SURF (ex-mafgi) 2.5 4m design @VanyaKsenyaSURF
designed by my 2 older kids, idea by me.
Correlation long only indicator which is fun to use and easy to decipher (hopefully).
What it does, is you can pick up to 3 assets that correlate with the asset you study.
Then it calculates the fear and greed index for each of the assets, and assigns it a weight based on either of the 3 included correlation measuring methods - simple, volatility-based, time-shifted, and (not yet working as of now) - grander causality method.
When the correlated assets are in fear zone (for positively correlated assets) - it shows a surfer who is ready to surf the upcoming wave up.
However, be cautious and take your profit when you see a palm tree or the sea throws out some green seaweed.
Waves are deep back in the sea and dark blue, with a lot of wet sand on the beach - good entry points for longs.
Opposite - good for shorts. When waves are so high that they reach the dry sand.
Enjoy!
(don't forget to check and modify the list of the assets which you think might corellate with the asset you're studying or trading).
Educational
[RenkoCore] PublicWhen it comes the Renko chart, we all know it has its advantages & disadvantages compared to the candle-stick chart. My aim of this was to alleviate some of the disadvantages by providing some sort of structure on Renko chart. These set of tools may hopefully help your trading journey on Renko chart.
Helpful tips:
a) Enable wicks on your Renko settings, this indicator needs wicks to work.
b) Choose correct size (I recommend traditional size option) for your Renko chart as well as for your instrument.
c) Keep it on 1-second time frame, anything other than that doesn't work on TradingView's Renko. This is important as price will not repaint.
d) If you want to see bigger picture (like 4hr/daily on candle-stick chart), just increase your Renko size, but still keep it on 1-second timeframe.
This toolset includes couple different methods to provide some structures as explained below:
1. 📌 Balance | Price Action Equilibrium Zones
Overview
The Balance is a visual framework designed to evaluate directional bias and internal structure in price action. It measures net bullish/bearish momentum within a configurable rolling window, while highlighting key structural turning points based on multiple custom sensitivity levels. This tool helps traders stay in sync with market rhythm by emphasizing balance, imbalance, and inflection zones.
🔧 How It Works:
Inflection Tiers
Three customizable rounds of pivot-based divergence detection—labeled as 1°, 2°, and 3°—automatically identify regular bullish and regular bearish pivot structures. Though may not be always accurate, these structural signals are intended to keep user's focus to continually reflect emerging internal market shifts.
Balance Limit
Monitors directional bar disparity within a customizable retrospective span. When the net balance exceeds ±50% of the range, the line turns green to suggest strong directional bias. A red fill zone between these thresholds indicates equilibrium or no-trade conditions.
Volatility Based Reversal (Candle Reversal Detector)
This tool scans for extreme price movements relative to local volatility baselines, helping traders detect possible tops and bottoms before major price reversals or pauses. Compares current price action to the lowest recent volatility anchor or if price sharply dips below the highest recent volatility anchor.
🧠 Use Case Recommendations:
Discretionary trading to visually confirm balance and momentum shifts.
Confluence strategies, combining the balance counter with trend indicators or support/resistance levels.
Structure mapping, to highlight exhaustion zones or emerging reversals based on internal divergences.
Avoid using this tool in isolation. It is most effective when combined with broader market context or other confirmation layers.
2. 📌 Primary Level Detection
Overview
This is a precision tool for detecting dynamic price zones where significant market reversals may begin. Using a blend of momentum, price tension, and volatility structure, it identifies potential top and bottom areas — and tracks them with adaptive channel levels that evolve in real time.
🔧 How It Works:
Combines price action, RSI-based bias, and volatility deviation to identify moments when price is overextended.
Reacts only to major changes — reducing false positives in choppy markets.
Levels persist on the chart until a new valid reversal is confirmed, giving you visual structure and actionable areas to work with.
🧠 Use Case Recommendations:
Trading reversals, reversion-to-mean, or liquidity sweeps
Confirming entries from other indicators (like divergence, order blocks, or support/resistance)
Analyzing volatile markets where rapid direction changes are common (e.g., crypto, futures, scalping)
3. 📌 Secondary Level Detection
Overview
This tool highlights where price may be overextended and due for a short-term reversal, based on recent price structure.
🔧 How It Works:
It uses dynamic bar-count and swing conditions to identify potential price turning points after extended directional moves or strong sequence of bars in same direction.
Levels persist on the chart until a new valid reversal is confirmed, giving you visual structure and actionable areas to work with.
🧠 Use Case Recommendations:
Trading reversals, reversion-to-mean, or liquidity sweeps
Confirming entries from other indicators (like divergence, order blocks, or support/resistance)
⚠️ Important Notes:
This indicator does not repaint. All pivots and plots are based on closed candles and verified conditions.
This tool does not provide trade signals. It is a structural analysis tool intended to assist in discretionary decision-making. This indicator is for informational and educational purposes only. Use in combination with your own trading strategy, risk management, and market context. The signals generated do not guarantee outcomes and should not be used in isolation.
It is not intended to be financial advice or a recommendation to buy or sell any security or asset. Trading involves risk. Always do your own research and consult with a licensed financial advisor before making any trading decisions. Past performance is not indicative of future results.
The author is not responsible for any losses incurred from the use of this script.
[TehThomas] - Previous Day/Week/Month High, Low, Open, CloseThis script is a powerful visual tool designed to automatically plot the key high, low, open, and close levels from the previous day, previous week, and previous month directly onto your active chart. These historical price levels are some of the most significant reference points for traders, often acting as natural magnets for price, areas of liquidity, or decision points where reversals, continuations, or fakeouts commonly occur.
Whether you’re a scalper working off intraday charts or a swing trader using higher timeframes, having these levels marked automatically keeps your chart structured and your strategy grounded in recent price behavior.
What This Script Displays on Your Chart
Once added to your chart, this script draws horizontal lines at the exact price levels where the previous day, week, and month ended or found their highs and lows. For each timeframe, you have full control over what’s shown, with toggle switches to enable or disable specific lines like:
Previous Day High and Low
Previous Day Open and Close
Previous Week High and Low
Previous Week Open and Close
Previous Month High and Low
Each level is color-coded, clearly labeled, and extended a set number of candles into the future so you can quickly identify which level is which. The labels are minimalist and clean, placed directly next to each line so they don’t distract from price action. This keeps your workspace visually organized without sacrificing context.
Why These Levels Are Important
These historical levels serve as psychological and technical anchors for the market. Traders and algorithms alike often react to the highs and lows of previous sessions, and open/close levels serve as polarity zones where support becomes resistance or vice versa.
