Glamour ETF Index vs. QQQ mit MA10, MA20 & MA50Stan Weinstein uses the term "Glamour Index" as a sentiment indicator to assess how speculative or overheated the stock market is. The Glamour Index measures the relationship between so-called "glamour stocks" (trendy stocks, hyped stocks with high media attention and sometimes extreme price increases) and solid, more conservative stocks. Weinstein uses this index to: 1) Analyze market sentiment – particularly whether the market is in a speculative euphoria phase.
2) Identify warning signs of a potential top formation or an impending downturn.
My basket compares performance against the QQQ (alternatively, SPY or any other benchmark is also possible).
My basket consists of the ETFs in the ARK universe, as well as other growth ETFs such as IPO, FFTY, and QQQJ.
Indicadores de Banda
📊 Stock Info + Support/ResistanceThis strategy was developed with the goal of identifying potential entry and exit zones for trading stocks and ETFs, using a swing trading approach based on multi-timeframe demand and supply zone detection.
The script tracks trends and identifies critical movement zones using the ADR (Average Daily Range) indicator across three timeframes: daily, weekly, and monthly, calculating them according to the opening range.
In addition, the script integrates the RSI indicator to assess overbought/oversold conditions. Signals are only generated when an extreme RSI level (below 30 or above 70) coincides with the price entering a demand or supply zone across all three timeframes.
The output includes only graphic arrows on the chart at entry and exit points, with no visual clutter or unnecessary indicators.
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How to Use:
Suitable for swing trading, not for intraday scalping.
Apply to a clean chart.
Can be combined with external indicators such as support/resistance detection (e.g., SRMTF) — though this is optional.
This script does not constitute investment advice and is intended for monitoring purposes only.
PROFIT PURIFY SL/TargetsEach level has its own colored line:
Entry: White
Stop Loss: Red
Target 1: Orange
Target 2: Yellow
Target 3: Green
Each level has clear price labels that appear at the signal bar
The lines will remain visible until the next trade signal occurs
For long positions, targets appear above entry and SL below
For short positions, targets appear below entry and SL above
RSI with Background Colorhis script implements a trading strategy based on an EMA (Exponential Moving Average) crossover, confirmed by the RSI (Relative Strength Index), and includes a built-in stop-loss and take-profit.
AI-Powered Market and Fast Trend AnalysisAI-Powered Market and Fast Trend Analysis Presentation V7
Hello,
This presentation explains the core features and functionality of your "AI-Powered Market and Fast Trend Analysis" Pine Script indicator used on the TradingView platform.
1. General Overview
This indicator combines various technical analysis indicators and an AI-based decision-making mechanism to analyze market trends, volatility, volume movements, and potential reversal points. Its purpose is to provide users with a comprehensive and quick overview to make more informed buy/sell decisions.
2. General Settings and Periods
The indicator offers several input parameters to customize the analysis:
General Settings: Allows you to adjust the calculation periods for core indicators such as Period (General), TTM Period, Stoch %K/%D Period, Keltner Channel Multiplier, Volume Oscillator Fast/Slow Period.
3. AI Decision Weights
The AI decision mechanism, which is the heart of the indicator, generates a final AI score by assigning weights to different category scores:
Trend Indicators Weight: The impact of trend indicators such as Supertrend, TTM Squeeze, QQE, Vortex, RSI, Stochastic, Moving Averages (SMA, EMA, WMA, VWMA), MACD, Ichimoku Kijun, TEMA, HMA on the final score.
Momentum Indicators Weight: The impact of momentum indicators on the final score.
Volatility Indicators Weight: The impact of volatility indicators such as Bollinger Band Width, ATR, Keltner Channel Width, Donchian Channel Width, NATR.
Volume Indicators Weight: The impact of volume indicators such as OBV, AD, CMF, MFI, Volume Oscillator, VPT, VWAP.
Candlestick Pattern Weight (New): The impact of candlestick patterns like Doji, Bullish/Bearish Engulfing, Hammer, Shooting Star on the AI decision.
Reversal Momentum Weight (New): The impact of sudden price movements and reversal signals on the AI decision.
Market Context Weight: Determines how the general market sentiment from BIST indices (XU100, XU030, XBANK), in addition to the traded symbol's data, influences the AI decision. This weight controls how much the symbol's own data versus index data affects the AI decision.
