sentiment
- Green composite = below signal MA = bullish sentiment
- Extreme high readings (red background) = potential tops
- Extreme low readings (green background) = potential bottoms
**For Different Indices:**
- **QQQ**: Uses NASDAQ VIX (VXN) when available, falls back to VixFix
- **SOXX**: Includes semiconductor cycle indicators, uses VixFix for volatility
- **Custom**: Adapts automatically, relies on VixFix and general market metrics
## Components Included
**Volatility**: VIX/VXN/VixFix, term structure, historical vol
**Options**: Put/call ratios, SKEW index
**Macro**: DXY, 10Y yields, yield curve, TIPS spreads
**Technical**: RSI deviation, momentum
**Seasonality**: September effects, quad witching, month-end patterns
**Breadth**: S&P 500 and NASDAQ breadth measures
## Pro Tips
- Works well on Daily Timeframe
- September gets extra weight automatically - watch for August setup signals
- Keltner envelope breaks often mark sentiment exhaustion points
- Use alerts for extreme readings and MA crossovers
Works best when you understand that sentiment extremes often mark turning points, not continuation signals. High readings don't mean "keep shorting" - they mean "start looking for reversal setups."
## Settings Worth Tweaking
- Signal MA type/length for your timeframe
- Component weights based on what matters for your index
- Envelope multipliers for your risk tolerance
- VixFix parameters if default doesn't fit your symbol's volatility
The table shows all current component readings so you can see what's driving the signal. Good for context and debugging weird readings.
Defense Mode Dashboard ProWhat it is
A one‑look market regime dashboard for ES, NQ, YM, RTY, and SPY that tells you when to play defense, when you might have an offense cue, and when to chill. It blends VIX, VIX term structure, ATR 5 over 60, and session gap signals with clean alerts and a compact table you can park anywhere.
Why traders like it
Because it filters out the noise. Regime first, tactics second. You avoid trading size into landmines and lean in when volatility cooperates.
What it measures
Volatility stress with VIX level and VIX vs 20‑SMA
Term structure using VX1 vs VX2 with two modes
Diff mode: VX1 minus VX2
Ratio mode: VX1 divided by VX2
Realized volatility using ATR5 over ATR60 with optional smoothing
Session risk from RTH opening gaps and overnight range, normalized by ATR
How to use in 30 seconds
Pick a preset in the inputs. ES, NQ, YM, RTY, SPY are ready.
Leave thresholds at defaults to start.
Add one TradingView alert using “Any alert() function call”.
Trade smaller or stand aside when the header reads DEFENSE ON. Consider leaning in only when you see OFFENSE CUE and your playbook agrees.
Defaults we recommend
VIX triggers: 22 and 1.25× the 20‑SMA
Term mode: Diff with tolerance 0.00. Use Ratio at 1.00+ for choppier markets
ATR 5/60 defense: 1.25. Offense cue: 0.85 or lower
ATR smoothing: 1. Try 2 to 3 if you want fewer flips
Gap mode: RTH. Turn Both on if you want ON range to count too
RTH wild gap: 0.60× ATR5. ON wild range: 0.80× ATR5
Alert cadence: Once per RTH session
Snooze: Quick snooze first 30 minutes on. Fire on snooze exit off, unless you really want the catch‑up ping
New since the last description
Multi‑asset presets set symbols and RTH windows for ES, NQ, YM, RTY, SPY
Term ratio mode with near‑flat warning when ratio is between 1.00 and your trigger
ATR smoothing for the 5 over 60 ratio
RTH keying for cadence, so “Once per RTH session” behaves like a trader expects
Snooze upgrades with quick snooze tied to the first N minutes of RTH and an optional fire‑on‑snooze‑exit
Compact title merge and user color controls for labels, values, borders, and background
Exposed series for integrations: DefenseOn(1=yes) and OffenseCue(1=yes)
Debug toggle to visualize gap points, ON range, and term readings
Stronger NA handling with a clear “No core data” row when feeds are missing
Notes
Dynamic alerts require “Any alert() function call”.
Works on any chart timeframe. Daily reads and 1‑minute anchors handle the regime logic.
Recession Warning Model [BackQuant]Recession Warning Model
Overview
The Recession Warning Model (RWM) is a Pine Script® indicator designed to estimate the probability of an economic recession by integrating multiple macroeconomic, market sentiment, and labor market indicators. It combines over a dozen data series into a transparent, adaptive, and actionable tool for traders, portfolio managers, and researchers. The model provides customizable complexity levels, display modes, and data processing options to accommodate various analytical requirements while ensuring robustness through dynamic weighting and regime-aware adjustments.
Purpose
The RWM fulfills the need for a concise yet comprehensive tool to monitor recession risk. Unlike approaches relying on a single metric, such as yield-curve inversion, or extensive economic reports, it consolidates multiple data sources into a single probability output. The model identifies active indicators, their confidence levels, and the current economic regime, enabling users to anticipate downturns and adjust strategies accordingly.
