Visible Range Mean Deviation Histogram [LuxAlgo]This script displays a histogram from the mean and standard deviation of the visible price values on the chart. Bin counting is done relative to high/low prices instead of counting the price values within each bin, returning a smoother histogram as a result.
Settings
Bins Per Side: Number of bins computed above and below the price mean
Deviation Multiplier: Standard deviation multiplier
Style
Relative: Determines whether the bins length is relative to the maximum bin count, with a length controlled with the width settings to the left.
Bin Colors: Bin/POC Lines colors
Show POCs: Shows point of controls
Usage
Histograms are generally used to estimate the underlying distribution of a series of observations, their construction is generally done taking into account the overall price range.
The proposed histogram construct N intervals above*below the mean of the visible price, with each interval having a size of: σ × Mult / N , where σ is the standard deviation and N the number of Bins per side and is determined by the user. The standard deviation multipliers are highlighted at the left side of each bin.
A high bin count reflects a higher series of observations laying within that specific interval, this can be useful to highlight ranging price areas.
POCs highlight the most significant bins and can be used as potential support/resistances.
스크립트에서 "range"에 대해 찾기
Logarithmic Average True Range
In the case of ATR, it is known to represent volatility by simply expressing the price range.
However, of course, as the value of an asset increases, it is not possible to simply compare it with a numerical value, so the ATR was expressed as a percentage using a logarithmic function.
This way we can see the volatility even with ATR.
ATR의 경우 단순하게 가격의 범위만을 표현하여 변동성을 나타낸다고 알려져있습니다.
하지만 당연하게도 자산의 가치가 높아질수록 단순하게 수치만으로 비교할 수는 없고, 따라서 로그함수를 사용해 %로 ATR을 표현하였습니다.
이렇게 표현하면 ATR로도 변동성을 볼 수 있습니다.
Volatility OscillatorThis tool displays relative volatility and directional trend. Excellent way to pickup diversions and reversals. Length can be lowered to 11 or 13 in settings to show price range.
Can be used to identify patterns such as parallel channels and likely direction of price action as pictured below.
Daily Risk RangesThis indictor creates daily Risk Ranges using historical volatility, volatility skew and vol-of-vol.
Volume DensityA group of two indicators:
The "Volume Density" shows how much volume was thrown out relative to the covered price range.
The "Volume Density Bars" shows the same, but with colour on top of the bar chart.
[RS]Detrended Percent Price Over Average on RangeExperimental:
Detrended Price oscillator from price against the average inside the range.
Time rangesThis script visualizes the different time sessions during the day.
The time ranges are set to the default Frankfurt, London, NY, Sydney and Tokyo, but can be
freely modified and turned off (I personally use to display only Tokyo and NY).
If you are a day trader, e.g. you trade with the Market Makers, this tool is a "must have".
It also displays the day of the week, which can be set off as well.
vitelot/yanez/Vts Sept 2019
PS I chose this script to belong to the "volatility" category since it can be used to highlight the Asian session,
and there was no suitable category available.
New median and range expansionIndicator for starting chasing the trend early.
Indicates new higher or lower candle median in conjunction with greater range.
Average True Range (ATR %) Stop Loss CalculatorThis indicator takes the average of a series of ATR to calculate what I would consider an optimum stop loss placement represented in percentage (read below for full overview).
While the data is plotted what is most helpful are the actual numbers presented and for my charts I remove most of the plotting.
This indicator is most helpful on the daily timeframe but can be used for all timeframes such as the 4HR, 1HR or even 15M.
This indicator should not be used alone. It should be used in conjunction with proper price action analysis. It’s also a great indicator if you chart using Value Channels. Ideally you want your stop placement to be below at least one core Value Channel boundary range. In addition to standard support and resistance and some key moving averages the market respects. This also works best when trading with the prevailing BIAS of the instrument (bull or bear).
Cryptos: Generally, that means you’re buying on retracements that fit the end of a structured move. The other option is using this in a clear up trending market where the pull backs are clearly being supported with buying.
FOREX: I built another indicator for FOREX search: ATRPIPS with SL
WTI: Helpful but I have different rules for when I trade WTI. I rely upon VCs and diagnal VCs much more when trading this.