4. AI Decision Thresholds
The AI score is converted into buy/sell signals based on specific threshold values, and the strength of the score is qualified:
AI Buy/Sell Thresholds: Separate buy and sell thresholds are defined for different asset classes like BIST stocks and Gold/MGC1.
Score Qualification Thresholds (New): The strength of the AI score is determined by levels such as Very Strong Buy/Sell, Strong Buy/Sell, Moderate Buy/Sell, Weak Buy/Sell.
Category-Based Signal Thresholds: Separate buy/sell thresholds exist for each category like trend, volatility, and volume.
5. Market Context Integration
The indicator analyzes not only the data of the traded symbol but also the data from BIST indices (XU100, XU030, XBANK) to incorporate general market sentiment into the AI decision. This provides a more holistic and reliable analysis.
6. Target Point Calculations
The indicator calculates potential buy and sell targets using ATR (Average True Range) multipliers. These targets are shown separately for different timeframes (30 Min, 1 Hour, 4 Hour, 1 Day, 1 Week) and are also marked on the chart. Additionally, Nearest Buy/Sell and Farthest Buy/Sell targets are determined from all timeframes.
7. Candlestick Patterns and Coloring
Pattern Detection: Automatically detects and marks important candlestick patterns such as Doji, Bullish Engulfing, Bearish Engulfing, Hammer, and Shooting Star on the chart.
Candlestick Coloring: Candlesticks are dynamically colored based on detected patterns and volume inflow. For example, in a Bullish Engulfing pattern, the candlestick turns solid green, while candlesticks with volume inflow are shown in white.
Fake Rally Indicator (New): Generates a "Fake Rally" signal when the overall AI score is still in a bearish zone, but there are bullish candlesticks and weak reversal signals.
8. Overbought/Oversold and Indecision Zones
On the chart, Overbought, Oversold, and Indecision zones are visually marked based on price movements within a specific period. These zones help you understand whether the price is near potential reversal points.
9. Panel Information (Top Right Corner)
The information panel located in the top right corner of the chart summarizes all important analysis results:
AI Decision: The general AI signal (Very Strong Buy/Sell, Strong Buy/Sell, etc.) and its color.
Score: The final AI score and its color (green, yellow, red).
Direction: The general market direction determined by AI (UP, DOWN, SIDEWAYS).
Category Signal: The combined signal of trend, volatility, and volume categories.
Confirmation Signal (New): The overall confidence level generated by combining the final AI score and the category signal (DEFINITE BUY/SELL, VERY STRONG, STRONG, MODERATE, WEAK, UNCERTAIN).
Timeframe-Based Status: Trend, Volatility, and Volume statuses for 30 Min, 1 Hour, 4 Hour, 1 Day, and 1 Week timeframes (Uptrend/Downtrend/Neutral, Inflow/Outflow/Neutral).
Candlestick Pattern: The detected candlestick pattern in the active timeframe.
Market Index Score: The average AI score of BIST indices.
Buyer/Seller Power (New): The percentage distribution of buyer and seller power in the current candlestick.
Target Buy/Sell: Potential buy and sell targets calculated for each timeframe.
Nearest/Farthest Buy/Sell (New): The nearest and farthest buy/sell points determined from targets across all timeframes.
10. How It Helps
This indicator helps you make sense of complex market data and assists you with:
Quick Decision Making: Allows you to quickly see the overall market situation and potential buy/sell signals at a glance.
Trend Identification: Helps you understand trends across different timeframes and their strength.
Risk Management: Supports your risk management strategies with target points and volatility analyses.
Market Sentiment: Enables you to make more accurate decisions by considering the general market context through index integration.
Important Note: When using the indicator for buy/sell decisions, please consider removing the "Overall AI Score" line and the "Buy/Sell Threshold" lines from the chart for a cleaner full-screen view.
I hope this presentation helps you better understand your code and proves useful in your TradingView operations.
Sincerely,
Multi-Timeframe Trend Analysis [Aaron Diaz]🧠 Indicator Review: Multi-Timeframe Trend Analysis
📌 What Does It Do?