Core Features
- Indicator Families : Incorporates 13 indicators across five categories: Yield, Labor, Sentiment, Production, and Financial Stress.
- Dynamic Weighting : Adjusts indicator weights based on recent predictive accuracy, constrained within user-defined boundaries.
- Leading and Coincident Split : Separates early-warning (leading) and confirmatory (coincident) signals, with adjustable weighting (default 60/40 mix).
- Economic Regime Sensitivity : Modulates output sensitivity based on market conditions (Expansion, Late-Cycle, Stress, Crisis), using a composite of VIX, yield-curve, financial conditions, and credit spreads.
- Display Options : Supports four modes—Probability (0-100%), Binary (four risk bins), Lead/Coincident, and Ensemble (blended probability).
- Confidence Intervals : Reflects model stability, widening during high volatility or conflicting signals.
- Alerts : Configurable thresholds (Watch, Caution, Warning, Alert) with persistence filters to minimize false signals.
- Data Export : Enables CSV output for probabilities, signals, and regimes, facilitating external analysis in Python or R.
Model Complexity Levels
Users can select from four tiers to balance simplicity and depth:
1. Essential : Focuses on three core indicators—yield-curve spread, jobless claims, and unemployment change—for minimalistic monitoring.
2. Standard : Expands to nine indicators, adding consumer confidence, PMI, VIX, S&P 500 trend, money supply vs. GDP, and the Sahm Rule.
3. Professional : Includes all 13 indicators, incorporating financial conditions, credit spreads, JOLTS vacancies, and wage growth.
4. Research : Unlocks all indicators plus experimental settings for advanced users.
Key Indicators
Below is a summary of the 13 indicators, their data sources, and economic significance:
- Yield-Curve Spread : Difference between 10-year and 3-month Treasury yields. Negative spreads signal banking sector stress.
- Jobless Claims : Four-week moving average of unemployment claims. Sustained increases indicate rising layoffs.
- Unemployment Change : Three-month change in unemployment rate. Sharp rises often precede recessions.
- Sahm Rule : Triggers when unemployment rises 0.5% above its 12-month low, a reliable recession indicator.
- Consumer Confidence : University of Michigan survey. Declines reflect household pessimism, impacting spending.
- PMI : Purchasing Managers’ Index. Values below 50 indicate manufacturing contraction.
- VIX : CBOE Volatility Index. Elevated levels suggest market anticipation of economic distress.
- S&P 500 Growth : Weekly moving average trend. Declines reduce wealth effects, curbing consumption.
- M2 + GDP Trend : Monitors money supply and real GDP. Simultaneous declines signal credit contraction.
- NFCI : Chicago Fed’s National Financial Conditions Index. Positive values indicate tighter conditions.
- Credit Spreads : Proxy for corporate bond spreads using 10-year vs. 2-year Treasury yields. Widening spreads reflect stress.
- JOLTS Vacancies : Job openings data. Significant drops precede hiring slowdowns.
- Wage Growth : Year-over-year change in average hourly earnings. Late-cycle spikes often signal economic overheating.
Data Processing
- Rate of Change (ROC) : Optionally applied to capture momentum in data series (default: 21-bar period).
- Z-Score Normalization : Standardizes indicators to a common scale (default: 252-bar lookback).
- Smoothing : Applies a short moving average to final signals (default: 5-bar period) to reduce noise.
- Binary Signals : Generated for each indicator (e.g., yield-curve inverted or PMI below 50) based on thresholds or Z-score deviations.
Probability Calculation
1. Each indicator’s binary signal is weighted according to user settings or dynamic performance.
2. Weights are normalized to sum to 100% across active indicators.
3. Leading and coincident signals are aggregated separately (if split mode is enabled) and combined using the specified mix.
4. The probability is adjusted by a regime multiplier, amplifying risk during Stress or Crisis regimes.
5. Optional smoothing ensures stable outputs.
Display and Visualization
- Probability Mode : Plots a continuous 0-100% recession probability with color gradients and confidence bands.
- Binary Mode : Categorizes risk into four levels (Minimal, Watch, Caution, Alert) for simplified dashboards.
- Lead/Coincident Mode : Displays leading and coincident probabilities separately to track signal divergence.
- Ensemble Mode : Averages traditional and split probabilities for a balanced view.
- Regime Background : Color-coded overlays (green for Expansion, orange for Late-Cycle, amber for Stress, red for Crisis).
- Analytics Table : Optional dashboard showing probability, confidence, regime, and top indicator statuses.
Practical Applications
- Asset Allocation : Adjust equity or bond exposures based on sustained probability increases.
- Risk Management : Hedge portfolios with VIX futures or options during regime shifts to Stress or Crisis.
- Sector Rotation : Shift toward defensive sectors when coincident signals rise above 50%.
- Trading Filters : Disable short-term strategies during high-risk regimes.
