Stock ControlThis indicator shows the following values:
Pre-market volume
SPY
ADD
VIX
For each value the background will be colored based on specific internal parameters which can be customized.
The indicator is highly customizable. Here are some of the settings:
Compact view
Text size
Pre-market thresholds
SPY MACD parameters
ADD MACD parameters
VIX Bollinger parameters
VIX CBOE Volatility Index
MS VIX Bull ReversalThis script measures the rebound of the implied volatility of the S&P 500 index options from an excessive panic zone. The IV starts a reversion to the mean as soon as profit taking from the hedge begins. The assumption behind it: this rebound indicates at least the beginning of a countermovement, in uptrends the end of the correction and the trend continuation.
VXN (NQ100 VIX) Implied Move Bands for NQ futures.A spin-off of my similar script for ES futures. This script uses the VXN Index instead of the VIX, which represents the 30-day implied volatility of Nasdaq-100 options and then uses that value to plot bands on the chart, helping traders identify price extremes as identified by the options market. Users can modify the moving average, bands multiplier, and number of lookback days used in the calculation to suit their trading style.
S&P500 VIX Volatility Warning IndicatorToday I am sharing with the community a volatility indicator that can help you or your algorithms avoid black swan events. Variance is most commonly used in statistics to derive standard deviation (with its square root). It does have another practical application, and that is to identify outliers in a sample of data. Variance in statistics is defined as the squared difference between a value and its mean. Calculating that squared difference means that the farther away the value is from the mean, the more the variance will grow (exponentially). This exponential difference makes outliers in the variance data more apparent.
Why does this matter?
There are assets or indices that exist in the stock market that might make us adjust our trading strategy if they are behaving in an unusual way. In some instances, we can use variance to identify that behavior and inform our strategy.
Is that really possible?
Let’s look at the relationship between VIX and the S&P500 as an example. If you trade an S&P500 index with a mean reversion strategy or algorithm, you know that they typically do best in times of volatility. These strategies essentially attempt to “call bottom” on a pullback. Their downside is that sometimes a pullback turns into a regime change, or a black swan event. The other downside is that there is no logical tight stop that actually increases their performance, so when they lose they tend to lose big.
So that begs the question, how might one quantitatively identify if this dip could turn into a regime change or black swan event?
The CBOE Volatility Index (VIX) uses options data to identify, on a large scale, what investors overall expect the market to do in the near future. The Volatility Index spikes in times of uncertainty and when investors expect the market to go down. However, during a black swan event, the VIX spikes a lot harder. We can use variance here to identify if a spike in the VIX exceeds our threshold for a normal market pullback, and potentially avoid entering trades for a period of time (I.e. maybe we don’t buy that dip).
Does this actually work?
In backtesting, this cut the drawdown of my index reversion strategies in half. It also cuts out some good trades (because high investor fear isn’t always indicative of a regime change or black swan event). But, I’ll happily lose out on some good trades in exchange for half the drawdown. Lets look at some examples of periods of time that trades could have been avoided using this strategy/indicator:
Example 1 – With the Volatility Warning Indicator, the mean reversion strategy could have avoided repeatedly buying this pullback that led to SPXL losing over 75% of its value:
Example 2 - June 2018 to June 2019 - With the Volatility Warning Indicator, the drawdown during this period reduces from 22% to 11%, and the overall returns increase from -8% to +3%
How do you use this indicator?
This indicator determines the variance of the VIX against a long term mean. If the variance of the VIX spikes over an input threshold, the indicator goes up. The indicator will remain up for a defined period of bars/time after the variance returns below the threshold. I have included default values I’ve found to be significant for a short-term mean-reversion strategy, but your inputs might depend on your risk tolerance and strategy time-horizon. The default values are for 1hr VIX data. It will pull in variance data for the VIX regardless of which chart the indicator is applied to.
Disclaimer : Open-source scripts I publish in the community are largely meant to spark ideas or be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
vix_vx_regressionAn example of the linear regression library, showing the regression of VX futures on the VIX. The beta might help you weight VX futures when hedging SPX vega exposure. A VX future has point multiplier of 1000, whereas SPX options have a point multiplier of 100. Suppose the front month VX future has a beta of 0.6 and the front month SPX straddle has a vega of 8.5. Using these approximations, the VX future will underhedge the SPX straddle, since (0.6 * 1000) < (8.5 * 100). The position will have about 2.5 ($250) vega. Use the R^2 (coefficient of determination) to check how well the model fits the relationship between VX and VIX. The further from one this value, the less useful the model.
