MACD + Colors + Signals
Standard MACD with signal and histogram
MACD and signal crossovers are marked with up/down triangles
Signal is colored based on its direction, can be turned to a single color
Histograms can be green, red and yellow based on their side and direction
Histograms can be switch to be green when positive and red when negative
חפש סקריפטים עבור "histogram"
BUY & SELL VOLUME TO PRICE PRESSURE by @XeL_ArjonaBUY & SELL PRICE TO VOLUME PRESSURE
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm" by: Stocks & Commodities V. 21:10 (68-72): "Bull And Bear Balance Indicator by Vadim Gimelfarb"
Normalisation (Filter) from Karthik Marar's VSA work: karthikmarar.blogspot.mx
Buy to Sell Convergence / Divergence and Volume Pressure Counterforce Histogram Ideas by: @XeL_Arjona
WHAT IS THIS?
The following indicators try to acknowledge in a K-I-S-S approach to the eye (Keep-It-Simple-Stupid), the two most important aspects of nearly every trading vehicle: -- PRICE ACTION IN RELATION BY IT'S VOLUME --
Volume Pressure Histogram: Columns plotted in positive are considered the dominant Volume Force for the given period. All "negative" columns represents the counterforce Vol.Press against the dominant.
Buy to Sell Convergence / Divergence: It's a simple adaptation of the popular "Price Percentage Oscillator" or MACD but taking Buying Pressure against Selling Pressure Averages, so given a Positive oscillator reading (>0) represents Bullish dominant Trend and a Negative reading (<0) a Bearish dominant Trend. Histogram is the diff between RAW Volume Pressures Convergence/Divergence minus Normalised ones (Signal) which helps as a confirmation.
Volume bars are by default plotted from RAW Volume Pressure algorithms, but they can be as well filtered with Karthik Marar's approach against a "Total Volume Average" in favor to clean day to day noise like HFT.
ALL NEW IDEAS OR MODIFICATIONS to these indicators are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter: @XeL_Arjona
Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. -- 2015
BUY & SELL VOLUME TO PRICE PRESSURE by @XeL_ArjonaBUY & SELL PRICE TO VOLUME PRESSURE
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm" by: Stocks & Commodities V. 21:10 (68-72): "Bull And Bear Balance Indicator by Vadim Gimelfarb"
Normalisation (Filter) from Karthik Marar's VSA work: karthikmarar.blogspot.mx
Buy to Sell Convergence / Divergence and Volume Pressure Counterforce Histogram Ideas by: @XeL_Arjona
WHAT IS THIS?
The following indicators try to acknowledge in a K-I-S-S approach to the eye (Keep-It-Simple-Stupid), the two most important aspects of nearly every trading vehicle: -- PRICE ACTION IN RELATION BY IT'S VOLUME --
Volume Pressure Histogram: Columns plotted in positive are considered the dominant Volume Force for the given period. All "negative" columns represents the counterforce Vol.Press against the dominant.
Buy to Sell Convergence / Divergence: It's a simple adaptation of the popular "Price Percentage Oscillator" or MACD but taking Buying Pressure against Selling Pressure Averages, so given a Positive oscillator reading (>0) represents Bullish dominant Trend and a Negative reading (<0) a Bearish dominant Trend. Histogram is the diff between RAW Volume Pressures Convergence/Divergence minus Normalised ones (Signal) which helps as a confirmation.
Volume bars are by default plotted from RAW Volume Pressure algorithms, but they can be as well filtered with Karthik Marar's approach against a "Total Volume Average" in favor to clean day to day noise like HFT.
ALL NEW IDEAS OR MODIFICATIONS to these indicators are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter: @XeL_Arjona
Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. -- 2015
BUY & SELL VOLUME PRESSURE by @XeL_ArjonaBUY & SELL PRICE TO VOLUME PRESSURE
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm" by: Stocks & Commodities V. 21:10 (68-72): "Bull And Bear Balance Indicator by Vadim Gimelfarb"
Normalisation (Filter) from Karthik Marar's VSA work: karthikmarar.blogspot.mx
Buy to Sell Convergence / Divergence and Volume Pressure Counterforce Histogram Ideas by: @XeL_Arjona
WHAT IS THIS?
The following indicators try to acknowledge in a K-I-S-S approach to the eye (Keep-It-Simple-Stupid), the two most important aspects of nearly every trading vehicle: -- PRICE ACTION IN RELATION BY IT'S VOLUME --
Volume Pressure Histogram: Columns plotted in positive are considered the dominant Volume Force for the given period. All "negative" columns represents the counterforce Vol.Press against the dominant.
Buy to Sell Convergence / Divergence: It's a simple adaptation of the popular "Price Percentage Oscillator" or MACD but taking Buying Pressure against Selling Pressure Averages, so given a Positive oscillator reading (>0) represents Bullish dominant Trend and a Negative reading (<0) a Bearish dominant Trend. Histogram is the diff between RAW Volume Pressures Convergence/Divergence minus Normalised ones (Signal) which helps as a confirmation.
Volume bars are by default plotted from RAW Volume Pressure algorithms, but they can be as well filtered with Karthik Marar's approach against a "Total Volume Average" in favor to clean day to day noise like HFT.
ALL NEW IDEAS OR MODIFICATIONS to these indicators are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter: @XeL_Arjona
Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. -- 2015
Cycle Forecast + MACD Divergence (Kombi v6 FULL)This indicator merges two powerful analytical models:
🔮 1. Dominant Cycle Forecasting
The script automatically identifies major structural market cycles by detecting significant swing highs and lows.
It then fits a sinusoidal wave (amplitude, phase, and period) to the dominant cycle and projects it into the future.
Features:
Automatically extracts large, dominant cycles (no noise, no small swings)
Smooth sinusoidal historical cycle visualization
Future cycle projection for 1–2 upcoming cycle periods
Dynamic amplitude and phase alignment based on market structure
Helps anticipate cycle tops and bottoms for long-term timing
📉 2. MACD Divergence Detection
Full divergence detection engine using MACD or MACD Histogram.
Detects:
Bullish Divergence
Price ↓ while MACD (or Histogram) ↑
→ Possible trend reversal upward
Bearish Divergence
Price ↑ while MACD (or Histogram) ↓
→ Possible trend reversal downward
Features:
Pivot-based divergence confirmation (no repaint)
Choice of MACD Line or Histogram as divergence source
Labels + connecting divergence lines
Works across all markets and timeframes
⚙️ Smart Auto-Pivot System
The indicator optionally adjusts pivot sensitivity based on timeframe:
Weekly → tighter pivots
Daily → medium pivots
Intraday → wider pivots
Ensures stable, meaningful divergence signals even on higher timeframes.
🎯 Use cases
Identify upcoming cycle highs/lows
Spot major trend reversals early
Improve swing entries with MACD divergences near cycle turns
Combine forecasting with momentum exhaustion
Suitable for crypto, stocks, indices, forex & commodities
🧠 Why this indicator is powerful
This tool blends time-based cycle forecasting with momentum-based divergence signals, giving you a unique perspective of where the market is likely to turn.
Cycles reveal when a move may occur.
Divergences reveal why a move may occur.
Combined, they offer highly effective market timing.
M2 Liquidity Divergence ModelM2 Liquidity Divergence Model
The M2 Liquidity Divergence Model is a macro-aware visualization tool designed to compare shifts in global liquidity (M2) against the performance of a benchmark asset (default: Bitcoin). This script captures liquidity flows across major global economies and highlights whether price action is aligned ("Agreement") or diverging ("Divergence") from macro trends.
🔍 Core Features
M2 Global Liquidity Index (GLI):
Aggregates M2 money supply from major global economies, FX-adjusted, including extended contributors like India, Brazil, and South Africa. The slope of this composite is used to infer macro liquidity trends.
Lag Offset Control:
Allows the M2 signal to lead benchmark asset price by a configurable number of days (Lag Offset), useful for modeling the forward-looking nature of macro flows.
Gradient Macro Context (Background):
Displays a color-gradient background—aqua for expansionary liquidity, fuchsia for contraction—based on the slope and volatility of M2. This contextual backdrop helps users visually anchor price action within macro shifts.
Divergence Histogram (Optional):
Plots a histogram showing dynamic correlation or divergence between the liquidity index and the selected benchmark.
Agreement Mode: M2 and asset are moving together.
Divergence Mode: Highlights break in expected macro-asset alignment.
Adaptive Transparency Scaling:
Histogram and background gradients scale their visual intensity based on statistical deviation to emphasize stronger signals.
Toggle Options:
Show/hide the M2 Liquidity Index line.
Show/hide divergence histogram.
Enable/disable visual offset of M2 to benchmark.
🧠 Suggested Usage
Macro Positioning: Use the background context to align directional trades with macro liquidity flows.
Disagreement as Signal: Use divergence plots to identify when price moves against macro expectations—potential reversal or exhaustion zones.
Time-Based Alignment: Adjust Lag Offset to synchronize M2 signals with asset price behavior across different market conditions.
⚠️ Disclaimer
This indicator is designed for educational and analytical purposes only. It does not constitute financial advice or an investment recommendation. Always conduct your own research and consult a licensed financial advisor before making trading decisions.
