9:30 High / Low Start at Candleالعربية
اسم المؤشر: 9:30 هاي – فاصل 30 دقيقة فقط
الوصف:
هذا المؤشر يقوم برسم خط أفقي عند أعلى سعر (High) لشمعه افتتاح السوق الأمريكي الساعة 9:30 صباحًا بتوقيت نيويورك.
يعمل فقط على الفواصل الزمنية 30 دقيقة وأقل، ويمتد الخط حتى نهاية اليوم.
يمكنك اختيار عرض اليوم الحالي أو اليوم السابق فقط.
يعتبر أداة مفيدة لتحديد مستويات المقاومة والاختراقات المهمة خلال جلسة التداول الأمريكية.
المميزات:
رسم الخط مباشرة على شمعة 9:30.
تمديد الخط حتى نهاية اليوم تلقائيًا.
خيار عرض اليوم الحالي أو اليوم السابق فقط.
يعمل بدقة مع توقيت نيويورك والتوقيت الصيفي.
English
Indicator Name: 9:30 High – 30m Only
Description:
This indicator draws a horizontal line at the High of the US market opening candle at 9:30 AM New York time.
It works only on 30-minute charts or lower, and the line extends automatically until the end of the day.
You can choose to display the current day or the previous day only.
This tool is useful for identifying key resistance levels and potential breakouts during the US trading session.
Features:
Line plotted directly on the 9:30 candle.
Line extends automatically to the end of the day.
Option to show current day or previous day only.
Fully compatible with New York time and daylight saving.
Forecasting
PAN ADR/AWR/AMR/AQR/AYR Zones V2Overview
This indicator displays multi-timeframe trading zones based on historical price ranges. It calculates dynamic support and resistance levels across five different timeframes (daily, weekly, monthly, quarterly, yearly) to help identify potential price boundaries and breakout areas.
Core Functionality
Daily Zones (Red)
Calculates Average Daily Range (ADR) using a configurable period (default: 22 days)
Creates upper and lower zones around the daily opening price
Adjustable offset percentage to expand/contract the zone width
Updates at the start of each new trading day
Weekly Zones (Blue)
Calculates Average Weekly Range (AWR) using a configurable period (default: 52 weeks)
Creates upper and lower zones around the weekly opening price
Adjustable offset percentage for zone width customization
Updates at the start of each new trading week
Monthly Zones (Green)
Calculates Average Monthly Range (AMR) using a configurable period (default: 12 months)
Creates upper and lower zones around the monthly opening price
Adjustable offset percentage for fine-tuning
Updates at the start of each new month
Quarterly Zones (Orange)
Calculates Average Quarterly Range (AQR) using a configurable period (default: 8 quarters)
Creates upper and lower zones around the quarterly opening price
Adjustable offset percentage for zone adjustment
Updates at the start of each new quarter
Yearly Zones (Purple)
Calculates Average Yearly Range (AYR) using a configurable period (default: 5 years)
Creates upper and lower zones around the yearly opening price
Adjustable offset percentage for customization
Updates at the start of each new year
Key Features
Band Thickness Control: All zones include adjustable band thickness (default: 0.1%) to create visible bands rather than single lines, making support/resistance areas clearer.
Individual Timeframe Toggle: Each timeframe can be independently enabled or disabled, allowing focused analysis on specific time horizons.
Customizable Transparency: Each timeframe's zones have adjustable transparency settings (0-100%) for better visual management when multiple zones overlap.
Non-Repainting Calculation: All calculations occur only at the start of each respective period, ensuring historical zones remain fixed and don't repaint.
Offset Adjustment: Each timeframe includes an offset percentage to expand or contract the zones relative to the calculated average range.
Practical Applications
Range Trading: Identify potential support and resistance levels for range-bound trading strategies
Breakout Confirmation: Use zone breaks as confirmation signals for trend continuation or reversal
Multi-Timeframe Analysis: Compare zones across different timeframes to identify confluence areas
Risk Management: Set stop-loss and take-profit levels based on zone boundaries
Market Structure: Understand how price interacts with historical range boundaries
Usage Tips
Higher Timeframe Priority: Zones from longer timeframes (yearly, quarterly) generally carry more significance than shorter timeframe zones.
Zone Confluence: Areas where multiple timeframe zones overlap often represent stronger support/resistance levels.
