Mean Reversion IndicatorMean Reversion Indicator
This indicator generates buy and sell signals based on a mean reversion framework.
Buy signals appear when price conditions suggest oversold levels with confirmation filters applied.
Sell signals appear when price conditions suggest overbought levels or profit-taking opportunities.
Includes background shading to highlight the backtest window.
Alerts are available for both Buy and Sell signals, so users can receive notifications in real-time.
⚠️ This indicator is for analysis and alerts only. It does not include strategy backtesting or trade execution.
X-indicator
SMA+MACD+RSI+Stoch Entry📌 Tools Used:
• SMA 21, SMA 50, SMA 200
• MACD (12, 26, 9)
• Pivot Point Standard
• RSI (length 75)
• Stochastic (14, 3, 3)
Trading Timeframe:
• Usable on all timeframes
Chart Preparation:
• Analyze the overall market trend and the instrument being traded
• Set an appropriate timeframe according to the market
• Apply SMA 21, SMA 50, SMA 200
• Apply MACD and Pivot Point Standard
• Ensure a proper market trend by checking the position of SMA 21, SMA 50, and SMA 200 relative to each other
If there are too many crossings between SMA 21, SMA 50, and SMA 200, do not enter any trades until the market trend stabilizes
Conditions for Entering a Long Trade (Bullish Trigger):
• Candle closes above the pivot line
• Confirm an uptrend by checking that SMA 21 is above SMA 50, and SMA 50 is above SMA 200
• RSI is above the midpoint
• Presence of a suitable corrective step with normal slope, considering the strength of the previous step
• MACD histogram indicates bullish momentum
• Stochastic shows a bullish crossover from below
Conditions for Entering a Short Trade (Bearish Trigger):
• Candle closes below the pivot line
• Confirm a downtrend by checking that SMA 21 is below SMA 50, and SMA 50 is below SMA 200
• RSI is below the midpoint
• Presence of a suitable corrective step with normal slope, considering the strength of the previous step
• MACD histogram indicates bearish momentum
• Stochastic shows a bearish crossover from above
Forecasting Quadratic Regression [UPDATED V6] Forecasting Quadratic Regression applies a second-degree polynomial regression model to price data, offering a non-linear alternative to traditional linear regression. By fitting a quadratic curve of the form:
y=a+bx+cx2
the indicator captures both directional trend and curvature, allowing traders to detect momentum shifts earlier than with straight-line models.
🔹 Core Features
Fits a quadratic regression curve to user-defined lookback periods
Extends the fitted curve forward to generate forecast projections
Calculates slope curvature to highlight trend acceleration or deceleration
Adapts dynamically as new bars are added
🔹 Trading Applications
Identify potential reversal zones when the curve inflects (2nd derivative sign change)
Forecast near-term mean reversion targets or extended trend continuations
Filter trades by measuring momentum curvature rather than linear slope
Visualize higher-order structure in price beyond standard regression lines
⚠️ Note: This model is statistical and assumes past curvature informs short-term future price paths. It should be combined with confirmation signals (volume, oscillators, support/resistance) to reduce false inflection points.
Mean Reversion & Momentum Hybrid | D_QUANT 📌 Mean Reversion & Momentum Hybrid | D_QUANT
📖 Description:
This indicator combines mean reversion logic, volatility filtering, and percentile-based momentum to deliver clear, context-aware buy/sell signals designed for trend-following and contrarian setups.
At its core, it merges:
A Bollinger Band % Positioning Model (BB%)
A 75th/25th Percentile Momentum System
A Volatility-Adjusted Trend Filter using RMA + ATR
All tied together with a dynamic gradient-style oscillator that visualizes signal strength and persistence over time — making it easy to track high-conviction setups.
Signals only trigger when all three core components align, filtering out noise and emphasizing high-probability turning points or trend continuations.
⚙️ Methodology Overview:
Bollinger Bands % (BB%):
Price is measured as a percentage between upper and lower Bollinger Bands (based on OHLC4). Entries are only considered when price exceeds custom BB% thresholds — emphasizing market extremes.
Volatility-Based Trend Filter (RMA + ATR):
A smoothed RMA baseline is paired with ATR to define trend bias. This ensures signals only occur when price deviates meaningfully beyond recent volatility.
Percentile Momentum Model (75th/25th Rank):
Price is compared against its rolling 75th and 25th percentile. If price breaks these statistical boundaries (adjusted by ATR), it triggers a directional momentum condition.
Signal Consensus Engine:
All three layers must agree — BB% condition, trend filter, and percentile momentum — before a buy or sell signal is plotted.
Gradient Oscillator Visualization:
Signals appear as a fading oscillator line with a gradient-filled area beneath it. The color intensity represents how “fresh” or “strong” the signal is, fading over time if not reconfirmed, offering both clarity and signal aging at a glance.
🔧 User Inputs:
🧠 Core Settings:
Source: Select the price input (default: close)
Bollinger Bands Length: Period for BB basis and deviation
Bollinger Bands Multiplier: Width of the bands
Minimum BB Width (% of Price): Prevents signals during low-volatility chop
📊 BB% Thresholds:
BB% Long Threshold (L): Minimum %B to consider a long
BB% Short Threshold (S): Maximum %B to consider a short
🔍 Trend Filter Parameters:
RMA Length: Period for the smoothed trend baseline
ATR Length: Lookback for ATR in trend deviation filter
⚡️ Momentum Parameters:
Momentum Length: Period for percentile momentum calculation
Mult_75 / Mult_25: ATR-adjusted thresholds for breakout above/below percentile levels
🎨 Visualization:
Bar Coloring: Highlights candles during active signals
Background Coloring: Optional background shading for signals
Show Oscillator Plot: Toggle the gradient-style oscillator
🧪 Use Case:
This indicator works well across all assets for trend identification. It is particularly effective when used on higher timeframes (e.g. 12H, 1D,2D) to capture mean reversion bounces or confirm breakouts backed by percentile momentum and volatility expansion.
⚠️ Notes:
This is not financial advice. Use in combination with proper risk management and confluence from other tools.
SBC ProtfoSBC Portfo PNL Indicator
Description
The SBC Portfo PNL Indicator is a user-friendly tool designed for Hebrew-speaking traders to track the Profit and Loss (PNL) of their stock portfolios on TradingView charts. It supports up to 5 distinct portfolios, each capable of holding an unlimited number of stocks with unlimited buy commands, allowing real-time monitoring of portfolio performance.
Key Features
- Multi-Portfolio Support: Track up to 5 separate portfolios for different trading strategies or accounts.
- Unlimited Stock Entries: Add unlimited stocks and buy commands per portfolio.
- Detailed Buy Commands: Input for each stock:
- Stock Ticker (e.g., AAPL, TSLA).
- Buy Price (e.g., 150.25).
- Buy Amount (e.g., 10).
- Hebrew-Friendly Interface: Intuitive settings dialog with clear instructions in Hebrew.
- Customizable PNL Tracking: Visualize PNL on charts with real-time updates based on market data.
How to Use
1. Add the Indicator:
- Go to the Indicators menu in TradingView and add the "SBC Portfo" PNL Indicator.
2. Configure Portfolios:
- Open the indicator’s settings dialog.
- For each portfolio (up to 5), enter data in the provided input fields using this format:
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
Example:
Portfolio1:AAPL:150.25x10;TSLA:266.72x5
- This represents a portfolio named "Portfolio1" with:
- 10 shares of AAPL bought at $150.25.
- 5 shares of TSLA bought at $266.72.
- Repeat for additional portfolios (e.g., Portfolio2, Portfolio3).
- Add multiple buy commands for the same stock if needed (e.g., AAPL:160.50x20).
3. Apply Settings:
- Save settings to display PNL based on current market prices.
4. Monitor PNL:
- View PNL for each portfolio on the chart via tables, labels, or graphical overlays (based on settings).
Input Format
Enter portfolio data manually in the settings dialog, one input field per portfolio:
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
- PortfolioName: Unique name (e.g., Portfolio1, Growth).
- StockTicker: Stock symbol (e.g., AAPL).
- BuyPrice: Purchase price per share (e.g., 150.25).
- BuyAmount: Number of shares (e.g., 10).
