Last Friday of MonthThis script marks the last Friday of the month in a daily chart because this is the day when BTC and ETH options expire according to Deribit.
I only found a script that highlights the 3rd Friday of the month, which is not what I wanted.
This script tries to figure out the correct number of days per month but is not aware of holidays which might displace the expiry date.
Options
OptionsMillionaire SPY Moving Averages and Signalsby ColeJustice
OptionsMillionaire's SPY Options trading system is based mainly on these indicators:
- 8 EMA*
- 21 EMA*
- 100 SMA*
- 200 SMA*
- MACD
- RSI
- Squeeze Momentum
(*provided by this indicator)
and follows these rules:
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| 1) I never fight the trend. If its green, i buy calls. If its red, i buy puts. I will only buy puts on a green day if there is a overall change in market trend. Inversely, calls on a red day
| 2) Price action is my #1 indicator. I wait for it to confirm my thesis before i enter a trade
| 3) I only trade SPY Options
| 4) My baseline is to choose a call/put that has a DTE (Date To Expiration) 6-7 days out, with a strike $2-$3 away. I adjust that to fit my current appetite for volatility. i virtually never play same day DTE's.
| 5) I set a 10% stop, but usually exit at 8% before my stop triggers depending on current situation
| 6) I utilize about 10-20% of my Portfolio for one trade. Sometimes more. Rarely less.
| 7) I never hold overnight in these market conditions.
| 8) I shoot for 10-20% for gains. Depending on market conditions.
| 9) Always look for confirmations in your indicators.
| 10) I never force a trade. No trade is a good trade too if the entry just isn't there.
| 11) Patience always pays off. A great set-up can form in minutes or seconds. I never regret being patient to enter. I nearly always regret rushing into a trade.
|
This indicator combines the moving averages into a single unit to simplify one part of the indicator usage rules: the 8 EMA / 21 EMA Cross. . The 8 crossing over the 21 is a Bullish signal, while the 8 crossing under the 21 is a Bearish signal. This indicator places flags at these crossover/under points, as well as shading the area between the 8 and 21 EMAs to help visualize the strength of the trend; green during a Bullish cross, and red during a Bearish cross.
A new addition to this strategy is the Hull Moving Average, or HMA. This script defaults to an HMA of 20 and shows alerts when candles close above or below the plot in the form of green and red candle backgrounds. This alert is best used in conjunction with the main crossovers and should be considered an addition level of confidence rather than providing trade entry/exits directly. This indicator is more flexible and you should feel free to adjust the period if you find a different value works better within your own personal trading style.
Each individual element of this indicator can be modified or toggled, providing maximum customization. While you should strive to become comfortable with the default settings, these options are provided in case you feel the need to adjust for your own style (or if testing on tickers other than SPY, for example).
Goodluch, and happy trading!
wEMPlotDescription:
Plots the Weekly Expected Move (wEM) using the following week's Option Chain ATM Call+Put ask price to determine the EM for the following week
The wEM is the options market pricing in the expected future volatility for the following week.
The wEM is the range that the underlying price will be contained during the week 68% of the time.
These levels can be used as targets for options or equity trades for either directional or non-directional trades.
The options market in the major indices, such as SPX, can drive the overall market's order flow and so the EM can provide
useful insight into the hedging levels being used by professionals and market markers.
As Trading View does not currently provide access to option chain data, the option chain expected move for an underlying has to be manually
entered each week, but the script provides an easy to use framework to enter the parameters for the next week.
These parameters are as follows:
eg.
t1_1 = timestamp(2021, 02, 08) <==== timestamp for the start of next week (yyyy,mm,dd)
t1_2 = timestamp(2021, 02, 12) <==== timestamp for the end of next week (yyyy,mm,dd)
plotwem("QQQ", 331.36, 5.86, t1_1, t1_2, 0, 0)
^^^^
plotwem(Symbol, Close-last-week, Expected Move next week, Next week start timestamp, Next week end timestamp, Highlight-Upper-EM, Highlight-Lower-EM)
Parameters are:
Symbol : Underlying chart symbol (aka ticker). Can be a symbol for equity, future or index.
Close-last-week: Closing price at the end of last week.