Band Thickness: Adjust the band thickness based on your trading style - thinner bands for precise entries, thicker bands for broader areas.
Offset Settings: Increase offsets in volatile markets, decrease in ranging markets.
Transparency Management: When analyzing multiple timeframes, use higher transparency for less important timeframes to reduce visual clutter.
The indicator is particularly useful for swing traders and position traders who need to understand how current price action relates to historical range boundaries across different time horizons.
Planetary Retrograde Periods█ PLANETARY RETROGRADE PERIODS
Visualize when planets appear to move backward through the zodiac. This indicator detects and displays retrograde motion for all 8 planets that exhibit apparent retrograde motion from Earth's perspective: Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto.
Powered by the BlueprintResearch lib_ephemeris library.
█ FEATURES
• 8 Planets Supported — Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto
• Two-Phase Visualization — Distinguishes first half (speed increasing in retrograde direction) from second half (speed decreasing toward direct motion) with different transparency levels
• Future Projections — Projects upcoming retrograde periods up to 500 bars ahead on any timeframe
• Station Markers — Clear labels for Station Retrograde (℞), Midpoint (½), and Station Direct (D)
• Timezone-Aware Labels — Future date/time labels display in your selected timezone
• Alert Conditions — Set alerts for station retrograde, station direct, or any station point
• Per-Planet Colors — Customize colors for each planet individually
• Speed-Based Detection — More accurate than longitude-based methods
█ HOW TO USE
1. Select a Planet — Choose which planet to track from the dropdown (Mercury through Pluto)
2. Enable Two-Phase Display — Toggle "Show Retrograde Halves" to see first half vs. second half shading
3. Configure Future Projections — Set how many bars ahead to scan (1-500) and enable/disable date labels
4. Set Your Timezone — Choose your timezone for accurate future date/time display
5. Customize Colors — Adjust planet colors, transparency levels, and label text color to match your chart theme
6. Create Alerts — Use TradingView's alert system with the built-in conditions for station points
█ UNDERSTANDING THE DISPLAY
Background Colors:
• First Half of the Planet’s retrograde (lighter shade)
• Second Half of the Planet’s retrograde period (darker shade)
Future Projection Lines:
• ℞ (Station Retrograde) — Yellow dotted line marking when the planet will station retrograde
• ½ (Midpoint) — Shorter line in planet color marking the halfway point of the retrograde period
• D (Station Direct) — Green dotted line marking when the planet will station direct
Labels:
• Top label shows planet symbol and station type
• Bottom label shows projected date and time (optional)
█ ACCURACY
This indicator uses speed-based detection
Timing Accuracy:
• All planets (Mercury through Pluto): Within hours to ±1 day
• Future projections maintain accuracy up to 500 bars on any timeframe
• Spot tested on Daily and Weekly charts with excellent results
For Critical Applications:
Cross-reference with professional ephemeris tools such as JPL Horizons or Swiss Ephemeris for mission-critical timing.
█ TECHNICAL DETAILS
Theory: VSOP87 (Mercury through Neptune), Meeus algorithms (Pluto)
█ REFERENCES
• Meeus, Jean. "Astronomical Algorithms" (2nd Edition, 1998)
• Bretagnon & Francou. "VSOP87 Solutions" — Astronomy and Astrophysics 202 (1988)
Stochastic Extreme Oscillator [MatrixQuantLabs]Stochastic Extreme Oscillator is an enhanced stochastic-based oscillator designed to highlight market extremes, momentum shifts, and potential reversal zones with improved visual clarity and signal filtering.
This indicator builds upon the classic Stochastic Oscillator by focusing on extreme zone behavior, peak & trough signals, and optional divergence detection, making it suitable for both discretionary and systematic traders.
Key Features
Extreme Zone Visualization
• Multi-level overbought (80–100) and oversold (0–20) zones with adaptive color intensity help assess the strength and risk level of market extremes at a glance.
Momentum-Aware Coloring
• The %D line dynamically changes color based on its position relative to the zero line, providing an intuitive view of bullish, neutral, and bearish momentum states.
Peak & Trough Signals
• Optional bullish and bearish signals are triggered only when %K / %D cross occurs inside extreme zones, helping filter out low-quality signals in mid-range conditions.
Regular Divergence Detection
• Built-in bullish and bearish divergence detection based on pivot structure, allowing early identification of potential trend reversals.