- Use
: to separate portfolio name, ticker, and buy data
x to separate price and amount
; for multiple stocks in the portfolio
Example:
- Portfolio 1: GrowthPortfolio:AAPL:150.25x10;TSLA:266.72x5
- Portfolio 2: DividendPortfolio:KO:55.20x50;PG:145.30x30
Notes
- Hebrew Support: Settings and labels are optimized for Hebrew users.
- Manual Input: Enter portfolio data manually in the settings dialog using the correct format.
- Compatibility: Works with any stock ticker supported by TradingView.
תיאור אינדיקטור SBC Portfo PNL הוא כלי ידידותי למשתמש שתוכנן במיוחד עבור סוחרים דוברי עברית למעקב אחר רווח והפסד (PNL) של תיקי המניות שלהם ישירות בגרפים של TradingView. הוא תומך בעד 5 תיקים נפרדים, כאשר כל תיק יכול להכיל מספר בלתי מוגבל של מניות עם פקודות קנייה בלתי מוגבלות, ומאפשר מעקב בזמן אמת אחר ביצועי התיק.
תכונות עיקריות
- תמיכה בריבוי תיקים: מעקב אחר עד 5 תיקים נפרדים עבור אסטרטגיות מסחר או חשבונות שונים.
- רישום מניות ללא הגבלה: הוספת מספר בלתי מוגבל של מניות ופקודות קנייה לכל תיק.
- פקודות קנייה מפורטות: הזנת נתונים עבור כל מניה:
- סימול המניה (למשל, AAPL, TSLA).
- מחיר קנייה (למשל, 150.25).
- כמות קנייה (למשל, 10).
- ממשק ידידותי לעברית: חלונית הגדרות אינטואיטיבית עם הוראות ברורות בעברית.
- מעקב PNL הניתן להתאמה: הצגת רווח והפסד בגרפים עם עדכונים בזמן אמת בהתבסס על נתוני השוק.
כיצד להשתמש
1. הוספת האינדיקטור:
- נווט לתפריט האינדיקטורים ב-TradingView והוסף את "SBC Portfo PNL Indicator".
2. הגדרת תיקים:
- פתח את חלונית ההגדרות של האינדיקטור.
- עבור כל תיק (עד 5), הזן נתונים בשדות המסופקים בפורמט הבא:
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
לדוגמה:
Portfolio1:AAPL:150.25x10;TSLA:266.72x5
שורה זו מייצגת תיק בשם "Portfolio1" עם:
- 10 מניות של AAPL שנקנו ב-$150.25.
- 5 מניות של TSLA שנקנו ב-$266.72.
- חזור על התהליך עבור תיקים נוספים (למשל, Portfolio2, Portfolio3).
- ניתן להוסיף פקודות קנייה מרובות לאותה מניה לפי הצורך (למשל, AAPL:160.50x20).
3. החלת ההגדרות:
- שמור את ההגדרות להצגת ה-PNL בהתבסס על מחירי השוק הנוכחיים.
4. מעקב אחר PNL:
- צפה ב-PNL עבור כל תיק בגרף באמצעות טבלאות, תוויות או שכבות גרפיות (בהתאם להגדרות).
פורמט קלט הזן נתוני תיק ידנית בחלונית ההגדרות, שדה קלט אחד לכל תיק: PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
PortfolioName: שם ייחודי (למשל, Portfolio1, Growth).
StockTicker: סימול המניה (למשל, AAPL).
BuyPrice: מחיר רכישה למניה (למשל, 150.25).
BuyAmount: מספר המניות (למשל, 10).
השתמש ב-
: להפרדה בין שם התיק, סימול ונתוני קנייה
x להפרדה בין מחיר וכמות
; להפרדה בין מניות מרובות
דוגמה:
- תיק 1: GrowthPortfolio:AAPL:150.25x10;TSLA:266.72x5
- תיק 2: DividendPortfolio:KO:55.20x50;PG:145.30x30
Release Notes
Version 1.1 includes:
- Calculations for extended hours (Pre-Market & After-Hours).
- Option to display portfolio summary data for stocks not in the portfolio (enable via settings checkbox).
- Table background for better visibility; click to bring table to the front.
- Updated text strings (names, titles, tooltips).
הערות
תמיכה בעברית: ההגדרות והתוויות מותאמות למשתמשים דוברי עברית.
הזנה ידנית: הזן נתוני תיק ידנית בחלונית ההגדרות תוך שימוש בפורמט הנכון.
תאימות: עובד עם כל סימול מניה הנתמך על ידי TradingView.
גרסה 1.1 מכילה:
1. חישובים כוללים שעות מסחר מורחבות (Pre-Market ו-After-Hours).
2. אפשרות להציג נתוני תיק כוללים עבור מניות שאינן בתיק (הפעל באמצעות תיבת סימון בהגדרות).
3. צבע רקע לטבלה לשיפור הנראות; לחיצה על הטבלה מביאה אותה לחזית.
4. תיקון נוסחים (שמות, כותרות, וטולטיפים).
30-Day Rolling VWAP30-Day Rolling VWAP (30-RVWAP)
Overview:
The 30-Day Rolling VWAP is an advanced technical analysis tool designed for crypto traders that combines Volume Weighted Average Price over a 30-day rolling window with sophisticated volume analysis to generate high-probability trading signals.
Key Features:
1. Dynamic Color-Coded VWAP Line
Green glow = Strong bullish pressure
Red glow = Strong bearish pressure
Gray = Neutral/balanced market
The line changes color based on volume-weighted directional pressure
2. Volume Pressure Zones
Multi-layered glowing fill effect around VWAP
Expands/contracts based on volatility and volume
Shows potential support/resistance zones
3. Smart Alert System
Buy/Sell alerts based on VWAP color change
Cross above/below VWAP alerts
Confidence levels based on pressure strength
How to Use:
1. Color Signals
When VWAP turns green: Consider buying (bullish pressure)
When VWAP turns red: Consider selling (bearish pressure)
Gray color indicates consolidation/neutral market
2. Alert Structure
Buy/Sell alerts include confidence percentage (0-100%)
Higher confidence = stronger directional pressure
Cross alerts notify when price crosses VWAP with distance
3. Volume Pressure Zones
Wider zones = higher volatility/volume
Use zones as dynamic support/resistance levels
Watch for price reactions at zone boundaries
4. Trading Strategy
Enter long when VWAP turns green with high confidence (60%+)
Enter short when VWAP turns red with high confidence
Use VWAP as trailing stop (exit when cross alerts trigger)
Use pressure zones for profit targets
5. Alert Messages
Buy Signal: "BTCUSDT | 15m | BUY Signal | Price: 42380.00 | VWAP: 42350.00 | Distance: 0.07% | Confidence: 78% due to strong bullish pressure"
Cross Alert: "BTCUSDT | 15m | CROSS ABOVE VWAP | Price: 42360.00 | VWAP: 42350.00 | Distance: 0.02%"
Best Practices:
Use higher timeframes (4H+) for trend direction; preferably **daily timeframe**
Combine with other indicators for confirmation
Monitor volume for signal validation
Consider market context when entering trades
The indicator combines multiple volume metrics to filter out false signals and provides clear visual and alert-based trading signals.
THMA VWAP Oscillator [by Oberlunar]The THMA VWAP Oscillator of Oberlunar is a trend-following and liquidity-sensitive indicator that blends the Triple Hull Moving Average (THMA) with Volume Weighted Average Price (VWAP) deviation bands to highlight high-probability trading setups. It helps traders differentiate between healthy momentum moves and market noise , making it an effective tool for spotting trend continuations, reversals, and mean reversion trades .
At its core, the THMA is an advanced moving average that smooths price action while minimizing lag. Unlike conventional moving averages that react slowly, the THMA dynamically adapts to market conditions by applying a weighted smoothing process. This allows it to react more efficiently to momentum shifts , making it ideal for trend-following and breakout strategies .
The VWAP acts as a volume-weighted price equilibrium, giving traders a framework for understanding institutional positioning. Since VWAP considers both price and volume , it helps determine whether the market is trading at a premium or a discount relative to where most of the volume has transacted. The inclusion of VWAP deviation bands , derived from standard deviations, enhances the ability to detect overbought and oversold conditions , ensuring that signals align with key liquidity levels.