- Event Timing : Scale positions ahead of high-impact data releases when probability and VIX are elevated.
Configuration Guidelines
- Enable ROC and Z-score for consistent indicator comparison unless raw data is preferred.
- Use dynamic weighting with at least one economic cycle of data for optimal performance.
- Monitor stress composite scores above 80 alongside probabilities above 70 for critical risk signals.
- Adjust adaptation speed (default: 0.1) to 0.2 during Crisis regimes for faster indicator prioritization.
- Combine RWM with complementary tools (e.g., liquidity metrics) for intraday or short-term trading.
Limitations
- Macro indicators lag intraday market moves, making RWM better suited for strategic rather than tactical trading.
- Historical data availability may constrain dynamic weighting on shorter timeframes.
- Model accuracy depends on the quality and timeliness of economic data feeds.
Final Note
The Recession Warning Model provides a disciplined framework for monitoring economic downturn risks. By integrating diverse indicators with transparent weighting and regime-aware adjustments, it empowers users to make informed decisions in portfolio management, risk hedging, or macroeconomic research. Regular review of model outputs alongside market-specific tools ensures its effective application across varying market conditions.
Mean Reversion Trading With IV Metrics (By MC) - Mobile FriendlyThis script is a comprehensive toolkit for traders who want to combine price mean reversion analysis with advanced volatility metrics, including Implied Volatility Rank (IVR), Implied/“Fair” Volatility projections, and real-time market volatility indicators. It is optimized for both desktop and mobile use, providing a detailed statistics table directly on the chart, and is suitable for stocks, ETFs, indices, and even paired asset analysis.
Key Features & How They Work Together
1. Mean Reversion Probability & Z-Score
Mean Reversion Analysis: Calculates z-scores and statistical probabilities that the asset’s price will revert to its mean, using customizable lookback windows (e.g., 10-60 bars). This helps traders spot potentially overbought or oversold conditions.
Strong & Moderate Signals: Highlights strong and moderate reversion opportunities based on user-defined probability thresholds, providing clear visual cues for timing entries and exits.
2. Paired Asset Correlation
Pairs Trading Support: Allows comparison of two symbols (e.g., SPY vs TLT). It computes the ratio, rolling mean, standard deviation, and correlation, helping traders identify divergence/convergence opportunities in pairs trading.
3. Volatility Metrics & Projections
Historical & Implied Volatility: Estimates implied volatility (IV) using historical price data, calculates IVR (the asset’s IV relative to its own history), and provides user-customized percentile bands (e.g., 20th/80th percentiles).
Fair IV Calculation: Offers three methods to compute “fair” volatility:
Market-Aware (relative to VIX/SPX HV)
SMA of historical volatility
SMA of VIX Traders can choose the method that best fits current market conditions.
Future Projections: Projects IV, “Fair” IV, and IVR for a user-defined future period, giving insight into potential volatility trends.
4. Implied Move Range
Implied Move Calculation: Shows the expected price range (upper/lower bounds) for the forecast period based on the current IV, making risk management and target setting more objective.
Dynamic Labels: Automatically updates labels with the latest projected moves and bounds, keeping traders informed in real time.
5. Market Volatility Dashboard
Broad Market Indicators: Displays real-time values and daily changes for VIX, VIX1D, VVIX, MOVE (bond volatility), GVZ (gold volatility), and OVX (oil volatility). Color-coded thresholds help traders gauge market stress across asset classes.
Correlation to SPY: Shows how closely the asset moves with SPY, aiding in diversification and hedging decisions.
6. Performance Metrics
Daily Move Analysis: Tracks today’s price move (absolute and percentage), average rises/falls, and the percentage of green/red days over a custom period.
Trade Quality Assessment: Ranks trade opportunities (High/Moderate/Low/Very Low) based on mean reversion probability.
7. Highly Customizable Table
Mobile Friendly: The stats table can be placed anywhere on the chart, toggled between compact/full/extra modes, and resized for readability on any device.
Visual Cues: Color coding and dynamic labels make interpretation easy and fast.
8. Alert Conditions
Built-in alerts for strong/moderate mean reversion, IV crossing above/below “Fair” IV, allowing proactive trade management.
9. VIX-Based Expected Move Bands
Optionally plots ±1, 2, 3 standard deviation bands using VIX-based expected move, helping to visualize potential price extremes.
How These Features Help Traders
Unified Trading Dashboard: All key mean reversion and volatility insights are available at a glance, reducing the need to switch between multiple indicators or screens.
Informed Entries & Exits: By combining mean reversion probabilities, IV projections, and market volatility, traders can time trades more confidently and avoid false signals.
Risk Management: The implied move bounds and volatility levels support realistic stop-loss and target setting, adapting dynamically to market conditions.
Cross-Asset Awareness: Market-wide volatility metrics and asset correlation to SPY provide context, helping traders avoid surprises from macro shocks.
Pairs Trading: Direct support for ratio and correlation analysis streamlines pairs strategies.