Casa_VolumeProfileSessionLibrary "Casa_VolumeProfileSession"
Analyzes price and volume during regular trading hours to provide a session volume profile,
including Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL).
Calculates and displays these levels historically and for the developing session.
Offers customizable visualization options for the Value Area, POC, histogram, and labels.
Uses lower timeframe data for increased accuracy and supports futures sessions.
The number of rows used for the volume profile can be fixed or dynamically calculated based on the session's price range and the instrument's minimum tick increment, providing optimal resolution.
calculateEffectiveRows(configuredRows, dayHigh, dayLow)
Determines the optimal number of rows for the volume profile, either using the configured value or calculating dynamically based on price range and tick size
Parameters:
configuredRows (int) : User-specified number of rows (0 means auto-calculate)
dayHigh (float) : Highest price of the session
dayLow (float) : Lowest price of the session
Returns: The number of rows to use for the volume profile
debug(vp, position)
Helper function to write some information about the supplied SVP object to the screen in a table.
Parameters:
vp (Object) : The SVP object to debug
position (string) : The position.* to place the table. Defaults to position.bottom_center
getLowerTimeframe()
Depending on the timeframe of the chart, determines a lower timeframe to grab volume data from for the analysis
Returns: The timeframe string to fetch volume for
get(volumeProfile, lowerTimeframeHigh, lowerTimeframeLow, lowerTimeframeVolume, lowerTimeframeTime, lowerTimeframeSessionIsMarket)
Populated the provided SessionVolumeProfile object with vp data on the session.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to populate
lowerTimeframeHigh (array) : The lower timeframe high values
lowerTimeframeLow (array) : The lower timeframe low values
lowerTimeframeVolume (array) : The lower timeframe volume values
lowerTimeframeTime (array) : The lower timeframe time values
lowerTimeframeSessionIsMarket (array) : The lower timeframe session.ismarket values (that are futures-friendly)
drawPriorValueAreas(todaySessionVolumeProfile, extendYesterdayOverToday, showLabels, labelSize, pocColor, pocStyle, pocWidth, vahlColor, vahlStyle, vahlWidth, vaColor)
Given a SessionVolumeProfile Object, will render the historical value areas for that object.
Parameters:
todaySessionVolumeProfile (Object) : The SessionVolumeProfile Object to draw
extendYesterdayOverToday (bool) : Defaults to true
showLabels (bool) : Defaults to true
labelSize (string) : Defaults to size.small
pocColor (color) : Defaults to #e500a4
pocStyle (string) : Defaults to line.style_solid
pocWidth (int) : Defaults to 1
vahlColor (color) : The color of the value area high/low lines. Defaults to #1592e6
vahlStyle (string) : The style of the value area high/low lines. Defaults to line.style_solid
vahlWidth (int) : The width of the value area high/low lines. Defaults to 1
vaColor (color) : The color of the value area background. Defaults to #00bbf911)
drawHistogram(volumeProfile, bgColor, showVolumeOnHistogram)
Given a SessionVolumeProfile object, will render the histogram for that object.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to draw
bgColor (color) : The baseline color to use for the histogram. Defaults to #00bbf9
showVolumeOnHistogram (bool) : Show the volume amount on the histogram bars. Defaults to false.
Object
Object Contains all settings and calculated values for a Volume Profile Session analysis
Fields:
numberOfRows (series int) : Number of price levels to divide the range into. If set to 0, auto-calculates based on price range and tick size
valueAreaCoverage (series int) : Percentage of total volume to include in the Value Area (default 70%)
trackDevelopingVa (series bool) : Whether to calculate and display the Value Area as it develops during the session
valueAreaHigh (series float) : Upper boundary of the Value Area - price level containing specified % of volume
pointOfControl (series float) : Price level with the highest volume concentration
valueAreaLow (series float) : Lower boundary of the Value Area
startTime (series int) : Session start time in Unix timestamp format
endTime (series int) : Session end time in Unix timestamp format
dayHigh (series float) : Highest price of the session
dayLow (series float) : Lowest price of the session
step (series float) : Size of each price row (calculated as price range divided by number of rows)
pointOfControlLevel (series int) : Index of the row containing the Point of Control
valueAreaHighLevel (series int) : Index of the row containing the Value Area High
valueAreaLowLevel (series int) : Index of the row containing the Value Area Low
lastTime (series int) : Tracks the most recent timestamp processed
volumeRows (map) : Stores volume data for each price level row (key=row number, value=volume)
ltfSessionHighs (array) : Stores high prices from lower timeframe data
ltfSessionLows (array) : Stores low prices from lower timeframe data
ltfSessionVols (array) : Stores volume data from lower timeframe data
VSA Volume Spread AnalysisVolume Spread Analysis with Trend Direction is an indicator designed to Identify trend based volume spread.
Volume
Spread
Trend
This is a very simple yet powerful to identify Trend and corresponding volume Breakout. Unlike other Volume Indicators this indicator detects Breakout along with trend direction. One can detect the Early breakout in volume using this indicator. The Buy or Sell Signal is based on zero crossing of the Histogram.
Trend direction is confirmed using the MA of the Histogram which is similar to the Volume MA on volume indicator. One can enter a trade using the indicator when Trend direction and histogram are in same direction. Entry is done when ever histogram crosses the Trend MA line.
Fake entries can be eliminated by changing the indicator to higher Timeframe.
Spread is determined using the difference in open and close of the candle
Volume change is determined using the ratio of change of volume to previous volume
EMA 10 is used to determine the Spread and multiplied by volume change so the
PRICE(ema10), Volume, Spread(close-open) are merged to one indicator.
Direction changes when ever difference of VSA is positive or negative.
On Balance Volume DeviationThe objective of this indicator is to be a leading indicator that can detect a large price change before it happens. It is based on the On Balance Volume (OBV) indicator, which is a leading indicator based on the premise that a large change in volume often precedes a large price change. This indicator charts the N-Period deviation of the OBV data and displays it as a histogram. This is overlayed on an area chart of the M-Period SMA of the histogram data. This combination helps to visually enhance the pattern that signifies that a jump in price is about to happen.
Useage:
When the histogram bars are above the area plot, then a jump in price is about to happen
As with all leading indicators, there are a lot of false signals. Confirm with price action or another indicator
The further the histogram bars are above the area plot, the larger the predicted jump in price
It seems to work better on shorter intraday timeframes than on the longer timeframes
At the close of a market session, it is a good indicator of how much the price will jump on the opening of the next market session.
Elder Impulse System + ATR BandsDisregard the above chart, I am not sure why it isn't showing the one I want, which is linked below:
This is as far as I can tell the closest representation to Dr. Alexander Elder's updated "Elder Impulse System" that has added ATR-volatility bands up to 3x deviations from price. I got the idea from watching this recent video (www.youtube.com) of Dr. Elder reviewing some recent trades and noticed he had updated his system from his original books. The Impulse System colour coding was inspired by AstralLoverFlow and LazyBear. ATR Bands are pre-programmed Keltner Channels with some modifications such as filing in the ATR Zones with user-selected colour bands and modifying the ATR value to better suit the volatility of the market being traded.
The script has several components, which I will detail below:
Exponential Moving Averages:
1) A 13-period EMA that is used as a staple in all of Dr. Elder's technical analysis. He uses this EMA as the basis for all of his indicators and why it is included here.
2) A 26-period EMA which can be used as a base-line of sorts to filter when to go long or when to go short. For instance, price over the 26-EMA, price is strong and the rally upwards is likely to continue, underneath it, price is weak and likely to continue downwards for a time.
Volatility Bands:
By definition these are nothing more than 3 separate Keltner Channels of a 13-period EMA each set to one additional multiplier from the moving average. This gives us a 1x, 2x, and 3x multiplier of average volatility from the 13-period EMA based on a 14-period Average True Range (ATR) reading. The ATR was chosen as it accommodates price gaps and also is the standard formula calculation in TradingView. The values of the bands cannot be adjusted but the colour coding of them can be.
Elder Impulse System:
These colour-coded bars show you the strength and direction of the current chart resolution, calculated by the slope of a 13-period EMA and the slope of a MACD histogram. These are used not as a buying or selling recommendation alone but as trend filters, as per Dr. Elder's own description of them.
Green Bars = The 13-period EMA is sloping positively and the MACD histogram is rising compared to previous bars. The trader should only consider buying/long opportunities when a green bar is most recent.
Red Bars = The 13-period EMA is sloping negatively and the MACD histogram is falling compared to previous bars. The trader should only consider selling/short opportunities when a red bar is most recent.
Blue Bars = The 13-period EMA and the MACD histogram are not aligned. One of the indicators is sloping opposite to the other indicator. These are known as indecision bars and are typically seen near the end of a previously established trend. The trader can choose to wait for either a green or red bar to shape their trading bias if they are more risk-averse while a counter-trend trader may decide to try opening a position against the currently-established trend.
How To Trade the System:
This system is unique in that it is so versatile and will fit the styles of many traders, be it trend following traders (generally the original Elder Impulse System design) or mean-reversion/counter-trend trading (the original Keltner Channel design). None of the examples below or in the chart above are financial advice and are just there for demonstration purposes only.
