Downtrends [theEccentricTrader]█ OVERVIEW
This indicator simply plots multi-part downtrends and should be used in conjunction with my Return Line Uptrends, Uptrends and Return Line Downtrends indicators as a visual aid to my Trend Counter indicator.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a high price equal to or above the price it opened.
• A red candle is one that closes with a low price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend.
• A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend.
• A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend.
█ FEATURES
Plots
Red down-arrows, with the number of the trend part, denote downtrends.
█ LIMITATIONS
Some higher timeframe candles on tickers with larger lookbacks such as the DXY , do not actually contain all the open, high, low and close (OHLC) data at the beginning of the chart. Instead, they use the close price for open, high and low prices. So, while we can determine whether the close price is higher or lower than the preceding close price, there is no way of knowing what actually happened intra-bar for these candles. And by default candles that close at the same price as the open price, will be counted as green.
The green and red candle calculations are based solely on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Alternatively, you can replace the scenarios with your own logic to account for the gap anomalies, if you are feeling up to the challenge.
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Return Line Uptrends [theEccentricTrader]█ OVERVIEW
This indicator simply plots multi-part return line uptrends and should be used in conjunction with my Downtrends, Uptrends and Return Line Downtrends indicators as a visual aid to my Trend Counter indicator.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a high price equal to or above the price it opened.
• A red candle is one that closes with a low price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend.
• A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend.
• A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend.
█ FEATURES
Plots
Green up-arrows, with the number of the trend part, denote return line uptrends.
█ LIMITATIONS
Some higher timeframe candles on tickers with larger lookbacks such as the DXY , do not actually contain all the open, high, low and close (OHLC) data at the beginning of the chart. Instead, they use the close price for open, high and low prices. So, while we can determine whether the close price is higher or lower than the preceding close price, there is no way of knowing what actually happened intra-bar for these candles. And by default candles that close at the same price as the open price, will be counted as green.
The green and red candle calculations are based solely on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Alternatively, you can replace the scenarios with your own logic to account for the gap anomalies, if you are feeling up to the challenge.
Trend Counter [theEccentricTrader]█ OVERVIEW
This indicator counts the number of confirmed trend scenarios on any given candlestick chart and displays the statistics in a table, which can be repositioned and resized at the user's discretion.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a high price equal to or above the price it opened.
• A red candle is one that closes with a low price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend.
• A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend.
• A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend.
█ FEATURES
Inputs
Start Date
End Date
Position
Text Size
Show Sample Period
Table
The table is colour coded, consists of seven columns and, as many as, forty-one rows. Blue cells denote the multi-part trend scenarios, green cells denote the corresponding return line uptrend and uptrend scenarios and red cells denote the corresponding downtrend and return line downtrend scenarios.
The trend scenarios are listed in the first column with their corresponding total counts to the right, in the second and fifth columns. The last row in column one, displays the sample period which can be adjusted or hidden via indicator settings.
The third and sixth columns display the trend scenarios as percentage of total 1-part trends. And columns four and seven display the total trend scenarios as percentages of the, last, or preceding trend part. For example 4-part trends as a percentages of 3-part trends. This offers more insight into what might happen next at any given point in time.
Plots
For a visual aid to this indicator please use in conjunction with my Return Line Uptrends, Downtrends, Uptrends and Return Line Downtrends indicators which can all be found on my profile page under scripts, or in community scripts under the same names. Unfortunately, I could not fit all the plots with the correct offsets into one script so I had to make a separate indicator for each trend type. I decided against labels as this would limit the visual data points to 500.
Green up-arrows, with the number of the trend part, denote return line uptrends and uptrends. Red down-arrows, with the number of the trend part, denote downtrends and return line downtrends.
█ HOW TO USE
This is intended for research purposes, strategy development and strategy optimisation. I hope it will be useful in helping to gain a better understanding of the underlying dynamics at play on any given market and timeframe.
It can, for example, give you an idea of whether the current trend will continue or fail, based on the current trend scenario and what has happened in the past under similar circumstances. Such information can be very useful when conducting top down analysis across multiple timeframes and making strategic decisions.
What you do with these statistics and how far you decide to take your research is entirely up to you, the possibilities are endless.
█ LIMITATIONS
Some higher timeframe candles on tickers with larger lookbacks such as the DXY , do not actually contain all the open, high, low and close (OHLC) data at the beginning of the chart. Instead, they use the close price for open, high and low prices. So, while we can determine whether the close price is higher or lower than the preceding close price, there is no way of knowing what actually happened intra-bar for these candles. And by default candles that close at the same price as the open price, will be counted as green. You can avoid this problem by utilising the sample period filter.
The green and red candle calculations are based solely on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Alternatively, you can replace the scenarios with your own logic to account for the gap anomalies, if you are feeling up to the challenge.
It is also worth noting that the sample size will be limited to your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000. If upgrading is currently not an option, you can always keep a rolling tally of the statistics in an excel spreadsheet or something of the like.
Opening Range & Daily and Weekly PivotsThis script is for a combination of two indicators: an Opening Range Breakout (ORB) indicator and a daily/weekly high/low pivot indicator. The ORB indicator displays the opening range (the high and low of the first X minutes of the trading day, where X is a user-defined parameter) as two lines on the chart. If the price closes above the ORB high, the script triggers an alert with the message "Price has broken above the opening range." Similarly, if the price closes below the ORB low, the script triggers an alert with the message "Price has broken below the opening range."
The daily/weekly high/low pivot indicator plots the previous day's high and low as well as the previous week's high and low. If the current price closes above yesterday's high or last week's high, the script triggers an alert with the messages "We are now trading higher than the previous daily high" and "We are now trading higher than the last week high", respectively. If the current price closes below yesterday's low or last week's low, the script triggers an alert with the messages "We are now trading lower than the previous daily low" and "We are now trading lower than the last week low", respectively.
In addition to the visual representation on the chart, the script also triggers alerts when the price crosses any of these levels. These alerts are intended to help traders make decisions about entering or exiting trades based on the price action relative to key levels of support and resistance.
ATR PivotsThe "ATR Pivots" script is a technical analysis tool designed to help traders identify key levels of support and resistance on a chart. The indicator uses various metrics such as the Average True Range (ATR), Daily True Range ( DTR ), Daily True Range Percentage (DTR%), Average Daily Range (ADR), Previous Day High ( PDH ), and Previous Day Low ( PDL ) to provide a comprehensive picture of the volatility and movement of a security. The script also includes an EMA cloud and 200 EMA for trend identification and a 1-minute ATR scalping strategy for traders to make informed trading decisions.
ATR Detail:-
The ATR is a measure of the volatility of a security over a given period of time. It is calculated by taking the average of the true range (the difference between the high and low of a security) over a set number of periods. The user can input the number of periods (ATR length) to be used for the ATR calculation. The script also allows the user to choose whether to use the current close or not for the calculation. The script calculates various levels of support and resistance based on the relationship between the security's range ( high-low ) and the ATR. The levels are calculated by multiplying the ATR by different Fibonacci ratios (0.236, 0.382, 0.5, 0.618, 0.786, 1.000) and then adding or subtracting the result from the previous close. The script plots these levels on the chart, with the -100 level being the most significant level. The user also has an option to choose whether to plot all Fibonacci levels or not.
DTR and DTR% Detail:-
The Daily True Range Percentage (DTR%) is a metric that measures the daily volatility of a security as a percentage of its previous close. It is calculated by dividing the Daily True Range ( DTR ) by the previous close. DTR is the range between the current period's high and low and gives a measure of the volatility of the security on a daily basis. DTR% can be used as an indicator of the percentage of movement of the security on a daily basis. In this script, DTR% is used in combination with other metrics such as the Average True Range (ATR) and Fibonacci ratios to calculate key levels of support and resistance for the security. The idea behind using DTR% is that it can help traders to better understand the daily volatility of the security and make more informed trading decisions.
For example, if a security has a DTR% of 2%, it suggests that the security has a relatively low level of volatility and is less likely to experience significant price movements on a daily basis. On the other hand, if a security has a DTR% of 10%, it suggests that the security has a relatively high level of volatility and is more likely to experience significant price movements on a daily basis.
ADR:-
The script then calculates the ADR (Average Daily Range) which is the average of the daily range of the security, using the formula (Period High - Period Low) / ATR Length. This gives a measure of the average volatility of the security on a daily basis, which can be useful for determining potential levels of support and resistance .
PDH /PDL:-
The script also calculates PDH (Previous Day High) and PDL (Previous Day Low) which are the High and low of the previous day of the security. This gives a measure of the previous day's volatility and movement, which can be useful for determining potential levels of support and resistance .
EMA Cloud and 200 EMA Detail:-
The EMA cloud is a technical analysis tool that helps traders identify the trend of the market by comparing two different exponential moving averages (EMAs) of different lengths. The cloud is created by plotting the fast EMA and the slow EMA on the chart and filling the space between them. The user can input the length of the fast and slow EMA , and the script will calculate and plot these EMAs on the chart. The space between the two EMAs is then filled with a color that represents the trend, with green indicating a bullish trend and red indicating a bearish trend . Additionally, the script also plots a 200 EMA , which is a commonly used long-term trend indicator. When the fast EMA is above the slow EMA and the 200 EMA , it is considered a bullish signal, indicating an uptrend. When the fast EMA is below the slow EMA and the 200 EMA , it is considered a bearish signal, indicating a downtrend. The EMA cloud and 200 EMA can be used together to help traders identify the overall trend of the market and make more informed trading decisions.
1 Minute ATR Scalping Strategy:-
The script also includes a 1-minute ATR scalping strategy that can be used by traders looking for quick profits in the market. The strategy involves using the ATR levels calculated by the script as well as the EMA cloud and 200 EMA to identify potential buy and sell opportunities. For example, if the 1-minute ATR is above 11 in NIFTY and the EMA cloud is bullish , the strategy suggests buying the security. Similarly, if the 1-minute ATR is above 30 in BANKNIFTY and the EMA cloud is bullish , the strategy suggests buying the security.
Inside Candle:-
The Inside Candle is a price action pattern that occurs when the current candle's high and low are entirely within the range of the previous candle's high and low. This pattern indicates indecision or consolidation in the market and can be a potential sign of a trend reversal. When used in the 15-minute chart, traders can look for Inside Candle patterns that occur at key levels of support or resistance. If the Inside Candle pattern occurs at a key level and the price subsequently breaks out of the range of the Inside Candle, it can be a signal to enter a trade in the direction of the breakout. Traders can also use the Inside Candle pattern to trade in a tight range, or to reduce their exposure to a current trend.
Risk Management:-
As with any trading strategy, it is important to practice proper risk management when using the ATR Pivots script and the 1-minute ATR scalping strategy. This may include setting stop-loss orders, using appropriate position sizing, and diversifying your portfolio. It is also important to note that past performance is not indicative of future results and that the script and strategy provided are for educational purposes only.
In conclusion, the "ATR Pivots" script is a powerful tool that can help traders identify key levels of support and resistance , as well as trend direction. The additional metrics such as DTR , DTR%, ADR, PDH , and PDL provide a more comprehensive picture of the volatility and movement of the security, making it easier for traders to make better trading decisions. The inclusion of the EMA cloud and 200 EMA for trend identification, and the 1-minute ATR scalping strategy for quick profits can further enhance a trader's decision-making process. However, it is important to practice proper risk management and understand that past performance is not indicative of future results.
Special thanks to satymahajan for the idea of clubbing Average True Range with Fibonacci levels.
Traders_Reality_LibLibrary "Traders_Reality_Lib"
This library contains common elements used in Traders Reality scripts
calcPvsra(pvsraVolume, pvsraHigh, pvsraLow, pvsraClose, pvsraOpen, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, darkGreyCandleColor, lightGrayCandleColor)
calculate the pvsra candle color and return the color as well as an alert if a vector candle has apperared.
Situation "Climax"
Bars with volume >= 200% of the average volume of the 10 previous chart TFs, or bars
where the product of candle spread x candle volume is >= the highest for the 10 previous
chart time TFs.
Default Colors: Bull bars are green and bear bars are red.
Situation "Volume Rising Above Average"
Bars with volume >= 150% of the average volume of the 10 previous chart TFs.
Default Colors: Bull bars are blue and bear are violet.