Here are just a few practical uses:
Support and Resistance: Previous session highs and lows frequently act as strong areas where price reacts or consolidates.
Liquidity Zones: These levels often sit just above or below pools of stop-loss orders, making them common targets for liquidity grabs.
Market Context: Having previous opens and closes lets you see if price is trading above or below prior value areas, helping define bullish or bearish bias.
Entry and Exit Planning: Knowing where major levels sit helps refine your entries, manage risk, or take partial profits at high-probability reversal areas.
By automatically drawing these reference points, the script helps traders stay objective, focus on structure, and avoid emotional trading decisions.
How It Works Behind the Scenes
At the core, the script tracks the most recent completed daily, weekly, and monthly candles. It records the high, low, open, and close of those time periods and scans recent price history to find the exact bar where those levels were printed. Once found, it draws clean, extendable horizontal lines from those points forward on your chart.
The script includes built-in cleanup logic to ensure that only the latest relevant levels are visible. Whenever new session data becomes available, it removes old lines and replaces them with updated levels so your chart stays clean and accurate without any manual effort. You can also adjust how far these lines extend into the future, change their width, and personalize the colors to match your charting style.
This makes it a fully automatic, no-maintenance tool that always keeps your chart aligned with current session structure.
Whether you're watching for stop hunts at the previous week's high, looking for reaction zones around the prior day's close, or simply want to align your bias with institutional reference points, this script delivers the clean structure and clarity you need to trade more confidently and effectively.
Special thanks to: meddymarkusvanhala
For helping me optimise the script for faster load times
CPR by DSKThis CPR (Central Pivot Range) indicator is designed to provide multi-timeframe insights and simplify trend analysis for traders of all levels. Key features include:
1. Dynamic CPR Levels
Automatically adapts and displays CPR levels based on the current chart timeframe (Daily, Weekly, or Monthly).
Useful for identifying intraday or swing trading opportunities.
2. Market Sentiment Summary Table
A compact summary table indicates the market bias (Bullish/Bearish) using the relative position of the price to the Daily, Weekly, and Monthly CPR Pivots.
Helps you instantly assess the prevailing trend across key timeframes.
3. Target Achievement Status
The summary also highlights if any CPR-based targets or key levels have been hit, offering valuable confirmation for trade setups and exits.
This indicator is ideal for traders seeking a quick, visual overview of market structure and trend strength using the well-known CPR method.
Abusuhil Bullish Candles (Label + Table)Abusuhil Bullish Candles is a pattern recognition indicator designed to identify key bullish reversal candlestick formations including Hammer, Bullish Engulfing, Morning Star, Piercing Line, Three White Soldiers, and Three Inside Up.
The script includes optional filters such as Stochastic and Volume Confirmation, providing more precise signal detection.
Each pattern and filter is fully customizable via settings. Alerts are also included to support active trading workflows.
This script was written originally and does not copy open-source indicators. It's ideal for traders seeking visual clarity on bullish opportunities with professional-grade logic.
مؤشر الشموع الصعودية هو مؤشر احترافي يكتشف أبرز نماذج الانعكاس الصعودي في الشموع اليابانية مثل: Hammer، Bullish Engulfing، Morning Star، Piercing Line، Three White Soldiers، و Three Inside Up.
يوفر المؤشر فلاتر إضافية مثل فلتر Stochastic وفلتر الفوليوم لتعزيز دقة الإشارات. جميع الإعدادات قابلة للتعديل بما يتناسب مع احتياج كل متداول.
يحتوي المؤشر أيضًا على تنبيهات تلقائية لدعم استراتيجيات التداول اللحظي. تمت برمجة المؤشر من الصفر ويعتمد على منطق خاص غير منسوخ من سكربتات مفتوحة المصدر.
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🇸🇦 التحديثات – النسخة الجديدة (Abusuhil Bullish Candles)
✅ تم تغيير الملصقات بشكل أوضح: باستخدام دوائر ملونة أسفل الشموع بدلًا من المربعات لتفادي التراكب.
🟦 إضافة جدول تفاعلي على الشارت يعرض أسماء النماذج وألوانها المخصصة.
🎨 إمكانية تغيير ألوان كل نموذج من الإعدادات حسب رغبة المستخدم.
🧩 تفعيل/تعطيل كل نموذج على حدة من خلال إعدادات منفصلة.
🔔 إضافة تنبيه احترافي واحد يتم تفعيله عند تحقق أي نموذج نشط من النماذج المحددة.
📋 توافق كامل مع سياسة TradingView:
لا يحتوي على أكواد منسوخة أو مبنية على مؤشرات داخلية.
لا تكرار للوظائف أو العناوين.
وصف واضح مع تحكم كامل للمستخدم.
🇬🇧 Updates – Latest Version (Abusuhil Bullish Candles)
✅ Clearer Signal Labels: Now uses colored circles under candles instead of labels to avoid overlapping.
🟦 Interactive Table showing pattern names and user-defined colors.
🎨 Customizable colors for each candlestick pattern from the settings menu.
🧩 Toggle each pattern independently using dedicated checkboxes.
🔔 Single professional alert condition that triggers only when any enabled pattern is detected.
📋 Fully compliant with TradingView's publishing policy:
No reused or built-in indicator code.
No duplicated logic or misleading titles.
Clean and modular design with full user customization.
NoNoiseMA & SlopeHappy trade,
This is a noise-reduced moving average — let's call it the No-Noise MA. A MA where false breakout price action should have little to no impact, while the main trend remains fully represented. In comparison to previous MAs this one's trend appear more linear, and sideways price actions becomes easier to detect thanks to it's unique two filter stages.
In short, the No-Noise-MA (Noise-Reduced Moving Average) is calculated as the cumulative sum of the slopes derived from the center line of the last x pivot points. Let’s break it down step by step:
Pivot Detection:
A pivot algorithm (an adapted variant of the Bilson-Gann-Count method) identifies consecutive pivot points (high, low, high, low, etc.) in the close price series. Let's call this set of Pivots S.
Center Line Calculation:
Out of the set S the last x pivots are used to compute a center line (linear regression line). Always when a new pivot is confirmed, the oldest pivot in the queue is removed, and the new pivot is added.
Slope Extraction:
The center line is defined by its equation shown in the image below
Image 1
Cumulative Slope Sum:
As shown in the image 1 the slope is a series with values around zero. The No-Noise-MA is then just the cumulative sum of the slope series and a correction term. A correction term is needed otherwise the No-Noise-MA would run away over time from the original close price. The correction term is just the deviation between close price and cumulative slope sum multiply with a factor around 0.01 added to the No-Noise-MA.