Customization & Clarity: The flexible UI and color-coded stats make the tool accessible for both beginners and advanced users.
Mean Reversion, Correlation value & interpretation:
For Meant Reversion % Probability:
Lookback Period to use:
| Trading Horizon | Lookback Period (Length) | Rationale |
| 5–10 days | 10–20 bars | More sensitive, good for quick reversals |
| 10–20 days | 20–30 bars | Standard for short swing |
| 20–40 days | 40–60 bars | More stable mean for longer swing |
Interpretation Guide:
Only consider trades if Correlation ≥ 0.6 or Reversion % ≥ 75%.
Avoid trades with Reversion % < 20%.
Correlation and Reversion % together form a powerful trade quality filter.
| Reversion % | Correlation | Signal Strength | Action |
| ≥ 75% | ≥ 0.4 | High Probability | Consider full position |
| ≥ 50% | ≥ 0.6 | Moderate Probability | Trade with standard size |
| ≥ 75% | < 0.4 | Uncorrelated Edge | Trade small or hedge carefully |
| < 50% | Any | Weak | Avoid |
| Any | < 0.3 | Low Coherence | Avoid unless extreme Reversion |
| Correlation Value | Interpretation |
| +1.0 | Perfect positive correlation (price of both move in the same direction)|
| +0.7 to +0.9 | Strong positive correlation |
| +0.4 to +0.6 | Moderate positive correlation |
| 0 | No correlation (independent) |
| -0.4 to -0.6 | Moderate negative correlation |
| -0.7 to -0.9 | Strong negative correlation |
| -1.0 | Perfect negative correlation (price both move in the opposite direction)|
Summary:
This script empowers traders to navigate markets with a robust, data-driven approach, seamlessly blending mean reversion analytics with deep volatility insight—all in a mobile-friendly, customizable dashboard.
Disclaimer
This tool is for informational and educational purposes only. It does not provide financial advice or trading signals. Always do your own research and consult a professional before making investment decisions.
Previous High and Low Count with Probabilities + Risk On/Off1. Purpose of the Script:
This trading script combines two important concepts:
Previous High and Low Count: It tracks whether the current price exceeds the previous day’s high or low and calculates probabilities for the next price movement (up or down).
Risk On / Risk Off Indicator: It evaluates market sentiment through various indicators (such as the Fear & Greed Index, VIX, and others) and shows whether the market is in a risk-on or risk-off state. This information impacts the probabilities of price movement.
2. How it Works:
Previous High and Low:
The script tracks how often the price exceeds the previous day’s high or low and calculates the probability of an upward or downward movement based on that. This gives you an idea of how often the market reacts at the previous day's high or low.
Risk On / Risk Off:
Based on various market factors (Fear & Greed Index, VIX, Put-Call Ratio, etc.), the script calculates the Risk On or Risk Off state.
In Risk On, the probability of an upward movement increases, and the probability of a downward movement decreases. In Risk Off, it’s the opposite.
Adjusted Probabilities:
The probabilities for an Up or Down movement are adjusted based on the current Risk On / Risk Off state. In a Risk On environment, the probability for an upward move increases, while in a Risk Off environment, the probability for a downward move increases.
3. How to Use the Script:
Add the Script in TradingView:
TradingView:
Click on "Add to Chart" to apply the script to your chart.
Manual Input of Indicators:
For the Fear & Greed Index, VIX, and other indicators, you need to manually enter the current values. You can get these values from various publicly available sources:
Fear & Greed Index: CNN Fear & Greed Index
VIX (Volatility Index): VIX Index
Other indicators like Put-Call Ratio, Bitcoin Volatility, Oil Prices, and US Dollar Index can also be manually inputted, and they can be found on finance websites like Yahoo Finance, MarketWatch, and Bloomberg.
Observe the Colors and Symbols:
If the market is in a Risk On state, the background will turn green, and a green triangle will appear below the candle.
If the market is in a Risk Off state, the background will turn red, and a red triangle will appear above the candle.
Track the Probabilities:
A label will appear on the chart showing the calculated probabilities for Up and Down movements. These probabilities are adjusted based on the current market state (Risk On/Off).
4. Meaning of the Probabilities:
Up Probability: Indicates the probability that the price will rise.
Down Probability: Indicates the probability that the price will fall.
The probabilities are dynamic and adjust based on the Risk On / Risk Off state, helping you make better decisions based on the current market conditions.
Financial Crisis Predictor - Doomsday ClockThe **Financial Crisis Predictor - Doomsday Clock** is a composite indicator that evaluates multiple market conditions to determine financial risk levels. It combines four key metrics: market volatility (via VIX), yield curve spread, stock market momentum, and credit risk (via high-yield spread). Each metric contributes to a weighted "risk score," scaled between 0 and 100, which helps gauge the probability of a financial crisis. Here's a breakdown of how it works:
### 1. **Market Volatility (VIX)**
- **How it's measured:**
- Uses the VIX index, which represents expected market volatility.
