[blackcat] L1 Visual Volatility IndicatorHey there! Let's get into the details about dynamic rate indicators, how they work, their importance, usage, and benefits in trading.
Dynamic rate indicators are essential in trading as they help traders assess the volatility and risk level of the market, so they can make the right trading strategies and risk management measures.
When it comes to the importance of dynamic rate indicators, they provide critical information about market volatility, which is super important for traders. Traders can use this information to understand the risk level of the market, determine market stability and instability, and adjust trading strategies based on volatility changes.
Now let's talk about the usage of dynamic rate indicators. They have different usage times for different trading strategies and market environments. Generally, when market volatility is low, traders can take advantage of the opportunity to do trend tracking or oscillating trades. When market volatility is high, traders can take a more conservative approach, such as using stop-loss orders or reducing position sizes.
Using dynamic rate indicators can bring several benefits. First, they can help traders evaluate the risk level of the market, so they can develop suitable risk management strategies. Traders can adjust stop-loss and take-profit levels based on changes in volatility to control risk. Second, dynamic rate indicators provide information about market trends and price fluctuations, helping traders make wiser trading decisions. Traders can determine entry and exit points based on the signals of dynamic rate indicators. Lastly, dynamic rate indicators play a significant role in option pricing. Implied volatility helps traders evaluate option prices and market expectations for future volatility, so they can carry out option trades or hedging operations.
In conclusion, dynamic rate indicators are essential for traders as they help assess market volatility and risk levels, develop suitable trading strategies and risk management measures, and increase trading success and profitability. Remember that different indicators are suitable for different types of markets, so it is essential to choose the right one for your specific trading needs.
This indicator is a powerful tool for traders who want to stay ahead of the market and make informed trading decisions. By analyzing trends in volatility, this indicator can provide valuable insights into market sentiment and help traders identify potential trading opportunities.
One of the key advantages of the L1 Visual Volatility Indicator is its ability to adapt to changing market conditions. The channel structure it constructs based on ATR characteristics provides a framework for tracking volatility that can be adjusted to different timeframes and asset classes. This allows traders to customize the indicator to their specific needs and trading style, making it a versatile tool for a wide range of trading strategies.
Another advantage of this indicator is its use of gradient colors to differentiate between Bullish and Bearish volatility. This provides a visual representation of market sentiment that can help traders quickly identify potential trading opportunities and make informed decisions. Additionally, the use of Fibonacci's long-term moving average to define the sideways consolidation area provides a reliable framework for identifying key levels of support and resistance, further enhancing the indicator's usefulness in trading.
In conclusion, the L1 Visual Volatility Indicator is a powerful tool for traders looking to stay ahead of the market and make informed trading decisions. Its ability to adapt to changing market conditions and use of gradient colors to differentiate between Bullish and Bearish volatility make it a versatile and effective tool for a wide range of trading strategies. By incorporating this indicator into their trading arsenal, traders can gain valuable insights into market sentiment and improve their chances of success in the markets.
在腳本中搜尋"Implied volatility"
SPX Expected MoveThis indicator plots the "expected move" of SPX for today's trading session. Expected move is the amount that SPX is predicted to increase or decrease from its current price, based on the current level of implied volatility. The implied volatility in this indicator is computed from the current value of the VIX (or one of several volatility symbols available on Trading view). The computation is done using standard formula. The resulting plots are labeled as 1 and 2 standard deviations. The default values are to use VIX as well as 252 trading days in the years.
Use the square root of (days to expiration, or in this case a fraction of the day remaining) divided but the square root of (252, or number of trading days in a year).
timeRemaining = math.sqrt(DTE) / math.sqrt(252)
Standard deviation move = SPX bar closing price * (VIX/100) * timeRemaining
4C Expected Move (Weekly Options)This indicator plots the Expected Move (EM) calculated from weekly options pricing, for a quick visual reference.
The EM is the amount that a stock is predicted to increase or decrease from its current price, based on the current level of implied volatility.
