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.
In den Scripts nach "high low" suchen
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.
Flat Market and Low ADX Indicator [CHE]Why use the Flat Market and Low ADX Indicator ?
Flat markets, where prices remain within a narrow range for an extended period, can be both critical and dangerous for traders. In a flat market, the price action becomes less predictable, and traders may struggle to find profitable trading opportunities. As a result, many traders may decide to take a break from the market until a clear trend emerges.
However, flat markets can also be dangerous for traders who continue to trade despite the lack of clear trends. In the absence of a clear direction, traders may be tempted to take larger risks or make impulsive trades in an attempt to capture small profits. Such behavior can quickly lead to significant losses, especially if the market suddenly breaks out of its flat range, causing traders to experience large drawdowns.
Therefore, it is essential to approach flat markets with caution and to have a clear trading plan that incorporates strategies for both trending and flat markets. Traders may also use technical indicators, such as the Flat Market and Low ADX Indicator, to help identify flat markets and determine when it is appropriate to enter or exit a position.
The confluence between flat markets and low ADX readings can further increase the risk of trading during these periods. The ADX (Average Directional Index) is a technical indicator used to measure the strength of a trend. A low ADX reading indicates that the market is in a consolidation phase, which can coincide with a flat market. When a flat market occurs during a period of low ADX, traders should be even more cautious, as there is little to no directional bias in the market. In this situation, traders may want to consider waiting for a clear trend to emerge or using range-bound trading strategies to avoid taking excessive risks.
Introduction:
Pine Script is a programming language used for developing custom technical analysis indicators and trading strategies in TradingView. This particular script is an indicator designed to identify flat markets and low ADX conditions. In this description, we will delve deeper into the functionality of this script and how it can be used to improve trading decisions.
Description:
The first input in the script is the length of the moving average used for calculating the center line. This moving average is used to define the high and low range of the market. The script then calculates the middle value of the range by taking the double exponential moving average (EMA) of the high, low, and close prices.
The script then determines whether the market is flat by comparing the middle value of the range with the high and low values. If the middle value is greater than the high value or less than the low value, the market is not flat. If the middle value is within the high and low range, the script considers the market to be flat. The script also uses RSI filter settings to further confirm if the market is flat or not. If the RSI value is between the RSI min and max values, then the market is considered flat. If the RSI value is outside this range, the market is not considered flat.
The script also calculates the ADX (Average Directional Index) to determine whether it's in a low area. ADX is a technical indicator used to measure the strength of a trend. The script uses the ADX filter settings to define the ADX threshold value. If the ADX value is below the threshold value, the script considers the market to be in a low ADX area.
The script provides various input options to customize the display settings, including the option to show the flat market and low ADX areas. Users can choose their preferred colors for the flat market and low ADX areas and adjust the transparency levels to suit their needs.
Conclusion:
In conclusion, this Pine Script indicator is designed to identify flat market and low ADX conditions, which can help traders make informed trading decisions. The script uses a range of inputs and calculations to determine the market direction, RSI filter, and ADX filter. By customizing the display settings, users can adjust the indicator to suit their preferences and improve their trading strategies. Overall, this script can be a valuable tool for traders looking to gain an edge in the markets.
Acknowledgments:
Thanks to the Pine Script™ v5 User Manual www.tradingview.com
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.
AG FX - Pivot PointsPivot Points High Low
Definition
The Pivot Points High Low indicator is used to determine and anticipate potential changes in market price and reversals. The Highs referred to in the title are created based on the number of bars that exhibit lower highs on either side of a Pivot Point High, whereas the Lows are created based on the number of bars that exhibit higher lows on either side of a Pivot Point Low.
Calculations
As mentioned above, Pivot Point Highs are calculated by the number of bars with lower highs on either side of a Pivot Point High calculation. Similarly, Pivot Point Lows are calculated by the number of bars with higher lows on either side of a Pivot Point Low calculation.
Takeaways and what to look for
A Pivot Point is more significant or noteworthy if the trend is extended or longer than average. This can mean if a trader selects a higher period for before and after the Pivot Point, the trend could be longer and therefore prove the Pivot Point itself more notable.
Additionally, Pivot Points can help a trader assess where would be best to draw. By analyzing price changes and reversals, a trader has more of an ability to determine and predict price patterns and general price trends.
Summary
The Pivot Points High Low indicator can predict and determine price changes and potential reversals in the market. Pivot Points can also help traders identify price patterns and trends, depending on the period and significance of the Pivot Point value.
Fibonacci-Trading-Indikator_3Daily (weekly, monthly) profits with the Fibonacci trading indicator_3
Quotes move in Fibonacci ratios in liquid markets. With this indicator you receive information for daily trades or for position trades based on a week or on a monthly basis, in which area you should ideally enter the market and where the minimum achievable price target is. This price target is 61.8% of yesterday's trading range, or the trading range of the previous week, or the trading range of the previous month, depending on the time frame for which the indicator should calculate the minimum achievable high / low. This is also where you realize your profit.
For this calculation, the following entries must be made in the properties window of the indicator:
• Preselection uptrend / downtrend.
• Time frame (day, week, ...) of the price bar for the possible high / low to be determined.
• Trading range of the previous day, or the previous week, or the previous month.
• Current lowest low of the selected time frame when trading has started and prices are rising.
• Current highest high of the selected time frame when trading has started and prices are falling.
Important areas for trading are:
• The entry range 0% - 23.6% for long or short.
• The target price level 61.8%.
Choose a suitable time frame to detect the direction of movement while the quotes are still moving in the entry area. The camelback indicator can be of great help. Also test the resolution setting of the camelback indicator. With a resolution of 1 hour in the 6 or 12 minute chart, you get a perspective for the broader direction. Movement patterns of corrections or consolidations, if they last more than a day or a week, also give clues to the coming direction of movement for the trade. So look back to see what happened yesterday, a week ago, or a month ago. Pay attention to the market anatomy, find out how the market works, count the price bars in consolidations and trends.
After entering the values the indicator will show the Fibonacci expansion price levels for the possible high or low for the selected time frame. Buy / sell within the entry range between 0% and 23.6% as the market moves towards the last long / or short entry point. This is the course range up to the 23.6% course level. The 61.8% price level is the minimum expected price target. We assume that the current bar will reach at least 61.8% of the trading range of the previous day, week or month. Depending on the set time frame. You should therefore realize the profits you have made with 50% of the position when the prices have reached the 61.8% level. With a suitable trailing stop you can be stopped with the rest of the position, but do not risk more than 50% of the profits.
With the quarter or year preselection and the corresponding entries, the minimum expected quarterly high / quarterly low or annual high / annual low can be determined.
The Fibonacci price levels can be shown and hidden. In the chart click on the gear wheel for “Chart Settings”. In the “Scaling” menu, the price levels can be displayed with the preselection “Label for indicator names” and “Label for last indicator value”. Slide the chart to the right to find possible support and resistance at the price levels that could provide confirmation of the target.
In the event of input errors or missing entries for a time frame, the indicator is hidden.
Pay attention to your trade management to avoid losses.
The new Fibonacci Trading Indicator_3 has the following additions and changes:
Area code for the quarter time frame has been added.
The entry area received a 23.6% and a 50% subdivision. Two envelope lines above the 23.6% entry level in the case of an upward trend and below the 23.6% entry level in the case of a downtrend, with a width of 23.6% and 14.6% of the entry level, are intended to indicate that the closing price is higher the quotations have broken out of the entry-level area.
A volatility stop for upward and downward trends can be activated.
A factor is added to the fluctuation range of each price bar for the stop. Then a moving average is calculated with an adjustable period. The period setting should be set between 5 and 10. The result can be smoothed adjustable.
Presetting:
Periods = 10
Factor = 1.4
Smoothing = 7
With the assumption that the market entry in an upward trend occurs when the prices break out above a bar high, the result of the stop calculation is subtracted from the bar high. In the case of a downward trend, the result of the stop calculation is added to the price bar low.
When entering the market, set the factor to 2.4. If inside bars follow a trend movement, the stop should be brought closer. Try the factor setting 0.4 or less. The smallest adjustable factor is 0.1.
For the entry into an established trend, as described in an idea contribution by me, there are two switchable moving averages. The application for the (MA_H) takes place on high and for the (MA_L) adjustable on high, low, shot, h + 1/2 etc. Period and offset (shift) are adjustable. With this idea, the entry into the market occurs between a 618% correction (the Fibonacci entry point) and the DEP (average entry point). The DEP in this case is the MA_H with period = 4 and an offset = 1 in the case of a downward trend, or the MA_L with the same setting and application to lows in an upward trend.
Also test the MA_L in trends with the settings (period, offset) 3.3 or 5, 3 or 7.5 and applying it to closing prices for a close encompassing of the highs / lows.
Tägliche (wöchentliche, monatliche) Gewinne mit dem Fibonacci-Trading Indikator_3
Kursnotierungen bewegen sich in liquiden Märkten in Fibonacci-Verhältnisse. Mit diesem Indikator erhalten Sie für Tagesgeschäfte, oder für Positionstrades auf Basis einer Woche, oder auf Basis eines Monats Informationen, in welchem Bereich Sie idealerweise in den Markt einsteigen sollten und wo das mindeste erreichbare Kursziel liegt. Dieses Kursziel liegt bei 61,8% der gestrigen Handelspanne, oder der Handelspanne der Vorwoche, oder der Handelspanne des Vormonats, also abhängig davon für welchen Zeitrahmen der Indikator das mindeste erreichbare Hoch/Tief berechnen soll. Dort realisieren Sie auch Ihren Gewinn.
Für diese Berechnung sind folgende Eingaben im Eigenschaftenfenster des Indikators einzustellen:
• Vorwahl Aufwärtstrend/ Abwärtstrend.
• Zeitrahmen (Tag, Woche, …) des Kursbalkens für das zu ermittelnde mögliche Hoch/ Tief.
• Handelspanne des vorherigen Tages, oder der vorherigen Woche, oder des vorherigen Monats.
• Aktuell tiefstes Tief des vorgewählten Zeitrahmens, wenn der Handel begonnen hat und die Notierungen steigen.
• Aktuell höchstes Hoch des vorgewählten Zeitrahmens, wenn der Handel begonnen hat und die Notierungen fallen.
Wichtige Bereiche für das Trading sind:
• Der Einstiegsbereich 0% - 23,6% für long oder short.
• Der Kursziellevel 61,8%.
Wählen Sie für die Erkennung der Bewegungsrichtung einen geeigneten Zeitrahmen, während sich die Notierungen noch im Einstiegsbereich bewegen. Der Camelback-Indikator kann eine gute Hilfe sein. Testen Sie auch die Auflösung-Einstellung des Camelback-Indikators. Mit der Auflösung 1 Stunde Im 6- oder 12 Minuten-Chart erhalten Sie einen Blickwinkel für die große Richtung. Auch Bewegungsmuster von Korrekturen oder Konsolidierungen, wenn sie mehr als einen Tag oder eine Woche andauern geben Hinweise auf die kommende Bewegungsrichtung für den Trade. Schauen Sie also zurück um zu prüfen, was sich gestern, vor einer Woche oder vor einem Monat abgespielt hat. Achten sie auf die Marktanatomie, finden Sie heraus wie der Markt funktioniert, zählen Sie Kursstäbe in Konsolidierungen und Trends.
Nach Eingabe der Werte zeigt der Indikator die Fibonacci-Ausweitungskurslevels für das mögliche Hoch oder Tief für den ausgewählten Zeitrahmen. Kaufen/ verkaufen Sie innerhalb des Einstiegsbereichs zwischen 0% und 23,6%, während sich der Markt in Richtung des letzten long-/ oder short-Einstiegspunktes bewegt. Das ist der Kursbereich bis zum 23,6%- Kurslevel. Der 61,8%-Kurslevel ist das mindeste erwartbare Kursziel. Wir gehen davon aus, dass der aktuelle Kursbalken mindestens 61,8% der Handelsspanne des vorherigen Tages, der vorherigen Woche oder des vorherigen Monats erreichen wird. Abhängig vom eingestellten Zeitrahmen. Realisieren Sie deshalb die angelaufenen Gewinne mit 50% der Position, wenn die Notierungen den 61,8% - Level erreicht haben. Mit einem geeigneten Trailing-Stopp lassen Sie sich mit der restlichen Position ausstoppen, riskieren Sie dafür aber nicht mehr als 50 % der angelaufenen Gewinne.
Mit der Vorwahl Quartal oder Jahr und den entsprechenden Eingaben kann auch das mindeste erwartbare Quartalshoch/ Quartalstief bzw. Jahreshoch/ Jahrestief ermittelt werden.
Die Fibonacci-Kurslevels lassen sich ein- und ausblenden. Klicken Sie im Chart auf das Zahnrad für „Chart Einstellungen“. Im Menü „Skalierungen“ kann mit der Vorwahl „Label für Indikatornahmen“ und „Label für letzten Indikatorwert“ die Kurslevels angezeigt werden. Schieben Sie den Chart nach rechts um mögliche Unterstützungen und Widerstände an den Kurslevels zu finden, die Bestätigung für das Ziel geben könnten.
Bei Eingabefehlern oder fehlenden Eingaben zu einem Zeitrahmen wird der Indikator ausgeblendet.
Achten Sie zur Vermeidung von Verlusten auf ihr Handelsmanagement.
Der neue Fibonacci-Trading-Indikator_3 besitz folgende Zusätze und Änderungen:
Vorwahl für den Zeitrahmen Quartal wurde hinzugefügt.
Der Einstiegsbereich erhielt eine 23,6% und eine 50% Unterteilung. Zwei Umschlagslinien über dem 23,6%-Einstiegslevel bei einem Aufwärtstrend, bzw. unter dem 23,6%-Einstiegslevel bei einem Abwärtstrend, mit der Breite 23,6% und 14,6% vom Einstiegsbereich, sollen bei höherem Schlusskurs signalisieren, dass die Notierungen aus dem Einstiegsbereich ausgebrochen sind.
Ein Volatilitätsstopp jeweils für Aufwärts- und Abwärtstrend kann zugeschaltet werden.
Für den Stopp wird die Schwankungsbreite jedes Kursbalkens wird mit einem Faktor beaufschlagt. Danach erfolgt die Berechnung eines gleitenden Durchschnitts mit einstellbarer Periode. Die Periodeneinstellung sollte zwischen 5 und 10 eingestellt werden. Das Ergebnis kann einstellbar geglättet werden.
Voreinstellung:
Perioden = 10
Faktor = 1,4
Glättung = 7
Mit der Annahme, dass der Markteinstieg in einem Aufwärtstrend bei Ausbruch der Notierungen über ein Kursbalkenhoch erfolgt, wird das Ergebnis der Stoppberechnung vom Kursbalkenhoch subtrahiert. Bei einem Abwärtstrend wird das Ergebnis der Stoppberechnung zum Kursbalkentief addiert.
Stellen Sie bei Markteintritt den Faktor auf 2,4. Folgen nach einer Trendbewegung Innenstäbe sollte der Stopp näher herangeführt werden. Probieren Sie die Faktoreinstellung 0,4 oder kleiner. Der kleinste einstellbare Faktor ist 0,1.
