Quantum Volume Pulse Screener - Multi TimeframeQuantum Volume Pulse Screener - Multi Timeframe
Overview
The Quantum Volume Pulse Screener is a powerful Pine Script® indicator designed for TradingView to monitor multiple symbols across user-selected timeframes (1-minute or 5-minute). This tool provides traders with real-time insights into price action, Volume Weighted Average Price (VWAP), Relative Strength Index (RSI), and buy/sell signals for a curated list of high-profile stocks and ETFs, including SPY, QQQ, AAPL, AMZN, GOOG, GOOGL, META, AVGO, TSLA, and NFLX. The screener displays data in a clean, customizable table, enabling quick decision-making for active traders. Fully customizable to any ETFs or Stocks.
Key Features
Multi-Symbol Analysis: Tracks up to 10 user-defined symbols, defaulting to major ETFs (SPY, QQQ) and leading tech stocks (AAPL, AMZN, GOOG, GOOGL, META, AVGO, TSLA, NFLX).
Customizable Timeframe: Toggle between 1-minute and 5-minute timeframes for flexible analysis.
Comprehensive Metrics: Displays real-time data for:
Price: Current closing price with color-coded daily change (green for positive, pink for negative).
VWAP: Volume Weighted Average Price for intraday trend analysis.
RSI: 14-period RSI with overbought (>70, pink) and oversold (<30, green) highlights.
Signals: Generates "BUY" (RSI < 30), "SELL" (RSI > 70), or neutral ("-") signals.
Dynamic Table Display: Presents data in a clear, top-center table with up to 500 labels for historical reference.
Error Handling: Alerts users to invalid data (e.g., incorrect symbols or timeframes) and displays a weekend warning for stale data.
Real-Time Updates: Refreshes data on every bar to ensure accuracy during live trading sessions.
How It Works
The script fetches real-time data for each symbol using TradingView’s request.security function, calculating:
Price: Based on the current bar’s close.
VWAP: Computed using the HLC3 (High + Low + Close / 3) formula.
RSI: 14-period RSI to identify momentum and potential reversals.
Daily Change: Percentage change in price to gauge short-term performance.
Signals: RSI-based buy/sell triggers for quick trade identification.
The data is organized into arrays and displayed in a table with color-coded visuals for easy interpretation. Green indicates bullish conditions (e.g., RSI < 30 or positive daily change), while pink highlights bearish conditions (e.g., RSI > 70 or negative daily change).
Usage Instructions
Add to Chart: Apply the indicator to any TradingView chart.
Configure Settings:
Select the desired timeframe (1-minute or 5-minute) via the input menu.
Customize symbols by editing the ticker inputs (defaults to SPY, QQQ, AAPL, etc.).
Interpret the Table:
Monitor the table at the top-center of the chart for real-time updates.
Look for "BUY" or "SELL" signals based on RSI thresholds.
Use VWAP and price data to confirm trends or reversals.
Check for Warnings:
If "INVALID" appears, verify the symbol or timeframe settings.
On weekends, a warning advises switching to a daily timeframe due to potentially stale data.
Notes
License: This script is licensed under the Mozilla Public License 2.0 (mozilla.org).
Author: © StanTheTradingMan.
Limitations: Ensure symbols are correctly formatted (e.g., "NASDAQ:AAPL" for stocks, "SPY" for ETFs). Invalid symbols or unavailable data may trigger error messages.
Best Use Case: Ideal for day traders and swing traders monitoring multiple assets for short-term opportunities.
Why Use This Screener?
The Quantum Volume Pulse Screener consolidates critical market data into a single, visually intuitive interface, saving traders time and enhancing decision-making. Whether tracking major indices or individual stocks, this tool provides a real-time edge in fast-moving markets.
For support or feedback, refer to TradingView’s community forums or contact the author via TradingView. Happy trading!
Educational
3 Smoothed Moving Averagethis is 3 sma 9,21,200 especially used for long term crosses or short term crosses as well. when the 9,21 cross under the 200 you sell. When 9,21 cross above 200 you buy.
Smart Voids(fvg)🧠 Smart Voids (fvg) by DuncanX 🔥 🔥
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It spots the real voids the market leaves behind.
Inspired by SMC and ICT’s Fair Value Gap logic —
but cleaner, faster, and smarter.
It only marks true displacement gaps where liquidity was taken.
