High Power CandlesThis indicator provides information about the strength of the candles in favor of the trend, following the logical meaning: green (rising force), yellow (little force), red (downward force)
Analisis Trend
Dinkan Price Action Tool | DinkanSmart Money Price Action & SMC Toolkit – ChoCH | BOS | FVG | Liquidity | Trendlines
Unlock precision in trading with this advanced Smart Money Concept (SMC) Price Action Toolkit, tailored for traders who follow institutional price movements.
🧠 Key Features:
🔄 Change of Character (ChoCH): Instantly spot trend reversals.
🔨 Break of Structure (BOS): Confirm market direction shifts.
💧 Liquidity Zones (LQDT): Detect liquidity traps and sweep zones.
📏 Fair Value Gaps (FVG): Visualize imbalance areas for entry/mitigation.
📦 Order Blocks (OB): Auto-highlighted supply/demand zones with mitigation logic.
🧬 IDMT (Internal Displacement Market Trend): Microstructure shift indicator.
🔀 Mitigation Zones: Refined trade zones post liquidity events.
📐 Dynamic Smart Trendlines:
Drawn based on recent highs/lows and structural pivot points.
Aligns with ChoCH and BOS for confluence-based entries.
Helps identify pressure zones and breakout retests.
🎯 Perfect For:
Price action & SMC traders (ICT, Wyckoff, Smart Money models).
Scalping, intraday, and swing strategies.
Assets like NIFTY, Bank Nifty, Forex, Crypto, and Commodities.
📊 Clean Visuals:
Chart-friendly color coding.
Easy to understand even for intermediate traders.
⚠️ Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. The creator is not responsible for any profit or loss incurred while using this script. Always do your own research and consult with a licensed financial advisor before making trading decisions.
EMA CCI SSL BUY SELL Signal [CongTrader]📌 Indicator Description
EMA CCI SSL BUY SELL Signal is a powerful trading tool that combines HTF SSL Channel, EMA trend filtering, and precise crossover-based signals to generate high-probability BUY and SELL entries.
It is designed to work effectively in crypto, forex, and stock markets, especially on 15m, 1H, and 4H timeframes.
🔍 Key Features:
✅ Clear BUY / SELL labels with visual markers.
📈 EMA trend filter helps eliminate false signals in sideways or weak trend markets.
⏫ SSL Channel is calculated from higher timeframe data for increased accuracy.
🔔 Built-in alerts to notify you when a new signal is triggered.
🧠 Informative price & percentage change table shown directly on the chart.
📊 Regression channel included to help analyze trend direction visually.
🧾 How to Use
Add the indicator to your chart and choose your preferred timeframe (recommended: 15min, 1H, or 4H).
Customize the EMA length and switch between Auto / Manual HTF Mode to suit your strategy.
Watch for:
BUY signals with green “BUY” labels and upward arrows.
SELL signals with red “SELL” labels and downward arrows.
Signal table showing entry price and % change since signal.
Enable alerts to be notified of new BUY/SELL signals.
For best results, combine this tool with your own price action analysis and risk management strategy.
🙏 Thank You
Thank you for using the CongTrader indicator!
We strive to provide useful and easy-to-understand trading tools to help traders across different markets.
If you find this indicator helpful, please consider leaving a like ❤️, sharing your feedback, or recommending it to others in the community!
⚠️ Disclaimer
This is a technical analysis tool intended for educational and informational purposes only.
It does not constitute financial or investment advice.
Past performance is not indicative of future results. Always trade responsibly and use proper risk management.
EMA Buy Sell Signal, SSL Channel Indicator, HTF Trend Filter, Crypto Signal Tool, Forex Buy Sell Alert, CongTrader Indicator, TradingView Signal Script, EMA Crossover Strategy, Regression Channel, Best TradingView Indicator.
COBRA X Mastermind – Ultimate Smart Panel 🐍 COBRA X Mastermind – Ultimate Smart Panel
The ultimate evolution of smart market analysis.
This indicator combines advanced trend filtering (EMA200 + VWAP), Price Action (BoS, Engulfing), Volume Spikes, Fair Value Gaps (FVG), Hidden Divergences, and breakout risk assessment — all displayed in a clean, professional panel.
✅ Real-time Buy/Sell signal with validity & strength
✅ Live risk metrics: TP%, SL%, and breakout alerts
✅ Full volume analysis: VWAP, POC, Spike Detection
✅ Fair Value Gap + Hidden Divergence Detection
✅ Clean screener panel for scalping or swing trading
🔐 Code is fully protected.
For access or licensing, contact: .
Momentum Trajectory Suite📈 Momentum Trajectory Suite
🟢 Overview
Momentum Trajectory Suite is a multi-faceted indicator designed to help traders evaluate trend direction, volatility conditions, and behavioral sentiment in a single consolidated view.
By combining a customizable Trajectory EMA, adaptive Bollinger Bands, and a Greed vs. Fear heatmap, this tool empowers traders to identify directional bias, measure momentum strength, and spot potential reversals or continuation setups.
🧠 Concept
This indicator merges three classic techniques:
Trend Analysis: Trajectory EMA highlights the prevailing directional momentum by smoothing price action over a customizable period.
Volatility Envelopes: Bollinger Bands adapt to dynamic price swings, showing overbought/oversold extremes and periods of contraction or expansion.
Behavioral Sentiment: A Greed vs. Fear heatmap combines RSI and MACD Histogram readings to visualize when markets are dominated by buying enthusiasm or selling pressure.
The combination is designed to help traders interpret market context more effectively than using any single component alone.
🛠️ How to Use the Indicator
Trajectory EMA:
Use the blue EMA line to assess overall trend direction.
Price closing above the EMA may indicate bullish momentum; closing below may indicate bearish bias.
Buy/Sell Signals:
Green circles appear when price crosses above the EMA (potential long entry).
Red circles appear when price crosses below the EMA (potential exit or short entry).
Bollinger Bands:
Monitor upper/lower bands for overbought and oversold price extremes.
Narrowing bands may signal upcoming volatility expansion.
Greed vs. Fear Heatmap:
Green histogram bars indicate bullish sentiment when RSI exceeds 60 and MACD Histogram is positive.
Red histogram bars indicate bearish sentiment when RSI is below 40 and MACD Histogram is negative.
Gray bars indicate neutral or mixed conditions.
