OpenMarketLondon Open Market to New York Open Market.
Only weekday is visible.
Summer -- 1500-2000
Winter -- 1600-2100
Options
CPR Option Selling StrategyGood afternoon traders,
This is a script I built for option selling, in attempt to have a high success rate.
The gist of how it works:
It uses the opening or close of the current chart's timeframe opening bar when referenced against a designated (higher) timeframe's central pivot range (CPR).
Using that comparison, this script calculates an option to sell: put, call, or iron condor. It will calculate a call value using an average of the CPR central pivot and the max value of the prior higher timeframe's high or R1 (whichever is higher.)
It does the same for the put side, but uses the higher timeframe's low or S1 (whichever is lower.)
It will use the option on the other side of the source (open or close) of the CPR as the "option in play."
Settings:
There are many settings, most are simply "viewable" settings, and probably self explanatory, others, not so much:
"Source for Trigger" - this is the value used on the "opening bar," such as the close. This value is the one compared to the Central Pivot Range in determining whether to sell a call (if the source is lower,) sell a put (if the source is higher,) or an iron condor if it's in the CPR.
"Show Historical Win/Loss Percentages" - this shows a table in the bottom right of the W/L percentages for the current ticker and settings. Used for a quick glance at historical success rates.
"Extend Developing Levels Into the Future" - This will extend the developing values for CPR values, call and put values into the future (good for trying to trade early or setting up pre-market trades, assuming there will not be huge gap in one direction or another.)
"Select Higher Timeframe" - "Auto" will choose the higher timeframe for you. "Manual" will use the next field...
"If Manual, Timeframe for Pivots" - allows you to choose a different higher timeframe.
The next two sections are simply whether to show the plots for different levels of traditional and/or camarilla pivot points.
The last section will allow you to just filter on certain days. Really only useful for "backtesting" certain 0DTE trades on some daily options during the hourly chart.
Example use:
An example use (which I completed last week) on the chart referenced in this share: I sold a put-spread for $0.90, selling a 590 and buying a 570 strike in the middle of the week. I was looking at an hourly timeframe chart with a weekly pivot timeframe for the strategy.
Obviously, making only $0.90 on a $20 spread, there is a lot more to lose than to make, but I did some other analysis to go with it, so I felt safe, and I had a stop set for $1.50. So it worked, along with 3 other plays I did, very similar, and if that "Historical Win/Loss Percentage" is accurate, which I am fairly certain it is, I felt good about it.
The key all comes down to what you sell it for, right? That piece only you can determine. :)
Happy trading and enjoy,
Deuce
Binance Futures/Spot PriceShows the last price of either the spot or futures market on Binance, for the current coin.
It shows futures if you are in a spot market, and spot if you are in futures.
Currently this only works for USD stable coin pairs (BUSD, USDT, USDC, ...).
I don't plan to add COIN future pairs, it's not useful to me.
Additionally, it allows you to show the lowest and highest traded price (in the opposite market you are currently on: spot/futures) for a given period, and the respective chart, if you are into that sort of thing.
Bye :D
Trading Made Easy Pressure OscillatorAs always, this is not financial advice and use at your own risk. Trading is risky and can cost you significant sums of money if you are not careful. Make sure you always have a proper entry and exit plan that includes defining your risk before you enter a trade.
Those who have looked at my other indicators know that I am a big fan of Dr. Alexander Elder and John Carter. This is relevant to my trading style and to this indicator in general. While I understand it goes against TradingView rules generally to display other indicators while describing a new one, I need the Bollinger Bands, Bollinger Bands Width, and a secondary directional indicator to explain the full power of this indicator. In short, if this is strongly against the rules, I will edit the post as needed.
Those of you who are aware of John Carter are going to know this already, but for those who don’t, an explanation is necessary. John Carter is a relatively famous retail-turned-institutional (sort of) trader. He is the founder of TradetheMarkets, that later turned into SimplerTrading. Him and his company have a series of YouTube videos, he has made appearances on the MoneyShow, TastyTrade, and has authored a couple of books about trading. However, he is probably most famous for his “Squeeze” indicator that was originally launched on Thinkorswim and through his website but has now been incorporated into several trading platforms and even has a few open-source versions available here. In short, the Squeeze indicator looks to identify periods of consolidation and marry that with a momentum oscillator so you can position yourself in a quiet period before a large move. This in my opinion, is one of the best indicators an option trader can have, since options are priced both on time and volatility. To do this, the Squeeze identifies when the Bollinger Bands, a measure of price standard deviation, have contracted inside the Keltner Channels (a measure of the average range of a stock). This highlights something known as “the Squeeze”, when the 2x standard deviations (95% of all likely price movement using data from the past 20 periods) is less than the 1.5x average true range (ATR) of the stock over the same number of periods. These periods are when a stock is resting and in a period of consolidation and is generally followed by another large move once it has rested long enough. The momentum oscillator is used to determine the direction of this next move.