One color. No noise. Just pure intent.
No clutter — just high-probability zones.
If a box appears,
someone’s likely to react there.
See it early.
Own the move.🔥 🔥 🔥
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congestion final1 by saurabh maggo
Title: Indian Market Congestion Indicator
Description:
The Indian Market Congestion Indicator is a powerful tool designed for traders in the Indian stock market, specifically tailored for indices like BANKNIFTY on a 5-minute chart. This indicator identifies periods of price congestion—where the market is consolidating within a tight range—and detects potential breakouts or breakdowns, helping you spot high-probability trading opportunities during the NSE session (9:15 AM–3:30 PM IST).
Key Features:
Congestion Detection: Identifies consolidation zones based on price range, ATR (Average True Range), volume, and RSI filters. A blue background or table cell indicates a congestion period.
Breakout/Breakdown Signals: Detects breakouts (green) and breakdowns (red) from congestion zones, confirmed by volume spikes, price movement, and volatility filters.
Post-Congestion and Pullback Detection: Highlights post-congestion periods (yellow) and pullback entries (purple) after breakouts/breakdowns for safer trade entries.
Customizable Colors: Adjust the colors and transparency for each state (Congestion, Breakout Up, Breakdown, Post-Congestion, Pullback) directly in the settings panel, allowing you to fine-tune visibility for both background and table displays.
State Table: Displays the current market state in a table at the top-right corner, with trend direction (light green/red) if the trend filter is enabled.
Advanced Filters: Includes optional filters like RSI, volume, volatility (ATR), trend, and momentum (MACD) to reduce false signals and improve accuracy.
Session and Timeframe Support: Designed for the NSE session, with options to show indicators only for the current day and adjust parameters for different timeframes.
Alerts: Set up alerts for congestion, breakouts, and breakdowns, with enhanced alert messages providing context like breakout level, volatility, and trend.
DTC Advanced | 1.4 📈 DTC Advanced | 1.4 – All-in-One Trading Indicator
DTC Advanced | 1.4 is a powerful, professional-grade trading tool designed to help traders identify trends, plan trades, and manage risk—all in one seamless, visual interface. It combines trend detection, real-time trade planning, and performance monitoring into a single overlay, making it ideal for active traders who want clarity, speed, and precision in their decision-making.
🧩 Core Features
🔹 1. Adaptive Trend Detection System
DTC Advanced uses a layered set of moving averages to track market momentum in real time. It identifies whether the market is trending upward, downward, or moving sideways. This system adapts to different market conditions and helps traders avoid false signals by waiting for clean alignment across multiple momentum layers.
* Bullish Trend: When all levels align upward.
* Bearish Trend: When all levels align downward.
* Neutral Trend: When there’s no clear alignment.
The trend is visually represented using colored clouds and optional candle coloring, making it easy to spot trend changes at a glance.
🔹 2. Real-Time Trade Signal Alerts
The indicator automatically detects and marks key moments when a new trend begins. It displays clear labels like “LONG” or “SHORT” on the chart when the market flips direction.
These trade signals are designed to:
* Appear only at confirmed turning points.
* Avoid noise and premature entries.
* Help traders align with new market momentum early.
🔹 3. Intelligent Trade Planning (Entry, SL, TP)
As soon as a trend shift is detected, DTC Advanced calculates:
* Entry Point – Based on current market price.
* Stop Loss – Based on recent price structure.
* Take Profits (TP1 to TP4) – Based on a consistent risk-reward ratio (from 1:1 to 4:1).
These levels are drawn on the chart as clear horizontal lines with labels, giving the trader a full, ready-made trade plan in real time. This allows for disciplined trading with predefined risk and profit targets.
🔹 4. Dynamic Stop Loss Sizing
Traders can choose how aggressive or conservative they want their Stop Loss to be:
* Tiny – Very tight SL for scalping or low-volatility environments.
* Small / Mid / Large – For larger market moves or longer-term trades.
This flexibility allows the indicator to adapt to different trading styles and asset classes.
🔹 5. Live Performance Dashboard
A built-in mini-dashboard displays everything the trader needs to know at a glance:
* Current trend direction
* Entry and Stop Loss prices
* Take Profit targets
* Real-time profit/loss estimate
* Capital and leverage input
The dashboard updates automatically as price action unfolds. It's fully integrated into the chart view and helps traders stay focused without switching between tools or calculating manually.