Noise Reduction:
The goal of noise reduction is done by two filter stages. First Filter is the reduction of the input values. As shown above not all bars close prices are use, instead it uses just the pivot points delivered by the Bilson-Gann-Count method. Favorable the Bilson-Gann-Count method delivers the Pivot points in most cases much faster as other Pivot methods. Already after two bars a new Pivot is confirmed. This takes out all ups and downs between two consecutive Pivots. This first filter stage is legit because all price action in between is hedged by the Pivots.
The second filter stage is the done by the length of the center line. As more pivots are used to calculate the center line as smoother the slope becomes. Out liners just gets less impact if the base is bigger. So the number of involved Pivots has the same meaning as the lengths in any other MA.
Comparison with usual MAs:
For a comparison with other MAs this script also calculate the average lengths of the center line, shown in the upper right chart. So choose for example SMA and set the length parameter to the average length of the center line. As shown in the following image 2.
Image 2
This way both MAs have the same data base and can be objectively compared.
Trend detection:
The slope of the center line can be used for trend confirmation. A slope bigger then zero is an up trend while a slope smaller then zero is a down trend. And side way price action is indicated when the slope is around zero within a certain threshold.
Image 3
One hint should be mentioned here. The side way section gets indicated much later. About the number of bars as the center line is long. Before that there are just up or down trend predicted. In the image 2 you see the slope is firstly tin and as more bars past by the slope becomes more thick. This should indicate the point where no side way predictions will happens anymore.
Variation of calculation
In the settings menu you can find the setting "Include last close to center line". With this activated the center line is calculated with the last pivots and the last close price. The last close price is assumed as a pivot too. This gives the slope a more early reaction to volatile price action. But also brings back some noise.
Abusuhil Bullish CandlesAbusuhil Bullish Candles is a pattern recognition indicator designed to identify key bullish reversal candlestick formations including Hammer, Bullish Engulfing, Morning Star, Piercing Line, Three White Soldiers, and Three Inside Up.
The script includes optional filters such as Stochastic and Volume Confirmation, providing more precise signal detection.
Each pattern and filter is fully customizable via settings. Alerts are also included to support active trading workflows.
This script was written originally and does not copy open-source indicators. It's ideal for traders seeking visual clarity on bullish opportunities with professional-grade logic.
مؤشر الشموع الصعودية هو مؤشر احترافي يكتشف أبرز نماذج الانعكاس الصعودي في الشموع اليابانية مثل: Hammer، Bullish Engulfing، Morning Star، Piercing Line، Three White Soldiers، و Three Inside Up.
يوفر المؤشر فلاتر إضافية مثل فلتر Stochastic وفلتر الفوليوم لتعزيز دقة الإشارات. جميع الإعدادات قابلة للتعديل بما يتناسب مع احتياج كل متداول.
يحتوي المؤشر أيضًا على تنبيهات تلقائية لدعم استراتيجيات التداول اللحظي. تمت برمجة المؤشر من الصفر ويعتمد على منطق خاص غير منسوخ من سكربتات مفتوحة المصدر.
Swing High/Low LQ TrackerAn interactive tool to track liquidity events. Select start and end points on your chart—this indicator will automatically detect and plot the highest high and lowest low from that window, then extend those levels forward. If price sweeps either level, it marks the event with a clean "LQ" tag.
Perfect for traders who want to identify session-based liquidity, like killzone highs/lows, without manually drawing and deleting lines every day.
How It Works
-Select start and end time directly from settings
-Indicator calculates the swing high and low during that range
-Lines extend beyond the session until broken
-“LQ” markers appear when price sweeps the swing levels
It’s a must-have for ICT traders, smart money traders, or anyone who wants to track key liquidity levels without clutter.
Simple and effective tool for marking important ranges and tracking when liquidity is taken. No complex settings - just select your range and monitor the levels.
SD Median NUPL-Z🧠 Overview
SD Median NUPL-Z is a trend-following indicator that leverages a normalized version of Bitcoin’s Net Unrealized Profit/Loss (NUPL) metric, filtered through a median-based volatility band. Unlike traditional NUPL which is often used to spot extremes, this indicator is designed to identify sustained directional trends — entering only when both on-chain momentum and price structure align.
🧩 Key Features
Z-Scored NUPL Trend Engine: Normalizes NUPL using rolling mean and standard deviation to create a smoothed trend signal.
Price Structure Filter: Implements a median-based price band to avoid false entries during short-term volatility.
Custom Thresholds: User-defined thresholds determine when the trend signal is strong enough to justify a long or short directional bias.
Directional Candle Coloring: Reinforces current trend regime visually with aqua (bullish) and red (bearish) plots and candles.
Optimized for BTC: Uses Bitcoin’s Market Cap and Realized Cap to construct the NUPL input.
🔍 How It Works
On-Chain Core: NUPL is calculated as the percentage of unrealized profit in the market: (Market Cap - Realized Cap) / Market Cap * 100.
Z-Score Transformation: The raw NUPL value is normalized using a rolling average and standard deviation over a set window (default 134 days), producing the NUPL-Z series.
Median-Based Price Filter: A rolling 50th percentile (median) of price is used alongside its own standard deviation to create upper and lower bounds.
These bounds define a "volatility corridor" around price; the trend signal is only acted upon if price confirms by staying outside these bands.
Signal Logic:
A Long signal is triggered when NUPL-Z rises above the long threshold and price is not below the lower band.
A Short signal is triggered when NUPL-Z falls below the short threshold.
State Variable (CD): Tracks the current market regime, used to control plotting and color changes.
🔁 Use Cases & Applications
Momentum-Based Trend Following: Helps traders align with directional moves backed by both on-chain sentiment and supportive price structure.
Filtered Entry Timing: Reduces premature or noise-based entries by requiring price confirmation before committing to NUPL-based signals.
Best Suited for BTC: This tool is designed specifically around Bitcoin’s on-chain metrics and is not intended for altcoins or low-volume assets.
✅ Conclusion
SD Median NUPL-Z repurposes a traditionally cyclical valuation tool into a modern trend-following signal by combining statistical normalization with dynamic price structure filtering. It offers a more robust way to participate in high-conviction directional trends, reducing the likelihood of entering during short-lived counter moves.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
NUPL-Z For Loop🧠 Overview
NUPL-Z For Loop is a trend-following indicator built on Bitcoin’s on-chain Net Unrealized Profit/Loss (NUPL) metric. It uses a Z-scored transformation of NUPL and a custom loop-based scoring system to measure the consistency of directional movement. Rather than identifying tops and bottoms, this tool is designed to track sustained trends and filter out short-term noise, making it ideal for momentum-aligned strategies.