The "Multi-Timeframe Trend Analysis" indicator by Aaron Diaz performs a trend assessment across multiple timeframes using Exponential Moving Averages (EMAs) as internal logic. Instead of plotting EMAs on the chart, this version only displays a clean dashboard that shows whether each EMA is trending up or down, keeping your chart clutter-free.
🧾 Based on the original indicator by BigBeluga, this version was modified by Aaron Diaz to remove the EMA plots and focus solely on actionable trend information via a table.
🔍 How It Works
It calculates 5 different EMAs (default: 20, 30, 40, 50, 60 periods).
For each EMA, it checks if it’s trending up (EMA > EMA 2 candles ago) or down.
These signals are then evaluated across 5 customizable timeframes (e.g., 1h, 2h, 3h, etc.).
A dashboard/table appears on the top-right corner of your screen, showing:
🢁 = Uptrend for that EMA and timeframe.
🢃 = Downtrend.
It uses color codes (green = bullish, purple = bearish) to make trend reading fast and intuitive.
🧱 Technical Foundations
Exponential Moving Averages (EMAs):
EMAs give more weight to recent prices, making them highly responsive to current trends.
Widely used to detect momentum and reversals.
Multi-Timeframe Analysis (MTF):
Helps confirm trend strength by analyzing multiple timeframes.
Reduces false signals and noise found in a single timeframe.
📈 Suggested Strategy: "MTF Trend Confluence"
🎯 Goal:
Only trade when multiple timeframes confirm the same directional bias.
✅ Long Entry Rules:
At least 3 out of 5 timeframes must show 🢁 on at least 4 of the 5 EMAs.
Confirm entry with:
A bullish candlestick pattern.
A breakout above recent resistance.
Optional filter: RSI or MACD not in overbought zone.
🔻 Short Entry Rules:
At least 3 timeframes must show 🢃 on at least 4 EMAs.
Confirm with:
A bearish candle or breakdown below support.
Optional filter: RSI or MACD not in oversold zone.
🛑 Exit Rules:
Take Profit at key support/resistance levels or at a 2:1 risk-reward ratio.
Stop Loss below/above the last swing or fixed % (e.g., 1.5–2%).
Exit early if the dashboard shows a shift in trend across key timeframes.
🧪 Example Use Case
You're trading on a 15-minute chart:
The dashboard shows 🢁 across 1h, 2h, and 3h timeframes for EMA20, EMA30, and EMA40.
Price breaks a local resistance level.
You enter long and target the next liquidity zone, placing your stop-loss below the most recent swing low.
⚠️ Important Notes
This is not a signal generator—it’s a trend confirmation tool.
Best used for swing or intraday trend trading.
Avoid using it in ranging or sideways markets.
İsmetChenil v6 - AdvancedLong-term is more stable. Short-term long signals are stronger and perform better in crypto and stock markets year-to-date.
Bandas de Bollinger con Shading 20% de WilliamsJMDBandas de Bollinger al 20% simple útil para operar con acciones.
Kaufman Efficiency Ratio (Directional)simple kaufman efficiency with positive and negative, use at 0.3 and -0.3 as threshold
Nurlytan's IndicatorThe indicator draws EMA200 lines of different timeframes: 1m, 5m, 15m, 1h, 4h. There is also a panel that shows the values: RSI of different timeframes, the slope of the EMA200 line, ATR and much more.
MA Band Zones with AlertsThis is a simple script with alerts.
Its a tool, helps traders, who works on price average range, to identify zones away from Moving average + and - side.
it will work on sma, ema, wma.
custom TF
custom source
alert 5 alert variation to choose from.
there is small glitch, kindly uncheck both the background boxes in in the input setting. it will removed in the next version
Turtle Trading System + ATR Trailing StopIndicator Description: Turtle ATR Trailing Stop
The **Turtle ATR Trailing Stop** is a technical indicator designed to enhance the classic Turtle Trading System by incorporating a dynamic trailing stop based on the Average True Range (ATR). This indicator is ideal for traders seeking to manage risk and lock in profits on both long and short positions in trending markets.
Key Features:
- Turtle Trading Levels: Calculates the 20-day highest high and lowest low to identify potential breakout points, a core principle of the Turtle Trading System.
- ATR-Based Trailing Stop: Utilizes a trailing stop that adjusts dynamically based on a multiple of the ATR (default multiplier: 2.0), providing a volatility-adjusted exit mechanism.