While I think this is one of the best indicators ever made, it is not without its pitfalls. I find that the “Squeeze” periods sometimes take too long to setup (something that was addressed by John and released in a new indicator, the Squeeze Pro, but even that is still slowish) and that the momentum oscillator was also a bit slow. They used a linear regression formula to track momentum, which can lag considerably at times. Collectively, this meant that getting into moves a few candles late was not uncommon or someone solely trading squeeze setups could have missed very good trade opportunities.
To improve on this, I present, the Trading Made Easy Pressure Oscillator. This more accurately identifies when volatility is reducing and the trading range is likely to contract, increasing the “pressure” on the price. This is often marked several candles before a “Squeeze” has started. To identify these ranges, I applied a 21-period exponential moving average to the Bollinger Bands Width indicator (BBW). As mentioned above, the Bollinger Bands measure the 2x standard deviation of price, typically based on a 20-period SMA. When the BBs expand, it marks periods of high volatility, when they contract, conversely, periods of low volatility. Therefore, applying an EMA to the BBW indicator allows us to confidently mark when volatility has slowed down earlier than traditional methods. The second improvement I made was using the Absolute Price oscillator instead of a linear regression-style oscillator. The APO is very similar to a MACD, it measures the difference between two exponential moving averages, here the 8 and 21 (Fibonacci EMAs). However, I find the APO to be smoother than the MACD, yet more reactive than the linear regression-style oscillators to get you into moves earlier.
Uses:
1) Buying before a bigger than expected move. This is especially relevant for options traders since theta decay will often eat away much of our profits while we wait for a large enough price move to offset the time decay. Here, we buy a call option/shares when the momentum oscillator matches the longer-term trend (i.e. the APO crosses over the zero line when price is above the 200-day EMA, and vice versa for puts/shorting the stock). This coincides with Dr. Elder’s Triple Screen Trading System, that we are aligning ourselves with the path of least resistance. We want to do this when price is currently in an increasing pressure situation (i.e. volatility is contracting) to make sure we are buying an option when premium and Implied Volatility is low so we can get a better price and have a better risk to reward ratio. Low volatility is denoted by a purple dot, high volatility a blue dot along the midline of the indicator. A scalper or short-term swing trader may look to exit when the blue dots turn purple signalling a likely end to a move. A longer-term trend trader can look to other exit scenarios, such as a cross of the oscillator below the zero line, signalling to go short, or using a moving average as a trailing stop.
2) Sell premium after a larger than expected move has finished. After a larger than expected move has completed (a series of blue dots is followed by a purple dot), use this time to sell theta-driven options strategies such as straddles, strangles, iron condors, calendar spreads, or iron butterflies, anything that benefits from contracting volatility and stagnating prices. This is useful here since reducing volatility typically means a contraction of prices and the reduced likelihood of a move outside of the normal range.
3) Divergences. This indicator is sensitive enough to highlight divergences. I personally don’t use it as such as I prefer to trend trade vs. reversion trade. Use at your own risk, but they are there.
In summary, this indicator improves upon the famous Squeeze indicator by increasing the speed at which periods of consolidation are marked and trend identification. I hope you enjoy it.
FunctionBlackScholesLibrary "FunctionBlackScholes"
Some methods for the Black Scholes Options Model, which demonstrates several approaches to the valuation of a European call.
// reference:
// people.math.sc.edu
// people.math.sc.edu
asset_path(s0, mu, sigma, t1, n) Simulates the behavior of an asset price over time.
Parameters:
s0 : float, asset price at time 0.
mu : float, growth rate.
sigma : float, volatility.
t1 : float, time to expiry date.
n : int, time steps to expiry date.
Returns: option values at each equal timed step (0 -> t1)
binomial(s0, e, r, sigma, t1, m) Uses the binomial method for a European call.
Parameters:
s0 : float, asset price at time 0.
e : float, exercise price.
r : float, interest rate.
sigma : float, volatility.
t1 : float, time to expiry date.
m : int, time steps to expiry date.
Returns: option value at time 0.
bsf(s0, t0, e, r, sigma, t1) Evaluates the Black-Scholes formula for a European call.
Parameters:
s0 : float, asset price at time 0.
t0 : float, time at which the price is known.
e : float, exercise price.
r : float, interest rate.
sigma : float, volatility.
t1 : float, time to expiry date.