🧩 Key Features
Loop-Based Trend Logic: Assesses trend strength by summing the number of upward vs. downward moves in Z-scored NUPL across a custom lookback.
Z-Score Normalization: Applies long-term statistical normalization to NUPL to emphasize deviation from average behavior over time.
Threshold-Based Regime Shifts: Custom input thresholds define when trend strength is significant enough to trigger long or short signals.
Directional Market State Tracking: Internally tracks bullish, bearish, or neutral conditions to guide trend entries.
BTC-Focused On-Chain Analysis: Tailored specifically for Bitcoin using Market Cap and Realized Cap inputs.
🔍 How It Works
NUPL Calculation: Derived as the percentage of net unrealized profit relative to market cap: (MC - RMC) / MC * 100.
Z-Scoring: NUPL is normalized using a rolling mean and standard deviation over a long window (default 1300 days) to create a smoothed trend signal.
Directional Loop: A custom loop iterates from the start_loop to the end_loop, comparing the current Z-score to past values.
Each instance where NUPL_Z > NUPL_Z adds +1 to the score; otherwise, it subtracts -1.
This cumulative score reflects how consistently NUPL-Z has been trending.
Signal Logic:
Long signal when loop score exceeds long_threshold.
Short signal when score falls below short_threshold.
CD State Engine: Maintains the current trend regime (1 for long, -1 for short), which drives plot coloring and overlays.
🔁 Use Cases & Applications
Momentum Trend Filter: Detects and confirms sustained directional strength in BTC’s profit/loss positioning.
Noise Suppression: Avoids reactive signals from one-off spikes or dips in NUPL by requiring a consistent trend before confirming bias.
Best Suited for BTC: Designed specifically for Bitcoin’s price and on-chain structure, using its unique NUPL dynamics.
✅ Conclusion
NUPL-Z For Loop transforms a traditionally mean-reverting indicator into a trend-following signal engine. By scoring the consistency of movement in normalized NUPL, this tool identifies trend strength rather than reversal potential — providing more reliable context for momentum-aligned trades on Bitcoin.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
MVRV-Z For Loop🧠 Overview
MVRV-Z For Loop is a trend-following indicator that applies a custom directional for-loop logic to the MVRV Z-score. By evaluating the number of consecutive Z-score improvements or deteriorations over time, it identifies sustained directional pressure in Bitcoin’s on-chain trend — helping traders align with prevailing market strength rather than reacting to single-point extremes.
🧩 Key Features
Loop-Based Trend Filter: Applies a running comparison loop to assess whether MVRV-Z has been consistently strengthening or weakening.
Directional Scoring System: Each upward movement contributes positively, and each downward movement negatively, producing a cumulative trend score.
Z-Scored MVRV: Leverages on-chain valuation via the Market Cap to Realized Cap ratio, normalized using a long-term rolling average and standard deviation.
Custom Thresholds: User-defined thresholds for long and short signals based on trend score magnitude.
Dynamic Candle Coloring: Visually reinforces trend state with aqua for bullish and red for bearish environments.
🔍 How It Works
Z-score Transformation: The MVRV ratio is normalized over a long lookback (default 1050 days), creating a standardized valuation signal.
For-Loop Engine: A directional loop compares the current MVRV-Z value to previous values within a defined range (start to end).
If today’s value is higher than ma , it adds +1 to the score; otherwise, it subtracts -1.
This loop effectively measures momentum consistency rather than magnitude alone.
Signal Logic:
A Long signal is triggered when the cumulative trend score exceeds the long_threshold.
A Short signal is triggered when the score drops below the short_threshold.
State Variable (CD): Tracks the market regime (1 = long, -1 = short), updating only when a valid condition is met.
🔁 Use Cases & Applications
Trend Confirmation Tool: Helps traders assess whether a directional move has been sustained over time before committing.
Momentum Alignment: Filters out short-term noise by scoring consistency in MVRV-Z movement rather than relying on single-bar reversals.
Best Suited for BTC: This indicator is specifically built using Bitcoin’s Market Cap and Realized Cap metrics, making it ideal for BTC trend tracking.
✅ Conclusion
MVRV-Z For Loop transforms the traditional MVRV Z-score into a trend-following signal using a cumulative scoring approach. It excels in highlighting sustained directional strength and avoids premature entries during valuation whipsaws. This makes it a strong tool for traders looking to stay on the right side of the trend without overreacting to short-term fluctuations.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
SD Median MVRV-Z🧠 Overview
SD Median MVRV-Z is a trend-following indicator that uses on-chain valuation signals as a supportive filter. It blends the momentum of the MVRV Z-score with a dynamic median-based price structure to provide cleaner, more reliable directional signals. This tool is designed to identify when price and trend align with favorable broader context — not to pinpoint overbought or oversold extremes.
🧩 Key Features
Trend-Following Core: Signals are built around directional strength, not reversion.
MVRV Z-Score Momentum: Utilizes the statistical momentum of Market Cap vs Realized Cap as a macro trend driver.
Rolling Median Filter: Applies a price-based condition to ensure trend signals are not triggered during short-term counter-moves or noise.
Threshold Customization: Input controls allow traders to define the strength required to trigger long or short signals.
Dynamic Visualization: Candle coloring and filled zones provide instant feedback on current market regime.
🔍 How It Works
Trend Signal: The MVRV ratio is normalized via Z-scoring to produce a momentum-like signal based on how far current valuation deviates from its rolling average.
Price Filter: A rolling median and standard deviation of price define an upper and lower band. These serve to filter out MVRV-Z signals that occur when price is moving against the perceived direction.
Signal Logic:
Long signal = MVRV-Z above threshold and price is not in the lower volatility band.
Short signal = MVRV-Z below threshold, regardless of price band (more aggressive condition).
Directional Engine (CD): Encodes the market regime state (1 for long, -1 for short, 0 for neutral), and drives all visual outputs.
🔁 Use Cases & Applications
Momentum Confirmation: Identify when on-chain momentum and price structure both confirm a trend direction.
Reduced Whipsawing: Filter out weak or conflicting trend signals that would otherwise lead to false entries.
Best Suited for BTC: This indicator is specifically tailored for Bitcoin, using BTC’s Market Cap and Realized Cap data from on-chain sources.