Expected Move next week: The Expected Move for next week: Calculated from next week's Option Chain ATM Call+Put ask price
Next week start timestamp : Timestamp for the start of next week
Next week end timestamp : Timestamp for the end of next week
Highlight-Upper-EM : highlight upper expected move level. Set to 1 to highlight with red color. Set to 0 is no highlight.
Highlight-Lower-EM : highlight lower expected move level. Set to 1 to highlight with red color. Set to 0 is no highlight.
The highlight parameters can be updated at any point to indicate that the underlying has either touched the EM level or breached the level.
The highlights can be used to visually determine periods of market instability which can provide insight into applicable strategies for the market conditions.
Put Call OscillatorThis is a volume-based oscillator used for detecting market sentiment.
This plots two moving averages of the CBOE S&P500 PCR (put call ratio), and a histogram to measure the distance between them. The histogram will generate signals of green (bullish) or red (bearish), depending on whether put volume is decreasing or increasing.
The moving averages are adjustable. They are set at 4 and 16 by default. Increasing the moving averages will generate less signals, while decreasing them will generate more signals.
The background will change color from red to green depending on whether the PCR is above or below 1.
I used capriole_charles script "Put/Call Ratio (PCR)" to help me build this.
Doms 0dte/hassan conversion v2 Hello Guys
This is a reupload!
The 0dte is for options trading and is used for the main 1 to 0 odte strategy!
It uses volume, sector and tik analysis in order to give an understanding of looking which way to play.
The next version will look at correlations between the es! Feel free to point out bugs and reach out as I want this to grow into something way stronger!
Monthly Options Expiration 2021Monthly options expiration for the year 2021.
Also you can set a flag X no. of days before the expiration date. I use it at as marker to take off existing positions in expiration week or roll to next expiration date or to place new trades.
Happy new year 2021 in advance and all the best traders.
Swing Reversal IndicatorSwing Reversal Indicator was meant to help identify pivot points on the chart which indicate momentum to buy and sell. The indicator uses 3 main questions to help plot the points:
Criteria
Did price take out yesterday's high or low?
Is today's range bigger than yesterday? (Indicates activity in price)
Is the close in the upper/lower portion of the candle? Thus, indicating momentum in that direction
This indicator was built to help me find pivot points for directional options trading however can be used for equities and forex swing trading and other strategies. Used in conjunction with a BB extreme can provide good setups.
Alerts are available for both the long and the short positions and the indicator will repaint as price moves.
The character Plotted can be changed in the settings
The size of the candle area can be changed as well if you want to tighten/loosen the trigger points based on the third question above.
Implied Volatility PercentileThis script calculates the Implied Volatility (IV) based on the daily returns of price using a standard deviation. It then annualizes the 30 day average to create the historical Implied Volatility. This indicator is intended to measure the IV for options traders but could also provide information for equities traders to show how price is extended in the expected price range based on the historical volatility.
The IV Rank (Green line) is then calculated by looking at the high and low volatility over the number of days back specified in the input parameter, default is 252 (trading days in 1 year) and then calculating the rank of the current IV compared to the High and Low. This is not as reliable as the IV Percentile as the and extreme high or low could have a side effect on the ranking but it is included for those that want to use.
The IV Percentile is calculated by counting the number of days below the current IV, then returns this as a % of the days back in the input
You can adjust the number of days back to check the IV Rank & IV Percentile if you are not wanting to look back a whole year.
This will only work on Daily or higher timeframe charts.
Trendy Bar Trend Color LiteLite version of the original Trendy Bar Trend Color
This will only color the candlestick body of your chart
Can be used with solid, hollow, renko, or any other chart type
Custom coloring for Highs, Lows, and consolidation is removed
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 🙂
FOMO DRIVEN DEVELOPMENT OPTIONS RETICLE Options Reticle caters to degenerate traders and gamblers worldwide, reaching out for long distant contract expiration and just OTM strike placement.
Generate the overlay yourself using the tradingview-options-reticle CLI tool found on GitHub.
The Options Reticle provides a targeting system overlay that will show a horizontal OTM strike price and verticle expiration target. If you're thinking as soon as the expiration date has passed, this overlay will be useless; you're right but, you can use the options-reticle CLI tool to generate a new overlay from a watchlist exported from TradingView.
