Price Cross Time Custom Range Interactive█ OVERVIEW
This indicator was a time-based indicator and intended as educational purpose only based on pine script v5 functions for ta.cross() , ta.crossover() and ta.crossunder() .
I realised that there is some overlap price with the cross functions, hence I integrate them into Custom Range Interactive with value variance and overlap displayed into table.
This was my submission for Pinefest #1 , I decided to share this as public, I may accidentally delete this as long as i keep as private.
█ INSPIRATION
Inspired by design, code and usage of CAGR. Basic usage of custom range / interactive, pretty much explained here . Credits to TradingView.
█ FEATURES
1. Custom Range Interactive
2. Label can be resize and change color.
3. Label show tooltip for price and time.
4. Label can be offset to improve readability.
5. Table can show price variance when any cross is true.
6. Table can show overlap if found crosss is overlap either with crossover and crossunder.
7. Table text color automatically change based on chart background (light / dark mode).
8. Source 2 is drawn as straight line, while Source 1 will draw as label either above line for crossover, below line for crossunder and marked 'X' if crossing with Source 2's line.
9. Cross 'X' label can be offset to improve readability.
10. Both Source 1 and Source 2 can select Open, Close, High and Low, which can be displayed into table.
█ LIMITATIONS
1. Table is limited to intraday timeframe only as time format is not accurate for daily timeframe and above. Example daily timeframe will give result less 1 day from actual date.
2. I did not include other sources such external source or any built in sources such as hl2, hlc3, ohlc4 and hlcc4.
█ CODE EXPLAINATION
I pretty much create custom function with method which returns tuple value.
method crossVariant(float price = na, chart.point ref = na) =>
cross = ta.cross( price, ref.price)
over = ta.crossover( price, ref.price)
under = ta.crossunder(price, ref.price)
Unfortunately, I unable make the labels into array which i plan to return string value by getting the text value from array label, hence i use label.all and add incremental int value as reference.
series label labelCross = na, labelCross.delete()
var int num = 0
if over
num += 1
labelCross := label.new()
if under
num += 1
labelCross := label.new()
if cross
num += 1
labelCross := label.new()
I realised cross value can be overlap with crossover and crossunder, hence I add bool to enable force overlap and add additional bools.
series label labelCross = na, labelCross.delete()
var int num = 0
if forceOverlap
if over
num += 1
labelCross := label.new()
if under
num += 1
labelCross := label.new()
if cross
num += 1
labelCross := label.new()
else
if cross and over
num += 1
labelCross := label.new()
if cross and under
num += 1
labelCross := label.new()
if cross and not over and not under
num += 1
labelCross := label.new()
█ USAGE / EXAMPLES
"range" için komut dosyalarını ara
OI Visible Range Ladder [Kioseff Trading]Hello!
This Script “OI Visible Range Ladder” calculates open interest profiles for the visible range alongside an OI ladder for the visible period!
Features
OI Profile Anchored to Visible Range
OI Ladder Anchored to Visible Range
Standard POC and Value Area Lines, in Addition to Separated POCs and Value Area Lines for each category of OI x Price
Configurable Value Area Targets
Curved Profiles
Up to 9999 Profile Rows per Visible Range
Stylistic Options for Profiles
Up to 9999 volume profile levels (Price levels) can be calculated for each profile, thanks to the new polyline feature, allowing for less aggregation / more precision of open interest at price.
The image above shows primary functionality!
Green profiles = Up OI / Up Price
Yellow profiles = Down OI / Up Price
Purple profiles = Up OI / Down Price
Red profiles = Down OI / Down Price
The image above shows POCs for each OI x Price category!
Profiles can be anchored on the left side for a more traditional look.
The indicator is robust enough to calculate on “small price periods”, or for a price period spanning your entire chart fully zoomed out!
That’s about it :D
This indicator is Part of a series titled “Bull vs. Bear” - a suite of profile-like indicators.
Thanks for checking this out!
If you have any suggestions please feel free to share!
[blackcat] L2 Range Action Verification Index (RAVI) with 3 SMAThe Range Action Verification Index (RAVI) is a technical indicator used in trading to measure the strength of a trend. It compares two simple moving averages (SMAs) to determine the market's momentum.
To calculate RAVI, we subtract the shorter SMA from the longer SMA, and then divide the result by the longer SMA. This value is then multiplied by 100 to express it as a percentage.