✅ Conclusion
SD Median MVRV-Z is a trend-centric tool that ensures directional conviction by requiring agreement between price structure and underlying market momentum. It is not meant to detect tops or bottoms, but instead to help traders participate in sustainable moves with greater confidence.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Multi Session LQ Tracker by DeadcatDisplays session ranges and identifies when price sweeps session highs/lows (liquidity) . Shows up to 5 sessions with customizable times.
Setup
Timezone - Must match your chart timezone
Sessions - 2 active by default (Asia and London), add up to 5 total
LQ Trigger Session - Time window for liquidity detection (default: 0800-1600), If LQ sweeps happen before this time, they will not be marked.
Key Features
Session Boxes: Visual range of each session high/low
Extended Lines: Continue until price breaks level
LQ Markers: Red "LQ" circles when session levels swept during trigger hours
Liquidity Toggle: Turn off to use as standard session indicator.
Customize it according to your needs. If LQ detection is off, it will function as a normal session indicator.
Very useful for ICT traders who often track session highs/lows to make trading decisions, or for someone who just wants to use a session indicator.
EMA Trend Cloud with HH/LL Counter [RanAlgo]Indicator Overview:
This indicator combines EMA-based trend analysis with pivot point detection to identify market trends and potential reversal points. It features:
EMA Cloud System: Dual cloud layers (8/22 EMA and 21/49 EMA) for trend visualization
Pivot Analysis: Identifies Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL)
Counter System: Tracks daily and session counts of HH/LL patterns
Key Components:
EMA Configuration:
Fast EMAs: 8, 21, 22
Medium EMAs: 49, 50
Slow EMA: 100
Cloud formations between EMAs (8/22 and 21/49) with adjustable opacity
Trend Signals:
Buy signals when EMA8 crosses above EMA22 (green cloud)
Sell signals when EMA8 crosses below EMA22 (red cloud)
Additional confirmation from 21/49 EMA cloud
Pivot Point System:
Customizable lookback period (default 16 bars)
Four pivot types with customizable visuals:
HH (Higher High) - Green
HL (Higher Low) - Blue
LH (Lower High) - Red
LL (Lower Low) - Orange
Extended lines with adjustable length
Counter Table:
Displays daily counts of HH and LL patterns
Six position options for table placement
Color-coded to match pivot line colors
Trading Rules:
Trend Following:
Go long when both clouds are green (EMA8 > EMA22 AND EMA21 > EMA49)
Go short when both clouds are red (EMA8 < EMA22 AND EMA21 < EMA49)
Pivot Confirmation:
Strong uptrend confirmed by consecutive HH and HL patterns
Strong downtrend confirmed by consecutive LH and LL patterns
Potential reversals when pattern sequences break
Counter Interpretation:
Increasing HH count suggests strong bullish momentum
Increasing LL count suggests strong bearish momentum
Divergences between price and counts may signal weakening trends
Customization Options:
Adjustable EMA lengths (hardcoded but can be modified)
Cloud opacity controls
Pivot line colors, styles, and thickness
Lookback period for pivot detection
Line extension length
Table visibility and positioning
Display Features:
Clean visual design that doesn't obscure price action
Non-repainting elements (uses confirmed pivots only)
Minimal screen space usage with optional table
This indicator complies with TradingView's guidelines by:
Using non-repainting calculations (confirmed pivots only)
Providing clear source code with comments
Offering comprehensive customization without overcrowding
Including proper input validation
Maintaining readable visuals at all zoom levels
The tool is designed for trend identification and confirmation, suitable for various timeframes and instruments. Users should combine it with other analysis techniques for best results.
RSI Buy Sell Signals[RanaAlgo]Overview
This Premium RSI with Enhanced Signals builds upon the classic Relative Strength Index by incorporating multiple confirmation filters and visual enhancements to improve signal reliability. The indicator goes beyond basic overbought/oversold levels by adding volume confirmation, trend alignment, and peak detection logic.
Key Features
Enhanced Signal Detection
Peak Strength Filter: Requires RSI movements to meet minimum strength criteria (configurable from 1-5 bars)
Volume Confirmation: Optional volume filter to ensure signals occur with above-average trading activity
Trend Alignment: Optional trend confirmation that checks price position relative to 20-period EMA
Visual Improvements
Dynamic coloring of RSI line (green in oversold, red in overbought)
Customizable reference lines and zones
Clear buy/sell signals with triangle markers
Comprehensive info panel showing current RSI status
Alert Capabilities
Ready-to-use alert conditions for both buy and sell signals
Visual and audible alerts when signals trigger
How It Works
Core RSI Calculation: Uses standard RSI formula with configurable length (default 14)
Signal Generation:
Buy signals require either:
RSI rising from oversold with volume/trend confirmation (when enabled)
Simple crossover above oversold level (when filters disabled)
Sell signals require either:
RSI falling from overbought with volume/trend confirmation
Simple crossunder below overbought level
Additional Filters:
Minimum peak strength prevents weak, insignificant movements from generating signals
Volume filter helps confirm institutional participation
Trend filter aligns signals with broader price direction
Usage Instructions
Apply to any chart timeframe (works best on 1H or higher)
Configure settings in the input panel:
Adjust RSI length if needed
Set overbought/oversold levels (default 70/30)
Enable/disable volume and trend filters
Customize visual elements
Signals appear as triangles below/above the RSI line
Use alerts to get notified of new signals
Differentiation from Standard RSI
This indicator adds several layers of confirmation that aren't present in the basic RSI:
Multi-bar momentum requirement for peaks/troughs
Volume validation option
Trend confirmation option
Smoothed RSI line for cleaner visualization
Comprehensive info panel with current status
The combination of these features helps filter out false signals that commonly occur with traditional RSI implementations.
Correlation Coefficient📊 Correlation Coefficient (CC)
This indicator measures the statistical correlation between two selected securities over a defined period, scaled from -100 to +100.
It helps you quickly assess whether assets are moving:
Together (positive correlation)
Opposite (negative correlation)
Independently (zero correlation)
🔧 Features:
Select any two symbols (default: NIFTY & BANKNIFTY)
Adjustable length parameter for short-term or long-term correlation analysis
Clean, color-coded plot with horizontal levels to easily identify key correlation zones
📈 Useful For:
Pair trading setups
Hedging strategies
Detecting market regime shifts or intermarket divergences
⚠️ Disclaimer: This is not trading or investment advice.
This indicator is intended for informational purposes only and is not recommended for making
direct trading decisions.