Background Color Zones:
The chart background shifts to green when EMA slope is positive and red when negative, providing quick directional cues.
All inputs are adjustable in settings, including EMA length, Bollinger Band parameters, and oscillator configurations.
📊 Interpretation
Bullish Conditions:
Price above the Trajectory EMA, background green, and Greed heatmap active.
May signal trend continuation and increased buying pressure.
Bearish Conditions:
Price below the Trajectory EMA, background red, and Fear heatmap active.
May signal momentum breakdown or potential continuation to the downside.
Volatility Clues:
Wide Bollinger Bands = trending, volatile market.
Narrow Bollinger Bands = low volatility and possible breakout setup.
Signal Confirmation:
Consider combining signals (e.g., EMA crossover + Greed/Fear heatmap + Bollinger Band touch) for higher-confidence entries.
📝 Notes
The script does not repaint or use future data.
Suitable for multiple timeframes (intraday to daily).
May be combined with other confirmation tools or price action analysis.
⚠️ Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. Trading carries risk and past performance is not indicative of future results. Always perform your own due diligence before making trading decisions.
Stefan Whitwell Zapier Volume Indicator TestThis indicator tracks the volume and creates buy and sell alerts.
Alpha Trend Strength Pro🔥 What You’ll See on the Chart
✅ A floating label appears near the most recent candle.
✅ Label shows:
🔥 Trend direction: Uptrend / Downtrend / Neutral / Near VWAP
💪 Trend strength: Strong / Moderate / Weak / Range
📈 EMA alignment
🎯 RSI momentum state
💥 MACD crossover
📊 Volatility condition (Expanding / Contracting)
🔵 VWAP proximity if enabled
✅ The chart background turns:
Green for Uptrend
Red for Downtrend
Neutral/Gray if in range (no background color)
⚙️ Customize Settings
Click the gear icon ⚙️ next to the script’s name on your chart.
Change things like:
Show/hide background color
Toggle VWAP-based filtering
Adjust RSI, MACD, Bollinger parameters
Pristine Value Areas & MGIThe Pristine Value Areas indicator enables users to perform comprehensive technical analysis through the lens of the market profile in a fraction of the time! 🏆
A Market Profile is a charting technique devised by J. Peter Steidlmayer, a trader at the Chicago Board of Trade (CBOT), in the 1980's. He created it to gain a deeper understanding of market behavior and to analyze the auction process in financial markets. A market profile is used to analyze an auction using price, volume, and time to create a distribution-based view of trading activity. It organizes market data into a bell-curve-like structure, which reveals areas of value, balance, and imbalance.
💠 How is a Value Area Calculated?
A value area is a distribution of 68%-70% of the trading volume over a specific time interval, which represents one standard deviation above and below the point of control, which is the most highly traded level over that period.
The key reference points are as follows:
Value area low (VAL) - The lower boundary of a value area
Value area high (VAH) - The upper boundary of a value area
Point of Control (POC) - The price level at which the highest amount of a trading period's volume occurred
If we take the probability distribution of trading activity and flip it 90 degrees, the result is our Pristine Value Area!
Market Profile is our preferred method of technical analysis at Pristine Capital because it provides an objective and repeatable assessment of whether an asset is being accumulated or distributed by institutional investors. Market Profile levels work remarkably well for identifying areas of interest, because so many institutional trading algorithms have been programmed to use these levels since the 1980's!
The benefits of using Market Profile include better trade location, improved risk management, and enhanced market context. It helps traders differentiate between trending and consolidating markets, identify high-probability trade setups, and adjust their strategies based on whether the market is in balance (consolidation) or imbalance (trending). Unlike traditional indicators that rely on past price movements, Market Profile provides real-time insights into trader behavior, giving an edge to those who can interpret its nuances effectively.
Virgin Point of Control (VPOC) - A point of control from a previous time period that has not yet been revisited in subsequent periods. VPOCs are great for identifying prior supply or demand zones.
Below is a great example of price reversing lower after taking out an upside VPOC
💠 Are all POCs Created Equal?
If POCs are used to gauge supply & demand zones at key levels, then a POC with higher volume should be viewed as more significant than a POC that traded lower volume, right? We created Golden POCs as a tool to identify high volume POCs on all timeframes.
Golden POC (GPOC) - A POC that traded the highest volume compared to prior POCs (proprietary to Pristine Capital)
We calculate value areas for the following time intervals based on the user selected timeframe:
5 Minute and 15 Minute Timeframes -> Daily Value Area
The daily value area paints the distribution of the PRIOR session's trading activity. The "d" in the label references for VAHd, POCd and VALd is a visual cue that value area shown is daily.
1 Hour Timeframe -> Weekly Value Area
The weekly value area paints the distribution of the PRIOR week's trading activity. The "w" in the label references for VAHw, POCw and VALw is a visual cue that value area shown is weekly.
1 Day Timeframe -> Monthly Value Area
The monthly value area paints the distribution of the PRIOR month's trading activity. The "m" in the label references for VAHm, POCm and VALm is a visual cue that value area shown is monthly.
1 Week Timeframe -> Yearly Value Area
The yearly value area paints the distribution of the PRIOR year's trading activity. The "y" in the label references for VAHy, POCy and VALy is a visual cue that value area shown is yearly.
💠 What is a developing value area?
The developing value area provides insight into the upcoming value area while it is still forming! It appears when 80% of the way through the current value area. As the end of a trading period approaches, it can make sense to start trading off the developing value area. When the time period flips, the developing value area becomes the active value area!
💠 Value Areas Trading Setups
Two popular market profile concepts are the bullish and bearish 80% rules. The concept is that there is an 80% probability that the market will traverse the entire relevant value area.
Bullish 80% Rule - If a security opens a period below the value area low , and subsequently closes above it, the bullish 80% rule triggers, turning the value area green. One can trade for a move to the top of the value area, using a close below the value area low as a potential stop!
In the below example, HOOD triggered the bullish 80% rule after it reclaimed the monthly value area!
HOOD proceeded to rally through the monthly value area and beyond in subsequent trading sessions. Finding the first stocks to trigger the bullish 80% rule after a market correction is key for spotting the next market leaders!
Bearish 80% Rule - If a security opens a period above the value area high , and subsequently closes below it, the bearish 80% rule triggers, turning the value area red. One can trade for a move to the bottom of the value area, using a close above the value area high as a potential stop!