Für den Einstieg in einen etablierten Trend, wie in einem Ideenbeitrag von mir beschrieben, gibt es zwei zuschaltbare gleitende Durchschnitte. Die Anwendung für den (MA_H) erfolgt auf Hochs und für den (MA_L) einstellbar auf Hoch, Tief, Schuss, h+l/2 usw.. Periode und Offset (Verschiebung) sind einstellbar. Bei dieser Idee erfolgt der Einstieg in den Markt zwischen einer 618%-Korrektur (dem Fibonacci-Einstiegspunkt) und dem DEP (Durchschnittlicher Einstiegspunkt). Der DEP ist in diesem Fall der MA_H mit Periode = 4 und einem Offset = 1, bei einem Abwärtstrend, oder der MA_L mit identischer Einstellung und Anwendung auf Tiefs in einem Aufwärtstrend.
Testen Sie den MA_L auch in Trends mit den Einstellungen (Periode, Offset) 3,3 oder 5, 3 oder 7,5 und Anwendung auf Schlusskurse für eine enge Umfassung der Hochs/ Tiefs.
Non Parametric Adaptive Moving AverageIntroduction
Not be confused with non-parametric statistics, i define a "non-parametric" indicator as an indicator who does not have any parameter input. Such indicators can be useful since they don't need to go through parameter optimization. I present here a non parametric adaptive moving average based on exponential averaging using a modified ratio of open-close to high-low range indicator as smoothing variable.
The Indicator
The ratio of open-close to high-low range is a measurement involving calculating the ratio between the absolute close/open price difference and the range (high - low) , now the relationship between high/low and open/close price has been studied in econometrics for some time but there are no reason that the ohlc range ratio may be an indicator of volatility, however we can make the hypothesis that trending markets contain less indecision than ranging market and that indecision is measured by the high/low movements, this is an idea that i've heard various time.
Since the range is always greater than the absolute close/open difference we have a scaled smoothing variable in a range of 0/1, this allow to perform exponential averaging. The ratio of open-close to high-low range is calculated using the vwap of the close/high/low/open price in order to increase the smoothing effect. The vwap tend to smooth more with low time frames than higher ones, since the indicator use vwap for the calculation of its smoothing variable, smoothing may differ depending on the time frame you are in.
1 minute tf
1 hour tf
Conclusion
Making non parametric indicators is quite efficient, but they wont necessarily outperform classical parametric indicators. I also presented a modified version of the ratio of open-close to high-low range who can provide a smoothing variable for exponential averaging. I hope the indicator can help you in any way.
Thanks for reading !
OR + PM + PD + Daily Pivot (Labels Fixed)//@version=5
indicator("OR + PM + PD + Daily Pivot (Labels Fixed)", overlay=true)
// -------------------- Time --------------------
h = hour(time)
m = minute(time)
newDay = ta.change(time("D"))
// -------------------- Premarket & Opening Range --------------------
isPremarket = (h >= 4 and h < 9) or (h == 9 and m < 30)
isOpenRange = h == 9 and m >= 30 and m <= 35
// -------------------- Previous Day High / Low --------------------
pdh = request.security(syminfo.tickerid, "D", high )
pdl = request.security(syminfo.tickerid, "D", low )
plot(pdh, color=color.red, title="PDH")
plot(pdl, color=color.green, title="PDL")
if newDay
label.new(bar_index, pdh, "PDH", style=label.style_label_left, color=color.red, textcolor=color.white)
label.new(bar_index, pdl, "PDL", style=label.style_label_left, color=color.green, textcolor=color.white)
// -------------------- Pre-Market High / Low --------------------
var float pmh = na
var float pml = na
var bool pmLabelsPlotted = false
if newDay
pmh := na
pml := na
pmLabelsPlotted := false
if isPremarket
pmh := na(pmh) ? high : math.max(pmh, high)
pml := na(pml) ? low : math.min(pml, low)
plot(pmh, color=color.orange, title="PMH")
plot(pml, color=color.orange, title="PML")
if not isPremarket and not na(pmh) and not pmLabelsPlotted
label.new(bar_index, pmh, "PMH", style=label.style_label_left, color=color.orange, textcolor=color.black)
label.new(bar_index, pml, "PML", style=label.style_label_left, color=color.orange, textcolor=color.black)
pmLabelsPlotted := true
// -------------------- 5-Min High / Low --------------------
fiveHigh = request.security(syminfo.tickerid, "5", high)
fiveLow = request.security(syminfo.tickerid, "5", low)
var float fiveH = na
var float fiveL = na
var bool fiveLabelsPlotted = false
if newDay
fiveH := na
fiveL := na
fiveLabelsPlotted := false
if isOpenRange
fiveH := na(fiveH) ? fiveHigh : math.max(fiveH, fiveHigh)
fiveL := na(fiveL) ? fiveLow : math.min(fiveL, fiveLow)
plot(fiveH, color=color.blue, title="5m High")
plot(fiveL, color=color.blue, title="5m Low")
if not isOpenRange and not na(fiveH) and not fiveLabelsPlotted
label.new(bar_index, fiveH, "5m H", style=label.style_label_left, color=color.blue, textcolor=color.white)
label.new(bar_index, fiveL, "5m L", style=label.style_label_left, color=color.blue, textcolor=color.white)
fiveLabelsPlotted := true
// -------------------- 15-M
Advanced Multi-Level S/R ZonesAdvanced Multi-Level S/R Zones: The Comprehensive Guide
1. Introduction: The Evolution of Support & Resistance:
Support and Resistance (S/R) is the backbone of technical analysis. However, traditional methods of drawing these levels are often plagued by subjectivity. Two traders looking at the same chart will often draw two different lines. Furthermore, standard indicators often treat every price point equally, ignoring the critical context of Volume and Time.
The Advanced Multi-Level S/R Zones script represents a paradigm shift. It moves away from subjective line drawing and toward Quantitative Zoning. By utilizing statistical measures of variability (Standard Deviation, MAD, IQR) combined with Volume-Weighting and Time-Decay algorithms, this tool identifies where price is mathematically most likely to react. It treats S/R not as thin lines, but as dynamic zones of probability.
2. Core Logic and Mathematical Foundation:
To understand how to use this tool optimally, one must understand the "engine" under the hood. The script operates on four distinct pillars of logic:
A. Session-Based Data Collection:
The script does not look at every single tick. Instead, it aggregates data into "Sessions" (daily bars by default logic). It extracts the High, Low, and Total Volume for every session within the user-defined lookback period. This filters out intraday noise and focuses on the macro structure of the market.
B. Adaptive Statistical Variability:
Most Bollinger Band-style indicators use Standard Deviation (StdDev) to measure width. However, StdDev is heavily influenced by outliers (extreme wicks). This script offers a sophisticated Adaptive Method-Skewness Detection: The script calculates the skewness of the price distribution. Adaptive Selection: If the data is highly skewed (lots of outliers, typical in Crypto), it switches to MAD (Median Absolute Deviation). MAD is robust and ignores outliers. If the data is moderately skewed, it uses IQR (Interquartile Range). If the data is normal (Gaussian), it uses StdDev.
Benefit: This ensures the zone widths are accurate regardless of whether you are trading a stable Forex pair or a volatile Altcoin.
C. The Weighting Engine (Volume + Time)
Not all price history is equal. This script assigns a "Weight Score" to every session based on two factors:
Volume Weighting: Sessions with massive volume (institutional activity) are given higher importance. A high formed on low volume is less significant than a high formed on peak volume.
Time Decay: Recent price action is more relevant than price action from 50 bars ago. The script applies a decay factor (default 0.85). This means a session from yesterday has 100% impact, while a session from 10 days ago has significantly less influence on the zone calculation.
D. Clustering Algorithm
Once the data is weighted, the script runs a clustering algorithm. It looks for price levels where multiple session Highs (for Resistance) or Lows (for Support) congregate.
It requires a minimum number of points to form a zone (User Input: minPoints).
It merges nearby levels based on the Cluster Separation Factor.
This results in "Primary," "Secondary," and "Tertiary" zones based on the strength and quantity of data points in that cluster.
3. Detailed Features and Inputs Breakdown:
Group 1: Main Settings
Lookback Sessions (Default: 10): Defines how far back the script looks for pivots. A higher number (e.g., 50) creates long-term structural zones. A lower number (e.g., 5) creates short-term scalping zones.
Variability Method (Adaptive): As described above, leave this on "Adaptive" for the best results across different assets.
Zone Width Multiplier (Default: 0.75): Controls the vertical thickness of the zones. Increase this to 1.0 or 1.5 for highly volatile assets to ensure you catch the wicks.
Minimum Points per Zone: The strictness filter. If set to 3, a price level must be hit 3 times within the lookback to generate a zone. Higher numbers = fewer, but stronger zones.
Group 2: Weighting
Volume-Weighted Zones: Crucial for identifying "Smart Money" levels. Keep this TRUE.
Time Decay: Ensures the zones update dynamically. If price moves away from a level for a long time, the zone will fade in significance.
ATR-Normalized Zone Width: This is a dynamic volatility filter. If TRUE, the zone width expands and contracts based on the Average True Range. This is vital for maintaining accuracy during market breakouts or crashes.
Group 3: Zone Strength & Scoring
The script calculates a "Score" (0-100%) for every zone based on:
-Point Count: More hits = higher score.
-Touches: How many times price wicked into the zone recently.
-Intact Status: Has the zone been broken?
-Weight: Volume/Time weight of the constituent points.
-Track Zone Touches: Looks back n bars to see how often price respected this level.
-Touch Threshold: The sensitivity for counting a "touch."
Group 4: Visuals & Display
Extend Bars: How far to the right the boxes are drawn.
Show Labels: Displays the Score, Tier (Primary/Secondary), and Status (Retesting).
Detect Pivot Zones (Overlap): This is a killer feature. It detects where a Support Zone overlaps with a Resistance Zone.
Significance: These are "Flip Zones" (Old Resistance becomes New Support). They are colored differently (Orange by default) and represent high-probability entry areas.
Group 5: Signals & Alerts
Entry Signals: Plots Buy/Sell labels when price rejects a zone.
Detect Break & Retest: specifically looks for the "Break -> Pullback -> Bounce" pattern, labeled as "RETEST BUY/SELL".
Proximity Alert: Triggers when price gets within x% of a zone.
4. Understanding the Visuals (Interpreting the Chart)
When you load the script, you will see several visual elements. Here is how to read them:
The Boxes (Zones)
Red Shades: Resistance Zones.
Dark Red (Solid Border): Primary Resistance. The strongest wall.
Lighter Red (Dashed Border): Secondary/Tertiary. Weaker, but still relevant.
Green Shades: Support Zones.
Dark Green (Solid Border): Primary Support. The strongest floor.
Orange Boxes: Pivot Zones. These are areas where price has historically reacted as both support and resistance. These are the "Line in the Sand" for trend direction.
The Labels & Emojis
The script assigns emojis to zone strength:
🔥 (Fire): Score > 80%. A massive level. Expect a strong reaction.
⭐ (Star): Score > 60%. A solid structural level.
✓ (Check): Score > 40%. A standard level.
"⟳ RETESTING": Appears when a zone was broken, and price is currently pulling back to test it from the other side.
The Dashboard (Top Right)
A statistics table provides a "Head-Up Display" for the asset:
High/Low σ (Sigma): The variability of the highs and lows. If High σ is much larger than Low σ, it implies the tops are erratic (wicks) while bottoms are clean (flat).
Method: Shows which statistical method the Adaptive engine selected (e.g., "MAD (auto)").
ATR: Current volatility value used for normalization.
5. Strategies for Optimum Output
To get the most out of this script, you should not just blindly follow the lines. Use these specific strategies:
Strategy A: The "Zone Fade" (Range Trading)
This works best in sideways markets.
Identify a Primary Support (Green) and Primary Resistance (Red).
Wait for price to enter the zone.
Look for the "SUPPORT BOUNCE" or "RESISTANCE REJECTION" signal label.
Entry: Enter against the zone (Buy at support, Sell at resistance).
Stop Loss: Place just outside the zone width. Because the zones are calculated using volatility stats, a break of the zone usually means the trade is invalid.
Strategy B: The "Pivot Flip" (Trend Following)
This is the highest probability setup in trending markets.
Look for an Orange Pivot Zone.
Wait for price to break through a Resistance Zone cleanly.
Wait for the price to return to that zone (which may now turn Orange or act as Support).
Look for the "RETEST BUY" label.
Logic: Old resistance becoming new support is a classic sign of trend continuation. The script automates the detection of this exact geometric phenomenon.
Strategy C: The Volatility Squeeze
Look at the Dashboard. Compare High σ and Low σ.
If the values are dropping rapidly or becoming very small, the zones will contract (become narrow).
Narrow zones indicate a "Squeeze" or compression in price.
Prepare for a violent breakout. Do not fade (trade against) narrow zones; look to trade the breakout.
6. Optimization & Customization Guide
Different markets require different settings. Here is how to tune the script:
For Crypto & Volatile Stocks (Tesla, Nvidia)
Method: Set to Adaptive (Mandatory, as these assets have "Fat Tails").
Multiplier: Increase to 1.0 - 1.25. Crypto wicks are deep; you need wider zones to avoid getting stopped out prematurely.
Lookback: 20-30 sessions. Crypto has a long memory; short lookbacks generate too much noise.
For Forex (EURUSD, GBPJPY)
Method: You can force StdDev or IQR. Forex is more mean-reverting and Gaussian.
Multiplier: Decrease to 0.5 - 0.75. Forex levels are often very precise to the pip.
Volume Weighting: You may turn this OFF for Forex if your broker's volume data is unreliable (since Forex has no centralized volume), though tick volume often works fine.
For Scalping (1m - 15m Timeframes)
Lookback: Decrease to 5-10. You only care about the immediate session history.
Decay Factor: Decrease to 0.5. You want the script to forget about yesterday's price action very quickly.
Touch Lookback: Decrease to 20 bars.
For Swing Trading (4H - Daily Timeframes)
Lookback: Increase to 50.
Decay Factor: Increase to 0.95. Structural levels from weeks ago are still highly relevant.
Min Points: Increase to 3 or 4. Only show levels that have been tested multiple times.
7. Advantages Over Standard Tools:
Feature Standard S/R Indicator, Advanced Multi-Level S/R Calculation, Uses simple Pivots or Fractals, Uses Statistical Distributions (MAD/IQR). Zone Width Arbitrary or Fixed Adaptive based on Volatility & ATR.
Context Ignores Volume Volume Weighted (Smart Money tracking).
Time Relevance Old levels = New levels Time Decay (Recency bias applied).
Overlaps Usually ignores overlaps Detects Pivot Zones (Res/Sup Flip).
Scoring None 0-100% Strength Score per zone.
8. Conclusion:
The Advanced Multi-Level S/R Zones script is not just a drawing tool; it is a statistical analysis engine. By accounting for the skewness of data, the volume behind the moves, and the decay of time, it provides a strictly objective roadmap of the market structure.
For the optimum output, combine the Pivot Zone identification with the Retest Signals. This aligns you with the underlying flow of order blocks and prevents trading against the statistical probabilities of the market.
Session Opening Bar RangeSession Opening Bar Range (OBR) - Advanced Opening Range Indicator with Statistical Analysis
Overview
The Session First Bar Range (FBR) indicator is a comprehensive tool that captures and projects key levels based on the first bar of a user-defined trading session. Unlike traditional daily opening range indicators, this script allows traders to focus on specific session windows (New York RTH, London, Asia, etc.) and analyze price behavior relative to the initial momentum established in that session's opening bar.