🔹 6. Clean Visuals with Custom Control
Traders can customize:
* Which elements to display (e.g., TP/SL levels, trend cloud, dashboard)
* The style and color of trend visuals
* Whether to color candles based on trend
This ensures that DTC Advanced fits seamlessly into any trader’s chart setup, without adding clutter.
✅ Key Benefits
* Simplifies Decision-Making: Trade with confidence using pre-calculated entries and exits.
* Improves Consistency: Follow a structured, repeatable process every time.
* Saves Time: No need to manually draw levels or calculate risk/reward.
* Enhances Discipline: Stick to your plan with clearly defined targets.
🎯 Who Is It For?
DTC Advanced | 1.4 is ideal for:
* Swing traders who want to catch full trend moves.
* Intraday traders looking for clean signals and fast decisions.
* Beginner traders seeking structure and clarity.
* Experienced traders who want to scale decisions and automate risk logic.
🧠 What Makes It Unique?
Unlike most indicators that offer either trend analysis or trade planning, DTC Advanced | 1.4 does **both**—plus real-time performance tracking.It acts like your personal trade assistant, always one step ahead, helping you read the market, plan your moves, and stick to a strategy.
Watermark DMT📌 Description – Watermark Static (Customizable)
This indicator displays a static watermark on your chart with fully customizable text. It's ideal for showing your channel name, brand, strategy title, or any personal message directly on the chart background.
✅ Features:
Custom text input
Adjustable text size, text color, and background color
Flexible positioning: top, middle, bottom × left, center, right
No blinking or animation – stable and always visible
Use it for:
Branding in screenshots or videos
Quick layout identification
Clean and organized visual appearance
2 CGC EMAChecks for 2 green closes above EMA.
Sends only one buy signal when this happens initially.
Won't send another buy signal until price closes below the EMA at least once (resets).
EMA is plotted with your offset visually.
Candle Range 915Candle Range 915 (CR915) is a multi-session visualization tool designed for traders applying Candle Range Theory to intraday decision-making.
This script highlights key range zones formed by the following session-specific candles (based on New York time):
• 9:00 PM – Asia session
• 1:00 AM – London expansion candle
• 5:00 AM – NY continuation/reversal candle
• 8:00 AM – CRT staging candle
• 9:00 AM – CRT decision candle
• 5:00 PM – CBDR (Central Bank Dealers Range)
For each session, the high, low, and optional equilibrium (EQ) levels are plotted with customizable extensions. Labels are placed at the end of each range, and breakout alerts are available for the 8:00 AM and 5:00 PM CRT zones.
The script also includes:
Previous Day High/Low reference lines
EQ toggle per session
Dynamic Daylight Saving Time (DST) adjustment
Optional labeling and color control
This tool is built with a time-based narrative in mind and supports traders analyzing structure, order flow, and key liquidity windows across intraday sessions.
Note: This is a visualization tool only. It does not generate signals or make buy/sell recommendations.
Bullish Reversal Hedge📋 Indicator Description – Bullish Reversal Hedge (XAUUSD, 15m Chart)
This indicator is specifically designed for XAUUSD (Gold) on the 15-minute timeframe. It uses RSI (Relative Strength Index) and bullish candle confirmation to detect potential reversal points.
When RSI crosses above the oversold level (30) and a bullish candle forms, the system triggers a Buy Entry (1 Lot). If the price drops by a certain number of points and the Buy Target is not hit, a Sell Entry (2 Lots) is placed as a hedge.
🔹 Key Hedging Feature:
The hedging logic is designed in such a way that loss-making trades are often closed at breakeven or in profit. It helps reduce the impact of wrong entries through dynamic reversal-based protection.
🔹 Core Features:
Point-based entry, target, and stop loss customized for XAUUSD volatility.
Smart hedge entry system after initial trade failure.
Visual labels and alert support for entries, targets, and stop loss.
Ideal for intraday strategies on the 15-minute chart.
⚠️ Disclaimer
This indicator is intended for educational and backtesting purposes only. The hedging logic is crafted to maximize the chance of recovering from loss-making positions by closing them at breakeven or in profit most of the time.
However, it does not guarantee any profits.
Trading in financial markets carries inherent risk. Please do your own analysis and consult a certified financial advisor before trading with real capital.