The indicator generates buy and sell signals based on a structured methodology that incorporates trend direction, liquidity positioning, and momentum confirmation . A buy signal is triggered when the THMA on a higher timeframe is positioned below the THMA of the current timeframe, indicating that the broader trend is supportive of an upward move. Additionally, the THMA must be trading below the lower VWAP deviation band , suggesting that price is in a discounted liquidity zone, which is often an area where institutional buyers step in. To ensure that the signal is not just a random fluctuation, the THMA must also show positive slope , meaning it is actively rising, confirming that price is attempting to reverse or continue its upward move with strength.
A sell signal follows the same logic in reverse. The THMA on a higher timeframe must be above the THMA of the current timeframe, confirming alignment with a broader downtrend. The THMA must also be positioned above the upper VWAP deviation band , signaling that price is extended and potentially due for a reversal. To validate that the momentum is actually weakening, the THMA must be in a declining slope , ensuring that price is not simply pausing but actually entering a phase of downward acceleration.
One of the key nuances of the THMA VWAP Oscillator is how it visually represents momentum through the serpentine line , which dynamically shifts color as it develops. When the serpentine line maintains a consistent color—green in an uptrend or red in a downtrend—it signals strong trend conviction . However, when the color fluctuates rapidly between green and red, it indicates a weakening signal , suggesting that price action is becoming choppy and trend strength is deteriorating. This alternation in color serves as an early warning of potential reversals, false breakouts, or trend exhaustion. Traders should be cautious when signals appear in conjunction with an unstable serpentine, as they are less likely to be reliable in such conditions.
To further enhance signal quality, the indicator incorporates a signal alternation mechanism , ensuring that consecutive buy or sell signals do not appear unless the previous trade setup has been invalidated. This helps prevent overtrading in consolidating markets and reduces the chances of chasing false breakouts. Additionally, the placement of buy and sell labels is optimized using ATR-based scaling , positioning them strategically above or below price action to maintain chart clarity without interfering with live price movements.
By integrating trend structure, liquidity positioning, and signal validation , the THMA VWAP Oscillator provides a structured approach to trade execution. It is particularly effective for traders looking to capture breakout moves, pullback entries, and mean reversion opportunities , as it ensures that entries are aligned with market momentum, institutional positioning, and price equilibrium dynamics . The ability to filter out weak signals while identifying strong momentum trends makes it an indispensable tool for trend-followers, breakout traders, and mean reversion specialists alike .
I am very pleased to share that I am publicly releasing one of my private indicators, which I usually provide exclusively to my community. This is a significant moment for me, as this tool has been carefully refined and tested to offer high-quality trading insights.
I also want to take this opportunity to thank my entire community for the incredible support I have received over the past few months. Your feedback, engagement, and enthusiasm continue to inspire me, and I truly appreciate being part of this journey with all of you.
Stay tuned for more updates, and as always, trade smart! 🚀
Multi Timeframe 8x MA Support Resistance Zones [SiDec]Multi-Timeframe Moving Average Support/Resistance Zones: The Ultimate Trading Power Tool
Indicator Overview
Get ready to elevate your trading game with the Multi-Timeframe Moving Average Support/Resistance Zones indicator. This advanced tool is engineered for traders who want to maximize efficiency without constantly switching between timeframes. By dynamically plotting support and resistance zones using the 21 SMA and 21 EMA, it reveals crucial price levels where trends may pause, reverse, or accelerate—giving you actionable insights in a fraction of the time.
Imagine seeing all the relevant timeframe zones on one chart, without ever needing to flip between timeframes—saving you time and allowing you to focus on what really matters.
Core Features
Dynamic Zones That Adjust in Real-Time:
The area between the 21 EMA and 21 SMA is shaded, forming a "zone" on your chart. This dynamic zone adjusts live as price moves, keeping you in sync with current market behavior across multiple timeframes.
By showing these zones across all your selected timeframes, you can view everything you need at a glance—no time wasted jumping between charts.
All Timeframes, One View:
With the ability to view multiple timeframe zones simultaneously (from 5-minute to Monthly), this tool helps you spot key levels quickly without switching between timeframes. You’ll see how price interacts with these levels across different timeframes without ever having to change charts.
Higher timeframes show broader, more significant zones—giving you the market's big picture—while intraday zones help you fine-tune your entries.
Customisable Like Never Before:
Toggle Timeframes: Only activate the timeframes you care about—no distractions, just pure focus.
Color Your World: Assign different colors to each timeframe for instant visual cues (e.g., blue for Daily, gold for Weekly). This makes it easy to identify key zones across all timeframes at a glance.
Why You Need This Tool
Instant Trend Confirmation: Track how price interacts with multiple timeframe zones to confirm bullish or bearish momentum in real-time.
Confluence = High Confidence: When zones from multiple timeframes overlap, you’ve found a high-probability reversal area. This is where the market is likely to turn, and where your edge lies.
Efficiency at Its Best: No more switching between timeframes—everything you need is in one place, giving you more time to trade and less time spent on analysis.
Configuration Instructions
1.) Timeframe Selection:
Choose which timeframes to display using the Timeframe Selection panel.
Intraday Focus: 5m, 15m, 1H.
Swing/Long-Term Focus: 4H, 12H, Daily, Weekly, Monthly.
Color Coding: Assign a distinct color to each timeframe for instant identification—like having a personal color-coded trading roadmap.
2.) MA Settings:
MA Types:
21 EMA: Perfect for capturing short-term trends and fast price action.
21 SMA: The smooth operator for spotting longer-term trends with more consistency.
Recommended Periods: The 21-period MA works wonders for trend detection across various timeframes. You can also integrate Fibonacci-based MAs (e.g., 55, 233) for enhanced confluence.
3.) Visual Tweaks:
Opacity: Adjust the zone transparency (80-90% opacity keeps it visible yet non-intrusive).
Zone Extensions: Customize how far zones extend backward and forward, capturing the full impact of support/resistance levels.
Labels: Show real-time MA values and timeframe-specific details for further clarity.
Trading Strategies That Pack a Punch
1.) Trend Confirmation:
Uptrend: Price staying above the 21 EMA and 21 SMA suggests a bullish trend.
Downtrend: Price holding below these MAs signals a bearish market.
2.) Zone-Based Reversals:
Entry: Look for price to retrace to a higher timeframe support zone (e.g., Daily 21 SMA) with confirmation from oversold/overbought indicators like RSI.
Exit: Time to sell when price breaks through a critical zone, like the 4H 21 EMA.
3.) Confluence Trading:
Combine the zones with other indicators to amplify your trade setups:
Fibonacci Levels: When a 61.8% retracement lines up with an MA zone, you’ve found a high-confluence area.
Volume Profile: High-volume nodes near key zones strengthen their significance.
Best Practices for Maximum Profit
Focus on Higher Timeframes: Weekly and Monthly zones carry more weight, making them more significant in decision-making.
Avoid Clutter: If you’re trading higher timeframes, disable intraday timeframes like 5m and 15m to keep your chart clear and focused.
Risk Management: Zones are probabilities, not guarantees. Always use stop-loss orders to protect your trades.
Example of a Winning Setup
Scenario:
Price retraces to the 1H 21 EMA zone.
The Daily 21 SMA zone is nearby—talk about confluence!
RSI shows oversold conditions, indicating a potential reversal.
Action:
Enter long on a bullish candlestick pattern (e.g., bullish engulfing).
Set your stop-loss just below the Daily 21 SMA zone.
Target the next higher timeframe resistance.
Performance Considerations
Repainting Risk: Zones might slightly adjust with the formation of new bars, but the changes will typically be minimal.
Enhance with Oscillators: Use momentum indicators like MACD or Stochastic and volume analysis for even more confirmation.
Conclusion
The Multi-Timeframe Moving Average Support/Resistance Zones indicator isn’t just a tool—it’s a game-changer. With the ability to view all relevant timeframe zones on one chart, you can make decisions faster, spot high-confluence areas, and trade with greater precision. The time you save by not switching between timeframes can make all the difference in your trading success.