What makes this indicator unique is its combination of three distinct projection methodologies: statistical analysis based on historical range data, Fibonacci extensions, and fixed-point rotation levels commonly used by institutional traders. To our knowledge, this is the only opening range indicator that incorporates statistical standard deviation levels calculated from historical first bar ranges, making it both a technical and probabilistic tool.
Core Concept
The opening range concept is based on the principle that the initial price action of a trading session often sets the tone for the remainder of that session.
Professional traders have long observed that:
The first bar's high and low act as key reference points
Price often respects or breaks these levels with significance
Expansion beyond the opening range tends to occur in measurable increments
This indicator takes these observations and enhances them with:
Historical probability analysis - "Based on the last 60 sessions, price typically extends X standard deviations beyond the opening range"
Proportional projections - Fibonacci-based extensions showing where measured moves typically target
Fixed-point rotations - Institutional rotation levels (e.g., 65 points for NQ, 15 points for ES)
How It Works
Session Detection & First Bar Capture
The indicator uses Pine Script's time() function with timezone support to precisely detect when a trading session begins. When the first bar of the selected timeframe occurs within the session window, the script captures:
High (H): The high of the first bar
Low (L): The low of the first bar
Mid (M): The midpoint (hl2) of the first bar
Critical Detail: These levels are fixed from the first bar only - they do not update as the session progresses. This differs from many "opening range" indicators that use a time period (e.g., first 30 minutes). Here, you select the bar timeframe (default 5-minute), and only that single first bar's range is captured.
Statistical Level Calculation
The indicator maintains a rolling array of the last N session's first bar ranges (default: 60 sessions). For each new session, it calculates:
Average Range: Mean of historical first bar ranges
Standard Deviation: Volatility of those ranges
Projection Levels: High/Low ± (Average Range + Std Dev × Multiplier)
This provides probability-based levels. For example, a +2σ level suggests: "Historically, price extending this far beyond the opening range is a 2-standard-deviation event (approximately 95th percentile)."
Fibonacci Extensions
Using the first bar range as the base unit (100%), the indicator projects Fibonacci levels:
100% extension: One full range above the high / below the low
1.618x extension: (Default) Golden ratio projection
2.618x, 3.618x extensions: Additional Fibonacci levels
Calculation: Range = H - L, then Target = H + (Range × Multiplier) for upside projections.
OR Rotation Levels
These are fixed-point increments from the first bar's high and low. Unlike percentage-based methods, rotations use absolute point values:
NQ traders often use 65-point increments
ES traders often use 15-point increments
Gold/bonds use different values
The indicator draws 5 levels above the high (R+1 through R+5) and 5 below the low (R-1 through R-5), each separated by your specified point increment.
Features:
Session Options
Pre-configured Sessions:
New York RTH (9:30am - 4:00pm)
New York Futures (8:00am - 5:00pm)
London (2:00am - 8:00am)
Asia (7:00pm - 2:00am)
Midnight to 5pm
ZB/Gold/Silver OR (8:20am - 4:00pm)
CL OR (9:00am - 4:00pm)
Custom Session: Define your own start/end times in HHMM format
Timezone Support: All sessions respect the selected timezone (default: America/New_York)
Customizable Timeframe
Select any timeframe for the first bar (1min, 5min, 15min, etc.)
Default: 5-minute bars
Important: This is the timeframe for the first bar capture, independent of your chart's timeframe
Display Options
Historical Ranges: Show/hide past session ranges (with configurable limit to manage performance)
Line Styles: Choose between Solid, Dashed, or Dotted for range lines and midline
Label Position: Left or Right side of range
Show Prices: Optionally display actual price values on labels
Custom Colors: Fully customizable colors for all components
Statistical Levels
Lookback Period: Number of historical sessions to analyze (default: 60)
Two Multiplier Levels: Default 1σ and 2σ, fully adjustable
Separate styling: Different line styles (dashed vs dotted) for each sigma level
Optional Labels: Show/hide sigma notation labels
Fibonacci Extensions
Four Extension Levels: 100%, 1.618x, 2.618x, 3.618x (all customizable)
Bidirectional: Projections both above and below the opening range
Optional Labels: Toggle percentage/multiplier labels
OR Rotation Levels
Configurable Increment: Set the point value for your instrument
Five Levels Each Direction: R±1 through R±5
Dynamic Labels: Show both rotation number and point value (e.g., "R+1 (65)")
Three Line Styles: Solid, Dashed, or Dotted
How to Use
Setup
Add the indicator to your chart
Select your trading session from the dropdown
Set the timeframe for first bar capture (typically 5-15 minutes)
Configure which projection methods you want to see (Statistical, Fibonacci, and/or Rotations)
For Day Traders
Scenario: Trading NQ during New York RTH
Session: Select "New York RTH (9:30am - 4:00pm)"
Timeframe: 5-minute (captures 9:30-9:35 bar)
Enable: OR Rotations with 65-point increments
Strategy:
Watch for acceptance/rejection at rotation levels
Use R+1/R-1 as initial profit targets
R+2/R-2 as extended targets
Statistical levels show when price is in "outlier" territory
and rotation levels
Performance Notes
The indicator limits objects to stay within TradingView's constraints (500 max)
If you enable all features, reduce "Maximum Historical Ranges" to prevent slowdown
Typical configuration: 10-20 historical ranges with all features enabled works well
Settings Guide
Session Settings
Session: Choose from pre-configured sessions or "Custom"
Custom Session Start/End: HHMM format (e.g., "0930" for 9:30am)
Timezone: Critical for accurate session detection
Opening Bar Format
Timeframe: The bar size for capturing the first bar's range
Show Midline: Toggle the mid-point line
Show Historical Ranges: Display previous sessions (recommended: leave ON)
Maximum Historical Ranges: Limit history to manage performance (1-500)
Range Style / MidLine Style: Solid, Dashed, or Dotted
Position: Label placement (Left or Right)
Show Prices: Include actual price values on labels
Statistical Levels
Lookback Periods: How many historical first bar ranges to analyze (default: 60)
Std Dev Multiplier 1/2: The sigma levels to project (default: 1.0 and 2.0)
All visual settings (colors, line width, label size)
Fibonacci Extensions
Show Fib Extensions: Enable/disable Fibonacci projections
Measured Move Extensions 1-4: The multipliers (default: 1.618, 2.618, 3.618, 4.618)
Visual customization options
OR Rotations
Rotation Increment: The point value for your instrument
NQ: 65 points
ES: 15 points
Adjust for other instruments based on their typical rotation behavior
Show Rotation Labels: Display level numbers and point values
Visual customization options
Use Cases
Gap Trading: When price gaps away from previous day's close, the first bar range shows the initial gap acceptance/rejection zone
Breakout Confirmation: Price breaking and holding above the first bar high with volume suggests trend day potential. Rotation levels provide measured targets.
Reversal Identification: Price reaching +2σ statistical level = rare event, potential exhaustion
Range Bound Days: Price oscillating between first bar high/low suggests range-bound session; trade reversals at extremes
Institutional Level Awareness: OR Rotations at 65 points (NQ) align with levels professional traders watch
Technical Notes
The indicator uses request.security() with lookahead=barmerge.lookahead_on to ensure the first bar levels are captured correctly
All drawing objects (lines, labels, fills) are managed in arrays with automatic cleanup to prevent memory issues
The statistical calculations use array.avg() and array.stdev() for accurate probability estimates
Rotation levels use individual line variables (like Fibonacci) rather than loops for reliability
Summary
This indicator is original in its combination of three distinct methodologies for projecting levels from a session's opening range:
Statistical Analysis - No other opening range indicator (to our knowledge) calculates standard deviation projections from historical first bar ranges
Time-Based Session Flexibility - Most OR indicators use only daily or fixed time periods; this allows any custom session window
Multiple Projection Methods - Traders can use statistical, Fibonacci, AND rotation levels together or separately
Candle Pattern Library [1CG]Candle Pattern Library
A comprehensive and easy-to-use Pine Script™ library for detecting single, two, and three-candle patterns. This library provides detailed pattern analysis including size classification, direction validation, and specific pattern identification.
Quick Start
1. Import the Library
import OneCleverGuy/CandlePatternLibrary/1 as CPL
2. Analyze Candles
Use the main analysis functions to detect patterns. You can analyze the current forming candle or confirmed historical candles.
// 1. Analyze candles (Current , Previous , and the one before )
// Note: We use full variable names for clarity.
CandleData candleNewest = CPL.analyzeCandle(open, high, low, close, 250, 50, 10, 50, 85)
CandleData candleMiddle = CPL.analyzeCandle(open , high , low , close , 250, 50, 10, 50, 85)
CandleData candleOldest = CPL.analyzeCandle(open , high , low , close , 250, 50, 10, 50, 85)
// 2. Analyze multi-candle patterns
// Pass candles in chronological order: Oldest -> Newest
var twoCandleData = CPL.analyzeTwoCandlePattern(candleMiddle, candleNewest, 10, 85)
var threeCandleData = CPL.analyzeThreeCandlePattern(candleOldest, candleMiddle, candleNewest)
Enums Reference
These are the Enum Types exported by the library. When checking results, use the pattern Alias.EnumType.Value (e.g., CPL.CandlePattern.Hammer).
CandlePattern
Enum Type for single-candle formations.
Usage: CPL.CandlePattern.
Values:
Unknown : No specific pattern detected.
RegularBullish : A standard bullish candle.
RegularBearish : A standard bearish candle.
BullishMarubozu : Bullish candle with little to no wicks.
BearishMarubozu : Bearish candle with little to no wicks.
Hammer : Small body at the top of the range (bullish reversal).
ShootingStar : Small body at the bottom of the range (bearish reversal).
SpinningTop : Small body centered in the range.
Doji : Open and close are effectively equal.
LongLeggedDoji : Doji with long upper and lower wicks.
CrossDoji : Doji with the body in the upper section.
DragonflyDoji : Doji where open/close are at the high.
InvertedCrossDoji : Doji with the body in the lower section.
GravestoneDoji : Doji where open/close are at the low.
FourPriceDoji : Open, High, Low, and Close are all equal.
TwoCandlePattern
Enum Type for two-candle formations.
Usage: CPL.TwoCandlePattern.
Values:
None : No two-candle pattern detected.
BullishEngulfingWeak : Bullish candle engulfs the previous body (close does not engulf range).
BullishEngulfingStrong : Bullish candle completely engulfs the previous body close outside range.
BearishEngulfingWeak : Bearish candle engulfs the previous body.
BearishEngulfingStrong : Bearish candle completely engulfs the previous body.
InsideBar : The second candle is completely contained within the first.
TweezerTop : Two candles with matching highs (bearish reversal).
TweezerBottom : Two candles with matching lows (bullish reversal).
BullishRailRoad : Two opposite Marubozus (Down -> Up).
BearishRailRoad : Two opposite Marubozus (Up -> Down).
ThreeCandlePattern
Enum Type for three-candle formations.
Usage: CPL.ThreeCandlePattern.
Values:
None : No three-candle pattern detected.
ThreeWhiteSoldiers : Three consecutive bullish candles.
ThreeBlackCrows : Three consecutive bearish candles.
ThreeWhiteSoldiersWithBullishFVG : Three White Soldiers containing a Bullish FVG.
ThreeWhiteSoldiersWithBearishFVG : Three White Soldiers containing a Bearish FVG.
ThreeBlackCrowsWithBullishFVG : Three Black Crows containing a Bullish FVG.
ThreeBlackCrowsWithBearishFVG : Three Black Crows containing a Bearish FVG.
MorningStar : Bearish -> Small/Doji -> Bullish (Bullish Reversal).
EveningStar : Bullish -> Small/Doji -> Bearish (Bearish Reversal).
BullishAbandonedBaby : Morning Star with gaps between all candles.
BearishAbandonedBaby : Evening Star with gaps between all candles.
EngulfingSandwich : Bearish -> Bullish (Engulfing) -> Bearish (Inside).
BullishFairValueGap : A gap between Candle 1 High and Candle 3 Low.
BearishFairValueGap : A gap between Candle 1 Low and Candle 3 High.
CandleSize
Enum Type for candle size classification.
Usage: CPL.CandleSize.
Values:
Short
Normal
Long
CandleDirection
Enum Type for candle direction classification.
Usage: CPL.CandleDirection.
Values:
Bearish
Neutral
Bullish
Function Reference
Analysis Functions
analyzeCandle(_open, _high, _low, _close, _avgSize, _sizeThresholdPct, _equivTolerance, _bodyTolerance, _positionThreshold)
analyzeCandle - Analyzes a single candle's OHLC data to determine its size, direction, and single-candle pattern.
Parameters:
_open (float) : (float) - Candle open price.
_high (float) : (float) - Candle high price.
_low (float) : (float) - Candle low price.
_close (float) : (float) - Candle close price.
_avgSize (float) : (float) - Baseline size (wick range) to compare against.
_sizeThresholdPct (float) : (float) - % difference from average to be considered Long/Short (e.g., 50.0).
_equivTolerance (float) : (float) - Absolute price diff for Close to equal Open (Doji checks).
_bodyTolerance (float) : (float) - Absolute price diff for "Small Body" checks.
_positionThreshold (int) : (int) - Int (0-100) determining valid wick ratios for Hammers/Shooting Stars (e.g., 85).
Returns: (CandleData) - CandleData object containing CandlePattern, CandleSize, CandleDirection.
analyzeTwoCandlePattern(_candle1, _candle2, _equivTolerance, _positionThreshold)
analyzeTwoCandlePattern - Analyzes two consecutive candles to find pairs like Engulfing, Tweezers, or Inside Bars.
Parameters:
_candle1 (CandleData) : (CandleData) - The first (older) candle data (previous).
_candle2 (CandleData) : (CandleData) - The second (newer) candle data (current).
_equivTolerance (float) : (float) - Price tolerance for matching highs/lows (Tweezers).
_positionThreshold (int) : (int) - Threshold for wick validations.
Returns: (TwoCandleData) - TwoCandleData object containing TwoCandlePattern.
analyzeThreeCandlePattern(_candle1, _candle2, _candle3)
analyzeThreeCandlePattern - Analyzes three consecutive candles to find complex patterns like Morning Stars, Abandoned Babies, or Three White Soldiers.
Parameters:
_candle1 (CandleData) : (CandleData) - The first (oldest) candle data.
_candle2 (CandleData) : (CandleData) - The second (middle) candle data.
_candle3 (CandleData) : (CandleData) - The third (newest) candle data.
Returns: (ThreeCandleData) - ThreeCandleData object containing ThreeCandlePattern.
Naming Utilities
getPatternName(_pattern)
getPatternName - Returns the string name of a candle pattern.
Parameters:
_pattern (CandlePattern) : (CandlePattern) - The candle pattern enum value.
Returns: (string) - Human-readable pattern name (e.g., "Hammer").
getTwoCandlePatternName(_pattern)
getTwoCandlePatternName - Returns the string name of a two-candle pattern.
Parameters:
_pattern (TwoCandlePattern) : (TwoCandlePattern) - The two-candle pattern enum value.
Returns: (string) - Human-readable pattern name (e.g., "Bullish Engulfing").
getThreeCandlePatternName(_pattern)
getThreeCandlePatternName - Returns the string name of a three-candle pattern.
Parameters:
_pattern (ThreeCandlePattern) : (ThreeCandlePattern) - The three-candle pattern enum value.
Returns: (string) - Human-readable pattern name (e.g., "Morning Star").
getSizeName(_size)
getSizeName - Returns the string name of a candle size.