Clean & Focused Design
• The indicator emphasizes the %D line as the primary signal source, while %K is used internally for logic, keeping the chart uncluttered and easy to read.
Customization
• Adjustable %K / %D lengths and smoothing
• Toggle peak & trough signals on/off
• Optional divergence detection with configurable pivot sensitivity
• Designed to work across different markets and timeframes
Usage Notes
• Best used as a momentum and extreme-condition oscillator, not as a standalone trading system
• Signals are most effective when combined with trend context, price structure, or higher-timeframe analysis
• Divergence signals may appear with delay due to pivot confirmation logic
Disclaimer
This indicator is intended for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm signals with additional analysis.
Smart Money Concept, Modern ViewSmart Money Concept, Modern View (SMCMV)
Institutional Volume Flow Analysis with VWMA Matrix
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📌 OVERVIEW
SMCMV is an advanced institutional-grade indicator that combines Volume-Weighted Moving Average (VWMA) matrix analysis with sophisticated volume decomposition to detect buyer and seller entry points. The indicator provides a comprehensive real-time dashboard displaying market structure, volume dynamics, and validated trading signals.
Key Features:
• Dual Volume Model: Geometry-based (candle range split) and Intrabar (precise LTF data)
• 10-Period VWMA Spectrum: Multi-timeframe support/resistance matrix (7, 13, 19, 23, 31, 41, 47, 67, 83, 97)
• 5-Layer Scoring System: 100-point institutional-grade signal quality assessment
• State Machine Signal Engine: Validated entry/exit signals with timer and range confirmation
• Real-time Prediction Engine: Candle-by-candle buyer/seller probability estimation
• High Volume Node Detection: Automatic identification of significant volume zones
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📊 DASHBOARD REFERENCE
1) NOW VECTOR (Current Market State)
This section captures the immediate market conditions:
• FLOW ANGLE: Directional angle of price movement in degrees (from VWMA-5). Positive = bullish, Negative = bearish.
• LTP: Last Traded Price - current close price.
• NET FLOW (Δ): Volume Delta - net difference between buying and selling volume. Shows ⚡+ or ⚡-.
• LIQUIDITY: Total volume on the current bar (K/M format).
• BUY VOL: Estimated buying volume based on selected model.
• SELL VOL: Estimated selling volume.
• BID PRES.: Buying volume as percentage of total volume.
• ASK PRES.: Selling volume as percentage of total volume.
• DIRECTION: Current state with hysteresis: BULL (🐂), BEAR (🐻), or NEUT (⚪).
2) DATA QUALITY / CONFIG
Configuration status and data integrity monitoring:
• VOL MODEL: INTRABAR (uses LTF data) or GEOMETRY (estimates from candle structure).
• IB LTF: Intrabar Lower Timeframe for precise volume decomposition.
• MODE: Micro (7 periods: 7-47) or Macro (10 periods: 7-97).
• IB OK: Intrabar data validity - OK or NO.
• IB STREAK: Consecutive bars with valid intrabar data.
• LATENCY: Data freshness indicator. ✓ = current, ↺ = using historical reference.
3) STRUCTURE RADAR
Market structure analysis showing price position relative to VWMA matrix:
• WIRES ▲/▼: Count of VWMAs above (resistance) and below (support).
• RES: Nearest Resistance - shows MA period, "ZN RES", or "BLUE SKY".
• SUPP: Nearest Support - shows MA period, "ZN SUPP", or "FREE FALL".
4) ACTIVE INTERACTION
Real-time analysis of price interaction with key levels:
• Header Status: "⚠ TESTING SUPPLY (ASK SIDE)" / "⚠ TESTING DEMAND (BID SIDE)" / "--- NO KEY INTERACTION ---"
• TARGET: Active level being tested (MA period or zone type).
• TEST LEVEL: Exact price level being tested.
• SCORE: Total score (0-100%) with letter grade .
• VOLUME POWER: Volume ratio vs historical average (e.g., "2.5x").
• BREAKOUT: "CONFIRMED" if attacking volume exceeds defending, "REJECTED" otherwise.
• DELTA DIR: "ALIGNED" if delta matches accumulation trend, "CONFLICT" if opposing.
