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Average Daily RangeRe-Re-upload! There are a handful of decent Average Daily Range indicators out there. Often they are built using Pinescript v2 (severely outdated) or have no customization or are "Closed Source" In this version, you can select two multipliers to display on chart Primary Mult - Large Green or Red crosses, by default set to 1 or 100% of ADR Secondary Mult - Small Aqua or Maroon crosses, by default set to 0.5 or 50% of ADR Cheers, EFX
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DasanC의
5
Advanced Forex SessionsEssential for ALL Forex Day Traders! Don't waste your time trading Forex Sessions with little to no volume or volatility! The Advanced Forex Sessions tool will search through all 4 sessions, tally up the total volume and ticks moved, and show you which session has the most movement. It will show you the two best sessions on chart and optionally color the background too. Configure the position & size of the Infographic table as well as custom Forex Session times and colors.
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DasanC의
25
Forex Trading SessionsThere are a million Forex Trading Session indicators out there, but I couldn't find one with all of the following requirements: 1. Automatically show the Sessions that actually affect the current pair (for instance, Tokyo session doesn't matter when trading EURGBP) 2. Editable colors or at the very least no distracting colors 3. Editable times for each exchange session 4. Unique indication of the start of a session vs the end of a session. (Sometimes, I don't notice a background going from Navy Blue to Black) This indicator has everything I could ever want in a Sessions Tool: Subdued default colors Editable colors Editable session ranges Obvious, but not obnoxious indication of start and stop Automatically hide irrelevant Sessions Cheers. EFX
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DasanC의
1
Bar StatisticsThis script calculates and displays some bar statistics. For the bar length statistics, it takes every length of upper or lower movements and calculates their average (with SD), median, and max. That way, you can see whether there is a bias in the market or not. Eg.: If for 10 bars, the market moved 2 up, then 1 down, then 3 up, then 2 down, and 2 up, the average up bars length would be at 2.33, while the average for the down length would be at 1.5, showing that upper movements last longer than down movements. For the range statistics, it takes the true range of each bar and calculates where the close of the bar is in relation to the true low of it. So if the closing of the bar is at 10.0, the low is at 9.0, and the high is at 10.2, the candle closed in the upper third of the bar. This process is calculated for every bar and for both closing prices and open prices. It is very useful to locate biasses, and they can you a better view of the market, since for most of the time a bar will open on an extreme and close on another extreme. Eg.: Here on the DJI, we can see that for most of the time, a month opens at the lower third (near the low) and closes at the upper third (near the high). We can also see that it is very difficult for a month to open or close on the middle of the candle, showing how important the first and the last day are for determining the trend of the rest of the month.
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EduardoMattje의
1
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.
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taylor_o의
4
Average Daily Range Fibonacci LevelsThe Average Daily Range is a simple concept, calculated as the difference between daily highs and lows averaged over some period. This indicator uses that range in conjunction with Fibonacci ratios to create zones centered on the day's open that tends to act as areas of support and resistance. The thicker White lines are the ADR levels; all other lines are the same value adjusted by the various Fibonacci values. A simpler version of this concept can be seen in my other script, Average Daily Range Zones, which does not include the Fibonacci ratio zones. Thanks to @Hank Hill for the original idea and TV for the feedback and support on the use of the security() function. Also thanks to @GoldenCross for the Fibonacci obsession.
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colejustice의
23
Average Daily Range ZonesThe Average Daily Range is a simple concept, calculated as the difference between daily highs and lows averaged over some period. This range is is overlaid and centered on the day's open, and tends to act as areas of support and resistance . This indicator provides two aggregation periods, creating a range that represents volatility in the ADR; a wider spread indicates greater recent volatility , and vice-versa. Thanks to @Hank Hill for the original idea and ToS script this is based on, and TV for the feedback and support on the use of the security() function.
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colejustice의
15
tr_volThis indicator shows the annualized volatility, computed using the ewma method. It also uses average true range (ATR) as the daily return, rather than the typical close-to-close percentage change. You can uncomment the "comparison" series to see how it compares to the standard deviation, daily log return method. The standard deviation method weights all periods equally and doesn't account for intra-day ranges, meaning it is less responsive to new information than the ewma method and doesn't weight large intra-day moves as heavily. The long-run median is also displayed. This feature sometimes fails if there are too many bars.
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taylor_o의
Ultimate Volatility Indicator [CC]The Ultimate Volatility Indicator was created by Richard Poster (Stocks and Commodities July 2021 pg 21) and this is a very simple but effective indicator. The idea behind volatility indicators is that when the indicator rises above a certain threshold then volatility is high enough and you can make a good amount of money riding the trend in the current direction and then exit when volatility drops below the threshold or until the underlying trend changes. I have included a threshold that you can change from the default but I would recommend trying out different values to see what works best for you. This indicator will let you know as soon as volatility increases and reacts very quickly. I have included strong buy and sell signals in addition to normal ones so darker colors are strong buy and sell signals and lighter colors are normal signals. Buy when the line turns green and sell when it turns red. Please let me know if you would like to see me publish any other indicators!