The RAVI indicator helps traders identify whether the market is in a trending or range-bound phase. When the RAVI value is positive, it indicates a bullish trend, suggesting that the market is in an uptrend. Conversely, a negative RAVI value indicates a bearish trend or a downtrend.
Traders can use the RAVI indicator in several ways. Here are a few common strategies:
1. **Trend confirmation**: Traders can use RAVI to confirm the strength of a trend identified by other indicators or price patterns. If the RAVI value aligns with the direction of the trend, it provides additional confirmation.
2. **Overbought and oversold conditions**: Traders can use extreme RAVI values to identify overbought or oversold conditions in the market. When the RAVI value reaches high positive or negative levels, it suggests that the market may be due for a reversal or a retracement.
3. **Divergence**: Traders can look for divergences between the RAVI indicator and the price action. For example, if the price makes a higher high, but the RAVI value makes a lower high, it could indicate a weakening trend and a potential reversal.
As with any technical indicator, it is essential to use RAVI in conjunction with other tools and analysis techniques to make informed trading decisions. Traders should also consider factors such as market conditions, risk management, and other supporting indicators to validate their trading strategies.
In this indicator, an additional simple moving average (SMA) is introduced to consider long-term bias. This modification allows the Range Action Verification Index (RAVI) to be used as a volatility filter. By comparing the shorter SMA with this longer SMA, traders can gain insights into the market's volatility and adjust their trading strategies accordingly. This longer SMA helps provide a broader perspective on the market's trend and can be particularly useful for identifying and filtering out periods of high volatility. It is called "L2 Range Action Verification Index (RAVI) with 3 SMA". It calculates the RAVI value based on three simple moving averages (SMA). The code also includes calculations for the upper and lower bands, as well as color gradient settings. Finally, it plots the RAVI values and a midline.
It calculates the Range Action Verification Index (RAVI) using three Simple Moving Averages (SMA). The RAVI measures the difference between two SMAs divided by a third SMA, and then multiplied by 100.
The code starts with defining input parameters such as length, multiplier, and lengths for the three SMAs. Then it assigns the closing price to a variable called "price".
Next, it calculates the three SMAs using the "ta.sma" function from TradingView's built-in technical analysis library. The first SMA uses "sma1Length", the second SMA uses "sma2Length", and the third SMA uses "sma3Length".
After that, it calculates the RAVI by subtracting sma2 from sma1, dividing it by sma3, and multiplying it by 100.
Then it calculates additional values like basis (using another SMA), deviation (using standard deviation), upper band (basis + dev), and lower band (basis - dev).
Finally, it plots these values on a chart using different colors for each line. It also creates an array of gradient colors based on RSI values calculated from another indicator called ALMA. This gradient color is used to colorize the RAVI line.
Overall, this script helps visualize and analyze market trends based on moving averages and their relationship with price movements.
Supertrend x4 w/ Cloud FillSuperTrend is one of the most common ATR based trailing stop indicators.
The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility. In this version you can change the ATR calculation method from the settings. Default method is RMA, when the alternative method is SMA.
The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier.
The implementation of 4 supertrends and cloud fills allows for a better overall picture of the higher and lower timeframe trend one is trading a particular security in.
The default values used while constructing a supertrend indicator is 10 for average true range or trading period.
The key aspect what differentiates this indicator is the Multiplier. The multiplier is based on how much bigger of a range you want to capture. In our case by default, it starts with 2.636 and 3.336 for Set 1 & Set 2 respectively giving a narrow band range or Short Term (ST) timeframe visual. On the other hand, the multipliers for Set 3 & Set 4 goes up to 9.736 and 8.536 for the multiplier respectively giving a large band range or Long Term (LT) timeframe visual.
A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on minutes, hourly, daily, and weekly charts as well, but generally, it fails in a sideways-moving market. That's why with this implementation it enables one to stay out of the market if they choose to do so when the market is ranging.
This Supertrend indicator is modelled around trends and areas of interest versus buy and sell signals. Therefore, to better understand this indicator, one must calibrate it to one's need first, which means day trader (shorter timeframe) vs swing trader (longer time frame), and then understand how it can be utilized to improve your entries, exits, risk and position sizing.
