Relative Historical Volatility MCMRelative Historical Volatility
Historical Volatility is relative to it's doubled lookback period of the historical volatility to calculate relative historical volatility.
Including a standard deviation to calculate the volatility value itself is useless. It filters out 32% of the most volatile movements of the asset that you are observing.
Example of RHV:
Period of Volatility Value (POVV) : 10
Relative Historical Volatility : POVV / POVV*2
Historical Volatility of past 10 Bars is compared to the historical volatility of the bast 20 bars to show real growth/decrease of volatility relative to the time of the performing asset.
Comparing historical volatility to the current bar includes much more noise, the relative historical volatility can be perceived as a smoothed historical volatility ind.
Marginal notes:
Added standard deviations adjusted to the relative volatility value to predict probable future volatility of the stock.
Volatilitas Historis
Annualised Price Volatility %Annualised Price Volatility in percent, also called Instrument Risk, as outlined by Rob Carver in his excellent books, 'Systematic Trading' and 'Leveraged Trading'.
This is written for those who have read one of his books and want to use this tool on TradingView.
Trend strength, oscillators, and volume indicators are all the rage. Finding a great setup is, of course, key. You've decided to go long. Great!
But how much is your capital at risk?
How does that compare with your level of risk tolerance?
When trading, it's key to understand just how risky a certain instrument is. An uptrend is an uptrend, but is it at an annualised volatility of 2% per year or 500% per year? If it's the former, I know I can put a good chunk of capital into trading it. But if its the latter, I don't want to put so much money at risk. Volatility is rarely in a straight line. It's usually up and down.
I won't give the whole game away. To find out more about how to use this concept of risk, I'd highly recommend the books 'Leveraged Trading' and 'Systematic Trading' by Rob Carver.
Do you have any thoughts, ideas, or questions? Let me know in the comments or send me a message! I'd be glad to help you out.
All-time high and percentage dropsThis script calculates the ATH of whichever chart you use and plots it in blue
There is also an option to display the following ATH percentages: 90, 80, 70, 60, 50, 40 and 30 in white
Statistical and Financial MetricsGood morning traders!
This time I want to share with you a little script that, thanks to the use of arrays, allows you to have interesting statistical and financial insights taken from the symbol on chart and compared to those of another symbol you desire (in this case the metrics taken from the perpetual future ETHUSDT are compared to those taken from the perpetual future BTCUSDT, used as a proxy for the direction of cryptocurrency market)
By enabling "prevent repainting", the data retrieved from the compared symbol won't be on real time but they will static since they will belong to the previous closed candle
Here are the metrics you can have by storing data from a variable period of candles (by default 51):
✓ Variance (of the symbol on chart in GREEN; of the compared symbol in WHITE)
✓ Standard Deviation (of the symbol on chart in OLIVE; of the compared symbol in SILVER)
✓ Yelds (of the symbol on chart in LIME; of the compared symbol in GRAY) → yelds are referred to the previous close, so they would be calculated as the the difference between the current close and the previous one all divided by the previous close
✓ Covariance of the two datasets (in BLUE)
✓ Correlation coefficient of the two datasets (in AQUA)
✓ β (in RED) → this insight is calculated in three alternative ways for educational purpose (don't worry, the output would be the same).
WHAT IS BETA (β)?
The BETA of an asset can be interpretated as the representation (in relative terms) of the systematic risk of an asset: in other terms, it allows you to understand how big is the risk (not eliminable with portfolio diversification) of an asset based on the volatilty of its yelds.
We say that this representation is made in relative terms since it is expressed according to the market portfolio: this portfolio is hypothetically the portfolio which maximizes the diversification effects in order to kill all the specific risk of that portfolio; in this way the standard deviation calculated from the yelds of this portfolio will represent just the not-eliminable risk (the systematic risk), without including the eliminable risk (the specific risk).
The BETA of an asset is calculated as the volatilty of this asset around the volatilty of the market portfolio: being more precise, it is the covariance between the yelds of the current asset and those of the market portfolio all divided by the variance of the yelds of market portfolio.
Covariance is calculated as the product between correlation coefficient, standard deviation of the first dataset and standard deviation of the second asset.
So, as the correlation coefficient and the standard deviation of the yelds of our asset increase (it means that the yelds of our asset are very similiar to those of th market portfolio in terms of sign and intensity and that the volatility of these yelds is quite high), the value of BETA increases as well
According to the Capital Asset Pricing Model (CAPM) promoted by William Sharpe (the guy of the "Sharpe Ratio") and Harry Markowitz, in efficient markets the yeld of an asset can be calculated as the sum between the risk-free interest rate and the risk premium. The risk premium of the specific asset would be the risk premium of the market portfolio multiplied with the value of beta. It is simple: if the volatility of the yelds of an asset around the yelds of market protfolio are particularly high, investors would ask for a higher risk premium that would be translated in a higher yeld.