Equities: Helpful but with the increase of volatility as well as uncertainty of Bias of the market-- this should be used as more of a guide than
What is most important is the actual percentage numbers but I've found graphing 1-3 of the actual ATRs is helpful. The rest just uncheck the checkbox in the options.
Indicator Overview:
Value 1 - 3 Period ATR (maroon)
Value 2 - 7 Period ATR (green)
Value 3 - 30 Period ATR (blue)
Value 4 - 90 Period ATR (blue, bold)
Value 5 - 1 Period ATR (green)
Value 6 - 1 Period ATR (red)
Value 6 – Prime Stop Loss Placement (maroon). This is the average of all above ATRs multiplied by 1.5
Value 7 - Move Left (red). Experimental value. This is the difference between (prime stop loss) and 1 day period move. Two ways to use this value. Use as a tighter stop loss placement. The other option is to use as a retrace target for purchase and using the Prime Stop Placement value as you’re stop loss.
All ATRs use the LOW price of the period. After testing both the low and close I’ve settled on the low to capture the most volatility you will typically experience.
Once again, this indicator should be used in conjunction with your proven trade system.
Also, by knowing what the values are within the indicator you could just eye ball what would be the best stop placement depending on the ATR or 1 or 2 ATRs you find most represent the volatility of what you are trading.
I will be expanding on this indicator by bringing in average measured moves as well as volume analysis and most likely with color changes and modifications.
Background:
While using and refining my trade system I've noticed that most moves happen in 3 periods. So we start there. The 7 period is good for a 24 hour market such as crypto (although weekend trading can be a hit or miss) and to some extent FOREX. The longer periods of 30 & 90 are to smooth out the data set. The final value of the 1 period is to bring a little more recency to the calculation.
Why multiply the average by 1.5? I've found in my own trading and system I built to be the best placement (in conjunction with VCs) to ensure you're stop isn't to close and is within the instrument you are trading volatility .
I'm looking at making this more intelligent as well as take into account volume and structured moves.
ATR 0.5 & 0.7 rangesIt good to look to ATR on intraday trading.
According to our team research only 4.8% of days security goes out of their ATR.
So we developed ATR indicator which shows Daily ATR ranges on smaller time frames.
When price crosses 70% of previous day ATR is good to look for signal to trade backward.
0.382 Fibonacci Line of Trailing 1-year Price RangeYou may try adding this Line to your daily charts. It represents the 0.382 Fibonacci level of the trailing 1-year Price Range.
If price is above this line, then it is in Bullish Territory and long entries can be looked for.
According to backtesting I've done, price being above the 0.382 Fibonacci and/or the 200d sma are the 2 best determinants of
qualifying an equity to be in Bullish Territory on the daily chart.
SD - Developing Central Pivot RangeThis script implements a developing version of Central Pivot Range.
Inputs:
Developing 'CPR' resolution - Either D (Daily), W (Weekly), M (Monthly) or 12M (Yearly). The default value is M.
Otekura Range Trade Algorithm [Tradebuddies]The Range Trade Algorithm calculates the levels for Monday.
On the chart you will see that the Monday levels will be marked as 1 0 -1.
The M High level calculates Monday's high close and plots it on the screen.
M Low calculates the low close of Monday and plots it on the screen.
The coloured lines on the screen are the points of the range levels formulated with fibonacci values.
The indicator has its own Value table. The prices of the levels are written.
Potential Range breakout targets tell prices at points matching the fibonacci values. These are Take profit or reversal points.
Buy and Sell indicators are determined by the range breakout.
Users can set an alarm on the indicator and receive direct notification with their targets when a new range occurs.
Fib values are multiplied by range values and create an average target according to the price situation. These values represent an area. Breakdown targets show that the target is targeted until the area.
Trend dealing rangeHi all!
This indicator will help you find the current dealing range according to the trend. If the trend is bullish the indicator will look for a range between the latest low pivot to the latest high pivot. Vice versa in a bearish trend. The code uses my new library 'FibonacciRetracement' () that has the same code as my other indicator 'Fibonacci retracement' ().