Parameters:
_size (CandleSize) : (CandleSize) - The candle size enum value.
Returns: (string) - Human-readable size name ("Short", "Normal", or "Long").
getDirectionName(_direction)
getDirectionName - Returns the string name of a candle direction.
Parameters:
_direction (CandleDirection) : (CandleDirection) - The candle direction enum value.
Returns: (string) - Human-readable direction name ("Bullish", "Bearish", or "Neutral").
Session Range Control [PointAlgo]Session Range Control (SRC)
The Session Range Control (SRC) indicator provides a structured view of intraday price behavior by tracking where the current price sits within the session’s high–low range and how today’s volatility compares to the Average Daily Range (ADR). It combines range analytics, momentum context, volatility interpretation, and visual cues to help traders understand session strength and shifts in intraday conditions.
Core Concept
Every trading session forms a unique high and low. SRC continuously reads these values and calculates the Position in Range, expressed on a scale from 0% to 100%:
0% → Price at Day Low
100% → Price at Day High
50% → Mid-range equilibrium
By normalizing price into a percentage, traders can quickly interpret where market pressure is concentrated during the session.
Trend Zones and Market State
SRC divides the range into logical zones to show the likely sentiment of the session:
1. Strong Uptrend Zone (Above Threshold)
When price consistently holds above the user-defined upper threshold (e.g., 60%), the indicator marks a Strong Uptrend.
This typically reflects:
Persistent intraday buying pressure
Price acceptance near the upper part of the range
Reduced likelihood of deep pullbacks
2. Strong Downtrend Zone (Below Threshold)
When price remains below the lower threshold (e.g., 40%), SRC signals a Strong Downtrend, indicating:
Dominant intraday selling
Consistent pressure keeping price near session lows
3. Bullish / Bearish Zones
Between the midline and strong thresholds, SRC displays softer trend zones:
Above 50% = Bullish Zone
Below 50% = Bearish Zone
These zones help classify whether price is trending, balanced, or drifting.
4. Neutral Territory
When price hovers around the mid-level without conviction, the indicator treats it as a neutral or undecided phase.
Signal Logic :
SRC includes built-in momentum shift signals based on range transitions:
Long Signal
Triggered when price crosses upward through 50%, often showing:
A shift from intraday weakness to strength
Buyers gaining control of the session
Short Signal
Triggered when price crosses downward through 50%, suggesting:
Loss of intraday strength
Sellers taking control
These signals help highlight potential turning points inside the session.
Extreme Levels :
SRC highlights the top and bottom 10% of the range:
> 90% = Extreme High (Overbought intraday condition)
< 10% = Extreme Low (Oversold intraday condition)
These conditions can be useful for identifying overextended movements or potential reaction zones.
ADR Comparison and Volatility Context :
The indicator also measures how today’s price range compares to the Average Daily Range (ADR):
Range Expanding: Today’s range is significantly larger than the ADR
Indicates heightened volatility
Often associated with trending or breakout environments
Range Compressing: Today’s range is much smaller
Suggests low volatility
Common before breakout phases
Characteristic of consolidation or balanced markets
This volatility context helps traders assess whether the session is behaving within normal boundaries or deviating significantly.
Dashboard Overview :
When enabled, the dashboard summarizes key intraday metrics in a structured table:
Trend status (Strong Uptrend, Strong Downtrend, Bullish, Bearish, Neutral)
Range position (%)
Signal status (Long Cross, Short Cross, Extreme High/Low, or None)
Day range calculation
Range vs ADR (%)
Day High / Day Low
Current price level
Simplified action label based on current conditions
This provides a quick reference system to interpret both trend and volatility at a glance without analyzing the full chart visually.
Visual Elements
SRC includes:
Colored dynamic plot for easy trend recognition
Horizontal reference lines at key levels (0%, 50%, 100%, strong-trend thresholds)
Background shading during extreme zone conditions
A separate ADR comparison plot
These visuals ensure the indicator remains intuitive regardless of chart style or timeframe.
Alerts
The script includes alert conditions for:
Long cross
Short cross
Strong trend detection
Extreme high / extreme low
These allow users to automate notifications during key market events without manually monitoring the chart.
Customization Options
Users can configure:
ADR length
Strong trend thresholds
Dashboard visibility
Dashboard position on chart
This makes SRC adaptable to different trading instruments and intraday styles.
Usage Notes
Works best on intraday timeframes where session boundaries are clearly defined.
Designed for analytical interpretation—trend bias, volatility phase, and range structure.
Can complement other tools such as moving averages, volume, or market structure analysis.
Disclaimer :
This indicator is intended for chart analysis and educational purposes only.
It does not generate financial, investment, or trading advice.
Users should validate signals with additional research and apply proper risk management.
Trend Following $BTC - Multi-Timeframe Structure + ReversTREND FOLLOWING STRATEGY - MULTI-TIMEFRAME STRUCTURE BREAKOUT SYSTEM
Strategy Overview
This is an enhanced Turtle Trading system designed for cryptocurrency spot trading. It combines Donchian Channel breakouts with multi-timeframe structure filtering and ATR-based dynamic risk management. The strategy trades both long and short positions using reverse signal exits to maximize trend capture.
Core Features
Multi-Timeframe Structure Filtering
The strategy uses Swing High/Low analysis to identify market structure trends. You can customize the structure timeframe (default: 3 minutes) to match your trading style. Only enters trades aligned with the identified trend direction, avoiding counter-trend positions that often lead to losses.
Reverse Signal Exit System
Instead of using fixed stop-losses or time-based exits, this strategy exits positions only when a reverse entry signal triggers. This approach maximizes trend profits and reduces premature exits during normal market retracements.
ATR Dynamic Pyramiding
Automatically adds positions when price moves 0.5 ATR in your favor. Supports up to 2 units maximum (adjustable). This pyramid scaling enhances profitability during strong trends while maintaining disciplined risk management.
Complete Risk Management
Fixed position sizing at 5000 USD per unit. Includes realistic commission fees of 0.06% (Binance spot rate). Initial capital set at 10,000 USD. All backtest parameters reflect real-world trading conditions.
Trading Logic
Entry Conditions
Long Entry: Close price breaks above the 20-period high AND structure trend is bullish (price breaks above Swing High)
Short Entry: Close price breaks below the 20-period low AND structure trend is bearish (price breaks below Swing Low)
Position Scaling
Long positions: Add when price rises 0.5 ATR or more
Short positions: Add when price falls 0.5 ATR or more
Maximum 2 units including initial entry
Exit Conditions
Long Exit: Triggers when short entry signal appears (price breaks 20-period low + structure turns bearish)
Short Exit: Triggers when long entry signal appears (price breaks 20-period high + structure turns bullish)
Default Parameters
Channel Settings
Entry Channel Period: 20 (Donchian Channel breakout period)
Exit Channel Period: 10 (reserved parameter)
ATR Settings
ATR Period: 20
Stop Loss ATR Multiplier: 2.0
Add Position ATR Multiplier: 0.5
Structure Filter
Swing Length: 300 (Swing High/Low calculation period)
Structure Timeframe: 3 minutes
Adjust these based on your trading timeframe and asset volatility
Position Management
Maximum Units: 2 (including initial entry)
Capital Per Unit: 5000 USD
Visualization Features
Background Colors
Light Green: Bullish market structure
Light Red: Bearish market structure
Dark Green: Long position entry
Dark Red: Short position entry
Optional Display Elements (Default: OFF)
Entry and exit channel lines
Structure high/low reference lines
ATR stop-loss indicator
Next position add level
Entry/exit labels
Alert Message Format
The strategy sends notifications with the following format:
Entry: "5m Long EP:90450.50"
Add Position: "15m Add Long 2/2 EP:91000.25"
Exit: "5m Close Long Reverse Signal"
Where the first part shows your current chart timeframe and EP indicates Entry Price
Backtest Settings
Capital Allocation
Initial Capital: 10,000 USD
Per Entry: 5,000 USD (split into 2 potential entries)
Leverage: 0x (spot trading only)
Trading Costs
Commission: 0.06% (Binance spot VIP0 rate)
Slippage: 0 (adjust based on your experience)
Best Use Cases
Ideal Scenarios
Trending markets with clear directional movement
Moderate to high volatility assets
Timeframes from 1-minute to 4-hour charts
Best suited for major cryptocurrencies with good liquidity
Not Recommended For
Highly volatile choppy/ranging markets
Low liquidity small-cap coins
Extreme market conditions or black swan events
Usage Recommendations
Timeframe Guidelines
1-5 minute charts: Use for scalping, consider Swing Length 100-160
15-30 minute charts: Good for short-term trading, Swing Length 50-100
1-4 hour charts: Suitable for swing trading, Swing Length 20-50
Optimization Tips
Always backtest on historical data before live trading
Adjust swing length based on asset volatility and your timeframe
Different cryptocurrencies may require different parameter settings
Enable visualization options initially to understand entry/exit points
Monitor win rate and drawdown during backtesting
Technical Details
Built on Pine Script v6
No repainting - uses proper bar referencing with offset
Prevents lookahead bias with lookahead=off parameter
Strategy mode with accurate commission and slippage modeling
Multi-timeframe security function for structure analysis
Proper position state tracking to avoid duplicate signals
Risk Disclaimer
This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. Backtesting results may differ from live trading due to slippage, execution delays, and changing market conditions. The strategy performs best in trending markets and may experience drawdowns during ranging conditions. Always practice proper risk management and never risk more than you can afford to lose. It is recommended to paper trade first and start with small position sizes when going live.
How to Use
Add the strategy to your TradingView chart
Select your desired timeframe (1m to 4h recommended)
Adjust parameters based on your risk tolerance and trading style
Review backtest results in the Strategy Tester tab
Set up alerts for automated notifications
Consider paper trading before risking real capital
Tags
Trend Following, Turtle Trading, Donchian Channel, Structure Breakout, ATR, Cryptocurrency, Spot Trading, Risk Management, Pyramiding, Multi-Timeframe Analysis
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Strategy Name: Trend Following BTC
Version: v1.0
Pine Script Version: v6
Last Updated: December 2025
Direction via Zone Break [by rukich]🟠 OVERVIEW
The indicator shows the direction of movement and zones: SSL, BSL, FVG.
Zones serve as support/resistance and as validation/invalidation of a movement reversal.
🟠 COMPONENTS
The direction of movement is built based on a three-candle swing high (BSL) and swing low (SSL) pattern. If swing high (BSL) and swing low (SSL) are formed, and then an internal swing high/low is formed (depending on the direction of movement), then in case the initial movement continues — for example, in an upward movement — the new swing low (SSL) will be the minimum before the update, i.e., the internal low, while the swing high (BSL) will be formed according to the three-candle pattern.
A change of direction is considered when a candle closes beyond the key swing high/low (BSL/SSL), depending on the direction of movement. For example, in an upward movement, a break occurs when a candle closes beyond the swing low (SSL). After that, the swing high (BSL) will be the nearest fractal (swing high), and the swing low (SSL) will be formed according to the three-candle pattern.
All the above logic also applies to downward movements.
Within each movement, there can be FVG zones, which can act as support/resistance or indicate weakness in the movement direction.
Note: if the movement is upward, only bullish FVG+ will be displayed; if the movement is downward, only bearish FVG- will be displayed.
Weakness of movement direction.
For example, consider an upward impulse with the nearest FVG+ zone. If the price closes beyond the lower boundary of the zone, it will be considered invalidated (inv. FVG-), which in turn indicates weakness in the movement direction and a possible local short, which may subsequently lead to a break of the entire movement.
🟠 HOW TO USE
There are only two visual settings in the configuration:
Show previous SSL/BSL – enables/disables the display of all previous SSL/BSL zones
Show Bullish/Bearish trend – enables/disables background shading between SSL and BSL for visual understanding of the movement direction
On the chart, the following are displayed:
Labels with current SSL/BSL
FVG+- / inv. FVG+- zones, for trading in the movement direction
In case the nearest FVG is invalidated, a label will appear with the text: Weak bullish/bearish & local short/long (this is not a signal, but only indicates the probability of a potential move based on the weakness of the nearest zone)
🟠 CONCLUSION
The indicator helps determine the current movement with zones for trading in the direction, and also indicates movement weakness through invalidation of the nearest zones.
FluxPulse Beacon## FluxPulse Beacon
FluxPulse Beacon applies a microstructure lens to every bar, combining directional thrust, realized volatility, and multi-timeframe liquidity checks to decide whether the tape is being pushed by real sponsorship or just noise. The oscillator's color-coded columns and adaptive burst thresholds transform complex flow dynamics into a single actionable flux score for futures and equities traders.
HOW IT WORKS
Momentum Extraction – Price differentials over a configurable pulse distance are smoothed using exponential moving averages to isolate directional thrust without reacting to single prints.
Volatility + Liquidity Normalization – The momentum stream is divided by realized volatility and multiplied by both local and higher-timeframe EMA volume ratios, ensuring pulses only appear when volatility and liquidity align.
Adaptive Thresholding – A volatility-derived standard deviation of flux is blended with the base threshold so bursts scale automatically between low-volatility and high-volatility market conditions.
Divergence Engine – Linear regression slopes compare price vs. flux to tag bullish/bearish divergences, highlighting stealth accumulation or distribution zones.
HOW TO USE IT
Continuation Entries : Go with the trend when histogram bars stay above the adaptive threshold, the signal line confirms, and trend bias agrees—this is where liquidity-backed follow-through lives.
Fade Plays : Watch for divergence alerts and shrinking compression values; when flux prints below zero yet price grinds higher, hidden selling pressure often precedes rollovers.
Session Filter : Compression percentage in the diagnostics table instantly tells you whether to trade thin overnight sessions—low compression means stand down.
VISUAL FEATURES
Dynamic background heat maps flux magnitude, while threshold lines provide a quick read on whether a pulse is statistically significant.
Diagnostics table displays live flux, signal, adaptive threshold, and compression for quick reference.
Alert-first workflow: The surface is intentionally clean—bursts and divergences are delivered via alerts instead of on-chart clutter.
PARAMETERS
Trend EMA Length (default: 34): Defines the macro bias anchor; increase for higher-timeframe confirmation.
Pulse Distance (default: 8): Controls how sensitive momentum extraction becomes.
Volatility Window (default: 21): Sample window for realized volatility normalization.
Liquidity Window (default: 55): Volume smoothing window that proxies liquidity expansion.
Liquidity Reference TF (default: 60): Select a higher timeframe to cross-check whether current volume matches institutional flows.
Adaptive Threshold (default: enabled): Disable for fixed thresholds on slower markets; enable for high-volatility assets.
Base Burst Threshold (default: 1.25): Minimum flux magnitude that qualifies as an actionable pulse.
ALERTS
The indicator includes four alert conditions:
Bull Burst: Detects upside liquidity pulses
Bear Burst: Detects downside liquidity pulses
Bull Divergence: Flags bullish delta divergence
Bear Divergence: Flags bearish delta divergence
LIMITATIONS
This indicator is designed for liquid futures and equity markets. Performance may degrade in low-volume or highly illiquid instruments. The adaptive threshold system works best on timeframes where sufficient volatility history exists (typically 15-minute charts and above). Divergence signals are probabilistic and should be confirmed with price action.
INSERT_CHART_SNAPSHOT_URL_HERE
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## RangeLattice Mapper
RangeLattice Mapper constructs a higher-timeframe scaffolding on any intraday chart, locking in structural highs/lows, mid/quarter grids, VWAP confluence, and live acceptance/break analytics. It provides a non-repainting overlay that turns range management into a disciplined process.