Maximise your trading edge—harness the power of multi-timeframe analysis, gain more time to trade, and dominate the market like never before. 📊🔍
TVMC - Composite Indicator with Technical RatingsDescription:
The TVMC (Trend, Volume, Momentum, Composite) indicator is a powerful multi-component tool designed to provide traders with a comprehensive understanding of market conditions. By combining four essential technical analysis components—trend, momentum, volume, and volatility—this indicator offers clear and actionable insights to assist in decision-making.
Key Features:
1. Trend Component (TC):
* Based on MACD (Moving Average Convergence Divergence), this component analyzes the relationship between two exponential moving averages (fast and slow) to determine the prevailing market trend.
* The MACD signal is normalized to a range of -1 to +1 for consistency and clarity.
2. Momentum Component (MC):
* Utilizes RSI (Relative Strength Index) to measure the strength and speed of price movements.
* This component highlights overbought or oversold conditions, which may indicate potential market reversals.
3. Volume Confirmation (VC):
* Compares the current trading volume to its moving average over a specified period.
* High volume relative to the average confirms the validity of the current trend.
4. Volatility Filter (VF):
* Uses ATR (Average True Range) to gauge market volatility.
* Adjusts and smooths signals to reduce noise during periods of high volatility.
5. Technical Ratings Integration:
* Incorporates TradingView’s Technical Ratings, allowing users to validate signals using moving averages, oscillators, or a combination of both.
* Users can choose their preferred source of ratings for enhanced signal confirmation.
How It Works:
The TVMC indicator combines the weighted contributions of the Trend, Momentum, and Volume components, further refined by the Volatility Filter. Each component plays a specific role:
* Trend: Identifies whether the market is bullish, bearish, or neutral.
* Momentum: Highlights the strength of price action.
* Volume: Confirms whether the current price action is supported by sufficient trading activity.
* Volatility: Filters out excessive noise in volatile market conditions, providing a smoother and more reliable output.
Visualization:
1. Bullish Signals:
* The indicator line turns green and remains above the zero line, indicating upward momentum.
2. Bearish Signals:
* The indicator line turns red and falls below the zero line, signaling downward momentum.
3. Neutral Signals:
* The line is orange and stays near zero, indicating a lack of strong trend or momentum.
4. Zones:
* Horizontal lines at +30 and -30 mark strong bullish and bearish zones, respectively.
* A zero line is included for clear separation between bullish and bearish signals.
Recommended Usage:
* Best Timeframes: The indicator is optimized for higher timeframes such as 4-hour (H4) and daily (D1) charts.
* Trading Style: Suitable for swing and positional trading.
* Customization: The indicator allows users to adjust all major parameters (e.g., MACD, RSI, volume, and ATR settings) to fit their trading preferences.
Customization Options:
* Adjustable weights for Trend, Momentum, and Volume components.
* Fully configurable settings for MACD, RSI, Volume SMA, and ATR periods.
* Timeframe selection for multi-timeframe analysis.
Important Notes:
1. Originality: The TVMC indicator combines multiple analysis methods into a unique framework. It does not replicate or minimally modify existing indicators.
2. Transparency: The description is detailed enough for users to understand the methodology without requiring access to the code.
3. Clarity: The indicator is explained in a way that is accessible even to users unfamiliar with complex technical analysis tools.
Compliance with TradingView Rules:
* The indicator is written in Pine Script version 5, adhering to TradingView’s language standards.
* The description is written in English to ensure accessibility to the global community, with a clear explanation of all components and functionality.
* No promotional content, links, or unrelated references are included.
* The chart accompanying the indicator is clean and demonstrates its intended use clearly, with no additional indicators unless explicitly explained.
Xmoon – 3 Push Divergence – V1Introducing the Xmoon – 3 Push Divergence RSI Indicator – Premium – V2
The Xmoon – 3 Push Divergence RSI Indicator is designed based on a logical and precise strategy to help you identify suitable entry and exit points by combining divergences and market reversal patterns. With this tool, you can effectively spot trading opportunities in all market conditions, including uptrends, downtrends, and even sideways markets.
Divergence: A Powerful Signal for Market Reversal
Divergence is one of the most important signals of market reversal, widely used by professional traders. This indicator accurately identifies 3 Push Divergence patterns for you and highlights these patterns by plotting lines between their pivots. Moreover, as soon as the pattern is detected, the indicator draws lines for stepwise entries, stepwise exits, and capital management.
Stepwise Entry: Flexibility in Trade Management
When a 3 Push Divergence pattern forms, there is a high likelihood that the market will react to it. However, since the exact reversal point cannot be predicted, stepwise entry allows you to better align with market fluctuations and adapt flexibly to market changes.
In each step, you can increase your entry capital incrementally by one unit, enabling you to manage risk and capital more effectively.
Exit Management: Choosing Between Risk-Free and Target
After every entry, the indicator plots two lines for you:
1. Target Line: When you see the market moving in line with your analysis and want to take advantage of the profits.
2. Risk-Free Line: If you find the market conditions unfavorable, you can exit your position at break-even (considering spread, commissions, etc.).
Why Use This Indicator?
• Multiple Signal Detection: Due to price movements and the frequent occurrence of 3 Push Divergence patterns in the market, you can benefit from the multiple signals generated by this indicator across various timeframes.
• Professional Capital Management: This tool allows you to manage the risk and profit of your trades in the best possible way with stepwise entries and multiple exit settings.
• Effective in All Market Conditions: You can take advantage of trading opportunities in all market conditions, whether trending or sideways.
• Alignment with Real Market Momentum: You can utilize optimized distances between entry and exit levels designed based on real market momentum.
How to Use This Indicator?
1. Detecting the 3 Push Divergence Pattern: When the indicator detects a 3 Push Divergence pattern, it plots entry levels for each step, allowing you to start and set your trade with the specified capital.
2. Managing Stepwise Trades: Upon detecting the pattern, you can open your first trade at Step 1. If the market does not move in line with your initial analysis and reaches the entry levels for subsequent steps, you can increase your position size accordingly.
3. Exit Management: At each entry step, you can decide based on market conditions whether to focus on the target level or exit the trade at the risk-free level. (To display the risk-free and target lines, simply go to the indicator settings window and enable the relevant options.)
Conclusion
The Xmoon – 3 Push Divergence RSI indicator is a powerful tool for identifying and capitalizing on market reversal opportunities. By combining stepwise entry, professional exit management, and the robust logic of divergence, you can make better decisions and optimize the risk of your trades.
Best Buffett Ratio w/ Std-Dev Offset + Conditional PlotSummary:
This script provides a visually clear way to track the so-called “Buffett Ratio,”
a popular market valuation gauge which compares the total US stock market cap
to the country’s GDP. In addition, it plots a “hardcoded” long-term trend line,
along with fixed standard-deviation bands (in log space), and uses background colors
to signal potentially overvalued or undervalued zones.
What Is the Buffett Ratio?
Often credited to Warren Buffett, the Buffett Ratio (or Buffett Indicator) measures:
(Total US Stock Market Capitalization) / (US GDP)
• A higher ratio typically means equities are more expensive relative to the size of the economy.
• A lower ratio suggests equities may be more attractively valued compared to GDP.
Historically, the ratio has tended to drift upward over many decades,
as the US economy and stock markets grow, but it still oscillates around some trend over time.
How to Use
1) Add to Chart:
- In TradingView, simply apply the indicator (it internally fetches CRSPTM1 & GDP data).
2) Tweak Inputs:
- Log Offset for 1σ: Adjust how wide the ±1σ/±2σ bands appear around the trend.
- Anchor Points: Edit startYear , endYear , startRatio , endRatio
if you want a different slope or different “fair value” anchors.
3) Interpretation:
- If the indicator is above +2σ (red line) , it’s historically “very expensive,”
often leading to lower future returns over the long term.
- If it’s below –2σ (green line) , it’s historically “deep undervaluation,”
often pointing to better future returns over time.
- The intermediate zones show degrees of mild over- or undervaluation.
How This Script Works
1) Buffett Ratio Calculation:
- The script requests data from TradingView’s built-in CRSPTM1 index (total US market cap).
- It also requests US GDP data via request.economic("US", "GDP") .
- If GDP data is missing, the ratio becomes na on that bar.