OVERLAY FEATURES:
Quick Action PUT (QAP) Mode - When you flip the chart by adding a 0- in front of the symbol, you will see the PUT contract target. Strike Price / Expiration Crosshairs.
Fill Mode - Shows a fill between the historical price and the target strike price. It will show green when ITM and red when OTM. Target information panel - Shows the company name, days till expiration, month and day of expiration, strike price, dollars OTM or ITM, and the contract type.
Emotion Indicator - Shows an exact representation of your feelings based on if you were in the trade. It has an accuracy of 99.9 percent.
QUICK ACTION PUT (QAP) MODE :
This style of reticle is not visible until you flip the chart. The advantage of the (QAP) is that it maintains the same appearance as the standard style of reticle, making PUT contract targeting feel the same. When targeting with (QAP) mode, be aware that the chart prices are reversed. Up is down, and down is up; this can be confusing but will feel normal overtime. Activate QAP mode by appending a 0- to the symbol of the chart. If nothing appears, no put option data was found for that symbol.
CALIBRATING YOUR RETICLE :
The overlay is generated using the options-reticle CLI tool found on GitHub. The adjustment script will parse a watchlist exported from TradingView then download options data for each ticker in the watchlist. The max amount of symbols you can add to a single overlay is about 200. Any more than 200 and the overlay will crash. Luckily, If you use a TradingView watchlist with more than 200 ticker symbols to generate overlays, the options-reticle command-line tool will automatically create multiple overlays with 200 tickers each. You can add multiple overlays to your chart to get all the tickers in the watchlist.
RETICLE GENERATION AND MOUNTING :
Add all the tickers you want to track into a watchlist on Tradingview.
Export the watchlist into a txt file using TradingView's watchlist export list button.
Open the terminal and change to the directory with the downloaded watchlist txt file.
Install options-reticle command tool with pipx. pipx install tradingview-options-reticle.
Run the command options-reticle download --watchlist {name of watchlist.txt file}. This will download the options data to an options_data.toml in the same directory as the watchlist txt file.
Run the command options-reticle build --options-data-input-path options_data.toml. This will generate the overlay scripts. If the watch list has more than 200 ticker symbols, it will generate a separate overlay script for every 200 ticker symbol chunk.
Copy and paste each of the generated overlay scripts one at a time into the Pine Editor on TradingView, then click the Add to Chart button. Make sure you copy the entire code.
FUTURE FEATURES :
Give the choice to generate PUT option contracts without using QAP mode. This option will allow you to use the input settings to change the contract type without flipping the chart.
Max OTM target argument - This will allow the option-reticle CLI to generate overlays with deeper OTM contracts. It currently only searches for the first OTM contract.
Add the ability to change the crosshair line type.
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.
Implied Volatility SuiteThis is an updated, more robust, and open source version of my 2 previous scripts : "Implied Volatility Rank & Model-Free IVR" and "IV Rank & IV Percentile".
This specific script provides you with 4 different types of volatility data: 1)Implied volatility, 2) Implied Volatility Rank, 3)Implied Volatility Percentile, 4)Skew Index.
1) Implied Volatility is the market's forecast of a likely movement, usually 1 standard deviation, in a securities price.
2) Implied Volatility Rank, ranks IV in relation to its high and low over a certain period of time. For example if over the past year IV had a high of 20% and a low of 10% and is currently 15%; the IV rank would be 50%, as 15 is 50% of the way between 10 & 20. IV Rank is mean reverting, meaning when IV Rank is high (green) it is assumed that future volatility will decrease; while if IV rank is low (red) it is assumed that future volatility will increase.
3) Implied Volatility Percentile ranks IV in relation to how many previous IV data points are less than the current value. For example if over the last 5 periods Implied volatility was 10%,12%,13%,14%,20%; and the current implied volatility is 15%, the IV percentile would be 80% as 4 out of the 5 previous IV values are below the current IV of 15%. IV Percentile is mean reverting, meaning when IV Percentile is high (green) it is assumed that future volatility will decrease; while if IV percentile is low (red) it is assumed that future volatility will increase. IV Percentile is more robust than IV Rank because, unlike IV Rank which only looks at the previous highs and lows, IV Percentile looks at all data points over the specified time period.