Parameters:
pvsraVolume : the instrument volume series (obtained from request.sequrity)
pvsraHigh : the instrument high series (obtained from request.sequrity)
pvsraLow : the instrument low series (obtained from request.sequrity)
pvsraClose : the instrument close series (obtained from request.sequrity)
pvsraOpen : the instrument open series (obtained from request.sequrity)
redVectorColor : red vector candle color
greenVectorColor : green vector candle color
violetVectorColor : violet/pink vector candle color
blueVectorColor : blue vector candle color
darkGreyCandleColor : regular volume candle down candle color - not a vector
lightGrayCandleColor : regular volume candle up candle color - not a vector
@return
adr(length, barsBack)
Parameters:
length : how many elements of the series to calculate on
barsBack : starting possition for the length calculation - current bar or some other value eg last bar
@return adr the adr for the specified lenght
adrHigh(adr, fromDo)
Calculate the ADR high given an ADR
Parameters:
adr : the adr
fromDo : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight
@return adrHigh the position of the adr high in price
adrLow(adr, fromDo)
Parameters:
adr : the adr
fromDo : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight
@return adrLow the position of the adr low in price
splitSessionString(sessXTime)
given a session in the format 0000-0100:23456 split out the hours and minutes
Parameters:
sessXTime : the session time string usually in the format 0000-0100:23456
@return
calcSessionStartEnd(sessXTime, gmt)
calculate the start and end timestamps of the session
Parameters:
sessXTime : the session time string usually in the format 0000-0100:23456
gmt : the gmt offset string usually in the format GMT+1 or GMT+2 etc
@return
drawOpenRange(sessXTime, sessXcol, showOrX, gmt)
draw open range for a session
Parameters:
sessXTime : session string in the format 0000-0100:23456
sessXcol : the color to be used for the opening range box shading
showOrX : boolean flag to toggle displaying the opening range
gmt : the gmt offset string usually in the format GMT+1 or GMT+2 etc
@return void
drawSessionHiLo(sessXTime, show_rectangleX, show_labelX, sessXcolLabel, sessXLabel, gmt, sessionLineStyle)
Parameters:
sessXTime : session string in the format 0000-0100:23456
show_rectangleX : show the session high and low lines
show_labelX : show the session label
sessXcolLabel : the color to be used for the hi/low lines and label
sessXLabel : the session label text
gmt : the gmt offset string usually in the format GMT+1 or GMT+2 etc
sessionLineStyle : the line stile for the session high low lines
@return void
calcDst()
calculate market session dst on/off flags
@return indicating if DST is on or off for a particular region
timestampPreviousDayOfWeek(previousDayOfWeek, hourOfDay, gmtOffset, oneWeekMillis)
Timestamp any of the 6 previous days in the week (such as last Wednesday at 21 hours GMT)
Parameters:
previousDayOfWeek : Monday or Satruday
hourOfDay : the hour of the day when psy calc is to start
gmtOffset : the gmt offset string usually in the format GMT+1 or GMT+2 etc
oneWeekMillis : the amount if time for a week in milliseconds
@return the timestamp of the psy level calculation start time
getdayOpen()
get the daily open - basically exchange midnight
@return the daily open value which is float price
newBar(res)
new_bar: check if we're on a new bar within the session in a given resolution
Parameters:
res : the desired resolution
@return true/false is a new bar for the session has started
toPips(val)
to_pips Convert value to pips
Parameters:
val : the value to convert to pips
@return the value in pips
rLabel(ry, rtext, rstyle, rcolor, valid, labelXOffset)
a function that draws a right aligned lable for a series during the current bar
Parameters:
ry : series float the y coordinate of the lable
rtext : the text of the label
rstyle : the style for the lable
rcolor : the color for the label
valid : a boolean flag that allows for turning on or off a lable
labelXOffset : how much to offset the label from the current position
rLabelOffset(ry, rtext, rstyle, rcolor, valid, labelXOffset)
a function that draws a right aligned lable for a series during the current bar
Parameters:
ry : series float the y coordinate of the lable
rtext : the text of the label
rstyle : the style for the lable
rcolor : the color for the label
valid : a boolean flag that allows for turning on or off a lable
labelXOffset : how much to offset the label from the current position
rLabelLastBar(ry, rtext, rstyle, rcolor, valid, labelXOffset)
a function that draws a right aligned lable for a series only on the last bar
Parameters:
ry : series float the y coordinate of the lable
rtext : the text of the label
rstyle : the style for the lable
rcolor : the color for the label
valid : a boolean flag that allows for turning on or off a lable
labelXOffset : how much to offset the label from the current position
drawLine(xSeries, res, tag, xColor, xStyle, xWidth, xExtend, isLabelValid, labelXOffset, validTimeFrame)
a function that draws a line and a label for a series
Parameters:
xSeries : series float the y coordinate of the line/label
res : the desired resolution controlling when a new line will start
tag : the text for the lable
xColor : the color for the label
xStyle : the style for the line
xWidth : the width of the line
xExtend : extend the line
isLabelValid : a boolean flag that allows for turning on or off a label
labelXOffset : how much to offset the label from the current position
validTimeFrame : a boolean flag that allows for turning on or off a line drawn
drawLineDO(xSeries, res, tag, xColor, xStyle, xWidth, xExtend, isLabelValid, labelXOffset, validTimeFrame)
a function that draws a line and a label for the daily open series
Parameters:
xSeries : series float the y coordinate of the line/label
res : the desired resolution controlling when a new line will start
tag : the text for the lable
xColor : the color for the label
xStyle : the style for the line
xWidth : the width of the line
xExtend : extend the line
isLabelValid : a boolean flag that allows for turning on or off a label
labelXOffset : how much to offset the label from the current position
validTimeFrame : a boolean flag that allows for turning on or off a line drawn
drawPivot(pivotLevel, res, tag, pivotColor, pivotLabelColor, pivotStyle, pivotWidth, pivotExtend, isLabelValid, validTimeFrame, levelStart, pivotLabelXOffset)
draw a pivot line - the line starts one day into the past
Parameters:
pivotLevel : series of the pivot point
res : the desired resolution
tag : the text to appear
pivotColor : the color of the line
pivotLabelColor : the color of the label
pivotStyle : the line style
pivotWidth : the line width
pivotExtend : extend the line
isLabelValid : boolean param allows to turn label on and off
validTimeFrame : only draw the line and label at a valid timeframe
levelStart : basically when to start drawing the levels
pivotLabelXOffset : how much to offset the label from its current postion
@return the pivot line series
getPvsraFlagByColor(pvsraColor, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, lightGrayCandleColor)
convert the pvsra color to an internal code
Parameters:
pvsraColor : the calculated pvsra color
redVectorColor : the user defined red vector color
greenVectorColor : the user defined green vector color
violetVectorColor : the user defined violet vector color
blueVectorColor : the user defined blue vector color
lightGrayCandleColor : the user defined regular up candle color
@return pvsra internal code
updateZones(pvsra, direction, boxArr, maxlevels, pvsraHigh, pvsraLow, pvsraOpen, pvsraClose, transperancy, zoneupdatetype, zonecolor, zonetype, borderwidth, coloroverride, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, lightGrayCandleColor)
a function that draws the unrecovered vector candle zones
Parameters:
pvsra : internal code
direction : above or below the current pa
boxArr : the array containing the boxes that need to be updated
maxlevels : the maximum number of boxes to draw
pvsraHigh : the pvsra high value series
pvsraLow : the pvsra low value series
pvsraOpen : the pvsra open value series
pvsraClose : the pvsra close value series
transperancy : the transparencfy of the vecor candle zones
zoneupdatetype : the zone update type
zonecolor : the zone color if overriden
zonetype : the zone type
borderwidth : the width of the border
coloroverride : if the color overriden
redVectorColor : the user defined red vector color
greenVectorColor : the user defined green vector color
violetVectorColor : the user defined violet vector color
blueVectorColor : the user defined blue vector color
lightGrayCandleColor : the user defined regular up candle color
cleanarr(arr)
clean an array from na values
Parameters:
arr : the array to clean
@return if the array was cleaned
calcPsyLevels(oneWeekMillis, showPsylevels, psyType, sydDST)
calculate the psy levels
4 hour res based on how mt4 does it
mt4 code
int Li_4 = iBarShift(NULL, PERIOD_H4, iTime(NULL, PERIOD_W1, Li_0)) - 2 - Offset;
ObjectCreate("PsychHi", OBJ_TREND, 0, Time , iHigh(NULL, PERIOD_H4, iHighest(NULL, PERIOD_H4, MODE_HIGH, 2, Li_4)), iTime(NULL, PERIOD_W1, 0), iHigh(NULL, PERIOD_H4,
iHighest(NULL, PERIOD_H4, MODE_HIGH, 2, Li_4)));
so basically because the session is 8 hours and we are looking at a 4 hour resolution we only need to take the highest high an lowest low of 2 bars
we use the gmt offset to adjust the 0000-0800 session to Sydney open which is at 2100 during dst and at 2200 otherwize. (dst - spring foward, fall back)
keep in mind sydney is in the souther hemisphere so dst is oposite of when london and new york go into dst
Parameters:
oneWeekMillis : a constant value
showPsylevels : should psy levels be calculated
psyType : the type of Psylevels - crypto or forex
sydDST : is Sydney in DST
@return
Scalping The Bull IndicatorName: Scalping The Bull Indicator
Category: Scalping, Trend Following, Mean Reversion.
Timeframe: 1M, 5M, 30M, 1D depending on the specific technique.
Technical Analysis: The indicator supports the operations of the trader named "Scalping The Bull" which uses price action and exponential moving averages.
Suggested usage: Altcoin showing strong trends for scalping and intra-day trades. Trigger points are used as entry and exit points and to be used to understand when a signal has more power.
It is possible to identify the following conformations:
Shimano: look at the price records of a consecutive series of closings between the EMA 60 and the EMA 223 when a certain threshold is reached. Use the trigger points as price structures to identify entry and exit zones (e.g. breakout of the yesterday high as for entry point) .
Bomb: look at the price registers a percentage variation in a single candle, greater than a threshold such as 2%, in particular on shorter timeframes and around the trigger points.
Viagra: look at there is a consecutive series of closes below the EMA 10.
Downward fake: look when, after a cross under (Death Cross), the price returns above the EMA 223 using the yesterday high as a trigger point.
Emergence: look at the EMA 60 is about to cross over the EMA 223.
Anti-crossing: look at, after an important price rise and a subsequent retracement, the EMA 60 is about to cross under the EMA 223 but a bullish impulse brings the price back above the EMAs.
For Sales: look at two types of situations: 1) when the price falls by more than 10% from the opening price and around the yesterday’s low or 2) when the price falls and then reaches, in the last 5 days, a bigger percentage and then breaks a trigger point.
Colour change: look at the opening price of the session - indicated as a trigger point.
Third touch of EMA 60: look for 3 touches below the EMA 60, and enter when there is a close above the EMA 60.
Third touch of EMA 223: look for 3 touches when there are 3 touches below the EMA 223, and enter when there is a close above the EMA 60.
Bud: look at price when it crosses upwards the average 10 and subsequently at least 2 "rest" candles are between the maximum and minimum of the breaking candle.
Fake on EMA 10: look for the open of a candle higher than the EMA 10, the minimum of the candle lower and the closing price returns above the EMA 10..
For Stop Loss and Profit Targets consider a proper R/R depending on Risk Management, using price structures such as the low of the entering candle and a quick Position Management moving quickly the Stop-Loss at Break-Even.
Configuration:
Market
EMA: The indicator automatically configure itself on market it knows (Binance, Piazza Affari and NASDAQ) otherwise it can be configured manually fo Crypto market (5/10/60/223) or Stock Market (5/10/50/200).
Additional Average: You can display an additional average, e.g. 20-period average.
Chart elements:
Session Separators: indicates the beginning of the current session (in blue)
Background: signals with the background in green an uptrend situation ( 60 > 223) and in red background a downtrend situation (60 < 223).
Trigger points:
Today's highs and lows: draw on the chart the opening price of the daily candle and the highs and lows of the day (high in purple, low in red and open in green)
Yesterday's highs and lows: draw on the chart the opening price of the daily candle, the highs and lows of the previous day (high in yellow, low in red).
Credits
Massimo : for refactoring and suggestions.
PivotsLibrary "Pivots"
This Library focuses in functions related to pivot highs and lows and some of their applications (i.e. divergences, zigzag, harmonics, support and resistance...)
pivots(srcH, srcL, length) Delivers series of pivot highs, lows and zigzag.
Parameters:
srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'
srcL : Source series to look for pivot lows. By default 'low'
length : This value represents the minimum number of candles between pivots. The lower the number, the more detailed the pivot profile. The higher the number, the more relevant the pivots. By default 10
Returns:
zigzagArray(pivotHigh, pivotLow) Delivers a Zigzag series based on alternating pivots. Ocasionally this line could paint a few consecutive lows or highs without alternating. That happens because it's finding a few consecutive Higher Highs or Lower Lows. If to use lines entities instead of series, that could be easily avoided. But in this one, I'm more interested outputting series rather than painting/deleting line entities.
Parameters:
pivotHigh : Pivot high series
pivotLow : Pivot low series
Returns:
zigzagLine(srcH, srcL, colorLine, widthLine) Delivers a Zigzag based on line entities.
Parameters:
srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'
srcL : Source series to look for pivot lows. By default 'low'
colorLine : Color of the Zigzag Line. By default Fuchsia
widthLine : Width of the Zigzag Line. By default 4
Returns: Zigzag printed on screen
divergence(h2, l2, h1, l1, length) Calculates divergences between 2 series
Parameters:
h2 : Series in which to locate divs: Highs
l2 : Series in which to locate divs: Lows
h1 : Series in which to locate pivots: Highs. By default high
l1 : Series in which to locate pivots: Lows. By default low
length : Length used to calculate Pivots: By default 10
Returns:
Modified ATR Indicator [KL]Modified Average True Range (ATR) Indicator
This indicator displays the ATR with relative highs and relative lows statistically determined.
What is ATR:
To know what ATR is, we need to understand what a True Range (TR) is.
- TR at a given bar is the highest distance between points: a) High vs low, b) High vs Close, and c) Low vs Close.
- ATR is the moving average of TRs over a predefined lookback period; 14 is the most commonly used.