- Position Flexibility: Supports both long and short positions, with the trailing stop positioned below the highest price for long trades and above the lowest price for short trades.
- Smooth Updates: The trailing stop updates on each bar, ensuring a more responsive adjustment to price movements, rather than only on new highs or lows.
- Reset Mechanism: Automatically resets the trailing stop when the price deviates significantly (configurable threshold, default 0.1%), adapting to major trend reversals.
- Alerts: Includes customizable alerts that trigger when the price reaches the trailing stop level, notifying traders of potential exit points.
- Debugging Tools: Features an on-chart debug table displaying ATR, Close, Highest Price, Lowest Price, Potential Stop, and Trailing Stop values for real-time analysis.
How It Works:
- For **Long Positions**: The trailing stop starts below the initial close price (minus 2*ATR) and moves up as the highest price increases, locking in profits while trailing at a fixed ATR distance.
- For **Short Positions**: The trailing stop starts above the initial close price (plus 2*ATR) and moves down as the lowest price decreases, protecting against upward price movements.
- The stop resets if the price falls (for long) or rises (for short) beyond the set threshold, ensuring adaptability to new market conditions.
Customization:
- Period Settings: Adjust the length for highs/lows (default 20) and ATR period (default 14).
- ATR Multiplier: Modify the distance of the trailing stop (default 2.0).
- Reset Threshold: Fine-tune the percentage at which the stop resets (default 0.1%).
- Position Type: Switch between "Long" and "Short" modes via input settings.
Usage:
Apply this indicator to any chart in TradingView, set your preferred parameters, and monitor the trailing stop line (yellow) alongside the Turtle highs (red) and lows (blue). Use the debug table to validate calculations and set alerts to stay informed of stop triggers.
This indicator combines the trend-following strength of the Turtle System with a flexible, ATR-based stop-loss strategy, making it a powerful tool for both manual and automated trading strategies.
SMC⁵ – Enhanced Composite + Strong Divergences & LinesSMC⁵⁺ is a next-generation momentum and divergence indicator that fuses four key volume-and-flow metrics into a single, ultra-responsive conviction score—and then plots clear, strong divergence signals directly on that composite line.
Key Logic & Workflow
Composite Construction
On-Balance Volume (OBV) : Captures directional volume flow.
Chaikin Money Flow (CMF) : Weighs close location within the bar by volume.
Cumulative Volume Delta (CVD) : Measures aggressive buyer vs. seller pressure.
Money Flow Index (MFI) : Reflects overbought/oversold conditions using typical price and volume.
Each raw series is transformed into a rolling z-score over a user-configurable lookback (Norm Length). This ensures stationarity and removes boundary artifacts.
Weighted by individual “trust” inputs (OBV, CMF, CVD, MFI weights), then optionally smoothed with an EMA to dial in responsiveness vs. noise.
Gradient Zone Highlight
The composite oscillates between 0–1 (neutral at 0.5).
A dynamic green/red gradient fill instantly shows when conviction enters “High” (>Upper Threshold) or “Low” (<Lower Threshold) zones—perfect for quick visual scans.
Divergence Detection
Regular Divergence:
Requires a minimum % price swing on the composite and a composite delta beyond a dynamic threshold (Reg Δ × StDev), ensuring only the most significant tops/bottoms trigger.
Plotted with bold lines and labels directly on the composite curve for unambiguous signals.
Hidden Divergence:
Uses a lighter threshold (Hid Δ × StDev) and thinner styling to highlight continuation opportunities behind the scenes—so you never miss stealth moves.
Both divergence types are pruned to a configurable maximum to keep your chart clean.
Why It’s Strong
Multi-Metric Confluence: By combining four independent flow/volume metrics, false-signal noise from any single source is virtually eliminated.
Statistical Normalization: Z-score transforms allow direct comparability and robust thresholding across any asset or timeframe.
Dynamic Sensitivity: User-tunable StDev multipliers and minimum Δ filters guarantee that only high-confidence divergences make it through.
Visual Clarity: Divergences are drawn on the actual composite line (not price), making it immediately clear when momentum is shifting beneath price action.
How to Use
Drop SMC⁵⁺ on any chart (works on all symbols/timeframes).
Adjust the four weights to emphasize your favorite flow metric.