4)The skew index is an index I made that looks at volatility skew. Volatility Skew compares implied volatility of options with downside strikes versus upside strikes. If downside strikes have higher IV than upside strikes there is negative volatility skew. If upside strikes have higher IV than downside strikes then there is positive volatility skew. Typically, markets have a negative volatility skew, this has been the case since Black Monday in 1987. All negative skew means is that projected option contract prices tend to go down over time regardless of market conditions.
Additionally, this script provides two ways to calculate the 4 data types above: a)Model-Based and b)VixFix.
a) The Model-Based version calculates the four data types based on a model that projects future volatility. The reason that you would use this version is because it is what is most commonly used to calculate IV, IV Rank, IV Percentile, and Skew; and is closest to real world IV values. This version is what is referred to when people normally refer to IV. Additionally, the model version of IV, Rank, Percentile, and Skew are directionless.
b) The VixFix version calculates the four data types based on the VixFix calculation. The reason that you would use this version is because it is based on past price data as opposed to a model, and as such is more sensitive to price action. Additionally, because the VixFix is meant to replicate the VIX Index (except it can be applied to any asset) it, just like the real VIX, does have a directional element to it. Because of this, VixFix IV, Rank, and Percentile tend to increase as markets move down, and decrease as markets move up. VixFix skew, on the other hand, is directionless.
How to use this suite of tools:
1st. Pick the way you want your data calculated: either Model-Based or VixFix.
2nd. Input the various length parameters according to their labels:
If you're using the model-based version and are trading options input your time til expiry, including weekends and holidays. You can do so in terms of days, hours, and minutes. If you're using the model-based version but aren't trading options you can just use the default input of 365 days.
If you're using the VixFix version, input how many periods of data you want included in the calculation, this is labeled as "VixFix length". The default value used in this script is 252.
3rd. Finally, pick which data you want displayed from the dropdown menu: Implied Volatility, IV Rank, IV Percentile, or Volatility Skew Index.
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.
MMP Indicator 4-step WeeklyFading levels using martingale (limit orders, rebate venue) with no stop-loss orders, long the wings at the end of Support and Resist levels from prior week Friday right before the close. Re-hedge the order book units when there is a breakout.
Black-Scholes Model for American OptionsThis model uses Black's Approximation to price American Options. Black's Approximation is an extension of the traditional Black-Scholes model that allows the price of American Options to be approximated within the Black-Scholes Framework. This is necessary because the traditional Black-Scholes model only works on options that are exercised at expiry, not before; like American Options can be.
Black's Approximation approximates the value of an American option by:
1st. Calculating the theoretical price of a european call or put based on the strike price (K), spot price (S), annual return (sigma), time until expiry (T), times until the next 2 ex-dividend dates (t1 & t2), and the dividend paid out at times t1 and t2 (D1 and D2).
2nd. The theoretical price of an option expiring on the second ex-dividend date (t2) is calculated. This replicates exercising the option early.
3rd. Finally, the highest price of the two theoretical prices calculated in steps 1 & 2 is chosen as the approximated price.
How to use this:
1st. Input your strike price.
2nd. Input the risk-free-rate of the currency the option is based in.
3rd. Input the dividend yield for the next ex-dividend date. For example AAPL's dividend yield is 0.82 and will be paid out on August 7,2020.
4th. Input the time until the next ex-dividend date. For example AAPL's next ex-dividend date is August 7,2020, which is 61 days away. So you'd input 61 (this includes weekends and holidays).
5th. Input the dividend yield for the ex-dividend date after the next one. For example AAPL's dividend yield after the next one is 0.82 and will be paid out on November 6, 2020.
6th. Input the time until the next furthest ex-dividend date. For example AAPL's next ex-dividend date after Aug 7th, is on November 6, 2020, which is 152 days away. So you'd input 152 (this includes weekends and holidays).
7th. Input your time until expiry. You can do so in terms of days, hours, and minutes.