- Applies two exponential moving averages (EMAs) to smooth out the data—one fast and one slow.
- Triggers a signal if the fast EMA crosses above the slow EMA and VIX exceeds a defined threshold (default is 30).
- **Weighting:**
- Contributes up to 35% of the total risk score when active.
### 2. **Yield Curve Spread**
- **How it's measured:**
- Takes the difference between the yields of 10-year and 2-year U.S. Treasury bonds (inversion indicates recession risk).
- If the spread drops below a certain threshold (default is 0.2), it signals a potential recession.
- **Weighting:**
- Contributes up to 25% of the risk score.
### 3. **Stock Market Momentum**
- **How it's measured:**
- Analyzes the S&P 500 (SPY) using a 20-day EMA for price momentum.
- Checks for a cross under the 20-day EMA and if the 5-day rate of change (ROC) is less than -2.
- This combination signals bearish market momentum.
- **Weighting:**
- Contributes up to 20% of the risk score.
### 4. **Credit Risk (High Yield Spread)**
- **How it's measured:**
- Assesses high-yield corporate bond spreads using EMAs, similar to the VIX logic.
- A crossover of the fast EMA above the slow EMA combined with spreads exceeding a defined threshold (default is 5.0) indicates increased credit risk.
- **Weighting:**
- Contributes up to 20% of the total risk score.
### 5. **Risk Score Calculation**
- The final **risk score** ranges from 0 to 100 and is calculated using the weighted sum of the four indicators.
- The score is smoothed to minimize false signals and maintain stability.
### 6. **Risk Zones**
- **Extreme Risk:** If the risk score is ≥ 75, indicating a severe crisis warning.
- **High Risk:** If the risk score is between 15 and 75, signaling heightened risk.
- **Moderate Risk:** If the risk score is between 10 and 15, representing potential concerns.
- **Low Risk:** If the risk score is < 10, suggesting stable conditions.
### 7. **Visual & Alerts**
- The indicator plots the risk score on a chart with color-coded backgrounds to indicate risk levels: green (low), yellow (moderate), orange (high), and red (extreme).
- Alert conditions are set for each risk zone, notifying users when the risk level transitions into a higher zone.
This indicator aims to quickly detect potential financial crises by aggregating signals from key market factors, making it a versatile tool for traders, analysts, and risk managers.
[blackcat] L2 Votatility of Williams VixFix Risk AssessmentHey there! I previously wrote an article about the Larry Williams ViX Fix technical indicator. Soon after, friends from the TradingView community told me that this indicator could be combined with the Risk Assessment indicator I wrote about earlier to determine when to go long or short. At the time, I found it a bit cumbersome to use both indicators together, so I came up with a solution: to merge them. This way, we can use one technical indicator to visually see whether we should go long or short. Isn't that cool? The indicator has a very common name: ** L2 Votatility of Williams VixFix Risk Assessment, or VoWVRA for short.**
This TradingView Pine Script is a custom indicator based on the Larry Williams ViX Fix technical indicator, designed to help traders with risk assessment and trading decisions. The Larry Williams ViX Fix indicator is derived from the volatility of the S&P 500 index and is mainly used to display changes in current market sentiment. The indicator determines market volatility by calculating the distance between the highest price, the lowest price, and the closing price. The higher the value of the indicator, the more tense the market sentiment, and the higher the market volatility; conversely, the lower the value, the more stable the market sentiment and the lower the market volatility.
The VoWVRA indicator is based on the Larry Williams ViX Fix indicator, combined with technical indicators such as Bollinger Bands and EMA, to assess market risk. The indicator can be customized with input parameters to suit different markets and investor needs. Using the VoWVRA indicator can help traders make wiser choices in risk control and trading decisions.
In addition, this TradingView Pine Script also includes a risk assessment indicator. The indicator calculates a series of values and then applies the exponential moving average (EMA) to the percentage change between the closing price and the highest and lowest prices within a certain range to determine the safety level. The safety level is then compared to different thresholds to determine the market's risk level. The risk assessment indicator can be customized with input parameters such as risk length, safety length, and EMA length to suit different market conditions and investor preferences. Using the risk assessment indicator can help traders make wiser decisions in risk management and trading strategies.
By using the VoWVRA and risk assessment indicators, traders can more accurately assess market risk and make wiser choices in trading decisions.
Expected SPX Movement by timeframeTHIS INDICATOR ONLY WORKS FOR SP:SPX CHART
This code will help you to measure the expected movement of SP:SPX in a previously selected timeframe based on the current value of VIX index
E.g. if the current value of VIX is 30 we calculate first the expected move of the next 12 months.