(Note that the mini, VXM futures also have a 100 point multiplier).
rv_iv_vrpThis script provides realized volatility (rv), implied volatility (iv), and volatility risk premium (vrp) information for each of CBOE's volatility indices. The individual outputs are:
- Blue/red line: the realized volatility. This is an annualized, 20-period moving average estimate of realized volatility--in other words, the variability in the instrument's actual returns. The line is blue when realized volatility is below implied volatility, red otherwise.
- Fuchsia line (opaque): the median of realized volatility. The median is based on all data between the "start" and "end" dates.
- Gray line (transparent): the implied volatility (iv). According to CBOE's volatility methodology, this is similar to a weighted average of out-of-the-money ivs for options with approximately 30 calendar days to expiration. Notice that we compare rv20 to iv30 because there are about twenty trading periods in thirty calendar days.
- Fuchsia line (transparent): the median of implied volatility.
- Lightly shaded gray background: the background between "start" and "end" is shaded a very light gray.
- Table: the table shows the current, percentile, and median values for iv, rv, and vrp. Percentile means the value is greater than "N" percent of all values for that measure.
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Volatility risk premium (vrp) is simply the difference between implied and realized volatility. Along with implied and realized volatility, traders interpret this measure in various ways. Some prefer to be buying options when there volatility, implied or realized, reaches absolute levels, or low risk premium, whereas others have the opposite opinion. However, all volatility traders like to look at these measures in relation to their past values, which this script assists with.
By the way, this script is similar to my "vol premia," which provides the vrp data for all of these instruments on one page. However, this script loads faster and lets you see historical data. I recommend viewing the indicator and the corresponding instrument at the same time, to see how volatility reacts to changes in the underlying price.
Commitment of Traders ~ INDEXESMy intention was to create 1 script for the Commitment of Traders report but I wasn't not aware there is a limit on how many instrument calls can be made in PineScript so I had no choice but to divide the script into instrument categories. So far I have created 4 of them: Forex, Metals/ Commodities, Treasuries & Indexes which is the one presented here. If you are interested in the other ones, feel free to do a search.
Available Instruments: Mini S&P, VIX, Mini NASDAQ, Mini RUSSELL, EAFE Index (Global Developed Markets & EMRG Index (Global Emerging Markets)
The script calculates and plots the ZScore of both Net Long (Money Managers / Asset Managers) and Net Long (Dealers / Swap). In some instrument categories you will also see Open Interest. It depends on whether I was maxed out or not on making security calls.
If you are not familiar with ZScore, it basically calculates the distance of price from a mean average in units of Standard Deviation. In theory when price reaches +2 it signifies overbought while if it reaches -2 is oversold. However just because it's hitting an extreme in one particular average doesn't necessarily mean it will reverse as the position of price in relation with the next longer average might not be so out of range.
Must be attached to weekly chart.
If you have any questions/suggestions, feel free to add them in the comments below
Option Expirations - Equities, Indexes, VIX OPEX VIXperationShows monthly and quarterly expirations for Equities, Indexes, & VIX. OPEX, VIXEX, Vixperation.
vol_premiaThis script shows the volatility risk premium for several instruments. The premium is simply "IV30 - RV20". Although Tradingview doesn't provide options prices, CBOE publishes 30-day implied volatilities for many instruments (most of which are VIX variations). CBOE calculates these in a standard way, weighting at- and out-of-the-money IVs for options that expire in 30 days, on average. For realized volatility, I used the standard deviation of log returns. Since there are twenty trading periods in 30 calendar days, IV30 can be compared to RV20. The "premium" is the difference, which reflects market participants' expectation for how much upcoming volatility will over- or under-shoot recent volatility.
The script loads pretty slow since there are lots of symbols, so feel free to delete the ones you don't care about. Hopefully the code is straightforward enough. I won't list the meaning of every symbols here, since I might change them later, but you can type them into tradingview for data, and read about their volatility index on CBOE's website. Some of the more well-known ones are:
ES: S&P futures, which I prefer to the SPX index). Its implied volatility is VIX.