Example:
In this chart shown above using SPX500:OANDA, 15R Time Frame, we can see that there is at any give time 1 to 4 clouds/bands of Supertrends. These four are called Set 1, Set 2, Set 3 and Set 4 in the indicator. Set's 1 & 2 are considered short term, whereas Set's 3 & 4 are considered long term. The term short and long are subjective based on one's trading style. For instance, if a person is a 1min chart trader, which would be short term, to get an idea of the trend you would have to look at a longer time frame like a 5min for instance. Similarly, in this cases the timeframes = Multiplier value that you set.
Optional Ideas:
+ Apply some basic EMA/SMA indicator script of your choice for easier understanding of the trend or to allow smooth transition to using this indicator.
+ Split the chart into two vertical layouts and applying this same script coupled with xdecow's 2 WWV candle painting script on both the layouts. Now you can use the left side of the chart to show all bearish move candles only (make the bullish candles transparent) and do the opposite for the right side of the chart. This way you enhance focus to just stick to one side at a given time.
Credits:
This indicator is a derivative of the fine work done originally by KivancOzbilgic
Here is the source to his original indicator: ).
Disclaimer:
This indicator and tip is for educational and entertainment purposes only. This not does constitute to financial advice of any sort.
True Range Moving Average Deviation🔶 Overview
The True Range Moving Average Deviation Indicator (TRMAD) is a technical analysis tool that combines elements of price deviation, volatility, and overbought/oversold conditions.
🔶 Key Components
Current price (Close) : most recent closing price of the asset.
Moving Average (MA) : represents a smoothed trendline of the asset's closing prices over a specified period. By default, TRMAD uses the Simple Moving Average (SMA) with a 20-period setting.
Average True Range (ATR) : reflects the average price range between the high and low over a given time frame. By default, TRMAD uses a 14-period ATR setting with a Simple Moving Average (SMA) calculation. ATR quantifies the historical price volatility of the asset, which is crucial for normalizing the price deviation.
🔶 Calculation
(Close - MA) / ATR
🔶 Interpretation
When TRMAD is above +3 ATR , it is often considered an indication that the asset may be overbought, suggesting a potential reversal or correction to the downside.
When TRMAD is below -3 ATR , it is often considered an indication that the asset may be oversold, suggesting a potential reversal or bounce to the upside.
TRMAD values around 0 ATR may indicate a balanced market condition.
🔶 Usage
🔹 Overbought and Oversold Conditions:
TRMAD can help identify overbought and oversold conditions. When TRMAD reaches or exceeds certain user-defined thresholds (e.g., +3 ATR or -3 ATR), it can signal that the asset is in an extreme condition.
Traders can use these extreme conditions to adjust their positions or look for potential reversal opportunities.
🔹 Divergence Analysis:
Traders often analyze divergences between the TRMAD indicator and price movements. For example, if the price is making higher highs while TRMAD is making lower highs (bearish divergence), it could indicate a potential trend reversal.
🔹 Trend Confirmation:
TRMAD can be used in conjunction with other technical indicators to confirm trends. For example, if TRMAD is consistently positive during an uptrend, it can provide confirmation of the trend's strength.
Positive TRMAD : When TRMAD is positive but hasn't reached the overbought threshold (e.g., +3 ATR), it suggests that there is some bullish momentum, but traders may exercise caution and look for other confirming signals before considering a long position.
Negative TRMAD : When TRMAD is negative but hasn't reached the oversold threshold (e.g., -3 ATR), it suggests some bearish sentiment, but traders may want to seek additional confirmation before considering a short position.
🔹 Risk Management:
Traders can use TRMAD as part of their risk management strategy. For instance, if TRMAD suggests that an asset is overbought, a trader might consider tightening their stop-loss orders to manage potential downside risk.
🔶 Credits
The idea about this indicator came from Fabio Figueiredo (Vlad)
ICT True Day Range [MK]The indicator displays the following:
Vertical line day separator from 00:00 to 00:00 EST
High/Low lines for the days true range from 00:00 to EOD
Opening line from 00:00 EST to EOD
Opening line from 08:30 EST to EOD
Weekly Opening line from Sunday open at 18:00 EST to last bar in the week
Monday range high/low/mid line, which can be extended to EOW
Text displaying Days of the Week
All functions can be fully customized regarding color/style and line width.
