[R&D] Moving CentroidThis script utilizes this concept. Instead of weighting by volume, it weights by amount of price action on every close price of the rolling window. I assume it can be used as an additional reference point for price mode and price antimode.
it is directly connected with Market (not volume) profile, or TPO charts.
The algorithm:
1) takes a rolling window of, for example, 50 data points of close prices:
2) for each of this closing prices, the algorithm will check how many bars touched this close price.
3) then: sum of datapoints * weights/sum of weights
Since the logic is implemented in pretty non-efficient way, the script sometimes can take time to make calculations. Moreover, it calculates the centroid taking into account only close prices, not every tick. of a given rolling window That's why it's still experimental.
在腳本中搜尋"volume profile"
Trendgap strategyPrice action pattern with gap, imbalance and pivot. Simply used with volume profile. Calculating luqidity, volume on bar, price action patter.
[3Captain] Iron Dragon LineIntroducing the new indicator Iron Dragon Line.
Volume Profile (Visible Range) is expressed in solid lines.
The stronger the intensity, the more solid lines are superimposed, so it is expressed in bold.
It is based on a strategy of entering a solid line and clearing the dotted line.
When used with the " the korean secret sarunan" strategy, it is easy to identify and enter.
You can change the position of the dotted line through the source at the input.
As a result of back-testing, it was confirmed that high / low was advantageous in time frames of 15 minutes or less, and close was advantageous in higher frames.
신규 인디케이터 Iron Dragon Line 을 소개합니다.
Volume Profile (Visible Range)를 실선으로 표현했습니다.
강도가 강할수록 실선이 중첩되기 때문에 진하게 표현됩니다.
실선에서 진입을 하여 점선에 청산하는 전략을 기본으로 합니다.
input에 있는 소스를 통하여 점선의 위치를 변경할 수 있습니다.
백테스팅 결과 15분이하의 타임프레임에서 high/low가 유리했으며 높은 프레임일수록 close가 유리한것을 확인할 수 있었습니다.
GA - Value at RiskGA Value at Risk is a multifunctional tool. Its main purpose is to plot on the chart the Value at Risk . But it shows also integrated features related to the Volatility.
Value at Risk is a measure of the risk of loss for investments, given normal market conditions, in a period.
It measures and quantifies the level of financial risk. In this case, the risk is within position over a specific time frame.
Defining p as VaR, the probability of a loss greater than VaR is p, at most. Instead, the probability of loss that is less than VaR is 1-p, at least.
The VaR Breach occurs when a loss exceeds the VaR threshold .
For this case, VaR calculation uses the volatility estimation in a time interval. It defines the Probability Confidence according to the Normal Distribution. VaR is a percentile of the Normal Distribution. This is a multiplier of the Standard Deviation that define a Volatility Range.
The Normal Distribution Area around +- the Standard Deviation gives 68% of Confidence. 2 times the Standard Deviation returns a 95% of probability area. 3 time the Standard Deviation the Area returns 99.7% of Confidence.
Knowing VaR modeling, it is possible to determine the amount of a potential loss . Then, it is possible to know if there is enough capital to cover losses. In the same way, higher-than-acceptable risks forces reducing exposure in a financial instrument.
One of its practical use is to estimate the risk of an investment that is already at portfolio. Indeed, this is the purpose of the Value at Risk calculated in this script.
At the VaR Breach that investment has reached its worst scenario. Then, it can be the case to manage that investment into the balanced portfolio.
The Value at Risk does not tell when to enter the market.
Moving Averages
GA Value at Risk bases its calculations on a set of Moving Averages. Every feature of the script uses one of these Moving Averages for its algorithm.
Moving Averages from MA0 to MA8, are the core of each feature of the script.
By default, from MA0 to MA8, Moving Averages use the Fibonacci Series to define their lengths. This happens because of the power of the Golden Ratio in the market behavior.
Instead, the first moving average is an extra resource. Its purpose is to plot a Signal Line on the chart.
The script does not consider plotting every Moving Average on the chart. But it lets you enable the plotting of 7 Moving Averages (from MA0 to MA5 + Signal Line).
It is possible to select the Moving Average Formula to use in the script. This is a setting that affects every Moving Average. Then, it changes also the result of every feature of the script.
The selection is between:
Exponential Moving Average.
Simple Moving Average.
Weighted moving Average.
Simple Moving Averages and Pointers - Full Visibility
Moving Averages and Partial Visibility
The plotting of each Moving Average can be total or partial.
By default, the plotting of Moving Averages and Signal Line is partial.
When the price approaches a Moving Average a little part of the curve becomes visible. This highlights supports or resistances.
Besides, this tracking remains on the chart. Then it shows supports and resistances that the price reached during its progression.
The Partial Visibility Algorithm is a great advantage, ruling how to plot curves. It uses a parameter to set how much of the curves is to plot.
Exponential Moving Averages and Pointers - Partial Visibility
Exponential Moving Averages and Pointers - Full Visibility
Moving Averages and Pointers
As it is clear, it is not necessary to plot entire curves of Moving Averages on the chart. But it becomes relevant to plot Pointers to Moving Averages.
Indeed, the script plots horizontal segments that point to the latest Average Prices.
Every segment has a Label that shows Average Price, Length, and its related Moving Average (from MA0 to MA8). Besides, it is possible to extend the segment to right.
These pointers are a very useful automatization. They point to the Moving Averages. In this way, they show Dynamic Supports and Resistances as horizontal segments.
They are adaptive. Used together with the Volume Profile their progression approaches Edges of High Nodes.
This adaptive behavior makes easy to see when the price reaches Volume High Nodes and slows down.
Moving Average Pointers use the Partial Visibility Algorithm. In this case, the algorithm shows pointers with higher frequency than curves.
Moving Averages Pointers have:
Horizontal Segment as a Pointer with Arrow.
Label with details.
Circle to the current Average Price.
Weighted Moving Averages and Pointers - Full Visibility
Volatility Channels
Having Moving Averages, from MA0 to MA8, it is possible to plot 9 Volatility Channels.
Each Volatility Channel uses one of the Moving Averages, from MA0 to MA8.
Indeed, each Volatility Channel has the same designation of the Moving Average used.
The Standard Deviation defines the Volatility Range. It uses the length of the Moving Average related to the Volatility Channel.
The Volatility Range is unique for each Volatility Channel. In the same way, each Volatility Channel is unique because of its relation to only one Moving Average.
By default, each volatility channel has the 2 value as Standard Deviation Multiplier. This gives 95% of Confidence that the price will stay into the Volatility Range.
Using the Simple Moving Average, each Volatility Channel becomes a Bollinger Bands envelop.
Volatility Channels work very well even using Exponential or Weighted Moving Averages.
MA0 - Volatility Channel
Volatility Channels - From MA0 to MA8
Value at Risk (VaR)
GA Value at Risk plots VaR according to the volatility. The VaR plotting follows the Trend Momentum or Buying-Selling Waves.
By default, VaR follows the Trend Momentum by 2 times the Standard Deviation of MA0. Where MA0 is the first Moving Average and Volatility Channel of the set.
Besides, by default, the calculation of the Value at Risk is adaptive. It does not follow the Volatility Channel Bands. But it changes according to the fast reaction of the price into the Volatility Range.
By default, VaR follows the main momentum even if the price is moving in opposition to it. This occurs as long as the Trend Momentum persists.
In the settings box, It is possible to select the following of the latest Buying Wave or Selling Wave.
In this case, VaR changes according to the change of Buying Wave or Selling Wave. This means that, on these conditions, VaR follows main swings. Then it follows the weakening and the strengthening of the trend momentum as long as it persists.
The plotting of the Value at Risk can show these features:
Red cycle to show the Value at Risk at the current price.
Look Back Red Line that shows the progression of the Value at Risk.
Label with details.
MA0 - Value at Risk - Not Adaptive
MA0 - Value at Risk - Adaptive
It is possible to use a different Moving Average and Volatility Channel from the set. This affects the calculation and the plotting of the Value at Risk. In this way, the algorithm return the Value at Risk for the short, middle, or long-term.
Then, you can get the Value at Risk for that Financial Instrument, calculated for ~1 year or more so as for 1 month.
The Value at Risk does not tell you when to enter the market. Besides, it does not show you that the trend is changing.
MA3 - Value at Risk - Adaptive
Value at Profit (VaP)
The Value at Profit has a descriptive purpose. It points the Volatility Band that is opposite to the Value at Risk.
I chose Value at Profit as a designation for this feature. It does not tell you where to exit the market.
But is shows what the price progression is pointing on. This happens following the switching between Volatility Ranges.
The VaP follows the Volatility Band where the price tends to converge.
An outperforming or underperforming price is running faster than the average trend. Then when the price runs enough to converge to the Volatility Band, it is over extended or under extended.
At these conditions, the increased buying or selling pressure affects the price behavior. This slows down the price progression.
The Algorithm behind the Value at Profit is adaptive. Then the pointer jumps up and down the Volatility Bands of the 9 Volatility Channels. This occurs according to the price progression, following the switching between Volatility Ranges.
So, the VaP points a Volatility Band as long as the price can have chances to converges on it. Instead, when the price has chances to exceed the Volatility Band, the VaP points to the next one.
The plotting of the Value at Profit occurs enabling its Label with details.
Value at Profit - MA0 Volatility Channel Upper Band
Value at Profit - MA6 Volatility Channel Upper Band
Price Extension
When the price runs far away from the average trend price, GA Value at Risk can plot the price extension.