ES proceeded to follow through and test the value area low before trending below the weekly value area
Value Area Breakouts - When a security is inside of value, the auction is in balance. When it breaks out from a value area, it could be entering a period of price discovery. One can trade these breaks out of value with tight risk control by setting a stop inside the value area! These breakouts can be traded on all chart timeframes depending on the timeframe of the individual trader. Combining multiple timeframes can result in even more effective trading setups.
RBLX broke out from the monthly value area on 4/22/25👇
RBLX proceeded to rally +62.78% in 39 trading sessions following the monthly VAH breakout!
💠 Market Generated Information to Improve Your Situational Awareness!
In addition to the value areas, we've also included stat tables with useful market generated information. The stats displayed vary based on the timeframe the user has up on their screen. This incentivizes traders to check the chart on multiple timeframes before taking a trade!
Metrics Grouped By Use Case
Performance
▪ YTD α - YTD Alpha (α) measures the risk-adjusted, excess return of a security over its user defined benchmark, on a year-to-date basis.
▪ MTD α - MTD Alpha (α) measures the risk-adjusted, excess return of a security over its user defined benchmark, on a month-to-date basis.
▪ WTD α - WTD Alpha (α) measures the risk-adjusted, excess return of a security over its user defined benchmark, on a week-to-date basis.
▪ YTD %Δ - Year-to-date percent change in price
▪ MTD %Δ - Month-to-date percent change in price
▪ WTD %Δ - Week-to-date percent change in price
Volatility
▪ ATR % - The Average True Range (ATR) expressed as a percentage of an asset's price.
▪ Beta - Measures the price volatility of a security compared to the S&P 500 over the prior 5 years (since inception if 5 years of data is not available)
Risk Analysis
▪ LODx - Low-of-day extension - ATR % multiple from the low of day (measures how extended a stock is from its low of day)
▪ MAx - Moving average extension - ATR % multiple from the user-defined moving average (measures how extended a security is from its moving average). Default moving average = 50D SMA
Why does MAx matter?
MAx measures the number of ATR % multiples a security is trading away from a key moving average. The default moving average length is 50 days.
MAx can be used to identify mean reversion trades . When a security trends strongly in one direction and moves significantly above or below its moving average, the price often tends to revert back toward the average.
Example, if the ATR % of the security is 5%, and the stock is trading 50% higher than the 50D SMA, the MAx would be 50%/5% = 10. A user might opt to take a countertrend trade when the MAx exceeds a predetermined level.
The MAx can also be useful when trading breakouts above or below the key moving average of your choosing. The lower the MAx, the tighter stop loss one can take if trading against that level.
Identifying an extreme price extension using MAx 👇
Price mean reverted immediately following the high MAx 👇
💠 Trend Analysis
The Trend Analysis section consists of short-term and long-term stage analysis data as well as the value area timeframe and price in relation to the value area.
Stage Analysis
▪ ST ⇅ - Short-term stage analysis indicator
▪ LT ⇅ - Long-term stage analysis indicator
Short-term and long-term stage analysis data is provided in the two rightmost columns of each table. The columns are labeled ST ⇅ and LT ⇅.
Why is Stage Analysis important? Popularized by Stan Weinstein, stage analysis is a trend following system that classifies assets into four stages based on price-trend analysis.
The problem? The interpretation of stage analysis is highly subjective. Based on the methodology provided in Stan Weinstein’s books, five different traders could look at the same chart, and come to different conclusions as to which stage the security is in!
We solved for this by creating our own methodology for classifying stocks into stages using moving averages. This indicator automates that analysis, and produces short-term and long-term trend signals based on user-defined key moving averages. You won’t find this in any textbook or course, because it’s completely unique to the Pristine trading methodology.
Our indicator calculates a short-term trend signal using two moving averages; a fast moving average, and a slow moving average. We default to the 10D EMA as the fast moving average & the 20D SMA as the slow moving average. A trend signal is generated based on where price is currently trading with respect to the fast moving average and the slow moving average. We use the signal to guide shorter-term swing trades.
In general, we want to take long trades in stocks with strengthening trends, and short trades in stocks with weakening trends. The user is free to change the moving averages based on their own short-term timeframe. Every trader is unique!
The same process is applied to calculate the long-term trend signal. We default to the 50D SMA as our fast moving average, and the 200D SMA as the slow moving average for the LT ⇅ signal calculation, but users can change these to fit their own unique trading style.
What is Stage 1?
Stage 1 identifies stocks that transitioned from downtrends, into bottoming bases.
Stage 1A - Bottom Signal: Marks the first day a security shows initial signs of recovery after a downtrend, with early indications of strength emerging.👇
Stage 1B - Bottoming Process: Identifies the ongoing phase where the security continues to stabilize and strengthen, confirming the base-building process after the initial signal.👇
Stage 1R - Failed Uptrend: Detects when a security that had entered an early uptrend loses momentum and slips back into a bottoming phase, signaling a failed breakout.👇
What is Stage 2?
Stage 2 identifies stocks that transitioned from bottoming bases to uptrends.
Stage 2A - Breakout: Marks the first day a security decisively breaks out, signaling the start of a new uptrend.👇
Stage 2B - Uptrend: Identifies when the security continues to trade in an established uptrend following the initial breakout, with momentum building but not yet showing full strength.👇
Stage 2C - Strong Uptrend: Detects when the uptrend strengthens further, with the security displaying clear signs of accelerating strength and buying pressure.👇
Stage 2R - Failed Breakdown: Detects when a security that had recently entered a corrective phase reverses course and reclaims its upward trajectory, moving back into an uptrend.👇
What is Stage 3?
Stage 3 identifies stocks that transitioned from uptrends to topping bases.
Stage 3A - Top Signal: Marks the first day a security shows initial signs of weakness after an uptrend, indicating the start of a potential topping phase.👇
Stage 3B - Topping Process: Identifies the period following the initial signal when the security continues to show signs of distribution and potential trend exhaustion.👇
Stage 3R - Failed Breakdown: Detects when a security that had entered a deeper corrective phase reverses upward, recovering enough strength to re-enter the topping phase.👇
What is Stage 4?
Stage 4 identifies stocks that transitioned from topping bases to downtrends.