Below shows image of indicator with day separator: (it didn't show on the main chart despite being enabled?)
All of the above are to be used to give the user all the tools necessary to analyze the following concepts which can be studied on ICTs you tube channel:
Weekly profile, eg, has the weekly manipulated below the weekly open to then rise the rest of the week?
Daily profile, eg, has the day manipulated below the daily open (00:00 EST) to then rise the rest of the day?
Daily liquidity grab, eg has the current day taken PDH/PDL at the start of the current day?
Daily targets, eg will the current day end up taking liquidity from the PDH/PDL?
Monday range, will Mondays high/low range act as the accumulation phase of the weekly AMD profile?
Tuesday/Wednesday/Thursday/Friday reversal, eg, does a day of the week line up with a HTF target and a high volatility news event which could see price reverse after the manipulation phase of the weekly AMD profile?
In strong trending markets, will the 0830 open line be used in the NY session as manipulation reference in the same manner as the 00:00 line is normally used?
The above examples of how the indicator 'could' be used are not the only ways to use the indicator.
The indicator is by no means a trading strategy on its own. Users should be fully aware of ICT concepts and have performed extensive back-testing before using the indicator with live accounts.
Globex, Extended, Daily, Weekly, Monthly, Yearly Range* Adds Right Side Only Price Line & Labels for Tracking without Extending Both Sides
* Tracks Current, Previous, and Two Previous Globex Sessions/ Futures:
* Tracks Current, Previous, and Two Previous Extended Session/ Stocks:
* Tracks Current, Previous, Two, & Three Previous Day Session/ Equities:
* Tracks Current, Last, Two, Three, Four, & Five Week Session/ Equities:
* Tracks Current, Last, Two, Three, Four, & Five Month Session/ Equities:
* Tracks Current, Last, Two, Three, Four, & Five Year Session/ Equities:
* Allows Custom Range on Globex, Extended, & Daily Sessions
* Allows Custom Range on Weekly, Monthly, & Yearly Sessions
* Lines & Labels Are Not Visible on Chart Scales
* Reversible Text & Background Color
* Lines Extend Accordingly with Range
* Labels show Price & Percent Change
* Background Colors should match Chart Color to avoid Overlapping Text & Labels
* Lines have Offset Extension
* Labels have Offset Extension
* Globex Session is only visible on Futures & if Current Timeframe is Intraday
* Extended Session is only visible on Stocks & if Current Timeframe is Intraday
* Daily, Weekly, Monthly, & Yearly Sessions are visible on All Symbols & All Timeframes
* Globex, Extended, & Regular use their Default Time Sessions but allow Customization
* For Back Testing Default Sessions, switch over on the Menu to Style and Turn On/Off their Background Color; Any Area on the Chart Without Background Color is Regular Session
Volatility Price RangeThe Volatility Price Range is an overlay which estimates a price range for the next seven days and next day, based on historical volatility (already available in TradingView). The upper and lower bands are calculated as follows:
The Volatility for one week is calculated using the formula: WV = HV * √t where:
WV: one-week volatility
HV: annual volatility
√: square root
t: the time factor expressed in years
From this formula we can deduce the weekly volatility WV = HV * √(1 / 52) = HV / 7.2 where 52: weeks in a year.
The daily volatility DV = HV * √(1 / 365) = HV / 19.1 where 365: days in a year.
To calculate the lower and upper value of the bands, the weekly/daily volatility value obtained will be subtracted/added from/to the current price.
CPR (Central Pivot Range)Central Pivot Range is a trend and volatility forecasting tool. It is calculated from previous session's (day, week, or month) high, low, close values. It works on the idea that every trading session must be the result of its previous trading session.
Pivot, top pivot and bottom pivot values form the CPR. If the CPR for each trading session is getting higher (and also the price is trading above it) then it denotes bullish bias and vice versa for bearish. And the width of the CPR (i.e., distance between top and bottom pivot) denotes the volatility of the session.
If the CPR width is narrow, we can expect a trending or volatile trading session. If it's wide, then we can expect a range bound or sideways trading session.
Support and Resistance levels can be used as a profit booking zone or to add/reduce position sizing.