- ATR can be mathematically expressed as:
Why is ATR Important
ATR often used to measure volatility; high volatility is indicated by high ATR, vice versa for low. This is a versatile tool allowing traders to determine entry/exit points, as well as the size of stop losses and when to take profits relative to it.
This is an opinion: Through observations, I have noticed that ATR can also indirectly tell us the levels of relative volume. This intuitively makes sense because in order to increase length of TR, high amounts of capital inflow/outflow is required (graphically speaking, high volume is required in order to make lengths of candle sticks longer). The relationship between ATR and relative volume should hold unless the market is illiquid to the extreme that there is no relationship between volume and price.
That said, knowing the relative lows/highs of ATR is very useful. It can be interpreted as:
- Relative high = high volatility, usually during sell offs
- Relative low = decreasing volume, could indicate price consolidation
Instead of arbitrarily determining whether ATR is high/low, this indicator will determine relative highs and relative lows using a simple statistical model.
How relative high/low is determined by this model
This indicator applies two-tailed hypothesis testing to test whether ATR (ie. say lookback of 14) has greatly deviated from a larger sample size (ie. lookback of 50). Assuming ATR is normally distributed and variance is known, then test statistic (z) can be used to determine whether ATR14 is within the critical area under Null Hypothesis: ATR14 == ATR50. If z falls below/above the left/right critical values (ie. 1.645 for a 90% confidence interval), then this is shown by the indicator through using different colors to plot the ATR line.
Double Top/BottomHere is an attempt to identify double top/bottom based on pivot high/lows.
Logic is simple.
Double Bottom:
Last two pivot High Lows make W shape
Last Pivot Low is higher than previous Last Pivot Low.
Last Pivot High is lower than previous last Pivot High.
Price has not gone below Last Pivot Low
Price breaks out of last Pivot High to complete W shape
Double Top:
Last two pivot High Lows make M shape
Last Pivot Low is higher than previous Last Pivot Low.
Last Pivot High is lower than previous last Pivot High.
Price has not gone above Last Pivot High
Price breaks out of last Pivot Low to complete M shape
Prameters:
Parameters PvtLenL , PvtLenR and waitforclose determines pivot points.
FilterPivots clears repetitive pivots formed in same direction before calculating the possible double top/bottom.
For example:
CheckForAbsolutePeaks and AbsolutePeakLoopback works together. When CheckForAbsolutePeaks is enabled, script only generates double bottom or top signal if previous last pivot is absolute high or low for AbsolutePeakLoopback periods.
ConsiderMovingAverage does two things. First, it makes sure that fast moving average and slow moving averages are aligned with the direction we are going to forecast. Second, it makes sure that the crossover happend recently and with last BarCrossoverLimit bars. For example, to call it double bottom, Fast MA should be higher than Slow MA and crossover of FastMA above SlowMA should have happened in last 10 bars (BarCrossoverLimit)
PivotDisplayMode can be Actual, Filtered or None. Actual will display all pivot high low generated. Filtered will only display last 5 pivot high and pivot lows which are filtered . That means, it will remove the repetitive pivots formed without making pivots on the other side.
Welcome and suggestions and feedbacks.
Extrapolated Pivot Connector - Lets Make Support And ResistancesIntroduction
The support and resistance methodology remain the most used one in technical analysis, this is mainly due to its simplicity, and unlike lots of techniques used in technical analysis support and resistances have a certain logic, price can sometimes appear moving into a channel, support and resistances allow the trader to estimate such channel and project it into the future in order to spot points where price might reverse direction.
In this script a simple linear support and resistance indicator is proposed, the indicator is made by connecting past pivot high's/low's to more recent ones and extrapolating the resulting connection. The indicator is also able to make support and resistances by using other indicators as input.
Indicator Settings
The indicator include various settings, the first one being the length setting who determine the sensitivity of the pivot high/low detection, low values of length will detect the pivot high/low of noisy variations, while higher values will detect the pivot high/low of longer term variations.
The figure above use length = 5.
The A-High parameter determine the position of the pivot high to be used as first point of the resistance line, higher values will use oldest pivot high's as first point. The B-High parameter determine the last pivot high. A-Low and B-Low work the same way but affect the support line, a label is drawn on the chart in order to help you determine the position of A/B-High/Low.
Using Other Indicators Output As Input
The "Use Custom Source" option allow you to apply the indicator to other indicators, for example we can use a moving average of period 50 as input
Or the rsi :
Let me help you set the proposed indicator easily to indicators appearing on a separate window, for example the momentum oscillator, add the momentum oscillator to the chart, to do so click on indicator and search "momentum", click on the first result, once on the chart put your mouse pointer on the indicator title, you'll see appearing the hide, settings and delete option, at the right of delete you should see three dots which represent the "more" option, click on it and select "Add indicator on Mom" and select the extrapolated pivot indicator, you can do that by searching it, altho it might be easier to do it by adding the indicator to favorites first, you then only need to select it from your favorites.
You might see a mess on the indicator window, thats because the extrapolated pivot is still using high and low as input, go to the settings of the extrapolated pivot indicator and check "Use Custom Source", it should appear properly now.
Tips And Tricks When Using Support And Resistances
Linear support and resistances assume an approximately linear trend, if you see non linear growth in the price evolution you can use a logarithmic scale in order to have a more linear evolution. To do so right click on the the chart scale and select "Logarithmic" or use the following key shortcut "alt + l".
When applying the indicator to an oscillator centered around zero make sure to adjust the settings of the oscillator such that the peak magnitude of the oscillator is relatively constant over time.
Here a roc of period 9 has non constant peak amplitude, you can see that by looking at the position of the pivots (circles), increasing the period of the roc help capture more significant pivots high's/low's
Conclusion
In this post an indicator aiming to draw support and resistances is presented, the fact that it can be applied to any other indicator is a relatively nice option, and i hope you might make use of this feature.
The code make heavy use of the new features that where integrated on the v4 of pine, such features are really focused on making figures and labels, things i don't really work with, but it is nice to step out my short codes habits, and i don't exclude working with figures in pine in the future.
Thanks for reading !
Liquidity Sweep + FVG Entry Model//@version=5
indicator("Liquidity Sweep + FVG Entry Model", overlay = true, max_labels_count = 500, max_lines_count = 500)
// Just to confirm indicator is loaded, always plot close:
plot(close, color = color.new(color.white, 0))
// ─────────────────────────────────────────────
// PARAMETERS
// ─────────────────────────────────────────────
len = input.int(5, "Liquidity Lookback")
tpMultiplier = input.float(2.0, "TP Distance Multiplier")
// ─────────────────────────────────────────────
// LIQUIDITY SWEEP DETECTION
// ─────────────────────────────────────────────
lowestPrev = ta.lowest(low, len)
highestPrev = ta.highest(high, len)
sweepLow = low < lowestPrev and close > lowestPrev
sweepHigh = high > highestPrev and close < highestPrev
// Plot liquidity levels
plot(lowestPrev, "Liquidity Low", color = color.new(color.blue, 40), style = plot.style_line)
plot(highestPrev, "Liquidity High", color = color.new(color.red, 40), style = plot.style_line)
// ─────────────────────────────────────────────
// DISPLACEMENT DETECTION
// ─────────────────────────────────────────────
bullDisp = sweepLow and close > open and close > close
bearDisp = sweepHigh and close < open and close < close
// ─────────────────────────────────────────────
// FAIR VALUE GAP (FVG)
// ─────────────────────────────────────────────
bullFVG = low > high
bearFVG = high < low
// we’ll store the last FVG lines
var line fvgTop = na
var line fvgBottom = na
// clear old FVG lines when new one appears
if bullFVG or bearFVG
if not na(fvgTop)
line.delete(fvgTop)
if not na(fvgBottom)
line.delete(fvgBottom)
// Bullish FVG box
if bullFVG
fvgTop := line.new(bar_index , high , bar_index, high , extend = extend.right, color = color.new(color.green, 60))
fvgBottom := line.new(bar_index , low, bar_index, low, extend = extend.right, color = color.new(color.green, 60))
// Bearish FVG box
if bearFVG
fvgTop := line.new(bar_index , low , bar_index, low , extend = extend.right, color = color.new(color.red, 60))
fvgBottom := line.new(bar_index , high, bar_index, high, extend = extend.right, color = color.new(color.red, 60))
// ─────────────────────────────────────────────
// ENTRY, SL, TP CONDITIONS
// ─────────────────────────────────────────────
var line slLine = na
var line tp1Line = na
var line tp2Line = na
f_deleteLineIfExists(line_id) =>
if not na(line_id)
line.delete(line_id)
if bullDisp and bullFVG
sl = low
tp1 = close + (close - sl) * tpMultiplier
tp2 = close + (close - sl) * (tpMultiplier * 1.5)
f_deleteLineIfExists(slLine)
f_deleteLineIfExists(tp1Line)
f_deleteLineIfExists(tp2Line)
slLine := line.new(bar_index, sl, bar_index + 1, sl, extend = extend.right, color = color.red)
tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, extend = extend.right, color = color.green)
tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, extend = extend.right, color = color.green)
label.new(bar_index, close, "BUY Entry\nFVG Retest\nSL Below Sweep",
style = label.style_label_up, color = color.new(color.green, 0), textcolor = color.white)
if bearDisp and bearFVG
sl = high
tp1 = close - (sl - close) * tpMultiplier
tp2 = close - (sl - close) * (tpMultiplier * 1.5)
f_deleteLineIfExists(slLine)
f_deleteLineIfExists(tp1Line)
f_deleteLineIfExists(tp2Line)
slLine := line.new(bar_index, sl, bar_index + 1, sl, extend = extend.right, color = color.red)
tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, extend = extend.right, color = color.green)
tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, extend = extend.right, color = color.green)
label.new(bar_index, close, "SELL Entry\nFVG Retest\nSL Above Sweep",
style = label.style_label_down, color = color.new(color.red, 0), textcolor = color.white)
Volume Profile VisionVolume Profile Vision - Complete Description
Overview
Volume Profile Vision (VPV) is an advanced volume profile indicator that visualizes where trading activity has occurred at different price levels over a specified time period. Unlike traditional volume indicators that show volume over time, this indicator displays volume distribution across price levels, helping traders identify key support/resistance zones, fair value areas, and potential reversal points.
What Makes This Indicator Original
Volume Profile Vision introduces several unique features not found in standard volume profile tools:
Dual-Direction Histogram Display:
Unlike conventional volume profiles that only show bars extending in one direction, VPV displays volume bars extending both left (into historical candles) and right (as a traditional histogram). This bi-directional approach allows traders to see exactly where historical price action intersected with high-volume nodes.
Real-Time Candle Highlighting: The indicator dynamically highlights volume bars that intersect with the current candle's price range, making it immediately obvious which volume levels are currently in play.
Four Professional Color Schemes: Each color scheme uses distinct gradient algorithms and visual encoding systems:
Traffic Light: Uses red (POC), green (VA boundaries), yellow (HVN), with grayscale gradients outside the value area
Aurora Glass: Modern cyan-to-magenta gradient with hot magenta POC highlighting
Obsidian Precision: Professional dark theme with white POC and electric cyan accents
Black Ice: Monochromatic cyan family with graduated intensity
Adaptive Transparency System: Automatically adjusts bar transparency based on position relative to value area, with special handling for each color scheme to maintain visual clarity.
Core Concepts & Calculations
Volume Distribution Analysis
The indicator divides the visible price range into user-defined price levels (default: 80 levels) and calculates the total volume traded at each level by:
Scanning back through the specified lookback period (customizable or visible range)
For each historical bar, determining which price levels the bar's high/low range intersects
Accumulating volume for each intersected price level
Optionally filtering by bullish/bearish volume only
Point of Control (POC)
The POC is the price level with the highest traded volume during the analyzed period. This represents the "fairest" price where most traders agreed on value. The indicator marks this with distinct coloring (red in Traffic Light, magenta in Aurora Glass, white in Obsidian Precision, cyan in Black Ice).
Trading Significance: POC acts as a strong magnet for price - markets tend to return to fair value. When price is away from POC, traders watch for:
Mean reversion opportunities when price is far from POC
Rejection signals when price tests POC from above/below
Breakout confirmation when price breaks through and holds beyond POC
Value Area (VA)
The Value Area encompasses the price range where a specified percentage (default: 68%) of all volume traded. This represents the range of "accepted value" by market participants.
Calculation Method:
Start at the POC (highest volume level)
Expand upward and downward, adding adjacent price levels
Always add the level with higher volume next
Continue until accumulated volume reaches the VA percentage threshold
Value Area High (VAH): Upper boundary of accepted value - acts as resistance
Value Area Low (VAL): Lower boundary of accepted value - acts as support
Trading Significance:
Price spending time inside VA indicates market equilibrium
Breakouts above VAH suggest bullish momentum shift
Breakdowns below VAL suggest bearish momentum shift
Returns to VA boundaries often provide high-probability entry zones
High Volume Nodes (HVN)
Price levels with volume exceeding a threshold percentage (default: 80%) of POC volume. These represent areas of strong agreement and consolidation.
Trading Significance:
HVNs act as strong support/resistance zones
Price tends to consolidate at HVNs before making directional moves
Breaking through an HVN often signals strong momentum
Low Volume Nodes (LVN)
Price levels within the Value Area with volume ≤30% of POC volume. These are zones price moved through quickly with minimal consolidation.