Stage 4A - Breakdown: Marks the first day a security decisively breaks below key support levels, signaling the start of a new downward trend.👇
Stage 4B - Downtrend: Identifies when the security continues to trend lower following the initial breakdown, with sustained bearish momentum, though not yet fully entrenched.👇
Stage 4C - Strong Downtrend: Detects when the downtrend intensifies, with the security displaying clear signs of accelerating weakness and selling pressure.👇
Stage 4R - Failed Bottom: Detects when a security that had begun to show early signs of bottoming reverses course and resumes its decline, falling back into a downtrend.👇
Stage N/A - Recent IPO: Applies to stocks that recently IPO’ed and don’t have enough data to calculate all necessary moving averages.
Value Area
In Trend Analysis, the value area information is helpful to gauge price in relation to the value area.
▪ VA(y) - Categorizes the security based on the relation of price to the yearly value area
▪ VA(m) - Categorizes the security based on the relation of price to the monthly value area
▪ VA(w) - Categorizes the security based on the relation of price to the weekly value area
Value area states:
▪ ABOVE = Price above the value area high
▪ BELOW = Price below the value area low
▪ INSIDE = Price inside the value area
▪ Bull 80% = Bullish 80% rule in effect
▪ Bear 80% rule = Bearish 80% rule in effect
For example, in the chart above, VA(m) - ABOVE indicates a monthly value area and price is above the VAH.
💠 What Makes This Indicator Unique
There are many value area indicators, however...
Value Area
▪ Golden POC (GPOC) - This is a proprietary concept.
▪ Unique Label Customization
Pristine value areas often comprehensive and unique label customizations. Styles include options to display any combination of the following on your labels:
• Price levels associated with market profile levels
• % distance of market profile levels from security price
• ATR% extension of market profile levels from security price
Multi-Timeframe Analysis
Based on the chart timeframe, unique market generated information is shown to facilitate multi-timeframe analysis.
▪ Weekly Timeframe
On the weekly timeframe the focus is the bigger picture and the metrics reflect this perspective. Performance data includes YTD Alpha and YTD percent change in price. Volatility is measured using ATR % and the industry standard beta. Trend analysis for this higher timeframe include the 52-week range, which measures where a security is trading in relation to its 52wk high and 52wk low. Also included is the where price is in relation to yearly value area.
▪ Daily Timeframe
As one drills down to the daily timeframe, the performance metrics include MTD alpha and MTD percent change in price.
Risk analysis includes the low-of-day extension (LODx), which is the ATR % multiple from the low of the day, to measures how extended a stock is from its low of day. In addition, the moving average extension (MAx) is the ATR % multiple from the user-defined moving average, measures how extended a security is from its
moving average. The default moving average is the 50D SMA, however this can be customized in Settings.
Trend Analysis on the daily timeframe includes the Pristine Capital methodology for classifying stocks into stages using moving averages. Both short-term and long-term stage analysis data is included. Finally, price in relation to monthly value area is shown.
▪ Hourly Timeframe
An the hourly timeframe, performance metrics include WTD alpha and WTD percent change in price. Trend analysis includes the daily closing range (DCR) and price in relation to weekly value area.
💠 Settings and Preferences
💠 Acknowledgements
We'd like to thank @dgtrd, a TradingView Pine Wizard, for his insight on the finer details when working with volume profiles.
Hope Trend Trader v1🚀 Smart Decisions. Simple Signals. No Repainting.
The Hope Trend Trader v1 is a premium trading tool crafted for precision and consistency — built to serve both scalpers and swing traders who value clarity, confidence, and clean execution.
🔐 Invite-Only Script
Access is limited to protect the integrity of the strategy and support serious traders only.
🔍 Key Highlights:
✅ 100% Non-Repainting Signals – What you see is what you trade
✅ Accurate Buy/Sell labels at real-time turning points
✅ Built-in Multi-Timeframe Dashboard to guide your trend bias
✅ Volatility filter to help avoid choppy/noisy entries
✅ Optimized for Gold, Forex, Indices & Crypto
Unlike generic indicators, Hope Trend Trader v1 adapts to live market dynamics and does not repaint past signals — giving you the confidence to act without second-guessing.
💡 Perfect for traders who need reliable confirmations, clean visual guidance, and a strategy they can trust.
📩 Access By Request Only
DM us for access or reach out via Telegram 👉 @vineethruby
🔗 Join our premium trading circle today.
Dynamic Square of Nine - Measured Swings: [Blueprint_So9]📐 Dynamic Square of Nine — Measured Swings
This indicator puts the D in Dynamic Square of Nine.
This tool is not just a static Dynamic Square of Nine drawn from a single pivot point. Instead, it employs a dynamic Square of Nine rotational framework that applies to each segment of a user-defined Zigzag pattern. This approach transforms every swing into a measurable arc of angular movement around the Square of Nine.
One of Gann’s fundamental techniques was to measure movements from high to high, low to low, high to low, or low to high. With this indicator, you can now measure these movements and observe the degrees to which the market may be favoring.
Inspired by a straightforward yet powerful concept from Patrick Mikula’s work, this tool integrates rotational price theory into real-time structure, turning each leg of the analysis into an opportunity to identify harmonic behavior.
🔧 How It Works
You begin by selecting a significant high or low pivot—your anchor point. From there, the indicator applies a user-adjustable Zigzag to segment price swings.
Each leg is then measured using Square of Nine calculations, progressing or regressing around the wheel. Default values include 45°, 90°, 135°… up to 360°, but users can input custom degrees — including negatives like −22.5° or −360°, and extended values such as 720° — allowing for flexible, rotational analysis.
The Square of Nine levels for the final leg are dynamically extended and updated on the price axis as new pivots form, with support for alerts.
🎨 Visual & Functional Features
🔺 Color-coded swings: Red for down, green for up — matches label colors, fully customizable
🌀 Up to 8 rotational Square of Nine levels per leg — supports both progression and regression
🏷️ Swing labels — show price, degree, or both (user-selectable)
📍 Extended Square of Nine projections — with optional alerts for each level
🧩 Scaling controls — adjust Square of Nine fit to your instrument and timeframe
📈 Why It Matters
By measuring from a key pivot, whether low to low, high to low, low to high, or high to high—you can uncover harmonic repetitions of Square of Nine degrees.
Once you determine which degrees the market is responding to, they can become useful inputs in your broader forecasting framework.
Attribution
This script uses the Zigzag library by @DevLucem (DevLucem/ZigLib/1), licensed under the Mozilla Public License 2.0.