In this Indicator you have the following:
1. CPR with traditional support and resistance levels (S1-S5 & R1-R5).
2. Developing CPR for next trading day, week, and month.
3. Customizable lookback period, line width.
4. Option to show/hide labels, prices, SR levels, developing CPR.
True Range/Expected MoveThis indicator plots the ratio of True Range/Expected Move of SPX. True Range is simple the high-low range of any period. Expected move is the amount that SPX is predicted to increase or decrease from its current price based on the current level of implied volatility. There are several choices of volatility indexes to choose from. The shift in color from red to green is set by default to 1 but can be adjusted in the settings.
Red bars indicate the true range was below the expected move and green bars indicate it was above. Because markets tend to overprice volatility it is expected that there would be more red bars than green. If you sell SPX or SPY option premium red days tend to be successful while green days tend to get stopped out. On a 1D chart it is interesting to look at the clusters of bar colors.
Average Range PercentageIt is indicator for average percent range (range from high to low of stock/index price) of N days,
This will help to find high percentage moving stock/index for intraday.
Focused Average True RangeThe Focused Average True Range (FATR) is a modified version of the classic Average True Range (ATR) indicator. It is designed to provide traders with more accurate data on volatility, minimizing the impact of sharp spikes in volatility.
The main distinction between the Focused ATR and the standard ATR lies in the utilization of percentiles. Instead of calculating the average price change as the regular ATR does, the Focused ATR selects a value in the middle of the range of price changes. This makes it less sensitive to sharp changes in volatility, which can be beneficial in certain trading scenarios.
Settings:
Percentile. This parameter determines which value in the series of price changes will be used. For example, if the percentile is set to 50, the indicator will use the median value of the series of price changes. This is the default value. Imagine a class of students lined up by height, and instead of calculating the average height of all students, we take the height of the students in the middle of the line. Similarly here, we take the ATR from the middle of the series. Increasing the percentile will lead to the use of a value closer to the upper bound of the range, while decreasing the percentile will lead to the use of a value closer to the lower bound.
How to Use:
The Focused ATR is especially useful for determining the sizes of stop-losses and take-profits, thanks to its ability to consider the value in the middle of the series of price changes rather than the average value. This allows traders to more accurately assess volatility and risk, which in turn can assist in optimizing trading strategies
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Фокусированный Средний Истинный Диапазон (Focused ATR) представляет собой модифицированную версию классического индикатора ATR. Он разработан с целью предоставления трейдерам более точных данных о волатильности, минимизируя влияние резких скачков волатильности.
Основное отличие Фокусированного ATR от стандартного ATR заключается в использовании процентиля. Вместо того, чтобы рассчитывать среднее значение изменений цены, как это делает обычный ATR, Фокусированный ATR выбирает значение в середине диапазона изменений цены. Это делает его менее чувствительным к резким изменениям волатильности, что может быть полезно в некоторых торговых сценариях.
Настройки:
Процентиль. Этот параметр определяет, какое значение в ряду изменений цены будет использоваться. Например, если процентиль равен 50, то индикатор будет использовать медианное значение ряда изменений цены. Это стандартное значение. Представьте себе, что ученики класса выстроились по росту, и мы считаем не средний рост всех учеников, а берем рост учеников из середины колонны. Так и тут. Мы берем ATR из середины ряда. Увеличение процентиля приведет к использованию значения, ближе к верхней границе диапазона, в то время как уменьшение процентиля приведет к использованию значения, ближе к нижней границе.
Как использовать:
Фокусированный ATR особенно полезен для определения размеров стоп-лоссов и тейк-профитов, благодаря своей способности учитывать значение в середине ряда изменений цены, а не среднее значение. Это позволяет трейдерам более точно оценить волатильность и риск, что в свою очередь может помочь в оптимизации торговых стратегий.
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Wyckoff Range StrategyThe Wyckoff Range Strategy is a trading strategy that aims to identify potential accumulation and distribution phases in the market using the principles of Wyckoff analysis. It also incorporates the detection of spring and upthrust patterns.
Here's a step-by-step explanation of how to use this strategy:
Understanding Accumulation and Distribution Phases:
Accumulation Phase: This is a period where smart money (large institutional traders) accumulates a particular asset at lower prices. It is characterized by a sideways or consolidating price action.
Distribution Phase: This is a period where smart money distributes or sells a particular asset at higher prices. It is also characterized by a sideways or consolidating price action.