This range can be viewed as support and resistance, or once price gets outside of the range, institutional hedging actions can accelerate the move in that direction.
The EM range is based on the Weekly close of the prior week.
It can be useful to know what the weekly EM range is for a stock to understand the probabilities of the overall distance, direction and volatility for the week.
To use this indicator you must have access to a broker with options data (not available on Tradingview).
Look at the stock's option chain and find the weekly expected move. You will have to do your own research to find where this information is displayed depending on your broker.
See screenshot example on the chart. This is the Thinkorswim platform's option chain, and the Implied Volatility % and the calculated EM is circled in red. Use the +- number in parentheses, NOT the % value.
Input that number into the indicator on a weekly basis, ideally on the weekend sometime after the cash market close on Friday, and before the Market open at the beginning of the trading week.
The indicator must be manually updated each week.
It will automatically start over at the beginning of the week.
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).
Volatility SkewThis indicator measure the historical skew of actual volatility for an individual security. It measure the volatility of up moves versus down moves over the period and gives a ratio. When the indicator is greater than one, it indicators that volatility is greater to the upside, when it is below 1 it indicates that volatility is skewed to the downside.
This is not comparable to the SKEW index, since that measures the implied volatility across option strikes, rather than using historical volatility.
(JS)S&P 500 Volatility Oscillator For Options 2.0I am going to start taking requests to open source my indicators and they will also be updated to Version 4 of Pinescript.
I added some features to the original code such the ability to smooth the oscillator and select the look back periods for the historical volatility.
Link to original:
Original post:
"The idea for this started here: www.tradingview.com with the user @dime
This should only be used on SPX or SPY (though you could use it on other things for correlation I suppose) given that the instrument used to create this calculation is derived from the S&P 500 (thank you VIX ). There's a lot of moving parts here though, so allow me to explain...
First: The main signal is when Implied Volatility (from VIX ) drops beneath Historical Volatility - which is what you want to see so you aren't purchasing a ton of premium on long options. Green and above 0 means that IV% has dropped lower than Historical Volatility . (this signal, for example, would suggest using a Long Call or Put depending on your sentiment)
Second: The green line running underneath zero is the bottom portion of the "Average True Range" derived from the values used to create the oscillator. the closer the bottom histogram is to the green line, the more "normal" IV% is. Obviously, if this gets far away from the line then it could be setting up nicely to short options and sell the IV premium to someone else. (this signal, for example, would suggest using something like a Bull Put Spread)
Third: The red background along with the white line that drops down below zero signals when (and how far) the IV% from 3 months out (from VIX3M ) is less than the current IV%. This would signal the current environment has IV way too high, a signal to short options once again (and don't take any long option positions!).
Tried to make this simple, yet effective. If you trade options on SPX , SPY , even ES1! futures - this is a tool tailored specifically for you! As I said before, if you want you can use it for correlation on other securities. Any other ideas or suggestions surrounding this, please let me know! Enjoy!
Feb 17, 2019
Release Notes: Cosmetic update for a much cleaner look:
-Replaced the "HIGH IV" with a simlple "H"
-Now the white line is constantly showing you the relationship between VIX and VIX3M - when VIX is greater than VIX3M the background still goes red
-However, now when VIX drops below Historical Volatility, the background is bright green
-When both above are true - it's dark green
-The Average True Range on the bottom is now a series of crosses"
Compare Crypto Bollinger Bands//This is not financial advice, I am not a financial advisor.
//What are volatility tokens?
//Volatility tokens are ERC-20 tokens that aim to track the implied volatility of crypto markets.
//Volatility tokens get their exposure to an asset’s implied volatility using FTX MOVE contracts.
//There are currently two volatility tokens: BVOL and IBVOL.
//BVOL targets tracking the daily returns of being 1x long the implied volatility of BTC
//IBVOL targets tracking the daily returns of being 1x short the implied volatility of BTC.
/////////////////////////////////////////////////////////////////
CAN USE ON ANY CRYPTO CHART AS BINANCE:BTCUSD is still the most dominant crypto, positive volatility for BTC is positive for all.