2) Hardcoded Trend Line:
- Rather than a rolling average, the script uses two “anchors” (e.g. 1950 → 0.30 ratio, 2024 → 1.25 ratio)
and solves for a single log-growth rate to produce a steady upward slope.
3) Fixed Standard Deviations in Log Space:
- The script takes the log of the trend line, then applies a fixed offset for ±1σ and ±2σ,
creating proportional bands that do not “expand/contract” from a rolling window.
4) Conditional Plotting:
- The script only begins plotting once the Buffett Ratio actually has data (around 2011).
5) Color-Coded Zones:
- Above +2σ: red background (historically very expensive)
- Between +1σ and +2σ: yellow background (moderately expensive)
- Between –1σ and +1σ: no background color (around normal)
- Between –2σ and –1σ: aqua background (moderately undervalued)
- Below –2σ: green background (historically deep undervaluation)
Final Notes
• Data Limitations: US GDP data and CRSPTM1 only go back so far, so this starts around 2011.
• Long-Term vs. Short-Term: Best viewed on monthly/quarterly charts and interpreted over years.
• Tuning: If you believe structural changes have shifted the ratio’s fair slope,
adjust the code’s anchors or log offsets.
Enjoy, and use responsibly!
Relative Performance Indicator by ComLucro - 2025_V01The "Relative Performance Indicator by ComLucro - 2025_V01" is a powerful tool designed to analyze an asset's performance relative to a benchmark index over multiple timeframes. This indicator provides traders with a clear view of how their chosen asset compares to a market index in short, medium, and long-term periods.
Key Features:
Customizable Lookback Periods: Analyze performance across three adjustable periods (default: 20, 50, and 200 bars).
Relative Performance Analysis: Calculate and visualize the difference in percentage performance between the asset and the benchmark index.
Dynamic Summary Label: Displays a detailed breakdown of the asset's and index's performance for the latest bar.
User-Friendly Interface: Includes customizable colors and display options for clear visualization.
How It Works:
The script fetches closing prices of both the asset and a benchmark index.
It calculates percentage changes over the selected lookback periods.
The indicator then computes the relative performance difference between the asset and the index, plotting it on the chart for easy trend analysis.
Who Is This For?:
Traders and investors who want to compare an asset’s performance against a benchmark index.
Those looking to identify trends and deviations between an asset and the broader market.
Disclaimer:
This tool is for educational purposes only and does not constitute financial or trading advice. Always use it alongside proper risk management strategies and backtest thoroughly before applying it to live trading.
Chart Recommendation:
Use this script on clean charts for better clarity. Combine it with other technical indicators like moving averages or trendlines to enhance your analysis. Ensure you adjust the lookback periods to match your trading style and the timeframe of your analysis.
Additional Notes:
For optimal performance, ensure the benchmark index's data is available on your TradingView subscription. The script uses fallback mechanisms to avoid interruptions when index data is unavailable. Always validate the settings and test them to suit your trading strategy.
Liquitive Buy/Sell Dollar AveragerLiquitive Buy/Sell Dollar Averager Indicator
The "Liquitive Buy/Sell Dollar Averager" is a versatile trading tool designed for intraday and multi-timeframe analysis, combining advanced range-bound calculations, RSI normalization, volume spikes, and candle pattern recognition to identify optimal buy and sell conditions. This indicator is particularly suitable for traders employing strategies that focus on dollar-cost averaging, position scaling, and systematic buy/sell decision-making.
Key Features:
Adaptive RSI-Based Levels:
Dynamically calculates inner bounds (IB) and outer bounds (OB) using RSI and price ranges, helping to identify overbought and oversold conditions relative to the price action.
Normalizes RSI values to the price range for seamless visualization overlaid on the chart.
Volume and Candle Analysis:
Detects significant volume spikes relative to a moving average, signaling increased market activity.
Identifies spiking green/red candles to capture momentum-driven price movements.
Dynamic Support and Resistance:
Calculates and plots support and resistance levels based on recent swing highs and lows.
Median and boundary lines help visualize key price levels for decision-making.
Profitability Check:
Buy and Sell Signals:
Checks profitability thresholds based on percentage gains/losses.
Incorporates logic for "time to buy" and "time to sell" using target profit margins.
Implements average move percentage to define realistic thresholds for buy/sell actions.
Time-Based Trading Restrictions:
Configures trading logic to disallow trades after a specific time (e.g., 3:40 PM for intraday sessions).
Ensures logical entry and exit decisions are only made within active trading hours.
Color-Coded Visualization:
Background colors dynamically shift between green (bullish), red (bearish), and neutral, depending on RSI and price position relative to the inner bounds.
Opacity of the background adjusts based on normalized RSI differences to provide a visual cue of market strength.
Customizable Parameters:
Allows user input for key settings like lookback periods, RSI length, percent ranges, volume thresholds, and transparency levels, enabling flexible configuration tailored to individual strategies.
Actionable Alerts and Signals:
Plots "Open Position", "Add to Position", and "Close Position" markers directly on the chart, making it easy to follow systematic trading rules.
How It Works:
Buy Signals:
Triggered when price conditions, volume spikes, and RSI-based thresholds align with profitability metrics.
Designed for dollar-cost averaging, identifying opportunities to add to long positions or open new positions.
Sell Signals:
Evaluates profitability conditions to identify when to close or scale out of positions.
Incorporates real-time evaluation of market momentum and profitability.
Adapted RSI w/ Multi-Asset Regime Detection v1.1The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of an asset's recent price changes to detect overbought or oversold conditions in the price of said asset.
In addition to identifying overbought and oversold assets, the RSI can also indicate whether your desired asset may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell.
The RSI will oscillate between 0 and 100. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition.
The RSI is one of the most popular technical indicators. I intend to offer a fresh spin.
Adapted RSI w/ Multi-Asset Regime Detection
Our Adapted RSI makes necessary improvements to the original Relative Strength Index (RSI) by combining multi-timeframe analysis with multi-asset monitoring and providing traders with an efficient way to analyse market-wide conditions across different timeframes and assets simultaneously. The indicator automatically detects market regimes and generates clear signals based on RSI levels, presenting this data in an organised, easy-to-read format through two dynamic tables. Simplicity is key, and having access to more RSI data at any given time, allows traders to prepare more effectively, especially when trading markets that "move" together.
How we calculate the RSI
First, the RSI identifies price changes between periods, calculating gains and losses from one look-back period to the next. This look-back period averages gains and losses over 14 periods, which in this case would be 14 days, and those gains/losses are calculated based on the daily closing price. For example:
Average Gain = Sum of Gains over the past 14 days / 14
Average Loss = Sum of Losses over the past 14 days / 14
Then we calculate the Relative Strength (RS):
RS = Average Gain / Average Loss
Finally, this is converted to the RSI value:
RSI = 100 - (100 / (1 + RS))
Key Features
Our multi-timeframe RSI indicator enhances traditional technical analysis by offering synchronised Daily, Weekly, and Monthly RSI readings with automatic regime detection. The multi-asset monitoring system allows tracking of up to 10 different assets simultaneously, with pre-configured major pairs that can be customised to any asset selection. The signal generation system provides clear market guidance through automatic regime detection and a five-level signal system, all presented through a sophisticated visual interface with dynamic RSI line colouring and customisable display options.
Quick Guide to Use it
Begin by adding the indicator to your chart and configuring your preferred assets in the "Asset Comparison" settings.
Position the two information tables according to your preference.
The main table displays RSI analysis across three timeframes for your current asset, while the asset table shows a comparative analysis of all monitored assets.
Signals are colour-coded for instant recognition, with green indicating bullish conditions and red for bearish conditions. Pay special attention to regime changes and signal transitions, using multi-timeframe confluence to identify stronger signals.
How it Works (Regime Detection & Signals)
When we say 'Regime', a regime is determined by a persistent trend or in this case momentum and by leveraging this for RSI, which is a momentum oscillator, our indicator employs a relatively simple regime detection system that classifies market conditions as either Bullish (RSI > 50) or Bearish (RSI < 50). Our benchmark between a trending bullish or bearish market is equal to 50. By leveraging a simple classification system helps determine the probability of trend continuation and the weight given to various signals. Whilst we could determine a Neutral regime for consolidating markets, we have employed a 'neutral' signal generation which will be further discussed below...