Trading Significance:
LVNs represent areas of rejection - price finds little acceptance
Price tends to move rapidly through LVN zones
Useful for setting stop-losses (below LVN for longs, above for shorts)
Can identify potential gaps or "air pockets" in the market structure
Grayscale POC Detection
A secondary POC detection system identifies the highest volume level outside the Value Area (with a 2-level buffer to avoid confusion). This helps identify significant volume accumulation zones that exist beyond the main value area.
How to Use This Indicator
Setup
Choose Lookback Period:
Enable "Use Visible Range" to analyze only what's on your chart
Or set "Fixed Range Lookback Depth" (default: 200 bars) for consistent analysis
Adjust Profile Resolution:
"Number of Price Levels" (default: 80) - higher = more granular analysis, lower = broader zones
Select Color Scheme:
Traffic Light: Best for clear POC/VA/HVN identification
Aurora Glass: Modern aesthetic for dark charts
Obsidian Precision: Professional trader preference
Black Ice: Minimalist single-color family
Visual Customization
Left Extension: How far back the left-side histogram extends into historical candles (default: 490 bars)
Right Extension: Width of the traditional histogram bars on the right (default: 50 bars)
Right Margin: Space between current price bar and histogram (default: 0 for flush alignment)
Left Profile Gap: Space between left-side histogram and candles (default: 0)
Trading Strategies
Strategy 1: Value Area Mean Reversion
Wait for price to move outside the Value Area (above VAH or below VAL)
Look for rejection signals (wicks, bearish/bullish candles)
Enter trades toward the POC
Take profits as price returns to POC or opposite VA boundary
Strategy 2: Breakout Confirmation
Identify when price is consolidating within the Value Area
Wait for a strong close above VAH (bullish) or below VAL (bearish)
Enter on the breakout or on first pullback to the VA boundary
Target previous HVNs or swing highs/lows outside the VA
Strategy 3: POC Support/Resistance
Watch for price approaching the POC level
If approaching from below, look for bullish reversal patterns at POC (support)
If approaching from above, look for bearish reversal patterns at POC (resistance)
Trade in the direction of the bounce with stops beyond the POC
Strategy 4: LVN Fast Movement Zones
Identify LVN zones within the Value Area (marked with "LVN" label)
When price enters an LVN, expect rapid movement through the zone
Avoid entering trades within LVNs
Use LVNs as confirmation of directional momentum
Alert System
The indicator includes 7 customizable alert conditions:
POC Touch: Alerts when price comes within 0.5 ATR of POC
VAH/VAL Touch: Alerts at Value Area boundaries
VA Breakout: Alerts on breakouts above VAH or below VAL
HVN Touch: Alerts when price contacts High Volume Nodes
LVN Entry: Alerts when entering Low Volume zones
POC Shift: Alerts when POC moves to a new price level
Reading the Profile
Price Labels (shown on the right side):
POC: Point of Control - highest volume price level
VAH: Value Area High - upper boundary of accepted value
VAL: Value Area Low - lower boundary of accepted value
LVN: Low Volume Node - expect fast movement through this zone
Color Intensity Interpretation:
Brighter colors = higher volume concentration
Dimmer colors = lower volume
Abrupt color changes = transition between volume zones
Gaps in the histogram = price levels with no trading activity
Technical Details
Volume Accumulation Logic:
For each bar in lookback period:
For each price level:
If bar's high/low range intersects price level:
Add bar's volume to that price level's total
Gradient Algorithm:
Traffic Light: Dual-range piecewise gradient (0-50% and 50-100% volume intensity)
Aurora Glass: Linear cyan-to-magenta interpolation
Obsidian Precision: Dark blue gradient with cyan highlights
Black Ice: Three-stage cyan intensity progression
Real-Time Updates:
The profile recalculates on every bar, including real-time tick data, ensuring the volume distribution always reflects current market structure.
Best Practices
Timeframe Selection: Use higher timeframes (4H, Daily) for swing trading, lower timeframes (5min, 15min) for day trading
Combine with Price Action: Volume profile shows WHERE, price action shows WHEN
Multiple Timeframe Analysis: Check daily VP for major levels, then drill down to intraday for entries
Volume Type Selection: Use "Bullish" volume in uptrends, "Bearish" in downtrends, or "Both" for complete picture
Adjust VA Percentage: 68% (default) captures one standard deviation; try 70% for tighter or 60% for broader value areas
Performance Notes
Maximum bars back: 5000 (handles deep historical analysis)
Maximum boxes: 500 (handles complex profiles)
Optimized calculation: Only recalculates on last bar for efficiency
Real-time capable: Updates as new ticks arrive
HTF Frequency Zone [BigBeluga]🔵 OVERVIEW
HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated.
This tool transforms each higher-timeframe bar into a fully visualized structure:
• Top = HTF high
• Bottom = HTF low
• Midline = HTF Frequency POC
• Color-coded zones = bullish or bearish bias
• Labels = counts of bullish and bearish candles inside the HTF range
It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones.
🔵 CONCEPTS
HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control.
Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level.
Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line.
Directional Bias —
• Bullish HTF zone
• Bearish HTF zone
Internal Candle Counting — Within each HTF period the indicator counts:
• Buy candles (close > open)
• Sell candles (close < open)
This reveals whether intraperiod flow was bullish or bearish.
HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance.
🔵 FEATURES
Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly).
Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range.
100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction.
HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity.
Bull/Bear Coloring —
• Green → Bullish HTF zone.
• Orange → Bearish HTF zone.
Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction.
Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish.
POC Label — Displays frequency count (how many touches) at the POC level.
Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe.
🔵 HOW TO USE
Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish.
Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet.
Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential).
Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure.
Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure.
Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point.
🔵 CONCLUSION
HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones.
Student Wyckoff Target Shooter
**Target Shooter — Equal Move Target Tool (Larry Williams idea)**
**1. What this indicator does**
Target Shooter is a tool that measures the last meaningful price swing and projects an **equal move target** in the direction of the breakout.
The logic is simple:
* The market makes a move from point A to point B (a swing high to a swing low, or vice versa).
* Then price breaks out above or below this swing range.
* Target Shooter takes the size of that swing and **adds it in the direction of the breakout**, showing a logical **price target zone** where the move may:
* slow down,
* react,
* or potentially reverse.
This is a practical implementation of the “Equal Moves” idea often referenced by Larry Williams.
---
**2. Core idea (example)**
Example from the classic explanation:
* Price drops from **80 down to 20** → the move is **60 points**.
* The swing range is now: **High = 80, Low = 20**.
* Later, price **breaks above 80**.
Target Shooter assumes:
> “If the market could move 60 points in one direction, after a breakout it may travel another 60 points in the opposite direction.”
So the upside target becomes:
* Move size: 80 − 20 = 60
* Breakout above 80
* **Target = 80 + 60 = 140**
The indicator finds such swings automatically and draws:
* **UT (Upper Target)** on upside breakouts
* **DT (Down Target)** on downside breakouts
---
**3. What you see on the chart**
1. **Target lines**
* When price breaks **above** a previous swing range, the indicator plots a horizontal **UT (Upper Target)** line — the projected equal move target.
* When price breaks **below** the previous swing range, it plots a **DT (Down Target)** line — the downside target.
* Each line is drawn from the breakout bar and extended to the right for a user-defined number of bars.
2. **Price labels**
* A small label “UT” or “DT” is shown at the end of the line with the exact target price.
* This makes it easy to see where the projected target is without checking the scale.
3. **Optional swing range (debug view)**
* There is an option to display the **swing range** that the target is based on (similar to a Donchian channel on previous bars).
* This shows the upper (swing high) and lower (swing low) boundaries the indicator used to define the last move.
---
**4. Key inputs (plain language)**
* **Swing window length (bars)**
How many bars back the indicator looks to find the last meaningful swing (highest high and lowest low).
This is like the length of a Donchian channel used to define the previous range.
Smaller values → more frequent, shorter targets.
Larger values → bigger swings and more distant targets.
* **Minimum move size (in ticks)**
This is a noise filter.
If the distance between the swing high and swing low is smaller than this threshold, no targets are drawn.
The indicator will only react to moves that are big enough to matter for your trading.
* **Breakout type: Close vs High/Low**
* **Breakout by Close**:
The target appears only when the **bar closes** above/below the swing range.
More conservative and fewer false signals.
* **Breakout by High/Low**:
The target appears as soon as the **high** or **low** of the bar breaks the swing range.
Faster and more aggressive, but more sensitive to noise.
* **Target line length (bars)**
How far to the right the UT/DT lines should be extended.
Shorter length → local target zones.
Longer length → important levels visible far into the future.
* **Appearance settings**
* Separate color, width and style for **UT** and **DT** lines.
* Option to show or hide labels with price and “UT/DT” text.
---
**5. How to use Target Shooter in trading**
> Important: this is **not** an entry signal indicator.
> Target Shooter is a **targeting and context tool**, not a standalone system.
Typical uses:
1. **Planning take-profit zones**
* You already have an entry signal from your own strategy (Wyckoff, Larry Williams patterns, levels, volume, whatever you use).
* Target Shooter shows a **logical equal move target** where the current wave can reasonably “shoot”.
* You can:
* place your main take-profit around the target,
* scale out part of the position,
* tighten stops when price approaches the target.
2. **Finding potential reaction / reversal areas**
* Equal move targets often act as **zones of interest**.
* If price reaches a UT/DT level and then shows weakness/absorption/volume spikes or reversal candles, this might be a good place to take profits or look for counter-trend opportunities (for experienced traders).
3. **Assessing trend strength**
* If price **easily exceeds** the equal move target and keeps going without any reaction, it suggests a very strong trend.
* If price **fails to reach** the target and reverses early, the move is weaker than expected.
---
**6. Timeframes**
Target Shooter can be used on:
* **Intraday** (M5, M15, M30, H1) — for shorter-term targets within the day,
* **Higher timeframes** (H4, D1 and above) — for swing and position trades.
General rule:
The **higher the timeframe and the larger the swing**, the **more important** the target level tends to be.
---
**7. Notes and limitations**
* The indicator does **not** predict the future.
It simply projects a geometric equal move from the last swing.
* It should be combined with your own trading framework:
* support/resistance,
* Wyckoff / VSA,
* trend tools,
* volume/flow, etc.
* Always keep proper risk management.
A target is a **scenario**, not a guarantee.
.
DeepFlow Zones SNIPER# DeepFlow Zones SNIPER - Documentation & Cheatsheet
## 🎯 DeepFlow Zones - SNIPER Edition
**Horizontal Limit Order Zones | Institutional FVG + Single Prints**
> **Philosophy:** *Only mark the zones where institutions MUST have orders. Everything else is noise.*
---
## ⚡ QUICK CHEATSHEET
```
┌─────────────────────────────────────────────────────────────────────────────┐
│ DEEPFLOW ZONES SNIPER - QUICK REFERENCE │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 🎯 ZONE CREATION REQUIREMENTS (ALL MUST BE TRUE): │
│ ══════════════════════════════════════════════════ │
│ ✓ FVG exists → Gap between candle low and 2-bar-ago high │
│ ✓ Gap Size → At least 30% of ATR (significant gap) │
│ ✓ Impulse Candle → 1.8x average range + 65% body ratio │
│ ✓ Volume → 2.0x+ average on impulse candle │
│ ✓ Direction → Middle candle confirms gap direction │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 📊 ZONE TYPES: │
│ ══════════════ │
│ 🟢 BULLISH ZONE → Green box BELOW price (buy zone) │
│ 🔴 BEARISH ZONE → Red box ABOVE price (sell zone) │
│ ⚫ TESTED ZONE → Gray box (CE level touched) │
│ ⬛ BROKEN ZONE → Dark gray (price closed through) │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ⭐ SINGLE PRINT LINES: │
│ ══════════════════════ │
│ Requirements: │
│ • Range 1.8x+ average │
│ • Body 65%+ of range │
│ • Volume 2.0x+ average │
│ • Delta 60%+ confirms direction │
│ │
│ Usage: │
│ • Gold lines at HIGH and LOW of impulse candle │
│ • Price often returns to these levels │
│ • Use as support/resistance for entries │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 🚨 ENTRY SIGNALS: │
│ ═══════════════════ │
│ BUY🎯 appears when: │
│ • Price is inside BULLISH zone │
│ • Delta shows 60%+ buy dominance │
│ • Volume is 1.5x+ average │
│ │
│ SELL🎯 appears when: │
│ • Price is inside BEARISH zone │
│ • Delta shows 60%+ sell dominance │
│ • Volume is 1.5x+ average │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 📐 ZONE ANATOMY: │
│ ═════════════════ │
│ │
│ BULLISH FVG ZONE: BEARISH FVG ZONE: │
│ │
│ Current Low ───────────────── ───────────────── 2-bar-ago Low │
│ ┌─────────────────────────┐ ┌─────────────────────────┐ │
│ │ █████ ZONE █████████████│ │ █████ ZONE █████████████│ │
│ │- - - CE (50%) - - - - - │ │- - - CE (50%) - - - - - │ │
│ │ ████████████████████████│ │ ████████████████████████│ │
│ └─────────────────────────┘ └─────────────────────────┘ │
│ 2-bar-ago High ────────────── ───────────────── Current High │
│ │
│ Entry: At or near CE line Entry: At or near CE line │
│ Stop: Below zone bottom Stop: Above zone top │
│ Target: 1:1 or 2:1 R:R Target: 1:1 or 2:1 R:R │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ⛔ ZONE IS INVALID WHEN: │
│ ═════════════════════════ │
│ ✗ Gap size < 30% of ATR (too small) │
│ ✗ No impulse candle (weak move) │
│ ✗ Volume < 2x average (retail move) │
│ ✗ Zone age > 50 bars (stale) │
│ ✗ Price already closed through zone │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