USO: the oil ETF representing WTI future prices. Its IV is OVX.
GDX: the gold miner's ETF, which is usually more volatile than gold. Its IV is VXGDX.
FXI: a china ETF, whose volatility is VXFXI.
And so on. In addition to the premium, the "percentile" column shows where this premium ranks among the previous 252 trading days. 100 = the highest premium, 0 = the lowest premium.
BitMEX BTC Volatility IndexThis indicator displays the BitMEX BTC Volatility Index ( BVOL24H ) as an indicator and it can be compared to the VIX of the cryptocurrencies.
more information about how BVOL24H is calculated can be found here: www.bitmex.com
Symbol can be changed in the parameters
vx_termsUSAGE
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This script helps train your intuition for changes in the VX term structure. I recommend using it on the VIX chart, so you can compare changes in the terms to changes in VIX. It's also nice for calendar spread traders who want to get a feel for the same changes.
1. Select a day, month, and year using the inputs
2. Observe the data table.
3. Open the input again and increment or decrement the day (and month, year as necessary).
4. Click "Ok".
5. Click to deselect the indicator, which allows the chart to load new data.
6. The data table will be reloaded with the next/previous day's data.
The data table has the following columns:
- contract: the VX contracts, in sequence. refer to the CBOE for month codes (F for January, etc.)
- close: the closing price of the contract.
- ma:mb: the spread (difference) between this row and the next row.
- ma:mb chg: the spread's change from prior close.
For example, given the following values for the first two columns:
VXQ2021, 16.5, -3.1, -0.2
VXU2021, 19.6, ..., ...
The front month (Q = august) closed at 16.5, $3.1 below the s\September contract. The negative spread enlarged by $0.20 from $2.90 on the previous trading day.
BUGS, ODDITIES, AND LIMITATIONS:
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- The first column will be greyed out after expiration day, which is the 3rd Tuesday of that month. Unfortunately, I can't load the next month's contract due to some limitations with TV.
- The active date is highlighted with a yellow background. When a non-trading date is selected, the highlight will disappear. However, the data table will sometimes fill with the nearest trading date, prematurely. No worries, just know that the data is probably for the previous Friday.
- The script is clunky and slow, but this is the best I can do with TV. Hopefully they add more continuous contracts or allow true dynamic symbol loading.
SPECIAL THANKS:
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Thanks to HeWhoMustNotBeNamed for helping me get through some messiness. Very helpful guy.
www.tradingview.com
VIX Contango 1VIX Contango 1 = 100* (VX2! - VX1!)/VX1!
Show when is VIX in contango or in backwardation. I compare the first two contracts.
QuantAnna: Nifty VIX CorrelationNSE:NIFTY
Simple correlation indicator which oscillates around zero
Shows default correlation with NSE:IndiaVix
You can use it to check correlation with any other trading symbol or indices by simply selecting it in the settings.
vix_roll_yieldShows the roll yield of the VX futures, which is the ratio of a continuously weighted average of the front two months to the VIX. The VX (VIX futures) contract expires on the third Tuesday of each month. On the next trading day, the front month will have full weighting, and the second month will have no weight. On the expiration day, the back month will have full weighting and the front month will have no weight. In between, the weight gradually shifts.
This weighted average is similar to the SPVIXSTR index that UVXY and several other funds track. When the average is below the VIX, the indicator is negative, and the front month contract will tend to gain value relatively more rapidly than the back month as it converges upward to the VIX spot price. Because funds whose NAV is tied up in VX contracts continuously roll from the (typically cheaper) front month to the back, in situations where the front month is more expensive than usual--or even more expensive than the back month--these products may have a "tailwind". In this case, they are selling expensive front month contracts to purchase cheap back month contracts.
Ordinarily, VIX funds have a "headwind." The roll yield is positive, the front month is cheap, and the back month is expensive. Day by day the funds sell cheap front month contracts and buy expensive back month contracts, which, in turn and over time, become the front month and converge with the VIX, losing value rapidly. This is a brief explanation about the decay of these products.