/////////////////////////////////////////////////////////////////
//The Code.
//The blue line (ChartLine) is the current chart plotted on in Bollinger
//The red line (BVOLLine) plots the implied volatility of BTC
//The green line (IBVOLLine) plot the inverse implied volatility of BTC
//The orange line (TOTALLine) plots how well the crypto market is performing on the Bolling scale. The higher the number the better.
//There are 2 horizontal lines, 0.40 at the bottom & 0.60 at the top
/////////To Buy
//1. The blue line (ChartLine) must be higher than the green line (IBVOLLine)
//2. The green line (IBVOLLine) must be higher than the red line (BVOLLine)
//3. The red line (BVOLLine) must be less than 0.40 // This also acts as a trendsetter
//4. The orange line (TOTALLine) MUST be greater than the red line. This means that the crypto market is positive.
//5.IF THE BLUE LINE (ChartLine) IS GREATER THAN THE ORANGE LINE (TOTALLine) IT MEANS YOUR CRYPTO IS OUTPERFOMING THE MARKET {good for short term explosive bars}
//6. If the orange line (TOTALLine) is higher than your current chart, say BTCUSD. And BTC is going up to. It just means BTC is going up slowly. it's fine as long as they are moving in the same position.
//5. I use this on the 4hr, 1D, 1W timeframes
///////To Exit
//1.If the blue line (ChartLine) crosses under the green line (IBVOLLine) exit{ works best on 4hr,1D, 1W to avoid fakes}
//2.If the red line crosses over the green line when long. {close positions, or watch positions} It means negative volatility is wining
Boyle Trinomial Options Pricing Model [Loxx]Boyle Trinomial Options Pricing Model is an options pricing indicator that builds an N-order trinomial tree to price American and European options. This is different form the Binomial model in that the Binomial assumes prices can only go up and down wheres the Trinomial model assumes prices can go up, down, or sideways (shoutout to the "crab" market enjoyers). This method also allows for dividend adjustment.
The Trinomial Tree via VinegarHill Finance Labs
A two-jump process for the asset price over each discrete time step was developed in the binomial lattice. Boyle expanded this frame of reference and explored the feasibility of option valuation by allowing for an extra jump in the stochastic process. In keeping with Black Scholes, Boyle examined an asset (S) with a lognormal distribution of returns. Over a small time interval, this distribution can be approximated by a three-point jump process in such a way that the expected return on the asset is the riskless rate, and the variance of the discrete distribution is equal to the variance of the corresponding lognormal distribution. The three point jump process was introduced by Phelim Boyle (1986) as a trinomial tree to price options and the effect has been momentous in the finance literature. Perhaps shamrock mythology or the well-known ballad associated with Brendan Behan inspired the Boyle insight to include a third jump in lattice valuation. His trinomial paper has spawned a huge amount of ground breaking research. In the trinomial model, the asset price S is assumed to jump uS or mS or dS after one time period (dt = T/n), where u > m > d. Joshi (2008) point out that the trinomial model is characterized by the following five parameters: (1) the probability of an up move pu, (2) the probability of an down move pd, (3) the multiplier on the stock price for an up move u, (4) the multiplier on the stock price for a middle move m, (5) the multiplier on the stock price for a down move d. A recombining tree is computationally more efficient so we require:
ud = m*m
M = exp (r∆t),
V = exp (σ 2∆t),
dt or ∆t = T/N
where where N is the total number of steps of a trinomial tree. For a tree to be risk-neutral, the mean and variance across each time steps must be asymptotically correct. Boyle (1986) chose the parameters to be:
m = 1, u = exp(λσ√ ∆t), d = 1/u
pu =( md − M(m + d) + (M^2)*V )/ (u − d)(u − m) ,
pd =( um − M(u + m) + (M^2)*V )/ (u − d)(m − d)
Boyle suggested that the choice of value for λ should exceed 1 and the best results were obtained when λ is approximately 1.20. One approach to constructing trinomial trees is to develop two steps of a binomial in combination as a single step of a trinomial tree. This can be engineered with many binomials CRR(1979), JR(1979) and Tian (1993) where the volatility is constant.
