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!
Zero Lag MACD and EMA 200 with SignalsZero Lag MACD with EMA Filter and Smart Signals
This indicator is an enhanced version of the traditional MACD that uses Zero Lag EMA calculations to provide faster and more responsive signals for scalping and day trading.
Key Features:
🎯 Zero Lag Technology - Uses double-smoothed EMA calculations to eliminate lag and provide earlier signals compared to standard MACD
📊 Clean Visualization - Displays histogram with MACD and Signal lines for clear trend analysis
🔍 Smart Signal Logic - Only shows valid trading signals based on strict conditions:
Buy Signal (Green dot at bottom): Triggers when price is above 200 EMA AND MACD crosses Signal line from below AND crossover occurs below zero line
Sell Signal (Red dot at top): Triggers when price is below 200 EMA AND MACD crosses Signal line from above AND crossover occurs above zero line
🔔 Built-in Alerts - Easy alert setup for both buy and sell signals so you never miss a trading opportunity
📈 200 EMA Filter - Incorporates trend filter to avoid counter-trend trades and improve signal quality
⚙️ Fully Customizable - Adjust all parameters:
Fast EMA Length (default: 12)
Slow EMA Length (default: 26)
Signal Length (default: 9)
EMA Filter Length (default: 200)
How to Use:
-Add the indicator to your chart
-Look for green dots (buy signals) when price is in an uptrend above 200 EMA
-Look for red dots (sell signals) when price is in a downtrend below 200 EMA
-Set up alerts by clicking "Create Alert" and selecting "Buy Signal" or "Sell Signal"
-Use signals in conjunction with your trading strategy and risk management
Best Practices:
-Works best on 1-15 minute timeframes for scalping
-Combine with support/resistance levels for confirmation
-Use proper stop-loss and take-profit levels
-Not all signals will be profitable - use proper risk management
-Signals are filtered to reduce noise and false entries
Color Scheme:
Histogram: Red (bearish) / Cyan (bullish)
MACD Line: Fuchsia/Pink
Signal Line: Lime/Green
Buy Signal: Green dot (bottom)
Sell Signal: Red dot (top)
This indicator is perfect for traders who want a cleaner, faster-responding MACD with built-in trend filtering and clear entry signals. Free to use and customize!
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.
Fed Funds Rate-of-ChangeFed Funds Rate-of-Change
What it does:
This indicator pulls the Effective Federal Funds Rate (FRED:FEDFUNDS, monthly) and measures how quickly it’s changing over a user-defined lookback. It offers stabilized change metrics that avoid the “near-zero blow-up” you see with naive % ROC. The plot turns red only when the signal is below the lower threshold and heading down (i.e., value < –threshold and slope < 0).
This indicator is meant to be useful in monitoring fast cuts on the part of the FED - a signal that has preceded recession or market pullbacks in times prior.
Change modes: Percentage, log and delta.
Percent ROC (ε floor): 100 * (now - prev) / max(prev, ε)
Log change (ε): 100 * (ln(now + ε) - ln(prev + ε))
Delta (bps): (now - prev) * 100 (basis points; avoids percentage math)
Tip: For “least drama,” use Delta (bps). For relative change without explosions near zero, use Log change (ε).
Key inputs:
Lookback (months): ROC window in calendar months (because source is monthly).
Change Metric: one of the three options above.
ε (percentage points): small constant (e.g., 0.25 pp) used by Percent ROC (ε) and Log change (ε) to stabilize near-zero values.
EMA Smoothing length: light smoothing of the computed series.
Clip |value| at: optional hard cap to tame outliers (0 = off).
Threshold % / Threshold bps: lower/upper threshold band; unit adapts to the selected metric.
Plot as histogram: optional histogram view.
Coloring / signal logic
Red: value is below the lower threshold (–threshold) and the series is falling on the current bar.
How to use:
Add to any chart (timeframe doesn’t matter; data is monthly under the hood).
Pick a Change Metric and set Lookback (e.g., 3–6 months).
Choose a reasonable threshold:
Percent/Log: try 10–20%
Delta (bps): try 50–100 bps
Optionally smooth (EMA 3–6) and/or clip extreme spikes.
Interpretation
Sustained red often marks periods of accelerating downside in the Fed Funds change metric (e.g., policy easing momentum when using bps).
Neutral (gray) provides context without implying direction bias.
Notes & limitations
Source is monthly FRED series; values update on monthly closes and are stable (no intrabar repainting of the monthly series).
Threshold units switch automatically with the metric (%, %, or bps).
Smoothing/clip are convenience tools; adjust conservatively to avoid masking important shifts.
Top and Bottom Probability
The top and bottom probability oscillator is an educational indicator that estimates the probability of a local top or bottom using four ingredients:
price extension since the last RSI overbought/oversold,
time since that OB/OS event,
RSI divergence strength,
Directional Momentum Velocity (DMV) — a normalized, signed trend velocity.
It plots RSI, two probability histograms (Top %, Bottom %), and an optional 0–100 velocity gauge.
How to read it
RSI & Levels: Standard RSI with OB/OS lines (70/30 by default).
Prob Top (%): Red histogram, 0–100. Higher values suggest increasing risk of a local top after an RSI overbought anchor.
Prob Bottom (%): Green histogram, 0–100. Higher values suggest increasing chance of a local bottom after an RSI oversold anchor.
Velocity (0–100): Optional line. Above 50 = positive/upward DMV; below 50 = negative/downward DMV. DMV pushes Top risk when trending down and Bottom chance when trending up.
These are composite, scale-free scores, not certainties or trade signals.
What the probabilities consider
Price Delta: How far price has moved beyond the last OB (for tops) or below the last OS (for bottoms). More extension → higher probability.