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cheatcountry의
5
CUSTOM intraday volatility chart clockChart clock showing an overview of the day's expected and actual intraday volatility. In white are only the expected volatility scores. The expected increase or decrease in volatility at any given hour of day compared to the average of the whole day's expected volatility. A 0.5 score two hours from now means that you can expect that hour to be 0.5% more volatile than the average of whole day's volatility. In blue are the actual or realized volatility scores; the difference between that hour's volatility and what was expected to be its volatility is displayed as a blue bar. If two three hours ago was expected to be a more volatile hour of the day but no movement occurred, a large down bar will print for that hour. Large swings of daily volatility (i.e. this month is much more or much less volatility than the last) will bias the clock usually only a little higher or lower, although historical volatility peaks/depressions will show the blue realized volatility score to be consistently high/low. If requested I can change the look of the indicator or add input settings for the input length of clock, which for now is set to 20 bars, which is an approximation of the last month's realized volatility.
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j1O9SB의
Session Volatility CalculatorHey traders! This script calculates the average volatility of trading sessions. You specify a start date, an end date, and a session time (eg. market open, Asian session etc) The script then scans through all the price action on your chart and calculates the average price movement during that specified period. What Is It For? I created this script for my own purposes when developing certain strategies and testing certain ideas. The purpose of this script is to give you an idea of how much price tends to move during certain times of day for certain markets. You could think of it as a "session's average true range". In crypto and forex this might be how much price tends to move on certain pairs during the Australian/Asian session, or the European session, or the overnight U.S. session etc. In stocks this might be how much a symbol tends to move during the first hour of the day or the last hour of the day. The point of calculating this information is for better understanding how markets move during certain times of day. It's not a perfect science obviously since some days can be wilder than others depending on what fundamental events are developing, but it's useful information to have for times when there are no expected volatility-inducing events. This info can help with optimizing targets and stop loss placement for certain day-trading strategies, and just generally getting an idea of what kinds of moves you might reasonably expect out of overnight positions or certain times of day etc - or at least that's what I use it for. Settings Hover your mouse over the "i" symbol to get more information on the script's settings, but here's a brief description: Start Date: The date to begin calculating from (set to 1000 by default so it scans the entire chart). End Date: The date to stop calculating (set to 2099 by default so it scans the entire chart) Time Session: This is the time session during the day that you want to analyze. Color Background: If turned on, this setting changes the background color to highlight the session. Indicator Values The indicator outputs a handful of values onto your chart. This is what the colors correspond to: Top-Right Box: The average price range during the given time of day over historical price action. Green Number: The recent session's highest price. Red Number: The recent session's lowest price. Purple Number: The recent session's price range (high - low). Orange Number: The recent session's range ÷ the average (outputs a relative % of the average).
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ZenAndTheArtOfTrading의
10
Historical Volatility Percentile FilterThis indicator provides a simple market regime filter for Historical Volatility. Depending on the strategy that you are using, it is useful to know how your strategy will perform at different ranges of volatility, as this can greatly impact your performance. For instance, some of my long-only mean reversion strategies will only take trades where the volatility percentile is not extremely high, as this can often indicate fundamental changes in the security or the start of a big market correction. Some strategies may work better when volatility is higher Feel free to use the following code along with your strategies to help improve performance and reduce the volatility of your gains in the long term.
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TraderHalai의
Does your trading pass the seasonality test?Are you consistently beating the standard "Buy and Hold" benchmark? Check your performance against the next most common strategy: Buy at the start of the holiday season and close in the new year. By default, the strategy starts with $100,000 and risks 25% of the account on each swing trade. Commission is set to be 0.5% of each trade. You can tweak the direction of trades by adjusting the first setting. Tweak the holding period by changing the Entry and Exit months. Red plot: Balance of account Orange plot: Equity of account
Pine Script™ 스트래티지
DasanC의
1
Kolmogorov-Smirnov TestThe Kolmogorov–Smirnov test aims to tell you if the distribution of prices (or log returns) tends to follow a normal distribution or not. You can read about this test on Wikipedia . It seems to be a basic but trusted measure in the quantitative trading world. When KS-t columns are blue, then it's safe to assume normal distribution. When they are red, the normal distribution assumption is proven wrong by the magnitude of the KS-t value. In the plotting tab of the script, you can activate another option that displays the probability of the distribution being actually normal. It's values are bounded between 0 and 1, like all probabilities. This test can be useful when using statistical concepts for trading markets, like standard deviations, z-scores, etc because they all depend on the assumption of prices (or log returns) being normaly distributed. If you see something wrong, don't hesitate to message me. Happy trading to all.
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Hachann의
3