8th. Input your chart time-frame in term of minutes. For example, if you're using the 1 min time-frame enter 1, 4hr time-frame enter 480, daily time-frame enter 1440.
9th. Lastly, pick what type of option you want data for: Long Call or Long Put.
*Disclaimer, because Black's Approximation is mostly geared towards stocks, this will only work for stocks. Also, the time variables: time until expiry and time until the ex-dividend dates; don't automatically update. So you will have to update them each day.
Binomial Option Pricing ModelA binomial option pricing model is an option pricing model that calculates an option's price using binomial trees. The BOPM method of calculating option prices is different from the Black-Scholes Model because it provides more flexibility in the type of options you want to price. The BOPM, unlike the BS model typically used for European style options, allows you to price options which have the ability to exercise early, such as American or Bermudan options. Although you can use the BOPM for any option style.
This specific model allows you to price both American and European vanilla options.
The way the BOPM calculates option prices is by:
First, dividing up the time until expiry into equal parts called steps. This specific model presented only uses 2 steps. For example, say you have an option with an expiry of 60 days, and your binomial tree has only two steps. Then each step will contain 30 days.
Second, the model will project the expected price of the underlying at the end of each step, called a node. The expected price is calculated by using the underlying's volatility and projecting what the price of the underlying would be if it were to rise and fall. This step is repeated until the terminal node, aka the end of the tree, is reached.
Third, once the terminal node's expected underlying prices are calculated, their expected option prices must be calculated.
Finally, after calculating the terminal option prices, backwards induction must be used to calculate the option prices at the previous nodes, until you reach Node 0, aka the current option price.
In order to use this model:
1st. Enter your option's strike price.
2nd. Enter the risk-free-rate of the currency the option is based in.
3rd. Enter the dividend yield of the underlying if it's a stock, or the foreign risk-free-rate if it's an FX option.
*For example, if you were trading an AAPL stock option, in the risk-free-rate box mentioned in step 2, you would enter the US risk-free-rate because AAPL options are traded in US dollars. In the dividend yield box mentioned in step 3, you would enter the stock's dividend yield, which for AAPL is 0.82.
*If you were, for example, trading an option on the EUR/JPY currency pair, the risk-free-rate mentioned in step 2, would be the Japanese risk-free-rate. Then in the the dividend yield box from step 3, you'd input the Eurozone risk-free-rate.
*If you were trading an options on futures contract, the risk-free-rate mentioned in step 2, would be the risk-free-rate for whatever currency the futures contract is denominated in. For example EUR futures are denominated in USD, so you would input the US risk-free-rate. Meanwhile, something like FTSE futures are denominated in GBP, so you would input the British risk-free-rate. As for the dividend yield box mentioned in step 3, for all options on futures, enter 0.
4th. Pick what type of underlying the option is based on: stock, FX, or futures.
5th. Pick the style of option: American or European.
6th. Pick the type of option: Long Call or Long Put.
7th. Input your time until expiry. You can express this in terms of days, hours, and minutes.
8th. Lastly, input your chart time-frame in term of minutes. For example, if you're using the 1 min time-frame enter 1, 4hr time-frame enter 480, daily time-frame enter 1440.
*Disclaimer, because this particular model only uses 2 steps, it won't work on stocks with high prices (over $100). If you want to use this on stocks with prices greater than $100, you would need to add more steps to the code, shown below. The model in its current form should work for stocks below $100.
Options Decay Speed for 0DTEUse only for:
SPX, 5 minutes time frame
This indicator is complementing options 0DTE strategy - selling options for SPX index in the same day as they are expiring. Output of the indicator (red or green color of the curve) indicates whether is profitable to sell options at given moment at delta and VIX specified in the parameters. Changing parameter "Candles" is not recommended.
Main thought is that options expire with certain speed (theta decay) when stock doesnt move. When stock moves in unfavorable direction slowly enough, decay speed can compensate for disadvantage coming from option delta. Intuitively there must be certain speed of stock value change (expressed in stock value per 5 minutes) that is exactly compensating theta decay. This indicator calculates those two values (details below) and shows, where theta decay is faster than stock movement in the last hour and thus favorable to sell options.