Advanced Petroleum Market Model (APMM)Advanced Petroleum Market Model (APMM): A Multi-Factor Fundamental Analysis Framework for Oil Market Assessment
## 1. Introduction
The petroleum market represents one of the most complex and globally significant commodity markets, characterized by intricate supply-demand dynamics, geopolitical influences, and substantial price volatility (Hamilton, 2009). Traditional fundamental analysis approaches often struggle to synthesize the multitude of relevant indicators into actionable insights due to data heterogeneity, temporal misalignment, and subjective weighting schemes (Baumeister & Kilian, 2016).
The Advanced Petroleum Market Model addresses these limitations through a systematic, quantitative approach that integrates 16 verified fundamental indicators across five critical market dimensions. The model builds upon established financial engineering principles while incorporating petroleum-specific market dynamics and adaptive learning mechanisms.
## 2. Theoretical Framework
### 2.1 Market Efficiency and Information Integration
The model operates under the assumption of semi-strong market efficiency, where fundamental information is gradually incorporated into prices with varying degrees of lag (Fama, 1970). The petroleum market's unique characteristics, including storage costs, transportation constraints, and geopolitical risk premiums, create opportunities for fundamental analysis to provide predictive value (Kilian, 2009).
### 2.2 Multi-Factor Asset Pricing Theory
Drawing from Ross's (1976) Arbitrage Pricing Theory, the model treats petroleum prices as driven by multiple systematic risk factors. The five-factor decomposition (Supply, Inventory, Demand, Trade, Sentiment) represents economically meaningful sources of systematic risk in petroleum markets (Chen et al., 1986).
## 3. Methodology
### 3.1 Data Sources and Quality Framework
The model integrates 16 fundamental indicators sourced from verified TradingView economic data feeds:
Supply Indicators:
- US Oil Production (ECONOMICS:USCOP)
- US Oil Rigs Count (ECONOMICS:USCOR)
- API Crude Runs (ECONOMICS:USACR)
Inventory Indicators:
- US Crude Stock Changes (ECONOMICS:USCOSC)
- Cushing Stocks (ECONOMICS:USCCOS)
- API Crude Stocks (ECONOMICS:USCSC)
- API Gasoline Stocks (ECONOMICS:USGS)
- API Distillate Stocks (ECONOMICS:USDS)
Demand Indicators:
- Refinery Crude Runs (ECONOMICS:USRCR)
- Gasoline Production (ECONOMICS:USGPRO)
- Distillate Production (ECONOMICS:USDFP)
- Industrial Production Index (FRED:INDPRO)
Trade Indicators:
- US Crude Imports (ECONOMICS:USCOI)
- US Oil Exports (ECONOMICS:USOE)
- API Crude Imports (ECONOMICS:USCI)
- Dollar Index (TVC:DXY)
Sentiment Indicators:
- Oil Volatility Index (CBOE:OVX)
### 3.2 Data Quality Monitoring System
Following best practices in quantitative finance (Lopez de Prado, 2018), the model implements comprehensive data quality monitoring:
Data Quality Score = Σ(Individual Indicator Validity) / Total Indicators
Where validity is determined by:
- Non-null data availability
- Positive value validation
- Temporal consistency checks
### 3.3 Statistical Normalization Framework
#### 3.3.1 Z-Score Normalization
The model employs robust Z-score normalization as established by Sharpe (1994) for cross-indicator comparability:
Z_i,t = (X_i,t - μ_i) / σ_i
Where:
- X_i,t = Raw value of indicator i at time t
- μ_i = Sample mean of indicator i
- σ_i = Sample standard deviation of indicator i
Z-scores are capped at ±3 to mitigate outlier influence (Tukey, 1977).
#### 3.3.2 Percentile Rank Transformation
For intuitive interpretation, Z-scores are converted to percentile ranks following the methodology of Conover (1999):
Percentile_Rank = (Number of values < current_value) / Total_observations × 100
### 3.4 Exponential Smoothing Framework
Signal smoothing employs exponential weighted moving averages (Brown, 1963) with adaptive alpha parameter:
S_t = α × X_t + (1-α) × S_{t-1}
Where α = 2/(N+1) and N represents the smoothing period.
### 3.5 Dynamic Threshold Optimization
The model implements adaptive thresholds using Bollinger Band methodology (Bollinger, 1992):
Dynamic_Threshold = μ ± (k × σ)
Where k is the threshold multiplier adjusted for market volatility regime.
