Indicator
Indicator
vol_boxA simple script to draw a realized volatility forecast, in the form of a box. The script calculates realized volatility using the EWMA method, using a number of periods of your choosing. Using the "periods per year", you can adjust the script to work on any time frame. For example, if you are using an hourly chart with bitcoin, there are 24 periods * 365 = 8760 periods per year. This setting is essential for the realized volatility figure to be accurate as an annualized figure, like VIX.
By default, the settings are set to mimic CBOE volatility indices. That is, 252 days per year, and 20 period window on the daily timeframe (simulating a 30 trading day period).
Inside the box are three figures:
1. The current realized volatility.
2. The rank. E.g. "10%" means the current realized volatility is less than 90% of realized volatility measures.
3. The "accuracy": how often price has closed within the box, historically.
Inputs:
stdevs: the number of standard deviations for the box
periods to project: the number of periods to forecast
window: the number of periods for calculating realized volatility
periods per year: the number of periods in one year (e.g. 252 for the "D" timeframe)
Indicator
rv_iv_vrpThis script provides realized volatility (rv), implied volatility (iv), and volatility risk premium (vrp) information for each of CBOE's volatility indices. The individual outputs are:
- Blue/red line: the realized volatility. This is an annualized, 20-period moving average estimate of realized volatility--in other words, the variability in the instrument's actual returns. The line is blue when realized volatility is below implied volatility, red otherwise.
- Fuchsia line (opaque): the median of realized volatility. The median is based on all data between the "start" and "end" dates.
- Gray line (transparent): the implied volatility (iv). According to CBOE's volatility methodology, this is similar to a weighted average of out-of-the-money ivs for options with approximately 30 calendar days to expiration. Notice that we compare rv20 to iv30 because there are about twenty trading periods in thirty calendar days.
- Fuchsia line (transparent): the median of implied volatility.
- Lightly shaded gray background: the background between "start" and "end" is shaded a very light gray.
- Table: the table shows the current, percentile, and median values for iv, rv, and vrp. Percentile means the value is greater than "N" percent of all values for that measure.
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Volatility risk premium (vrp) is simply the difference between implied and realized volatility. Along with implied and realized volatility, traders interpret this measure in various ways. Some prefer to be buying options when there volatility, implied or realized, reaches absolute levels, or low risk premium, whereas others have the opposite opinion. However, all volatility traders like to look at these measures in relation to their past values, which this script assists with.
By the way, this script is similar to my "vol premia," which provides the vrp data for all of these instruments on one page. However, this script loads faster and lets you see historical data. I recommend viewing the indicator and the corresponding instrument at the same time, to see how volatility reacts to changes in the underlying price. Indicator
Strategy
Strategy
Call / All Ratio ( C / A ) - NoldoFirst of all this script inspired by MagicEins' Put/Call-Ratio-Buschi script .
What is the Put-Call Ratio
The put-call ratio is an indicator ratio that provides information about relative trading volumes of an underlying security's put options to its call options. The put-call ratio has long been viewed as an indicator of investor sentiment in the markets, where a large proportion of puts to calls indicates bearish sentiment, and vice versa. Technical traders use the put-call ratio as an indicator of performance and as a barometer of overall market sentiment. Put-call ratios on broader indexes such as the S&P 500 are also used as more general gauges of market climate.
Put-Call Ratio Interpretation
One way to interpret the put-call ratio is to say that a higher ratio means it's time to sell and a lower ratio means it's time to buy, because when the ratio is high it suggests that people are either expecting or protecting more readily against a future decline in the price of the underlying. A Put-Call ratio between 0.5 and 1 is considered a sideways trend in the markets.
Some also view the Put-Call ratio as a contrarian indicator. Traders know that derivatives are used to do more than place bets; they are used as hedges and insurance. If there's a lot of insurance being placed to the sell side, it means traders are worried about prices falling.
Some traders buy when the put-call ratio is above 1, meaning the market is out of balance to the sell side, and sell when the put-call ratio is below 1, meaning the market is out of balance to the buy side. These traders are looking to make money on the correction. The interpretation of the ratio is left to the analyst's or trader's investment philosophy.
Reference : Investopedia (www.investopedia.com)
Let' s start.
In short, calls represent "bulls" and puts represent "bears".
Some analysts do the opposite,for trend reversals the choice is up to you.
I usually look at the opposite comments in commercial positions because I look at this flow angle neutral.
If you want to do the opposite, you must create Put / All Ratio.
So i created this ratio to observe easily movements under or over 0.50 area .
Or you can take the point close to 0.50 as a horizontal trend. Many more comments can be made.I have a few ideas about this, and I'm going to publish them soon . My best suggestion is that it covers a single bar and is very volatile, so you can look for averages and strong accelerations.
This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com
Stay tuned , best regards. Indicator
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