1) The most basic signal given would be the moving average cross up or down. A cross of the 13-EMA over the 26-EMA signals upward trend strength and the trader could look for buying opportunities. Conversely, the 13-EMA under the 26-EMA shows downward trend strength and the trader could look for selling opportunities.
2) Following the Elder Impulse system in conjunction with the EMAs. Look for long opportunities when a green bar is printed and price is over both of the 13- and 26-period EMAs. Look for short opportunities when a red bar is printed and price is below both of the 13- and 26-period EMAs. Keep in mind this does not necessarily need a moving average cross to be viable, a green or red bar over both EMAs is a valid signal in this system, usually. Examine price more closely for better entry signals when a blue bar is printed and price is either above or below both EMAs if you are a trend trader. This is how Dr. Elder originally intended the system to be used in conjunction with his famous Triple Screen Trading System. I am not going into detail here as it is a deep subject but I would suggest an interested trader to examine this Triple Screen System further as it is widely accepted as a strong strategy.
3) Mean Reversion and Counter-Trend Trading. Dr. Elder mentions that the zone between the two EMAs is called the Value Zone. A mean reversion trader could look for buying opportunities if price has generally been in an uptrend and falls back to value, conversely, they could look for shorting opportunities if price has generally been in a downtrend and rises back to value. These are your very basic pull backs found in trends that create your higher lows in an uptrend or your lower highs in a downtrend. A mean reversion/scalper trader may also look to use the upper and lower most ATR bands as an indication of price being overbought or oversold and could look to enter a counter-trend trade here once a blue indecision bar is printed and to ride that move back down to the Value Zone.
Taking Profits and Risk Management
This system again is very versatile and will fit a wide range of trading styles. It has built in take profit levels and risk management depending on your style of trading.
1a) In original Triple Screen Trading (and the original Elder Impulse system), a trader was to place a buy order one tick above a newly printed green bar with a stop loss one tick below the most recent 2-day low, and vice-versa for red bars on short selling. as long as other criteria were met, that I will not go into. It is all over YouTube and in his books and on Investopedia if you want more information. The general idea is to continue the trend in the direction if price is strong and you are bought into that move with a close stop, or if price falls back a little bit, you can get in at a better price. This would be a system typically better suited to a scalper.
1b) The updated risk management according to the above video is to place a stop loss at least 2ATR away from price. These bands already have calculated these values so a trader can place a stop one tick below the 2 or even 3ATR zones depending on their risk appetite. This is assuming you have already received a strong buy signal based on the system you follow. This would be a system typically better suited to a trend-trader.
2a) Taking profits if you are a trend trader has several possibilities. The first, as Dr. Elder suggests, is to place a price target 2ATR values away from your entry giving you approximately a 1:1 risk-reward ratio.
2b) The second possibility if the trade is successful is to ride the trend upwards until a blue bar is printed, suggesting indecision in the market. A modified version of this that could let a winning trade run longer is to wait for the price to close under the 13-EMA in fast markets, or close under the 26-EMA in slightly slower markets to maximize potential winnings.
2c) A scalper trader may wish to have a target at either the value zone if they are playing an extended buy/short back to the mean, or if they are being at the mean, to sell or cover when price extends back out to the 2x or 3x zone.
3) Trend traders can additionally use the ATR zones as a sort of safety guidelines for entering a trade. Anything within the 1ATR zone is typically a safer entry as the market is less volatile at this time. Entering when price has gone into the 2ATR zone is signaled as a strong momentum move and can signal a stronger move in the direction of the current closing bar. While not always the case, it is suggested by Dr. Elder to not enter trend trades at the 3ATR zone as this is where you will be likely looking for a counter-trend retracement back to value and a trader entering here in the direction of the trade has a higher chance of being stopped out or not getting in at the best possible price.
CryptoSignalScanner - MACD Multiple Time FramesDESCRIPTION:
After receiving some multiple request to provide a MACD indicator that displays multiple timeframes at the same time I created this simple script.
You can use this script for free and adjust it as much you like.
With this script you can plot 6 MACD lines & 6 Signal lines.
• Current Timeframe MACD Line
• Current Timeframe Signal Line
• 15 minute candle MACD Line
• 15 minute candle Signal Line
• 30 minute candle MACD Line
• 30 minute candle Signal Line
• 1 hour candle MACD Line
• 1 hour candle Signal Line
• 2 hour candle MACD Line
• 2 hour candle Signal Line
• 4 hour candle MACD Line
• 4 hour candle Signal Line
HOW TO USE:
• When multiple MACD lines on an uptrend are grouped together it is time to SELL.
• When multiple MACD lines on a downtrend are grouped together it is time to BUY.
• The higher to length of the MACD lines the stronger the BUY/SELL signal.
FEATURES:
• You can show/hide the preferred MACD lines.
• You can show/hide the preferred Signal lines.
How MACD works
The MACD indicator is generated by subtracting two exponential moving averages (EMAs) to create the main line (MACD line), which is then used to calculate another EMA that represents the signal line. In addition, there is the MACD histogram, which is calculated based on the differences between those two lines. The histogram, along with the other two lines, fluctuates above and below a center line, which is also known as the zero line.
The MACD indicator consists of three elements moving around the zero line:
• The MACD line. By default the MACD line is calculated by subtracting the 26-day EMA from the 12-day EMA.
MACD line = 12d EMA - 26d EMA
• The signal line. By default the signal line is calculated from a 9-day EMA of the MACD line.
Signal line = 9d EMA of MACD line
• Histogram. The histogram is nothing more than a visual record of the relative movements of the MACD line and the signal line.
It is simply calculated as: MACD line - signal line
REMARKS:
• This advice is NOT financial advice.
• We do not provide personal investment advice and we are not a qualified licensed investment advisor.
• All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice.
• We will not and cannot be held liable for any actions you take as a result of anything you read here.
• We only provide this information to help you make a better decision.
• While the information provided is believed to be accurate, it may include errors or inaccuracies.
Good Luck,
SEOCO
Moving Average EntanglementThis script uses the gap in moving averages standardized to the average true range to determine entry and exit points.
The red line represents the current percentage of ATR that is deemed "The Dead Zone" - a move that is too small to be reliable.
The histogram represents the gap between moving averages. When the histogram is above the red line, it confirms a breakout move.
The dashed line an be used as a secondary filter and is a moving average of the histogram.
When Standard Deviation mode is on, a third line is displayed, which represents how many standard Deviations the current histogram bar represents, and can be also used as a filter.
Ultimate Momentum IndicatorThis is an indicator I've been playing with for a while, based on my previous MACD w/ RSI Warning indicator. This one takes it a step further, including information from MACD, RSI, ADX, and Parabolic SAR. These four indicators are represented in this indicator as follows:
MACD: The histogram itself is a normal MACD histogram. Nothing strange about it, and you can adjust the settings for it just as you would a normal MACD.
RSI: Any time the RSI is outside of normal ranges (which can be adjusted in the settings), the bar on the histogram will turn amber to warn you. The actual RSI value is also shown in a label to the left side of the indicator.
ADX: Crosses are drawn along the 0 line to indicate ADX. Blue means the ADX is below the trending level (adjustable in the settings), and orange means it is above that level. Darker colors indicate the ADX has gone up since the previous bar, while lighter colors indicate it has gone down. The actual ADX value is also shown in the label to the left side of the indicator.
Parabolic SAR: At the outside point of each bar in the histogram, a colored dot is drawn. If the dot is green, the Parabolic SAR (settings adjustable) is currently below the closing price. If the dot is red, the SAR is above the closing price.
I must stress that this indicator is not a replacement for any one of the indicators it includes, as it's really only pulling small bits of information from each. The point of this indicator is to give a cohesive picture of momentum at a quick glance. I encourage you to continue to use the normal versions of whichever of the basic indicators you already use, especially if those indicators are a key part of your strategy. This indicator is designed purely as a way to get a bird's eye view of the momentum.
Pretty much every normally adjustable value can be adjusted in the settings for each of the base indicators. You can also set:
The RSI warning levels (30 and 70 by default)
The ADX Crossover, i.e. the point at which you consider the ADX value to indicate a strong trend (25 by default)
The offset for the label which shows the actual RSI & ADX values (109 by default, which happens to line up with my chart layout--yours will almost certainly need to be different to look clean)
All of the colors, naturally
As always, I am open to suggestions on how I might make the indicator look cleaner, or even other indicators I might try to include in the data this indicator produces. My choice of indicators to base this one from is entirely based on the ones I use and know, but I'm sure there are other great indicators that may improve this combination indicator even more!
Volume Profile Skew [BackQuant]Volume Profile Skew
Overview
Volume Profile Skew is a market-structure indicator that answers a specific question most volume profiles do not:
“Is volume concentrating toward lower prices (accumulation) or higher prices (distribution) inside the current profile range?”
A standard volume profile shows where volume traded, but it does not quantify the shape of that distribution in a single number. This script builds a volume profile over a rolling lookback window, extracts the key profile levels (POC, VAH, VAL, and a volume-weighted mean), then computes the skewness of the volume distribution across price bins. That skewness becomes an oscillator, smoothed into a regime signal and paired with visual profile plotting, key level lines, and historical POC tracking.