It shows the distance in percentage of the price from a Moving Average of the set. This tends to highlight conditions where the price is over or under extended.
An overbought or oversold condition precedes the shortening of the Trust. It is a cause of the hesitation of the price to continue its progression. This includes also Climactic Points and Signs of Dominance.
The Price Extension plotting uses a variation of the Partial Visibility Algorithm. It plots the Price Extension Arrow only when there are specific volatility conditions.
When the Partial Visibility is set to 0, the Price Extension Arrow is always visible on the chart.
The plotting of the Price Extension includes a Label with details.
Over Extension - The Price is Outperforming MA0
Under Extension - The Price is Underperforming MA0
Price Extension Coloring for Bars and Line Chart
GA Value at Risk lets you enable the coloring of vertical charts. Green and Red colors mark the over and under extended price on bars, candle sticks, and also on the Line Chart.
The Price Extension Algorithm colors Bars and Line Chart by a momentum function.
Indeed, the coloring happens following Relative Strength Index or Bollinger Bands %B.
These 2 Momentum functions are different. Indeed, they color the chart according to the purpose of their curves.
Coloring the Line Chart, it is necessary to put on front the script visibility.
Overbought and Oversold Conditions on Line Chart by Bollinger Bands %B
Overbought and Oversold Conditions on Candlesticks Chart by Relative Strength Index
Note: I restrict access to the tool. Use the links in my signature field to gain access to the script. Feel free to send me a PM for any question.
Thank you
Girolamo Aloe
Founder of Profiting Me Finance Analytics
-
Disclaimer
Nobody in Girolamo Aloe websites and trading view profile is a Financial Advisor. Nothing therein is intended to be constructed as Financial Advice. The content on his websites is for information and educational purposes only.
Trading carries high risk. You should not invest money that you cannot afford to lose. Past performance is not an indication of future results.
PpSignal Volume Profilethis indicator shows us the strength of the volume. green is buy signal an orange is sell signal.
The yellow signal is the net volueme. Net volume is a technical indicator calculated by subtracting a security's uptick volume by its downtick volume over a specified period of time.
when the volume buy is greater than the volume of sell the background change to aqua color. When the sell volume is greater than the buy volume, the background is painted orange ...
MULTITIMEFRAME_VWAP_MANOJVWAP is a powerful concept.
It denotes the fair price that is traded in the market.
In other words, it represents a variance of POINT OF CONTROL (POC) which is a Market Profile / Volume Profile Concept.
It is a leading indicator as it is dependent on the price and volume .
Usually VWAP is used for intraday trades and Trading view as an in built indicator which works only for intraday.
This script plots daily vwap , monthly vwap , quarterly vwap and yearly vwap .
The suggested combination is :
intraday charts - daily vwap
daily charts - monthly and / or quarterly vwap
weekly charts - quarterly and / or yearly vwap
Cvd Divergence Signals with filter.
CVD Divergence + Candles - False Signal Filter
Hey traders,
I want to share my custom indicator with you. Through testing, I've found that CVD (Composite Volume Delta) captures divergences much more accurately than traditional tools like RSI. But this isn't just another divergence indicator - I've added strict candlestick pattern confirmation to filter out false signals. I'll keep improving this tool over time, and I welcome all your suggestions in the comments.
How it works step-by-step:
1. First, it detects CVD divergences (the delta between buy/sell volumes)
2. Then confirms each signal with reversal candlestick patterns:
- Hammer/Hanging Man
- Engulfing
- Pin Bar
- Inside Bar
Why mine beats standard CVD indicators:
• No raw divergences - only shows signals confirmed by BOTH volume AND price action
• Eliminates 80% of junk signals from basic versions
• Adaptable to any asset and timeframe
Simple usage guide:
Green arrows = Buy when:
- CVD shows bullish divergence
- AND a hammer/pin bar appears
Red arrows = Sell when:
- CVD shows bearish divergence
- Confirmed by hanging man/engulfing pattern
Pro tip:
For best results, combine with:
• Volume profile analysis
• Smart Money concepts (order blocks, FVGs )
Important notes:
This isn't a holy grail - I personally use it with support/resistance levels. Works best on 5M charts for scalping.
**PS** Got questions? Drop them in comments!
Nexalgo SMC🔧 SMC (Smart Money Concepts) – Invite-Only Indicator
The SMC (Smart Money Concepts) indicator for TradingView is a tool that helps visualize price behavior based on institutional concepts and liquidity theory. It provides structural markers and volume-based zones in one script.
🧠 Key Components:
Order Blocks with Volume Metrics
Displays bullish and bearish order blocks along with volume-related information, helping to identify areas of possible accumulation or distribution.
Market Structure Analysis
BOS (Break of Structure)
CHoCH (Change of Character)
CHoCH+ (Extended CHoCH)
EQH/EQL (Equal Highs/Lows)
Imbalance Zones
Highlights price areas with visible inefficiencies between buying and selling pressure.
Premium & Discount Zones
Marks price regions considered relatively expensive (premium) or cheap (discount) based on recent swings.
Previous Highs & Lows
Plots historical key levels that may act as potential reaction zones.
Bullish/Bearish Dashboard
A dashboard summarizing the current directional bias based on structural elements.
Fixed Volume Profile
Displays a volume histogram over price to highlight high and low volume areas.
⚠️ Disclaimer:
This indicator is intended for market analysis purposes only. It does not constitute trading advice or guarantee performance. Users should evaluate all tools based on their own judgment and trading approach.
Liquidity Grab Detector (Stop Hunt Sniper) v2.2📌 Purpose
This indicator detects Stop Hunts (Liquidity Grabs) — false breakouts above/below recent highs or lows — filtered by trend direction, volatility, and volume conditions.
It is designed for scalpers and intraday traders who want to identify high-probability reversal zones.
🧠 How It Works
1. Key Logic
Detects previous swing high / swing low over the Lookback Bars.
Marks a false breakout when price moves beyond the level and closes back inside.
Requires a volume spike on the breakout to confirm liquidity sweep.
2. Trend Filter (EMA 50)
Bullish signals only if price is above EMA 50.
Bearish signals only if price is below EMA 50.
This removes most counter-trend stop hunts.
3. ADX Filter
Signals appear only when ADX < Max ADX (low-trend conditions).
This avoids false signals in strong trending markets.
📈 How to Use
Green Arrows: Bullish stop hunt (potential long entry).
Red Arrows: Bearish stop hunt (potential short entry).
Works best in range conditions, liquidity zones, or near session highs/lows.
Combine with order flow, volume profile, or price action for extra confirmation.
Recommended Timeframes: 1m–15m for scalping; 30m–1h for intraday.
Markets: Crypto, Forex, Indices.
⚙️ Inputs
Lookback Bars — swing detection
Volume Spike Multiplier
EMA Length (trend filter)
Min Retrace — how much price must return inside range
Max ADX — trend filter sensitivity
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly before live trading.
Hidden Liquidity Shift DetectorPurpose
The Hidden Liquidity Shift Detector identifies candles that indicate potential hidden accumulation or distribution activity based on volume and price action behavior. These setups often represent institutional absorption of liquidity ahead of larger moves.
How It Works
The script detects candles with the following characteristics:
Small real body relative to the total candle range
A strong wick (upper or lower) indicating rejection
Volume significantly higher than the recent average
It flags:
Hidden Selling (Distribution) when a bearish candle has a long upper wick and high volume
Hidden Buying (Accumulation) when a bullish candle has a long lower wick and high volume
These candles are often missed by traditional indicators but may precede significant reversals or breakouts.
Features
Automatic detection of absorption-style candles
Volume spike filtering based on configurable multiplier
Wick and body ratio thresholds to fine-tune signal quality
Non-intrusive signal markers (colored circles)
Real-time alerts for hidden buying/selling signals
Usage Tips
Use on 15m to 4H charts for intraday detection, or Daily for swing setups
Combine with support/resistance or volume profile zones for higher conviction
Clusters of signals in the same area increase reversal probability
Can be used alongside Wyckoff-style logic or smart money concepts
[Teyo69] T1 Wyckoff Aggressive A/D Setup📘 Overview
The T1 Wyckoff Aggressive A/D Setup is a dual-mode indicator that detects bullish accumulations and bearish distributions using core principles from the Wyckoff Method. It identifies price/volume behavior during Selling/Buying Climaxes, ARs, SOS/SOW, and triggers based on trend structure.
🔍 Features
✅ Automatic detection of:
Automatic Rally (AR)
Automatic Reaction (AR)
Sign of Strength (SOS) or Sign of Weakness (SOW)
🧠 Trend-sensitive logic with linear regression slope filters
⚙️ Configurable options for Reversal vs Trend Following mode
🎯 Smart structure timing filters using barssince() logic
🔊 Volume spike and wide-range candle detection
📊 Visual cues for bullish (green) and bearish (red) backgrounds
🛠 How to Use
Reversal Mode
Triggers early signals after a Climax + AR
Ideal for catching turning points during consolidations
Trend Following Mode
Requires Climax, AR, and confirmation (SOS or SOW)
Waits for structure confirmation before signaling
Use this when you want higher probability trades
⚙️ Configuration
Volume MA Length - Determines baseline volume to detect spikes
Wick % of Candle - Filters candles with long tails for SC/BC
Close Near Threshold - Ensures candles close near high/low
Breakout Lookback - Sets structure breakout level
Structure Threshold - Controls timing window for setups
Signal Option - Switch between Reversal or Trend Following mode
⚠️ Limitations
Doesn't confirm macro structure like full Wyckoff phase labeling (A–E)
May repaint on lower timeframes during volatile candles
Works best when combined with visual range recognition and market context
🧠 Advanced Tips
Use in confluence with:
Volume Profile ranges
Trendlines and supply/demand areas
Ideal timeframes: 8H to 1D for crypto and forex markets
Combine this with LPS/UTAD patterns for refined entries
📝 Notes
SC/AR/SOS = Bullish
BC/AR/SOW = Bearish
Trend coloring adapts background (green = rising slope, red = falling slope)
🛡️ Disclaimer
This tool is a market structure guide, not financial advice. Past behavior does not guarantee future performance. Always use proper risk management.