Signal generation occurs across five distinct levels:
Strong Buy (RSI < 15)
Buy (RSI < 30)
Neutral (RSI 30-70)
Sell (RSI > 70)
Strong Sell (RSI > 85)
Each level represents different market conditions and probability scenarios. For instance, extreme readings (Strong Buy/Sell) indicate the highest probability of mean reversion, while neutral readings suggest equilibrium conditions where traders should focus on the overall regime bias (Bullish/Bearish momentum).
This approach offers traders a new and fresh spin on a popular and well-known tool in technical analysis, allowing traders to make better and more informed decisions from the well presented information across multiple assets and timeframes. Experienced and beginner traders alike, I hope you enjoy this adaptation.
Spaghetti - Custom Cryptocurrency Index IndicatorDescription:
Spaghetti is a highly customizable cryptocurrency index indicator designed to let you track an average price of up to 15 different cryptocurrencies in one convenient line. Whether you're interested in a mix of meme coins, AI projects, or any other specific subset of coins, Spaghetti allows you to create your own personalized index.
Features:
Customizable Coin List: Input up to 15 different cryptocurrencies of your choice, allowing you to tailor the indicator to your preferred assets and strategies.
Dynamic Labeling: Features a label on the chart that displays a user-defined name, so you can personalize the indicator's label to match your theme or trading strategy.
Color Customization: The line color is fully customizable, enabling better visual integration with your charts.
Average Calculation: Calculates and plots the average price of all selected coins, providing an easy way to visualize overall market movement for your customized selection.
How to Use Spaghetti:
In the indicator settings, enter the tickers for up to 15 coins you want to include (e.g., BINANCE:BTCUSDT).
Customize the line color and the label text to match your style or preferences.
The indicator will plot the average price of all selected coins, with a dynamic label that follows the price for easy reference.
Spaghetti makes it easy to create and track custom crypto indices, providing a broader perspective of your selected market segments. Perfect for traders who want to stay on top of multiple assets without the clutter!
Big 5 Checklist | XEONEDIAThe Big 5 Checklist | XEONEDIA indicator is a powerful trading tool designed to help traders prepare their trading decisions in a structured and effective manner. The indicator encompasses five key areas:
Strategy Documentation :
✅ Ensure that the trading strategy is clearly defined and documented.
✅ Conduct backtesting.
✅ Perform demo testing with an 80% success rate.
✅ Analyze trading results.
✅ Regularly refine the strategy.
Risk Management :
✅ Minimize financial losses and ensure responsible trading.
✅ Set a risk limit of 1-2%.
✅ Use stop-loss orders.
✅ Ensure a risk-reward ratio of at least 2:1.
✅ Adjust position sizes.
Technical Analysis :
✅ Evaluate charts and indicators to identify trading opportunities.
✅ Identify support and resistance levels.
✅ Use technical indicators (e.g., RSI).
✅ Set entry and exit points.
✅ Establish alerts for specific market conditions.
Market Conditions :
✅ Consider external factors that may influence trading.
✅ Monitor the economic calendar.
✅ Apply fundamental analysis.
✅ Observe market volatility.
✅ Analyze global trends.
Psychological Management :
✅ Control emotions and mindset during trading.
✅ Adhere to the trading plan.
✅ Manage emotions while trading.
✅ Set realistic expectations.
✅ Take regular mental breaks.
Mastercheck
The Mastercheck provides a digital checklist where traders can track their progress live. Users can make their own notes and view their checklist on any TradingView device, ensuring they stay informed about their trading readiness and can make adjustments in real-time. ✅
Overall, the Big 5 Checklist | XEONEDIA indicator helps minimize risks and maximize the chances of successful trades by promoting systematic and comprehensive trading preparation.
HMA Z-Score Probability Indicator by Erika BarkerThis indicator is a modified version of SteverSteves's original work, enhanced by Erika Barker. It visually represents asset price movements in terms of standard deviations from a Hull Moving Average (HMA), commonly known as a Z-Score.
Key Features:
Z-Score Calculation: Measures how many standard deviations the current price is from its HMA.
Hull Moving Average (HMA): This moving average provides a more responsive baseline for Z-Score calculations.
Flexible Display: Offers both area and candlestick visualization options for the Z-Score.
Probability Zones: Color-coded areas showing the statistical likelihood of prices based on their Z-Score.
Dynamic Price Level Labels: Displays actual price levels corresponding to Z-Score values.
Z-Table: An optional table showing the probability of occurrence for different Z-Score ranges.
Standard Deviation Lines: Horizontal lines at each standard deviation level for easy reference.
How It Works:
The indicator calculates the Z-Score by comparing the current price to its HMA and dividing by the standard deviation. This Z-Score is then plotted on a separate pane below the main chart.
Green areas/candles: Indicate prices above the HMA (positive Z-Score)
Red areas/candles: Indicate prices below the HMA (negative Z-Score)
Color-coded zones:
Green: Within 1 standard deviation (high probability)
Yellow: Between 1 and 2 standard deviations (medium probability)
Red: Beyond 2 standard deviations (low probability)
The HMA line (white) shows the trend of the Z-Score itself, offering insight into whether the asset is becoming more or less volatile over time.
Customization Options:
Adjust lookback periods for Z-Score and HMA calculations
Toggle between area and candlestick display
Show/hide probability fills, Z-Table, HMA line, and standard deviation bands
Customize text color and decimal rounding for price levels
Interpretation:
This indicator helps traders identify potential overbought or oversold conditions based on statistical probabilities. Extreme Z-Score values (beyond ±2 or ±3) often suggest a higher likelihood of mean reversion, while consistent Z-Scores in one direction may indicate a strong trend.
By combining the Z-Score with the HMA and probability zones, traders can gain a nuanced understanding of price movements relative to recent trends and their statistical significance.
long&short signal Smart Money Concepts (SMC) with MACD Signals Smart Money Concepts (SMC) with MACD Signals
Advanced SMC and MACD Integration for Precision Trading
The "Smart Money Concepts (SMC) with MACD Signals" indicator is a powerful and versatile tool designed to enhance trading strategies by integrating two highly effective technical analysis methods into a single, cohesive indicator. This advanced script combines the Smart Money Concepts (SMC) methodology with the Moving Average Convergence Divergence (MACD) indicator to provide traders with a comprehensive trading solution that identifies key market trends and potential trading opportunities.
What It Does:
Smart Money Concepts (SMC):
The SMC component of this indicator identifies significant price levels and zones where market participants, particularly institutional investors, may be active. It calculates high and low anchor levels based on historical price data, creating zones that help traders understand where price action may encounter support or resistance. These anchor levels are used to plot background colors on the chart, highlighting critical areas of interest where price might react, and generating buy (long) and sell (short) signals based on price interactions with these levels.
MACD (Moving Average Convergence Divergence):
The MACD component provides insights into market momentum and trend strength. By calculating the difference between two moving averages and comparing it to a signal line, the MACD indicator helps traders identify potential changes in trend direction. The script plots the MACD line, signal line, and histogram, offering a clear visual representation of market momentum. Buy (long) and sell (short) signals are generated when the MACD line crosses above or below the signal line, providing timely alerts to potential trading opportunities.
Why It’s Special:
This indicator stands out for its dual functionality, combining the price level analysis of SMC with the momentum-based insights of MACD. The integration allows traders to benefit from both trend and price level analysis, offering a more robust and accurate trading tool. The SMC component highlights critical price zones and provides context for price action, while the MACD component confirms the strength and direction of market trends.
By using this combined approach, traders can make more informed decisions based on comprehensive market analysis. The indicator not only helps in identifying significant price levels and potential market reversals but also provides real-time signals to capitalize on these opportunities. Whether you are a day trader or a swing trader, the "Smart Money Concepts (SMC) with MACD Signals" indicator is designed to enhance your trading strategy with precision and clarity.
This unique combination of SMC and MACD offers a powerful toolset for traders looking to refine their trading strategies and improve their market analysis. With its user-friendly visualizations and signal generation, this indicator is an essential addition to any trader’s toolkit.