In this way the expected yeld of an asset would be calculated from the linear expression of the "Security Market Line": r_i = r_f + β*(r_m-r_f)
where:
r_i = expected yeld of the asset
r_f = risk free interest rate
β = beta
r_m = yeld of market portfolio
I know that considering Bitcoin as a proxy of the market portfolio involved in the calculation of Beta would be an inaccuracy since it doesn't have the property of maximum diversification (since it is a single asset), but there's no doubt that it's tying the prices of altcoins (upward and downward) thanks to the relevance of its dominance in the capitalization of cryptocurrency market. So, in the lack of a good index of cryptocurrencies (as the FTSE MIB for the italian stock market), and as long the dominance of Bitcoin will persist with this intensity, we can use Bitcoin as a proxy of the market portfolio
low and high X Bars//This script finds High and Low X bars back. Simple pine script, can customize lookback period.
Turkey Yield Curve SpreadYield spreads are used to see investors' perception of future risk and predict a recession. The spread is the value obtained by subtracting the near term bond from the distant one. This indicator plots this value historically. I used 3-year and 10-year Turkey treasury bond yields instead of 2-year and 10-year Turkey treasury bond yields due to lack of historical data on Tradingview.
Realized Volatility (annualized for any time frame)Plots standard deviation of returns (realized volatility), and annualizes it for the selected timeframe. Suitable for forex/cryptocurrencies which trade 24/7.
Indices Sector SigmaSpikes█ OVERVIEW
“The benchmark Dow Jones Industrial Average is off nearly 300 points as of midday today...”
“So what? Is that a lot or a little? Should we care?”
-Adam H Grimes-
This screener aims to provide Bird-Eye view across sector indices, to find which sector is having significant or 'out-of-norm' move in either direction.
The significance of the move is measured based on Sigma Spikes, a method proposed by Adam H. Grimes, where Standard Deviation of returns used as a baseline.
*You can google his blog or read his book, got some gold in there, especially on how he use indicators for trading
█ Understanding Sigma Spikes
As described by Grimes, moves in markets are only meaningful when we consider what “normal” is for that market.
Without that baseline, the daily change number, and even the percent change on the day doesn’t really mean much.
To overcome that problem, Sigma Spikes, as a measure of volatility, attempt to put todays change in price (aka return) in context of the standard deviation of 20 days daily's return.
Refer chart below:
1. The blue bars refer to each days return
2. The orange line is 1 time standard deviation of past 20days daily's return (today not included)
3. The red line is 2 time standard deviation of past 20days daily's return (today not included)
Using the ratio of today's return over the Std Deviation, determining your threshold (1,2,3,etc) will be the key that tells if today's move is significant or not.
*Threshold referring to times standard deviation, and different market may require different threshold.
*20 Days period are based on the Lookback Period, adjustable from user input window.
█ Features
- Scan up to 13 symbols at a time (Bursa (MYX) indices are defaulted, but you may change to any symbols/index from the user input setting)
█ Limitation
- Due to multiple use of security() function required to call other symbols, expect the screener to be slow at certain times
- Custom Timeframe currently accept only Daily and Weekly. I'll try to include lower timeframe in the next update
█ Disclaimer
Past performance is not an indicator of future results.
My opinions and research are my own and do not constitute financial advice in any way whatsoever.
Nothing published by me constitutes an investment recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities.
I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions.
Any ideas to further improve this indicator are welcome :)
Candle Height in Percentage - ColumnsThis indicator calculates the difference in percentage between lows and highs of a candle. The orange bars show the height of the candle body (open/close) and the red/green on top show the percentage of the wicks (high/low). This assists in understanding the volatility of an asset. Showing this in percentages is more helpful in crypto. It also shows the Simple Moving Average of this data with the blue line.
Average Low/High Percentage DifferenceThis indicator calculates the Simple Moving Average of the difference in percentage between lows and highs of a candle. This assists in understanding the volatility of an asset. Showing this in percentages is more helpful in crypto.
ADR% - Average Daily Range % by MikeC (AKA TheScrutiniser)This applies a 'corrected' formula to the version created by alpine_trader (which is slightly off). It calculates the Average Daily Range (in percent) over the previous 20 periods and plots it in a chart.
I am grateful to GlinckEastwoot for the 'corrected' formula.
OnTheMoveWith this plot one is able to compare the different % change in the given time frame. It calculates the sma of a given period (defval = 7) for the close/open.
Strategy would be to choose (trade) from one to other asset in order to get higher rates when pumping or lower when dumping.
The Symbol & exchange has to be specified.
defSymbols = BTC, ETH and LINK
defExchange = BINANCE
GBTC Fomo Panic PremiumIt is rumored that GBTC price action leads the Bitcoin market. This indicator compares GBTC fomo/panic levels to the (Binance) BTC spot market. Fomo is measured as large percentage moves of the high price from the min over a look-back period. Panic is measured as large percentage moves of the low price from the max over a look-back period. A prime example of this indicator's usage would be as a sell signal confirmation during the 2020 pre-Thanksgiving panic exhibited on the 1-hour chart while the 20 EMA was still above the 99 SMA.