This gives you two layers at once:
A full profile and its important levels (where volume is).
A skew metric (how volume is leaning within that range).
What this indicator is based on
The foundation comes from classical “volume at price” concepts used in Market Profile and Volume Profile analysis:
POC (Point of Control): the price level with the highest traded volume.
Value Area (VAH/VAL): the zone containing the bulk of activity, commonly 70% of total volume.
Volume-weighted mean (VWMP in this script): the average price weighted by volume, a “center of mass” for traded activity.
Where this indicator extends the idea is by treating the volume profile as a statistical distribution across price. Once you treat “volume by price bin” as a probability distribution (weights sum to 1), you can compute distribution moments:
Mean: where the mass is centered.
Standard deviation: how spread-out it is.
Skewness: whether the distribution has a heavier tail toward higher or lower prices.
This is not a gimmick. Skewness is a standard statistic in probability theory. Here it is applied to “volume concentration across price”, not to returns.
Core concept: what “skew” means in a volume profile
Imagine a profile range from Low to High, split into bins. Each bin has some volume. You can get these shapes:
Balanced profile: volume is fairly symmetric around the mean, skew near 0.
Bottom-heavy profile: more volume at lower prices, with a tail toward higher prices, skew tends to be positive.
Top-heavy profile: more volume at higher prices, with a tail toward lower prices, skew tends to be negative.
In this script:
Positive skew is labeled as ACCUMULATION.
Negative skew is labeled as DISTRIBUTION.
Near-zero skew is NEUTRAL.
Important: accumulation here does not mean “buying will immediately pump price.” It means the profile shape suggests more participation at lower prices inside the current lookback range. Distribution means participation is heavier at higher prices.
How the volume profile is built
1) Define the analysis window
The profile is computed on a rolling window:
Lookback Period: number of bars included (capped by available history).
Profile Resolution (bins): number of price bins used to discretize the high-low range.
The script finds the highest high and lowest low in the lookback window to define the price range:
rangeHigh = highest high in window
rangeLow = lowest low in window
binSize = (rangeHigh - rangeLow) / bins
2) Create bin midpoints
Each bin gets a midpoint “price” used for calculations:
price = rangeLow + binSize * (b + 0.5)
These midpoints are what the mean, variance, and skewness are computed on.
3) Distribute each candle’s volume into bins
This is a key implementation detail. Real volume profiles require tick-level data, but Pine does not provide that. So the script approximates volume-at-price using candle ranges:
For each bar in the lookback:
Determine which bins its low-to-high range touches.
Split that candle’s total volume evenly across the touched bins.
So if a candle spans 6 bins, each bin gets volume/6 from that bar. This is a practical, consistent approximation for “where trading could have occurred” inside the bar.
This approach has tradeoffs:
It does not know where within the candle the volume truly traded.
It assumes uniform distribution across the candle range.
It becomes more meaningful with larger samples (bigger lookback) and/or higher timeframes.
But it is still useful because the purpose here is the shape of the distribution across the whole window, not exact microstructure.
Key profile levels: POC, VAH, VAL, VWMP
POC (Point of Control)
POC is found by scanning bins and selecting the bin with maximum volume. The script stores:
pocIndex: which bin has max volume
poc price: midpoint price of that bin
Value Area (VAH/VAL) using 70% volume
The script builds the value area around the POC outward until it captures 70% of total volume:
Start with the POC bin.
Expand one bin at a time to the side with more volume.
Stop when accumulated volume >= 70% of total profile volume.
Then:
VAL = rangeLow + binSize * lowerIdx
VAH = rangeLow + binSize * (upperIdx + 1)
This produces a classic “where most business happened” zone.
VWMP (Volume-Weighted Mean Price)
This is essentially the center of mass of the profile:
VWMP = sum(price * volume ) / totalVolume
It is similar in spirit to VWAP, but it is computed over the profile bins, not from bar-by-bar typical price.
Skewness calculation: turning the profile into an oscillator
This is the main feature.
1) Treat volumes as weights
For each bin:
weight = volume / totalVolume
Now weights sum to 1.
2) Compute weighted mean
Mean price:
mean = sum(weight * price )
3) Compute weighted variance and std deviation
Variance:
variance = sum(weight * (price - mean)^2)
stdDev = sqrt(variance)
4) Compute weighted third central moment
Third moment:
m3 = sum(weight * (price - mean)^3)
5) Standardize to skewness
Skewness:
rawSkew = m3 / (stdDev^3)
This standardization matters. Without it, the value would explode or shrink based on profile scale. Standardized skewness is dimensionless and comparable.
Smoothing and regime rules
Raw skewness can be jumpy because:
profile bins change as rangeHigh/rangeLow shift,
one high-volume candle can reshape the distribution,
volume regimes change quickly in crypto.
So the indicator applies EMA smoothing:
smoothedSkew = EMA(rawSkew, smooth)
Then it classifies regime using fixed thresholds:
Bullish (ACCUMULATION): smoothedSkew > +0.25
Bearish (DISTRIBUTION): smoothedSkew < -0.25
Neutral: between those values
Signals are generated on threshold cross events:
Bull signal when smoothedSkew crosses above +0.25
Bear signal when smoothedSkew crosses below -0.25
This makes the skew act like a regime oscillator rather than a constantly flipping color.
Volume Profile plotting modes
The script draws the profile on the last bar, using boxes for each bin, anchored to the right with a configurable offset. The width of each profile bar is normalized by max bin volume:
volRatio = binVol / maxVol
barWidth = volRatio * width
Three style modes exist:
1) Gradient
Uses a “jet-like” gradient based on volRatio (blue → red). Higher-volume bins stand out naturally. Transparency increases as volume decreases, so low-volume bins fade.
2) Solid
Uses the current regime color (bull/bear/neutral) for all bins, with transparency. This makes the profile read as “structure + regime.”
3) Skew Highlight
Highlights bins that match the skew bias:
If skew bullish, emphasize lower portion of profile.
If skew bearish, emphasize higher portion of profile.
Else, keep most bins neutral.
This is a visual “where the skew is coming from” mode.
Historical POC tracking and Naked POCs
This script also treats POCs as meaningful levels over time, similar to how traders track old VA levels.
What is a “naked POC”?
A “naked POC” is a previously formed POC that has not been revisited (retested) by price since it was recorded. Many traders watch these as potential reaction zones because they represent prior “maximum traded interest” that the market has not re-engaged with.
How this script records POCs
It stores a new historical POC when:
At least updatebars have passed since the last stored POC, and
The POC has changed by at least pochangethres (%) from the last stored value.
New stored POCs are flagged as naked by default.
How naked becomes tested
On each update, the script checks whether price has entered a small zone around a naked POC:
zoneSize = POC * 0.002 (about 0.2%)
If bar range overlaps that zone, mark it as tested (not naked).
Display controls:
Highlight Naked POCs: draws and labels untested POCs.
Show Tested POCs: optionally draw tested ones in a muted color.
To avoid clutter, the script limits stored POCs to the most recent 20 and avoids drawing ones too close to the current POC.
On-chart key levels and what they mean
When enabled, the script draws the current lookback profile levels on the price chart:
POC (solid): the “most traded” price.
VAH/VAL (dashed): boundaries of the 70% value area.
VWMP (dotted): volume-weighted mean of the profile distribution.
Interpretation framework (practical, not mystical):
POC often behaves like a magnet in balanced conditions.
VAH/VAL define the “accepted” area, breaks can signal auction continuation.
VWMP is a fair-value reference, useful as a mean anchor when skew is neutralizing.
Oscillator panel and histogram
The skew oscillator is plotted in a separate pane:
Line: smoothedSkew, colored by regime.
Histogram: smoothedSkew as bars, colored by sign.
Fill: subtle shading above/below 0 to reinforce bias.
This makes it easy to read:
Direction of bias (positive vs negative).
Strength (distance from 0 and from thresholds).
Transitions (crosses of ±0.25).
Info table: what it summarizes
On the last bar, a table prints key diagnostics:
Current skew value (smoothed).
Regime label (ACCUMULATION / DISTRIBUTION / NEUTRAL).
Current POC, VAH, VAL, VWMP.
Count of naked POCs still active.
A simple “volume location” hint (lower/higher/balanced).
This is designed for quick scanning without reading the entire profile.
Alerts
The indicator includes alerts for:
Skew regime shifts (cross above +0.25, cross below -0.25).
Price crossing above/below current POC.
Approaching a naked POC (within 1% of any active naked POC).
The “approaching naked POC” alert is useful as a heads-up that price is entering a historically important volume magnet/reaction zone.
How to use it properly
1) Regime filter
Use skew regime to decide what type of trades you should prioritize:
ACCUMULATION (positive skew): market activity is heavier at lower prices, pullbacks into value or below VWMP often matter more.
DISTRIBUTION (negative skew): activity is heavier at higher prices, rallies into value or above VWMP often matter more.
NEUTRAL: mean-reversion and POC magnet behavior tends to dominate.
This is not “buy when green.” It is context for what the auction is doing.
2) Level-based execution
Combine skew with VA/POC levels:
In neutral regimes, expect rotations around POC and inside VA.
In strong skew regimes, watch for acceptance away from POC and reactions at VA edges.