The library is used as-is, without modification.
All Square of Nine logic, projections and elements are original to this script.
Pristine Market Analysis DashboardThe Pristine Market Analysis indicator enables users to perform comprehensive top-down analysis of global risk assets in a fraction of the time! 🏆
Top-down analysis is important because the overall market environment has a significant impact on the success of individual trading setups.
💠 Market Analysis Insights
▪ Identify if money is flowing into equities, or equity alternatives like bonds,gold,and bitcoin
▪ Perform relative strength analysis of US vs International equities
▪ Identify rotation into risk-on or risk-off assets to determine overall market health
▪ Detect leading sectors to enable targeted stock screening, or to trade the ETFs themselves
💠 Market Analysis Metrics to Improve Your Situational Awareness!
▪ %Δ - 1-day percent change
▪ ATR Δ - 1-day percent change/ ATR %
▪ DCR - Daily closing range
▪ 52WR - Measures where a security is trading in relation to it’s 52wk high and 52wk low
▪ MAx - Measures how extended price is from a key moving average of your choosing in ATR% multiple terms
▪ ST ↑↓ (Short- Term Stage) - Measures the short-term trend using key moving averages of your choosing
▪ LT ↑↓ (Long-Term Stage) - Measures the long-term trend using key moving averages of your choosing
The indicator automatically sorts from greatest to least based on the %Δ column 👇
What is ATR?
The average true range (ATR) is a technical analysis indicator introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems that measures security volatility by decomposing the entire range of an asset price for a time period.
Why do we use it?
Because converting price moves into ATR terms better contextualizes them relative to the asset's historical volatility!
Example: If the ATR is $2.50, it means the average price range each day is roughly $2.50.
We use an ATR length of 20 days in our calculation, and convert the 20D ATR into a 20D ATR %. The formula for ATR % is as follows:
ATR % = (ATR/Current Price) * 100
Why does MAx matter?
MAx measures the number of ATR % multiples a security is trading away from a key moving average.The default moving average length is 50 days.
MAx can be used to identify mean reversion trades . When a security trends strongly in one direction and moves significantly above or below its moving average, the price often tends to revert back toward the average.
Example, if the ATR % of the security is 5%, and the stock is trading 50% higher than the 50D SMA, the MAx would be 50%/5% = 10. A user might opt to take a countertrend trade when the MAx exceeds a predetermined level.
The MAx can also be useful when trading breakouts above or below the key moving average of your choosing. The lower the MAx, the tighter stop loss one can take if trading against that level.
Identifying an extreme price extension using MAx 👇
Price mean reverted immediately following the high MAx 👇
Why does 52WR matter?
Historical analysis conducted by market legends like William O’Neill and Mark Minervini indicates that stocks trading at or near 52wk highs tend to outperform over time, and vice versa for stocks trading close to 52wk lows. Avoiding stocks trading with a low 52WR metric can help traders avoid buying stocks in downtrends. Likewise, focusing on stocks trading with a high 52WR provides a technical edge.
💠 Stage Analysis Guide
Short-term and long-term stage analysis data is provided in the two rightmost columns of each table. The columns are labeled ST ⇅ and LT ⇅.
Why is Stage Analysis important? Popularized by Stan Weinstein, stage analysis is a trend following system that classifies assets into four stages based on price-trend analysis.
The problem? The interpretation of stage analysis is highly subjective. Based on the methodology provided in Stan Weinstein’s books, five different traders could look at the same chart, and come to different conclusions as to which stage the security is in!
We solved for this by creating our own methodology for classifying stocks into stages using moving averages. This indicator automates that analysis, and produces short-term and long-term trend signals based on user-defined key moving averages. You won’t find this in any textbook or course, because it’s completely unique to the Pristine trading methodology.
Our indicator calculates a short-term trend signal using two moving averages; a fast moving average, and a slow moving average. We default to the 10D EMA as the fast moving average & the 20D SMA as the slow moving average. A trend signal is generated based on where price is currently trading with respect to the fast moving average and the slow moving average. We use the signal to guide shorter-term swing trades.
In general, we want to take long trades in stocks with strengthening trends, and short trades in stocks with weakening trends. The user is free to change the moving averages based on their own short-term timeframe. Every trader is unique!
The same process is applied to calculate the long-term trend signal. We default to the 50D SMA as our fast moving average, and the 200D SMA as the slow moving average for the LT ⇅ signal calculation, but users can change these to fit their own unique trading style.
What is Stage 1?
Stage 1 identifies stocks that transitioned from downtrends, into bottoming bases.
Stage 1A - Bottom Signal: Marks the first day a security shows initial signs of recovery after a downtrend, with early indications of strength emerging.👇
Stage 1B - Bottoming Process: Identifies the ongoing phase where the security continues to stabilize and strengthen, confirming the base-building process after the initial signal.👇
Stage 1R - Failed Uptrend: Detects when a security that had entered an early uptrend loses momentum and slips back into a bottoming phase, signaling a failed breakout.👇
What is Stage 2?
Stage 2 identifies stocks that transitioned from bottoming bases to uptrends.
Stage 2A - Breakout: Marks the first day a security decisively breaks out, signaling the start of a new uptrend.👇
Stage 2B - Uptrend: Identifies when the security continues to trade in an established uptrend following the initial breakout, with momentum building but not yet showing full strength.👇
Stage 2C - Strong Uptrend: Detects when the uptrend strengthens further, with the security displaying clear signs of accelerating strength and buying pressure.👇
Stage 2R - Failed Breakdown: Detects when a security that had recently entered a corrective phase reverses course and reclaims its upward trajectory, moving back into an uptrend.👇
What is Stage 3?
Stage 3 identifies stocks that transitioned from uptrends to topping bases.
Stage 3A - Top Signal: Marks the first day a security shows initial signs of weakness after an uptrend, indicating the start of a potential topping phase.👇
Stage 3B - Topping Process: Identifies the period following the initial signal when the security continues to show signs of distribution and potential trend exhaustion.👇
Stage 3R - Failed Breakdown: Detects when a security that had entered a deeper corrective phase reverses upward, recovering enough strength to re-enter the topping phase.👇
What is Stage 4?
Stage 4 identifies stocks that transitioned from topping bases to downtrends.