Further reading:
A Lattice Framework for Option Pricing with Two State
Trinomial tree via wikipedia
Inputs
Spot price: select from 33 different types of price inputs
Calculation Steps: how many iterations to be used in the Trinomial model. In practice, this number would be anywhere from 5000 to 15000, for our purposes here, this is limited to 220.
Strike Price: the strike price of the option you're wishing to model
Market Price: this is the market price of the option; choose, last, bid, or ask to see different results
Historical Volatility Period: the input period for historical volatility ; historical volatility isn't used in the Trinomial model, this is to serve as a comparison, even though historical volatility is from price movement of the underlying asset where as implied volatility is the volatility of the option
Historical Volatility Type: choose from various types of implied volatility , search my indicators for details on each of these
Option Base Currency: this is to calculate the risk-free rate, this is used if you wish to automatically calculate the risk-free rate instead of using the manual input. this uses the 10 year bold yield of the corresponding country
% Manual Risk-free Rate: here you can manually enter the risk-free rate
Use manual input for Risk-free Rate? : choose manual or automatic for risk-free rate
% Manual Yearly Dividend Yield: here you can manually enter the yearly dividend yield
Adjust for Dividends?: choose if you even want to use use dividends
Automatically Calculate Yearly Dividend Yield? choose if you want to use automatic vs manual dividend yield calculation
Time Now Type: choose how you want to calculate time right now, see the tool tip
Days in Year: choose how many days in the year, 365 for all days, 252 for trading days, etc
Hours Per Day: how many hours per day? 24, 8 working hours, or 6.5 trading hours
Expiry date settings: here you can specify the exact time the option expires
Included
Option pricing panel
Loxx's Expanded Source Types
Related indicators
Implied Volatility Estimator using Black Scholes
Cox-Ross-Rubinstein Binomial Tree Options Pricing Model
Multiple Rate Of ChangeConvergence of Multiple period Rates of Change near the Zero line shows contraction in volatility.
Soon we can expect expansion in volatility.
Ideal strategy would be to buy ATM Straddles when different period ROCs converge near Zero line.
(Also check implied volatility of options before going for this strategy)
True Range/Expected MoveThis indicator plots the ratio of True Range/Expected Move of SPX. True Range is simple the high-low range of any period. Expected move is the amount that SPX is predicted to increase or decrease from its current price based on the current level of implied volatility. There are several choices of volatility indexes to choose from. The shift in color from red to green is set by default to 1 but can be adjusted in the settings.
Red bars indicate the true range was below the expected move and green bars indicate it was above. Because markets tend to overprice volatility it is expected that there would be more red bars than green. If you sell SPX or SPY option premium red days tend to be successful while green days tend to get stopped out. On a 1D chart it is interesting to look at the clusters of bar colors.
IV/HV ratio 1.0 [dime]This script compares the implied volatility to the historic volatility as a ratio.
The plot indicates how high the current implied volatility for the next 30 days is relative to the actual volatility realized over the set period. This is most useful for options traders as it may show when the premiums paid on options are over valued relative to the historic risk.
The default is set to one year (252 bars) however any number of bars can be set for the lookback period for HV.
The default is set to VIX for the IV on SPX or SPY but other CBOE implied volatility indexes may be used. For /CL you have OVX/HV and for /GC you have GVX/HV.