Indicator gets its result from comparing two values:
1) volatility in the form of highest high and lowest low for past 12 candles (one hour in total) divided by 12 - meaning average movement of stock expressed in
2) speed of options value decay in form of combination of theta decay and option delta. Formulas are approximation of Black-Scholes model as Pine script doesnt allow for advanced functions. Approximations are accurate to 2 decimal points from market open to one hour before market close and will not indicate green when accuracy is not sufficient. Its value is also expressed in so its mutualy comparable.
My focus was not on code elegance but on practical usability.
Written by Ondřej Škop.
Black-Scholes Options Pricing ModelThis is an updated version of my "Black-Scholes Model and Greeks for European Options" indicator, that i previously published. I decided to make this updated version open-source, so people can tweak and improve it.
The Black-Scholes model is a mathematical model used for pricing options. From this model you can derive the theoretical fair value of an options contract. Additionally, you can derive various risk parameters called Greeks. This indicator includes three types of data: Theoretical Option Price (blue), the Greeks (green), and implied volatility (red); their values are presented in that order.
1) Theoretical Option Price:
This first value gives only the theoretical fair value of an option with a given strike based on the Black-Scholes framework. Remember this is a model and does not reflect actual option prices, just the theoretical price based on the Black-Scholes model and its parameters and assumptions.
2)Greeks (all of the Greeks included in this indicator are listed below):
a)Delta is the rate of change of the theoretical option price with respect to the change in the underlying's price. This can also be used to approximate the probability of your option expiring in the money. For example, if you have an option with a delta of 0.62, then it has about a 62% chance of expiring in-the-money. This number runs from 0 to 1 for Calls, and 0 to -1 for Puts.
b)Gamma is the rate of change of delta with respect to the change in the underlying's price.
c)Theta, aka "time decay", is the rate of change in the theoretical option price with respect to the change in time. Theta tells you how much an option will lose its value day by day.
d) Vega is the rate of change in the theoretical option price with respect to change in implied volatility .
e)Rho is the rate of change in the theoretical option price with respect to change in the risk-free rate. Rho is rarely used because it is the parameter that options are least effected by, it is more useful for longer term options, like LEAPs.
f)Vanna is the sensitivity of delta to changes in implied volatility . Vanna is useful for checking the effectiveness of delta-hedged and vega-hedged portfolios.
g)Charm, aka "delta decay", is the instantaneous rate of change of delta over time. Charm is useful for monitoring delta-hedged positions.
h)Vomma measures the sensitivity of vega to changes in implied volatility .
i)Veta measures the rate of change in vega with respect to time.
j)Vera measures the rate of change of rho with respect to implied volatility .
k)Speed measures the rate of change in gamma with respect to changes in the underlying's price. Speed can be used when evaluating delta-hedged and gamma hedged portfolios.
l)Zomma measures the rate of change in gamma with respect to changes in implied volatility . Zomma can be used to evaluate the effectiveness of a gamma-hedged portfolio.
m)Color, aka "gamma decay", measures the rate of change of gamma over time. This can also be used to evaluate the effectiveness of a gamma-hedged portfolio.
n)Ultima measures the rate of change in vomma with respect to implied volatility .
o)Probability of Touch, is not a Greek, but a metric that I included, which tells you the probability of price touching your strike price before expiry.
3) Implied Volatility:
This is the market's forecast of future volatility . Implied volatility is directionless, it cannot be used to forecast future direction. All it tells you is the forecast for future volatility.
How to use this indicator:
1st. Input the strike price of your option. If you input a strike that is more than 3 standard deviations away from the current price, the model will return a value of n/a.
2nd. Input the current risk-free rate.(Including this is optional, because the risk-free rate is so small, you can just leave this number at zero.)
3rd. Input the time until expiry. You can enter this in terms of days, hours, and minutes.
4th.Input the chart time frame you are using in terms of minutes. For example if you're using the 1min time frame input 1, 4 hr time frame input 480, daily time frame input 1440, etc.
5th. Pick what style of option you want data for, European Vanilla or Binary.
6th. Pick what type of option you want data for, Long Call or Long Put.
7th . Finally, pick which Greek you want displayed from the drop-down list.