Stage 4A - Breakdown: Marks the first day a security decisively breaks below key support levels, signaling the start of a new downward trend.👇
Stage 4B - Downtrend: Identifies when the security continues to trend lower following the initial breakdown, with sustained bearish momentum, though not yet fully entrenched.👇
Stage 4C - Strong Downtrend: Detects when the downtrend intensifies, with the security displaying clear signs of accelerating weakness and selling pressure.👇
Stage 4R - Failed Bottom: Detects when a security that had begun to show early signs of bottoming reverses course and resumes its decline, falling back into a downtrend.👇
Stage N/A - Recent IPO: Applies to stocks that recently IPO’ed and don’t have enough data to calculate all necessary moving averages.
💠 Historical Analysis
Users can leverage the Replay feature in TradingView to perform historical analysis and see how the overall configuration of global risk assets looked at key turning points in the market!
To perform historical analysis:
1) Show the chart if previously hidden (see Tips and Tricks).
2) Click the Replay button on the toolbar at the top of the chart.
3) Use the slider on the chart to select the bar to begin the analysis.
💠 Comprehensive Tooltips
Hover over header labels to get detailed information about the data and relevant calculations.
For stage analysis (Short Term and Long Term), the tooltips provide a complete key of all the relevant stages.
💠 Settings and Preferences
▪ Customize this script by setting preferred colors and thresholds.
▪ There are two tables that can be customized, one on each side of the chart. For each table you can configure the location and show/hide each table. You can also specify colors for header and row data, including your preferred text size.
▪ You can customize the moving averages that are used in stage analysis. Specify your preferred fast and slow moving averages for both short-term and long-term analysis.
▪ For the ATR extension, the default moving average is 50D SMA. You can choose the length and type (SMA or EMA) to align with your trading preferences.
💠 Tips and Tricks
▪ Hide/Show Chart:
To provide a clean backdrop for the tables, it can be helpful to hide the chart. Hover your mouse over the symbol information in the upper right. Select the "..." option and choose "Hide" option. Choose the option "Show" to see the chart details if hidden.
▪ Futures Outside Regular Trading Hours (RTH):
In order for the data in the “%Δ” column of the the “Equity Alternatives” table to populate correctly when outside of regular trading hours, you must have your chart displaying a futures contract. Examples: ES, NQ, RTY, GC.
Mongoose Conflict Risk Radar v1.1 (Separate Panel) description
The Mongoose Capital: Risk Rotation Index is a macro market sentiment tool designed to detect elevated risk conditions by aggregating signals across key asset classes.
This script evaluates trend strength across 8 ETFs representing major risk-on and risk-off flows:
GLD – Gold
VIXY – Volatility
TLT – Long-Term Bonds
SPY – S&P 500
UUP – U.S. Dollar Index
EEM – Emerging Markets
SLV – Silver
FXI – China Large-Cap
Each asset is assigned a binary signal based on price position vs. its 21-period SMA (or a crossover for bonds). The signals are then totaled into a composite Risk Rotation Score, plotted as a bar graph.
How to Use
0–2 = Low risk-on behavior
3–4 = Caution / Mixed regime
5–8 = Elevated conflict or macro stress
Use this as a macro confirmation layer for trend entries, risk reduction, or allocation shifts.
Alerts
Set alerts when the index exceeds 5 to track major rotations into defensive assets.
Liquidity Point LinesLiquidity Point Lines
The "Liquidity Point Lines" indicator helps traders identify potential areas of liquidity in the market by drawing lines at specific price levels where significant "liquidation events" may have occurred. These events are determined by analyzing the MACD Histogram and identifying pivot points that suggest strong movements, which are often associated with the flushing out of short or long positions.
How It Works
This indicator leverages the MACD Histogram to gauge the strength of price momentum. It then identifies pivot highs and lows within the MACD Histogram's values. When a significant pivot is detected, the indicator interprets this as a potential "liquidity point" — a price level where a substantial amount of buy or sell orders (often due to liquidations) may have been executed.
The indicator distinguishes between:
Shorts Liquidation Points (Resistance): These are identified when the MACD Histogram registers a pivot high, suggesting a strong upward movement that could have liquidated short positions. Lines are drawn at the high price of the bar where this pivot occurred.
Longs Liquidation Points (Support): Conversely, these are identified when the MACD Histogram registers a pivot low, indicating a strong downward movement that might have liquidated long positions. Lines are drawn at the low price of the bar where this pivot occurred.
Key Features and Settings
The "Liquidity Point Lines" indicator offers extensive customization to tailor its sensitivity and visual representation:
MACD Settings for Liquidity: Configure the underlying MACD calculation with adjustable Fast Length, Slow Length, Source, Signal Smoothing, and MA Types (SMA/EMA) for both the Oscillator and Signal Line.
Liquidity Points Settings:
Pivot Lookback Left/Right: Define the number of bars to look back on either side to identify a pivot in the MACD Histogram.
Dynamic Strength Thresholds: This powerful feature allows the indicator to dynamically calculate the significance of a liquidation event. When enabled, it uses the average absolute histogram value over a specified Dynamic Threshold Lookback Period and applies Small and Medium Threshold Factors to determine the strength (Small, Medium, or Large) of the liquidity point.
Fixed Strength Thresholds: If dynamic thresholds are disabled, you can set fixed numerical values for Small and Medium Histogram Thresholds to define the strength categories.
Color & Style Customization: Assign distinct colors for Small, Medium, and Large liquidation points, choose the Line Style (Solid, Dashed, Dotted), and set the Label Text Color.
Label X Offset (To Right): Adjust the horizontal position of the liquidity point labels on your chart.
Liquidity Points Management:
Max Active Liquidity Lines: Control the maximum number of liquidity lines displayed simultaneously on your chart. Older lines are automatically removed to maintain clarity, except for lines that have been "touched" (i.e., price has interacted with that liquidity level).
Visual Interpretation
Each liquidity line is colored according to the strength of the detected liquidation event, making it easy to visually assess the potential significance of the price level. Lines extend to the right, serving as ongoing reference points. When the price interacts with a liquidity line (i.e., "touches" it), the line and its corresponding label are removed, indicating that the liquidity at that level may have been absorbed.
This indicator can be a valuable tool for identifying potential support and resistance levels, understanding market reactions to "liquidation cascades," and informing your trading decisions.