CVD Candlestick - Milana TradesThe CVD Candlestick indicator visualizes Cumulative Volume Delta (CVD) in the form of candlesticks, providing a deeper insight into intrabar buying and selling pressure.
Instead of plotting CVD as a simple line, this indicator displays it as a candle chart, allowing traders to analyze the momentum of volume delta just like price action.
How it Works
Delta is calculated as the difference between the bar’s close and open: delta = close - open.
Divergence + ICT-Based Confirmation
This indicator can be used effectively to detect CVD-price divergences, which may signal early signs of weakness in the current trend. When integrated with ICT (Inner Circle Trader) concepts, it becomes a powerful tool for precision-based trading setups.
CVD Divergence Logic:
A bearish divergence occurs when price makes a higher high while CVD makes a lower high — suggesting weakening buyer aggression.
A bullish divergence occurs when price makes a lower low while CVD makes a higher low — signaling potential seller exhaustion.
ICT Confirmation Methods:
After identifying divergence on CVD, traders may look for confirmation using ICT techniques, such as:
1) Liquidity sweeps (e.g. price takes out a prior high/low into a divergence zone)
2) Breaker blocks or order blocks aligning with the divergence area
3) Market structure shifts following divergence
4) Optimal Trade Entry (OTE) levels confluencing with CVD-based signals
Example Setup:
Identify divergence between price and CVD.
Wait for liquidity sweep or market structure break in the same zone.
Confirm entry with lower time frame precision, if needed.
Data Candle
CVD is computed as the cumulative sum of delta over time.
For each bar, a synthetic candlestick is generated based on:
CVD Open = previous CVD value
CVD Close = current CVD value
High/Low = relative range based on Open/Close
Candlestick color indicates whether buyers (green) or sellers (red) dominated the bar.
Note : This implementation uses price-based delta for simplicity and works universally across assets. For bid/ask-based delta, a feed with order book data is required, which is not accessible in Pine Script.
Use Cases
Identify divergences between price and volume delta
Confirm or question breakouts and trend strength
Use in combination with VWAP, volume profile, or liquidity zones
Analyze intrabar sentiment in a candlestick format
Features
CVD represented as full candlesticks
Clear color distinction for delta direction
Works on all symbols and timeframes
Lightweight and responsive
Math by Thomas Order Blocks🔥 Description:
🚀 Math by Thomas Order Blocks is a precision tool for Smart Money Concept (SMC) and price action traders, designed to automatically detect Bullish and Bearish Order Blocks (OBs). It highlights key institutional trading zones where large orders are placed, helping you identify potential reversal and continuation areas.
⚙️ Key Features:
✅ Automatic Order Block Detection:
Detects Bearish OBs when price sharply reverses after a significant bullish move.
Identifies Bullish OBs following a sharp reversal from a bearish push.
✅ Dynamic Sensitivity & Volume Filter:
Sensitivity Control: Customize OB detection precision.
Minimum Volume Filter: Ensures OBs form only on significant volume spikes.
✅ Flexible OB Mitigation:
Choose between "Close" or "Wick" mitigation for OB invalidation.
Mitigated OBs are automatically removed from the chart.
✅ Adaptive Swing & Price Change Detection:
Adjusts OB detection logic based on timeframe for flexibility.
Uses adaptive rate of change (ROC) calculations to spot momentum shifts.
✅ Visual Customization:
OBs are displayed as shaded boxes with configurable background and border colors.
Bullish OBs = Green (support zones).
Bearish OBs = Red (resistance zones).
✅ Alerts for OB Touch:
Get real-time alerts when price touches a Bullish or Bearish OB.
Helps you catch potential reversal points without constant chart monitoring.
📊 How It Works:
Bullish OB Logic:
Detected when price crosses over a positive momentum threshold (ROC) with high volume.
Plots a green OB box from the low of the swing candle.
Bearish OB Logic:
Identified when price crosses under a negative momentum threshold with high volume.
Plots a red OB box from the high of the swing candle.
Mitigation Rules:
OBs are removed once invalidated by price action based on your chosen mitigation type (Close or Wick).
📈 Usage Tips:
Use Bullish OBs as potential support areas for buy entries.
Treat Bearish OBs as resistance zones for sell setups.
Combine with Fair Value Gaps, volume profile, and RSI for confluence.
Adjust sensitivity and volume filters to fine-tune OB detection.
✅ Chart Example:
The script displays:
Bullish OBs in green, marking potential support zones.
Bearish OBs in red, indicating resistance zones.
Real-time alerts when price touches OBs.
🔥 Why Use This Indicator?
Designed for intraday and swing traders aiming to identify institutional trading zones.
Helps you spot reversal and continuation setups with precision.
Ideal for Smart Money Concept (SMC), price action, and order flow traders.
PivotBuilderOverview
PivotBuilder is a versatile trading tool that allows traders to create up to eight pivot lines, calculated using moving averages and standard deviation offsets, for enhanced market analysis and trade signal generation. These pivot lines work in conjunction with a trigger line to generate long and short signals based on user-defined parameters.
Key features:
Build strategies based on interaction between a moving average and any one or more of the 8 pivot lines - all fully configurable.
Customizable moving average types for pivot and trigger lines (SMA, EMA, VWMA).
Optional global pivot line configuration to simplify parameter adjustments.
Signal persistence options: signals can last for only one bar or until the opposite signal is issued.
Strategy visualization on chart.
Ideal for intraday and swing traders seeking dynamic support/resistance analysis and related strategies.
Key Concepts:
Customizable Pivot Lines
Create up to eight pivot lines with individually adjustable lengths, moving average types, and standard deviation offsets.
Optionally enable or disable signal generation for each pivot line.
Global Pivot Line Settings
Use a single global length for all pivot lines with one input for quicker configuration.
Signal Persistence
Choose between signals lasting only for the current bar or remaining active until the opposite signal is issued.
Chart Highlighting
Green background: Long signal is active.
Red background: Short signal is active.
Alerts
Configure alerts for signals via email, Discord, pop-ups, or sound using TradingView's native alert function.
Input Parameters
Global Settings:
Use Global Length for Pivot Lines: Enable this to apply a single length value to all pivot lines.
Global Pivot Line Length: The length to apply when the global setting is enabled.
Signal Mode:
Signal Mode: Select how long signals persist.
One Bar Only: Signals last only for the current bar.
Until Opposite Signal: Signals remain active until the opposite signal is triggered.
Trigger Line:
Trigger Line Moving Average Length: Set the length of the moving average for the trigger line.
Trigger Line MA Type: Choose the moving average type (Simple - SMA, Exponential - EMA, Volume-Weighted - VWMA).
Pivot Lines:
Each of the eight pivot lines has the following configurable settings:
Length: Define the moving average length. Overrides the global length if global settings are disabled.
MA Type: Choose between Simple - SMA, Exponential - EMA, Volume-Weighted - VWMA.
Standard Deviation: Set the standard deviation offset for the pivot line.
Enable Signal: Turn signal generation on/off for the specific pivot line.
Example Strategy on Nasdaq Futures (NQ, 1-minute Chart)
Long Signal:
A long signal is generated when:
The trigger line crosses above Pivot Line, Pivot Line 2, Pivot Line 3, and Pivot Line 4.
Short Signal:
A short signal is generated when:
The trigger line crosses below Pivot Line, Pivot Line 2, Pivot Line 3, and Pivot Line 4.
Configuration Example:
Global Settings:
Use Global Length for Pivot Lines: Disabled (to allow individual lengths for each pivot line).
Signal Mode: Until Opposite Signal (signals persist until the opposite signal is triggered).
Trigger Line:
Trigger Line Moving Average Length: 5.
Trigger Line MA Type: EMA (Exponential Moving Average).
Pivot Line 1:
Length: 20.
MA Type: EMA (Exponential Moving Average).
Standard Deviation: 0.25.
Enable Signal: True.
Pivot Line 2:
Length: 50.
MA Type: EMA (Exponential Moving Average).
Standard Deviation: -0.5.
Enable Signal: True.
Pivot Line 3:
Length: 50.
MA Type: EMA (Exponential Moving Average).
Standard Deviation: 1.
Enable Signal: True.
Pivot Line 4:
Length: 40.
MA Type: EMA (Exponential Moving Average).
Standard Deviation: 2.0.
Enable Signal: True.
Set Pivot Lines 5-8 disabled.
Signals:
Green Highlight: Indicates a long signal is active.
Red Highlight: Indicates a short signal is active.
Alerts
PivotBuilder allows you to set alerts for long or short signals. Here’s how to set them up in TradingView:
Add the Indicator: Attach PivotBuilder to your chart.
Open Alert Menu: Right-click on the chart and select Add Alert.
Condition: Choose your symbol (e.g., NQ) and select PivotBuilder.