3) Naked POCs as targets and reaction zones
Naked POCs can act like unfinished business. Common workflows:
As targets in rotations.
As areas to reduce risk when price is approaching.
As “if it breaks cleanly, trend continuation” markers when price returns with force.
Parameter tuning guidance
Lookback
Controls how “local” the profile is.
Shorter: reacts faster, more sensitive to recent moves.
Longer: more stable, better for swing context.
Bins
Controls resolution of the profile.
Higher bins: more detail, more computation, more sensitive profile shape.
Lower bins: smoother, less detail, more stable skew.
Smoothing
Controls how noisy the skew oscillator is.
Higher smoothing: fewer regime flips, slower response.
Lower smoothing: more responsive, more false transitions.
POC tracking settings
Update interval and threshold decide how many historical POCs you store and how different they must be. If you set them too loose, you will spam levels. If too strict, you will miss meaningful shifts.
Limitations and what not to assume
This indicator uses candle-range volume distribution because Pine cannot see tick-level volume-at-price. That means:
The profile is an approximation of where volume could have traded, not exact tape data.
Skew is best treated as a structural bias, not a precise signal generator.
Extreme single-bar events can distort the distribution briefly, smoothing helps but cannot remove reality.
Summary
Volume Profile Skew takes standard volume profile structure (POC, Value Area, volume-weighted mean) and adds a statistically grounded measure of profile shape using skewness. The result is a regime oscillator that quantifies whether volume concentration is leaning toward lower prices (accumulation) or higher prices (distribution), while also plotting the full profile, key levels, and historical naked POCs for actionable context.
Ultimate CVD Suite Pro [DAFE]Ultimate CVD Suite Pro : The Institutional Flow Engine
High-Fidelity Microstructure Delta. The Revolutionary MTF Horizon Display. This is not just CVD. This is an X-Ray into the Market's Auction.
█ PHILOSOPHY: PRICE IS THE ADVERTISEMENT. ORDER FLOW IS THE TRUTH.
Standard technical analysis is a conversation with a shadow. It looks at price—the final, often deceptive, result of a hidden battle. But the professionals, the institutions, the "smart money"—they don't trade the shadow. They operate in the real world of the auction, a world of aggressive market orders and passive limit orders, a world of absorption, exhaustion, and imbalance.
The Ultimate CVD Suite Pro was engineered to give you a direct, unfiltered view into this hidden world. This is not another lagging indicator that repaints the past. It is a real-time intelligence engine. By reconstructing a high-fidelity view of the market's microstructure, it allows you to track the institutional footprint, anticipate reversals before they appear in price, and identify high-probability "kill zones" where major market players are defending their positions.
We do not chase price. We anticipate its next move by understanding the forces that create it.
█ WHAT MAKES THIS THE "ULTIMATE" SUITE? THE CORE INNOVATIONS
This is not a simple CVD indicator. It is a multi-layered, professional-grade analytics engine that stands in a class of its own.
High-Fidelity Microstructure Delta Engine: This is the heart of the suite and its greatest innovation. Standard CVD indicators are flawed because they use data from the current chart's timeframe. This engine is different. It requests data from a Lower Timeframe (LTF) and reconstructs the order flow with near tick-level precision. This provides a vastly superior, more accurate, and more responsive picture of the real buying and selling aggression.
The MTF Horizon Display: A revolutionary leap in data visualization. The Horizon projects up to three "holographic" displays of higher-timeframe metrics (CVD, Volume, RSI, etc.) directly onto your main price chart. You can now see the "Macro Flow" of the 1-Hour, 4-Hour, and Daily charts without ever leaving your 5-minute screen, allowing for instant, intuitive multi-timeframe analysis.
The Sequence Analysis Engine (E/M/L): This proprietary algorithm analyzes the DNA of order flow within each price bar. It identifies and marks the three critical phases of participation: Early (Smart Money), Mid (Trend Followers), and Late (Exhaustion/Bag Holders) with glowing "sparkles," giving you a narrative of who is in control.
Smart Kill Zone Detection: The indicator automatically identifies, plots, and tracks high-probability Supply and Demand zones. These are not based on simple price pivots. They are generated by identifying price levels where an overwhelming amount of aggressive order flow was forcefully absorbed, marking a true, institutionally defended level.
Advanced Signal Processing: It goes beyond simple CVD to detect statistically significant Imbalances (Delta spikes >3 Sigma from the mean) and Absorption (high-volume, high-delta moves that fail to move price), providing you with a complete toolkit of professional order flow concepts.
The Visualization Core: Data should be intuitive and beautiful. Choose from six distinct, animated, and theme-aware rendering modes. From the glowing "Nebula Pulse" and flowing "Aurora Borealis" to the abstract "DNA Helix," you can transform raw data into interactive data art.
█ DEEP DIVE: INTERPRETING THE FLOW
The Lower Indicator Pane: Your Engine Roo
The Delta Histogram: This is your primary readout of aggression. Tall Green bars signify aggressive buying. Tall Red bars signify aggressive selling. Look for shifts and divergences.
The Sequence Sparkles (✦ E/M/L): These glowing orbs appear within the histogram, telling you the story of the auction.
E (Early): Low volume, but directional delta. Smart money is likely initiating a position.
M (Mid): Expanding volume and strong delta. The trend is healthy and has public participation.
L (Late): Highest volume, but delta may start to weaken or reverse. This often marks the exhaustion point of a move.
The Delta Acceleration Area: A subtle background fill that shows the rate of change of the delta. A rising green fill shows that buying pressure is not just present, but increasing.
Peak/Trough Markers (✚): Automatically marks significant peaks and troughs in the cumulative delta flow, making it easy to spot divergences.
The Main Chart Overlays: Actionable Intelligence
The CVD Wave: This is the Cumulative Volume Delta, plotted and scaled directly onto your price chart. It visualizes the running total of buying vs. selling pressure. Its slope is your primary trend confirmation.
Smart Kill Zones:
Demand Zones (Green Boxes): These are areas where aggressive selling was forcefully absorbed by passive buyers. When price revisits these zones, they are high-probability areas for a bounce.
Supply Zones (Red Boxes): Areas where aggressive buying was absorbed by passive sellers. These are high-probability rejection zones.
Imbalance & Absorption Lines: These lines are projected forward from bars that showed statistically significant events. They mark precise price levels of extreme order flow that are likely to act as future support or resistance.
█ THE MTF HORIZON DISPLAY: A COMMAND CENTER FOR TIME
This is a game-changer. The MTF Horizon projects up to three fully functional, real-time indicator displays from higher timeframes directly onto your chart. You can customize each of the three "Horizons" to display any of 10 different metrics (CVD, Volume, RSI, MACD, etc.) from any timeframe you choose.
How It Works: Each Horizon is a self-contained box with a header showing the timeframe and metric. Inside, a visual representation (e.g., a "Flowing Wave" or "Gradient Bars") shows the historical and current value of that metric.
The Strategy: This allows for instant, effortless multi-timeframe analysis. Are you seeing a buy signal on your 5-minute chart? A quick glance at the Horizon tells you if the 1-Hour CVD is rising, if the 4-Hour Volume is expanding, and if the Daily RSI is in a bullish regime—all without ever leaving your chart. Confluence across all Horizons is the signature of an A++ trade setup.
█ HIGH-PROBABILITY SIGNALS: TRADING THE FLOW
🔄 Divergence (The "Trap"): The highest conviction signal. When price makes a Lower Low, but the CVD Wave on your chart makes a Higher Low, it means sellers are aggressive but failing. A short squeeze is imminent. This is a powerful long entry signal.
🧲 Absorption (The "Wall"): Detected when volume is massive, delta is high, but the price candle is small. This indicates a huge wall of passive limit orders absorbing all the aggression. Fade the aggression; trade with the wall.
⚖️ Imbalance (The "Surge"): A delta bar that is statistically extreme (e.g., >3 Sigma from the mean). This signals that one side of the market has completely overwhelmed the other. This is often a powerful trend continuation signal.
Zone Retests: When price pulls back to test a previously formed Demand or Supply Zone, it provides a low-risk, high-probability entry in the direction of the original defense.
█ DEVELOPMENT PHILOSOPHY
The Ultimate CVD Suite Pro was born from a single, guiding principle: to win in modern markets, you must stop listening to the noise of price and start analyzing the signal of flow. Price is where amateurs look; flow is where professionals find their edge. By reconstructing order flow with a precision previously unavailable on this platform and fusing it with a revolutionary multi-timeframe visualization system, this tool aims to level the playing field. It translates the opaque, complex world of the institutional auction into a clear, intuitive, and actionable intelligence system.
This tool is designed to identify the moments when the market is becoming rational again—when the underlying flow of money is so strong that it forces irrational price action to bend to its will.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence on order flow, not financial advice. It is designed to be a core component of a comprehensive trading strategy.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose.
LTF IS KEY: For the best results, set your Lower Timeframe (LTF) appropriately. For a 15-minute chart, use 1m or 3m. For a 1-Hour chart, use 5m.
USE CONFLUENCE: The highest probability signals come from confluence. A Bullish Divergence that forms inside a Smart Demand Zone while the MTF Horizon shows bullish alignment is an A++ setup.