True Close – Institutional Trading Sessions (Zeiierman)█ Overview
True Close – Institutional Trading Sessions (Zeiierman) is a professional-grade session mapping tool designed to help traders align with how institutions perceive the market’s true close. Unlike the textbook “daily close” used by retail traders, institutional desks often anchor their risk management, execution benchmarks, and exposure metrics to the first hour of the next session.
This indicator visualizes that logic directly on your chart — drawing session boxes, true close levels, and time-aligned labels across Sydney, Tokyo, London, and New York. It highlights the first hour of each session, projects the institutional closing price, and builds a live dashboard that tells you which sessions are active, which are in the critical opening phase, and what levels matter most right now.
More than just a visual tool, this indicator embeds institutional rhythm directly into your workflow — giving you a window into where big players finalize yesterday’s business, rebalance exposure, and execute delayed orders. It’s not just about painting sessions on your chart — it’s about adopting the mindset of those who truly move the market. Institutions don’t settle risk at the bell; they complete it in the next session. This tool lets you see that transition in real time, giving you an edge that goes beyond candles and indicators.
█ How It Works
⚪ Session Detection Engine
Each session is identified by its own time block (e.g., 09:00–17:30 for London). Once a session opens:
A full-session box is drawn to track its range.
The first hour is highlighted separately.
Once the first hour completes, the true close line is plotted, representing the price institutions often treat as the "real" close of the prior day.
⚪ Institutional True Close Logic
The script captures the close of the first hour, not the end of the day.
This line becomes a static reference across your chart, letting you visualize how price interacts with that institutional anchor:
Rejections from it show where yesterday's flow is respected.
Breaks through it may indicate that today's flows are rewriting the narrative.
⚪ Dynamic Dashboard Table
A live table appears in the corner of your screen, showing:
Each session's active status
Whether we’re inside the first hour
The current “true close” price if available
Each cell comes with advanced tooltips giving institutional context, flow dynamics, and market microstructure insights — from rebalancing spillovers to VWAP/TWAP lag effects.
█ How to Use
⚪ Use the First-Hour Line as Your Institutional Anchor
Treat it like the price level that big funds care about. Watch how the price behaves around level. Fades, re-tests, or continuation moves often occur as the market finishes recapping yesterday’s leftover orders.
⚪ Structure Entries Around the Session Context
Are you inside the first hour? Expect more volatility, more decisive flow. After the first session hour, expect fading liquidity as the market slows down and awaits the next session to open.
█ Settings
UTC Offset – Select your preferred time zone; all sessions adjust accordingly.
Session Toggles – Enable/disable Sydney, Tokyo, London, or NY.
Box Display Options – Show/hide session background, first-hour fill, borders.
True Close Line Controls – Enable line, label, and customize width & color.
Execution Hour Labels – Optional toggle for first-hour label placement.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
MCDX with MAsMCDX with MAs – Market Participant Flow Analyzer
📌 Overview
The MCDX with MAs indicator provides insight into market behavior by visualizing the money flow of three key participant types—Bankers (Smart Money), Hot Money, and Retail Traders—through custom RSI logic and moving averages. It helps traders assess which group is driving price action and how this aligns with broader market trends.
🔍 What Makes This Indicator Unique?
Unlike generic mashups, this tool builds on the MCDX concept by:
Using custom RSI logic per participant group
Applying independent MAs to each RSI stream
Supporting multi-timeframe analysis
Offering clear color-coded trends and strengths
Enabling signal generation based on group behavior and crossover dynamics
⚙️ How It Works
RSI Logic (Per Group)
Each group’s RSI uses:
A base threshold (neutral zone)
A sensitivity multiplier (to control reactivity)
Visual capping (default max: 20) for easier histogram comparison
Moving Averages
Each RSI stream has its own moving average:
Selectable types: EMA, SMA, WMA, RMA, SMMA
Bankers include three MAs: short, mid, and long-term
MAs are used to identify trends and filter noise
📊 Visual Output & Color Logic
Each group is represented by a histogram with conditional coloring:
Bankers:
RSI > MA → Strong Green
RSI < MA → Light Green (or user-defined)
Hot Money:
RSI > MA → Bright Yellow
RSI < MA → Light Yellow
Retail:
RSI > MA → Bright Red
RSI < MA → Light Red
This makes it easy to visually assess which market participant is in control.
🟢 Bullish Conditions
Banker RSI rising and above at least one MA
Retailer RSI falling (retail exiting as smart money enters)
Hot Money RSI rising and above its MA
Stronger signal if Bankers or Hot Money RSI is recovering from extreme low values
🔴 Bearish Conditions
Banker RSI falling and below all MAs
Retail RSI rising (retail buying into weakness)
Hot Money RSI declining
Stronger signal if Bankers or Hot Money RSI are near extreme high levels
🛠️ Customization Features
Timeframe Input: Analyze flow from any timeframe
Static Reference Levels: Level 1, 2, 3 for support/resistance
Extreme Thresholds: Define extreme_high and extreme_low zones
MA Options: Choose MA type and length per RSI stream
🧠 Strategy Ideas
Combine with price action and volume for higher confluence
Use Banker RSI on a higher timeframe to filter trades on lower TFs
Monitor divergences between Retail and Banker flows
Use crossovers and slope direction for entries/exits
🔔 Alert Logic (Optional, Customizable in Pine Script)
Banker RSI crosses MA
RSI enters or exits extreme zones
RSI group divergence or alignment
Trend shift confirmation from all groups
✅ Best Suited For
Swing traders spotting accumulation/distribution zones
Traders seeking confirmation from institutional vs retail behavior
Users looking to combine money flow logic with MA-based trend confirmation
⚠️ Important Notes
This indicator is not financial advice. Use at your own discretion and with proper risk management.
Backtest thoroughly before applying in live markets.
Best used on a clean chart with no overlapping indicators for clarity.
Alert logic is not built-in but can be added using Pine Script.
Market behavior can vary greatly; always combine with other tools (e.g., support/resistance, candlestick patterns).
🧾 Summary
The MCDX with MAs indicator is a complete tool for visualizing and interpreting the behavior of market participants across different timeframes. By combining enhanced RSI logic, moving averages, and color-coded money flow dynamics, traders gain a structured way to identify trend strength, turning points, and entry/exit signals.