Returns: option value at time 0.
forward(e, r, sigma, t1, nx, nt, smax) Forward difference method to value a European call option.
Parameters:
e : float, exercise price.
r : float, interest rate.
sigma : float, volatility.
t1 : float, time to expiry date.
nx : int, number of space steps in interval (0, L).
nt : int, number of time steps.
smax : float, maximum value of S to consider.
Returns: option values for the european call, float array of size ((nx-1) * (nt+1)).
mc(s0, e, r, sigma, t1, m) Uses Monte Carlo valuation on a European call.
Parameters:
s0 : float, asset price at time 0.
e : float, exercise price.
r : float, interest rate.
sigma : float, volatility.
t1 : float, time to expiry date.
m : int, time steps to expiry date.
Returns: confidence interval for the estimated range of valuation.
probability_of_touchBased on historical data (rather than theory), calculates the probability of a price level being "touched" within a given time frame. A "touch" means that price exceeded that level at some point. The parameters are:
- level: the "level" to be touched. it can be a number of points, percentage points, or standard deviations away from the mark price. a positive level is above the mark price, and a negative level is below the mark price.
- type: determines the meaning of the "level" parameter. "price" means price points (i.e. the numbers you see on the chart). "percentage" is expressed as a whole number, not a fraction. "stdev" means number of standard deviations, which is computed from recent realized volatlity.
- mark: the point from which the "level" is measured.
- length: the number of days within which the level must be touched.
- window: the number of days used to compute realized volatility. this parameter is only used when "type" is "stdev".
- debug: displays a fuchsia "X" over periods that touched the level. note that only a limited number of labels can be drawn.
- start: only include data after this time in the calculation.
- end: only include data before this time in the calculation.
Example: You want to know how many times Apple stock fell $1 from its closing price the next day, between 2020-02-26 and today. Use the following parameters:
level: -1
type: price
mark: close
length: 1
window:
debug:
start: 2020-02-26
end:
How does the script work? On every bar, the script looks back "length" days and sees if any day exceeded the "mark" price from "length" days ago, plus the limit. The probability is the ratio of such periods wherein price exceeded the limit to the total number of periods.
Options Theoritcal PriceThis script is useful as a quick glance for checking the theoritcal price of the Call and Put option strike.
Spot price is automatically derived from live market.
Enter the strike price and IV value.
For NSE stocks, use 6% as risk free rate if not sure.
Option Expirations - Equities, Indexes, VIX OPEX VIXperationShows monthly and quarterly expirations for Equities, Indexes, & VIX. OPEX, VIXEX, Vixperation.
options_expiration_and_strike_price_calculatorLibrary "options_expiration_and_strike_price_calculator"
TODO: add library description here
fun()
this is a library to help calculate options strike price and expiration that you can add to a script i use it mainly for symbol calulation to place orders to buy options on TD ameritrade so it will be set up to order options on TD ameritrade using json order placer and webhook it fills in the area in the json under symbol i suggest manually adding the year it should look like this is an example of an order to buy 10 call options using json through td ameritrade api
"complexOrderStrategyType": "NONE",
"orderType": "LIMIT",
"session": "NORMAL",
"price": "6.45",
"duration": "DAY",
"orderStrategyType": "SINGLE",
"orderLegCollection":
}
Monthly Options Expiration 2022Monthly options expiration for the year 2022.
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 2022 in advance and all the best traders.
Weekly Put SaleWeekly Put Sale
This study is a tool I use for selling weekly puts at the suggested strike prices.
1. The suggested strike prices are based on the weekly high minus an ATR multiple which can be adjusted in the settings
2. You can also adjust the settings to Monthly strike prices if you prefer selling options further out
3. I suggest looking for Put sale premium that is between 0.25% to 0.75% of the strike price for weekly Puts and 1% to 3% of the strike price for monthly Puts
Disclaimers: Selling Puts is an advanced strategy that is risky if you are not prepared to acquire the stock at the strike price you sell at on the expiration date. You must make your own decisions as you will bear the risks associated with any trades you place. To sum it up, trading is risky, and do so at your own risk.
Bank Nifty strike price 2/3σ Calculates the strike prices for the Bank Nifty index in steps of 50 and marks the 2 and 3 sigma price levels.
vol_bracketThis simple script shows an "N" standard deviation volatility bracket, anchored at the opening price of the current month, week, or quarter. This anchor is meant to coincide roughly with the expiration of options issued at the same interval. You can choose between a manually-entered IV or the hv30 volatility model.