$ADD LevelsThis Pine Script is designed to track and visualize the NYSE Advance-Decline Line (ADD). The Advance-Decline Line is a popular market breadth indicator, showing the difference between advancing and declining stocks on the NYSE. It’s often used to gauge overall market sentiment and strength.
1. //@version=5
This line tells TradingView to use Pine Script v5, the latest and most powerful version of Pine.
2. indicator(" USI:ADD Levels", overlay=false)
• This creates a new indicator called ” USI:ADD Levels”.
• overlay=false means it will appear in a separate pane, not on the main price chart.
3. add = request.security(...)
This fetches real-time data from the symbol USI:ADD (Advance-Decline Line) using a 1-minute timeframe. You can change the timeframe if needed.
add_symbol = input.symbol(" USI:ADD ", "Market Breadth Symbol")
add = request.security(add_symbol, "1", close)
4. Key Thresholds
These define the market sentiment zones:
Zone. Value. Meaning
Overbought +1500 Extremely bullish
Bullish +1000 Generally bullish trend
Neutral ±500 Choppy, unclear market
Bearish -1000 Generally bearish trend
Oversold -1500 Extremely bearish
5. Plot the ADD Line hline(...)
Draws static lines at +1500, +1000, +500, -500, -1000, -1500 for reference so you can visually assess where ADD stands.
6. Horizontal Threshold Lines bgcolor(...)
• Green background if ADD > +1500 → extremely bullish.
• Red background if ADD < -1500 → extremely bearish.
7. Background Highlights alertcondition(...)
• Green background if ADD > +1500 → extremely bullish.
• Red background if ADD < -1500 → extremely bearish.
8. Alert Conditions. alertcondition(...)
Lets you create automatic alerts for:
• USI:ADD being very high or low.
• Crosses above +1000 (bullish trigger).
• Crosses below -1000 (bearish trigger).
You can use these to trigger trades or monitor sentiment shifts.
Summary: When to Use It
• Use this script in a market breadth dashboard.
• Combine it with price action and volume analysis.
• Monitor for ADD crosses to signal potential market reversals or momentum.
TICK Extreme Levels & AlertsAutomatically draws horizontal lines at +1000 and -1000 TICK levels
Sends alerts when TICK crosses those levels (for potential scalping/reversal setups)
Strategy: How to Use TICK in Real-Time Trading
1. Confirm Market Breadth
Use TICK to confirm broad participation in the move:
• Long S&P futures or SPY? Only buy breakouts if TICK is above +600 to +1000
• Shorting? Confirm with TICK below –600 to –1000
2. Fade Extremes for Scalps
Look for reversals at extreme levels:
• Fade +1200+: market likely overbought short term → scalp short
• Fade –1200–: market likely oversold → scalp long
Use in combo with other signals (like price exhaustion, candlestick reversal, or VWAP touches)
3. Avoid Trading in the Choppy Zone
If TICK remains between –400 and +400, institutions are not committed. This is where fakeouts are common.
4. Time Entries with TICK Swings
For example:
• TICK moves from –800 to +600 = momentum shift → look for long entries
• TICK stalling around +1000 = momentum climax → partial profit or fade play
EMA 200 Price Deviation Alerts (1H Only)This script monitors the price deviation from the 200-period Exponential Moving Average (EMA) exclusively on the 1-hour chart. It generates alerts when the absolute difference between the current price and the EMA 200 exceeds a user-defined threshold (default: 65).
Features:
Works only on 1-hour (60-minute) charts to avoid false signals on other timeframes.
Customizable deviation threshold via script input.
Visual display of the 200 EMA on the chart.
Alert system to notify when price deviates significantly above or below the EMA.
Buy/Sell arrows shown when conditions are met:
Sell arrow appears when price is above the EMA and deviation exceeds threshold.
Buy arrow appears when price is below the EMA and deviation exceeds threshold.
Use this tool to identify potential overextended price moves relative to long-term trend support or resistance on the 1H timeframe.
Enhanced Stock Ticker with 50MA vs 200MADescription
The Enhanced Stock Ticker with 50MA vs 200MA is a versatile Pine Script indicator designed to visualize the relative position of a stock's price within its short-term and long-term price ranges, providing actionable bullish and bearish signals. By calculating normalized indices based on user-defined lookback periods (defaulting to 50 and 200 bars), this indicator helps traders identify potential reversals or trend continuations. It offers the flexibility to plot signals either on the main price chart or in a separate lower pane, leveraging Pine Script v6's force_overlay functionality for seamless integration. The indicator also includes a customizable ticker table, visual fills, and alert conditions for automated trading setups.
Key Features
Dual Lookback Indices: Computes short-term (default: 50 bars) and long-term (default: 200 bars) indices, normalizing the closing price relative to the high/low range over the specified periods.
Flexible Signal Plotting: Users can toggle between plotting crossover signals (triangles) on the main price chart (location.abovebar/belowbar) or in the lower pane (location.top/bottom) using the Plot Signals on Main Chart option.
Crossover Signals: Generates bullish (Golden Cross) and bearish (Death Cross) signals when the short or long index crosses above 5 or below 95, respectively.
Visual Enhancements:
Plots short-term (blue) and long-term (white) indices in a separate pane with customizable lookback periods.
Includes horizontal reference lines at 0, 20, 50, 80, and 100, with green and red fills to highlight overbought/oversold zones.
Dynamic fill between indices (green when short > long, red when long > short) for quick trend visualization.
Displays a ticker and legend table in the top-right corner, showing the symbol and lookback periods.
Alert Conditions: Supports alerts for bullish and bearish crossovers on both short and long indices, enabling integration with TradingView's alert system.
Technical Innovation: Utilizes Pine Script v6's force_overlay parameter to plot signals on the main chart from a non-overlay indicator, combining the benefits of a separate pane and chart-based signals in a single script.
Technical Details
Calculation Logic:
Uses confirmed bars (barstate.isconfirmed) to calculate indices, ensuring reliability by avoiding real-time bar fluctuations.
Short-term index: (close - lowest(low, lookback_short)) / (highest(high, lookback_short) - lowest(low, lookback_short)) * 100
Long-term index: (close - lowest(low, lookback_long)) / (highest(high, lookback_long) - lowest(low, lookback_long)) * 100
Signals are triggered using ta.crossover() and ta.crossunder() for indices crossing 5 (bullish) and 95 (bearish).
Signal Plotting:
Main chart signals use force_overlay=true with location.abovebar/belowbar for precise alignment with price bars.
Lower pane signals use location.top/bottom for visibility within the indicator pane.