Alert Options:
Crossing: Choose if you want to be alerted for "long" or "short" signals.
Notifications: Configure alerts via:
Email: Receive email alerts when signals are triggered.
Webhook: Set up Discord notifications via webhooks.
Pop-ups: Show an on-screen alert in TradingView.
Sound: Play a sound when a signal is issued.
Create: Save the alert.
Signal Persistence: How It Works
PivotBuilder gives you control over how long signals remain active:
One Bar Only:
Signals are active for the current bar only.
At the close of the bar, signals reset automatically.
Until Opposite Signal:
A long signal remains active until a short signal is triggered and vice versa.
Useful for trend-following strategies.
Development Roadmap
Future updates for PivotBuilder will include:
New Moving Average Types: Expand the available moving average options for both the pivot and trigger lines. Planned additions include, Weighted Moving Average (WMA), Hull Moving Average (HMA), Least Squares Moving Average (LSMA), and more.
Dynamic Volume Filtering: Add volume-based conditions to validate signals during periods of high market activity, filtering out low-liquidity signals.
Incorporation of Support/Resistance Calculations: Integrate traditional and alternative methods of support and resistance calculations into pivot lines such as Fibonacci retracements, Average True Range (ATR), volume-profile based support.
Automated trading via Strategy companion add-on.
300-Candle Weighted Average Zones w/50 EMA SignalsThis indicator is designed to deliver a more nuanced view of price dynamics by combining a custom, weighted price average with a volatility-based zone and a trend filter (in this case, a 50-period exponential moving average). The core concept revolves around capturing the overall price level over a relatively large lookback window (300 candles) but with an intentional bias toward recent market activity (the most recent 20 candles), thereby offering a balance between long-term context and short-term responsiveness. By smoothing this weighted average and establishing a “zone” of standard deviation bands around it, the indicator provides a refined visualization of both average price and its recent volatility envelope. Traders can then look for confluence with a standard trend filter, such as the 50 EMA, to identify meaningful crossover signals that may represent trend shifts or opportunities for entry and exit.
What the Indicator Does:
Weighted Price Average:
Instead of using a simple or exponential moving average, this indicator calculates a custom weighted average price over the past 300 candles. Most historical candles receive a base weight of 1.0, but the most recent 20 candles are assigned a higher weight (for example, a weight of 2.0). This weighting scheme ensures that the calculation is not simply a static lookback average; it actively emphasizes current market conditions. The effect is to generate an average line that is more sensitive to the most recent price swings while still maintaining the historical context of the previous 280 candles.
Smoothing of the Weighted Average:
Once the raw weighted average is computed, an exponential smoothing function (EMA) is applied to reduce noise and produce a cleaner, more stable average line. This smoothing helps traders avoid reacting prematurely to minor price fluctuations. By stabilizing the average line, traders can more confidently identify actual shifts in market direction.
Volatility Zone via Standard Deviation Bands:
To contextualize how far price can deviate from this weighted average, the indicator uses standard deviation. Standard deviation is a statistical measure of volatility—how spread out the price values are around the mean. By adding and subtracting one standard deviation from the smoothed weighted average, the indicator plots an upper band and a lower band, creating a zone or channel. The area between these bands is filled, often with a semi-transparent color, highlighting a volatility corridor within which price and the EMA might oscillate.
This zone is invaluable in visualizing “normal” price behavior. When the 50 EMA line and the weighted average line are both within this volatility zone, it indicates that the market’s short- to mid-term trend and its average pricing are aligned well within typical volatility bounds.
Incorporation of a 50-Period EMA:
The inclusion of a commonly used trend filter, the 50 EMA, adds another layer of context to the analysis. The 50 EMA, being a widely recognized moving average length, is often considered a baseline for intermediate trend bias. It reacts faster than a long-term average (like a 200 EMA) but is still stable enough to filter out the market “chop” seen in very short-term averages.
By overlaying the 50 EMA on this custom weighted average and the surrounding volatility zone, the trader gains a dual-dimensional perspective:
Trend Direction: If the 50 EMA is generally above the weighted average, the short-term trend is gaining bullish momentum; if it’s below, the short-term trend has a bearish tilt.
Volatility Normalization: The bands, constructed from standard deviations, provide a sense of whether the price and the 50 EMA are operating within a statistically “normal” range. If the EMA crosses the weighted average within this zone, it signals a potential trend initiation or meaningful shift, as opposed to a random price spike outside normal volatility boundaries.
Why a Trader Would Want to Use This Indicator:
Contextualized Price Level:
Standard MAs may not fully incorporate the most recent price dynamics in a large lookback window. By weighting the most recent candles more heavily, this indicator ensures that the trader is always anchored to what the market is currently doing, not just what it did 100 or 200 candles ago.
Reduced Whipsaw with Smoothing:
The smoothed weighted average line reduces noise, helping traders filter out inconsequential price movements. This makes it easier to spot genuine changes in trend or sentiment.
Visual Volatility Gauge:
The standard deviation bands create a visual representation of “normal” price movement. Traders can quickly assess if a breakout or breakdown is statistically significant or just another oscillation within the expected volatility range.
Clear Trade Signals with Confirmation:
By integrating the 50 EMA and designing signals that trigger only when the 50 EMA crosses above or below the weighted average while inside the zone, the indicator provides a refined entry/exit criterion. This avoids chasing breakouts that occur in abnormal volatility conditions and focuses on those crossovers likely to have staying power.
How to Use It in an Example Strategy:
Imagine you are a swing trader looking to identify medium-term trend changes. You apply this indicator to a chart of a popular currency pair or a leading tech stock. Over the past few days, the 50 EMA has been meandering around the weighted average line, both confined within the standard deviation zone.
Bullish Example:
Suddenly, the 50 EMA crosses decisively above the weighted average line while both are still hovering within the volatility zone. This might be your cue: you interpret this crossover as the 50 EMA acknowledging the recent upward shift in price dynamics that the weighted average has highlighted. Since it occurred inside the normal volatility range, it’s less likely to be a head-fake. You place a long position, setting an initial stop just below the lower band to protect against volatility.
If the price continues to rise and the EMA stays above the average, you have confirmation to hold the trade. As the price moves higher, the weighted average may follow, reinforcing your bullish stance.
Bearish Example:
On the flip side, if the 50 EMA crosses below the weighted average line within the zone, it suggests a subtle but meaningful change in trend direction to the downside. You might short the asset, placing your protective stop just above the upper band, expecting that the statistically “normal” level of volatility will contain the price action. If the price does break above those bands later, it’s a sign your trade may not work out as planned.
Other Indicators for Confluence:
To strengthen the reliability of the signals generated by this weighted average zone approach, traders may want to combine it with other technical studies:
Volume Indicators (e.g., Volume Profile, OBV):
Confirm that the trend crossover inside the volatility zone is supported by volume. For instance, an uptrend crossover combined with increasing On-Balance Volume (OBV) or volume spikes on up candles signals stronger buying pressure behind the price action.
Momentum Oscillators (e.g., RSI, Stochastics):
Before taking a crossover signal, check if the RSI is above 50 and rising for bullish entries, or if the Stochastics have turned down from overbought levels for bearish entries. Momentum confirmation can help ensure that the trend change is not just an isolated random event.
Market Structure Tools (e.g., Pivot Points, Swing High/Low Analysis):
Identify if the crossover event coincides with a break of a previous pivot high or low. A bullish crossover inside the zone aligned with a break above a recent swing high adds further strength to your conviction. Conversely, a bearish crossover confirmed by a breakdown below a previous swing low can make a short trade setup more compelling.
Volume-Weighted Average Price (VWAP):
Comparing where the weighted average zone lies relative to VWAP can provide institutional insight. If the bullish crossover happens while the price is also holding above VWAP, it can mean that the average participant in the market is in profit and that the trend is likely supported by strong hands.
This indicator serves as a tool to balance long-term perspective, short-term adaptability, and volatility normalization. It can be a valuable addition to a trader’s toolkit, offering enhanced clarity and precision in detecting meaningful shifts in trend, especially when combined with other technical indicators and robust risk management principles.
Adaptive Range Breakout (ARB) IndicatorTitle: Adaptive Range Breakout (ARB) Indicator – Enhanced Mean Reversion with Dynamic Support/Resistance
Overview: The Adaptive Range Breakout (ARB) Indicator is designed to help traders identify potential mean reversion and breakout opportunities by leveraging a dynamic range based on recent price action and volatility. This script combines key elements such as Volume Profile analysis, ATR-based volatility adjustments, and an EMA trend filter to create a robust and adaptive trading tool. It aims to capture both trend continuations and reversals while filtering out noise in choppy markets.
Justification for Combining Components:
HVN (High Volume Node):
The core of this indicator is built around a custom VWAP calculation over a defined lookback period, which serves as the HVN line (High Volume Node). The HVN represents a volume-weighted average price, highlighting key levels where significant trading activity has occurred. These levels often act as areas of support or resistance, providing a reliable reference point for traders.
ATR-Based Dynamic Support and Resistance:
The Average True Range (ATR) is used to adjust the adaptive support and resistance levels around the HVN line. This ensures that the levels dynamically respond to changes in market volatility. The use of ATR helps filter out insignificant price movements and focuses on significant shifts in momentum, making the indicator adaptive to different market conditions.
EMA Trend Filter:
An Exponential Moving Average (EMA) is applied as a trend filter to distinguish between trending and range-bound market conditions. This filter helps in identifying whether the price movement is in line with the overall trend or if a potential reversal is more likely. By using the EMA crossover signals, the indicator can provide additional confirmation before generating buy or sell signals.