Unlike my previous scripts, which all show the volatility bracket as a rolling figure, the anchor helps to visualize the volatility estimate in relation to price as it ranges over the (approximate) lifetime of a single, real contract.
portfolio_strikesA simple script for keeping track of your options portfolio. Basically, you can write one line of code per strategy (single, vertical, or strangle) to keep a line drawn on the underlying's chart, at the strike price, from the current bar until expiration. See the comments at the top of the code for more explanation.
Binary Option Strategy Tester with MartingaleIn Binary options, strategy testing is a bit different. The script is just a try to test Binary options strategies.
Assumption:
We are opening position at next candle after signal come
We are taking the position at opening price
Our call will be profitable if we get a green candle and put will be profitable if we get a red candle
We can open only one trade at a time. So if we are in trade, subsequent signals will be ignored.
The script is not counting your profit or loss, it just counting the winning and losing trades.
Input Options:
Choose long only or short only test. Default is both.
You can continue your trade with Martingale Level, up to 5. Default is 1 (no Martingale)
You can choose Martingale trade type
SAME: if call subsequent trade will be call only and vice versa
OPPOSITE: if call subsequent trade will be put
FOLLOW CANDLE COLOR: Subsequent trade will follow previous candle color
OPPOSITE CANDLE COLOR: Subsequent trade will opposite of previous candle color
You can choose trading session to test. Default is false.
The strategy is taken from Vdub Binary Options SniperVX v1 (by @vdubus) . I have deleted extra parts and kept only the necessary part.
Without Martingale
Result Table
With Martingale
I am very new to Pine script, so waiting for your comments and review.
pricing_tableThis script helps you evaluate the fair value of an option. It poses the question "if I bought or sold an option under these circumstances in the past, would it have expired in the money, or worthless? What would be its expected value, at expiration, if I opened a position at N standard deviations, given the volatility forecast, with M days to expiration at the close of every previous trading day?"
The default (and only) "hv" volatility forecast is based on the assumption that today's volatility will hold for the next M days.
To use this script, only one step is mandatory. You must first select days to expiration. The script will not do anything until this value is changed from the default (-1). These should be CALENDAR days. The script will convert to these to business days for forecasting and valuation, as trading in most contracts occurs over ~250 business days per year.
Adjust any other variables as desired:
model: the volatility forecasting model
window: the number of periods for a lagged model (e.g. hv)
filter: a filter to remove forecasts from the sample
filter type: "none" (do not use the filter), "less than" (keep forecasts when filter < volatility), "greater than" (keep forecasts when filter > volatility)
filter value: a whole number percentage. see example below
discount rate: to discount the expected value to present value
precision: number of decimals in output
trim outliers: omit upper N % of (generally itm) contracts
The theoretical values are based on history. For example, suppose days to expiration is 30. On every bar, the 30 days ago N deviation forecast value is compared to the present price. If the price is above the forecast value, the contract has expired in the money; otherwise, it has expired worthless. The theoretical value is the average of every such sample. The itm probabilities are calculated the same way.
The default (and only) volatility model is a 20 period EWMA derived historical (realized) volatility. Feel free to extend the script by adding your own.
The filter parameters can be used to remove some forecasts from the sample.
Example A:
filter:
filter type: none
filter value:
Default: the filter is not used; all forecasts are included in the the sample.
Example B:
filter: model
filter type: less than
filter value: 50
If the model is "hv", this will remove all forecasts when the historical volatility is greater than fifty.
Example C:
filter: rank
filter type: greater than
filter value: 75
If the model volatility is in the top 25% of the previous year's range, the forecast will be included in the sample apart from "model" there are some common volatility indexes to choose from, such as Nasdaq (VXN), crude oil (OVX), emerging markets (VXFXI), S&P; (VIX) etc.
Refer to the middle-right table to see the current forecast value, its rank among the last 252 days, and the number of business days until
expiration.
NOTE: This script is meant for the daily chart only.
vertical_pricer
USAGE
1. Select the type of contract (call or put), the long strike, and the width.
2. Select the volatility model
3. The standard deviation is shown, enter it into the input.
The tool gives a theoretical price of a vertical spread, based on a
historical sample. The test assumes that a spread of equal width was sold on
every prior trading day at the given standard deviation, based on the
volatility model and duration of the contract. For example, if the 20 dte
110 strike is presently two standard deviations based on the 30 period
historical volatility, then the theoretical value is the average price all
2SD (at 20 dte) calls upon expiration, limited by the width of the spread and
normalized according to the present value of the underlying.