```
---
## 📋 DETAILED DOCUMENTATION
### What Makes SNIPER Zones Different?
Standard FVG indicators create zones everywhere. SNIPER zones only appear when there's **institutional footprint**:
| Filter | Standard FVG | SNIPER Zones | Why It Matters |
|--------|-------------|--------------|----------------|
| Gap Size | Any gap | **≥30% ATR** | Significant imbalance |
| Volume | Optional | **2.0x+ avg** | Institutional volume |
| Impulse | None | **1.8x range** | Real momentum |
| Body | None | **65%+ ratio** | Conviction candle |
| Max Zones | 20-50 | **10 max** | Only the best |
| Zone Life | 100 bars | **50 bars** | Fresh zones only |
---
### How Zones Are Created
```
BULLISH FVG FORMATION:
═══════════════════════
Bar 0 (2 bars ago): Bar 1 (Impulse): Bar 2 (Current):
┌─────┐ ┌─────┐ ┌─────┐
│ │ │█████│ │ │
│ │ HIGH ────── │█████│ │ │
│ │ │ │█████│ │ │
└─────┘ │ │█████│ │ │── LOW
│ └─────┘ └─────┘
│ │
└──────── GAP ────────────────┘
(FVG ZONE)
Requirements Met:
✓ Current LOW > 2-bar-ago HIGH (gap exists)
✓ Gap ≥ 30% of ATR (significant)
✓ Bar 1 range ≥ 1.8x average (impulse)
✓ Bar 1 body ≥ 65% of range (conviction)
✓ Bar 1 volume ≥ 2x average (institutional)
✓ Bar 1 was bullish (direction confirms)
RESULT: VALID SNIPER BULLISH ZONE CREATED
```
---
### Single Print Lines Explained
Single Prints mark **institutional impulse candles** where price moved so fast that no orders were filled at those levels. These levels often act as magnets for price.
```
SINGLE PRINT CANDLE:
════════════════════
HIGH ═══════════════════════════════ (Gold Line)
│
┌─────────────────┤
│█████████████████│ ← Large body (65%+)
│█████████████████│ ← Strong volume (2x+)
│█████████████████│ ← Clear delta (60%+)
│█████████████████│
└─────────────────┤
│
LOW ═══════════════════════════════ (Gold Line)
These horizontal lines extend 500 bars into the future.
Price often returns to test these levels.
```
---
### Entry Strategy
#### Zone Entry Checklist
```
□ Zone is active (green/red, not gray)
□ Price enters zone from outside
□ Wait for entry signal (BUY🎯 or SELL🎯)
□ Verify: Delta + Volume confirming
□ Enter at CE line (dotted white line)
□ Stop below/above zone
□ Target: Opposite side of zone (1:1) or 2:1
```
#### Single Print Entry
```
□ Price returns to single print level
□ Look for reaction (rejection candle)
□ Combine with GRA signal if possible
□ Enter on confirmation candle
□ Stop beyond the single print line
```
---
### Table Legend
| Field | Reading | Color Meaning |
|-------|---------|---------------|
| **Delta** | Buy/Sell % | 🟢 Buy dom, 🔴 Sell dom, ⚪ Neutral |
| **Vol** | Volume ratio | 🟢 ≥2x, ⚪ <2x |
| **Buy ⬚** | Active buy zones | Count of bullish zones |
| **Sell ⬚** | Active sell zones | Count of bearish zones |
| **Zone** | Current position | AT BUY / AT SELL / --- |
| **Impulse** | Current bar status | 🟡 Yes (impulse), ⚫ No |
---
### Zone States
| State | Visual | Meaning | Action |
|-------|--------|---------|--------|
| **Fresh** | Bright color | Never tested | Best entries |
| **Tested** | Gray | CE touched | Still valid, less reliable |
| **Broken** | Dark gray | Price closed through | Invalid, ignore |
---
### Integration with GRA v5
The magic happens when you combine both indicators:
```
HIGHEST PROBABILITY SETUP:
══════════════════════════
1. DeepFlow shows active zone (green/red box)
2. Price enters the zone
3. GRA5 fires a signal INSIDE the zone
4. Delta confirms on both indicators
5. Volume confirms on both indicators
This is your SNIPER entry. Take it.
Example:
┌─────────────────────────────────────────┐
│ Price enters BULLISH zone │
│ GRA5 shows: A🎯 LONG │
│ DFZ shows: BUY🎯 │
│ Table: Vol 2.1x, Delta 67%B │
│ │
│ ACTION: Full size LONG at CE │
│ STOP: Below zone bottom │
│ TARGET: 2:1 R:R │
└─────────────────────────────────────────┘
```
---
### Settings by Instrument
| Instrument | Vol Mult | Gap ATR | Impulse | Max Zones |
|------------|----------|---------|---------|-----------|
| **NQ/ES** | 2.0x | 30% | 1.8x | 10 |
| **YM** | 2.0x | 30% | 1.8x | 10 |
| **GC** | 2.5x | 40% | 2.0x | 8 |
| **BTC** | 2.0x | 25% | 1.5x | 10 |
---
### Common Mistakes
| Mistake | Why It's Bad | Solution |
|---------|-------------|----------|
| Trading every zone | Most zones fail | Wait for entry signal |
| Entering at zone edge | Wrong R:R | Enter at CE (middle) |
| Ignoring broken zones | Already invalidated | Gray = don't trade |
| No delta confirmation | Could be false zone | BUY🎯/SELL🎯 required |
| Too many zones | Chart noise | Max 10 zones |
---
### Alert Configuration
| Alert | Priority | Action |
|-------|----------|--------|
| 🎯 BUY/SELL ZONE ENTRY | 🔴 High | Check chart immediately |
| NEW BULL/BEAR ZONE | 🟠 Medium | Note new zone location |
| 🎯 SINGLE PRINT | 🟢 Low | Mark potential S/R |
---
### Pine Script v6 Notes
This indicator uses Pine Script v6 features:
- Array-based zone management
- `request.security_lower_tf()` for delta
- Dynamic zone state tracking
- Efficient garbage collection
**Minimum TradingView Plan:** Pro (for intrabar data)
---
## 🏆 Golden Rules
1. **Fewer zones = Better zones.** If you see more than 5 active zones, your settings are too loose.
2. **Fresh zones > Tested zones.** The first touch is always the best.
3. **CE is king.** The middle of the zone (50% level) is your entry point.
4. **Zone + GRA signal = Sniper entry.** This confluence is what we're hunting for.
5. **Gray zones don't exist.** Once broken, pretend the zone was never there.
---
*© Alexandro Disla - DeepFlow Zones SNIPER*
*Pine Script v6 | TradingView*
Floor Trader PivotsGenerated by: Claude Sonnet 4.5
Pine Script that draws Floor Trader Pivots using 'daily' price levels with configurable options.
Key Features:
Pivot Calculation: Uses the classic formula: Pivot = (High + Low + Close) / 3
Resistance levels: R1, R2, R3
Support levels: S1, S2, S3
Optional mid-pivots between main levels
Configurable Settings:
Timeframe: Choose Daily, Weekly, or Monthly pivots
Display toggles: Show/hide individual levels
Colors: Customize each level's color
Line style: Solid, dashed, or dotted
Line width: 1-5 pixels
Extension: None, right, or both directions
Labels: Show/hide with left or right positioning
Calculations:
R1 = 2×Pivot - Low
R2 = Pivot + (High - Low)
R3 = R1 + (High - Low)
S1 = 2×Pivot - High
S2 = Pivot - (High - Low)
S3 = S1 - (High - Low)
Uses daily price levels specifically.
Added daily-specific data fetching: The script now explicitly fetches both current day and previous day's high, low, and close prices
Calculations use daily data: All pivot calculations now use prevDailyH, prevDailyL, and prevDailyC (previous day's high, low, close)
Kept the timeframe input: You can still change it if you want weekly or monthly pivots, but it now defaults to and emphasizes daily calculations
The Floor Trader Pivots will now always be based on the previous day's price action, which is the traditional method floor traders use. This is particularly useful for intraday trading as these levels update daily and provide key support/resistance zones.
청산맵[by좐주노]//@version=5
indicator("청산맵 "
, overlay = true
, max_lines_count = 500
, max_labels_count = 500
, max_boxes_count = 500)
//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
length = input(14, '청산기간 기준 ')
area = input.string('꼬리기준', '측정 범위', options = )
intraPrecision = input(false, 'Intrabar Precision', inline = 'intrabar')
intrabarTf = input.timeframe('1', '' , inline = 'intrabar')
filterOptions = input.string('Count', 'Filter Areas By', options = , inline = 'filter')
filterValue = input.float(0, '' , inline = 'filter')
//Style
showTop = input(true, 'Swing High' , inline = 'top', group = 'Style')
topCss = input(color.red, '' , inline = 'top', group = 'Style')
topAreaCss = input(color.new(color.red, 50), 'Area', inline = 'top', group = 'Style')
showBtm = input(true, 'Swing Low' , inline = 'btm', group = 'Style')
btmCss = input(color.teal, '' , inline = 'btm', group = 'Style')
btmAreaCss = input(color.new(color.teal, 50), 'Area', inline = 'btm', group = 'Style')
labelSize = input.string('Tiny', 'Labels Size', options = , group = 'Style')
//-----------------------------------------------------------------------------}
//Functions
//-----------------------------------------------------------------------------{
n = bar_index
get_data()=>
= request.security_lower_tf(syminfo.tickerid, intrabarTf, get_data())
get_counts(condition, top, btm)=>
var count = 0
var vol = 0.
if condition
count := 0
vol := 0.
else
if intraPrecision
if n > length
if array.size(v ) > 0
for in v
vol += array.get(l , index) < top and array.get(h , index) > btm ? element : 0
else
vol += low < top and high > btm ? volume : 0
count += low < top and high > btm ? 1 : 0
set_label(count, vol, x, y, css, lbl_style)=>
var label lbl = na
var label_size = switch labelSize
'Tiny' => size.tiny
'Small' => size.small
'Normal' => size.normal
target = switch filterOptions
'Count' => count
'Volume' => vol
if ta.crossover(target, filterValue)
lbl := label.new(x, y, str.tostring(vol, format.volume)
, style = lbl_style
, size = label_size
, color = #00000000
, textcolor = css)
if target > filterValue
label.set_text(lbl, str.tostring(vol, format.volume))
set_level(condition, crossed, value, count, vol, css)=>
var line lvl = na
target = switch filterOptions
'Count' => count
'Volume' => vol
if condition
if target < filterValue
line.delete(lvl )
else if not crossed
line.set_x2(lvl, n - length)
lvl := line.new(n - length, value, n, value
, color = na)
if not crossed
line.set_x2(lvl, n+3)
if crossed and not crossed
line.set_x2(lvl, n)
line.set_style(lvl, line.style_dashed)
if target > filterValue
line.set_color(lvl, css)
set_zone(condition, x, top, btm, count, vol, css)=>
var box bx = na
target = switch filterOptions
'Count' => count
'Volume' => vol
if ta.crossover(target, filterValue)
bx := box.new(x, top, x + count, btm
, border_color = na
, bgcolor = css)
if target > filterValue
box.set_right(bx, x + count)
//-----------------------------------------------------------------------------}
//Global variables
//-----------------------------------------------------------------------------{
//Pivot high
var float ph_top = na
var float ph_btm = na
var bool ph_crossed = na
var ph_x1 = 0
var box ph_bx = box.new(na,na,na,na
, bgcolor = color.new(topAreaCss, 80)
, border_color = na)
//Pivot low
var float pl_top = na
var float pl_btm = na
var bool pl_crossed = na
var pl_x1 = 0
var box pl_bx = box.new(na,na,na,na
, bgcolor = color.new(btmAreaCss, 80)
, border_color = na)
//-----------------------------------------------------------------------------}
//Display pivot high levels/blocks
//-----------------------------------------------------------------------------{
ph = ta.pivothigh(length, length)
//Get ph counts
= get_counts(ph, ph_top, ph_btm)
//Set ph area and level
if ph and showTop
ph_top := high
ph_btm := switch area
'Wick Extremity' => math.max(close , open )
'Full Range' => low
ph_x1 := n - length
ph_crossed := false
box.set_lefttop(ph_bx, ph_x1, ph_top)
box.set_rightbottom(ph_bx, ph_x1, ph_btm)
else
ph_crossed := close > ph_top ? true : ph_crossed
if ph_crossed
box.set_right(ph_bx, ph_x1)
else
box.set_right(ph_bx, n+3)
if showTop
//Set ph zone
set_zone(ph, ph_x1, ph_top, ph_btm, ph_count, ph_vol, topAreaCss)
//Set ph level
set_level(ph, ph_crossed, ph_top, ph_count, ph_vol, topCss)
//Set ph label
set_label(ph_count, ph_vol, ph_x1, ph_top, topCss, label.style_label_down)
//-----------------------------------------------------------------------------}
//Display pivot low levels/blocks
//-----------------------------------------------------------------------------{
pl = ta.pivotlow(length, length)
//Get pl counts
= get_counts(pl, pl_top, pl_btm)
//Set pl area and level
if pl and showBtm
pl_top := switch area
'Wick Extremity' => math.min(close , open )
'Full Range' => high
pl_btm := low
pl_x1 := n - length
pl_crossed := false
box.set_lefttop(pl_bx, pl_x1, pl_top)
box.set_rightbottom(pl_bx, pl_x1, pl_btm)
else
pl_crossed := close < pl_btm ? true : pl_crossed
if pl_crossed
box.set_right(pl_bx, pl_x1)
else
box.set_right(pl_bx, n+3)
if showBtm
//Set pl zone
set_zone(pl, pl_x1, pl_top, pl_btm, pl_count, pl_vol, btmAreaCss)
//Set pl level
set_level(pl, pl_crossed, pl_btm, pl_count, pl_vol, btmCss)
//Set pl labels
set_label(pl_count, pl_vol, pl_x1, pl_btm, btmCss, label.style_label_up)
//-----------------------------------------------------------------------------}
VWAP – Pivot Pairs (SECONDS‑BASED RESET)VWAP – Pivot Pairs (SECONDS-BASED RESET) is a Pine Script v6 indicator for TradingView that combines pivot-based breakout detection with resettable VWAP (Volume Weighted Average Price) calculations over user-defined rolling time periods in seconds.It identifies high and low swing pivots via breakout logic, then calculates two VWAP lines per anchor:One using high/low as the price source,
One using close as the price source.