Multiple EMA Indicator [Pineify]TradingView Multiple EMA Indicator: A Comprehensive Trend Analysis Tool
The TradingView Multiple EMA Indicator is a powerful and versatile tool designed to provide traders with a comprehensive view of market trends across multiple timeframes. By incorporating five Exponential Moving Averages (EMAs) with customizable lengths and sources, this indicator offers a nuanced approach to trend analysis, suitable for both novice and experienced traders.
Key Features:
Five customizable EMAs for multi-timeframe analysis
Flexible source inputs for each EMA
Color-coded plots for easy visual interpretation
Overlay functionality for direct price action comparison
How It Works:
This indicator calculates and displays five separate EMAs on your chart, each with its own customizable length and source. The EMAs are color-coded for easy identification:
EMA-1: Red
EMA-2: Light Green
EMA-3: Light Blue
EMA-4: Purple
EMA-5: Yellow
By default, the indicator uses the following settings:
EMA-1: 10-period EMA of close price
EMA-2: 20-period EMA of close price
EMA-3: 50-period EMA of close price
EMA-4: 100-period EMA of close price
EMA-5: 200-period EMA of close price
However, users can easily adjust these settings to suit their specific trading strategies and preferences.
Trading Ideas and Insights:
The Multiple EMA Indicator offers several ways to analyze market trends and generate trading signals:
Trend Identification: The alignment of the EMAs can help identify the overall trend. When shorter-term EMAs are above longer-term EMAs, it suggests an uptrend, and vice versa for a downtrend.
Dynamic Support and Resistance: Each EMA can act as a dynamic support or resistance level. Price bouncing off these levels can indicate potential entry or exit points.
Crossovers: When a shorter-term EMA crosses above a longer-term EMA, it may signal a bullish trend change. Conversely, a bearish signal may occur when a shorter-term EMA crosses below a longer-term EMA.
Trend Strength: The spacing between the EMAs can indicate trend strength. Wide spacing suggests a strong trend, while narrow spacing or intertwining EMAs may indicate consolidation or a weakening trend.
Multi-Timeframe Analysis: By using different EMA lengths, traders can gain insights into short-term, medium-term, and long-term trends simultaneously.
How to Use the Indicator:
Add the indicator to your chart and adjust the input parameters as needed.
Observe the relative positions of the EMAs to identify the overall trend direction.
Look for potential entry signals when price or shorter-term EMAs cross above or below longer-term EMAs.
Use the EMAs as dynamic support and resistance levels for setting stop-loss and take-profit orders.
Combine the Multiple EMA Indicator with other technical analysis tools, such as oscillators or volume indicators, for more comprehensive trading decisions.
Customization Options:
The indicator offers extensive customization options, allowing traders to tailor it to their specific needs:
Adjust the length of each EMA to focus on different timeframes
Change the source of each EMA (e.g., close, open, high, low, HL2, HLC3, OHLC4)
Modify the color and line thickness of each EMA for better visibility
Conclusion:
The TradingView Multiple EMA Indicator is a versatile and powerful tool for trend analysis and trade decision-making. By providing a multi-faceted view of market trends, it enables traders to make more informed decisions based on a comprehensive understanding of price action across various timeframes.
Remember that while this indicator can be a valuable tool in your trading arsenal, it should not be used in isolation. Always combine it with other forms of analysis and proper risk management techniques for the best results.
We hope this indicator enhances your trading experience and contributes to your success in the markets. Happy trading!
NYSE TickThe NYSE Tick indicator is a market breadth indicator used to determine short-term bullish or bearish market sentiment. The NYSE Tick index compares the number of stocks on the New York Stock Exchange that are ticking up to the number of stocks ticking down at a specific moment in time. When the NYSE Tick is hovering around the zero line, roughly the same number of stocks are ticking up as are ticking down. When the overall market is rising it will usually present on the NYSE Tick as a rise in value that will generally stay mostly above the zero line for a period of time. The opposite is true when the general market is falling and can be seen as the NYSE Tick staying mostly below the zero line. This information can be very helpful for a short-term day trader who trades a market that also follows many of these same stocks, like the E-Mini S&P 500 Futures (ES), for example. While the index can theoretically rise or fall to over ±2,000 if all stocks on the NYSE are ticking up or down at the same time, it’s generally considered an extreme movement if the NYSE Tick is ±1,000. For this reason, the indicator has default reference lines at ±1,000 and halfway marks at ±500. In order to partially smooth out the movement and make movement trends more easily read, the indicator plots the values using Heikin Ashi candles instead of the standard bars or candlesticks. The price-line value displayed is an accurate live value, however, rather than the OHLC average value of a standard Heikin Ashi candle. Since the standard hours for the NYSE are Monday – Friday, 09:30 – 16:00 EST, the indicator only plots bars during this time.
Heat Map SeasonsHeat Map Seasons indicator
Indicator offers traders a unique perspective on market dynamics by visualizing seasonal trends and deviations from typical price behavior. By blending regression analysis with a color-coded heat map, this indicator highlights periods of heightened volatility and helps identify potential shifts in market sentiment.
Summer:
In the context of the indicator, "summer" represents a period of heightened volatility and upward price momentum in the market. This is analogous to the warmer months of the year when activities are typically more vibrant and energetic. During the "summer" phase indicated by the indicator, traders may observe strong bullish trends, increased trading volumes, and larger price movements. It suggests a favorable environment for bullish strategies, such as trend following or momentum trading. However, traders should exercise caution as heightened volatility can also lead to increased risk and potential drawdowns.
Winter:
Conversely, "winter" signifies a period of decreased volatility and potentially sideways or bearish price action in the market. Similar to the colder months of the year when activities tend to slow down, the "winter" phase in the indicator suggests a quieter market environment with subdued price movements and lower trading volumes. During this phase, traders may encounter choppy price action, consolidation patterns, or even downtrends. It indicates a challenging environment for trend-following strategies and may require a more cautious approach, such as range-bound or mean-reversion trading strategies.
In summary, the "summer" and "winter" phases in the "Heat Map Seasons" indicator provide traders with valuable insights into the prevailing market sentiment and can help inform their trading decisions based on the observed levels of volatility and price momentum.
How to Use:
Watch for price bars that deviate significantly from the regression line , as these may signal potential trading opportunities.
Use the seasonal gauge to gauge the current market sentiment and adjust trading strategies accordingly.
Experiment with different settings for Length and Heat Sensitivity to customize the indicator to your trading style and preferences.
The "Heat Map Seasons" indicator can potentially identify overheated market tops and bottoms on a weekly timeframe by detecting significant deviations from the regression line and observing extreme color gradients in the heat map. Here's how it can be used for this purpose:
Observing Extreme Color Gradients:
When the market is overheated and reaches a potential top, you may observe extremely warm colors (e.g., deep red) in the heat map section of the indicator.
Traders can interpret this as a warning sign of a potential market top, indicating that bullish momentum may be reaching unsustainable levels.
Conversely, when prices deviate too far below the regression line, it may indicate oversold conditions and a potential bottom.
Potential Tops and Bottoms:
User Inputs:
Length: Determines the length of the regression analysis period.
Heat Sensitivity: Controls the sensitivity of the heat map to deviations from the regression line.
Show Regression Line: Option to display or hide the regression line on the chart
Note: This indicator is best used in conjunction with other technical analysis tools and should not be relied upon as the sole basis for trading decisions.
Fear and Greed Index (Crypto & Stock)The Fear and Greed Index utilizes various metrics to gauge the overall sentiment of the stock and crypto market.
It's divided into two categories:
Extreme Fear (0-25) -> Red background
Extreme Greed (75-100) -> Green background
When the index is in the Extreme Fear zone, the indicator background changes to red, while in the Extreme Greed zone, it changes to green.
The blue line represents the Fear and Greed Index for the overall stock or crypto market. The index automatically switches between the crypto and stock depending on the active chart, providing insights into both markets.
The histogram represents Price Momentum for the current active symbol on the chart.
How is the Crypto Fear and Greed Index calculated?
The index is calculated using three factors including momentum of stable coin (safe haven), momentum of major coins, and the balance of unique addresses holding the major coins. The index tracks how much these individual indicators deviate from their averages compared to how much they normally diverge. The index gives each factor equal weighting in calculating a score from 0 to 100, with 100 representing maximum greediness and 0 signaling maximum fear.