HOW IT WORKS
Structure Harvesting – Using request.security() , the script samples highs/lows from a user-selected timeframe (default 240 minutes) over a configurable lookback to establish the dominant range.
Grid Construction – Midpoint and quarter levels are derived mathematically, mirroring how institutional traders map distribution/accumulation zones.
Acceptance Detection – Consecutive closes inside the range flip an acceptance flag and darken the cloud, signaling balanced auction conditions.
Break Confirmation – Multi-bar closes outside the structure raise break labels and alerts, filtering the countless fake-outs that plague breakout traders.
VWAP Fan Overlay – Session VWAP plus ATR-based bands provide a live measure of flow centering relative to the lattice.
HOW TO USE IT
Range Plays : Fade taps of the outer rails only when acceptance is active and VWAP sits inside the grid—this is where mean-reversion works best.
Breakout Plays : Wait for confirmed break labels before entering expansion trades; the dashboard's Width/ATR metric tells you if the expansion has enough fuel.
Market Prep : Carry the same lattice from pre-market into regular trading hours by keeping the structure timeframe fixed; alerts keep you notified even when managing multiple tickers.
VISUAL FEATURES
Range Tap and Mid Pivot markers provide a tape-reading breadcrumb trail for journaling.
Cloud fill opacity tightens when acceptance persists, visually signaling balance compressions ready to break.
Dashboard displays absolute width, ATR-normalized width, and current state (Balanced vs Transitional) so you can glance across charts quickly.
Acceptance Flag toggle: Keep the repeated acceptance squares hidden until you need to audit balance.
PARAMETERS
Structure Timeframe (default: 240): Choose the timeframe whose ranges matter most (4H for indices, Daily for stocks).
Structure Lookback (default: 60): Bars sampled on the structure timeframe.
Acceptance Bars (default: 8): How many consecutive bars inside the range confirm balance.
Break Confirmation Bars (default: 3): Bars required outside the range to validate a breakout.
ATR Reference (default: 14): ATR period for width normalization.
Show Midpoint Grid (default: enabled): Display the midpoint and quarter levels.
Show Adaptive VWAP Fan (default: enabled): Toggle the VWAP channel for assets where volume distribution matters most.
Show Acceptance Flags (default: disabled): Turn the acceptance markers on/off for maximum visual control.
Show Range Dashboard (default: enabled): Disable if screen space is limited, re-enable during prep sessions.
ALERTS
The indicator includes five alert conditions:
Range High Tap: Price interacted with the RangeLattice high
Range Low Tap: Price interacted with the RangeLattice low
Range Mid Tap: Price interacted with the RangeLattice mid
Range Break Up: Confirmed upside breakout
Range Break Down: Confirmed downside breakout
LIMITATIONS
This indicator works best on liquid instruments with clear structural levels. On very low timeframes (1-minute and below), the structure may update too frequently to be useful. The acceptance/break confirmation system requires patience—faster traders may find the multi-bar confirmation too slow for scalping. The VWAP fan is session-based and resets daily, which may not suit all trading styles.
---
Donchian ForecastDonchian Forecast – multi-timeframe Donchian/ATR bias with ADX regime blending
Donchian Forecast is a multi-timeframe bias tool that turns classic Donchian channels into a normalized trend/mean-reversion “forecast” and a single bias value in .
It projects a short polyline path from the current price and shows how that path adapts when the market shifts from ranging to trending (via ADX).
---
Concept
1. Donchian position → direction
For each timeframe, the script measures where price sits inside its Donchian channel:
-1 = near channel low
0 = middle
+1 = near channel high
This Donchian position is multiplied by ATR to create a **price delta** (how far the forecast moves from current price).
2. Local behavior: trend vs mean-reversion around Donchian
The indicator treats the edges vs middle of the Donchian channel differently:
* By default, edges behave more “trend-like”, middle more “mean-reverting”.
* If you enable the reversed option, this logic flips (edges = mean-reverting, middle = trend-
like).
* This “local” behavior is controlled smoothly by the absolute Donchian position |pos| (not by hard zone switches).
3. Global ADX modulation (regime aware)
ADX is mapped from your chosen low → high thresholds into a signed factor in :
* ADX ≤ low → -1 (fully reversed behavior, more range/mean-reversion oriented)
* ADX ≥ high → +1 (fully normal behavior, more trend oriented)
* Values in between create a **smooth transition**.
* This global factor can:
* Keep the local behavior as is (trending regime),
* Flip it (range regime), or
* Neutralize it (indecisive regime).
4. Multi-timeframe aggregation (1x–12x chart timeframe)
* The script repeats the same logic across 12 horizons:
* 1x = chart timeframe
* 2x..12x = multiples of the chart timeframe (e.g., 5m → 10m, 15m, …; 1h → 2h, 3h, …).
* For each horizon it builds:
* Donchian position
* ATR-scaled delta (in price units)
* Locally + globally blended delta (after Donchian + ADX logic).
* These blended deltas are ATR-weighted and summed into a single bias in , which is then shown as Bias % in the on-chart table.
---
### What you see on the chart
* Forecast polyline
* Starting at the current close, the indicator draws a short chain of **up to 12 segments**:
* Segment 1: from current price → 1x projection
* Segment 2: 1x → 2x projection
* … up to 12x.
* Each segment is:
* Green when its blended delta is ≥ 0 (upward bias)
* Red when its blended delta is < 0 (downward bias)
* This is not future price, but a synthetic path showing how the Donchian/ATR/ADX model “expects” price to drift across multiple horizons.
* Bias table (top-center)
* `Bias: X.Y%`
* > 0% (green) → net upward bias across horizons
* < 0% (red) → net downward bias
* Magnitude (e.g., ±70–100%) ≈ strength of the directional skew.
* `ADX:` current ADX value (from your DMI settings).
* `ADXBlend:` the signed ADX factor in :
* +1 ≈ fully “trend-interpretation” of Donchian behavior
* 0 ≈ neutral / mixed regime
* -1 ≈ fully “reversed/mean-reversion interpretation”
---
Inputs & settings
Core Donchian / ATR
* Donchian Length – lookback for Donchian high/low on each horizon.
* Price Source – input series used for position inside the Donchian channel (default: close).
* ATR Length – ATR lookback for all horizons.
* ATR Multiplier – scales the size of each forecast step in price units (higher = longer segments / more aggressive forecast).
*Local behavior at high ADX
* Reversed local blend at high ADX?
* Off (default) – edges behave more trend-like, middle more mean-reverting.
* On – flips that logic (edges more mean-reverting, middle more trend-like).
* The actual effect is always modulated by the global ADX factor, so you can experiment with how the regime logic feels in different markets.
Global ADX blending
* DMI DI Length – period for the DI+ and DI- components.
* ADX Smoothing – smoothing length for ADX.
* ADX low (mean-rev zone) – below this level, the global factor pushes behavior toward reversal/range logic .
* ADX high (trend zone) – above this level, the global factor pushes behavior toward **trend logic**.
* Values between low and high create a smooth blend rather than a hard on/off switch.
---
How to use it (examples)
* Directional bias dashboard
* Use the Bias % as a compact summary of multi-horizon Donchian/ATR/ADX conditions:
* Consider only trades aligned with the sign of Bias (e.g., longs only when Bias > 0).
* Use the magnitude to filter for **strong vs weak** directional contexts.
* Regime-aware context
* Watch ADX and ADXBlend:
* High ADX & ADXBlend ≈ +1 → favor trend-continuation ideas.
* Low ADX & ADXBlend ≈ -1 → favor range/mean-reversion ideas.
* Around 0 → mixed/transition regimes; forecasts will be more muted.
* Visual sanity check for systems
* Overlay Donchian Forecast on your usual entries/exits to see:
* When your system trades **with** the multi-TF Donchian bias.
* When it trades **against** it (possible fade setups or no-trade zones).
This script does not generate entry or exit signals by itself. It is a contextual/forecast tool meant to sit on top of your own trading logic.
---
Notes
* Works on most symbols and timeframes; higher-timeframe multiples are built from the chart timeframe.
* The forecast line is a model-based projection, not a prediction or guarantee of future price.
* Always combine this with your own risk management, testing, and judgement. This is for educational and analytical purposes only and is not financial advice.
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.
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research
## 🎯 What Is This Strategy?
The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions.
Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts.
---
## 💡 Why This Strategy Works
Most traders fail because they:
- **Chase prices** after big moves (buying high, selling low)
- **Overtrade** in choppy, directionless markets
- **Exit too early** or hold losses too long
This strategy solves all three problems:
1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts)
2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade
3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management
**The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting.
---
## 📊 Best Markets & Timeframes
### ⭐ OPTIMAL PERFORMANCE:
**Crude Oil (WTI) - 12H Timeframe**
- **Why it works**: Oil markets have predictable volatility patterns and respect technical levels
**AAVE/USD - 4H to 12H Timeframe**
- **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes
### ✅ Also Works Well On:
- **BTC/USD** (12H, Daily) - Lower frequency but high win rate
- **ETH/USD** (8H, 12H) - Balanced volatility and liquidity
- **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset
- **EUR/USD** (4H, 8H) - Lower volatility, requires patience
### ❌ Avoid Using On:
- Timeframes below 4H (too much noise)
- Low-liquidity altcoins (wide spreads kill performance)
- Strongly trending markets without pullbacks (Bitcoin in 2021)
- News-driven instruments during major events
---
## 🎛️ Understanding The Settings
### Core Stochastic Parameters
**Stochastic Length (Default: 16)**
- Controls the lookback period for price comparison
- Lower = faster reactions, more signals (10-14 for volatile markets)
- Higher = smoother signals, fewer trades (16-21 for stable markets)
- **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H
**Overbought Level (Default: 70)**
- Threshold for short entries
- Lower values (65-70) = more trades, earlier entries
- Higher values (75-80) = fewer but higher-conviction trades
- **Sweet spot**: 70 works for most assets
**Oversold Level (Default: 25)**
- Threshold for long entries
- Higher values (25-30) = more trades, earlier entries
- Lower values (15-20) = fewer but stronger bounce setups
- **Sweet spot**: 20-25 depending on market conditions
**Smooth K & Smooth D (Default: 7 & 3)**
- Additional smoothing to filter out whipsaws
- K=7 makes the indicator slower and more reliable
- D=3 is the signal line that confirms the trend
- **Don't change these unless you know what you're doing**
---
### Risk Management
**Stop Loss % (Default: 2.2%)**
- Automatically exits losing trades
- Should be 1.5x to 2x your average market volatility
- Too tight = death by a thousand cuts
- Too wide = uncontrolled losses
- **Calibration**: Check ATR indicator and set SL slightly above it
**Take Profit % (Default: 7%)**
- Automatically exits winning trades
- Should be 2.5x to 3x your stop loss (reward-to-risk ratio)
- This default gives 7% / 2.2% = 3.18:1 R:R
- **The golden rule**: Never have R:R below 2:1
---
### Trade Filters
**Bar Cooldown Filter (Default: ON, 3 bars)**
- **What it does**: Forces you to wait X bars after closing a trade before entering a new one
- **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets
- **Settings guide**:
- 3 bars = Standard (good for most cases)
- 5-7 bars = Conservative (oil, slow-moving assets)
- 1-2 bars = Aggressive (only for experienced traders)
**Exit on Opposite Extreme (Default: ON)**
- Closes your long when stochastic hits overbought (and vice versa)
- Acts as an early profit-taking mechanism
- **Leave this ON** unless you're testing other exit strategies
**Divergence Filter (Default: OFF)**
- Looks for price/momentum divergences for additional confirmation
- **When to enable**: Trending markets where you want fewer but higher-quality trades
- **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time)
---
## 🚀 Quick Start Guide
### Step 1: Set Up in TradingView
1. Open TradingView and navigate to your chart
2. Click "Pine Editor" at the bottom
3. Copy and paste the strategy code
4. Click "Add to Chart"
5. The strategy will appear in a separate pane below your price chart
### Step 2: Choose Your Market
**If you're trading Crude Oil:**
- Timeframe: 12H
- Keep all default settings
- Watch for signals during London/NY overlap (8am-11am EST)
**If you're trading AAVE or crypto:**
- Timeframe: 4H or 12H
- Consider these adjustments:
- Stochastic Length: 10-14 (faster)
- Oversold: 20 (more aggressive)
- Take Profit: 8-10% (higher targets)
### Step 3: Wait for Your First Signal
**LONG Entry** (Green circle appears):
- Stochastic crosses up below oversold level (25)
- Price likely near recent lows
- System places limit order at take profit and stop loss
**SHORT Entry** (Red circle appears):
- Stochastic crosses down above overbought level (70)
- Price likely near recent highs
- System places limit order at take profit and stop loss
**EXIT** (Orange circle):
- Position closes either at stop, target, or opposite extreme
- Cooldown period begins
### Step 4: Let It Run
The biggest mistake? **Interfering with the system.**
- Don't close trades early because you're scared
- Don't skip signals because you "have a feeling"
- Don't increase position size after a big win
- Don't revenge trade after a loss
**Follow the system or don't use it at all.**
---
### Important Risks:
1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal.
2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses.
3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss.
4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage).
---
## 🔧 Optimization Guide
### When to Adjust Settings:
**Market Volatility Increased?**
- Widen stop loss by 0.5-1%
- Increase take profit proportionally
- Consider increasing cooldown to 5-7 bars
**Getting Too Few Signals?**
- Decrease stochastic length to 10-12
- Increase oversold to 30, decrease overbought to 65
- Reduce cooldown to 2 bars
**Getting Too Many Losses?**
- Increase stochastic length to 18-21 (slower, smoother)
- Enable divergence filter
- Increase cooldown to 5+ bars
- Verify you're on the right timeframe
### A/B Testing Method:
1. **Run default settings for 50 trades** on your chosen market
2. Document: Win rate, profit factor, max drawdown, emotional tolerance
3. **Change ONE variable** (e.g., oversold from 25 to 20)
4. Run another 50 trades
5. Compare results
6. Keep the better version
**Never change multiple settings at once** or you won't know what worked.
---
## 📚 Educational Resources
### Key Concepts to Learn:
**Stochastic Oscillator**
- Developed by George Lane in the 1950s
- Measures momentum by comparing closing price to price range
- Formula: %K = (Close - Low) / (High - Low) × 100
- Similar to RSI but more sensitive to price movements
**Mean Reversion vs. Trend Following**
- This is a **mean reversion** strategy (price returns to average)
- Works best in ranging markets with defined support/resistance
- Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks)
- Complement with trend filters for better results
**Risk:Reward Ratio**
- The cornerstone of profitable trading
- Winning 40% of trades with 3:1 R:R = profitable
- Winning 60% of trades with 1:1 R:R = breakeven (after fees)
- **This strategy aims for 45% win rate with 2.5-3:1 R:R**
### Recommended Reading:
- *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators)
- *"Mean Reversion Trading Systems"* by Howard Bandy
- *"The New Trading for a Living"* by Dr. Alexander Elder
---
## 🛠️ Troubleshooting
### "I'm not seeing any signals!"
**Check:**
- Is your timeframe 4H or higher?
- Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)?
- Is cooldown still active from a previous trade?
- Are you on a low-liquidity pair?
**Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds.
---
### "The strategy keeps losing money!"
**Check:**
- What's your win rate? (Below 35% is concerning)
- What's your profit factor? (Below 0.8 means serious issues)
- Are you trading during major news events?
- Is the market in a strong trend?
**Solution**:
1. Verify you're using recommended markets/timeframes
2. Increase cooldown period to avoid choppy markets
3. Reduce position size to 5% while you diagnose
4. Consider switching to daily timeframe for less noise
---
### "My stop losses keep getting hit!"
**Check:**
- Is your stop loss tighter than the average ATR?
- Are you trading during high-volatility sessions?
- Is slippage eating into your buffer?
**Solution**:
1. Calculate the 14-period ATR
2. Set stop loss to 1.5x the ATR value
3. Avoid trading right after market open or major news
4. Factor in 0.2% slippage for crypto, 0.1% for oil
---
## 💪 Pro Tips from the Trenches
### Psychological Discipline
**The Three Deadly Sins:**
1. **Skipping signals** - "This one doesn't feel right"
2. **Early exits** - "I'll just take profit here to be safe"
3. **Revenge trading** - "I need to make back that loss NOW"
**The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency.
---
### Position Management
**Scaling In/Out** (Advanced)
- Enter 50% position at signal
- Add 50% if stochastic reaches 10 (oversold) or 90 (overbought)
- Exit 50% at 1.5x take profit, let the rest run
**This is NOT for beginners.** Master the basic system first.
---
### Market Awareness
**Oil Traders:**
- OPEC meetings = volatility spikes (avoid or widen stops)
- US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after
- Summer driving season = different patterns than winter
**Crypto Traders:**
- Monday-Tuesday = typically lower volatility (fewer signals)
- Thursday-Sunday = higher volatility (more signals)
- Avoid trading during exchange maintenance windows
---
## ⚖️ Legal Disclaimer
This trading strategy is provided for **educational purposes only**.
- Past performance does not guarantee future results
- Trading involves substantial risk of loss
- Only trade with capital you can afford to lose
- No one associated with this strategy is a licensed financial advisor
- You are solely responsible for your trading decisions
**By using this strategy, you acknowledge that you understand and accept these risks.**
---
## 🙏 Acknowledgments
Strategy development inspired by:
- George Lane's original Stochastic Oscillator work
- Modern quantitative trading research
- Community feedback from hundreds of backtests
Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets.
---
**Good luck, stay disciplined, and trade the system, not your emotions.**
Automated Intraday Key LevelsThis indicator is designed for day traders who focus on price action and key support/resistance levels. It automates the morning routine of marking up charts by instantly plotting critical levels from the Previous Day, the Premarket Session, and the Current Live Session.
Instead of manually drawing lines every morning, this script dynamically calculates and anchors these levels to the market open, extending them across the trading day for a clean, professional workspace.
Key Features
1. Previous Day Context (Static - White Lines) Before the market opens, it is crucial to know where price closed and traded yesterday.
Prev High & Low: Major support/resistance boundaries.
Prev Close: A magnetic level often used for "Gap Fill" strategies.
Prev Open: Provides context on yesterday's directional sentiment.
2. Premarket Session (Static - Orange Lines) The script fetches data from the Extended Trading Hours session (04:00 – 09:30 EST) to identify the overnight range.
PM High & Low: A breakout above the PM High or breakdown below the PM Low often signals the start of a trend day.
PM Midpoint (Dashed): Represents the overnight equilibrium. Staying above this level indicates early bullish strength.
3. Current Day Stats (Dynamic - Blue Lines) Once the Regular Trading Hours (RTH) begin, the script tracks live price action.
Day High (HOD) & Low (LOD): These lines update in real-time as price pushes new extremes. They are thicker to denote their importance as immediate liquidity zones.
Day Midpoint (Dashed): Calculated as (High + Low) / 2. This is a dynamic trend filter; price holding above the daily midpoint suggests buyers are in control, while trading below suggests seller dominance.
Visual Guide
To keep the chart clean and readable, the levels are color-coded:
🟦 Solid Blue (Width 2): Current Day High / Low (The most active levels).
🟦 Dashed Blue: Current Day Midpoint (50% Retracement level).
🟧 Solid Orange: Premarket High / Low.
🟧 Dashed Orange: Premarket Midpoint.
⬜ Solid White: Previous Day Open, High, Low, Close.
All lines are anchored to the 09:30 EST start time to keep the pre-market area of your chart uncluttered.
Scout Regiment - MACD# Scout Regiment - MACD Indicator
## English Documentation
### Overview
Scout Regiment - MACD is an advanced implementation of the Moving Average Convergence Divergence indicator with enhanced features including dual divergence detection (histogram and MACD line), customizable moving average types, multi-timeframe analysis, and sophisticated visual elements. This indicator provides traders with comprehensive momentum analysis and high-probability reversal signals.
### What is MACD?
MACD (Moving Average Convergence Divergence) is a trend-following momentum indicator that shows the relationship between two moving averages:
- **MACD Line**: Difference between fast and slow EMAs
- **Signal Line**: Moving average of the MACD line
- **Histogram**: Difference between MACD line and signal line
- **Purpose**: Identifies trend direction, momentum strength, and potential reversals
### Key Features
#### 1. **Enhanced MACD Display**
**Three Core Components:**
**MACD Line** (Default: Blue/Orange, 2px)
- Fast EMA (13) minus Slow EMA (34)
- Shows momentum direction
- Color changes based on position relative to signal line:
- Blue: Above signal line (bullish)
- Orange: Below signal line (bearish)
- Can be toggled on/off
**Signal Line** (Default: White/Blue with transparency, 2px)
- EMA (9) of the MACD line
- Serves as trigger line for crossover signals
- Color varies based on settings
- Essential for identifying entry/exit points
**Histogram** (Default: 4-color gradient, 4px columns)
- Difference between MACD and signal line
- Visual representation of momentum strength
- Advanced 4-color scheme:
- **Dark Green (#26A69A)**: Positive and increasing (strong bullish)
- **Light Green (#B2DFDB)**: Positive but decreasing (weakening bullish)
- **Dark Red (#FF5252)**: Negative and decreasing (strong bearish)
- **Light Red (#FFCDD2)**: Negative but increasing (weakening bearish)
- Histogram tells the "story" of momentum changes
#### 2. **Customizable Moving Average Types**
**Oscillator MA Type** (MACD Line calculation):
- **EMA** (Exponential) - Default, more responsive
- **SMA** (Simple) - Smoother, less responsive
**Signal Line MA Type**:
- **EMA** (Exponential) - Default, faster signals
- **SMA** (Simple) - Slower, fewer false signals
**Flexibility**: Mix and match for different trading styles
- EMA/EMA: Most responsive (day trading)
- SMA/SMA: Smoothest (swing trading)
- EMA/SMA or SMA/EMA: Balanced approaches
#### 3. **Multi-Timeframe Capability**
**Current Chart Period** (Default: Enabled)
- Uses current timeframe automatically
- Simplest option for most traders
**Custom Timeframe Selection**
- Calculate MACD on any timeframe
- Display higher timeframe MACD on lower timeframe charts
- Example: View 1H MACD on 15min chart
- **Use Case**: Align lower timeframe trades with higher timeframe momentum
#### 4. **Visual Enhancement Features**
**Golden Cross / Death Cross Markers**
- Circles mark crossover points
- Color matches MACD line color
- Clearly identifies entry/exit signals
- Can be toggled on/off
**Zero Line** (White, 2px solid)
- Reference for positive/negative momentum
- Critical level for trend identification
- MACD above zero = Bullish bias
- MACD below zero = Bearish bias
**Color Transitions**
- MACD line changes color at signal line crosses
- Histogram shows momentum acceleration/deceleration
- Provides early warning of trend changes
#### 5. **Dual Divergence Detection System**
This indicator features TWO separate divergence detection systems:
**A. Histogram Divergence Detection**
- **Purpose**: Earlier divergence signals (most sensitive)
- **Detects**: Regular bullish and bearish divergences
- **Label**: "H涨" (Histogram Up), "H跌" (Histogram Down)
- **Special Feature**: Same-sign requirement option
- Top divergence: Both histogram points must be positive
- Bottom divergence: Both histogram points must be negative
- Filters out less reliable divergences
**B. MACD Line Divergence Detection**
- **Purpose**: Stronger, more reliable divergences
- **Detects**: Regular bullish and bearish divergences
- **Label**: "M涨" (MACD Up), "M跌" (MACD Down)
- **Use**: Confirmation of histogram divergences or standalone
**Divergence Types Explained:**
**Regular Bullish Divergence (Yellow)**
- **Price**: Lower lows
- **Indicator**: Higher lows (histogram OR MACD line)
- **Signal**: Potential upward reversal
- **Best**: Near support levels, oversold conditions
- **Entry**: After price breaks above recent resistance
**Regular Bearish Divergence (Blue)**
- **Price**: Higher highs
- **Indicator**: Lower highs (histogram OR MACD line)
- **Signal**: Potential downward reversal
- **Best**: Near resistance levels, overbought conditions
- **Entry**: After price breaks below recent support
#### 6. **Advanced Divergence Parameters**
**Histogram Divergence Settings:**
- **Price Reference**: Wicks (default) or Bodies
- **Right Lookback**: Bars to right of pivot (default: 2)
- **Left Lookback**: Bars to left of pivot (default: 5)
- **Max Range**: Maximum bars between divergences (default: 60)
- **Min Range**: Minimum bars between divergences (default: 5)
- **Same Sign Requirement**: Ensures both histogram points have same sign
- **Show Regular Divergence**: Toggle display
- **Show Labels**: Toggle divergence labels
**MACD Line Divergence Settings:**
- **Price Reference**: Wicks (default) or Bodies
- **Right Lookback**: Bars to right of pivot (default: 1)
- **Left Lookback**: Bars to left of pivot (default: 5)
- **Max Range**: Maximum bars between divergences (default: 60)
- **Min Range**: Minimum bars between divergences (default: 5)
- **Show Regular Divergence**: Toggle display
- **Show Labels**: Toggle divergence labels
**Independent Control**: Adjust histogram and MACD line divergences separately
### Configuration Settings
#### MACD Basic Settings
- **Fast EMA Period**: Fast moving average length (default: 13)
- **Slow EMA Period**: Slow moving average length (default: 34)
- **Signal Line Period**: Signal line length (default: 9)
- **Use Current Chart Period**: Auto-adjust to current timeframe
- **Select Period**: Choose custom timeframe
- **Show MACD & Signal Lines**: Toggle lines display
- **Show Cross Markers**: Toggle golden/death cross dots
- **Show Histogram**: Toggle histogram display
- **Show Crossover Color Change**: Enable MACD line color change
- **Show Histogram Colors**: Enable 4-color histogram scheme
- **Oscillator MA Type**: Choose SMA or EMA for MACD
- **Signal Line MA Type**: Choose SMA or EMA for signal
#### Histogram Divergence Settings
- **Show Histogram Divergence**: Enable histogram divergence detection
- **Price Reference**: Wicks or Bodies for price comparison
- **Right/Left Lookback**: Pivot detection parameters
- **Max/Min Range**: Distance constraints between pivots
- **Show Regular Divergence**: Display histogram divergence lines
- **Show Labels**: Display histogram divergence labels
- **Require Same Sign**: Enforce histogram sign consistency
#### MACD Line Divergence Settings
- **Show MACD Line Divergence**: Enable MACD line divergence detection
- **Price Reference**: Wicks or Bodies for price comparison
- **Right/Left Lookback**: Pivot detection parameters
- **Max/Min Range**: Distance constraints between pivots
- **Show Regular Divergence**: Display MACD line divergence lines
- **Show Labels**: Display MACD line divergence labels
### How to Use
#### For Basic Trend Following
1. **Enable Core Components**
- MACD line, signal line, and histogram
- Enable cross markers
2. **Identify Trend**
- MACD above zero = Uptrend
- MACD below zero = Downtrend
3. **Watch for Crossovers**
- Golden cross (MACD crosses above signal) = Buy signal