*Remember the Option price presented, and the Greeks presented, are theoretical in nature, and not based upon actual option prices. Also, remember the Black-Scholes model is just a model based upon various parameters, it is not an actual representation of reality, only a theoretical one.
*Note 1. If you choose binary, only data for Long Binary Calls will be presented. All of the Greeks for Long Binary Calls are available, except for rho and vera because they are negligible.
*Note 2. Unlike vanilla european options, the delta of a binary option cannot be used to approximate the probability of the option expiring in-the-money. For binary options, if you want to approximate the probability of the binary option expiring in-the-money, use the price. The price of a binary option can be used to approximate its probability of expiring in-the-money. So if a binary option has a price of $40, then it has approximately a 40% chance of expiring in-the-money.
*Note 3. As time goes on you will have to update the expiry, this model does not do that automatically. So for example, if you originally have an option with 30 days to expiry, tomorrow you would have to manually update that to 29 days, then the next day manually update the expiry to 28, and so on and so forth.
There are various formulas that you can use to calculate the Greeks. I specifically chose the formulations included in this indicator because the Greeks that it presents are the closest to actual options data. I compared the Greeks given by this indicator to brokerage option data on a variety of asset classes from equity index future options to FX options and more. Because the indicator does not use actual option prices, its Greeks do not match the brokerage data exactly, but are close enough.
I may try to make future updates that include data for Long Binary Puts, American Options, Asian Options, etc.
MobilityThe indicator measure realized mobility of the underlying in the terms of V.Kurbakovsky. It is not an exact realization without access to bid and ask prices, but you can choose source prices in the settings window. The indicator can be used to estimate the degree of variation of the underlying price in volatility trading. It is advised to use it on a 1M (1 minute) timeframe. In the calculations the mobility will be normalized to a day. In Minutes in period setting you can specify the number of the estimating periods during MOEX trading session, which is 810 minutes. Thus, mobility is measured in points per day.
Bitcoin Implied VolatilityThis simple script collects data from FTX:BVOLUSD to plot BTC’s implied volatility as a standalone indicator instead of a chart.
Implied volatility is used to gauge future volatility and often used in options trading.
BO - CCI Arrow with AlertBO - CCI Arrow with Alert base on CCI indicator to get signal for trade Binary Option.
Rules of BO - CCI Arrow with Alert below:
A. Setup Menu
1. cciLength:
* Default CCI lenght = 14
2. Linear Regression Length:
* Periods to calculate Linear Regression of CCI,
* Default value = 5
3. Extreme Level:
* Default top extreme level = 100
* Default bottom extreme level = -100
4. Filter Length:
* Periods to define highest or lowest Linear Regression
* Default value = 6
B. Rule Of Alert Bar
1. Put Alert Bar
* Current Linear Regression Line created temporrary peak
* Peak of Linear Regression Line greater than Top Extreme Level (100)
* Previous Linear Regression is highest of Filter Length (6)
* Previous Linear Regression is greater than previous peak of Linear Regression Line
* Current price greater than previous low
* CCI(14) less than Linear Regression Line
2. Call Alert Bar
* Current Linear Regression Line created temporrary bottom
* Bottom of Linear Regression Line less than Bottom Extreme Level (-100)
* Previous Linear Regression is lowest of Filter Length (6)
* Previous Linear Regression is less than previous bottom of Linear Regression Line
* Current price less than previous lhigh
* CCI(14) greater than Linear Regression Line
B. Rule Of Entry Bar and Epiry.
1. Put Entry with expiry 3 bars:
* After Put Alert Bar close with signal confirmed, put Arrow appear, and after 3 bars, result label will appear to show win trade, loss trade or draw trade
2. Call Entry with expiry 3 bars:
* After Call Alert Bar close with signal confirmed, call Arrow appear, and after 3 bars, result label will appear to show win trade, loss trade or draw trade.
3. While 1 trade is opening no more any signal
C. Popup Alert/Mobile Alert
1. Signal alert: Put Alert or Call Alert will send to mobile or show popup on chart
2. Put Alert: only Put Alert will send to mobile or show popup on chart
3. Call Alert: only Call Alert will send to mobile or show popup on chart