Adaptive Breakout and Mean Reversion Signals:
The indicator generates buy and sell signals based on the interaction between the price and the adaptive support/resistance levels. It incorporates a volatility filter to ensure that signals are only triggered when the market is sufficiently volatile, reducing the likelihood of false signals during low-volatility periods. Additionally, a cooldown period is implemented to prevent consecutive signals in quick succession, enhancing signal reliability.
Key Features:
Dynamic Range Levels: The adaptive support and resistance levels adjust based on recent price action and volatility, providing reliable areas for potential reversals or breakouts.
Volume-Weighted Analysis: The HVN line, derived from a custom VWAP calculation, highlights key price levels with significant trading activity, helping identify zones of support/resistance.
Trend Confirmation: The EMA trend filter helps differentiate between trend-following and mean-reversion signals, providing context for the generated buy and sell signals.
Volatility Filtering: The indicator uses ATR to gauge market volatility, ensuring signals are only generated during active market conditions.
Signal Cooldown: A customizable cooldown period reduces noise by spacing out signals, especially in choppy market environments.
Use Case:
The Adaptive Range Breakout (ARB) Indicator is suitable for traders looking to capitalize on both breakouts and mean-reversion opportunities. It is particularly useful in:
Range-Bound Markets: The adaptive support and resistance levels help capture reversals in range-bound conditions.
Trending Markets: The trend filter and breakout logic allow traders to follow momentum when the price breaks through key adaptive levels.
Intraday and Swing Trading: The dynamic nature of the indicator makes it applicable across different timeframes, catering to both intraday and swing traders.
Important Considerations:
This indicator does not guarantee future performance or provide an infallible prediction of price movements. It is a tool intended to support traders in their decision-making process based on historical price action and market conditions.
The effectiveness of the signals may vary depending on the asset, market conditions, and timeframe used. It is recommended to backtest the indicator and use it alongside other analysis techniques.
Always exercise caution and use appropriate risk management strategies when trading based on signals generated by this indicator.
Alerts: The indicator includes built-in alerts for:
Buy Signal Alert: Triggered when the price crosses above the adaptive support level, suggesting a potential reversal or continuation in an uptrend.
Sell Signal Alert: Triggered when the price crosses below the adaptive resistance level, indicating a potential reversal or continuation in a downtrend.
EMA Crossover Alerts: Alerts for EMA crossover signals, providing additional trend confirmation.
This script is a comprehensive tool designed to adapt to market conditions dynamically, combining multiple techniques to create a well-rounded approach to identifying trading opportunities. We encourage users to integrate it into their broader trading strategy and apply it with caution, understanding its strengths and limitations.
Price Action UltimateThe Price Action Ultimate indicator is an innovative tool designed to provide traders with a comprehensive view of price action based on either volume or touches. By default, the indicator displays touches, offering a unique perspective on price levels that have been frequently interacted with by the market.
At its core, the indicator divides the price range of a specified lookback period into a number of rows (default 25). For each row, it calculates either the volume traded or the number of times the price touched that level. This data is then visualized in two ways: as a histogram and as horizontal lines on the chart.
The histogram, displayed on the right side of the chart, represents the distribution of touches (or volume) across different price levels. Each bar in the histogram shows the number of touches and the percentage of total touches for that price level. The color of the bars ranges from a user-defined low activity color to a high activity color, providing a quick visual reference for the most active price levels.
The horizontal lines drawn across the chart represent the most significant levels based on touches (or volume). By default, the indicator displays the top 3 levels, but this can be adjusted. The thickness of these lines corresponds to the relative importance of each level - thicker lines indicate more touches or higher volume. This feature allows traders to quickly identify key support and resistance levels based on historical price action.
One of the most innovative aspects of this indicator is the option to fade older levels over time. When enabled, this feature gradually increases the transparency of lines as they age, with newer levels appearing more prominently. This helps traders focus on the most recent and relevant price action while still maintaining awareness of older, potentially significant levels.
The indicator offers flexibility in its display options. Users can choose to show levels based on volume, touches, or both. This allows traders to compare and contrast different perspectives on price action. Additionally, the indicator includes options to display a volume profile and a background fill for the analysis range, further enhancing its visual appeal and informational content.
What makes this indicator particularly valuable is its ability to provide a clear, uncluttered view of key price levels without relying on complex calculations or multiple indicators. It distills price action down to its essence - where price has spent the most time or where the most trading activity has occurred. This can be incredibly useful for identifying potential support and resistance levels, areas of consolidation, or possible breakout points.
For traders focused on price action strategies, this indicator offers a powerful tool to enhance their analysis. It provides a data-driven approach to identifying significant price levels, which can be used to inform entry and exit decisions, set stop losses, or anticipate potential market reactions.
This indicator is a tool to aid in market analysis and should not be used as the sole basis for trading decisions. Always combine multiple forms of analysis and practice proper risk management when trading. Past performance does not guarantee future results.
Uptrick: Market MoodsThe "Uptrick: Market Moods" indicator is an advanced technical analysis tool designed for the TradingView platform. It combines three powerful indicators—Relative Strength Index (RSI), Average True Range (ATR), and Bollinger Bands—into one cohesive framework, aimed at helping traders better understand and interpret market sentiment. By capturing shifts in the emotional climate of the market, it provides a holistic view of market conditions, which can range from calm to stressed or even highly excited. This multi-dimensional analysis tool stands apart from traditional single-indicator approaches by offering a more complete picture of market dynamics, making it a valuable resource for traders looking to anticipate and react to changes in market behavior.
The RSI in the "Uptrick: Market Moods" indicator is used to measure momentum. RSI is an essential component of many technical analysis strategies, and in this tool, it is used to identify potential market extremes. When RSI values are high, they indicate an overbought condition, meaning the market may be approaching a peak. Conversely, low RSI values suggest an oversold condition, signaling that the market could be nearing a bottom. These extremes provide crucial clues about shifts in market sentiment, helping traders gauge whether the current emotional state of the market is likely to result in a reversal. This understanding is pivotal in predicting whether the market is transitioning from calm to stressed or from excited to overbought.
The Average True Range adds another layer to this analysis by offering insights into market volatility. Volatility is a key factor in understanding the mood of the market, as periods of high volatility often reflect high levels of excitement or stress, while low volatility typically indicates a calm, steady market. ATR is calculated based on the range of price movements over a given period, and the higher the value, the more volatile the market is. The "Uptrick: Market Moods" indicator uses ATR to dynamically gauge volatility levels, helping traders understand whether the market is currently moving in a way that aligns with its emotional mood. For example, an increase in ATR accompanied by an RSI value that indicates overbought conditions could suggest that the market is in a highly excited state, with the potential for either strong momentum continuation or a sharp reversal.
Bollinger Bands complement these tools by providing visual cues about price volatility and the range within which the market is likely to move. Bollinger Bands plot two standard deviations away from a simple moving average of the price. This banding technique helps traders visualize how far the price is likely to deviate from its average over a certain period. The "Uptrick: Market Moods" indicator uses Bollinger Bands to establish price boundaries and identify breakout conditions. When prices break above the upper band or below the lower band, it often signals that the market is either highly stressed or excited. This breakout condition serves as a visual representation of the market mood, alerting traders to moments when prices are moving beyond typical ranges and when significant emotional shifts are occurring in the market.
Technically, the "Uptrick: Market Moods" indicator has been developed using TradingView’s Pine Script language, a highly efficient language for building custom indicators. It employs functions like ta.rsi, ta.atr, and ta.sma to perform the necessary calculations. The use of these built-in functions ensures that the calculations are both accurate and efficient, allowing the indicator to operate in real-time without lagging, even in volatile market conditions. The ta.rsi function is used to compute the Relative Strength Index, while ta.atr calculates the Average True Range, and ta.sma is used to smooth out price data for the Bollinger Bands. These functions are applied dynamically within the script, allowing the "Uptrick: Market Moods" indicator to respond to changes in market conditions in real time.
The user interface of the "Uptrick: Market Moods" indicator is designed to provide a visually intuitive experience. The market mood is color-coded on the chart, making it easy for traders to identify whether the market is calm, stressed, or excited at a glance. This feature is especially useful for traders who need to make quick decisions in fast-moving markets. Additionally, the indicator includes an interactive table that updates in real-time, showing the most recent mood state and its frequency. This provides valuable statistical insights into market behavior over specific time frames, helping traders track the dominant emotional state of the market. Whether the market is in a prolonged calm state or rapidly transitioning through moods, this real-time feedback offers actionable data that can help traders adjust their strategies accordingly.
The RSI component of the "Uptrick: Market Moods" indicator helps detect the speed and direction of price movements, offering insight into whether the market is approaching extreme conditions. By providing signals based on overbought and oversold levels, the RSI helps traders decide whether to enter or exit positions. The ATR element acts as a volatility gauge, dynamically adjusting traders’ expectations in response to changes in market volatility. Meanwhile, the Bollinger Bands help identify trends and potential breakout conditions, serving as an additional confirmation tool that highlights when the price has moved beyond normal boundaries, indicating heightened market excitement or stress.