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🎯 5-LAYER SCORING SYSTEM (100 Points Total)
Layer 1: Volume Quality (Max 25 pts)
• Mass (0-10): Volume ratio vs average. 0.5x=0, 1.0x=5, 2.0x=8, 3.0x+=10
• Spike (0-8): Volume Z-Score intensity
• Trend (0-7): Volume trend alignment with price direction
Layer 2: Battle Structure (Max 25 pts)
• Break (0-10): Breakout intensity ratio (attacker vs defender)
• Dom (0-8): Internal dominance ratio
• Pres (0-7): Pressure imbalance percentage
Layer 3: Flow & Energy (Max 20 pts)
• Delta (0-8): Delta alignment with accumulation trend
• Accel (0-6): Delta acceleration
• Mom (0-6): Flow momentum
Layer 4: Geometry (Max 15 pts)
• Impact (0-7): Impact angle directness
• Vec (0-5): Vector alignment
• PriceZ (0-3): Price Z-Score position
Layer 5: Army Structure (Max 15 pts)
• Stack (0-5): MA stack depth
• Conf (0-5): Confluence percentage
• Trend (0-5): Trend alignment count (7>13, 13>23, 23>97)
Grade Scale:
• A+ = 90-100 pts (Exceptional)
• A = 80-89 pts (Strong)
• B+ = 70-79 pts (Good)
• B = 60-69 pts (Moderate)
• C+ = 50-59 pts (Below average)
• C/D/F = Below 50 pts (Weak)
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5) SIGNAL STATUS PANEL
Real-time signal state machine status:
• Header: "🐂 BUYERS ACTIVE" / "🐻 SELLERS ACTIVE" / "⏳ VALIDATING..." / "⏸ RANGE / FLAT"
• LOCK PRICE: Price at which signal was locked/confirmed.
• RANGE ±: Validation range percentage.
• POSITION: Price vs lock: "▲ ABOVE" / "▼ BELOW" / "● AT LOCK"
• DISTANCE: Percentage distance from lock price.
• vs RANGE: Position vs validation range: "IN_RANGE" / "ABOVE" / "BELOW"
• VAL TICKS: Validation progress (current/required ticks).
6) REALTIME PREDICTION PANEL
Candle prediction engine:
• WINNER: Predicted dominant side: "BUYERS" / "SELLERS" / "NEUTRAL"
• CONFIDENCE: Prediction confidence percentage.
• ACCURACY: Historical prediction accuracy (session-specific).
• BUY/SELL PROB: Individual probabilities for each side.
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🏷️ SIGNAL LABELS REFERENCE
• 🐂 BUYER ENTRY (Green): Confirmed buyer entry signal. Validation complete.
• 🐻 SELLER ENTRY (Red): Confirmed seller entry signal. Validation complete.
• 🔻 REVERSAL BUY→SELL (Magenta): Reversal from buyer to seller position.
• 🔺 REVERSAL SELL→BUY (Cyan): Reversal from seller to buyer position.
• ⏹ EXIT → FLAT (Gray): Position exit to flat/neutral state.
• ⬆ BUYER STRONGER (Small Green): Lock price updated higher during buyer state.
• ⬇ SELLER STRONGER (Small Red): Lock price updated lower during seller state.
Display Modes:
• Minimal: Icon only (hover for tooltip details)
• Normal: Icon + Price level
• Detailed: Full information (price, score, grade)
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📈 CHART ELEMENTS
VWMA Spectrum Lines
Colored gradient lines representing the 10-period VWMA matrix. Color progresses from light blue (fast: 7-period) through purple to orange (slow: 97-period). These act as dynamic support/resistance levels weighted by volume.
High Volume Node Lines
• Blue Lines: High Buy Volume zones - potential demand areas
• Red Lines: High Sell Volume zones - potential supply areas
• Yellow Lines: Overlapping zones (buy + sell extremes) - high conflict areas
Lock Price Line & Range Band
• Dashed Line: Locked price level (green for buyers, red for sellers)
• Dotted Lines: Upper/lower bounds of validation range
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⚙️ INPUT SETTINGS GUIDE
Volume Model
• Calculation Method: "Geometry (Candle-Range Split)" for universal compatibility or "Intrabar (Precise)" for accurate buy/sell separation.
• Intrabar LTF: Lower timeframe for Intrabar mode (e.g., "1" for 1-minute).
Direction Filter
• Direction Trigger Angle: Threshold for directional state change (default: 1.5°)
• Neutral Reset Angle: Threshold for returning to neutral (default: 0.7°)
Testing Filter
• Level Proximity (%): How close price must be to "test" a level (default: 0.25%)
• Require Wick Touch: If enabled, requires high/low to touch proximity band.