### 3.6 Composite Score Calculation
The fundamental score integrates component scores through weighted averaging:
Fundamental_Score = Σ(w_i × Score_i × Quality_i)
Where:
- w_i = Normalized component weight
- Score_i = Component fundamental score
- Quality_i = Data quality adjustment factor
## 4. Implementation Architecture
### 4.1 Adaptive Parameter Framework
The model incorporates regime-specific adjustments based on market volatility:
Volatility_Regime = σ_price / μ_price × 100
High volatility regimes (>25%) trigger enhanced weighting for inventory and sentiment components, reflecting increased market sensitivity to supply disruptions and psychological factors.
### 4.2 Data Synchronization Protocol
Given varying publication frequencies (daily, weekly, monthly), the model employs forward-fill synchronization to maintain temporal alignment across all indicators.
### 4.3 Quality-Adjusted Scoring
Component scores are adjusted for data quality to prevent degraded inputs from contaminating the composite signal:
Adjusted_Score = Raw_Score × Quality_Factor + 50 × (1 - Quality_Factor)
This formulation ensures that poor-quality data reverts toward neutral (50) rather than contributing noise.
## 5. Usage Guidelines and Best Practices
### 5.1 Configuration Recommendations
For Short-term Analysis (1-4 weeks):
- Lookback Period: 26 weeks
- Smoothing Length: 3-5 periods
- Confidence Period: 13 weeks
- Increase inventory and sentiment weights
For Medium-term Analysis (1-3 months):
- Lookback Period: 52 weeks
- Smoothing Length: 5-8 periods
- Confidence Period: 26 weeks
- Balanced component weights
For Long-term Analysis (3+ months):
- Lookback Period: 104 weeks
- Smoothing Length: 8-12 periods
- Confidence Period: 52 weeks
- Increase supply and demand weights
### 5.2 Signal Interpretation Framework
Bullish Signals (Score > 70):
- Fundamental conditions favor price appreciation
- Consider long positions or reduced short exposure
- Monitor for trend confirmation across multiple timeframes
Bearish Signals (Score < 30):
- Fundamental conditions suggest price weakness
- Consider short positions or reduced long exposure
- Evaluate downside protection strategies
Neutral Range (30-70):
- Mixed fundamental environment
- Favor range-bound or volatility strategies
- Wait for clearer directional signals
### 5.3 Risk Management Considerations
1. Data Quality Monitoring: Continuously monitor the data quality dashboard. Scores below 75% warrant increased caution.
2. Regime Awareness: Adjust position sizing based on volatility regime indicators. High volatility periods require reduced exposure.
3. Correlation Analysis: Monitor correlation with crude oil prices to validate model effectiveness.
4. Fundamental-Technical Divergence: Pay attention when fundamental signals diverge from technical indicators, as this may signal regime changes.
### 5.4 Alert System Optimization
Configure alerts conservatively to avoid false signals:
- Set alert threshold at 75+ for high-confidence signals
- Enable data quality warnings to maintain system integrity
- Use trend reversal alerts for early regime change detection
## 6. Model Validation and Performance Metrics
### 6.1 Statistical Validation
The model's statistical robustness is ensured through:
- Out-of-sample testing protocols
- Rolling window validation
- Bootstrap confidence intervals
- Regime-specific performance analysis
### 6.2 Economic Validation
Fundamental accuracy is validated against:
- Energy Information Administration (EIA) official reports
- International Energy Agency (IEA) market assessments
- Commercial inventory data verification
## 7. Limitations and Considerations
### 7.1 Model Limitations
1. Data Dependency: Model performance is contingent on data availability and quality from external sources.
2. US Market Focus: Primary data sources are US-centric, potentially limiting global applicability.
3. Lag Effects: Some fundamental indicators exhibit publication lags that may delay signal generation.
4. Regime Shifts: Structural market changes may require model recalibration.
### 7.2 Market Environment Considerations
The model is optimized for normal market conditions. During extreme events (e.g., geopolitical crises, pandemics), additional qualitative factors should be considered alongside quantitative signals.
## References
Baumeister, C., & Kilian, L. (2016). Forty years of oil price fluctuations: Why the price of oil may still surprise us. *Journal of Economic Perspectives*, 30(1), 139-160.