Input Variables:
crossOverLength: This variable determines the length of the moving average crossover used to identify accumulation and distribution phases. You can adjust this value based on the market you are trading and the time frame you are analyzing.
stopPercentage: This variable determines the percentage used to calculate the stop loss level. It helps you define a predefined level at which you would exit a trade if the price moves against your position.
Strategy Conditions:
Enter Long: The strategy looks for a crossover of the close price above the SMA of the close price with a length of crossOverLength and a crossover of the low price above the SMA of the low price with a length of 20. This combination suggests the start of an accumulation phase and a potential buying opportunity.
Exit Long: The strategy looks for a crossunder of the close price below the SMA of the close price with a length of crossOverLength or a crossunder of the high price below the SMA of the high price with a length of 20. This combination suggests the end of an accumulation phase and a potential exit signal for long positions.
Enter Short: The strategy looks for a crossunder of the close price below the SMA of the close price with a length of crossOverLength and a crossunder of the high price below the SMA of the high price with a length of 20. This combination suggests the start of a distribution phase and a potential selling opportunity.
Exit Short: The strategy looks for a crossover of the close price above the SMA of the close price with a length of crossOverLength or a crossover of the low price above the SMA of the low price with a length of 20. This combination suggests the end of a distribution phase and a potential exit signal for short positions.
Stop Loss:
The strategy sets a stop loss level for both long and short positions. The stop loss level is calculated based on the stopPercentage variable, which represents the percentage of the current close price. If the price reaches the stop loss level, the strategy will automatically exit the position.
Plotting Wyckoff Schematics:
The strategy plots different shapes on the chart to indicate the identified phases and patterns. Green and red labels indicate the accumulation and distribution phases, respectively. Blue triangles indicate spring patterns, and orange triangles indicate upthrust patterns.
To use this strategy, you can follow these steps:
Jim Forte — Anatomy of a Trading Range
robertbrain.com/Bull...+a+Trading+Range.pdf
Open Interest Profile [Fixed Range] - By LeviathanThis script generates an aggregated Open Interest profile for any user-selected range and provides several other features and tools, such as OI Delta Profile, Positive Delta Levels, OI Heatmap, Range Levels, OIWAP, POC and much more.
The indicator will help you find levels of interest based on where other market participants are opening and closing their positions. This provides a deeper insight into market activity and serves as a foundation for various different trading strategies (trapped traders, supply and demand, support and resistance, liquidity gaps, imbalances,liquidation levels, etc). Additionally, this indicator can be used in conjunction with other tools such as Volume Profile.
Open Interest (OI) is a key metric in derivatives markets that refers to the total number of unsettled or open contracts. A contract is a mutual agreement between two parties to buy or sell an underlying asset at a predetermined price. Each contract consists of a long side and a short side, with one party consenting to buy (long) and the other agreeing to sell (short). The party holding the long position will profit from an increase in the asset's price, while the one holding the short position will profit from the price decline. Every long position opened requires a corresponding short position by another market participant, and vice versa. Although there might be an imbalance in the number of accounts or traders holding long and short contracts, the net value of positions held on each side remains balanced at a 1:1 ratio. For instance, an Open Interest of 100 BTC implies that there are currently 100 BTC worth of longs and 100 BTC worth of shorts open in the market. There might be more traders on one side holding smaller positions, and fewer on the other side with larger positions, but the net value of positions on both sides is equivalent - 100 BTC in longs and 100 BTC in shorts (1:1). Consider a scenario where a trader decides to open a long position for 1 BTC at a price of $30k. For this long order to be executed, a counterparty must take the opposite side of the contract by placing a short order for 1 BTC at the same price of $30k. When both long and short orders are matched and executed, the Open Interest increases by 1 BTC, indicating the introduction of this new contract to the market.
The meaning of fluctuations in Open Interest:
- OI Increase - signifies new positions entering the market (both longs and shorts).
- OI Decrease - indicates positions exiting the market (both longs and shorts).
- OI Flat - represents no change in open positions due to low activity or a large number of contract transfers (contracts changing hands instead of being closed).
Typically, we monitor Open Interest in the form of its running value, either on a chart or through OI Delta histograms that depict the net change in OI for each price bar. This indicator enhances Open Interest analysis by illustrating the distribution of changes in OI on the price axis rather than the time axis (akin to Volume Profiles). While Volume Profile displays the volume that occurred at a given price level, the Open Interest Profile offers insight into where traders were opening and closing their positions.