"The market can remain irrational longer than you can remain solvent."
— John Maynard Keynes
Taking you to school. - Dskyz, Trade with Anticipation. Trade with Volume. Trade with CVD: Suite Pro
RSI: Evolved [DAFE]RSI: Evolved : The Ultimate Momentum Intelligence Engine
30+ RSI Engines. 15+ Zero-Lag Smoothers. The Revolutionary Quantum Horizon. This is Not Just an RSI. This is the Evolution of Momentum.
█ PHILOSOPHY: BEYOND THE OSCILLATOR, INTO THE NEXUS
The standard Relative Strength Index is a relic. It is a brilliant, timeless concept trapped in a rigid, one-dimensional formula developed in the 1970s. It assumes all market momentum is uniform, that all volatility is equal, and that a single mathematical lens is sufficient to view the infinitely complex character of modern markets. It is not.
RSI: Evolved was not created to be another RSI. It was engineered to be the definitive evolution of momentum analysis. This is not an indicator; it is a powerful, interactive research environment. It is a laboratory where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a momentum oscillator that is perfectly adapted to the unique physics of your market, timeframe, and trading style.
This suite deconstructs the very DNA of the RSI, rebuilding it with a library of over 30 distinct, mathematically diverse calculation engines . From timeless classics and exotic variations to proprietary DAFE quantum models, this suite provides an unparalleled arsenal for quantifying the unseen forces of market momentum.
█ THE EVOLUTION: WHAT MAKES THIS UNLIKE ANY OTHER RSI?
This is not just a collection of features; it is a seamlessly integrated, multi-layered analytical system. It stands in a class of its own for several key reasons:
The 30+ Algorithm Core: At its heart is a library of over 30 unique RSI calculation engines. You can now choose an engine based on its mathematical properties—whether you need the zero-lag responsiveness of a Hull RSI, the time-warping capability of a Laguerre RSI, or the predictive power of a DAFE Quantum Fusion RSI.
Advanced Post-Processing: After the RSI is calculated, it passes through a multi-stage refinement process. First, choose from over 15+ professional-grade smoothing algorithms to create a crystal-clear signal. Then, activate the intelligent Filter Module to scale the RSI's output based on trend, volatility, or momentum regimes.
The Quantum Horizon & Temporal Wave: This is a revolutionary leap in data visualization. The indicator projects the historical momentum waves from higher timeframes directly onto your main price chart as a futuristic, holographic overlay. You can now see the alignment (or divergence) of macro momentum without ever looking away from price action. This is multi-timeframe analysis evolved into an art form.
Dynamic, Volatility-Adaptive Zones: Static 70/30 levels are obsolete. Evolved's "Quantum Zones" are alive; they "breathe" with market volatility. They automatically widen during powerful trends to keep you in a winning trade and tighten during choppy consolidation to help you catch reversals with greater precision.
Comprehensive Analytical Modules: This is a full suite of institutional-grade tools, including a powerful regular and hidden Divergence Engine , a multi-timeframe Consensus Dashboard , and dynamic RSI Bands (Bollinger, Keltner, etc.) plotted directly on the oscillator.
█ THE QUANTUM HORIZON & TEMPORAL WAVE: SEEING MOMENTUM IN 4D
This groundbreaking feature fundamentally changes how you interact with multi-timeframe momentum data. The Quantum Horizon is a dedicated visualization module that projects up to three "Temporal Waves" directly onto your main price chart. Each wave is a historical representation of a momentum oscillator (RSI, MFI, or Stoch RSI) pulled from a higher timeframe of your choice. Instead of flipping between charts or cluttering your screen with multiple indicators, you get an immediate, intuitive, and aesthetically stunning view of the market's complete momentum structure.
Each Temporal Wave is a self-contained universe, rendered as a glowing, flowing line within its own gridded channel. This channel is not just for show; it represents the 0-100 scale of the oscillator, with key 30, 50, and 70 levels marked for reference. You can see the history of momentum, its peaks, its troughs, and its crossovers with its own signal line. This allows you to visually identify macro divergences, trend alignment, and exhaustion points on your primary trading chart, transforming your analysis from a fragmented process into a single, unified experience. This is no longer just an indicator; it is a true Heads-Up Display for the flow of time and momentum.
█ THE ARSENAL: A DEEP DIVE INTO THE RSI & SMOOTHING ENGINES
This is your library of mathematical DNA. Understanding your tools is the first step to mastery. The 30+ RSI types are grouped into distinct families, each with a unique philosophy.
THE RSI ENGINE FAMILIES
The Classics (Wilder's, Cutler's, EMA, WMA): These are the foundational building blocks of momentum analysis. They provide a reliable, time-tested baseline. Wilder's uses the RMA for a unique smoothing characteristic, while Cutler's uses the SMA for a more direct, arithmetic average of gains and losses. The EMA and WMA versions offer increased responsiveness by weighting recent price action more heavily.
The Low-Lag Warriors (DEMA, TEMA, Hull, ZLEMA): This family is engineered specifically to combat the inherent lag of classical averages. The Double and Triple EMA (DEMA, TEMA) use a composite of multiple EMAs to reduce latency. The Zero-Lag EMA (ZLEMA) attempts to remove lag by adjusting the source price with its own past data. The Hull RSI is a standout, using a weighted moving average calculation to achieve a remarkable balance of extreme smoothness and near-zero lag, making it ideal for scalping.
The Exotics (Laguerre, Connors, Fisher, KAMA): These engines employ advanced mathematical concepts to view momentum through a different lens. The Laguerre RSI , based on John Ehlers' work, uses a time-warping, non-linear filter that can be extremely responsive to changes in trend. The Fisher Transform RSI normalizes the output to a Gaussian distribution, making peaks and troughs sharper and more defined for clearer signals. The KAMA Adaptive RSI is a "smart" algorithm that automatically slows its calculation in choppy markets and speeds it up in strong trends.
The Volume-Based (Volume-Weighted, MFI, VWAP-Weighted): This family infuses price momentum with volume data, providing a measure of conviction. They answer not just "how fast is price moving?" but "how much participation is behind the move?". The Money Flow RSI (MFI) is a classic, while the Volume-Weighted and VWAP-Weighted versions directly incorporate volume into the gain/loss calculation, giving more weight to high-volume bars.
The DAFE Proprietary Engines (The "God Mode" Algos): The crown jewels of the Laboratory, these are custom-built, proprietary algorithms you will not find anywhere else.
DAFE Quantum Fusion: This engine calculates RSI on three harmonic timeframes simultaneously (based on the Golden Ratio) and "superimposes" them using a dynamic weighting system based on volume and momentum confidence. It is the most robust and balanced all-rounder.
DAFE Kinetic Energy: Based on the physics principle that Momentum = Mass × Velocity. Standard RSI only sees Velocity (price change). Kinetic RSI weights every price move by Relative Volume (Mass), measuring the true "force" of the market.
DAFE Spectral: This engine uses concepts from Digital Signal Processing to analyze the frequency of price moves. It automatically differentiates between the "Signal" (the underlying trend) and the "Noise" (the chop), and adapts its calculation speed accordingly.
DAFE Entropy Flow: A unique engine that uses Information Theory to measure market "disorder." In chaotic, high-entropy markets, it automatically dampens its own signal to avoid whipsaws. In orderly, low-entropy trends, it sharpens its signal to be more responsive.
THE POST-SMOOTHING FILTERS
After your primary RSI is calculated, you can pass it through one of over 15 advanced filters for unparalleled clarity.
Low-Lag (Hull, DEMA, TEMA): Ideal for responsive smoothing that tracks the raw RSI closely.
Adaptive (KAMA, VIDYA): Perfect for smart, regime-aware smoothing that is slow in chop and fast in trends.
DSP & Scientific (SuperSmoother, Butterworth, Gaussian, Jurik-Style): The pinnacle of signal processing. These filters provide the absolute cleanest signal with minimal lag, leveraging advanced digital signal processing techniques to surgically remove noise.
█ THE ANALYTICAL MODULES: BEYOND THE LINE
Dynamic Zones: Your overbought/oversold levels (e.g., 70/30) are no longer static lines. They are living, breathing zones that respond to market volatility. They automatically widen during powerful, high-volatility trends to prevent you from selling a strong uptrend too early. Conversely, they tighten during low-volatility consolidation, allowing you to catch smaller, mean-reverting moves with greater precision. This is a crucial evolution for trading in modern, dynamic markets.
Divergence Engine: The automated engine works tirelessly in the background to detect critical disconnects between price and momentum. It automatically identifies and plots both Regular Divergences (which often signal major trend reversals) and Hidden Divergences (which often signal trend continuations after a pullback) with clear on-chart and in-pane markers and lines.
MTF Dashboard: Context is everything. This module provides an instant read on the momentum across three higher timeframes of your choice. The "Consensus" reading tells you if all timeframes are aligned ("ALL BULL" or "ALL BEAR"), providing powerful contextual confirmation for your trades and helping you avoid taking signals that go against the macro flow.
RSI Bands: This module applies a full-fledged band methodology (Bollinger Bands, Keltner Channels, etc.) directly to the RSI line itself. A pierce of the upper or lower band is a powerful sign of a statistical extreme, often preceding a sharp reversion back to the mean. A "squeeze" in the RSI bands often precedes an explosive move in momentum.