These form "pivot pairs" that reset automatically at the start of each custom-duration period (e.g., every 300 seconds), starting from a user-defined UTC time of day (default: 09:30 UTC).Visuals include:Colored VWAP lines (high pair: red, low pair: green),
Semi-transparent fill zones between each pair,
Optional toggles to show/hide high or low pairs.
Use CasesUse Case
Description
Intraday Scalping (1–15 min charts)
Use 60–300 second resets to capture micro-trends within larger sessions. VWAP pairs act as dynamic support/resistance after breakouts.
High-Frequency / Algo Validation
Backtest strategies on tick/second charts where traditional session resets fail. Align resets with exchange micro-sessions or volatility windows.
Opening Range Breakout (ORB) Enhancement
Set period_seconds = 1800 (30 min) and start time = 09:30 UTC → VWAP builds only on first 30 mins post-open, then floats. Pairs show deviation from ORB mean.
Range-Bound Market Analysis
In choppy markets, VWAP pairs converge near fair value. Divergence signals potential breakout. Fill color intensity shows conviction.
Multi-Timeframe Confluence
Overlay on 1-second chart with 300s reset → matches 5-minute structure. Use close-based VWAP for entries, high/low-based for stops.
Key Features SummaryFeature
Function
period_seconds
Rolling window length in seconds (e.g., 300 = 5 min)
period_start_time
UTC time-of-day anchor (default: 09:30)
new_period logic
Triggers full reset of pivots + VWAP on exact second boundary
breakingHigher / breakingLower
Detects confirmed breakouts (not just close above high)
Dual VWAP per anchor
ta.vwap(high) and ta.vwap(close) for range-aware mean
Fill zones
Visual value area between high/close VWAPs
Toggle visibility
Independently show/hide high or low pivot pairs
How It Works – Step-by-StepTime Engine Converts user inputs → milliseconds
Calculates current period start time using integer division from epoch
Detects exact bar when new period begins (new_period = true)
On New Period Resets both high/low anchors to current bar’s h and l
Forces VWAP recalculation from this bar forward
Breakout Detection Only triggers on strong candles (rising/falling, non-doji)
Requires open/close beyond prior pivot → avoids wicks-only breaks
VWAP Accumulation ta.vwap(source, reset_condition) restarts when anchor resets
Two sources per side → shows where volume clustered (at highs vs closes)
Plotting Four lines + two fills
Clean, customizable, overlay-friendly
Pro TipsUse on Heikin Ashi for smoother breakout signals.
Combine with volume profile to validate VWAP clusters.
For crypto, set period_start_time = 0 (00:00 UTC) for clean 4-hour resets.
Add alerts on new_period or breakingHigher for automation.
In short: This is a precision VWAP tool for time-boxed, pivot-driven mean reversion and breakout trading, ideal for scalpers, day traders, and algo developers needing sub-session granularity.
Momentum Breakout Filter + ATR ZonesMomentum Breakout Filter + ATR Zones - User Guide
What This Indicator Does
This indicator helps you with your MACD + volume momentum strategy by:
Filtering out fake breakouts - Shows ⚠️ warnings when breakouts lack confirmation
Showing clear entry signals - 🚀 LONG and 🔻 SHORT labels when all conditions align
Automatic stop loss & profit targets - Based on ATR (Average True Range)
Visual trend confirmation - Background color + EMA alignment
Signal Types
🚀 LONG Entry Signal (Green Label)
Appears when ALL conditions met:
✅ MACD crosses above signal line
✅ Volume > 1.5× average
✅ Price > EMA 9 > EMA 21 > EMA 200 (bullish trend)
✅ Price closes above recent 20-bar high
🔻 SHORT Entry Signal (Red Label)
Appears when ALL conditions met:
✅ MACD crosses below signal line
✅ Volume > 1.5× average
✅ Price < EMA 9 < EMA 21 < EMA 200 (bearish trend)
✅ Price closes below recent 20-bar low
⚠️ FAKE Breakout Warning (Orange Label)
Appears when price breaks high/low BUT lacks confirmation:
❌ Low volume (below 1.5× average), OR
❌ Wick break only (didn't close through level), OR
❌ MACD not aligned with direction
Hover over the warning label to see what's missing!
ATR Stop Loss & Targets
When you get a signal, colored lines automatically appear:
Long Position
Red solid line = Stop Loss (Entry - 1.5×ATR)
Green dashed lines = Profit Targets:
Target 1: Entry + 2×ATR
Target 2: Entry + 3×ATR
Target 3: Entry + 4×ATR
Short Position
Red solid line = Stop Loss (Entry + 1.5×ATR)
Green dashed lines = Profit Targets:
Target 1: Entry - 2×ATR
Target 2: Entry - 3×ATR
Target 3: Entry - 4×ATR
The lines move with each bar until you exit the position.
Chart Elements
Moving Averages
Blue line = EMA 9 (fast)
Orange line = EMA 21 (medium)
White line = EMA 200 (trend filter)
Volume
Yellow bars = High volume (above threshold)
Gray bars = Normal volume
Background Color
Light green = Bullish trend (all EMAs aligned up)
Light red = Bearish trend (all EMAs aligned down)
No color = Neutral/mixed
MACD (Bottom Pane)
Green/Red columns = MACD Histogram
Blue line = MACD Line
Orange line = Signal Line
Info Dashboard (Bottom Right)
ItemWhat It ShowsVolumeCurrent volume vs average (✓ HIGH or ✗ Low)MACDDirection (BULLISH or BEARISH)TrendEMA alignment (BULL, BEAR, or NEUTRAL)ATRCurrent ATR value in dollarsPositionCurrent position (LONG, SHORT, or NONE)R:RRisk-to-Reward ratio (shows when in position)
How To Use It
Basic Workflow
Wait for setup
Watch for MACD to approach signal line
Volume should be building
Price should be near EMA structure
Get confirmation
Wait for 🚀 LONG or 🔻 SHORT label
Check dashboard shows "✓ HIGH" volume
Verify trend is aligned (green or red background)
Enter the trade
Enter when signal appears
Note your stop loss (red line)
Note your targets (green dashed lines)
Manage the trade
Exit at first target for partial profit
Move stop to breakeven
Trail remaining position
What To Avoid
❌ Don't trade when you see:
⚠️ FAKE labels (wait for confirmation)
Neutral background (no clear trend)
"✗ Low" volume in dashboard
MACD and Trend not aligned
Settings You Can Adjust
Volume Sensitivity
High Volume Threshold: Default 1.5×
Increase to 2.0× for cleaner signals (fewer trades)
Decrease to 1.2× for more signals (more trades)
Fake Breakout Filters
You can toggle these ON/OFF:
Volume Confirmation: Requires high volume
Close Through: Requires candle close, not just wick
MACD Alignment: Requires MACD direction match
Tip: Turn all three ON for highest quality signals
ATR Stop/Target Multipliers
Default settings (conservative):
Stop Loss: 1.5×ATR
Target 1: 2×ATR (1.33:1 R:R)
Target 2: 3×ATR (2:1 R:R)
Target 3: 4×ATR (2.67:1 R:R)
Aggressive traders might use:
Stop Loss: 1.0×ATR
Target 1: 2×ATR (2:1 R:R)
Target 2: 4×ATR (4:1 R:R)
Conservative traders might use:
Stop Loss: 2.0×ATR
Target 1: 3×ATR (1.5:1 R:R)
Target 2: 5×ATR (2.5:1 R:R)
Example Trade Scenarios
Scenario 1: Perfect Long Setup ✅
Stock consolidating near EMA 21
MACD curling up toward signal line
Volume bar turns yellow (high volume)
🚀 LONG label appears
Red stop line and green target lines appear
Result: High probability trade
Scenario 2: Fake Breakout Avoided ✅
Price breaks above resistance
Volume is normal (gray bar)
⚠️ FAKE label appears (hover shows "Low volume")
No entry signal
Price falls back below breakout level
Result: Avoided losing trade
Scenario 3: Premature Entry ❌
MACD crosses up
Volume is high
BUT trend is NEUTRAL (no background color)
No signal appears (trend filter blocks it)
Result: Avoided choppy/sideways market
Quick Reference
Entry Checklist
🚀 or 🔻 label on chart
Dashboard shows "✓ HIGH" volume
Dashboard shows aligned MACD + Trend
Colored background (green or red)
ATR lines visible
No ⚠️ FAKE warning
Exit Strategy
Target 1 (2×ATR): Take 50% profit, move stop to breakeven
Target 2 (3×ATR): Take 25% profit, trail stop
Target 3 (4×ATR): Take remaining profit or trail aggressively
Stop Loss: Exit entire position if hit
Alerts
Set up these alerts:
Long Entry: Fires when 🚀 LONG signal appears
Short Entry: Fires when 🔻 SHORT signal appears
Fake Breakout Warning: Fires when ⚠️ appears (optional)
Tips for Success
Use on 5-minute charts for day trading momentum plays
Only trade high volume stocks ($5-20 range works best)
Wait for full confirmation - don't jump early
Respect the stop loss - it's calculated based on volatility
Scale out at targets - don't hold for home runs
Avoid trading first 15 minutes - let market settle
Best during 10am-11am and 2pm-3pm - peak momentum times
Common Questions
Q: Why didn't I get a signal even though MACD crossed?
A: All conditions must be met - check dashboard for what's missing (likely volume or trend alignment)
Q: Can I use this on any timeframe?
A: Yes, but it's designed for 5-15 minute charts. On daily charts, adjust ATR multipliers higher.
Q: The stop loss seems too tight, can I widen it?
A: Yes, increase "Stop Loss (×ATR)" from 1.5 to 2.0 or 2.5 in settings.
Q: I keep seeing FAKE warnings but price keeps going - what gives?
A: The filter is conservative. You can disable some filters in settings, but expect more false signals.
Q: Can I use this for swing trading?
A: Yes, but use larger timeframes (1H or 4H) and adjust ATR multipliers up (3× for stops, 6-9× for targets).
Experimental Supertrend [CHE]Experimental Supertrend — Combines EMA crossovers for trend regime detection with an adaptive ATR-based hull that selects the narrowest band to contain recent highs and lows, minimizing false breaks in varying volatility.
Summary
This indicator overlays a dynamic supertrend boundary around a midline derived from dual EMAs, using EMA crossovers to switch between bullish and bearish regimes. The hull adapts by evaluating multiple ATR periods and selecting the tightest one that fully encloses price action over a specified window, which helps in creating more stable trend lines that hug price without excessive gaps or breaches. Fills between the midline and hull provide visual cues for trend strength, darkening temporarily after regime changes to highlight transitions. Alerts trigger on crossovers, and markers label entry points, making it suitable for trend-following setups where standard supertrends might whipsaw. Overall, it offers robustness through auto-adjustment, reducing sensitivity to noise while maintaining responsiveness to genuine shifts.
Motivation: Why this design?
Standard supertrend indicators often flip prematurely in choppy markets due to fixed multipliers that do not account for localized volatility patterns, leading to frequent false signals and eroded confidence in trends. This design addresses that by incorporating an EMA-based regime filter for directional bias and an auto-adaptive hull that dynamically tunes the band width based on recent price containment needs. By prioritizing the narrowest effective enclosure, it avoids over-wide bands in calm periods that cause lag or under-wide ones in volatility spikes that invite breaks, providing a more consistent trailing reference without manual tweaking.
What’s different vs. standard approaches?
- Reference baseline: Diverges from the classic ATR-multiplier supertrend, which uses a single fixed period and constant factor applied to close or high/low deviations.
- Architecture differences:
- Auto-selection from candidate ATR lengths to find the optimal period for current conditions.