Plotting is controlled by boolean conditions (e.g., bullishLong and plot_on_chart) to ensure compliance with Pine Script's global scope requirements.
Performance Considerations: Optimized for efficiency by calculating indices only on confirmed bars and using lightweight plotting functions.
How to Use
Add to Chart:
Copy the script into TradingView's Pine Editor and add it to your chart.
Configure Settings:
Short Lookback Period: Adjust the short-term lookback (default: 50 bars) to match your trading style (e.g., 20 for shorter-term analysis).
Long Lookback Period: Adjust the long-term lookback (default: 200 bars) for broader market context.
Plot Signals on Main Chart: Check this box to display signals on the price chart; uncheck to show signals in the lower pane.
Interpret Signals:
Golden Cross (Bullish): Green (long) or blue (short) triangles indicate the index crossing above 5, suggesting a potential buying opportunity.
Death Cross (Bearish): Red (long) or white (short) triangles indicate the index crossing below 95, signaling a potential selling opportunity.
Set Alerts:
Use TradingView's alert system to create notifications for the four alert conditions: Long Index Valley, Long Index Peak, Short Index Valley, and Short Index Peak.
Customize Visuals:
The ticker table displays the symbol and lookback periods in the top-right corner.
Adjust colors and styles via TradingView's settings if desired.
Example Use Cases
Swing Trading: Use the short-term index (e.g., 50 bars) to identify short-term reversals within a broader trend defined by the long-term index.
Trend Confirmation: Monitor the fill between indices to confirm whether the short-term trend aligns with the long-term trend.
Automated Trading: Leverage alert conditions to integrate with bots or manual trading strategies.
Notes
Testing: Always backtest the indicator on your chosen market and timeframe to validate its effectiveness.
Optional Histogram: The script includes a commented-out histogram for the index difference (index_short - index_long). Uncomment the plot(index_diff, ...) line to enable it.
Compatibility: Built for Pine Script v6 and tested on TradingView as of May 27, 2025.
Acknowledgments
This indicator was inspired by the need for a flexible tool that combines lower-pane analysis with main chart signals, made possible by Pine Script's force_overlay feature. Share your feedback or suggestions in the comments below, and happy trading!
magic wand STSM"Magic Wand STSM" Strategy: Trend-Following with Dynamic Risk Management
Overview:
The "Magic Wand STSM" (Supertrend & SMA Momentum) is an automated trading strategy designed to identify and capitalize on sustained trends in the market. It combines a multi-timeframe Supertrend for trend direction and potential reversal signals, along with a 200-period Simple Moving Average (SMA) for overall market bias. A key feature of this strategy is its dynamic position sizing based on a user-defined risk percentage per trade, and a built-in daily and monthly profit/loss tracking system to manage overall exposure and prevent overtrading.
How it Works (Underlying Concepts):
Multi-Timeframe Trend Confirmation (Supertrend):
The strategy uses two Supertrend indicators: one on the current chart timeframe and another on a higher timeframe (e.g., if your chart is 5-minute, the higher timeframe Supertrend might be 15-minute).
Trend Identification: The Supertrend's direction output is crucial. A negative direction indicates a bearish trend (price below Supertrend), while a positive direction indicates a bullish trend (price above Supertrend).
Confirmation: A core principle is that trades are only considered when the Supertrend on both the current and the higher timeframe align in the same direction. This helps to filter out noise and focus on stronger, more confirmed trends. For example, for a long trade, both Supertrends must be indicating a bearish trend (price below Supertrend line, implying an uptrend context where price is expected to stay above/rebound from Supertrend). Similarly, for short trades, both must be indicating a bullish trend (price above Supertrend line, implying a downtrend context where price is expected to stay below/retest Supertrend).
Trend "Readiness": The strategy specifically looks for situations where the Supertrend has been stable for a few bars (checking barssince the last direction change).
Long-Term Market Bias (200 SMA):
A 200-period Simple Moving Average is plotted on the chart.
Filter: For long trades, the price must be above the 200 SMA, confirming an overall bullish bias. For short trades, the price must be below the 200 SMA, confirming an overall bearish bias. This acts as a macro filter, ensuring trades are taken in alignment with the broader market direction.
"Lowest/Highest Value" Pullback Entries:
The strategy employs custom functions (LowestValueAndBar, HighestValueAndBar) to identify specific price action within the recent trend:
For Long Entries: It looks for a "buy ready" condition where the price has found a recent lowest point within a specific number of bars since the Supertrend turned bearish (indicating an uptrend). This suggests a potential pullback or consolidation before continuation. The entry trigger is a close above the open of this identified lowest bar, and also above the current bar's open.
For Short Entries: It looks for a "sell ready" condition where the price has found a recent highest point within a specific number of bars since the Supertrend turned bullish (indicating a downtrend). This suggests a potential rally or consolidation before continuation downwards. The entry trigger is a close below the open of this identified highest bar, and also below the current bar's open.
Candle Confirmation: The strategy also incorporates a check on the candle type at the "lowest/highest value" bar (e.g., closevalue_b < openvalue_b for buy signals, meaning a bearish candle at the low, suggesting a potential reversal before a buy).
Risk Management and Position Sizing:
Dynamic Lot Sizing: The lotsvalue function calculates the appropriate position size based on your Your Equity input, the Risk to Reward ratio, and your risk percentage for your balance % input. This ensures that the capital risked per trade remains consistent as a percentage of your equity, regardless of the instrument's volatility or price. The stop loss distance is directly used in this calculation.
Fixed Risk Reward: All trades are entered with a predefined Risk to Reward ratio (default 2.0). This means for every unit of risk (stop loss distance), the target profit is rr times that distance.
Daily and Monthly Performance Monitoring:
The strategy tracks todaysWins, todaysLosses, and res (daily net result) in real-time.
A "daily profit target" is implemented (day_profit): If the daily net result is very favorable (e.g., res >= 4 with todaysLosses >= 2 or todaysWins + todaysLosses >= 8), the strategy may temporarily halt trading for the remainder of the session to "lock in" profits and prevent overtrading during volatile periods.
A "monthly stop-out" (monthly_trade) is implemented: If the lres (overall net result from all closed trades) falls below a certain threshold (e.g., -12), the strategy will stop trading for a set period (one week in this case) to protect capital during prolonged drawdowns.
Trade Execution:
Entry Triggers: Trades are entered when all buy/sell conditions (Supertrend alignment, SMA filter, "buy/sell situation" candle confirmation, and risk management checks) are met, and there are no open positions.