Despite the robust capabilities of the "Uptrick: Market Moods" indicator, it does have limitations. In markets affected by sudden shifts, such as those driven by major news events or external economic factors, the indicator’s performance may not always be reliable. These external factors can cause rapid mood swings that are difficult for any technical analysis tool to fully anticipate. Additionally, the indicator’s complexity may pose a learning curve for novice traders, particularly those who are unfamiliar with the concepts of RSI, ATR, and Bollinger Bands. However, with practice, traders can become proficient in using the tool to its full potential, leveraging the insights it provides to better navigate market shifts.
For traders seeking a deeper understanding of market sentiment, the "Uptrick: Market Moods" indicator is an invaluable resource. It is recommended for those dealing with medium to high volatility instruments, where understanding emotional shifts can offer a strategic advantage. While it can be used on its own, integrating it with other forms of analysis, such as fundamental analysis and additional technical indicators, can enhance its effectiveness. By confirming signals with other tools, traders can reduce the likelihood of false signals and improve their overall trading strategy.
To further enhance the accuracy of the "Uptrick: Market Moods" indicator, it can be integrated with volume-based tools like Volume Profile or On-Balance Volume (OBV). This combination allows traders to confirm the moods identified by the indicator with volume data, providing additional confirmation of market sentiment. For example, when the market is in an excited mood, an increase in trading volume could reinforce the reliability of that signal. Conversely, if the market is stressed but volume remains low, traders may want to proceed with caution. Using multiple indicators together creates a more comprehensive trading approach, helping traders better manage risk and make informed decisions based on multiple data points.
In conclusion, the "Uptrick: Market Moods" indicator is a powerful and unique addition to the suite of technical analysis tools available on TradingView. It provides traders with a multi-dimensional view of market sentiment by combining the analytical strengths of RSI, ATR, and Bollinger Bands into a single tool. Its ability to capture and interpret the emotional mood of the market makes it an essential tool for traders seeking to gain an edge in understanding market behavior. While the indicator has certain limitations, particularly in rapidly shifting markets, its ability to provide real-time insights into market sentiment is a valuable asset for traders of all experience levels. Used in conjunction with other tools and sound trading practices, the "Uptrick: Market Moods" indicator offers a comprehensive solution for navigating the complexities of financial markets.
nPOC Levels by Tyler### Explanation of the Pine Script
This Pine Script identifies and displays weekly naked Points of Control (nPOCs) on a TradingView chart. An nPOC represents a Point of Control (POC) from a previous week that has not been revisited by price action in subsequent weeks. These nPOCs are extended to the right as horizontal lines, indicating potential support or resistance levels.
#### Script Overview
1. **Indicator Declaration:**
```pinescript
//@version=5
indicator("Weekly nPOCs", overlay=true)
```
- The script is defined as a version 5 Pine Script.
- The `indicator` function sets the script's name ("Weekly nPOCs") and specifies that the indicator should be overlaid on the price chart (`overlay=true`).
2. **Function to Calculate POC:**
```pinescript
f_poc(_hl2, _vol) =>
var float vol_profile = na
if (na(vol_profile))
vol_profile := array.new_float(100, 0.0)
_bin_size = (high - low) / 100
for i = 0 to 99
if _hl2 >= low + i * _bin_size and _hl2 < low + (i + 1) * _bin_size
array.set(vol_profile, i, array.get(vol_profile, i) + _vol)
max_volume = array.max(vol_profile)
poc_index = array.indexof(vol_profile, max_volume)
poc_price = low + poc_index * _bin_size + _bin_size / 2
poc_price
```
- The function `f_poc` calculates the Point of Control (POC) for a given period.
- It takes two parameters: `_hl2` (the average of the high and low prices) and `_vol` (volume).
- A volume profile array (`vol_profile`) is initialized to store volume data across different price bins.
- The price range between the high and low is divided into 100 bins (`_bin_size`).
- The function iterates over each bin, accumulating the volumes for prices within each bin.
- The bin with the maximum volume is identified as the POC (`poc_price`).
3. **Variables to Store Weekly Data:**
```pinescript
var float poc = na
var float prev_poc = na
var line poc_lines = na
if na(poc_lines)
poc_lines := array.new_line(0)
```
- `poc` stores the current week's POC.
- `prev_poc` stores the previous week's POC.
- `poc_lines` is an array to store lines representing nPOCs. The array is initialized if it is `na` (not initialized).
4. **Calculate Weekly POC:**
```pinescript
is_new_week = ta.change(time('W')) != 0
if (is_new_week)
prev_poc := poc
poc := f_poc(hl2, volume)
if not na(prev_poc)
line new_poc_line = line.new(x1=bar_index, y1=prev_poc, x2=bar_index + 100, y2=prev_poc, color=color.red, width=2)
label.new(x=bar_index, y=prev_poc, text="nPOC", style=label.style_label_down, color=color.red, textcolor=color.white)
array.push(poc_lines, new_poc_line)
```
- `is_new_week` checks if the current bar is the start of a new week using the `ta.change(time('W'))` function.
- If it's a new week, the previous week's POC is stored in `prev_poc`, and the current week's POC is calculated using `f_poc`.
- If `prev_poc` is not `na`, a new line (`new_poc_line`) representing the nPOC is created, extending it to the right (for 100 bars).
- A label is created at the `prev_poc` level, marking it as "nPOC".
- The new line is added to the `poc_lines` array.
5. **Remove Old Lines:**
```pinescript
if array.size(poc_lines) > 52
line.delete(array.shift(poc_lines))
```
- This section ensures that only the last 52 weeks of nPOCs are kept to avoid cluttering the chart.
- If the `poc_lines` array contains more than 52 lines, the oldest line is deleted using `array.shift`.
6. **Plot the Current Week's POC as a Reference:**
```pinescript
plot(poc, title="Current Weekly POC", color=color.blue, linewidth=2, style=plot.style_line)
```
- The current week's POC is plotted as a blue line on the chart for reference.
#### Summary
This script calculates and identifies weekly Points of Control (POCs) and marks them as nPOCs if they remain untouched by subsequent price action. These nPOCs are displayed as horizontal lines extending to the right, providing traders with potential support or resistance levels. The script also manages the number of lines plotted to maintain a clear and uncluttered chart.
EXOFADEEXOFADE is an incredible trading indicator designed help give traders a visual clue of price momentum by combining Linear regression calculations with volume.
Overview:
ExoFade is a unique and dynamic trading indicator designed for both beginner and professional traders. At its core, it uses a sophisticated blend of multiple linear regression analysis, incorporating price, time, and volume-weighted moving average (VWMA) to predict potential price movements. By analyzing these key factors, EXOFade offers an innovative approach to understanding market trends and identifying trade opportunities.
Why It Works:
ExoFade works by calculating a regression line that adapts to market conditions, factoring in both price trends and trading volumes. This approach provides a more nuanced view of market momentum, going beyond traditional price-only indicators. The inclusion of time as a variable offers unique insights into market dynamics, making ExoFade a valuable tool for various trading strategies.
Key Features to Look Out For:
Regression Line: The heart of ExoFade, offering visual cues about the market's direction.
ATR-Based Fade Levels: Utilizes Average True Range (ATR) to set dynamic levels that signal potential reversals or continuation. The indicator comes with three fade levels, which are described below
Alert Conditions: You can set up for alerts for when any of the fade levels have been been reached, indicating potential entry points.
What Are Fade Levels And How To Use The Enter Trades:
The exofade line always moves with price, this indicates that the current volume is moving in the same direction.
When you see the exofade start to move ahead of price. For example, in an Uptrend, if price stops making new highs and you see the exofade line continue moving up ahead of price as price stagnates, this is the first time that you should be expecting pull back or reversal. When the line starts to visibly curve, this when you want to enter the trade.
Sometimes, the exofade line will move just a little bit ahead of price, and sometimes it will move a clear distance ahead of price.
From my experience, the further ahead it moves from price without price keeping up, the higher the probability of a pullback or reversal.
The actual pullback then starts when the exofade line starts to curve, which signifies the start if the actual pullback.
Since we cannot sit and watch for when the line has either moved further ahead enough or started to curve, thats why i figured to use ATR as the best way to measure the distance the exofade line moves ahead of price and the ATR also happens to measure Volatility, which makes it a perfect match.
From forward testing this for months, i have found the pullbacks typically start when the exofade line has moved ahead of price by atleast 2 ATR's. A distance of 2 ATR and above are the ones i consider the best setups. This also marks the point for your stop loss, since 2 ATR is generally used stoploss level.
To catch and sell a pullback in an uptrend, you can set alert for one or both of these alerts
Fade Level 2 abv price - This alert will trigger once Exofade line reached 2 ATR ABOVE price (Just means it has reached 2 atr, dosent mean it has started curving yet)
Curve lvl 2 - SELL - This alert means the exofade line has started to curve at 2 ATR
To buy pullbacks in a downtrend you set the opposite alerts of the one above for curve below price
There are also same alerts for level 3 as well, which is 2.5 ATR
IMPORTANT NOTES - DONT SKIP THIS
For daily and intra-day swings - Use this on 1hr trend upwards - The exofade line much slower on higher timeframe, so when you get a curve on a high time frame, like the 4HR or Daily timeframe, those are excellent signals
For scalpers trading 1hr below - The exofade moves faster on lower timeframes, so more caution should be used with these on lower timeframes , you this with other confluences like a good momentum oscillator oversold/overbought regions StochRSI, MACD etc
EXTRA TIPS
- Since the curve forms slower on higher time frames, it means getting a curve the on daily and weekly chart can help in your trend analysis to detect early signs of potential trend reversals
-I typically pair this with my customized version of Nadaraya watsons envelope ( a free indicator on tradingview) It will further improve your entry and winrate. Biggest advantage is for setting a profit target. In a buy trade for example, you buy the curve below price and set your profit target for the top band of the nadaraya watson envelope. Very efficient for scalping
- Unique areas were you want to pay attention to the exofade is when price enters points of interest, this depending on your trading style could be a
-FVG - fair value gaps
-Order blocks
- Supply / Demand areas
-Volume profile Value area High and Value area Low
The are two scenarios i would like you to be cautious of
1. As with every indicator and strategy, i most definitely wouldn't use this during high impact news.
2. If price is trending very strongly in one direction only, such that even barely gives any decent pull backs at all. Most especially if that strong push is happening between the 4hr to Daily time frame. Do not attempt to counter those trends unless you know what you are doing. Its not advisable.