If you selected the Daily timeframe it will calculate the expected move of SPX in the next Day by dividing the current VIX Value by the squared root of 252
(The 252 value corresponds to the approximate amount of trading sessions of the year)
If you selected the Weekly timeframe it will calculate the expected move of SPX in the next Week by dividing the current VIX Value by the squared root of 52
(The 52 value corresponds to the amount of weeks of the year)
If you selected the Monthly timeframe it will calculate the expected move of SPX in the next Week by dividing the current VIX Value by the squared root of 12
(The 12 value corresponds to the amount of months of the year)
For lower timeframes you have to calculate the amount of ticks in each trading session of the year in order to get that specific range
Once you have that calculation it it'll provide the range expressed as percentage of the expected move for the following period.
This script will plot that information in a range of 2 lines which represents the expected move of the SPX for the next period
The red flag indicator tells if that period closed between the 2 previous values marked by the range
BF_VolVolGenerally VVIX, VIX of VIX is called as a volatility of volatility. Here we will calculate the ratio of VVIX over VIX and then smooth it out with 5 days SMA and it will be called as VolVol indicator .
By monitoring VolVol indicator, we can peek in the trend of S&P50 market volatility as well as investor's sentiment.
When VolVol indicator is increasing, the market volatility is decreasing and bullish sentiment,
When VolVol indicator is decreasing, the market volatility is increasing and bearish sentiment.
In addition to the 5 days SMA, 20 days look back Bollinger band is added. Note that VIX or VVIX is an expected volatility of 30-day forward price of S&P 500 or VIX respectively, and the 20 days look back period represent last 20 trading days which is equivalent to the last 30 days (approximately 20 trading days during last 30 calendar days) of realized historical price.
When 5 days SMA of VolVol is golden crossing the mid line of the Bollinger band, it is considered as a strong bullish signal and market volatility is decreasing,
When 5 days SMA of VolVol is dead crossing the mid line of the Bollinger band, it is considered as a strong bearish signal and market volatility is increasing.
Consider VolVol indicator as a psychology expression of market participants behavior and sentiment.
MACD PlusMoving Average Convergence Divergence – MACD
The MACD is an extremely popular indicator used in technical analysis. It can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes the MACD so informative is that it is actually the combination of two different types of indicators. First, the MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, it takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum.
Added Color Plots to Settings Pane.
Switched MTF Logic to turn ON/OFF automatically w/ TradingView's Built in Feature.
Added Ability to Turn ON/OFF Show MacD & Signal Line.
Added Ability to Turn ON/OFF Show Histogram.
Added Ability to Change MACD Line Colors Based on Trend.
Added Ability to Highlight Price Bars Based on Trend.
Added Alerts to Settings Pane.
Customized Alerts to Show Symbol, TimeFrame, Closing Price, MACD Crosses Up & MACD Crosses Down Signals in Alert.
Alerts are Pre-Set to only Alert on Bar Close.
Added ability to show Dots when MACD Crosses.
Added Ability to Change Plot Widths in Settings Pane.
Added in Alert Feature where Cross Up if above 0 or cross down if below 0 (OFF By Default).
Squeeze Pro
Traditionally, John Carter's version uses 20 period SMAs as the basis lines on both the BB and the KC.
In this version, I've given the freedom to change this and try out different types of moving averages.
The original squeeze indicator had only one Squeeze setting, though this new one has three.
The gray dot Squeeze, call it a "low squeeze" or an "early squeeze" - this is the easiest Squeeze to form based on its settings.
The orange dot Squeeze is the original from the first Squeeze indicator.
And finally, the yellow dot squeeze, call it a "high squeeze" or "power squeeze" - is the most difficult to form and suggests price is under extreme levels of compression.
Colored Directional Movement Index (CDMI) , a custom interpretation of J. Welles Wilder’s Directional Movement Index (DMI), where :
DMI is a collection of three separate indicators ( ADX , +DI , -DI ) combined into one and measures the trend’s strength as well as its direction
CDMI is a custom interpretation of DMI which presents ( ADX , +DI , -DI ) with a color scale - representing the trend’s strength, color density - representing momentum/slope of the trend’s strength, and triangle up/down shapes - representing the trend’s direction. CDMI provides all the information in a single line with colored triangle shapes plotted on the bottom. DMI can provide quality information and even trading signals but it is not an easy indicator to master, whereus CDMI simplifies its usage. The CDMI adds additional insight of verifying/confirming the trend as well as its strength
Label :
Displaying the trend strength and direction
Displaying adx and di+/di- values
Displaying adx's momentum (growing or falling)
Where tooltip label describes "howto read colored dmi line"
Ability to display historical values of DMI readings displayed in the label.
Added "Expert Trend Locator - XTL"
The XTL was developed by Tom Joseph (in his book Applying Technical Analysis ) to identify major trends, similar to Elliott Wave 3 type swings.
Blue bars are bullish and indicate a potential upwards impulse.
Red bars are bearish and indicate a potential downwards impulse.
White bars indicate no trend is detected at the moment.
Added "Williams Vix Fix" signal. The Vix is one of the most reliable indicators in history for finding market bottoms. The Williams Vix Fix is simply a code from Larry Williams creating almost identical results for creating the same ability the Vix has to all assets.