- Dynamic multiplier clamped between floor and cap values, adjusted by padding to ensure reliable containment.
- Regime-gated rendering, where hull position flips based on EMA relative positioning.
- Post-transition visual fading to emphasize change points without altering core logic.
- Practical effect: Charts show tighter, more reactive bands that rarely breach during trends, reducing visual clutter from flips; the adaptive nature means less intervention across assets, as the hull self-adjusts to volatility clusters rather than applying a one-size-fits-all scale.
How it works (technical)
The indicator first computes two EMAs from close prices using lengths derived from a preset pair or manual inputs, establishing a midline as their average. This midline serves as the central reference for the hull. True range values are then smoothed into multiple ATR candidates using exponential weighting over the specified lengths. For each candidate, deviations of recent highs and lows from the midline are ratioed against the ATR to determine a required multiplier that would enclose all extremes in the containment window—the highest ratio plus padding sets the base, clamped to user-defined bounds. Among valid candidates (those with sufficient history), the one yielding the narrowest overall band width is selected. The hull boundaries are then offset from the midline by this multiplier times the chosen ATR, and further smoothed with a fixed EMA to reduce jitter. Regime direction from EMA comparison gates which boundary acts as support or resistance, with initialization seeding arrays on the first bar to handle state persistence. No higher timeframe data is used, so all logic runs on the chart's native bars without lookahead.
Parameter Guide
EMA Pair — Selects preset lengths for fast and slow EMAs, influencing regime sensitivity and midline stability. Default: "21/55". Trade-offs/Tips: Faster pairs like "9/21" increase cross frequency for scalping but raise false signals; slower like "50/200" smooths for swings, potentially missing early turns. Use Manual for fine control.
Manual Fast — Sets fast EMA length when Manual mode is active; shorter values make regime switches quicker. Default: 21. Trade-offs/Tips: Lower than 10 risks over-reactivity; pair with slow at least double for clear separation.
Manual Slow — Sets slow EMA length when Manual mode is active; longer values anchor the midline more firmly. Default: 55. Trade-offs/Tips: Above 100 adds lag in trends; balance with fast to avoid perpetual neutrality.
ATR Lengths (comma-separated) — Defines candidate periods for ATR smoothing; more options allow finer auto-selection. Default: "7,10,14,21,28,35". Trade-offs/Tips: Fewer candidates speed computation but may miss optimal fits; keep under 10 for efficiency.
Containment Window — Number of recent bars the hull must fully enclose highs/lows of; larger windows favor stability. Default: 50. Trade-offs/Tips: Shorter (under 20) adapts faster to breaks but increases breach risk; longer smooths but delays response.
Min Multiplier Floor — Lowest allowed multiplier for hull width; prevents overly tight bands in low volatility. Default: 0.5. Trade-offs/Tips: Raise to 0.75 for conservative enclosures; too low allows pinches that flip easily.
Max Multiplier Cap — Highest allowed multiplier; caps expansion in spikes to avoid wide, lagging bands. Default: 1.0. Trade-offs/Tips: Lower to 0.75 tightens overall; higher permits more room but risks detachment from price.
Padding (+) — Adds buffer to the auto-multiplier for safer containment without exact touches. Default: 0.05. Trade-offs/Tips: Increase to 0.10 in gappy markets; minimal values hug closer but may still breach on outliers.
Fill Between (Mid ↔ Supertrend) — Toggles shaded area between midline and active hull for trend visualization. Default: true. Trade-offs/Tips: Disable for cleaner charts; pairs well with transparency tweaks.
Base Fill Transparency (0..100) — Sets default opacity of fills; higher values make them subtler. Default: 80. Trade-offs/Tips: Under 50 overwhelms price action; adjust with darken boost for emphasis.
Darken on Trend Change — Enables temporary opacity increase after regime shifts to spotlight transitions. Default: true. Trade-offs/Tips: Off for steady visuals; on aids spotting reversals in real-time.
Darken Fade Bars — Duration in bars for the darken effect to ramp back to base; longer prolongs highlight. Default: 8. Trade-offs/Tips: Shorter (4-6) for fast-paced charts; longer holds attention on changes.
Darken Boost at Change (Δ transp) — Intensity of opacity reduction at crossover; higher values make shifts more prominent. Default: 50. Trade-offs/Tips: Cap at 70 to avoid blackout; tune down if fades obscure details.
Show Supertrend Line — Displays the active hull boundary as a line. Default: true. Trade-offs/Tips: Hide for fill-only views; linewidth fixed at 3 for visibility.
Show EMA Cross Markers — Places circles and labels at crossover points for entry cues. Default: true. Trade-offs/Tips: Disable in clutter; labels show "Buy"/"Sell" at absolute positions.
Alert: EMA Cross Up (Long) — Triggers notification on bullish crossover. Default: true. Trade-offs/Tips: Pair with filters; once-per-bar frequency.
Alert: EMA Cross Down (Short) — Triggers notification on bearish crossover. Default: true. Trade-offs/Tips: Use for exits; ensure broker integration.
Show Debug — Reveals internal diagnostics like selected ATR details (if implemented). Default: false. Trade-offs/Tips: Enable for troubleshooting selections; minimal overhead.
Reading & Interpretation
Bullish regime shows a green line below price as support, with upward fill from midline; bearish uses red line above as resistance, downward fill. Crossovers flip the active boundary, marked by tiny green/red circles and "Buy"/"Sell" labels at the hull level. Fills start at base transparency but darken sharply at changes, fading over the specified bars to signal fresh momentum. If the hull rarely breaches during trends, containment is effective; frequent touches without flips indicate tight adaptation. Debug mode (when enabled) overlays text or plots for selected length and multiplier, helping verify auto-choices.
Practical Workflows & Combinations
- Trend following: Enter long on green "Buy" label above prior low structure; confirm with higher high. Trail stops along the green hull line, tightening as fills stabilize post-fade.
- Exits/Stops: Conservative exit on opposite crossover or hull breach; aggressive hold until fade completes if volume supports. Use darken boost as a volatility cue—high delta suggests waiting for confirmation.
- Multi-asset/Multi-TF: Defaults suit forex/stocks on 15m-4h; for crypto, widen containment to 75 for gaps. Layer on volume oscillator for cross filters; avoid on low-liquidity assets where ATR candidates skew.
Behavior, Constraints & Performance
Closed-bar logic ensures signals confirm at bar end, with live bars updating hull adaptively but no repaints since no future data or security calls are used. Arrays persist ATR states across bars, initialized once with candidates parsed from string. Small fixed loops (over 6 lengths max, inner up to 50) run per bar, capped by max_bars_back=500 for history needs. Resources stay low with 500 labels/lines limits, but dense charts may hit on markers. Known limits include initial lag until containment history builds (50+ bars), potential wide bands on gaps, and suboptimal selections if candidates omit ideal lengths.
Sensible Defaults & Quick Tuning
Start with "21/55" pair, 50-window, 0.5-1.0 multipliers, and 80% transparency for balanced responsiveness on daily charts. For too many flips, raise min floor to 0.75 or add lengths like "42"; for sluggishness, shorten window to 30 or pick faster pair. In high-vol environments, boost padding to 0.10; for smoother visuals, extend fade bars to 12.
What this indicator is—and isn’t
This is a visualization and signal layer for trend regime and adaptive boundaries, aiding entry/exit timing in directional markets. It is not a standalone system—pair with price structure, risk sizing, and broader context. Not predictive of turns, just reactive to containment and crosses.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Happy trading
Chervolino
USDJPY Fair Value Gap + Session Strategy🎯 Overview
This strategy combines Fair Value Gaps (FVGs) with session-based order flow analysis, specifically optimized for USDJPY. It identifies price inefficiencies left behind by institutional order flow during high-volatility trading sessions, offering a modern alternative to traditional lagging indicators.
🔬 What Are Fair Value Gaps?
Fair Value Gaps represent areas where aggressive institutional buying or selling created "gaps" in the market structure:
Bullish FVG: Price moves up so aggressively that it leaves unfilled buy orders behind
Bearish FVG: Price moves down so quickly that it leaves unfilled sell orders behind
Research shows approximately 80% of FVGs get "filled" (price returns to the gap) within 20-60 bars, making them highly predictable trading zones.
(see the generated image above)
(see the generated image above)
FVG Detection Logic:
text
// Bullish FVG: Gap between high and current low
bullishFVG = low > high and high > high
// Bearish FVG: Gap between low and current high
bearishFVG = high < low and low < low
🌏 Session-Based Trading
Why Sessions Matter for USDJPY
(see the generated image above)
Tokyo Session (00:00-09:00 UTC)
Highest volatility during first hour (00:00-01:00 UTC)
Average movement: 51-60 pips
Best for breakout strategies
London/NY Overlap (13:00-16:00 UTC)
Maximum liquidity and institutional participation
Tightest spreads and most reliable FVG formations
Optimal for continuation trades
Monday Premium Effect
USDJPY moves 120+ pips on Mondays due to weekend positioning
Enhanced FVG formation during session opens
📊 Strategy Components
(see the generated image above)
1. Fair Value Gap Detection
Identifies bullish and bearish FVGs automatically
Age limit: FVGs expire after 20 bars to avoid stale setups
Size filter: Minimum gap size to filter out noise
2. Session Filtering
Tokyo Open focus: Trades during first hour of Asian session
London/NY Overlap: Captures high-liquidity institutional flows
Weekend gap strategy: Enhanced signals on Monday opens
3. Volume Confirmation
Requires 1.5x average volume spike
Confirms institutional participation
Reduces false signals
4. Trend Alignment
50 EMA filter ensures trades align with higher timeframe trend
Long trades above EMA, short trades below
Prevents costly counter-trend trades
5. Risk Management
2:1 Risk/Reward minimum ensures profitability with 40%+ win rate
Percentage-based stops adapt to USDJPY volatility (0.3% default)
Configurable position sizing
🎯 Entry Conditions
(see the generated image above)
Long Entry (BUY)
✅ Bullish FVG detected in previous bars
✅ Price returns to FVG zone during active trading session
✅ Volume spike above 1.5x average
✅ Price above 50 EMA (trend confirmation)
✅ Bullish candle closes within FVG zone
✅ Trading during Tokyo open OR London/NY overlap
Short Entry (SELL)
✅ Bearish FVG detected in previous bars
✅ Price returns to FVG zone during active trading session
✅ Volume spike above 1.5x average
✅ Price below 50 EMA (trend confirmation)
✅ Bearish candle closes within FVG zone
✅ Trading during Tokyo open OR London/NY overlap
📈 Expected Performance
Backtesting Results (Based on Similar Strategies):
Win Rate: 44-59% (profitable due to high R:R ratio)
Average Winner: 60-90 pips during London/NY sessions
Average Loser: 30-40 pips (tight stops at FVG boundaries)
Risk/Reward: 2:1 minimum, often 3:1 during strong trends
Best Performance: Monday Tokyo opens and Wednesday London/NY overlaps
Why This Works for USDJPY:
90% correlation with US-Japan bond yield spreads
High volatility provides sufficient pip movement
Heavy institutional/central bank participation creates clear FVGs
Consistent volatility patterns across trading sessions
⚙️ Configurable Parameters
Session Settings:
Trade Tokyo Session (Enable/Disable)
Trade London/NY Overlap (Enable/Disable)
FVG Settings:
FVG Minimum Size (Filter small gaps)
Maximum FVG Age (20 bars default)
Show FVG Markers (Visual display)
Volume Settings:
Use Volume Filter (Enable/Disable)
Volume Multiplier (1.5x default)
Volume Average Period (20 bars)
Trend Settings:
Use Trend Filter (Enable/Disable)
Trend EMA Period (50 default)
Risk Management:
Risk/Reward Ratio (2.0 default)
Stop Loss Percentage (0.3% default)
🎨 Visual Indicators
🟡 Yellow Line: 50 EMA trend filter
🟢 Green Triangles: Long entry signals
🔴 Red Triangles: Short entry signals
🟢 Green Dots: Bullish FVG zones
🔴 Red Dots: Bearish FVG zones
🟦 Blue Background: Tokyo open session
🟧 Orange Background: London/NY overlap
📊 Recommended Settings
Optimal Timeframes:
Primary: 5-minute charts (scalping)
Secondary: 15-minute charts (swing trading)
Parameter Optimization:
Conservative: Stop Loss 0.2%, R:R 2:1, Volume 2.0x
Balanced: Stop Loss 0.3%, R:R 2:1, Volume 1.5x (default)
Aggressive: Stop Loss 0.4%, R:R 1.5:1, Volume 1.2x
Risk Management:
Maximum 1-2% of account per trade
Daily loss limit: Stop after 3-5 consecutive losses
Use fixed percentage position sizing
⚠️ Important Considerations
Avoid Trading During:
Major news events (BOJ interventions, NFP, FOMC)
Holiday periods with reduced liquidity
Low volatility Asian afternoon sessions
When US-Japan yield differential narrows sharply
Best Practices:
Limit to 2-3 trades per session maximum
Always respect the 50 EMA trend filter
Never risk more than planned per trade
Paper trade for 2-4 weeks before live implementation
Track performance by session and day of week
🚀 How to Use
Add the script to your USDJPY chart
Set timeframe to 5-minute or 15-minute
Adjust parameters based on your risk tolerance
Enable strategy alerts for automated notifications
Wait for visual signals (triangles) to appear
Enter trades according to your risk management rules
📚 Strategy Foundation
This strategy is based on:
Smart Money Concepts (SMC): Institutional order flow tracking
Market Microstructure: Understanding how FVGs form in electronic trading
Quantified Risk Management: Statistical edge through proper R:R ratios
Session Liquidity Patterns: Exploiting predictable volatility cycles
T3 ATR [DCAUT]█ T3 ATR
📊 ORIGINALITY & INNOVATION
The T3 ATR indicator represents an important enhancement to the traditional Average True Range (ATR) indicator by incorporating the T3 (Tilson Triple Exponential Moving Average) smoothing algorithm. While standard ATR uses fixed RMA (Running Moving Average) smoothing, T3 ATR introduces a configurable volume factor parameter that allows traders to adjust the smoothing characteristics from highly responsive to heavily smoothed output.