Instead i'll recommend using the Exofade to catch an entry in the direction of the trade for a continuation.
And Lastly
Since this indicator uses VOLUME data as part of its calculations. It will not work on any pairs that tradingview does not provide volume data for, like Gold. But it will work normally on Gold Futures, since that has volume data
PhantomFlow DynamicLevelsThe PhantomFlow Dynamic Levels indicator analyzes the dynamic volume over the period specified in the Period field. Channel boundaries can be used as dynamic support and resistance levels when trading within a range. The POC level also serves as a level at which the price may react during trend movements. The Period Multiplier parameter affects how many dynamic levels will be displayed. The Accuracy parameter influences the precision of volume calculations.
These levels are crucial for intraday traders as they serve as support or resistance. The Value Area zone includes 70% of the traded volume over the selected period. In other words, it represents the price region where the majority of traders believe the fair value for the asset lies.
The indicator's name, Dynamic Levels, aptly captures its essence. It analyzes trading volume at various price levels, tracking the sentiment dynamics of traders. When the asset's price decreases or increases as a result of trading, the Dynamic Levels indicator displays a new level on the chart. This results in a plotted line on the chart, allowing us to observe the movement dynamics of both the value area and the maximum volume level.
Standard indicators do not provide real-time visibility into level shifts, making the use of the Dynamic Levels indicator a competitive advantage in market trading across any time frame.
We borrowed the volume profile calculation code from @LonesomeTheBlue. Thank you for the work done!
Professional Zones - Institutional Demand and Supply Imbalances
Intro to Supply and Demand Zone Technical Analysis
Supply and demand is an increasingly common strategy among day and swing traders in equity, forex, and the futures markets. The goal of analyzing supply and demand zones is to pre-determine where price action may pivot before that pivot happens, thus giving us an edge over the market. There are many unique charting/trading strategies that fit under the supply and demand umbrella, however we are going to focus primarily on Institutional Zones of Demand and Supply Imbalances, as this is what our TradingView indicator actively displays.
What are Institutional Zones of Demand and Supply Imbalances?
First, let’s break down the phrase above. The first word is ‘institutional’, which is a key aspect in our trading. As a retail trader, you must understand that retail traders (individual traders like you and I) have very little control and very little effect on price action in the major markets. The price action that we see everyday is caused by large institutions and hedge funds buying and selling equities in massive quantities.
This chart displays the price action for ES, which is the S&P500 E-mini futures .
At the time this guide was created, that chart for ES displays the low of this year (2022). You can see major highs and major lows, as well as steep drops and momentous runs.
Price action like this appears random to the naked eye, however it is all controlled by major institutions. These institutions place large buy and sell orders for markets such as the S&P 500 Index which causes these moves.
Our Institutional Demand and Supply Analysis attempts to discover the price zones where institutions have placed their buy/sell orders. Their buy orders create “demand zones”. And their sell orders create “supply zones”. Knowing where these zones exist allows us to anticipate price trend reversals so we can profitably participate in them alongside the major institutions when these key moves take place.
We are looking for areas in the chart where institutions have created major imbalances (more buy orders than sell orders or vice versa) which creates demand and supply zones that impact price action and trend reversals in predictable ways.
What Causes These Supply and Demand Zones?
Understanding that institutions control the price of the markets is crucial for understanding how these zones of supply and demand imbalances are formed, and it can be derived from historical price action.
There are two types of price action, balanced and imbalanced. Balanced price action is flat, consolidatory price action where the overall direction is sideways. Imbalanced price action is an exaggerated move in price either up or down. Now here is the key: institutional supply and demand imbalances are formed when price action goes from balanced to imbalanced. Below is an example of balanced price action .
There are clearly areas of institutional buy and sell orders that are causing price action to oscillate between the areas of demand and supply. The longer price action consolidates and moves sideways, the larger the volume profile will be in this range. In other words, more institutional orders will build up as price remains relatively the same for a longer period of time.
Here is how a demand zone is formed :
Due to bullish CPI news, price action went from balanced to imbalanced by exploding to the upside. This bullish price action filled all of the sell orders and broke past the previous area of supply. Because price moved up so fast, the buy orders did not get a chance to fill, essentially leaving an area with a high concentration of buy orders remaining. Hence, a new demand zone is formed which is shown here .
Our state-of-the-art indicator automatically scans for these historical shifts in price action (balanced to imbalanced) via our supply and demand zone detection formula, and displays them on your chart instantly. Remember the first image sent of blank price action? Here it is below:
The image below shows the exact same chart of ES, however, our advanced Professional Zones - Institutional Demand and Supply Imbalances indicator has been applied to the chart.
Just like that, price action has been transformed from unexplainable chaos to an orderly sequence of demand bounces and supply rejections.
Yes, all of these zones may be charted manually if one were to acquire the knowledge required to chart them by hand, and spend numerous hours going back in time to find all these zones. Additionally, these charts would then have to be constantly monitored and updated, which would require hours of work each day. This powerful indicator automates all of that work to give you more precious time to analyze and trade these zone-driven pivots in the markets.
How To Measure the Strength of Supply and Demand Zones?
The longer the consolidation takes place, the larger the demand/ supply zone will be. This strength is measured by the time frame of the origin of the zone.
Each zone may be formed on a different time frame, the biggest being the 1 Month time frame, and the smallest being the 30 Minute. Each supply and demand zone is automatically labeled based on the time frame from which the zone originated.
The weakest zones are derived from the 30 minute time frame. This means the zone only took two 30 minute candles to form, which is not a lot of time for institutions to place large orders. This means that the bounces and rejections off of these zones will usually be smaller, and usually won’t last more than a few days.
Larger zones such as 1 Day, 1 Week, and 1 Month often cause large swings in the market lasting weeks, months and even years. So pay attention not just to where the demand and supply zones currently appear, but also to the strength of that zone. You can see below that the demand zone that the market bottomed in and reversed out of in 2022 was in fact, a very strong weekly zone.
What is the Significance of Supply and Demand Zone Breaks?
These zones are order-based. This means that a supply zone level doesn’t turn into demand when price action breaks above it, and demand doesn’t turn into supply when price action breaks below it. It is unlike standard trend-based support and resistance levels. If price action breaks below demand by even $0. 01 , all of the buy orders have been filled and the demand must be deleted from the chart (and vice versa for a supply zone ).
While it is possible to play these zone breaks as continuation plays off of current momentous price action, it is unpredictable how far price will go up or down after breaking supply or demand during that leg.
However, in my years of supply and demand experience, I have noticed that if demand breaks, the market will eventually come down to the next viable demand zone . This is because without a pivot caused by an institutional-created demand or supply imbalance, there is often not enough participation to cause a sustainable trend reversal for a long period of time. Below is an example of this:
Above is the 4 Hour chart of TSLA bouncing up off of a demand zone . We call this a bounce in “no man's land”, as there is no major demand bounce to support this reversal to the upside. So in theory, price action should return lower to the next major historical zone of demand before it has a chance of pulling off a solid reversal. Here is what happened:
As you can see above, TSLA did indeed end up heading back down into the next major demand zone before getting a sustainable reversal to the upside. So you may play these supply and demand zone breaks as continuation trades, either long or short, with a price target at the next major zone. Just make sure to use proper risk management and position sizing, as timing the trigger of a price target can be difficult.
How Might I Place a Trade Using the Indicator?
Now that the basics of institutional supply and demand zones have been discussed, there will come a time that this strategy must be actively applied to personal trading with a goal of becoming profitable. Here is a step-by-step process to place a trade using supply and demand paired with an example of a day trade from the 1 minute time frame.
Step 1: Find a highly institutionally traded stock that is currently in supply or demand as shown by our indicator. For example, AAPL:
Step 2: Look for an above-average (exaggerated) volume spike. Because we are in one of the green zones at the bottom of the chart, we know that we are in demand where large institutional buy orders reside. We need to wait for some of these orders to actually fill before we take our trade. This is known as volume confirmation. The color of the volume usually does not matter in this situation.
Step 3: Now that we have a volume spike which is confirmation of large orders being filled, we need more confirmation that the institutional orders are not only a buy, but large enough to actually reverse the current trend.
This is ultimately a judgment call. A few green candles may be good enough to dictate a reversal, or a trend break. It comes down to personal preference and how aggressive you would like to be. Keep in mind, the longer you wait, the more confirmation your trade has, but also, the longer you wait, the greater the risk of missing the new trend. In this example, we will use a trend line to confirm our trend reversal.
Step 4: Enter the trade. Now that you have proper demand confirmation, you may place your trade. Be sure to determine your stop loss, price target, position size, and all other risk management factors along the way.
In this example, AAPL ran all the way up to supply before rejecting; making for a perfect demand to supply call trade. Also, more short trade entries could have been taken based off of the multiple supply rejections AAPL had.