Time Since OB/OS: Longer time since the anchor → higher probability (until capped by the “Time Normalization (bars)” input).
Oscillator Divergence: RSI pulling away from its last OB/OS reading in the opposite direction implies weakening momentum and increases probability.
Directional Momentum Velocity (DMV):
Computes a regression slope of hlc3 vs. bar index, normalized by ATR, then squashed with tanh.
Downward DMV boosts Top probability; upward DMV boosts Bottom probability.
Toggle the velocity plot and adjust its sensitivity with Velocity Lookback, ATR Length, and Velocity Gain.
All four terms are blended with user-set weights. If Normalize Weights is ON, weights are rescaled to sum to 1.
Inputs (most useful)
RSI Length / OB / OS: Core RSI setup.
Time Normalization (bars): Sets how quickly the “time since OB/OS” term ramps from 0→1.
Weights:
Price Delta, Time Since OB/OS, Osc Divergence, Directional Velocity.
Turn Normalize Weights ON to keep the blend consistent when you experiment.
Settings:
Velocity Lookback: Window for slope estimation (shorter = more reactive).
ATR Length: Normalizes slope so symbols/timeframes are comparable.
Velocity Gain: Steepens or softens the tanh curve (higher = punchier extremes).
Show Velocity (0–100): Toggles the DMV display.
Tip: If you prefer momentum measured on RSI rather than price, in the DMV block replace hlc3 with rsi (concept stays identical).
Practical tips
Use Top/Bottom % as context, not triggers. Combine with structure (S/R), trend filters, and risk management.
On strong trends, expect the opposite probability (e.g., Top % during an uptrend) to stay suppressed longer.
Calibrate weights: e.g., raise Osc Divergence on mean-reversion symbols; raise Velocity in trending markets.
For lower noise: lengthen Velocity Lookback and ATR Length, or reduce Velocity Gain.
Adaptive Convergence Divergence### Adaptive Convergence Divergence (ACD)
By Gurjit Singh
The Adaptive Convergence Divergence (ACD) reimagines the classic MACD by replacing fixed moving averages with adaptive moving averages. Instead of a static smoothing factor, it dynamically adjusts sensitivity based on price momentum, relative strength, volatility, fractal roughness, or volume pressure. This makes the oscillator more responsive in trending markets while filtering noise in choppy ranges.
#### 📌 Key Features
1. Dual Adaptive Structure: The oscillator uses two adaptive moving averages to form its convergence-divergence line, with EMA/RMA as signal line:
* Primary Adaptive (MA): Fast line, reacts quickly to changes.
* Following Adaptive (FAMA): Slow line, with half-alpha smoothing for confirmation.
2. Adaptive MA Types
* ACMO: Adaptive CMO (momentum)
* ARSI: Adaptive RSI (relative strength)
* FRMA: Fractal Roughness (volatility + fractal dimension)
* VOLA: Volume adaptive (volume pressure)
3. PPO Option: Switch between classic MACD or Percentage Price Oscillator (PPO) style calculation.
4. Signal Smoothing: Choose between EMA or Wilder’s RMA.
5. Visuals: Colored oscillator, signal line, histogram with adaptive transparency.
6. Alerts: Bullish/Bearish crossovers built-in.
#### 🔑 How to Use
1. Add to chart: Works on any timeframe and asset.
2. Choose MA Type: Experiment with ACMO, ARSI, FRMA, or VOLA depending on market regime.
3. Crossovers:
* Bullish (🐂): Oscillator crosses above signal → potential long entry.
* Bearish (🐻): Oscillator crosses below signal → potential short entry.
4. Histogram: expansion = strengthening trend; contraction = weakening trend.
5. Divergences:
* Bullish (hidden strength): Price pushes lower, but ACD turns higher = potential upward reversal.
* Bearish (hidden weakness): Price pushes higher, but ACD turns lower = potential downward reversal.
6. Customize: Adjust lengths, smoothing type, and PPO/MACD mode to match your style.
7. Set Alerts:
* Enable Bullish or Bearish crossover alerts to catch momentum shifts in real time.
#### 💡 Tips
* PPO mode normalizes values across assets, useful for cross-asset analysis.
* Wilder’s smoothing is gentler than EMA, reducing whipsaws in sideways conditions.
* Adaptive smoothing helps reduce false divergence signals by filtering noise in choppy ranges.
EMA Range OscillatorEMA Range Oscillator (ERO) - User Guide
Overview
The EMA Range Oscillator (ERO) is a technical indicator that measures the distance between two Exponential Moving Averages (EMAs) and the distance between price and EMA. It normalizes these distances into a 0-100 range, helping traders identify trend strength, market momentum, and potential reversal points.
Components
Main Line
Green Line: EMA20 > EMA50 (Uptrend)
Red Line: EMA20 < EMA50 (Downtrend)
Histogram
White Histogram: Price distance from EMA20
Key Levels
Upper Level (80): High divergence zone
Middle Level (50): Neutral zone
Lower Level (20): Low divergence zone
Parameters
ParameterDefaultDescriptionFast EMA20Short-term EMA periodSlow EMA50Long-term EMA periodNormalization Period100Lookback period for scalingUpper80Upper threshold levelLower20Lower threshold level
How to Read the Indicator
High Values (Above 80)
Strong trend in progress
EMAs are widely separated
High momentum
Potential overbought/oversold conditions
Watch for possible trend exhaustion
Low Values (Below 20)
Consolidation phase
EMAs are close together
Low volatility
Potential breakout setup
Range-bound market conditions
Middle Zone (20-80)
Normal market conditions
Moderate trend strength
Balanced momentum
Look for directional clues from color changes