Other statistics include:
- The number of spreads in the sample, and percentage expired itm
- The median value at expiration
- The Nth percentile value of spreads at expiration
- The number of spreads that expired at max loss
Check the script comments and release notes for further updates, since Tradingview doesn't allow me to edit this description.
strangle_pricerUsage:
1. Set the put and call strike inputs to values of your choosing.
2. Select "days to expiration".
3. Set the put and call standard deviations using the output table.
The indicator is meant help price a strangle using historical data and a volatility model. By default, the model is an ewma-method historical volatility. After selecting strikes and standard their corresponding standard deviation, theoretical values and probabilities will be shown in the table. The script is initialized with -1 for several inputs, and won't show any data until these are adjusted.
The theoretical values shown assume a strangle was bought or sold on every historical bar, and averaging their value at expiration.
For example, if you choose the $50 call and $40 put when the underlying is at $45 and there are 30 days until expiration, suppose the volatility is N and
these strikes correspond to M standard deviations. Input those and the resulting theoretial values shown will be based on opening a 30 dte call and put at M standard deviations with respect to the volatility at each bar.
- Past volatility forecasts are plotted in blue, and hidden by default.
- The current volatility forecast is drawn as a blue line.
- The put and call strikes are drawn as red lines.
This indicator is only meant for the daily chart!
Since I won't be able to edit this description later, also check the release notes and script comments for important changes.
Weekly Options Expiry CandleThis script shows weekly expiry candle on daily chart. In weekly expiry, week starts on Friday and end on next Thursday.
How the candle is constructed:
Open= Open price of Friday, if Friday is a holiday, next available open price
High= Highest high price of Friday, Monday, Tuesday, Wednesday, Thursday
Low= Lowest low price of Friday, Monday, Tuesday, Wednesday, Thursday
Close=Close price of Thursday, if Thursday is a holiday, previously available close price
I am very new to Pine script, so waiting for your comments and review.
vol_rangesThis script shows three measures of volatility:
historical (hv): realized volatility of the recent past
median (mv): a long run average of realized volatility
implied (iv): a user-defined volatility
Historical and median volatility are based on the EWMA, rather than standard deviation, method of calculating volatility. Since Tradingview's built in ema function uses a window, the "window" parameter determines how much historical data is used to calculate these volatility measures. E.g. 30 on a daily chart means the previous 30 days.
The plots above and below historical candles show past projections based on these measures. The "periods to expiration" dictates how far the projection extends. At 30 periods to expiration (default), the plot will indicate the one standard deviation range from 30 periods ago. This is calculated by multiplying the volatility measure by the square root of time. For example, if the historical volatility (hv) was 20% and the window is 30, then the plot is drawn over: close * 1.2 * sqrt(30/252).
At the most recent candle, this same calculation is simply drawn as a line projecting into the future.
This script is intended to be used with a particular options contract in mind. For example, if the option expires in 15 days and has an implied volatility of 25%, choose 15 for the window and 25 for the implied volatility options. The ranges drawn will reflect the two standard deviation range both in the future (lines) and at any point in the past (plots) for HV (blue), MV (red), and IV (grey).
Trade Vertex - Bank Nifty Volume IndicatorNSE:BANKNIFTY
We all know that the value of an Bank Nifty is derived from top banking sector underlying stocks.
The value of Bank Nifty is calculated from free float market capitalization.
Using the same formula, I made an indicator on the bases of weighted volume of each stock.
This indicator will help you to plot Volume on Bank Nifty.
Intrangle - Straddle / StrangleIntrangle is an indicator to assist Nifty / Bank Nifty Option Writers / Sellers to identify the PE / CE legs to Sell for Straddle and Strangle positions for Intraday.
Basic Idea : (My Conclusion for making this Indicator)
1) Last 10 Years data says Nifty / Bank Nifty More than 66% of times Index are sideways or rangebound (within 1% day) .
2) Mostly, First one hour high and low working as good support and resistance.
Once First one hour complete, this indicator will show Strangle High (CE), Strangle Low (PE) and Straddle (CE/PE).
Straddle:
If you want to do straddle strategy, sell at the money strike (CE/PE) when price comes near to the straddle line (black line),
Strangle:
If you want to do Strangle strategy, sell Strangle High (CE) and Strangle Low (PE) when price comes near to the straddle line (black line). Both Strangle High and Low will be out of the money when price near to the straddle line (black line).
Adjustment: option adjustment to be done based on the price movement. Adjustment purely up to the user / trader.
Note1: If price not comes to near straddle line after first hour, better to stay light…
Note2: If first hour not giving wide High / Low, don’t use strangle strike based on this indicator. Straddle can be done any day with require adjustment / hedge. This Indicator is purely for education purpose, user / trader has to be back-tested before their start using it.
This indicator will work in Nifty / Bank Nifty only. Best Time frames are 3/5/15 Mins. This is purely made for Intraday
Happy Trading 😊
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.