The main factors used in the calculation are:
1. Momentum of Stable Coins
The index calculates the momentum of three major stable coins, including USDT, USDC and DAI. The index looks at the stable coins’ levels compared to where they’ve been over the past two months. When the stable coin is below its moving average of the prior 60 trading days, that’s a sign of positive momentum. But if the index is above this average, it shows investors are getting skittish. The Fear & Greed Index uses the growing momentum of stable coin as a signal for Fear and a slowing momentum for Greed.
During a market sell-off, investors may anticipate a decline in the value of their cryptocurrency investments and may transition into stable coins as a safe haven. This is because stable coins are designed to maintain a stable value, often pegged to a fiat currency like the US Dollar.
By analyzing the overall trend of stable coins' movement, the index can help determine whether the market sentiment leans towards greed or fear. If stable coins are experiencing a significant increase in momentum, it may suggest that investors are moving away from riskier assets (like cryptocurrencies) and into safer assets (like stable coins), indicating a fear-driven market sentiment. Conversely, if stable coins are experiencing a decrease in momentum, it may suggest that investors are more confident in the market and are less concerned about potential declines in the value of their cryptocurrency investments, indicating a greed-driven market sentiment.
2. Momentum of major coins
The index calculates the momentum of 16 major cryptocurrencies, including Bitcoin, Ethereum, and BNB. This index assesses the overall trend of these cryptocurrencies' movement, which can provide insights into market sentiment. The index checks how many coins are doing well versus those that are struggling. This shows the number of coins on the market at 2-months highs compared to those at 2-months lows. When there are many more highs than lows, that’s a bullish sign and signals Greed.
By analyzing the momentum of these 16 major cryptocurrencies, the index can help determine whether there's more bullish or bearish sentiment prevailing in the market over the given period. If the overall momentum is positive, it may suggest that investors are more optimistic about the market, leading to increased buying activity and higher prices. Conversely, if the overall momentum is negative, it may suggest that investors are more pessimistic about the market, leading to increased selling activity and lower prices.
3. Balance of unique addresses holding major coins
The index is tracking the number of unique addresses holding Bitcoin and Ethereum. This measure looks at the amount of investors holding Bitcoin or Ethereum and compares the amount to its 2-month moving average.
The logic behind this assessment is that when there are more unique addresses holding Bitcoin and Ethereum, it suggests that more individuals are interested in holding these cryptocurrencies, which may indicate bullish sentiment. Conversely, when there are fewer unique addresses holding Bitcoin and Ethereum, it suggests that fewer individuals are interested in holding these cryptocurrencies, which may indicate bearish sentiment.
How is the Stock Fear and Greed Index calculated?
The Stock Fear & Greed Index is a compilation of two indicators that measure some aspect of stock market behavior. They are market momentum and stock price strength. The Stock Fear & Greed Index calculates how much these individual indicators deviate from their averages and compares this divergence to their typical variations. Both indicators receive equal weighting in calculating a score ranging from 0 to 100.
A score of 100 indicates maximum greediness, suggesting that market momentum and stock prices are significantly above their historical averages.
Conversely, a score of 0 signals maximum fear, indicating that market momentum and stock prices are significantly below their historical averages.
1. Market Momentum
The Stock Fear & Greed index looks at stock market levels compared to where they’ve been over the past few months. When the S&P 500, DJI and NASDAQ is above its moving average of the prior 180 trading days, that’s a sign of positive momentum. But if the index is below this average, it shows investors are getting skittish. The Fear & Greed Index uses slowing momentum as a signal for Fear and a growing momentum for Greed.
2. Momentum of major stocks
The index calculates momentum by analyzing the price levels of major stocks relative to their moving averages over the past six months. When a stock's price is above its moving average of the prior 180 trading days, it indicates positive momentum. Conversely, if the stock's price is below this moving average, it suggests that investors are becoming skittish, or there is a loss of momentum.
How to use the Fear and Greed Index?
The Fear & Greed Index ranges from 0 to 100, a reading of 0-25 indicates extreme fear, while a reading of 75-100 indicates extreme greed. The index can help investors and traders identify market trends and potential turning points. By understanding the sentiment of the market, investors can avoid making decisions based on emotions and biases.
When the Fear and Greed Index is at an extreme level of fear (0-25), it can indicate that investors are overly worried and selling their assets out of fear. This could present a buying opportunity for investors who believe in the long-term potential of the market.
Conversely, when the Fear and Greed Index is at an extreme level of greed (75-100), it can indicate that investors are overly optimistic and buying assets out of greed. This could be a sign that the market is due for a correction.
How is the Price Momentum (Histogram) calculated?
Momentum focuses on the rate of change in stock prices over a specific period. It assesses how quickly prices are moving in a particular direction, whether upward or downward. A momentum value above 50 indicates that prices are fueled by strength to move upward. This suggests that buying pressure is dominant in the market, driving prices higher. Conversely, a momentum value below 50 indicates that prices are fueled by strength moving downward. This suggests that selling pressure is dominant, pushing prices lower.
Our momentum indicator can help investors identify trends and potential turning points in the market. Rising momentum values may indicate an upward trend, while declining momentum values may suggest a weakening trend or a potential reversal.
Extreme momentum values may indicate overbought or oversold conditions in the market. Overbought conditions occur when momentum values are excessively high, suggesting that prices may be due for a correction. Conversely, oversold conditions occur when momentum values are excessively low, indicating potential buying opportunities.
How to use our Fear & Greed Indicator
Using price momentum and the Fear and Greed Index together can provide valuable confirmation signals for investors in the stock or crypto market. Here's how you can use them together:
Identify Trends: Start by identifying the overall trend in the market using price momentum. Rising momentum values often indicate an uptrend, while declining momentum values suggest a downtrend.
Monitor Fear and Greed Index: Simultaneously, monitor the Fear and Greed Index to gauge market sentiment. In an uptrend, high readings on the Fear and Greed Index (75-100) may indicate excessive greed among investors, potentially signaling that the uptrend is becoming overextended and due for a correction. Conversely, in a downtrend, low readings on the Fear and Greed Index (0-25) may indicate extreme fear, potentially signaling capitulation and a possible reversal.
Look for Confirmation Signals: Look for confirmation signals between price momentum and the Fear and Greed Index. For example:
In an uptrend, if momentum is declining while the Fear and Greed Index is at a high level, it may suggest weakening buying pressure and potential exhaustion in the uptrend.
In a downtrend, if momentum is reducing while the Fear and Greed Index is at a low level, it may indicate that selling pressure is subsiding, potentially signaling a reversal in the downtrend.
Conditional Volatility PercentileSimple Description: This indicator can basically help you find when a big move might happen ( This indicator can't determine the direction but when a big move could happen. ) Basically, a low-extreme value like 0 means that it only has room for upside, so volatility can only expand from that point on, and the fact that volatility mean reverts supports this.
Conditional Volatility Percentile Indicator
This indicator is a tool designed to view current market volatility relative to historical levels. It uses a statistical approach to assess the percentile rank of the calculated conditional volatility.
The Volatility Calculation
This indicator calculates conditional variance with user-defined parameters, which are Omega, Alpha, Beta, and Sigma, and then takes the square root of the variance to calculate the standard deviation. The script then calculates the percentile rank of the conditional variance over a specified lookback.
What this indicator tells you:
Volatility Assessment: Higher percentile values indicate heightened conditional volatility, suggesting increased market activity or potential stress. Meanwhile, lower percentiles suggest relatively lower conditional volatility.
Extreme Values: Volatility is a mean-reverting process. If the volatility percentile value is at a low value for an extended period of time, you can eventually bet on the volatility percentile value increasing with high confidence.
In financial markets, volatility itself exhibits mean-reverting properties. This means that periods of high volatility are likely to be followed by periods of lower volatility, and vice versa.
1. High Volatility Periods: High volatility levels may be followed by a subsequent decrease in volatility as the market returns to a more typical state.
2. Low Volatility Periods: Periods of low volatility may be followed by an uptick in volatility as the market experiences new information or changes in sentiment.