This innovation addresses a fundamental limitation of traditional ATR: the inability to adapt smoothing behavior without changing the calculation period. With T3 ATR, traders can maintain a consistent ATR period while adjusting the responsiveness through the volume factor, making the indicator adaptable to different trading styles, market conditions, and timeframes through a single unified implementation.
The T3 algorithm's triple exponential smoothing with volume factor control provides improved signal quality by reducing noise while maintaining better responsiveness compared to traditional smoothing methods. This makes T3 ATR particularly valuable for traders who need to adapt their volatility measurement approach to varying market conditions without switching between multiple indicator configurations.
📐 MATHEMATICAL FOUNDATION
The T3 ATR calculation process involves two distinct stages:
Stage 1: True Range Calculation
The True Range (TR) is calculated using the standard formula:
TR = max(high - low, |high - close |, |low - close |)
This captures the greatest of the current bar's range, the gap from the previous close to the current high, or the gap from the previous close to the current low, providing a comprehensive measure of price movement that accounts for gaps and limit moves.
Stage 2: T3 Smoothing Application
The True Range values are then smoothed using the T3 algorithm, which applies six exponential moving averages in succession:
First Layer: e1 = EMA(TR, period), e2 = EMA(e1, period)
Second Layer: e3 = EMA(e2, period), e4 = EMA(e3, period)
Third Layer: e5 = EMA(e4, period), e6 = EMA(e5, period)
Final Calculation: T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3
The coefficients (c1, c2, c3, c4) are derived from the volume factor (VF) parameter:
a = VF / 2
c1 = -a³
c2 = 3a² + 3a³
c3 = -6a² - 3a - 3a³
c4 = 1 + 3a + a³ + 3a²
The volume factor parameter (0.0 to 1.0) controls the weighting of these coefficients, directly affecting the balance between responsiveness and smoothness:
Lower VF values (approaching 0.0): Coefficients favor recent data, resulting in faster response to volatility changes with minimal lag but potentially more noise
Higher VF values (approaching 1.0): Coefficients distribute weight more evenly across the smoothing layers, producing smoother output with reduced noise but slightly increased lag
📊 COMPREHENSIVE SIGNAL ANALYSIS
Volatility Level Interpretation:
High Absolute Values: Indicate strong price movements and elevated market activity, suggesting larger position risks and wider stop-loss requirements, often associated with trending markets or significant news events
Low Absolute Values: Indicate subdued price movements and quiet market conditions, suggesting smaller position risks and tighter stop-loss opportunities, often associated with consolidation phases or low-volume periods
Rapid Increases: Sharp spikes in T3 ATR often signal the beginning of significant price moves or market regime changes, providing early warning of increased trading risk
Sustained High Levels: Extended periods of elevated T3 ATR indicate sustained trending conditions with persistent volatility, suitable for trend-following strategies
Sustained Low Levels: Extended periods of low T3 ATR indicate range-bound conditions with suppressed volatility, suitable for mean-reversion strategies
Volume Factor Impact on Signals:
Low VF Settings (0.0-0.3): Produce responsive signals that quickly capture volatility changes, suitable for short-term trading but may generate more frequent color changes during minor fluctuations
Medium VF Settings (0.4-0.7): Provide balanced signal quality with moderate responsiveness, filtering out minor noise while capturing significant volatility changes, suitable for swing trading
High VF Settings (0.8-1.0): Generate smooth, stable signals that filter out most noise and focus on major volatility trends, suitable for position trading and long-term analysis
🎯 STRATEGIC APPLICATIONS
Position Sizing Strategy:
Determine your risk per trade (e.g., 1% of account capital - adjust based on your risk tolerance and experience)
Decide your stop-loss distance multiplier (e.g., 2.0x T3 ATR - this varies by market and strategy, test different values)
Calculate stop-loss distance: Stop Distance = Multiplier × Current T3 ATR
Calculate position size: Position Size = (Account × Risk %) / Stop Distance
Example: $10,000 account, 1% risk, T3 ATR = 50 points, 2x multiplier → Position Size = ($10,000 × 0.01) / (2 × 50) = $100 / 100 points = 1 unit per point
Important: The ATR multiplier (1.5x - 3.0x) should be determined through backtesting for your specific instrument and strategy - using inappropriate multipliers may result in stops that are too tight (frequent stop-outs) or too wide (excessive losses)
Adjust the volume factor to match your trading style: lower VF for responsive stop distances in short-term trading, higher VF for stable stop distances in position trading
Dynamic Stop-Loss Placement:
Determine your risk tolerance multiplier (typically 1.5x to 3.0x T3 ATR)
For long positions: Set stop-loss at entry price minus (multiplier × current T3 ATR value)
For short positions: Set stop-loss at entry price plus (multiplier × current T3 ATR value)
Trail stop-losses by recalculating based on current T3 ATR as the trade progresses
Adjust the volume factor based on desired stop-loss stability: higher VF for less frequent adjustments, lower VF for more adaptive stops
Market Regime Identification:
Calculate a reference volatility level using a longer-period moving average of T3 ATR (e.g., 50-period SMA)
High Volatility Regime: Current T3 ATR significantly above reference (e.g., 120%+) - favor trend-following strategies, breakout trades, and wider targets
Normal Volatility Regime: Current T3 ATR near reference (e.g., 80-120%) - employ standard trading strategies appropriate for prevailing market structure
Low Volatility Regime: Current T3 ATR significantly below reference (e.g., <80%) - favor mean-reversion strategies, range trading, and prepare for potential volatility expansion
Monitor T3 ATR trend direction and compare current values to recent history to identify regime transitions early
Risk Management Implementation:
Establish your maximum portfolio heat (total risk across all positions, typically 2-6% of capital)
For each position: Calculate position size using the formula Position Size = (Account × Individual Risk %) / (ATR Multiplier × Current T3 ATR)
When T3 ATR increases: Position sizes automatically decrease (same risk %, larger stop distance = smaller position)
When T3 ATR decreases: Position sizes automatically increase (same risk %, smaller stop distance = larger position)
This approach maintains constant dollar risk per trade regardless of market volatility changes
Use consistent volume factor settings across all positions to ensure uniform risk measurement
📋 DETAILED PARAMETER CONFIGURATION
ATR Length Parameter:
Default Setting: 14 periods
This is the standard ATR calculation period established by Welles Wilder, providing balanced volatility measurement that captures both short-term fluctuations and medium-term trends across most markets and timeframes
Selection Principles:
Shorter periods increase sensitivity to recent volatility changes and respond faster to market shifts, but may produce less stable readings
Longer periods emphasize sustained volatility trends and filter out short-term noise, but respond more slowly to genuine regime changes
The optimal period depends on your holding time, trading frequency, and the typical volatility cycle of your instrument
Consider the timeframe you trade: Intraday traders typically use shorter periods, swing traders use intermediate periods, position traders use longer periods
Practical Approach:
Start with the default 14 periods and observe how well it captures volatility patterns relevant to your trading decisions
If ATR seems too reactive to minor price movements: Increase the period until volatility readings better reflect meaningful market changes
If ATR lags behind obvious volatility shifts that affect your trades: Decrease the period for faster response
Match the period roughly to your typical holding time - if you hold positions for N bars, consider ATR periods in a similar range
Test different periods using historical data for your specific instrument and strategy before committing to live trading
T3 Volume Factor Parameter:
Default Setting: 0.7
This setting provides a reasonable balance between responsiveness and smoothness for most market conditions and trading styles
Understanding the Volume Factor:
Lower values (closer to 0.0) reduce smoothing, allowing T3 ATR to respond more quickly to volatility changes but with less noise filtering
Higher values (closer to 1.0) increase smoothing, producing more stable readings that focus on sustained volatility trends but respond more slowly
The trade-off is between immediacy and stability - there is no universally optimal setting
Selection Principles:
Match to your decision speed: If you need to react quickly to volatility changes for entries/exits, use lower VF; if you're making longer-term risk assessments, use higher VF
Match to market character: Noisier, choppier markets may benefit from higher VF for clearer signals; cleaner trending markets may work well with lower VF for faster response
Match to your preference: Some traders prefer responsive indicators even with occasional false signals, others prefer stable indicators even with some delay
Practical Adjustment Guidelines:
Start with default 0.7 and observe how T3 ATR behavior aligns with your trading needs over multiple sessions
If readings seem too unstable or noisy for your decisions: Try increasing VF toward 0.9-1.0 for heavier smoothing
If the indicator lags too much behind volatility changes you care about: Try decreasing VF toward 0.3-0.5 for faster response
Make meaningful adjustments (0.2-0.3 changes) rather than small increments - subtle differences are often imperceptible in practice
Test adjustments in simulation or paper trading before applying to live positions
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Responsiveness Characteristics:
The T3 smoothing algorithm provides improved responsiveness compared to traditional RMA smoothing used in standard ATR. The triple exponential design with volume factor control allows the indicator to respond more quickly to genuine volatility changes while maintaining the ability to filter noise through appropriate VF settings. This results in earlier detection of volatility regime changes compared to standard ATR, particularly valuable for risk management and position sizing adjustments.
Signal Stability:
Unlike simple smoothing methods that may produce erratic signals during transitional periods, T3 ATR's multi-layer exponential smoothing provides more stable signal progression. The volume factor parameter allows traders to tune signal stability to their preference, with higher VF settings producing remarkably smooth volatility profiles that help avoid overreaction to temporary market fluctuations.
Comparison with Standard ATR:
Adaptability: T3 ATR allows adjustment of smoothing characteristics through the volume factor without changing the ATR period, whereas standard ATR requires changing the period length to alter responsiveness, potentially affecting the fundamental volatility measurement
Lag Reduction: At lower volume factor settings, T3 ATR responds more quickly to volatility changes than standard ATR with equivalent periods, providing earlier signals for risk management adjustments
Noise Filtering: At higher volume factor settings, T3 ATR provides superior noise filtering compared to standard ATR, producing cleaner signals for long-term analysis without sacrificing volatility measurement accuracy
Flexibility: A single T3 ATR configuration can serve multiple trading styles by adjusting only the volume factor, while standard ATR typically requires multiple instances with different periods for different trading applications
Suitable Use Cases:
T3 ATR is well-suited for the following scenarios:
Dynamic Risk Management: When position sizing and stop-loss placement need to adapt quickly to changing volatility conditions
Multi-Style Trading: When a single volatility indicator must serve different trading approaches (day trading, swing trading, position trading)
Volatile Markets: When standard ATR produces too many false volatility signals during choppy conditions
Systematic Trading: When algorithmic systems require a single, configurable volatility input that can be optimized for different instruments
Market Regime Analysis: When clear identification of volatility expansion and contraction phases is critical for strategy selection
Known Limitations:
Like all technical indicators, T3 ATR has limitations that users should understand:
Historical Nature: T3 ATR is calculated from historical price data and cannot predict future volatility with certainty
Smoothing Trade-offs: The volume factor setting involves a trade-off between responsiveness and smoothness - no single setting is optimal for all market conditions
Extreme Events: During unprecedented market events or gaps, T3 ATR may not immediately reflect the full scope of volatility until sufficient data is processed
Relative Measurement: T3 ATR values are most meaningful in relative context (compared to recent history) rather than as absolute thresholds
Market Context Required: T3 ATR measures volatility magnitude but does not indicate price direction or trend quality - it should be used in conjunction with directional analysis
Performance Expectations:
T3 ATR is designed to help traders measure and adapt to changing market volatility conditions. When properly configured and applied:
It can help reduce position risk during volatile periods through appropriate position sizing
It can help identify optimal times for more aggressive position sizing during stable periods
It can improve stop-loss placement by adapting to current market conditions
It can assist in strategy selection by identifying volatility regimes
However, volatility measurement alone does not guarantee profitable trading. T3 ATR should be integrated into a comprehensive trading approach that includes directional analysis, proper risk management, and sound trading psychology.
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. T3 ATR provides adaptive volatility measurement but has limitations and should not be used as the sole basis for trading decisions. The indicator measures historical volatility patterns, and past volatility characteristics do not guarantee future volatility behavior. Market conditions can change rapidly, and extreme events may produce volatility readings that fall outside historical norms.
Traders should combine T3 ATR with directional analysis tools, support/resistance analysis, and other technical indicators to form a complete trading strategy. Proper backtesting and forward testing with appropriate risk management is essential before applying T3 ATR-based strategies to live trading. The volume factor parameter should be optimized for specific instruments and trading styles through careful testing rather than assuming default settings are optimal for all applications.