Tweak Norm Length, Reg × StDev, and Min Composite Δ to tune sensitivity.
Watch for bold “Reg Div” signals for high-quality reversal setups, and lighter “Hid Div” signals for stealth continuation entries.
Combine with your trend filter or higher-timeframe confluence for pinpoint entries.
SMC⁵⁺ brings institutional-grade volume-flow analysis and divergence detection into one elegant package—empowering you to spot true momentum shifts before the crowd.
TrEx H/L Trendlines [ETPINVEST]TrEx H/L Trendlines - User Guide
🎯 WHAT IS THIS INDICATOR?
TrEx H/L Trendlines is a professional indicator for automatic search and display of price extremes with trendline construction.
🔍 WHAT IS IT USED FOR?
Main tasks:
Extreme identification - automatic search for significant price highs and lows
Trend analysis - building trendlines between found extremes
Reversal point detection - identifying potential zones of direction change
Structural analysis - understanding the internal structure of price movement
Who is it suitable for:
📈 Swing traders - for identifying key turning points
⚡ Day traders - for analyzing intraday structure
🎯 Scalpers - for precise local extreme identification
📊 Analysts - for structural market analysis
⚙️ HOW DOES THE ALGORITHM WORK?
1. Extreme search
The indicator uses a complex algorithm to find significant highs and lows through strictly defined candle combinations.
Validation - verification of compliance with strict mathematical conditions
2. Filtering and alternation
Found extremes undergo additional processing:
Selection of strongest - choosing the most significant extremes in each zone
Ensuring alternation - correct sequence of highs and lows
Time sorting - chronological ordering
3. Trendline construction
Based on filtered extremes, connecting lines are built:
Sequential connection - linking all extremes in order
Trend visualization - displaying overall movement direction
Structure analysis - understanding internal movement waves
🛠️ DETAILED SETTINGS DESCRIPTION
📊 Extremes
Show Extremes
Purpose: Enable/disable extreme display
Default: Enabled
Upper Extreme Color
Purpose: Color of upper extreme markers (highs)
Default: Red
Lower Extreme Color
Purpose: Color of lower extreme markers (lows)
Default: Green
Analysis Depth
Range: 50-300 bars
Default: 200
Purpose: Depth of historical analysis for extreme search
Timeframe recommendations:
- M1-M5: 100-150 bars
- M15-H1: 150-250 bars
- H4-D1: 200-300 bars
📈 Trendline
Show Trendline
Purpose: Enable/disable trendline display
Default: Enabled
Trendline Color
Purpose: Color of trendlines connecting extremes
Default: Yellow
Trendline Width
Range: 1-5 pixels
Default: 1
Purpose: Thickness of trendlines
📈 PRACTICAL USAGE TIPS
🎯 Trading strategies
1. Trading from extremes
✅ Buy signal:
Price approaches lower extreme (green marker)
Reversal pattern forms on lower timeframe
Confirmation by volume or other indicators
✅ Sell signal:
Price approaches upper extreme (red marker)
Reversal pattern forms on lower timeframe
Confirmation by additional signals
2. Trend structure analysis
✅ Uptrend:
Sequential higher highs and lows
Trendlines directed upward
Each new extreme higher than previous
✅ Downtrend:
Sequential lower highs and lows
Trendlines directed downward
Each new extreme lower than previous
3. Trend reversal identification
⚠️ Reversal signals:
Violation of extreme sequence
Change in trendline slope
Formation of divergences with oscillators
💡 Settings optimization
For scalping (M1-M5):
Analysis Depth: 100-150
Focus on fresh extremes
For day trading (M15-H1):
Analysis Depth: 150-200
Balance between history and relevance
For swing trading (H4-D1):
Analysis Depth: 200-300
Maximum analysis depth
🔍 Additional techniques
Combining with other tools:
Oscillators - finding divergences at extremes
TrEx S/R Levels - applying support and resistance levels
⚠️ IMPORTANT FEATURES
✅ Advantages:
Automation - no manual extreme search required
Mathematical precision - strict selection algorithms
Universality - works on any assets and timeframes
Ease of use - intuitive interface
Trend analysis - automatic structure construction
Real-time updates - on each candle close
⚠️ Limitations:
Requires history - needs minimum 50 bars for operation
Lag - extremes determined after their formation
🎯 CONCLUSION
TrEx H/L Trendlines is a powerful tool for automatic analysis of extremes and trend structure of the market. The indicator is perfect for studying price behavior and can serve as a foundation for developing trading strategies.