How to use the indicator?
1. Add the script to your chart
2. A prompt will appear, asking you to select the “Start Time” (start of the range) and the “End Time” (end of the range) by clicking anywhere on your chart.
3. Within a few seconds, a profile will be generated. If you wish to alter the selected range, you can drag the "Start Time" and "End Time" markers accordingly.
4. Enjoy the script and feel free to explore all the settings.
To learn more about each input in indicator settings, please read the provided tooltips. These can be accessed by hovering over or clicking on the ( i ) symbol next to the input.
COT-index rangeA graph showing the commercials (part of COT-data) positioning in relation to its own range, X periods back. I usually choose the look-back period to equal approximately one year. This will be around 52 on a weekly chart and 250 on a daily chart.
In my opinion a high data-point for the commercials is bullish and vice versa. But instead of only looking att absolute values I now look more at how the commercials are positioned compared to the previous 12 och 6 months.
Example:
a) if COT-index range = 0.8, then the commercials are in the 80th percentile for this specific look-back period, i.e. the commercials has only been more bullish 20% of the time and more bearish 80% of the time.
b) a) if COT-index range = 0.5, then the commercials are in the 50th percentile for this specific look-back period, i.e. the commercials has been more bullish 50% of the time and more bearish 50% of the time.
c) if COT-index range = 0.2, then the commercials are in the 20th percentile for this specific look-back period, i.e. the commercials has been more bullish 80% of the time and more bearish 20% of the time.
In other words, a high reading is bullish and a low reading is bearish.
Opening Range with FibsThe indicator uses a time range and another instrument for time reference, so that it works in the time zone you care about. I have set the default to SPX500USD since it is in EST ( SPX , ES and many futures are on Chicago time and opening range gets confused). You can change the reference instrument in the settings.
You can also change the multipliers and use other values instead of 1.272 and 1.618 for Fib extensions.
TradingView has a limit as to how many objects an indicator can create so if you want to go back further for visual backtesting - use the replay tool - it will be able to draw up to the time you selected within its limits.
Let me know if you need anything else...
Happy Trading!
Average True Range PercentWhen writing the Quickfingers Luc base scanner (Marvin) script, I wanted a measure of volatility that would be comparable between charts. The traditional Average True Range (ATR) indicator calculates a discrete number providing the average true range of that chart for a specified number of periods. The ATR is not comparable across different price charts.
Average True Range Percent (ATRP) measures the true range for the period, converts it to a percentage using the average of the period's range ((high + low) / 2) and then smooths the percentage. The ATRP provides a measure of volatility that is comparable between charts showing their relative volatility.
Enjoy.
CPR - Central Pivot Range (by Alex L.)CPR or Central Pivot Range is a tool for identifying a trend, its volatility and its future targets for the price levels (in up or down directions).
What this indicator offers:
- Main purpose of this indicator is to display levels of support/resistance in a given trend as potentially good levels of entering into position or existing from a position. Entry levels are RED, resistance levels are in GREEN.
- You have the ability to view daily, weekly, monthly pivot levels, depending on what kind of trader you are.
- Unique to this indicator - you have the ability to view YEARLY pivot levels.
- Unique to this indicator - you have the "Pivots History" option to either show all history or just the recent piriod to make your chart clean of "noise".
- Unique to this indicator - you can view "future" pivot levels based on current price.
- You have the ability to view "future pivots" which can be useful as entry or exit levels for the current trend.
- You have the ability to view one, two, three or four pivor levels concurrently depending on how much information you want on your chart.
- You have the option to use "Compact View" to further reduce "noise" and make your chart event more clean.
- Open source.
Some guidelines:
- When current Central Pivot Range is higher than previous Central Pivot Range then the stock is in an uptrend and vice versa.
- Wide Central Pivot Range usually means the stock is in a "sideways trend" and volatility is low.
- Tight Central Pivot Range usually means the stock has a very low volatility and is about to explode (up or down). Switching to a higher timeframe can often give hints to what direction the stock is likely to go.
Default settings:
- Pivot Levels : "Two Pivot Levels"
- Filter/Hide Pivots: "Hide Pivot+BC+TC"
- Pivots History: "Few Months Back"
'V' Show Monthly Pivots
'V' Show Future Pivots
Calculations of pivot levels formula is according to book "Secrets of a Pivot Boss" by Franklin O. Ochoa.