It plots 5 lines from the low to the high and labels them 0 %, 25 %, 50 %, 75 % and 100 %. A trendline can be drawn between the two pivots (dashed and gray by default). Firstly you can define the pivot lengths used, this setting is in the 'Market structure' section but it also applies to the dealing range (it defaults to 5 (left) and 2 (right)). You can show prices if you want to (shown in parantheses, off by default). You can change the default labels position (from left) and the font size (12 by default and higher up it's 7 for market structure text). Lastly you can change the alert frequency (defaults to once per bar close) and the price that has to enter a zone for alert to be sent. 'Close' means that the closing price (or current price if you change the alert frequency to all or once per bar) has to be inside the zone and 'Wick' means that the entire candle needs to be inside the zone.
It's very useful for traders to find the current dealing range and this indicator will help you to do so.
So, this indicator will give you the dealing range and basic market structure through break of structures and change of characters.
If you have any input or suggestions on future features or bugs, don't hesitate to let me know!
Best of trading luck!
Daily Distribution Range - Amplitude Probability DashboardSummary
This indicator provides a powerful statistical deep-dive into an asset's daily distribution range, amplitude and volatility. It moves beyond simple range indicators by calculating the historical probability of a trading day reaching certain amplitude levels.
The results are presented in a clean, interactive dashboard that highlights the current day's performance in real-time, allowing traders to instantly gauge if the current volatility is normal, unusually high, or unusually low compared to history.
This tool is designed to help traders answer a critical question: "Based on past behavior, what is the likelihood that today's range will be at least X%?"
Key Concepts Explained
1. Daily Amplitude (%)
The indicator first calculates the amplitude (or range) of every historical daily candle and expresses it as a percentage of that day's opening price.
Formula: (Daily High - Daily Low) / Daily Open * 100
This normalization allows for a consistent volatility comparison across different price levels and time periods.
2. Cumulative Probability Distribution
Instead of showing the probability of a day's final range falling into a small, exclusive bin (e.g., "exactly between 1.0% and 1.5%"), this indicator uses a cumulative model. It answers the question, "What is the probability that the daily range will be at least a certain value?"
For example, if the row for "≥ 2%" shows a probability of 12.22%, it means that historically, 12.22% of all trading days have had a total range of 2% or more. This is incredibly useful for risk management and setting realistic expectations.
Core Features
Statistical Dashboard: Presents all data in a clear, easy-to-read table on your chart.
Cumulative Probability Model: Instantly see the historical probability of the daily range reaching or exceeding key percentage levels.
Real-Time Highlight & Arrow (→): The dashboard isn't just historical. It actively tracks the current, unfinished day's amplitude and highlights the corresponding row with a color and an arrow (→). This provides immediate context for the current session's price action.
Timeframe Independent: You can use this indicator on any chart timeframe (e.g., 5-minute, 1-hour, 4-hour), and it will always fetch and calculate using the correct daily data.
Clean & Professional UI: Features a monospace font for perfect alignment and a simple, readable design.
Fully Customizable: Easily adjust the dashboard's position, text size, and the amount of historical data used for the analysis.
How to Use & Interpret the Data
This indicator is not a trading signal but a powerful tool for statistical context and decision-making.
Risk Management: If you see that an asset has only a 5% historical probability of moving more than 3% in a day, you can set stop-losses more intelligently and avoid being overly aggressive with your targets on a typical day.
Setting Profit Targets: Gauge realistic intra-day profit targets. If a stock is already up 2.5% and has historically only moved more than 3% on rare occasions, you might consider taking profits.
Options Trading: Volatility is paramount for options. This tool helps you visualize the expected range of movement, which can inform decisions on strike selection for strategies like iron condors or straddles.
Identifying Volatility Regimes: Quickly see if the current day is a "normal" low-volatility day or an "abnormal" high-volatility day that could signal a major market event or trend initiation.
Dashboard Breakdown
→ (Arrow): Points to the bin corresponding to the current, live day's amplitude.
Amplitude Level: The minimum amplitude threshold. The format "≥ 1.5%" means "greater than or equal to 1.5%".
Days Reaching Level: The raw number of historical days that had an amplitude equal to or greater than the level in the first column.
Prob. of Reaching Level (%): The percentage of total days that reached that amplitude level (Days Reaching Level / Total Days Analyzed).
Settings
Position: Choose where the dashboard appears on your chart.
Text Size: Adjust the font size for better readability on your screen resolution.
Max Historical Days to Analyze: Set the lookback period for the statistical analysis. A larger number provides a more robust statistical sample but may take slightly longer to load initially.
Enjoy this tool and use it to add a new layer of statistical depth to your trading analysis.