Signal Line & Histogram: The fast-moving RSI line is paired with a slower, smoother Signal Line of your choice. Crossovers between these two lines can be used as effective entry/exit triggers that are often more reliable than simple overbought/oversold levels. The histogram visually represents the momentum (the velocity and acceleration) of the RSI itself, turning from light to dark green in a strengthening uptrend, for example.
█ DEVELOPMENT PHILOSOPHY
RSI: Evolved was forged from a single, guiding principle: momentum is not a fixed property; it is a dynamic, multi-faceted force with a unique character in every market. This tool was designed for the trader who is no longer satisfied with a one-size-fits-all indicator. It is for the analyst, the tinkerer, the scientist—the individual who seeks to deconstruct, understand, and master the hidden physics of market momentum. This is a tool for forging your own alpha, not just following a lagging line.
RSI: Evolved is designed to give you that patience and discipline, providing a crystal-clear, multi-dimensional view of momentum so you can act with precision when the perfect setup finally arrives.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence on momentum, not financial advice. It should be used as a core component of a complete trading strategy.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose.
START WITH A ROBUST BASE: The "DAFE Quantum Fusion" engine with the "SuperSmoother" is an exceptionally powerful and well-balanced starting point for most markets.
USE CONFLUENCE: The highest probability signals occur when multiple modules agree. For example: a Regular Bullish Divergence, as the RSI crosses up from an Extreme Oversold Dynamic Zone, while the Quantum Horizon shows the higher timeframes are also starting to turn up.
"The hard part is not making the decision to buy or sell, but having the patience and discipline to wait for the right setup."
— Mark Weinstein
Taking you to school. - Dskyz, Trade with Anticipation. Trade with Strength. Trade with RSI: Evolved
Forecast OscillatorGeneral Overview
The Forecast Oscillator Plus (FOSC+) is not just another oscillator. It is an advanced quantitative analysis tool developed to bridge the gap left by traditional momentum indicators (like RSI or Stochastic) which often suffer from "lag" or remain pinned in extreme zones during strong trends.
This "Plus" version has been specifically engineered and optimized for high-velocity scalping and day-trading on assets like NAS100 (Nasdaq) and XAUUSD (Gold) using ultra-short timeframes (1-min, 5-min).
🛡️ Why is FOSC+ Different?
1. Linear Regression Intelligence
At the heart of this script is a powerful Linear Regression (LinReg) engine. Instead of comparing price to a simple average, FOSC+ calculates the percentage deviation between the current price and its predicted theoretical trajectory. This allows the indicator to identify not just if the price is "high" or "low," but if it is abnormally distanced from its current trend, signaling an imminent Mean Reversion.
2. Adaptive Dynamic Bands (Volatility-Adjusted)
A major weakness of classic oscillators is the use of fixed levels (e.g., 80/20). FOSC+ utilizes Standard Deviation to generate overbought and oversold zones that "breathe" with the market.
During high volatility, the bands expand to filter out noise and premature entries.
During low volatility, they tighten to capture precise turning points.
3. Institutional Volume Filter (Anti-Fakeout)
To succeed in the Nasdaq market, you must follow the "Smart Money." This script integrates a Volume Spike Filter. A signal (Buy/Sell) is only triggered if the current candle's volume is significantly higher than its moving average (adjustable multiplier). This ensures you only enter trades backed by real institutional strength.
4. Algo-Ready for PineConnector
The code has been structured for seamless automation. With built-in EMA smoothing to reduce 1-minute "market chatter," the signals are clean and sharp, minimizing execution errors when sending orders to MetaTrader 5 via PineConnector.
📈 Technical Trading Guide
Buy Signals (Green Triangle): Occur when the oscillator crosses above the dynamic oversold band OR crosses back above the zero line, provided that volume confirms the impulse.
Sell Signals (Red Triangle): Occur when the oscillator crosses below the dynamic overbought band OR breaks below the zero line from above, with volume confirmation.
Momentum Histogram: The colored columns indicate acceleration strength. Excellent for Trailing Stops: as long as the histogram is growing, the momentum is in your favor!.
⚙️ Recommended Parameters
Length (14): The "Sweet Spot" for balancing reactivity and reliability.
Smooth Len (4): Essential for 1-min charts to eliminate micro-fluctuations without adding lag.
Volume Mult (1.15): Filters out the bottom 15% of volume to keep only significant candles.
⚠️ Stress-Tested for Real Conditions
This script has been rigorously backtested with Slippage settings ranging from 10 to 25 points. Even under difficult market conditions with high spreads, the indicator maintains a positive expectancy, making it a premier tool for traders using Standard or Raw accounts.
Time Pressure ZonesTime Pressure Zones is a multi‑purpose candle and volume‑based indicator that highlights moments when markets are likely being driven by urgency rather than routine trading flow.
**Overview**
Detects sequences of strong, one‑directional candles accompanied by volume spikes to approximate institutional time pressure (forced buying or selling).
Paints subtle background zones, labels, and a net‑pressure histogram so you can see when aggressive flow is building or exhausting across any instrument and timeframe.
**Core Logic**
A bar is tagged “strong” when its real body occupies at least a user‑defined percentage of the full high‑low range, filtering out indecision candles and long‑wick noise.
Volume is compared to a rolling 20‑bar average; only bars with volume above a configurable multiple are treated as meaningful participation, which makes the tool adapt to different symbols and sessions.
The script counts consecutive bars that are both strong and high‑volume in the same direction, then flags a time‑pressure event once a set fraction of the lookback has been reached (e.g., 2 out of 3, 3 out of 5).
**Visual Outputs**
Background shading: green or red bands mark active bullish or bearish time‑pressure windows without overpowering other tools on the chart.
On‑chart labels: “↑ Time Pressure” and “↓ Time Pressure” appear only on the first bar of a new pressure sequence, ideal for alerts and discretionary entries.
Net Pressure histogram: plots the difference between bullish and bearish streak counts, giving a quick at‑a‑glance sense of which side currently dominates.
**Sessions and News**
Uses UTC‑based logic to highlight London and New York open and close windows, where institutional flows and intraday “deadline” behavior tend to cluster.
Includes a manual News Window toggle so you can mark high‑impact event periods (CPI, FOMC, NFP, etc.), aligning tape‑based urgency with scheduled catalysts.
**How To Use**
Look to join moves when fresh time‑pressure labels print into session opens, breakouts, or key levels, rather than fading them.
Tune the three main inputs per market and timeframe: lower thresholds for choppy or thin markets, and higher body/volume requirements for very liquid symbols like major indices or BTC pairs.
Bitcoin Relative Macro StrengthBTC Relative Macro Strength
Overview
The BTC Relative Macro Strength indicator measures Bitcoin's price strength relative to the global macro environment. By tracking deviations from the macro trend, it identifies potentially overvalued and undervalued market phases.
The global macro trend is derived by multiplying the ISM PMI (a widely-used proxy for the business cycle) by a simplified measure of global liquidity.
Calculations
Global Liquidity = Fed Balance Sheet − Reverse Repo − Treasury General Account + U.S. M2 + China M2
Global Macro Trend = ISM PMI × Global Liquidity
Understanding the Global Macro Trend
The global macro trend plot combines the ebb and flow of global liquidity with the cyclical patterns of the business cycle. The resulting composite exhibits strong directional correlation with Bitcoin—or more precisely, Bitcoin appears to move in lockstep with liquidity conditions and business cycle phases.
This relationship has strengthened notably since COVID, likely because Bitcoin's growing market capitalization has increased its exposure to macro forces.
The takeaway is that Bitcoin is acutely sensitive to growth in the money supply (it trends with liquidity expansion) and oscillates with the phases of the business cycle.
Indicator Components
📊 Histogram: BTC/Macro Change
Displays the rolling percentage change of Bitcoin's price relative to the global macro trend.
High values: Bitcoin is outpacing macro conditions (potentially overvalued)
Low values: Bitcoin is underperforming macro conditions (potentially undervalued)
Color scheme:
🟢 Green = Positive deviation
🔴 Red = Negative deviation
📈 Macro Slope Line
Plots the scaled percentage change of the global macro trend itself.
Color scheme:
🔵 Teal = BULLISH (slope positive and rising)
⚪ Gray = NEUTRAL (slope and trend disagree)
🟣 Pink = BEARISH (slope negative and falling)
FieldDescription
BTC/Macro Change : Percentage change of Bitcoin's price vs. the Global Macro Trend (default: 21-bar average)
Macro Trend : Composite assessment combining slope direction and trend momentum. Reads BULLISH when both align upward, BEARISH when both align downward, NEUTRAL when they disagree
Macro Slope : The global macro trend's average slope expressed as a percentage
BTC Valuation : Relative valuation category based on BTC/Macro deviation (Extreme Premium → Extreme Discount)
BTC Price : Current Bitcoin price
How to Use
This indicator is primarily useful for identifying market phases where Bitcoin's price has diverged from the global macro trend.