VIX Fix Double PleasureFULL README: github.com/samgozman/vix-fix-double-pleasure
The idea of an oscillator is quite simple. It is based on the popular VIX Fix oscillator, the purpose of which is to find local bottoms within the scope of trend movement. But in addition to the classic VIX fix, I built an oscillator opposite to it, which serves as a potential signal of the end of local growth.
Components
VIX Fix classic (red lines)
VIX Fix reversed (green lines)
Buy/sell signals (colored dots)
Parameters
VIXFix_length - defval: 22. Classic length for VIX fix
VIXFix_arraySize - defval: 22. The number of periods among which to look for lows and highs. If there are too many signals, reduce this value.
plotMarks - defval: true. Plot high/low marks
How it is calculated
VIX fix classic: (highest(close, VIXFix_length) - low) / highest(close, VIXFix_length) * -100
VIX fix reversed: (lowest(close, VIXFix_length) - high) / lowest(close, VIXFix_length) * -100
Signals
🟢 Buy signal if current "VIX fix classic" or "VIX Fix reversed" value is lowest from the last VIXFix_arraySize periods.
🔴 Sell signal if current "VIX fix classic" or "VIX Fix reversed" value is highest from the last VIXFix_arraySize periods.
General recommendations
I advise you not to use this oscillator for a short positions. Long only . It is recommended to set a long position by pyramiding.
Vix Jump for Selling Puts or Buying CallsThis script aims to identify optimal times when to write Puts for premium, for example using the SPX Weeklies model or simply buying Calls. Not perfect but provides some additional confidence when playing Puts on SPX or the Wheel on SPY.
What it does:
We compare current VIX with a lookback VIX for X% delta. If there is a jump of say 20% over a defined period then that would indicate an opportunity to sell Puts, run a straddle or buy Calls. We use VVIX as a check to stop to many false positives ie VVIX falls of faster than VIX.
You can also use this loosely as a bottom finder.
The dispersion of volatility indicesThe script is my implementation of "Forecasting a Volatility Tsunami" by Andrew Thrasher (Thrasher Analytics). You can find the paper here: www.researchgate.net
I've changed a bit the approach - instead of two volatility indices (VIX & VVIX), I used two more: VXN and VXD. Additionally, I average the percentiles, but there is an option to swtich it to the original approach.
Correlation overlayThe script is intended to indicate when the correlation between VIX and VVIX gets below 0, on the selecteted security chart. It makes sense to plot it on indicies. This aims to present how the chart of a security looked like when the divergance between VIX and VVIX happened.
VIX Near-Term Futures CurveThis indicator provides a 3 day smoothed histogram expressing whether the near term VIX futures curve is in a state of contango or backwardation. The solid red/green bars express the spot vs front-month vs next month curve with the value being the cumulative point spread between them. The shaded overlay bars express the spread between the VIX spot index and front-month futures contract only.
This indicator is to be used on a 1 DAY interval or higher.
MOVE/VXTLT CorrelationMany know of the VIX for equity trading. Yet, many are unaware that there is the same kind of volatility measure for trading bonds, called the MOVE Index.
"The Merrill Lynch Option Volatility Estimate (MOVE) Index is a yield curve weighted index of the normalized implied volatility on 1-month Treasury options which are weighted on the 2, 5, 10, and 30 year contracts."
With this script one can see the the correlation and divergences between bonds and its volatility measure to make educated decisions in trading or hedging.
The idea of this script comes from NicTheMajestic.
VIX Implied Move Bands for ES/Emini futuresThis script uses the close of the VIX on a daily resolution to provide the 'implied move' for the E-mini SP500 futures. While it can be applied to any equity index, it's crucial to know that the VIX is calculated using SPX options, and may not reflect the implied volatility of other indices. The user can adjust the length of the moving average used to calculate the bands, the window of days used to calculate the implied move, and the multiplier that effects the width of the bands.
Vix SpikeThis script calculates spikes Vix tops and bottoms. The Vix Market Bottom is calculated using CM_Williams_Vix_Fix Finds Market Bottoms (Chris Moody). The Vix Market Top is calculated as the inverse of CM Williams’ formula.
The highest Vix Bottom and the highest Vix Top are averaged (over the Highest Vix Lookback period).
Buys are signaled when the Vix Bottom line crosses below the Highest Vix Average.
Sells are signaled when the Vix Top line crosses below Highest Vix Average.
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