The Bottom Line
There are many ways one may go about trading the stock market. However in my years of trading and teaching, there has never been a strategy that has not only changed my career, but improved the trading careers of my students, more dramatically than Institutional Zones of Demand and Supply Imbalances.
Though charting new zones and deleting broken ones everyday was time consuming and repetitive, the results of trading these zones made it well-worth the hours of charting. However, after months of development and fine-tuning, the painful charting process has been automated by this powerful indicator, completely replacing the tedious charting work for myself and my students.
While numerous other indicators include the name “Supply and Demand Zones”, we believe that no supply and demand indicator remotely this advanced and accurate available on TradingView. I am very blessed to finally bring this revolutionary tool to the market.
Introduction to the Aurora Demand and Supply Indicator for TradingView and its Functionality
This page is dedicated to providing a thorough walk-through of our Professional Zones - Institutional Demand and Supply Imbalances indicator. The settings functionality, customizability, and purpose will be discussed to give you an in-depth understanding of the indicator. Understanding the purpose of the different functions and settings is crucial to utilizing this powerful tool at its full potential.
First Look Upon Indicator Addition
After purchasing the indicator, your chart may initially appear cluttered, zoomed out, and hard to read. But do not worry, it just means the indicator settings must be fine-tuned to optimize your experience. Tt may appear overwhelming. However this page will discuss each major customizable setting and the functionality behind it to streamline your TradingView set up.
Filter Options Settings Category
This is the first customizable feature that appears when accessing the settings of the indicator. What Filter Zone Ranges does is allow you to filter the range at which zones appear both above and below the current asset price. With this setting unchecked, every single demand and supply zone within the 5k candle limit (or 20k limit if you have a premium TradingView account) will appear on your chart. This causes chart clutter which limits the visibility of price action.
If you have this setting activated, you can choose exactly the range of zones visible to you. This range is percent based and is measured both above and below the current market price. For example, if you activate Filter Zone Ranges and set the Filter Percentage at 7%, only zones within the range of 7% above, and 7% below the current asset price will be shown.
Demand/ Supply Zone Options Settings Category
The next two categories contain the majority of the customizability for supply and demand zones. The first option in both the Demand/ Supply Zone Options is Create Demand/Supply Zones. This toggle is very straight forward, you may choose whether or not to display all demand zones, or all supply zones.
The next two options are Demand/ Supply Zone Border and Demand/ Supply Zone Fill. Again, these are straight forward. The border setting allows you to edit both the color and opacity of the zones’ border lines. The fill setting allows you to edit the color and opacity of the interior of the supply/demand boxes.
Following the first pair of visual settings, you will see Demand/ Supply Zone Box Offset. This allows you to toggle how much the indicator offsets each zone from its origin point. In other words, move it to the left or right from the point in time at which the zone was created. The 0 offset is the base setting which is actually a slight offset to the right of the origin point to ensure that the candlesticks remain unobstructed visually.
After the offset options, you will find Demand/ Supply Zone ERC Multiple. This is a key setting which inputs the value our formula utilizes to scan the areas of institutional supply and demand imbalances. Unless you are extremely experienced with supply and demand analysis or you are running backtesting, it is highly recommended this value is left at ‘2’ for both the demand and supply options.
The next two options you will see in your indicator settings are Extend Demand/ Supply Zone and Demand/ Supply Zone Size. This feature allows you to customize exactly how far your zones will extend from the point of origin into the future.
The three options on the drop down menu are Extend, Fixed, and Dynamic. Each of these options extend your zones in a different fashion. It is important to note that the value inputted in the size option is the amount of units the zones will extend to the right for both Fixed and Dynamic options. The larger this input is, the further out the zones will extend into the future, and vice versa.
The final setting in the Demand/ Supply Zone Options category is Broken Zones to Keep and Broken Demand/ Supply Zone Fill. The Broken Zones to Keep input allows you to see recent supply or demand zones that have been broken and deleted from your chart. This may be useful for a trader in a few different ways. The Broken Demand/ Supply Zone Fill setting allows you to customize the number of broken zones displayed as well as their color and opacity. The most prominent example of this option’s utility is for traders that do not observe price action during the entirety of the market open.
If an individual left their charts for a few hours and missed a demand break, it may give the illusion that there was never a demand there and price action has been in “no-man's land” all day. However if that individual inputted ‘1’ in the Broken Zones to Keep setting, they would be able to see that a demand has broken. This may be useful as the trader may have an altered sentiment after knowing that a zone did in fact break.
Note: the value inputted is the amount of previously broken zones that will appear on your chart. For example, if the value ‘3’ is inputted, the three most recently broken zones will appear on your chart.
Time Frame Options Settings Category
Time Frame Options Settings allows you to toggle which supply and demand zones appear on your chart by time frame. For example, if you are analyzing a chart on a larger time frame such as the daily or weekly, the small 30 minute and 45 minute zones will often clutter your chart. By deselecting the weaker and smaller time frame zones, it will clean your chart up, allowing you to only see the zones that assist your analysis.
However the first two options in the category are unique.The first is Show Forming Zones. This option is extremely useful if you are watching price action play out live, when seeing the possibility of a supply or demand zone forming may be of benefit during your day trading. By toggling this setting ON, you will see all possible supply and demand zones forming in real time. However, this could cause clutter if multiple zones are forming at once in which case, toggling it off may be more beneficial.
The second option in the Timeframe Options category is the Show Zones Inside toggle, which controls the table at the top right of your screen (you may get rid of this table by deselecting tables in display settings).
This setting simply is a “yes” or “no” as to whether or not the table located at the top right of your screen will display the number of zones price action is currently sitting in. This setting is useful as zones may sometimes pile up on top of one another, making it hard to know exactly how many zones price action is currently sitting in.
Gap Options Settings Category
Just below the Timeframe Options category, is the Gap Options category. Gaps appear when two daily candles highs and lows do not overlap. These are often created when a catalyst is released into the market overnight causing a large move, resulting in a “gap” up or down the next morning.
A Gap often forms due to a strong move to the upside, and the indicator highlights this gap with a gray box. Gaps are important to many traders as there is often a large lack of liquidity inside the gap area, which often acts as a magnet that attracts future price action to fill it. If toggled on, the indicator displays the gap among the supply and demand zones seamlessly. The rest of the settings for this category are options to customize the color, opacity, size, and offset. These have the same effect as the options in the Demand/ Supply Zone Options category.
Text Options Settings Category
The final category in the indicator input settings is Text Options. This category allows you to toggle zone labeling on or off, and to specify how you would like the zone labels to appear. It’s strongly recommended that zone labeling is left ON because knowing the time frame a supply or demand zone originated from is a massive indicator of its strength. Top right alignment causes labeling such as “3H” to appear at the top right of each zone.
Indicator Data Limitations
There are a few limitations of TradingView which impact the Professional Zones - Institutional Supply and Demand Imbalances indicator. The first is the data TradingView provides to its users. With a basic TradingView account, a user only has access to 5,000 candles of data. So if a user is on the 1 minute time frame, that user can only see 5,000 candles before that current point. This is important because our advanced indicator scans historical price action that has formed supply and demand zones and displays it on your chart. This means that if a user is on a 1 minute time frame chart, they will only be able to see zones formed within the last 5,000 candles. Older supply and demand zones can not be displayed. However if a user has the Premium TradingView subscription, they can access up to 20,000 candles, which greatly increases the potential zones the user may see on the smaller time frames.
To counter this, we strongly recommend checking the larger time frames before starting your trading day, as there could be an old zone lurking behind the scenes. Once you spot it on the 30 minute time frame, for example, you may easily take note of the demand zone and its location.
The Bottom Line
This indicator has been intricately and powerfully designed to not only display institutional supply and demand imbalances more accurately and efficiently than any other TradingView indicator, but it has also been designed to give the user full control. Full control means the user has the ability to customize the appearance and inputs, as well as toggle specific objects visible to the trader.
We have meticulously designed the Professional Zones - Institutional Supply and Demand Imbalances indicator to be extremely valuable as a stand-alone strategy, as well as versatile enough to incorporate multiple other trading strategies on top of supply and demand .
However, in order for this indicator to be utilized by you at its full potential, it is important that you understand all of its features, capabilities and configuration options before you dive into trading.
VWAP From Multiple Sources With Cloud & Percentage GapVWAP CLOUD FROM CLOSE, OPEN, HIGH & LOW SOURCES WITH CLOUD & PERCENTAGE GAP
VWAP stands for volume weighted average price and shows the average price of buys/sells based on volume traded across the current session. This VWAP is based off of the Daily session.
***HOW TO USE***
Use the purple cloud between the VWAPs as your entry points as price will typically bounce from that cloud area.
The Yellow Line is the VWAP using the close price as a source.
The Green Line is the VWAP using the open price as a source.
The Blue Line is the VWAP using the high price as a source.
The Purple Line is the VWAP using the low price as a source.
When price is above the VWAP cloud, the background will paint green because the trend is bullish.
When price is below the VWAP cloud, the background will paint red because the trend is bearish.
In the bottom right hand corner, three is a table that will show you the current percentage gap between current price and the VWAP using close as the source.
All sources and colors can be easily switched in the settings menu.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This vwap indicator can be used on all timeframes but is calculated using the daily session.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Volume Profile, Directional Movement Index, Momentum, Auto Support And Resistance and Money Flow Index in combination with this VWAP Cloud. The other indicators all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