- Death cross (MACD crosses below signal) = Sell signal
4. **Confirm with Histogram**
- Increasing histogram = Strengthening trend
- Decreasing histogram = Weakening trend
#### For Divergence Trading
1. **Enable Both Divergence Systems**
- Histogram divergence (early signals)
- MACD line divergence (confirmation)
2. **Wait for Divergence Signals**
- "H涨" or "H跌" = Early warning
- "M涨" or "M跌" = Confirmation
3. **Best Divergences**
- Both histogram AND MACD line showing divergence
- Divergence at key support/resistance levels
- Multiple divergences on same trend
4. **Entry Timing**
- Wait for price structure break
- Enter on pullback after confirmation
- Use MACD crossover as trigger
#### For Multi-Timeframe Analysis
1. **Set Higher Timeframe**
- Example: 4H MACD on 1H chart
- Uncheck "Use Current Chart Period"
- Select desired timeframe
2. **Identify Higher TF Trend**
- MACD position relative to zero
- MACD vs signal line relationship
3. **Trade with HTF Direction**
- Only take long signals if HTF MACD bullish
- Only take short signals if HTF MACD bearish
4. **Use Current TF for Entries**
- Higher TF for bias
- Current TF for precise timing
#### For Histogram Analysis
1. **Enable 4-Color Histogram**
- Watch color transitions
- Dark colors = Strong momentum
- Light colors = Weakening momentum
2. **Momentum Stages**
- Dark green → Light green = Bullish losing steam
- Light red → Dark red = Bearish gaining strength
3. **Trade Transitions**
- Light green to light red = Momentum shift (potential reversal)
- Entry on confirmation crossover
### Trading Strategies
#### Strategy 1: Classic MACD Crossover
**Setup:**
- Standard settings (13/34/9)
- Enable MACD, signal line, and cross markers
- Clear trend on higher timeframe
**Entry:**
- **Long**: Golden cross (circle marker) above zero line
- **Short**: Death cross (circle marker) below zero line
**Confirmation:**
- Histogram color supporting direction
- Volume increase helps
**Stop Loss:**
- Below recent swing low (long)
- Above recent swing high (short)
**Exit:**
- Opposite crossover
- MACD crosses zero line against position
**Best For:** Trend following, clear trending markets
#### Strategy 2: Zero Line Bounce
**Setup:**
- Enable all components
- Established trend (MACD staying one side of zero)
- Wait for pullback to zero line
**Entry:**
- **Long**: MACD touches zero from above, bounces up with golden cross
- **Short**: MACD touches zero from below, bounces down with death cross
**Confirmation:**
- Histogram color change
- Price at support/resistance
**Stop Loss:**
- Just beyond zero line (opposite side)
**Exit:**
- Target previous extreme
- Or opposite crossover
**Best For:** Trend continuation, strong markets
#### Strategy 3: Dual Divergence Confirmation
**Setup:**
- Enable both histogram and MACD line divergences
- Price at extreme (high/low)
- Wait for divergence signals
**Entry:**
- **Long**: Both "H涨" AND "M涨" labels appear
- **Short**: Both "H跌" AND "M跌" labels appear
**Confirmation:**
- Price breaks structure
- Volume increase
- Golden/death cross confirms
**Stop Loss:**
- Beyond divergence pivot point
**Exit:**
- MACD crosses zero line
- Or opposite divergence appears
**Best For:** Reversal trading, swing trading
#### Strategy 4: Histogram Color Transition
**Setup:**
- Enable 4-color histogram
- Focus on color changes
- Price in trend
**Entry:**
- **Long**: Light red → Light green transition + golden cross
- **Short**: Light green → Light red transition + death cross
**Rationale:**
- Light colors show momentum exhaustion
- Color flip = momentum shift
- Early entry before full trend reversal
**Stop Loss:**
- Recent swing point
**Exit:**
- Histogram color turns light against position
- Or at predetermined target
**Best For:** Scalping, day trading, early entries
#### Strategy 5: Multi-Timeframe Momentum
**Setup:**
- Display higher timeframe MACD (e.g., 4H on 1H chart)
- Current chart shows current momentum
- Higher TF shows overall bias
**Entry:**
- **Long**: HTF MACD above zero + current TF golden cross
- **Short**: HTF MACD below zero + current TF death cross
**Confirmation:**
- HTF histogram supporting direction
- Both timeframes aligned
**Stop Loss:**
- Based on current timeframe structure
**Exit:**
- Current TF opposite crossover
- Or HTF MACD momentum weakens
**Best For:** Swing trading, high-probability setups
#### Strategy 6: Histogram-Only Divergence Scout
**Setup:**
- Enable only histogram divergence
- Use "same sign requirement"
- Focus on early signals
**Entry:**
- **Long**: "H涨" label + price at support
- **Short**: "H跌" label + price at resistance
**Confirmation:**
- Wait for MACD/signal crossover
- Or price structure break
**Advantage:**
- Earliest divergence signals
- Get in before crowd
**Risk:**
- More false signals than MACD line divergence
- Requires strict confirmation
**Stop Loss:**
- Tight stop beyond entry bar
**Exit:**
- Quick targets (30-50% of expected move)
- Or trail stop
**Best For:** Active traders, scalpers seeking early entries
### Best Practices
#### MACD Period Selection
**Standard (13/34/9)** - Default
- Balanced for most markets
- Good for day trading and swing trading
- Widely used, works with general market psychology
**Faster (8/21/5 or 12/26/9)**
- More responsive
- More signals, more noise
- Best for: Scalping, volatile markets
- Risk: More false signals
**Slower (21/55/13)**
- Smoother signals
- Fewer but stronger signals
- Best for: Swing trading, position trading
- Benefit: Higher reliability
#### Histogram vs MACD Line Divergences
**Histogram Divergence:**
- ✅ Earlier signals
- ✅ Catch moves before others
- ❌ More false signals
- ❌ Requires confirmation
- **Best for**: Active traders, scalpers
**MACD Line Divergence:**
- ✅ More reliable
- ✅ Stronger divergences
- ❌ Later signals
- ❌ May miss early moves
- **Best for**: Swing traders, conservative traders
**Both Together:**
- ✅ Maximum confidence
- ✅ Histogram for alert, MACD for confirmation
- ✅ Highest probability setups
- **Best for**: All traders seeking quality over quantity
#### Same Sign Requirement Feature
**Enabled (Recommended):**
- Filters low-quality divergences
- Top divergence: Both histogram points positive
- Bottom divergence: Both histogram points negative
- Results in fewer but more reliable signals
**Disabled:**
- More divergence signals
- Includes zero-line crossing divergences
- Higher false signal rate
- Only for experienced traders
#### Price Reference: Wicks vs Bodies
**Wicks (Default):**
- Uses high/low prices
- Catches all extremes
- More divergences detected
- Best for: Most trading styles
**Bodies:**
- Uses open/close prices
- Filters out spike movements
- Fewer but cleaner divergences
- Best for: Noisy markets, crypto
#### Visual Settings Recommendations
**For Beginners:**
- Enable: MACD line, signal line, histogram
- Enable: Cross markers
- Enable: Histogram colors
- Disable: Both divergence systems initially
- Focus: Learn basic crossovers first
**For Intermediate:**
- All basic components
- Add: Histogram divergence only
- Use: Same sign requirement
- Focus: Early reversal signals
**For Advanced:**
- All components
- Both divergence systems
- Custom parameters per market
- Multi-timeframe analysis
- Focus: High-probability confluence setups
### Indicator Combinations
**With Moving Averages (EMAs):**
- EMAs (21/55/144) show trend
- MACD shows momentum
- Enter when both align
- Exit when MACD turns first
**With RSI:**
- RSI for overbought/oversold
- MACD for momentum confirmation
- Divergence on both = Extremely strong signal
- RSI + MACD divergence = High probability trade
**With Volume:**
- Volume confirms MACD signals
- Crossover + volume spike = Valid breakout
- Divergence + volume divergence = Strong reversal
**With Support/Resistance:**
- S/R levels for entry/exit targets
- MACD divergence at levels = Highest probability
- MACD crossover at level = Strong confirmation
**With Bias Indicator:**
- Bias shows price deviation from EMA
- MACD shows momentum
- Both diverging = Powerful reversal signal
- Bias extreme + MACD divergence = High conviction trade
**With OBV:**
- OBV shows volume trend
- MACD shows price momentum
- OBV + MACD divergence = Volume not supporting price
- Strong reversal indication
**With KSI (RSI/CCI):**
- KSI for oscillator extremes
- MACD for momentum direction
- KSI extreme + MACD divergence = Reversal likely
- All aligned = Maximum confidence
### Common MACD Patterns
1. **Bullish Cross Above Zero**: Strong uptrend continuation signal
2. **Bearish Cross Below Zero**: Strong downtrend continuation signal
3. **Zero Line Rejection**: Price respects zero as support/resistance
4. **Histogram Peak**: Momentum climax, watch for reversal
5. **Double Divergence**: Two divergences without reversal = Very strong signal when it finally reverses
6. **Histogram Convergence**: Histogram narrowing = Trend losing steam
7. **Signal Line Hug**: MACD stays close to signal = Consolidation, expect breakout
### Performance Tips
- Start with default settings (13/34/9 EMA/EMA)
- Test one divergence system at a time
- Use same sign requirement initially
- Enable cross markers for clear signals
- Adjust lookback parameters per market volatility
- Higher timeframe MACD more reliable than lower
- Combine histogram early signal with MACD line confirmation
- Don't trade every divergence - wait for best setups
### Alert Conditions
While not explicitly coded, you can set custom alerts on:
- MACD crossing above/below signal line
- MACD crossing above/below zero line
- Histogram crossing zero
- When divergence labels appear (using visual alerts)
---
## 中文说明文档
### 概述
Scout Regiment - MACD 是移动平均线收敛发散指标的高级实现版本，具有增强功能，包括双重背离检测（直方图和MACD线）、可自定义的移动平均类型、多时间框架分析和复杂的视觉元素。该指标为交易者提供全面的动量分析和高概率反转信号。
### 什么是MACD？
MACD（移动平均线收敛发散）是一个趋势跟随动量指标，显示两条移动平均线之间的关系：
- **MACD线**：快速和慢速EMA之间的差值
- **信号线**：MACD线的移动平均
- **直方图**：MACD线和信号线之间的差值
- **用途**：识别趋势方向、动量强度和潜在反转
### 核心功能
#### 1. **增强的MACD显示**
**三个核心组件：**
**MACD线**（默认：蓝色/橙色，2像素）
- 快速EMA（13）减去慢速EMA（34）
- 显示动量方向
- 根据相对于信号线的位置改变颜色：
- 蓝色：信号线上方（看涨）
- 橙色：信号线下方（看跌）
- 可开关显示
**信号线**（默认：白色/蓝色带透明度，2像素）
- MACD线的EMA（9）
- 作为交叉信号的触发线
- 颜色根据设置变化
- 识别进出场点的关键
**直方图**（默认：4色渐变，4像素柱）
- MACD和信号线之间的差值
- 动量强度的视觉表示
- 高级4色方案：
- **深绿色（#26A69A）**：正值且增加（强劲看涨）
- **浅绿色（#B2DFDB）**：正值但减少（看涨减弱）
- **深红色（#FF5252）**：负值且减少（强劲看跌）
- **浅红色（#FFCDD2）**：负值但增加（看跌减弱）
- 直方图讲述动量变化的"故事"
#### 2. **可自定义的移动平均类型**
**振荡器MA类型**（MACD线计算）：
- **EMA**（指数）- 默认，反应更快
- **SMA**（简单）- 更平滑，反应较慢
**信号线MA类型**：
- **EMA**（指数）- 默认，更快信号
- **SMA**（简单）- 更慢，假信号更少
**灵活性**：混合搭配以适应不同交易风格
- EMA/EMA：最灵敏（日内交易）
- SMA/SMA：最平滑（波段交易）
- EMA/SMA或SMA/EMA：平衡方法
#### 3. **多时间框架功能**
**当前图表周期**（默认：启用）
- 自动使用当前时间框架
- 大多数交易者的最简单选项
**自定义时间框架选择**
- 在任何时间框架上计算MACD
- 在低时间框架图表上显示高时间框架MACD
- 示例：在15分钟图上查看1小时MACD
- **使用场景**：使低时间框架交易与高时间框架动量保持一致
#### 4. **视觉增强功能**
**金叉/死叉标记**
- 圆点标记交叉点
- 颜色与MACD线颜色匹配
- 清晰识别进出场信号
- 可开关
**零线**（白色，2像素实线）
- 正负动量的参考
- 趋势识别的关键水平
- MACD在零线上方 = 看涨偏向
- MACD在零线下方 = 看跌偏向
**颜色转换**
- MACD线在信号线交叉处改变颜色
- 直方图显示动量加速/减速
- 提供趋势变化的早期警告
#### 5. **双重背离检测系统**
该指标具有两个独立的背离检测系统：
**A. 直方图背离检测**
- **用途**：更早的背离信号（最敏感）
- **检测**：常规看涨和看跌背离
- **标签**："H涨"（直方图上涨）、"H跌"（直方图下跌）
- **特殊功能**：同符号要求选项
- 顶背离：两个直方图点都必须为正
- 底背离：两个直方图点都必须为负
- 过滤不太可靠的背离
**B. MACD线背离检测**
- **用途**：更强、更可靠的背离
- **检测**：常规看涨和看跌背离
- **标签**："M涨"（MACD上涨）、"M跌"（MACD下跌）
- **用途**：确认直方图背离或独立使用
**背离类型说明：**
**常规看涨背离（黄色）**
- **价格**：更低的低点
- **指标**：更高的低点（直方图或MACD线）
- **信号**：潜在向上反转
- **最佳**：在支撑水平附近、超卖状况
- **入场**：价格突破近期阻力后
**常规看跌背离（蓝色）**
- **价格**：更高的高点
- **指标**：更低的高点（直方图或MACD线）
- **信号**：潜在向下反转
- **最佳**：在阻力水平附近、超买状况
- **入场**：价格跌破近期支撑后
#### 6. **高级背离参数**
**直方图背离设置：**
- **价格参考**：影线（默认）或实体
- **右侧回溯**：枢轴点右侧K线数（默认：2）
- **左侧回溯**：枢轴点左侧K线数（默认：5）
- **最大范围**：背离之间最大K线数（默认：60）
- **最小范围**：背离之间最小K线数（默认：5）
- **同符号要求**：确保两个直方图点符号相同
- **显示常规背离**：切换显示
- **显示标签**：切换背离标签
**MACD线背离设置：**
- **价格参考**：影线（默认）或实体
- **右侧回溯**：枢轴点右侧K线数（默认：1）
- **左侧回溯**：枢轴点左侧K线数（默认：5）
- **最大范围**：背离之间最大K线数（默认：60）
- **最小范围**：背离之间最小K线数（默认：5）
- **显示常规背离**：切换显示
- **显示标签**：切换背离标签
**独立控制**：分别调整直方图和MACD线背离
### 配置设置
#### MACD基础设置
- **快速EMA周期**：快速移动平均长度（默认：13）
- **慢速EMA周期**：慢速移动平均长度（默认：34）
- **信号线周期**：信号线长度（默认：9）
- **使用当前图表周期**：自动调整到当前时间框架
- **选择周期**：选择自定义时间框架
- **显示MACD线和信号线**：切换线条显示
- **显示金叉死叉圆点标记**：切换金叉/死叉圆点
- **显示直方图**：切换直方图显示
- **显示穿越变化MACD线**：启用MACD线颜色变化
- **显示直方图颜色**：启用4色直方图方案
- **振荡器MA类型**：为MACD选择SMA或EMA
- **信号线MA类型**：为信号线选择SMA或EMA
#### 直方图背离设置
- **显示直方图背离信号**：启用直方图背离检测
- **价格参考**：影线或实体用于价格比较
- **右侧/左侧回溯**：枢轴检测参数
- **最大/最小范围**：枢轴之间的距离约束
- **显示直方图常规背离**：显示直方图背离线
- **显示直方图常规背离标签**：显示直方图背离标签
- **要求背离点柱状图同符号**：强制直方图符号一致性
#### MACD线背离设置
- **显示MACD线背离信号**：启用MACD线背离检测
- **价格参考**：影线或实体用于价格比较
- **右侧/左侧回溯**：枢轴检测参数
- **最大/最小范围**：枢轴之间的距离约束