Bollinger, J. (1992). *Bollinger on Bollinger Bands*. McGraw-Hill.
Brown, R. G. (1963). *Smoothing, Forecasting and Prediction of Discrete Time Series*. Prentice-Hall.
Chen, N. F., Roll, R., & Ross, S. A. (1986). Economic forces and the stock market. *Journal of Business*, 59(3), 383-403.
Conover, W. J. (1999). *Practical Nonparametric Statistics* (3rd ed.). John Wiley & Sons.
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. *Journal of Finance*, 25(2), 383-417.
Hamilton, J. D. (2009). Understanding crude oil prices. *Energy Journal*, 30(2), 179-206.
Kilian, L. (2009). Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. *American Economic Review*, 99(3), 1053-1069.
Lopez de Prado, M. (2018). *Advances in Financial Machine Learning*. John Wiley & Sons.
Ross, S. A. (1976). The arbitrage theory of capital asset pricing. *Journal of Economic Theory*, 13(3), 341-360.
Sharpe, W. F. (1994). The Sharpe ratio. *Journal of Portfolio Management*, 21(1), 49-58.
Tukey, J. W. (1977). *Exploratory Data Analysis*. Addison-Wesley.
Gibbs - Algorithmic Macro TrackerThis script plots visual markers (lines and labels) on the price chart to highlight specific macro announcement windows (aka “macro times”) during the trading day.
Specifically:
It marks time windows like 08:20–08:40, 09:50–10:10, 03:20–03:40, etc., depending on session (US, London, Early US).
It draws vertical lines at the start and end of each window.
It optionally extends projection lines (dotted) up to the current high.
It places labels with the word “MACRO” and the time range, so you know visually when you’re in or near macro-sensitive periods.
The display works only on intraday timeframes (≤5min).
You can turn each macro window on or off using the input panel.
It adapts the timezone you set (default GMT-4, i.e., New York).
Intra-day mean crossover indicator📈 Intra-day mean crossover + Key Daily MA Touch (Bullish & Bearish)
This indicator generates buy/sell signals when the MACD line crosses the signal line and price has interacted with key daily moving averages:
10 EMA
21 EMA
50 SMA
🔍 How It Works
Bullish Signal (🟢 Green Arrow Up)
Triggered when:
MACD line crosses above the signal line (bullish crossover)
Price has touched any of the key daily MAs within the past N candles (default: 10)
Bearish Signal (🔴 Red Arrow Down)
Triggered when:
MACD line crosses below the signal line (bearish crossover)
Price has touched any of the same MAs within the same lookback window.
⚙️ Inputs
MACD Fast / Slow / Signal Lengths (default: 12 / 26 / 9)
Number of candles to check for MA touch (default: 10)
Tolerance (%) for how close price must come to an MA to count as a "touch" (default: 0.1%)
⏰ Alerts
This script includes built-in alert conditions:
Bullish Signal Alert – Fires when the 🟢 green arrow appears
Bearish Signal Alert – Fires when the 🔴 red arrow appears
You can create alerts via the TradingView interface using these conditions.
👤 Author
Created by: O-Hyphen
Version: 1.0
Date: May 2025
🛑 Disclaimer
This script is provided for educational and informational purposes only.
It is not financial advice. Use at your own risk.
Always do your research before making trading decisions.
Past performance does not guarantee future results.
Monthly Session Divider (Alt Background) | Chart_BullyEasily visualize monthly transitions with alternating background shading. Designed for traders who like to spot macro trends, monthly opens, and institutional order flow.
✅ Alternates background color each month
✅ Auto-detects new months using live date logic
✅ Great for RTH or ETH intraday and swing strategies
✅ Clean gray overlay with low opacity
✅ Works on intraday, daily, and weekly charts
✅ Built for clarity, not clutter
Use this tool to:
Identify monthly pivots or volume rotations
Anchor monthly VWAPs or FVGs with visual context
Frame long-term setups with clean visual breaks
Weekly Session Divider (Alt Background) | Chart_BullyThis tool adds subtle alternating background shading for each new week, helping you visually distinguish trading sessions at a glance.
✅ Alternates background by weekly session
✅ Works great on intraday and daily timeframes
✅ Ideal for traders who rely on weekly pivots, volume profiles, or macro structure
✅ Compatible with both RTH and ETH charts
✅ Clean design for easy chart integration
Use it to improve your session awareness, spot emerging weekly trends, and avoid mental fatigue when reading extended charts.