Stop Loss and Take Profit:
Stop Loss: The stop loss is dynamically placed at the upTrendValue for long trades and downTrendValue for short trades. These values are derived from the Supertrend indicator, which naturally adjusts to market volatility.
Take Profit: The take profit is calculated based on the entry price, the stop loss, and the Risk to Reward ratio (rr).
Position Locks: lock_long and lock_short variables prevent immediate re-entry into the same direction once a trade is initiated, or after a trend reversal based on Supertrend changes.
Visual Elements:
The 200 SMA is plotted in yellow.
Entry, Stop Loss, and Take Profit lines are plotted in white, red, and green respectively when a trade is active, with shaded areas between them to visually represent risk and reward.
Diamond shapes are plotted at the bottom of the chart (green for potential buy signals, red for potential sell signals) to visually indicate when the buy_sit or sell_sit conditions are met, along with other key filters.
A comprehensive trade statistics table is displayed on the chart, showing daily wins/losses, daily profit, total deals, and overall profit/loss.
A background color indicates the active trading session.
Ideal Usage:
This strategy is best applied to instruments with clear trends and sufficient liquidity. Users should carefully adjust the Your Equity, Risk to Reward, and risk percentage inputs to align with their individual risk tolerance and capital. Experimentation with different ATR Length and Factor values for the Supertrend might be beneficial depending on the asset and timeframe.
S&P 500 & Normalized CAPE Z-Score AnalyzerThis macro-focused indicator visualizes the historical valuation of the U.S. equity market using the CAPE ratio (Shiller P/E), normalized over its long-term average and standard deviations. It helps traders and investors identify overvaluation and undervaluation zones over time, combining both statistical signals and historical context.
💡 Why It’s Useful
This indicator is ideal for macro traders and long-term investors looking to contextualize equity valuations across decades. It helps identify statistical extremes in valuation by referencing the standard deviation of the CAPE ratio relative to its long-term mean. The overlay of S&P 500 price with valuation zones provides a visual confirmation tool for macro decisions or timing insights.
It includes:
✅ Three display modes:
-S&P 500 (color-coded by CAPE valuation zone)
-Normalized CAPE (vs. long-term mean)
-CAPE Z-Score (standardized measure)
🎯 How to Interpret
Dynamic coloring of the S&P 500 price based on CAPE valuation:
🔴 Z > +2σ → Highly Overvalued
🟠 Z > +1σ → Overvalued
⚪ -1σ < Z < +1σ → Neutral
🟢 Z < -1σ → Undervalued
✅ Z < -2σ → Strong Buy Zone
-Live valuation label showing the current CAPE, Z-score, and zone.
-Macro event shading: major historical events (e.g. Great Depression, Oil Crisis, Dot-com Bubble, COVID Crash) are shaded on the chart for context.
✅ Built-in alerts:
CAPE > +2σ → Potential risk zone
CAPE < -2σ → Potential opportunity zone
📊 Use Cases
This indicator is ideal for:
🧠 Macro traders seeking long-term valuation extremes.
📈 Portfolio managers monitoring systemic valuation risk.
🏛️ Long-term investors timing strategic allocation shifts.
🧪 How It Works
CAPE ratio (Shiller PE) is retrieved from Quandl (MULTPL/SHILLER_PE_RATIO_MONTH).
The script calculates the long-term average and standard deviation of CAPE.
The Z-score is computed as:
(CAPE - Mean) / Standard Deviation
Users can switch between:
S&P 500 chart, color-coded by CAPE valuation zones.
Normalized CAPE, centered around zero (historic mean).
CAPE Z-score, showing statistical positioning directly.
Visual bands represent +1σ, +2σ, -1σ, -2σ thresholds.
You can switch between modes using the “Display” dropdown in the settings panel.
📊 Data Sources
CAPE: MULTPL/SHILLER_PE_RATIO_MONTH via Quandl
S&P 500: Monthly close prices of SPX (TradingView data)
All data updated on monthly resolution
This is not a repackaged built-in or autogenerated script. It’s a custom-built and interactive indicator designed for educational and analytical use in macroeconomic valuation studies.
EMD Trend [InvestorUnknown]EMD Trend is a dynamic trend-following indicator that utilizes Exponential Moving Deviation (EMD) to build adaptive channels around a selected moving average. Designed for traders who value responsive trend signals with built-in volatility sensitivity, this tool highlights directional bias, market regime shifts, and potential breakout opportunities.
How It Works
Instead of using standard deviation, EMD Trend employs the exponential moving average of the absolute deviation from a moving average—producing smoother, faster-reacting upper and lower bounds:
Bullish (Risk-ON Long): Price crosses above the upper EMD band
Bearish (Risk-ON Short): Price crosses below the lower EMD band
Neutral: Price stays within the channel, indicating potential mean reversion or low momentum
Trend direction is defined by price interaction with these bands, and visual cues (color-coded bars and fills) help quickly identify market conditions.
Features
7 Moving Average Types: SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA
Custom Price Source: Choose close, hl2, ohlc4, or others
EMD Multiplier: Controls the width of the deviation envelope
Bar Coloring: Candles change color based on current trend
Intra-bar Signal Option: Enables faster updates (with optional repainting)
Speculative Zones: Fills highlight aggressive momentum moves beyond EMD bounds
Backtest Mode
Switch to Backtest Mode for performance evaluation over historical data:
Equity Curve Plot: Compare EMD Trend strategy vs. Buy & Hold
Trade Metrics Table: View number of trades, win/loss stats, profits
Performance Metrics Table: Includes CAGR, Sharpe, max drawdown, and more
Custom Start Date: Select from which date the backtest should begin
Trade Sizing: Configure capital and trade percentage per entry
Signal Filters: Choose from Long Only, Short Only, or Both
Alerts
Built-in alerts let you automate entries, exits, and trend transitions:
LONG (EMD Trend) - Trend flips to Long
SHORT (EMD Trend) - Trend flips to Short
RISK-ON LONG - Price crosses above upper EMD band
RISK-OFF LONG - Price crosses back below upper EMD band
RISK-ON SHORT - Price crosses below lower EMD band
RISK-OFF SHORT - Price crosses back above lower EMD band
Use Cases
Trend Confirmation with volatility-sensitive boundaries
Momentum Entry Filtering via breakout zones
Mean Reversion Avoidance in sideways markets
Backtesting & Strategy Building with real-time metrics
Disclaimer
This indicator is intended for informational and educational purposes only. It does not constitute investment advice. Historical performance does not guarantee future results. Always backtest and use in simulation before live trading.