- **显示线常规背离**：显示MACD线背离线
- **显示线常规背离标签**：显示MACD线背离标签
### 使用方法
#### 基础趋势跟随
1. **启用核心组件**
- MACD线、信号线和直方图
- 启用交叉标记
2. **识别趋势**
- MACD在零线上方 = 上升趋势
- MACD在零线下方 = 下降趋势
3. **观察交叉**
- 金叉（MACD向上穿越信号线）= 买入信号
- 死叉（MACD向下穿越信号线）= 卖出信号
4. **用直方图确认**
- 直方图增加 = 趋势加强
- 直方图减少 = 趋势减弱
#### 背离交易
1. **启用两个背离系统**
- 直方图背离（早期信号）
- MACD线背离（确认）
2. **等待背离信号**
- "H涨"或"H跌" = 早期警告
- "M涨"或"M跌" = 确认
3. **最佳背离**
- 直方图和MACD线都显示背离
- 在关键支撑/阻力水平的背离
- 同一趋势上多个背离
4. **入场时机**
- 等待价格结构突破
- 确认后回调时进入
- 使用MACD交叉作为触发
#### 多时间框架分析
1. **设置更高时间框架**
- 示例：在1小时图上显示4小时MACD
- 取消勾选"使用当前图表周期"
- 选择所需时间框架
2. **识别更高TF趋势**
- MACD相对于零线的位置
- MACD与信号线的关系
3. **顺HTF方向交易**
- 仅在HTF MACD看涨时接受多头信号
- 仅在HTF MACD看跌时接受空头信号
4. **使用当前TF入场**
- 更高TF确定偏向
- 当前TF精确定时
#### 直方图分析
1. **启用4色直方图**
- 观察颜色转换
- 深色 = 强动量
- 浅色 = 动量减弱
2. **动量阶段**
- 深绿色→浅绿色 = 看涨失去动力
- 浅红色→深红色 = 看跌获得力量
3. **交易转换**
- 浅绿色到浅红色 = 动量转变（潜在反转）
- 确认交叉时入场
### 交易策略
#### 策略1：经典MACD交叉
**设置：**
- 标准设置（13/34/9）
- 启用MACD、信号线和交叉标记
- 更高时间框架明确趋势
**入场：**
- **多头**：零线上方金叉（圆点标记）
- **空头**：零线下方死叉（圆点标记）
**确认：**
- 直方图颜色支持方向
- 成交量增加有帮助
**止损：**
- 近期波动低点之下（多头）
- 近期波动高点之上（空头）
**离场：**
- 相反交叉
- MACD反向穿越零线
**适合：**趋势跟随、明确趋势市场
#### 策略2：零线反弹
**设置：**
- 启用所有组件
- 已建立趋势（MACD保持在零线一侧）
- 等待回调至零线
**入场：**
- **多头**：MACD从上方触及零线，向上反弹并金叉
- **空头**：MACD从下方触及零线，向下反弹并死叉
**确认：**
- 直方图颜色变化
- 价格在支撑/阻力位
**止损：**
- 零线对面一侧
**离场：**
- 目标前一极值
- 或相反交叉
**适合：**趋势延续、强势市场
#### 策略3：双重背离确认
**设置：**
- 启用直方图和MACD线背离
- 价格在极值（高点/低点）
- 等待背离信号
**入场：**
- **多头**："H涨"和"M涨"标签都出现
- **空头**："H跌"和"M跌"标签都出现
**确认：**
- 价格突破结构
- 成交量增加
- 金叉/死叉确认
**止损：**
- 背离枢轴点之外
**离场：**
- MACD穿越零线
- 或出现相反背离
**适合：**反转交易、波段交易
#### 策略4：直方图颜色转换
**设置：**
- 启用4色直方图
- 关注颜色变化
- 价格处于趋势
**入场：**
- **多头**：浅红色→浅绿色转换 + 金叉
- **空头**：浅绿色→浅红色转换 + 死叉
**原理：**
- 浅色显示动量衰竭
- 颜色翻转 = 动量转变
- 完全趋势反转前的早期入场
**止损：**
- 近期波动点
**离场：**
- 直方图颜色变为反向浅色
- 或预定目标
**适合：**剥头皮、日内交易、早期入场
#### 策略5：多时间框架动量
**设置：**
- 显示更高时间框架MACD（例如，在1小时图上显示4小时）
- 当前图表显示当前动量
- 更高TF显示整体偏向
**入场：**
- **多头**：HTF MACD在零线上方 + 当前TF金叉
- **空头**：HTF MACD在零线下方 + 当前TF死叉
**确认：**
- HTF直方图支持方向
- 两个时间框架对齐
**止损：**
- 基于当前时间框架结构
**离场：**
- 当前TF相反交叉
- 或HTF MACD动量减弱
**适合：**波段交易、高概率设置
#### 策略6：仅直方图背离侦察
**设置：**
- 仅启用直方图背离
- 使用"同符号要求"
- 关注早期信号
**入场：**
- **多头**："H涨"标签 + 价格在支撑位
- **空头**："H跌"标签 + 价格在阻力位
**确认：**
- 等待MACD/信号线交叉
- 或价格结构突破
**优势：**
- 最早的背离信号
- 在大众之前进入
**风险：**
- 比MACD线背离假信号更多
- 需要严格确认
**止损：**
- 入场K线之外紧密止损
**离场：**
- 快速目标（预期波动的30-50%）
- 或移动止损
**适合：**活跃交易者、寻求早期入场的剥头皮交易者
### 最佳实践
#### MACD周期选择
**标准（13/34/9）** - 默认
- 大多数市场的平衡
- 适合日内交易和波段交易
- 广泛使用，符合一般市场心理
**更快（8/21/5或12/26/9）**
- 更灵敏
- 更多信号，更多噪音
- 最适合：剥头皮、波动市场
- 风险：更多假信号
**更慢（21/55/13）**
- 更平滑的信号
- 信号较少但更强
- 最适合：波段交易、仓位交易
- 优势：更高可靠性
#### 直方图vs MACD线背离
**直方图背离：**
- ✅ 更早信号
- ✅ 在其他人之前捕捉波动
- ❌ 更多假信号
- ❌ 需要确认
- **最适合**：活跃交易者、剥头皮交易者
**MACD线背离：**
- ✅ 更可靠
- ✅ 更强的背离
- ❌ 信号较晚
- ❌ 可能错过早期波动
- **最适合**：波段交易者、保守交易者
**两者结合：**
- ✅ 最大信心
- ✅ 直方图警报，MACD确认
- ✅ 最高概率设置
- **最适合**：所有寻求质量而非数量的交易者
#### 同符号要求功能
**启用（推荐）：**
- 过滤低质量背离
- 顶背离：两个直方图点都为正
- 底背离：两个直方图点都为负
- 产生更少但更可靠的信号
**禁用：**
- 更多背离信号
- 包括零线穿越背离
- 假信号率更高
- 仅适合有经验的交易者
#### 价格参考：影线vs实体
**影线（默认）：**
- 使用最高/最低价
- 捕捉所有极值
- 检测到更多背离
- 最适合：大多数交易风格
**实体：**
- 使用开盘/收盘价
- 过滤突刺波动
- 背离更少但更干净
- 最适合：噪音市场、加密货币
#### 视觉设置建议
**新手：**
- 启用：MACD线、信号线、直方图
- 启用：交叉标记
- 启用：直方图颜色
- 禁用：初始禁用两个背离系统
- 重点：先学习基本交叉
**中级：**
- 所有基本组件
- 添加：仅直方图背离
- 使用：同符号要求
- 重点：早期反转信号
**高级：**
- 所有组件
- 两个背离系统
- 每个市场自定义参数
- 多时间框架分析
- 重点：高概率汇合设置
### 指标组合
**与移动平均线（EMA）配合：**
- EMA（21/55/144）显示趋势
- MACD显示动量
- 两者一致时进入
- MACD先转向时退出
**与RSI配合：**
- RSI用于超买超卖
- MACD用于动量确认
- 两者都背离 = 极强信号
- RSI + MACD背离 = 高概率交易
**与成交量配合：**
- 成交量确认MACD信号
- 交叉 + 成交量激增 = 有效突破
- 背离 + 成交量背离 = 强反转
**与支撑/阻力配合：**
- 支撑阻力水平用于进出目标
- 水平处的MACD背离 = 最高概率
- 水平处的MACD交叉 = 强确认
**与Bias指标配合：**
- Bias显示价格相对EMA的偏离
- MACD显示动量
- 两者都背离 = 强大反转信号
- Bias极值 + MACD背离 = 高信念交易
**与OBV配合：**
- OBV显示成交量趋势
- MACD显示价格动量
- OBV + MACD背离 = 成交量不支持价格
- 强反转迹象
**与KSI（RSI/CCI）配合：**
- KSI用于振荡器极值
- MACD用于动量方向
- KSI极值 + MACD背离 = 可能反转
- 全部对齐 = 最大信心
### 常见MACD形态
1. **零线上方看涨交叉**：强上升趋势延续信号
2. **零线下方看跌交叉**：强下降趋势延续信号
3. **零线拒绝**：价格将零线作为支撑/阻力
4. **直方图峰值**：动量高潮，注意反转
5. **双重背离**：两次背离未反转 = 最终反转时非常强
6. **直方图收敛**：直方图变窄 = 趋势失去动力
7. **信号线紧贴**：MACD紧贴信号线 = 盘整，预期突破
### 性能提示
- 从默认设置开始（13/34/9 EMA/EMA）
- 一次测试一个背离系统
- 初始使用同符号要求
- 启用交叉标记以获得清晰信号
- 根据市场波动性调整回溯参数
- 更高时间框架MACD比更低的更可靠
- 结合直方图早期信号与MACD线确认
- 不要交易每个背离 - 等待最佳设置
### 警报条件
虽然没有明确编码，但您可以设置自定义警报：
- MACD向上/向下穿越信号线
- MACD向上/向下穿越零线
- 直方图穿越零线
- 背离标签出现时（使用视觉警报）
---
## Technical Support
For questions or issues, please refer to the TradingView community or contact the indicator creator.
## 技术支持
如有问题，请参考TradingView社区或联系指标创建者。
Session SFPThis script is a powerful, multi-timeframe tool designed to identify high-probability Swing Failure Patterns (SFPs) at key historical levels.
Instead of looking for traditional "pivots" (like a 3-bar swing), this indicator finds the actual high and low of a previous higher-timeframe (HTF) bar (e.g., the previous weekly high/low) and waits for a lower-timeframe (LTF) candle to sweep that level and fail.
This allows you to spot liquidity sweeps and potential reversals at significant, structural price points.
How It Works
The indicator's logic is based on a simple, two-timeframe process:
Level Detection: First, it finds the high and low of the previous bar on your chosen "Level Timeframe" (e.g., W for Weekly, D for Daily). It plots these as small 'x' markers on your chart.
SFP Identification: Second, it watches price action on a lower "SFP Timeframe" (e.g., 240 for 4H). A potential SFP is identified when a candle's wick sweeps above a key high or below a key low.
Confirmation: The SFP is only confirmed after the SFP candle closes back below the high (for a bearish SFP) or above the low (for a bullish SFP). It then waits for a set number of "Confirmation Bars" to pass. If price does not close back over the level during this window, the signal is locked in, and a label is printed.
How to Use (Key Settings)
Level Timeframe (Most Important): This is the timeframe for the levels you want to trade. Set this to W to find SFPs of the previous weekly high/low. Set it to D to find SFPs of the previous daily high/low.
SFP Timeframe: This is the timeframe you want to use to find the SFP candle itself. This should be lower than your Level Timeframe (e.g., 240 or 60).
Level Lookback: This controls how many old levels the script will track. A value of 10 on a W Level Timeframe will track the highs and lows of the last 10 weeks.
Confirmation Bars: This is your "patience" filter. It's the number of SFP Timeframe bars that must close without reclaiming the level after the SFP. A value of 0 will confirm the SFP immediately on the candle's close.
Enable Wick % Filter: A quality filter. If checked, this ensures the SFP candle's rejection wick is a significant percentage of the candle's total range.
Chart Visuals
'x' Markers: These are the historical highs and lows from your "Level Timeframe". You can turn these on or off in the settings.
SFP Label: When an SFP is fully confirmed, a label (Bearish SFP or Bullish SFP) will appear, detailing the level that was swept and the timeframes used.
SFP Line: A solid horizontal line is drawn from the 'x' marker to the SFP candle to highlight the sweep.
Colored Boxes (Optional): If you are viewing a chart timeframe lower than your "SFP Timeframe", you can enable background boxes to highlight the exact SFP candle and its confirmation bars.
GTI BGTI: RSI Suite (Standard • Stochastic • Smoothed)
A three-layer momentum and trend toolkit that combines Standard RSI, Stochastic RSI, and a Smoothed/“Macro” RSI to help you read intraday swings, trend transitions, and high-probability reversal/continuation spots.
All in one pane with intuitive coloring and optional divergence markers and alerts.
Why this works
* Stochastic RSI (K/D) visualizes fast momentum swings and timing.
* Standard RSI moves more gradually, helping confirm trend transitions that may span several Stochastic cycles.
* Smoothed RSI (Average → Macro) adds a second-pass filter and slope persistence to reveal the macro direction while suppressing noise.
Used together, Stochastic guides entries/exits around local highs/lows, while the RSI layers improve confidence when a small swing is likely part of a larger turn.
What you’ll see
* Standard RSI (yellow; pink above Bull line, aqua below Bear line).
* Stochastic RSI (K/D) with contextual colors:
* Greens when RSI is weak/oversold (bearish conditions → watch for bullish reversals/continuations).
* Reds when RSI is strong/overbought (bullish conditions → watch for bearish reversals/continuations).
* Smoothed (Macro) RSI with trend color:
* Red when macro is ascending (bullish),
* Aqua when macro is descending (bearish).
* Divergences (optional markers):
* Bearish: RSI Lower High + Price Higher High (red ⬇).
* Bullish: RSI Higher Low + Price Lower Low (green ⬆).
* No repaint: pivots confirm after the chosen right-bars window.
How to use it
* Bullish Reversal
* Macro RSI is reversing at a higher low after price has been in a overall downtrend
* Stochastic RSI is switching from green to red in an overall downtrend
* Bullish Oversold
* Macro RSI is reversing from a significantly low level after price has a short but strong dip during an overall uptrend
* Stochastic RSI is switching from green to red in an overall uptrend
* Bullish Continuation
* Macro RSI is ascending with a strong slope or forming a higher low above the 50 line
* Stochastic RSI is reaching a bottom but still painted red
* Bearish Reversal
* Macro RSI is reversing at a lower high after price has been in a overall uptrend
* Stochastic RSI is switching from red to green in an overall uptrend
* Bearish Overbought
* Macro RSI is reversing from a significantly high level after price has a short but strong jump during an overall downtrend
* Stochastic RSI is switching from red to green in an overall downtrend
* Bearish Continuation
* Macro RSI is descending with a strong slope or forming a lower high below the 50 line
* Stochastic RSI is reaching a top but still painted green
* Divergences: Use as signals of exhaustion—best when aligned with Macro RSI color/slope and key levels (e.g., Bull/Bear lines, 50 midline).
*** IMPORTANT ***
* Stack confluence, don’t single-signal trade. Look for:
* 1) Macro RSI color & slope (red = ascending/bullish, aqua = descending/bearish)
* 2) Standard RSI location (above/below Bull/Bear lines or 50)
* 3) Stoch flip + direction
* 4) Price structure (HH/HL vs LH/LL)
* 5) Divergence type (regular vs hidden) at meaningful levels
* Trade with the macro
* Prioritize longs when Macro RSI is red or just flipped up
* Prioritize shorts when Macro RSI is aqua or just flipped down
* Counter-trend setups = smaller size and faster management.
* Location > signal
* The same crossover/divergence is higher quality near Bull (~60)/Bear(~40) or extremes than in the mid-range chop around 50.
* Early vs confirmed
* Use the early pivot heads-up for anticipation, but scale in only after the confirmed pivot (right-bars complete). If early signal fails to confirm, stand down.
* Define invalidation upfront
* For divergence entries, place stops beyond the pivot extreme (LL/HH). If Macro RSI flips against your trade or RSI breaks back through 50 with slope, exit or tighten.
* Multi-timeframe alignment
* Best results come when entry timeframe (e.g., 1H) aligns with higher-TF macro (e.g., 4H/D). If they disagree, treat it as mean-reversion only.
* Avoid common traps
* Skip: isolated Stochastic flips without RSI support, divergences without price HH/LL confirmation, and serial divergences when Macro RSI slope is strong against the idea.
* Parameter guidance
* Start with defaults; then tune: confirmBars 3–7, minSlope 0.05–0.15 RSI pts/bar, pivot left/right tighter for faster but noisier signals, wider for cleaner but fewer.
* Alerts = workflow, not auto-trades
* Use Macro Flip + Divergence alerts as a checklist trigger; enter only when your confluence rules are met and risk is defined.
Key inputs (tweak to your market/timeframe)
* RSI / Stochastic lengths and K/D smoothing.
* Bull / Bear Lines (default 61.1 / 43.6).
* Average RSI Method/Length (SMA/EMA/RMA/WMA) + Macro Smooth Length.
* Trend confirmation: bars of persistence and minimum slope to reduce flip noise.
* Pivot look-back (left/right) for divergence confirmation strictness.
Alerts included
* Macro Flip Up / Down (Smoothed RSI regime change).
* RSI Bullish/Bearish Divergence (confirmed at pivot).
* Stochastic RSI continuation/divergence (optional).
Tips
* Level + Slope matter. High/low RSI level flags conditions; slope confirms impulse/continuation.
* Let Stochastic time the swing; let Macro RSI filter the trend.
* Tighten or loosen pivot windows to trade fewer/cleaner vs. more/faster signals.
