Interquartile Range BandsInterquartile Range Bands script.
This indicator was originally developed by Alex Orekhov at his home.
The idea based on the interquartile range en.wikipedia.org
If price breaks out from the bands then it is `outlier` price.
After breakouts price always returns to its median.
Watch squeeze/expansion periods.
Anyway use it as a supplement to the other indicators.
I will glad to get your feedback.
Cerca negli script per "range"
Volume Weighted Average Range Bands [DW]This is an experimental study designed to identify the underlying trend bias and volatility of an instrument over any custom interval TradingView supports.
First, reset points are established at points where the opening price of the interval changes.
Next, Volume Weighted Average Price (VWAP) is calculated. It is the cumulative sum of typical price times volume divided by the cumulative volume. The cumulation starts over upon each reset point.
After that, Volume Weighted Average Range (VWAR) is calculated. The formula structure is the same as VWAP, except using range rather than typical price.
Lastly, the bands are calculated by multiplying the VWAR by the specified multiplier (approximate Golden Ratio by default) and by 1 through 5, then adding to and subtracting from the VWAP.
Custom Bar Colors are included.
Average Daily Range - without open barBasic ADR-indicator that is showing the daily range on lower timeframes as well, without using the current open daily bar for calculation.
Also plots as line in a separate indicator window. Updates displayed value when hovering over the candles on the chart to see historical Numbers.
MTF Previous Open/Close/RangeThis indicator will simply plot on your chart the Daily/Weekly/Monthly previous candle levels.
The "Auto" mode will allow automatic adjustment of timeframe displayed according to your chart.
Otherwise you can select manually.
Indicator plots the open/close and colors the high-low range area in the background.
Hope this simple indicator will help you !
You can check my indicators via my TradingView's Profile : @PRO_Indicators
Up/Down RangeMeasuring the difference between the highs and lows from the average, this measure can serve as a proxy for the volatility, just like the ATR.
However, it breaks the range into an upward and a downward moving component, so it also gives information about the current trend direction.
In fact, I turned it into a momentum indicator here:
Function Frequency of RangeFunction to derive the frequency a range is visited over time.
returns value (0 to 1) percent multiplier
[RS]Multiple Time Frame Range Swing V0EXPERIMENTAL:
(republishing, previous had alot of lines crowding the chart)
MTF Range Swing.
GS_Opening-Range-V1ORB Opening Range Breakout 5 and 3O Minute Indicator
Kudos to Chris Moody for the inspiration to create my first indicator.
The 5 and 30 run together at times but the scalp would be when the equity breaks the 5 go long or short for the scalp and when it breaks the 30 go for the swing trade.
[RS][ALPHA]Predictive Range Analysis V0this code is untested use at your own risk...
applying timed price change over the square to predict price expansion or contraction of the range, it is not predicting the future price only the range that is possible for the price to be in within a margin of error of possibility, with that said i think its very unlikely for price to fall outside the range, due to virtual constraint applied by the auto corrective/cyclical nature of price action.
Average True Range Trailing Stops ColoredAverage True Range Trailing Stops Strategy, by Sylvain Vervoort
The related article is copyrighted material from Stocks & Commodities Jun 2009
Average True Range Trailing Stops, by Sylvain Vervoort Average True Range Trailing Stops, by Sylvain Vervoort
The related article is copyrighted material from Stocks & Commodities Jun 2009
5 Day Average Daily RangeSimple 5 day average range, adjust to true price movement rather than fixed levels.
-Enjoy
RANGEThe indicator predicts the lower and upper limits of the next bar. The principle of constructing the indicator: the volatility of candles is analyzed, then it is averaged and reduced to a stationary series to obtain a normal distribution. For a stationary series, the standard deviation for the period is analyzed, and the number of standard periods multiplied by the Student's coefficient is added to the average value of volatility. The next term of the stationary series is predicted as the previous term plus the difference between the previous term of the stationary series and the pre-existing one. After that, the stationary series is transformed to a non-stationary one, and thus the upper and lower limits are obtained.
The upper and lower limits are determined with a confidence probability of 0.95. The places where the lows and highs go beyond their limits are marked with colored circles above and below the candles. In the upper right corner there is a summary table of the indicator metrics, which contains the following metrics: 1. current upper and lower limits 2. How much does the current price differ in % from the upper and lower ranges 3. A metric that considers the standard error between the limits of the indicator and the highs and lows 4. The percentage of accuracy of the indicator 5. The correlation coefficient between the upper and lower limit and, respectively, the maxima and minima
The periods are specified separately for the minimum and maximum. Depending on the tasks, you can iterate through the periods to reduce the error or increase the correlation coefficient