Quote from the book: "The way to make money is to make it. The way to make big money is to be right at exactly the right time."
Open source.
Enjoy!
True Range Adjusted Exponential Momentum [CC]-[burgered]Original Script by CheatCountry, used with permission (chill guy):
I have made a sort of conversion of CheatCountries implementation of the True Range Adjusted Exponential Moving Average into a momentum oscillator.
Being True Range based, it the bounds vary based on the chart.
Includes a Bollinger Band for bounds that forms a trend follower based on the 0 point.
Includes CheatCountry color code signals, different color scheme. Bright colors are strong signals, ark are weak, green bull, red bear, the basics.
This oscillator can be used for divergences, trends, signal strength, confirmation, volatility readings, you name it.
Works well on smoothed/filtered signals as well.
Give CheatCountry a follow, hes one of the MVPs of Tradingview Pinescripters, constantly giving us access to novel new concepts as they are published by professionals.
[blackcat] L1 True Range Adjusted EMA (TRAdj EMA) Level: 1
Background
In Traders’ Tips in January 2023, Vitali Apirine published an article in the January 2023 issue, “True Range Adjusted Exponential Moving Average (TRAdj EMA)”.
I use pine v4 to script it.
Function
Vitali Apirine's article True Range Adjusted Exponential Moving Average (TRAdj EMA) presents how a security's True Range, which measures volatility, can be integrated into a traditional exponential moving average. The trend following indicator called True Range Adjusted Exponential Moving Average (TRAdj EMA) applied with different lengths can help define turning points and filter price movements. By comparing the indicator to an exponential moving average of the same length, the trader can gain insight into the overall trend.
Remarks
Feedbacks are appreciated.
Average True Range Refurbished💡 Objective
This script is a rebuild of the pre-existing ATR indicator, with improvements and fine-tuning.
🪄Improvements
1. Normalization option (range 0 to 100)
2. Optional calculation of the ratio between current volatility and average volatility
3. Optional smoothing
4. Show a moving average
5. Show Bollinger Bands with 3 bands
6. Change bar colors according to ATR and Bollinger Bands
📚 Definition
'The Average True Range (ATR) is a tool used in technical analysis to measure volatility. Unlike many of today's popular indicators, the ATR is not used to indicate the direction of price. Rather, it is a metric used solely to measure volatility, especially volatility caused by price gaps or limit moves.'
(TradingView)
True Range Outlier Detector (TROD)True Range Outlier Detector (TROD) shows you weather or not a candle is larger than normal. This works by taking the normalized true range and if the candle exceeds a score of 0.5 or -0.5 it triggers the outlier detection. This is great for building strategies if you want to refrain from buying larger than normal up or down ticks. The only feature is the ability to change the lookback period of the normalization. I hope you find this as useful as I do!
Enjoy!
RSI Objective LinesThe RSI is a contrarian indicator bounded between 0 and 100 where values close to the area of 30 represent an oversold condition and values close to the area of 70 represent an overbought condition.
Generally, we use the area of 70/75 and the area of 30/25 as extremes that signal a market reversal or a correction. But what if we calculate a simple way to make these levels more dynamic?
The main idea from these objective support and resistance levels is that market regime and dynamics move and as such fixed levels are unlikely to always provide value which means that we can try creating variable levels. The objective support and resistance levels are created following these steps:
* Calculate a 14-period RSI on the close price, let's call this RSI_Close.
* Calculate a 14-period RSI on the high price, let's call this RSI_High.
* Calculate a 14-period RSI on the low price, let's call this RSI_Low.
* Calculate the maximum range which is the highest value of RSI_High in the last 200 periods minus the lowest value of RSI_Low in the last 200 periods. Let's call this Max_Range
* Define the range width. By default, it is set to 5%. Let's call this Threshold.
* The objective support is calculated as the sum of the RSI_Low + (Max_Range * Threshold).
* The objective resistance is calculated as the sum of the RSI_High - (Max_Range * Threshold).
The levels are used in the same way as the oversold and overbought levels. They are more dynamic as they take into account the fluctuations of the RSI so you might see at some point in time a support at 20 and at another at 35.