Signal Validation
• Lock Range (%): Price range for validation (default: 0.5%)
• Validation Ticks: Consecutive bars required (default: 3)
• Validation Time: Minimum seconds for real-time confirmation (default: 5)
• Minimum Hold Bars: Stay in position for at least this many bars (default: 5)
• Exit Mode: "Reversal Only" / "Signal Loss" / "Price Stop"
• Stop Loss (%): Exit threshold (default: 1.0%)
Signal Score Filter
• Score Range Minimum: Minimum score for signal generation (default: 10%)
• Score Range Maximum: Maximum score threshold (default: 100%)
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💡 USAGE RECOMMENDATIONS
1. Start with Macro mode to see the complete VWMA spectrum, then switch to Micro for cleaner charts.
2. Use Intrabar mode when your broker provides lower timeframe data.
3. Focus on high-grade signals (B+ or better) for higher probability setups.
4. Wait for validation to complete before acting on signals.
5. Use the Lock Price line as your reference for position management.
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⚠️ IMPORTANT NOTES
• This indicator is designed for educational and analytical purposes.
• Always combine with proper risk management and additional confirmation.
• Past performance and signal quality do not guarantee future results.
• The prediction accuracy is session-specific and resets on chart reload.
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Volume-Based Indicator — Data Granularity & Table Guide
1) Critical warning about data granularity (read first)
Important: This indicator is built entirely on volume-derived calculations (volume, volume delta, and related flow metrics). Because of that, its precision is only as good as the granularity and history of the data you feed it.
The most granular view is a tick-based interval (e.g., 1T = one trade/tick). If tick-based intervals are not available for your symbol or your plan, the closest time-based approximation is a 1-second chart (1S).
If you enable any "high-precision / intrabar" options (anything that relies on the smallest updates), make sure you understand which TradingView plan you are using, because intrabar historical depth (how many bars you can load) varies by plan. More history generally means more stable baselines for volume statistics, regime detection, and long lookback features.
Plan-related notes (TradingView)
TradingView limits how many intrabar historical bars can be loaded, depending on your plan. The exact limits are defined by TradingView and can change over time, but as of the current documentation, the intrabar limits are:
• Basic: 5,000 bars
• Essential: 10,000 bars
• Plus: 10,000 bars
• Premium: 20,000 bars
• Expert: 25,000 bars
• Ultimate: 40,000 bars
Tick charts / tick-based intervals are currently positioned as a feature of professional-tier plans (e.g., Expert/Elite/Ultimate). Availability may also vary by symbol and data feed.
SRM Version EMA Buy/Sell V3The Smart Reversal Matrix indicator is designed to identify high-probability market reversal zones by combining Price Action, Momentum Filters (MACD & RSI), and the Price pattern structure.
This tool helps traders visualize potential Buy (bullish) and Sell (bearish) turning points with dynamic market structure mapping.
It’s suitable for scalpers, swing traders, and day traders who want a clear visual confirmation of reversals in trend direction.
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always confirm signals with your own strategy and risk management rules before trading live markets.
🔍 How to Use It
1️⃣ Check Market Trend
Above EMA 20 → bullish bias
Below EMA 20 → bearish bias
2️⃣ Wait for Reversal Signal
BUY signal = bullish swing reversal
SELL signal = bearish swing reversal
3️⃣ Confirm Candle Strength (Optional)
Bar “1” or “2” after signal often gives earliest entry
Bar “3-5” useful for pullback entries
4️⃣ Plan Trade Levels
Use swing high/low for stop placement
Optionally project lines +500 pips / −500 pips for targets (Forex)
Institutional Cycle Intelligence System (Machine Learning) The Institutional Cycle Intelligence System (Machine Learning) represents a paradigmatic shift in the capabilities of retail trading analysis, bridging the substantial divide between standard technical analysis and the rigorous, mathematically intensive domain of quantitative finance. At its core, this system is not merely an indicator but a sophisticated ensemble engine that synthesizes advanced Digital Signal Processing (DSP), spectral analysis, and modern Machine Learning techniques into a singular, cohesive market view. For quantitative analysts and institutional traders, this script serves as a testament to the power of "higher mathematics" applied to the chaotic, non-stationary nature of financial time series data. It moves beyond the lagging nature of time-domain indicators—like moving averages or the RSI—and operates primarily in the frequency domain, attempting to deconstruct price action into its constituent oscillatory components. This approach acknowledges a fundamental truth of market mechanics: that price is a composite signal, a noisy waveform comprised of underlying trends, cyclical harmonics, and stochastic noise. By isolating these components, the system offers a look into the "heartbeat" of market liquidity and institutional accumulation-distribution cycles.