Note that the CBOE data for these indexes may be delayed and updated EOD
and may not be suitable for intraday information. (Future versions of this script may be developed to provide a realtime intraday study. )
There is a list of many volatility indexes from CBOE listed at:
www.cboe.com
(Some may not yet be available on Tradingview)
RVX Russell 2000
VXN NASDAQ
VXO S&P 100
VXD DJIA
GVX Gold
OVX OIL
VIX3M 3-Month
VIX6M S&P 500 6-Month
VIX1Y 1-Year
VXEFA Cboe EFA ETF
VXEEM Cboe Emerging Markets ETF
VXFXI Cboe China ETF
VXEWZ Cboe Brazil ETF
VXSLV Cboe Silver ETF
VXGDX Cboe Gold Miners ETF
VXXLE Cboe Energy Sector ETF
EUVIX FX Euro
JYVIX FX Yen
BPVIX FX British Pound
EVZ Cboe EuroCurrency ETF Volatility Index
Amazon VXAZN
Apple VXAPL
Goldman Sachs VXGS
Google VXGOG
IBM VXIBM
VIX HeatmapVIX HeatMap
Instructions:
- To be used with the S&P500 index (ES, SPX, SPY, any S&P ETF) as that's the input from where the CBOE calculates and measures the VIX. Can also be used with the Dow Jones, Nasdaq, & Nasdaq100.
Description:
- Expected Implied Volatility regime simplified & visualized. Know if we are in a high, medium, or low volatility regime, instantly.
- Ranges from Hot to Cold: The hotter the heat-map, the higher the implied volatility and fear & vice versa.
- The VIX HeatMap, color-maps important VIX levels (7 in this case) in measuring volatility for day trading & swing trading.
Using the VIX HeatMap:
- A LOW level volatility environment: Represented by "cooler" colors (Blue & White) depicts that the level of volatility and fear is low. Percentage moves on the index level are going to be tame and less volatile more often than not. Low fear = low perceived risk.
- A MEDIUM level volatility environment: Represented by "warmer" colors (Green & Yellow) depicts that the markets are transitioning from a calmer period or from a more fearful period. Market volatility here will be higher and provide more volatile swings in price.
- A HIGH level volatility environment: Represented by "hotter" colors (Orange, Red, & Purple) depicts that the markets are very fearful at the moment and will have big swings in both directions. Historically, extreme VIX levels tend to coincide with bottoms but are in no way predictive of the exact timing as the volatile moves can continue for an extended period of time.
- Transitioning between the 7 VIX Zones: Each and every one of these specific VIX zone levels is important.
1. Extreme low: <16
2. Low: 16 to 20
3. Normal: 20 to 24
4. Medium: 24 to 28
5. Med-High: 28 to 32
6. High: 32 to 36
7. Extreme high: >36
- These VIX levels in particular measure volatility changes that have a major impact on switching between smaller time frames and measuring depths of a sell move and vice versa. Each level also behaves as its own support & resistance level in terms of taking a bit of effort to switch regimes, and aids in identifying and measuring the potential depth of pullbacks in bull markets and bounces in bear markets to reveal reversal points.
- Examples of VIX level supports depicted on the chart marked with arrows. From left to right:
1. March 10th: Markets jumped 2 volatility levels in 2 days. The fluctuations from blue to yellow to green where a sign that price action would reverse from the selloff.
2. March 28th: As soon as we move from green to the blue VIX level (<20), markets began to rally and only ended when the volatility level moved sub VIX 16 (white).
3. May 4th & 24th: Next we see the 2 dips where volatility levels went from blue to green (VIX > 20), marked bottoms and reversed higher.
4. June 1st: We see a change in VIX regime yet again into lower VIX level and markets rocket higher.
Knowing the current VIX regime is a very important tool and aid in trading, now easily visualized.
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.
Implied minus Historical VolatilityJust a simple comparison of 30 day historical volatility versus 30 day implied volatility(VIX). In general, when VIX is way above realized or historical Vol, in general that is quite bullish. Backtest will be available soon.
IV/HV Ratio's [Nic]IV is implied volatility
HV is historic realized volatility
Seneca teaches that we often suffer more in our minds than in reality, and the same is true with the stock market. This indicator can help identify when people are over paying for implied volatility relative to real volatility . This means that short sellers are over paying for puts and can be squeezed into covering their positions, resulting in a massive rally.
The indicator can track this spread over many time frames, when the short time frame is much higher than the lower time frames, consider it a signal-of-interest.