You can customize the leading and lagging markets and the length of the lookback period. I would love to hear what parameters, markets and timeframes work for you. Maybe there is a way to leave comments, or hit me up on Twitter: @thirdreplicator
May you profit and enjoy.
Volatility Prism [Nic]What is this
The volatility rainbow tracks divergences in a security and its volatility index. This can be used to identify periods of heightened implied (future) risk.
About Volatility
The volatility is calculated by looking at put / call ratios. When VIX goes up it means that puts are outpacing calls. This is a bearish signal.
About Correlation
When the security goes up while the VIX goes up, the divergence on the plot will increase and turn a color. This should be a warning.
Volatility Rainbow
This is a similar indicator, but this one merges all signals into a single line.
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.
Divergence Indicator [Nic]This divergence indicator can track the correlation between one or more symbols. I use it to track the divergences between the VIX volatility index, gold, bonds, as well as other market leading indicators.
When using with Vix, lower coefficients can lead to false signals. When in a high vix bear market signals, there is more noise and more false (or missing) signals can occur. Please use with other technical tools.
True Range in %I like to look at volatility in percentage and not in numbers. This is exactly what this script provides. It calculates the true range of a candle in percentage to the current price (for finished candles it uses it's close price).
The script also allows you to compare open and close prices.
Pisani BandsThis indicator is based on Historical Volatility.
It's plot the simple moving average with a upper and a lower band.
The bands are calculated like this:
UpperBand = 20 Simple moving average + 20% * Historical volatility
LowerBand = 20 Simple moving average - 20% * Historical volatility
But, you can change the paramters. I use the 200SMA with 100% of Historical Volatility either.
How to use:
If the price are negociating out of the bands, it's dangerous to trade this stock.
Hope you like it.
Long/Short Margin Ratio for cryptocurrenciesBTCUSDSHORTS and BTCUSDLONGS are like datasets provided by Bitfinex exchange. They record the number of margined for longs and shorts and they are measured in BTC (in case using BTCUSD ).
Margin is Like any loan, the borrower may pay interest while the loan is outstanding, and must eventually pay the loan back.
Red Area: More short margin than long margin.
Green Area: More long margin than short margin.
Note: Can only be used with cryptocurrencies that have such dataset within Bitfinex exchange like BTCUSD , ETHUSD , XRPUSD and a few more.
3 Leg Short Strangle BandsDraws 3 leg bands along with safe zone(green lines) based on input
1) Input ATR, Week Day, Current Market Close
2) Input ATR - Previous day 1H Max ATR
3) ADX < 25
4) Input Current Market Close
5) Trading Day - Mon/Tue/Wed/Thu/Fri - Bands distance calculated based on day M/Tu/F 2*(Max ATR), W/Th 1.5(ATR)
6) Safe zone green lines - CMPCls +/- (1.5 * Max ATR)
7) Leg 1 Upper Lower Legs - M/Tu/F - CMPCls +/-(2 * Max ATR), W/Th - CMPCls +/-(1.5 * ATR)
8) Leg 2 & 3 Calculates based on Leg 2 = Leg 1 +/- 100 pts distance, Leg 3 = Leg 2 +/- 100 pts distance'
9) All figures rounded to nearest 100's
10) Safe zone broken exit all positions
This is a popular technic used by Profitable traders on sideway markets for Intraday
One can keep 3K as SL per 1 set of 3 legs for better R:R
NIFTY VIX Bands1) The script takes current INDIA VIX as input Daily time frame for NIFTY
2) Used a Formula VIX Value / Square root of Time Period
3) Change Timeframe input accordingly 1 Year = 1, Monthly = 12, Weekly = 52, Daily = 365
4) based point 2 formula with 1 standard deviation it creates upper & lower range bands
5) This is generally used for option selling by big traders they go and sell above the band strikes
Standard Deviation Volatility HelperHere is a simple Standard Deviation Line based on supply and demand that will help you to find expected move easily. 3 Standart Deviation merged line available. Number of days and adjustable length.
Geometric Brownian Motion BandIf you are an option trader, who are constantly searching opportunities to set up inverse iron condor position or other strategies, you must be familiar in estimating the range induced by Geometric Brownian Motion (GBM), or Lognormal distribution someone may call.
The theory behind is adopted in the Black Scholes Option Pricing model, this assumes the asset price follows the GBM, shown below, and estimates the range where the price will fall into on the specific date and probability.
dS = a dt + v dW
Assuming the drift term is zero, this GBM Band applies the same model and helps you to quickly assess the suitable range to set up your option strategies with simple setting:
Length – number of bars covered
Vol Multiple - the z-score of the probability
Default values of the Length and Vol Multiple are set to 20 bars and 2.0 z-score respectively.
You can find an example how the GMB Band work.
You can also applies this GMB Band like how Bollinger's Band does for swing trade or breakaway trade.
If you find this indicator is useful to you, Star it, Follow, Donate, Like and Share.
Your support is a highly motivation for me.