Identify extremes : Look for periods when the histogram reaches elevated positive or negative levels
Assess valuation : Use the BTC Valuation reading to gauge relative over/undervaluation
Confirm with trend : Check whether macro conditions support or contradict the current price level
Mean reversion : Consider that significant deviations from trend historically tend to revert
Note: This indicator identifies relative valuation based on macro conditions—it does not predict price direction or timing.
Settings
Lookback Period - 21 bars - Number of bars for calculating rolling averages
Macro Slope Scale - 3.0 - Multiplier for macro slope line visibility
Average Candle Body (24h Rolling)This indicator calculates the average size of candle bodies (|Close – Open|) over the last 24 hours, regardless of your current chart timeframe.
Unlike ATR or ADR, which measure total range (High – Low) or day-to-day volatility, this tool focuses purely on the real body size of candles — a more accurate representation of in-session price momentum and liquidity activity.
🔍 How it works
The script automatically determines how many candles represent the last 24 hours based on your current timeframe (e.g. 288 candles on a 5-minute chart).
It then computes a Simple Moving Average (SMA) of the absolute candle body size across that rolling 24-hour window.
Optionally, the script also plots the current candle body size as a grey histogram for quick comparison.
⚙️ Use cases
Gauge intraday volatility based on average body movement rather than wicks.
Build dynamic stop-loss models (e.g., Stop = 1.2 × AverageBodySize).
Detect periods of compression or expansion in price action.
Filter or confirm setups (e.g., only trade when candle bodies exceed their 24 h average).
📈 Displayed elements
Orange line: average candle body size (rolling 24 hours)
Grey histogram: current candle body size for each bar
Works automatically across all timeframes and assets (crypto, forex, indices, etc.)
💡 Pro tip
This indicator pairs exceptionally well with:
EMA-based momentum systems (e.g. EMA 8/21 crosses)
Session-based reversal or sweep strategies (Asia-London transitions)
VWAP or liquidity-based frameworks where candle compression matters
📘 How to Interpret
When the orange line (24h average candle body) is rising, it indicates that average body sizes are expanding — signaling increasing intraday momentum and participation. This often aligns with periods of higher volatility, stronger trends, or major session opens (London/New York).
When the orange line is falling, it shows contracting body sizes, meaning the market is entering consolidation, reduced volatility, or indecision. Such periods often precede major breakouts or reversals.
Use this reading to:
Avoid false breakouts during low-body periods.
Tighten or widen stops based on real-time market compression or expansion.
Confirm reversals: a shrinking average body after a strong impulse can signal momentum exhaustion.
Buy-or-Sell-WiPIndicator Features:
> Simple red/green histogram to indicate go long/buy or go short/sell
> Recommended to use with my other indicator: 5/15-Min-ORB-Trend-Finder-WiP
Strategy:
> Use with 1-min chart with 5-min High/Low or 5-min chart with 15-min High/Low
> After a breakout, wait for confirmation before placing a trade, which is:
- Two confirming candles (green for long/buy, red for short/sell)
and
- Buy-or-Sell-WiP histogram: green for long/buy, red for short/sell
Reversal Probability Meter PRO [optimized for Xau/Usd m5]🎯 Reversal Probability Meter PRO
A powerful multi-factor reversal probability detector that calculates the likelihood of bullish or bearish reversals using RSI, EMA bias, ATR spikes, candle patterns, volume spikes, and higher timeframe (HTF) trend alignment.
🧩 MAIN FEATURES
1. Reversal Probability (Bullish & Bearish)
Displays two key metrics:
Bull % — probability of bullish reversal
Bear % — probability of bearish reversal
These are computed using RSI, EMAs, ATR, demand/supply zones, candle confirmations, and volume spikes.
📊 Interpretation:
Bull % > 70% → Buying pressure building up
Bull % > 85% → Strong bullish reversal confirmed
Bear % > 70% → Selling pressure building up
Bear % > 85% → Strong bearish reversal confirmed
2. Alert Probability Threshold
Adjustable via alertThreshold (default = 85%).
Alerts trigger only when probability ≥ threshold, and confirmed by zone + volume spike + candle pattern.
🔔 Alerts Available:
✅ Bullish Smart Reversal
🔻 Bearish Smart Reversal
To activate: Right-click chart → “Add alert” → choose the alert condition from the indicator.
3. Demand / Supply Zone Detection
The script determines the price position within the last zoneLook (default 30) bars:
🟢 DEMAND → Lower 35% of range (potential bounce zone)
🔴 SUPPLY → Upper 35% of range (potential rejection zone)
⚪ MID → Neutral area
📘 Purpose: Validates reversals based on context:
Bullish only valid in Demand zones
Bearish only valid in Supply zones
4. Higher Timeframe (HTF) Trend Alignment
Reads EMA bias from a higher timeframe (default = 15m) for trend confirmation.
Reversals against HTF trend are automatically weighted down prevents false countertrend signals.
📈 Example:
M5 chart under M15 downtrend → Bullish probability is reduced.
5. Candle Confirmation Patterns
Two key price action confirmations:
Bullish: Engulfing or Pin Bar
Bearish: Engulfing or Pin Bar
A valid reversal requires both a candle confirmation and a volume spike.
6. Volume & ATR Spike Filters
Volume Spike: volume > SMA(20) × 1.3
ATR Spike: ATR > SMA(ATR, 50) × volMult
🎯 Ensures that only strong market moves with real energy are considered valid reversals.
7. Reversal Momentum Histogram
A color-gradient oscillator showing the momentum difference:
Green = bullish dominance
Red = bearish dominance
Flat near 0 = neutral
Controlled by showOscillator toggle.
8. Smart Info Panel
A compact dashboard displayed on the top-right with 4 rows:
Row Info Description
1 Bull % Bullish reversal probability
2 Bear % Bearish reversal probability
3 Zone Market context (DEMAND / SUPPLY / MID)
4 Signal Strength Current signal intensity (probability %)
Dynamic Colors:
90% → Bright (strong signal)
75–90% → Yellow/Orange (medium)
<75% → Gray (weak)
9. Sensitivity Mode
Fine-tunes indicator reactivity:
🟥 Aggressive: Detects reversals early (more signals, less accurate)
🟨 Normal: Balanced, default mode
🟩 Conservative: Filters only strongest reversals (fewer but more reliable)
10. Custom Color Options
Customize bullish and bearish colors via bullBaseColor and bearBaseColor inputs for your preferred chart theme.
⚙️ HOW TO USE
Add to Chart
→ Paste the script into Pine Editor → “Add to chart”.
Select Timeframe
→ Best for M5–M30 (scalping/intraday).
→ H1–H4 for swing trading.
Monitor the Info Panel:
Bull % ≥ 85% + Zone = Demand → Strong bullish reversal signal
Bear % ≥ 85% + Zone = Supply → Strong bearish reversal signal
Watch the Histogram:
Rising green bars = bullish momentum gaining
Deep red bars = bearish momentum gaining
Enable Alerts:
Right-click chart → “Add alert”
Choose Bullish Smart Reversal or Bearish Smart Reversal
🧠 TRADING TIPS
Use Conservative mode for noisy lower timeframes (M5–M15).
Use Aggressive mode for higher timeframes (H1–H4).
Combine with manual support/resistance or zone boxes for precision entries. Personally i use Order Block.
Best reversal setups occur when all align:
Bull % > 85%
Zone = DEMAND
Volume spike present
Candle = Bullish engulfing
HTF trend supportive
Buyer vs Seller ControlBuyer vs Seller Control Analysis
Technical indicator measuring market participation through candlestick wick analysis
Overview:
This indicator analyzes the relationship between closing prices and candlestick wicks to measure buying and selling pressure. It calculates two key metrics and displays their moving averages to help identify market sentiment shifts.
Calculation Method:
The indicator measures two distinct values for each candle:
Buyer Control Value: Distance from candle low to closing price (close - low)
Seller Control Value: Distance from candle high to closing price (high - close)
Both values are then smoothed using a Simple Moving Average (default period: 20) to reduce noise and show clearer trends.
Visual Components:
Lime Line: 20-period SMA of buyer control values
Fuchsia Line: 20-period SMA of seller control values
Area Fill: Colored region between the two lines
Histogram: Difference between buyer and seller control SMAs
Zero Reference Line: Horizontal line at zero level
Information Table: Current numerical values (optional display)
Interpretation:
When the lime line (buyer control) is above the fuchsia line (seller control), it indicates that recent candles have been closing closer to their highs than to their lows on average.
When the fuchsia line is above the lime line, recent candles have been closing closer to their lows than to their highs on average.
Fill Color Logic:
Lime (green) fill appears when buyer control SMA > seller control SMA
Fuchsia (red) fill appears when seller control SMA > buyer control SMA
Fill transparency adjusts based on the magnitude of difference between the two SMAs
Stronger differences result in more opaque fills
Settings:
Moving Average Period: Adjustable from 1-200 periods (default: 20)
Show Info Table: Toggle to display/hide the numerical values table
Technical Notes:
The indicator works on any timeframe
Values are displayed in the same units as the underlying asset's price
The histogram shows the mathematical difference between the two SMA lines
Transparency calculation uses a 50-period lookback for dynamic scaling
This indicator provides a quantitative approach to analyzing candlestick patterns by focusing on where prices close relative to their intraday ranges.