IV Rank/Percentile with Williams VIX FixDisplay IV Rank / IV Percentile
This indicator is based on William's VixFix, which replicates the VIX—a measure of the implied volatility of the S&P 500 Index (SPX). The key advantage of the VixFix is that it can be applied to any security, not just the SPX.
IV Rank is calculated by identifying the highest and lowest implied volatility (IV) values over a selected number of past periods. It then determines where the current IV lies as a percentage between these two extremes. For example, if over the past five periods the highest IV was 30%, the lowest was 10%, and the current IV is 20%, the IV Rank would be 50%, since 20% is halfway between 10% and 30%.
IV Percentile, on the other hand, considers all past IV values—not just the highest and lowest—and calculates the percentage of these values that are below the current IV. For instance, if the past five IV values were 30%, 10%, 11%, 15%, and 17%, and the current IV is 20%, the IV Rank remains at 50%. However, the IV Percentile is 80% because 4 out of the 5 past values (80%) are below the current IV of 20%.
Black Scholes Model [racer8]This is the Black Scholes Model. This indicator tells you the prices of both a call option & a put option.
Input variables are spot price, strike price, risk free rate %, days to maturity, and implied volatility %.
This indicator was made generally for educational purposes.
By using this indicator, you will develop a better understanding of how options are priced.
This indicator was made to be as simple as possible so that the user can easily understand it.
I recreated the Black Scholes Model because there is very little scripts on TV that are based on the Black Scholes Model.
I am aware that are Black Scholes Model (BSM) scripts already on TV, but mine is not the same. Correct me if I'm wrong, but I don't think there is a BSM script out there yet that relies on the exact same inputs that mine does.
Why use this indicator?
If you don't already have your own IV indicator...
You can use this indicator to approximate the value of implied volatility %.
You already know every input variable except IV%, and you know the call & put option prices.
So put in the numbers for each input and put a random number between 0 to 100 into the IV% input to get the options prices.
Adjust that random number for IV% until the output (options prices) matches correctly with what you already know they are to be.
This is called the trial and error method.
On the other hand, if you already know all input variables including IV%. Then you can use this indicator to find the call & put options prices directly.
Hope this helps. Enjoy 🙂
CSP Key Level Finder This script is designed for option sellers, particularly those using strategies like cash-secured puts (CSPs), to help automate the process of identifying key levels in the market. The core functionality is to calculate a specific price level where a 5% return can be achieved based on the historical volatility of the underlying asset. This level is visually plotted on a chart to guide traders in making more informed decisions without manually calculating the thresholds themselves.
The script incorporates implied volatility (IV) data to determine the volatility rank of the asset and calculates historical volatility (HV) based on price movements. These volatility measures help assess market conditions. The resulting key level is drawn as a line on the chart, along with a label that includes relevant information about volatility, making it easier for traders to evaluate potential option selling strategies.
Additionally, the script includes user input options, allowing users to control when to display the key level on the chart, offering flexibility based on individual needs. Overall, the script provides a visual aid for option sellers to streamline the process of identifying attractive entry points.
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.
Normal Distribution CurveThis Normal Distribution Curve is designed to overlay a simple normal distribution curve on top of any TradingView indicator. This curve represents a probability distribution for a given dataset and can be used to gain insights into the likelihood of various data levels occurring within a specified range, providing traders and investors with a clear visualization of the distribution of values within a specific dataset. With the only inputs being the variable source and plot colour, I think this is by far the simplest and most intuitive iteration of any statistical analysis based indicator I've seen here!
Traders can quickly assess how data clusters around the mean in a bell curve and easily see the percentile frequency of the data; or perhaps with both and upper and lower peaks identify likely periods of upcoming volatility or mean reversion. Facilitating the identification of outliers was my main purpose when creating this tool, I believed fixed values for upper/lower bounds within most indicators are too static and do not dynamically fit the vastly different movements of all assets and timeframes - and being able to easily understand the spread of information simplifies the process of identifying key regions to take action.