RSI OB/OS Alert Indicator[CongTrader]📋 Description:
🔎 Overview
The RSI OB/OS Alert Indicator is a simple yet powerful tool that helps traders identify overbought and oversold zones using the widely-known Relative Strength Index (RSI). Whenever RSI crosses into custom-defined thresholds, the indicator highlights the chart background and triggers alerts, making it easier to time entries or exits.
⚙️ Key Features
Customizable RSI length, Overbought, and Oversold levels
Clear visual markers for RSI values and threshold lines
Background color zones for quick visual recognition
Built-in alert conditions to notify you in real-time
Clean, minimalist design suitable for any asset class
🧠 How to Use
Add the indicator to your chart (supports crypto, forex, stocks, etc.)
Adjust the RSI period and OB/OS levels to match your strategy
Watch for red background = overbought, green background = oversold
Enable alerts to receive real-time notifications when RSI crosses levels
💼 Best For
Intraday and swing traders
Scalpers and longer-term investors
All asset types (Crypto, Forex, Stocks, Indices)
🛡️ Disclaimer
⚠️ This indicator is for informational and educational purposes only. It does not constitute financial advice. Trading involves risk, and users should conduct their own analysis before making any financial decisions. The author is not responsible for any financial loss.
🙏 Credits & Thank You
Thank you for using the RSI OB/OS Alert Indicator by CongTrader.
If you find it helpful, please like ❤️, share, or follow me for more quality tools and indicators to level up your trading game! #RSI #Overbought #Oversold #RSIAlert #CongTrader #TradingIndicator #CryptoRSI #ForexIndicator #StockTrading #TechnicalAnalysis #TradingView
Swing High & Swing Low IndicatorOVERVIEW
The Swing High and Swing Low Indicator is a technical analysis tool that automatically identifies and visualizes key supply and demand zones based on swing points in price action. This indicator helps traders identify potential areas of support and resistance where price reversals or bounces may occur.
KEY FEATURES
• Automatically detects swing highs and swing lows using a customizable lookback period
• Draws horizontal lines as zones around swing points to highlight supply (resistance) and demand (support) areas
• Supply zones are marked in red at swing highs where selling pressure may emerge
• Demand zones are marked in green at swing lows where buying pressure may emerge
• Dynamically adjusts zone height based on recent price volatility
• Maintains clean charts by limiting the number of zones displayed
• Optional swing point markers for visual confirmation
HOW IT WORKS
The indicator uses a swing detection algorithm that identifies:
- Swing Highs: Points where price reaches a local peak with lower highs on both sides
- Swing Lows: Points where price reaches a local trough with higher lows on both sides
Once a swing point is confirmed, the indicator draws a rectangular zone:
- Supply zones extend below swing highs (potential resistance)
- Demand zones extend above swing lows (potential support)
USE CASES
• Identify potential reversal zones for entry/exit decisions
• Set stop-loss levels beyond supply/demand zones
• Confirm support and resistance levels with other indicators
• Plan trades around key price levels
• Analyze market structure and price action patterns
INPUTS
• Lookback Period: Number of bars to identify swing points (default: 10)
• Zone Width: Width of the supply/demand zones in bars (default: 15)
• Zone Height %: Height of zones as percentage of recent price range (default: 1.0%)
• Maximum Zones: Limits number of zones displayed per type (default: 10)
• Maximum Bars Back: Removes zones older than specified bars (default: 300)
• Visual Options: Toggle supply zones, demand zones, and swing markers
• Color Settings: Customize colors for supply and demand zones
TRADING TIPS
• Stronger zones are often found at swing points with higher volume
• Multiple touches of a zone may indicate its significance
• Zones that align with round numbers or previous highs/lows tend to be more reliable
• Consider using in conjunction with trend analysis for better results
• Fresh/untested zones often provide stronger reactions than repeatedly tested ones
NOTES
• This indicator is for educational and informational purposes only
• Past performance does not guarantee future results
• Always use proper risk management and combine with other analysis methods
• The indicator repaints slightly as it confirms swing point
Rifle SHORT Rifle Short Indicator
Provides buy/sell signals on DOW symbols including YM, MYM, and US30. Algorithm monitors price action for a drop of price of X points within N minutes. On achieving this drop, the algorithm waits for the price action to drop below one of three levels. Levels end in 23/43/73. For example, 42223 or 42273. Once dropping below the level the algorithm is considered setup if the RSI is below 30. Once setup, it will remain setup until the RSI exceeds 30 or a buy signal is triggered. A buy signal triggers when setup and the following conditions are achieved: price action rises above the level, change in RSI indicates an end/exhaustion of the price drop, and the bar has positive upward momentum.
After signal entry a customizable stop loss and take profit are plotted on the chart adjusting to price action. It will signal exit accordingly.
Requirements for use:
1) 30 second chart
2) Dow symbol
The script has a matching indicator for the LONG entry. Both indicators rely on common code within the RifleShooterLib library.
Additionally, the BackTesterLib library is used to provide backtesting statistics and presentation.
Seven DaysCustom color the last 30 candles on your chart. Number of candles and candle color can be edited and customized in script.
OG TTM Histogram [Elite Edition] © 2025🧠 OG TTM Histogram Elite © 2025 | by OG WEALTH™
Built for sniper entries, this enhanced TTM Squeeze indicator includes:
• 🎯 Histogram Momentum Bars (Smoothed)
• ⚫ Black Dots = Squeeze Building (tight coil)
• 🟢 Green Dots = Squeeze Released (entry zone forming)
• 🔺/🔻 Entry Arrows based on Momentum + MTF Confirmation
• ⏱️ Customizable MTF Settings
• 🏷️ Compact Top-Right Squeeze Status Tag
• 🔔 Audio + Push Alerts for all major signals
Perfect for SPY, TSLA, AAPL, and crypto breakout traders.
Ideal for scalping, intraday, and swing strategies.
Super_Momentum_BandThe Super Momentum Band is a powerful multi-purpose indicator designed for scalpers & intraday. It combines the strength of an EMA Band with the reliability of Supertrend to help you catch momentum trades with clear visual cues.
Key Features:
✅ Dynamic EMA Band with colour-coded zones.
✅ Built-in Supertrend plotted directly on the chart.
✅ Helps to identify scalp opportunities & trend direction.
Ideal For:
🔸 Scalping setups on lower timeframes
🔸 Intraday trend confirmation
🔸 Breakout and retest trading
🔸 Quick visual identification of trend shifts