The VIX has always been much better at signaling bottoms than tops. Simple reason is when market falls retail traders panic and increase volatility , and professionals come in and capitalize on the situation. At market tops there is no one panicking... just liquidity drying up.
The FE green triangles are "Filtered Entries"
The AE green triangles are "Aggressive Filtered Entries"
Volatility barometerIt is the indicator that analyzes the behaviour of VIX against CBOE volaility indices (VIX3M, VIX6M and VIX1Y) and VIX futures (next contract to the front one - VX!2). Because VIX is a derivate of SPX, the indicator shall be used on the SPX chart (or equivalent like SPY).
When the readings get above 90 / below 10, it means the market is overbought / oversold in terms of implied volatility. However, it does not mean it will reverse - if the price go higher along with the indicator readings then everything is fine. There is an alarming situation when the SPX is diverging - e.g. the price go higher, the readings lower. It means the SPX does not play in the same team as IVOL anymore and might reverse.
You can use it in conjunction with other implied volatility indicators for stronger signals: the Correlation overlay ( - the indicator that measures the correlation between VVIX and VIX) and VVIX/VIX ratio (it generates a signal the ratio makes 50wk high).
Squeeze Momentum [Plus]The "Momentum" in this indicator is smoothed out using linear regression. The Momentum is what is displayed on the indicator as a histogram, its purpose is obvious (to show momentum).
What is a Squeeze? A squeeze occurs when Bollinger Bands tighten up enough to slip inside of Keltner Channels .
This is interpreted as price is compressing and building up energy before releasing it and making a big move.
Traditionally, John Carter's version uses 20 period SMAs as the basis lines on both the BB and the KC.
In this version, I've given the freedom to change this and try out different types of moving averages.
The original squeeze indicator had only one Squeeze setting, though this new one has three.
The gray dot Squeeze, call it a "low squeeze" or an "early squeeze" - this is the easiest Squeeze to form based on its settings.
The orange dot Squeeze is the original from the first Squeeze indicator.
And finally, the yellow dot squeeze, call it a "high squeeze" or "power squeeze" - is the most difficult to form and suggests price is under extreme levels of compression.
Now to explain the parameters:
Squeeze Input - This is just the source for the Squeeze to use, default value is closing price.
Length - This is the length of time used to calculate the Bollinger Bands and Keltner Channels .
Bollinger Bands Calculation Type - Selects the type of moving average used to create the Bollinger Bands .
Keltner Channel Calculation Type - Selects the type of moving average used to create the Keltner Channel.
Color Format - you to choose one of 5 different color schemes.
Draw Divergence - Self explanatory here, this will auto-draw divergence on the indicator.
Gray Background for Dark Mode - to make them more visually appealing.
Added ADX (Average Directional Index) that measure a trend’s strength. The higher the ADX value, the stronger the trend. The ADX line is white when it has a positive slope, otherwise it is gray. When the ADX has a very large dispersion with respect to the momentum histogram, increase the scale number.
Added "H (Hull Moving Average) Signal". Hull is a extremely responsive and smooth moving average created by Alan Hull in 2005. Have option to chose between 3 Hull variations.
Added "Williams Vix Fix" signal. The Vix is one of the most reliable indicators in history for finding market bottoms. The Williams Vix Fix is simply a code from Larry Williams creating almost identical results for creating the same ability the Vix has to all assets.
The VIX has always been much better at signaling bottoms than tops. Simple reason is when market falls retail traders panic and increase volatility, and professionals come in and capitalize on the situation. At market tops there is no one panicking... just liquidity drying up.
The FE green triangles are "Filtered Entries"
The AE green triangles are "Aggressive Filtered Entries"
Fear & Greed [theUltimator5]This indicator attempts to replicate CNN's Fear & Greed Index methodology to measure market sentiment on a scale from 0-100. It combines seven key market components into a single sentiment score, where lower values indicate fear and higher values indicate greed.
Note: It is impossible to perfectly replicate the true Fear & Greed indicator due to data limitations, so this indicator attempts to best replicate the output for each of the (7) components using available data.
The uniqueness of this indicator comes from the calculation methods for the 7 components as well as the visual representation of the data, which includes a table and selectable plots for each of the 7 components which make up the overall sentiment. Existing variants of the Fear & Greed Index have substantial flaws in the calculations of several of the components which result in warped final sentiment numbers. This indicator attempts to better track all 7 components and provide a closer model to the actual Fear & Greed index.