The defining characteristic that elevates this system to an institutional grade is its refusal to rely on a single mathematical model. Financial markets are dynamic systems; they shift between trending, mean-reverting, and chaotic regimes. A model that excels in a clean sine-wave market, like a standard cycle, will fail primarily during strong trends or high-volatility shocks. To solve this, the system employs an "Ensemble Architecture," running seven distinct, high-level mathematical models simultaneously. It creates a "committee of experts," where each algorithm analyzes the market through a different mathematical lens—some statistical, some spectral, and some decompositional. However, the true innovation lies in the integration of a Gradient Boosting Machine (GBM). This is where the concept becomes a game-changer for Pine Script development. The system does not merely average these models; it employs a machine learning layer that dynamically optimizes the weight of each model based on its recent predictive performance. It "learns" which mathematical approach is currently syncing best with the market's behavior and amplifies that signal while dampening the others. This is an application of adaptive filtering and optimization theory that is rarely seen outside of proprietary high-frequency trading desks.
To understand the gravity of the mathematics involved, one must examine the specific algorithms employed, starting with the Ehlers Bandpass Filter and Hilbert Transform. This component is rooted in electrical engineering and signal processing. The Bandpass filter is designed to reject frequencies outside a specific range, effectively stripping away the high-frequency noise (tick-by-tick randomness) and low-frequency trends (macro-economic drift) to isolate the "tradable" cycle. Once isolated, the script applies the Hilbert Transform, a linear operator that produces the analytic representation of the signal. By converting the real-valued price series into the complex plane (creating real and imaginary components), the system can mathematically calculate the instantaneous phase and amplitude of the cycle. This allows for the precise determination of market turning points without the lag associated with traditional smoothing, effectively solving the "phase delay" problem that plagues standard oscillators.
Complementing the classic DSP approach is the MESA (Maximum Entropy Spectral Analysis) model. Standard Fourier analysis assumes that data outside the observation window repeats or is zero, which creates "spectral leakage" and inaccuracies when analyzing short data bursts typical of trading. MESA, however, is based on information theory. It constructs a model that maximizes the entropy (randomness) of the unobserved data, thereby making the fewest assumptions possible about what the market did before or after the sample size. This results in a high-resolution estimation of cycle periods even with limited data points. It is a highly mathematical approach to autoregressive modeling, allowing the system to detect shifting cycle lengths rapidly as market volatility expands or contracts.
The system also integrates the Goertzel Algorithm, a method optimized for detecting specific frequency components within a signal. While a Fast Fourier Transform (FFT) scans the entire frequency spectrum, the Goertzel algorithm acts as a matched filter, surgically interrogating the price data for the presence of specific, pre-defined cycle periods (Short, Medium, and Long). It computes the energy or "power" at these specific frequencies. For a quant, this is akin to tuning a radio receiver to listen specifically for the presence of institutional order flow frequencies. If the "power" at the 20-bar cycle is high, the Goertzel component signals that this specific harmonic is currently driving price action. This selective frequency analysis is computationally efficient and provides a direct measurement of cycle strength, distinguishing between a genuine cycle and random market drift.
Moving into the realm of non-linear and non-stationary analysis, the system employs Empirical Mode Decomposition (EMD). Developed for analyzing data that is neither linear nor stationary—a perfect description of financial markets—EMD does not assume a fixed basis like sine waves. Instead, it uses a recursive "sifting" process to decompose the price into a finite number of Intrinsic Mode Functions (IMFs). The algorithm identifies local maxima and minima, creates upper and lower envelopes using cubic splines, and subtracts the mean of these envelopes from the data. This process is repeated until true oscillatory modes are extracted. EMD is often referred to as the "Hilbert-Huang Transform" in academic literature and is considered one of the most powerful tools for analyzing natural phenomena. By using EMD, the system can adapt to asymmetric cycles (where the rally is fast and the drop is slow) that linear models like the Fourier transform would misinterpret.