The curve's tails, representing the extreme percentiles, can help identify outliers and potential areas of price reversal or trend acceleration. For example using the RSI which typically has static levels of 70 and 30, which will be breached considerably more on a less liquid or more volatile asset and therefore reduce the actionable effectiveness of the indicator, likewise for an asset with little to no directional volatility failing to ever reach this overbought/oversold areas. It makes considerably more sense to look for the top/bottom 5% or 10% levels of outlying data which are automatically calculated with this indicator, and may be a noticeable distance from the 70 and 30 values, as regions to be observing for your investing.
This normal distribution curve employs percentile linear interpolation to calculate the distribution. This interpolation technique considers the nearest data points and calculates the price values between them. This process ensures a smooth curve that accurately represents the probability distribution, even for percentiles not directly present in the original dataset; and applicable to any asset regardless of timeframe. The lookback period is set to a value of 5000 which should ensure ample data is taken into calculation and consideration without surpassing any TradingView constraints and limitations, for datasets smaller than this the indicator will adjust the length to just include all data. The labels providing the percentile and average levels can also be removed in the style tab if preferred.
Additionally, as an unplanned benefit is its applicability to the underlying price data as well as any derived indicators. Turning it into something comparable to a volume profile indicator but based on the time an assets price was within a specific range as opposed to the volume. This can therefore be used as a tool for identifying potential support and resistance zones, as well as areas that mark market inefficiencies as price rapidly accelerated through. This may then give a cleaner outlook as it eliminates the potential drawbacks of volume based profiles that maybe don't collate all exchange data or are misrepresented due to large unforeseen increases/decreases underlying capital inflows/outflows.
Thanks to @ALifeToMake, @Bjorgum, vgladkov on stackoverflow (and possibly some chatGPT!) for all the assistance in bringing this indicator to life. I really hope every user can find some use from this and help bring a unique and data driven perspective to their decision making. And make sure to please share any original implementaions of this tool too! If you've managed to apply this to the average price change once you've entered your position to better manage your trade management, or maybe overlaying on an implied volatility indicator to identify potential options arbitrage opportunities; let me know! And of course if anyone has any issues, questions, queries or requests please feel free to reach out! Thanks and enjoy.
VIX MTF MomentumSweet little momentum gadget to track the VIX Index.
What is the VIX?
The CBOE S&P 500 Volatility Index (VIX) is known as the 'Fear Index' which can measure how worried traders are that the S&P 500 might suddenly drop within the next 30 days.
When the VIX starts moving higher, it is telling you that traders are getting nervous. When the VIX starts moving lower, it is telling you that traders are gaining confidence.
VIX calculation?
The Chicago Board of Options Exchange Market Volatility Index (VIX) is a measure of implied volatility (Of the S&P 500 securities options), based on the prices of a basket of S&P 500 Index options with 30 days to expiration.
How to use:
If VIX Momentum is above 0 (RED) traders are getting nervous.
If VIX Momentum is below 0 (GREEN) traders are gaining confidence.
Follow to get updates and new scripts: www.tradingview.com
Risk RangeThis indicator creates risk ranges using implied volatility (VIX) or historical volatility, skewness ( Cboe SKEW or estimate ) and kurtosis.
Realized Variables for Options ComparisonThese variables can be used in comparison with the implied volatility of options.
Variables:
Realized Volatility
mathematical notation lowercase 'sigma'
Realized Variance
mathematical notation lowercase 'sigma' squared
Realized Beta
mathematical notation lowercase 'beta'
Timeframes:
Yearly = 250 or 365
Quarterly = 50 or 90
Monthly = 20 or 30
Important Note:
Options Contract Expiry = barmerge.lookahead_on
"Merge strategy for the requested data position. Requested barset is merged with current barset in the order of sorting bars by their opening time. This merge strategy can lead to undesirable effect of getting data from "future" on calculation on history. This is unacceptable in backtesting strategies, but can be useful in indicators."
[ All other timeframes barmerge.lookahead is disabled.