Here are the seven components and a brief description of how each are calculated:
1. Market Momentum
Calculation: S&P 500 current price vs. 125-day moving average
Measures how far the market has moved from its long-term trend
Uses CNN-style Z-score normalization over 252 trading days
Higher values indicate strong upward momentum (greed)
Lower values suggest declining momentum (fear)
2. Stock Strength
Calculation: S&P 500 RSI scaled to 252-day range
Uses 14-period RSI of the S&P 500 index
Normalizes RSI values based on their 252-day minimum and maximum
Measures overbought/oversold conditions relative to recent history
Higher values indicate overbought conditions (greed)
Lower values suggest oversold conditions (fear)
3. Price Breadth
Calculation: Modified McClellan Oscillator
Primary: Uses NYSE advancing vs. declining issues with 7-day smoothing
Fallback: Compares sector performance (QQQ, IWM vs. SPY)
Measures how many stocks participate in market moves
Broader participation indicates healthier trends
Narrow breadth suggests selective or weak trends
4. Put/Call Ratio
Calculation: Inverted CBOE Put/Call ratios
Primary: CBOE Equity-only Put/Call ratio (more sensitive)
Fallback: CBOE Total Put/Call ratio
Uses 5-day average and applies CNN normalization
Higher put/call ratios indicate fear (inverted to lower scores)
Lower put/call ratios suggest complacency (higher scores)
5. Market Volatility
Calculation: VIX relative to its 50-day average
Compares current VIX level to its 50-day moving average
Measures deviation from normal volatility expectations
Higher VIX relative to average indicates fear (lower scores)
Lower relative VIX suggests complacency (higher scores)
6. Safe Haven Demand
Calculation: Stock returns vs. bond yield changes
Compares 20-day smoothed S&P 500 returns to Treasury yield changes
When stocks outperform bonds, indicates risk appetite (higher scores)
When bonds outperform stocks, suggests risk aversion (lower scores)
Uses Treasury 10-year yields as the safe haven benchmark
7. Junk Bond Demand
Calculation: High-yield bond spread analysis
Measures yield spread between junk bonds (JNK ETF) and Treasuries
Compares current spread to its 5-day average
Narrowing spreads indicate risk appetite (higher scores)
Widening spreads suggest risk aversion (lower scores)
The combined sentiment is plotted as a single line which changes color based on the current sentiment value.
0-25: Extreme Fear (Red) - Market panic, oversold conditions
26-45: Fear (Orange) - Cautious sentiment, bearish bias
46-55: Neutral (Yellow) - Balanced market sentiment
56-75: Greed (Light Green) - Optimistic sentiment, bullish bias
76-100: Extreme Greed (Green) - Market euphoria, potentially overbought
There are dashed lines to represent the threshold values for each of the sentiments to better visualize transitions.
The table displays each of the (7) components of the index and their respective values. The table can be toggled on/off and the position can be moved.
An optional secondary line can be toggled on to display (1) of the (7) components as a unique color and the component name and value will highlight on the table. The secondary line can be used to dig into the main driving forces behind the overall index value.
Rolling Correlation BTC vs Hedge AssetsRolling Correlation BTC vs Hedge Assets
Overview
This indicator calculates and plots the rolling correlation between Bitcoin (BTC) returns and several key hedge assets:
• XAUUSD (Gold)
• EURUSD (proxy for DXY, U.S. Dollar Index)
• VIX (Volatility Index)
• TLT (20y U.S. Treasury Bonds ETF)
By monitoring these dynamic correlations, traders can identify whether BTC is moving in sync with risk assets or decoupling as a hedge, and adjust their trading strategy accordingly.
How it works
1. Computes returns for BTC and each asset using percentage change.
2. Uses the rolling correlation function (ta.correlation) over a configurable window length (default = 12 bars).
3. Plots each correlation as a separate colored line (Gold = Yellow, EURUSD = Blue, VIX = Red, TLT = Green).
4. Adds threshold levels at +0.3 and -0.3 to help classify correlation regimes.
How to use it
• High positive correlation (> +0.3): BTC is moving together with the asset (risk-on behavior).
• Near zero (-0.3 to +0.3): BTC is showing little to no correlation — neutral/independent moves.
• Negative correlation (< -0.3): BTC is moving in the opposite direction — potential hedge opportunity.
Practical strategies:
• Watch BTC vs VIX: a spike in volatility (VIX ↑) usually coincides with BTC selling pressure.
• Track BTC vs EURUSD: stronger USD often puts downside pressure on BTC.
• Observe BTC vs Gold: during “flight to safety” events, gold rises while BTC weakens.
• Monitor BTC vs TLT: rising yields (falling TLT) often align with BTC weakness.
Inputs
• Window Length (bars): Number of bars used to calculate rolling correlations (default = 12).
• Comparison Timeframe: Default = 5m. Can be changed to align with your intraday or swing trading style.
Notes
• Works best on intraday charts (1m, 5m, 15m) for scalping and short-term setups.
• Use correlations as context, not standalone signals — combine with volume, VWAP, and price action.
• Correlations are dynamic; they can switch regimes quickly during macro events (CPI, NFP, FOMC).
This tool is designed for traders who want to manage risk exposure by monitoring whether BTC is behaving as a risk-on asset or hedge, and to exploit opportunities during decoupling phases.