Samrat Directional Movement Index with Mediun to track ADX Samrat Directional Movement Index with Mediun to track ADX has a mediun line added for better tracking of ADX and +DI an -DI for traders.Feedback welcome
Chiaroscuro Scalp Model A [Signal + Visuals]This indicator is based on the Chiaroscuro Scalp Model A — a precision-based scalping system that identifies high-probability trade setups during the London and New York sessions. It combines daily range expansion, order blocks, fair value gaps, and W/M reversal patterns to generate 20-pip scalping opportunities with clearly plotted stop loss and take profit levels. Ideal for intraday traders seeking structured, rule-based entries.
SMA Fecho na Máxima, Mínima e NormalLarry Williams' Strategy - Short Moving Average Channel
✅ Indicators used:
High SMA: 3 periods
Low SMA: 3 periods
30-period Closing SMA: used as a trend filter
Chiaroscuro Scalp Model A [Signal + Visuals]This indicator is based on the Chiaroscuro Scalp Model A — a precision-based scalping system that identifies high-probability trade setups during the London and New York sessions. It combines daily range expansion, order blocks, fair value gaps, and W/M reversal patterns to generate 20-pip scalping opportunities with clearly plotted stop loss and take profit levels. Ideal for intraday traders seeking structured, rule-based entries.
Intraday vs Overnight OBV🔍 Purpose
This indicator provides a volume-weighted cumulative flow model that mimics On-Balance Volume (OBV) logic but splits the volume impact into intraday vs. overnight sessions. It allows traders to track how volume contributes to price movement in each session and identify whether buying/selling pressure is stronger during or outside of regular trading hours.
This indicator attempts to alleviate some of the downfalls of the standard OBV indicator, which only looks at total volume and total direction. The price of stocks generally behaves extremely differently during market hours and outside market hours, and many of the large moves happen outside of regular market hours on low volume.
⚙️ Core Features
1) OBV-style calculation:
If price increases → volume is added to the OBV stream.
If price decreases → volume is subtracted.
If price is flat → OBV remains unchanged.
2) Session splitting:
Intraday session: movement from today's open to close.
Overnight session: movement from yesterday’s close to today’s open.
Volume is split proportionally between these two periods based on user input.
3) Four visualization modes:
"Intraday" — plots only OBV from intraday price movement.
"Overnight" — plots only OBV from overnight price movement.
"Aggregate" — plots the sum of intraday and overnight OBV for a holistic view.
"Both Intraday and Overnight" — plots intraday and overnight OBV separately on the same chart.
📐 Inputs
1) Synthetic OBV Type:
"Intraday" — Show OBV from open to close only.
"Overnight" — Show OBV from prior close to today's open only.
"Aggregate" — Show a single line combining both.
"Both Intraday and Overnight" — Show both lines on the same chart.
2) Estimated Overnight Volume %:
Percentage of total daily volume assumed to occur during extended hours.
The rest is allocated to regular session (intraday).
Default: 20% overnight, 80% intraday.
🧮 How It Works
Volume Splitting:
Total bar volume is split into overnight Volume and intraday Volume:
Intraday change is the difference between today’s close and open.
Overnight change is the difference between today’s open and yesterday’s close.
Session OBV Calculations:
OBV is incremented/decremented by the session's allocated volume, depending on whether the session’s price change was positive or negative.
Aggregate OBV:
Combines both session deltas for a holistic volume flow view.
📊 Interpretation
Rising OBV (any stream) suggests accumulation; falling OBV suggests distribution.
Divergences between price and OBV lines (especially overnight vs. intraday) can reveal where hidden buying/selling is occurring.
Comparing intraday vs overnight OBV can help:
Spot whether institutional demand is building off-hours.
Detect retail vs. institutional behavior (retail trades often dominate intraday; institutional may prefer after-hours).
💡 Use Cases
Identify whether overnight gaps are supported by overnight volume momentum.
Detect accumulation in low-volume overnight sessions.
Compare intraday and overnight strength during earnings season or news events.
Complement traditional OBV by seeing session-based breakdowns.