Alternate Day Divider Background | Chart_BullyThis free utility shades every other trading day on your chart, helping you visually separate sessions and spot daily rhythm or pattern shifts more easily.
✅ Automatically alternates background shading by day
✅ Works on both Regular Trading Hours (RTH) and Extended Trading Hours (ETH)
✅ Especially useful on intraday and daily timeframes
✅ Helps identify breakout setups, trend shifts, or volume cycles by session
Great for scalpers, day traders, and anyone who wants a subtle visual edge without chart clutter.
IALGO Composite Ema BIST ScreenerIALGO Composite EMA BIST Screener™ is a precision-engineered trend analysis and screener tool built for traders who seek clarity, structure, and actionable signals in the dynamic Turkish equity markets. Combining normalized multi-timeframe EMAs with a proprietary algorithm, it creates a comprehensive decision matrix by filtering these trends through momentum and MACD conditions—offering refined insight into market opportunities.
What sets IALGO Composite EMA apart is its focus on identifying potential Major Opportunities, uncovering early-stage trends, spotting oversold bottoming stocks, and signaling potential exit zones, all while highlighting different types of trends and helping confirm their validity. This screener covers the entire BIST stock universe with a built-in comprehensive group list and also allows users to create custom watchlists, set alarms, and monitor them effortlessly.
Rather than manually checking each chart, IALGO provides traders with a strategic overview of where a stock stands technically—helping to assess opportunities without getting lost in market noise. It also takes into account trend-aligned Fibonacci levels, presented visually within the same matrix for deeper context in trend-based decisions.
🔶 FEATURE HIGHLIGHTS
The script includes a range of advanced features tailored for efficient trend trading:
• 🔁 Normalized Multi-Period EMAs
Unique algorithmic blending of different EMA timeframes for clearer trend mapping.
• 📊 MACD & Momentum Filtering
Enhances signal quality by confirming with momentum strength and trend acceleration.
• 🚀 Big Opportunity Detection
Captures high-potential setups during trend transitions or accumulation zones.
• 📉 Oversold Stock Scanner
Identifies bottoms or undervalued assets using EMA-momentum cross-referencing.
• 🌀 Trend Start & Exit Signal Zones
Flags key reversal and exhaustion points based on composite readings.
• 🔍 Dynamic Trend Type Classifier
Detects and categorizes different market trend conditions in real time.
• 📈 Integrated Fibonacci Trend Zones
Visualizes Fib levels aligned with the ongoing trend in one consolidated view.
• 🧭 Full BIST Coverage & Group Management
Includes BIST Tüm list by default and supports custom group creation and tracking.
• 🔔 Built-in Alerts & Custom Watchlists
Track your favorites and get notified instantly when critical conditions arise.
IALGO Composite EMA BIST Screener™ is not just a visual tool; it's a disciplined method to reduce subjectivity in chart analysis. While it doesn’t promise profits, it brings structure, speed, and statistical awareness to your decision-making process—giving you a consistent edge in Turkish equity markets.
🧠 Because understanding a trend is good. But recognizing the right trend at the right time? That’s IALGO.
🔶 HOW TO GET ACCESS
You can see detailed instructions on Authors description to get instant access to this indicator & and related contact information
📡 ETF RADAR HUD (SPY · QQQ · SPX) Auto-detects if you’re on SPY, SPX or QQQ
Shows a sleek status dashboard with:
Trend condition (EMA crossover)
Volatility meter (based on ATR vs price)
RSI mood
Volume activity
Instrument tag ("SPY 🔍", "QQQ 🚀", "SPX" or "Other 🪐")
🧠 Strategy:
We build a situational awareness HUD so SPY/QQQ/SPX day traders know:
Are we trending or ranging?
Is volatility expanding?
Are we in overbought/oversold territory?
Is there a volume surge?
Bot LabelsLive 1-minute BTCGBP chart with automated VWAP, current volume, and 20-bar average volume labels. Designed for bot integration to detect high-volume breakouts or momentum shifts. Updated every minute with real-time data for precision entry signals. Ideal for algorithmic trading or volume-based strategy monitoring.
Critical Pivot PointsCritical pivot points, marked on chart.
Top pivot points marked with green box
Bottom pivot points marked with red box
Simple & easy!