The inclusion of Singular Spectrum Analysis (SSA) further deepens the mathematical rigor. SSA is a nonparametric spectral estimation method that combines elements of classical time series analysis, multivariate geometry, and signal processing. Conceptually, it involves embedding the time series into a vector space to form a "trajectory matrix" and then performing a decomposition (similar to Principal Component Analysis or SVD) to separate the series into independent components representing trend, oscillatory signals, and noise. While Pine Script limits the full matrix algebra required for complete SVD, the implementation here utilizes heuristic approximations to achieve the decompositional effect. This allows the system to filter out noise "subspaces," reconstructing a signal that retains the structural integrity of the market movement while discarding the stochastic "fuzz" that leads to false signals.
Wavelet Analysis is utilized to address the "Heisenberg Uncertainty Principle" of signal processing, which states one cannot know the precise frequency and precise time of an event simultaneously. While Fourier analysis loses time resolution to gain frequency resolution, Wavelets use "short" basis functions for high frequencies and "long" basis functions for low frequencies. This Multi-Resolution Analysis (MRA) allows the system to see the forest and the trees simultaneously. It decomposes price energy across different scales, identifying whether volatility is driven by short-term microstructure noise or long-term structural shifts. The calculation of "Wavelet Energy" within the script provides a distinct metric of market state, often preceding explosive moves when energy clusters across multiple timescales.
Finally, the statistical backbone is provided by Autocorrelation. This is the mathematical study of self-similarity. It calculates the correlation of the price series with a lagged version of itself. By scanning through various lags (periods), the algorithm identifies the time shift that produces the highest correlation coefficient. If price correlates highly with itself from 20 bars ago, it confirms a 20-bar cycle memory in the market. This is a purely statistical validation method that serves as a "sanity check" for the more complex spectral models, ensuring that the detected cycles are statistically significant and not artifacts of curve fitting.
The culmination of these seven mathematical titans is the Gradient Boosting Machine (GBM) optimization layer. In the context of Pine Script, this is a revolutionary concept. Traditional indicators have static parameters; they calculate the same way in a crash as they do in a bull run. This system, however, utilizes a simplified machine learning loop. It calculates the "loss" or error of each of the seven models relative to recent price returns. Using a gradient descent-inspired approach, it updates a weight vector, assigning higher influence to models that have been predictive in the recent lookback window and penalizing those that have failed. If the market enters a choppy period where trends vanish, the EMD and Wavelet models (which handle noise well) might gain dominance, while the Trend-following components are suppressed. If the market enters a clean harmonic swing, the Ehlers and Goertzel models will take the lead. This dynamic adaptation makes the system "alive," capable of morphing its internal logic to match the current market regime.
For the quantitative analyst, this system offers a robust framework for algorithmic strategy development. It provides "feature engineering" out of the box—transforming raw price data into normalized, de-trended, and phase-aligned oscillators. The composite signal is not just a line on a chart; it is a probability-weighted vector of market state. The "Zero-Lag" nature of the phase calculations allows for entry and exit precision that moving averages mathematically cannot provide. Furthermore, the decomposition of market movements into Short, Medium, and Long cycles allows for fractal analysis—identifying moments of "Constructive Interference" where all three cycles align in phase, creating high-probability, high-velocity trade setups often associated with institutional order execution.
In conclusion, the Institutional Cycle Intelligence System (Machine Learning) is a tour de force of applied mathematics and computational finance. It transcends the limitations of standard technical analysis by treating the market not as a visual pattern, but as a complex signal processing problem. By leveraging the orthogonality of different mathematical approaches—spectral, statistical, and decompositional—and fusing them through an adaptive machine learning mechanism, it offers a level of insight typically reserved for hedge funds with dedicated quant teams. It demonstrates that Pine Script is no longer just a scripting language for drawing lines, but a viable environment for implementing complex, adaptive, and mathematically rigorous trading systems. It is a tool for those who understand that in the financial markets, the edge lies not in predicting the future, but in deeply understanding the mathematical structure of the present.
Wick Connection Alerts (12M/6M/3M/1M)If you want touch/overlap, pick: Any Range Overlap (High-Low)
If you want wick-to-wick specifically, pick: Wick-to-Wick Zones (now with fewer false signals)
Touch/Overlap Alert (12M/6M/3M/1M)Wick or price action connection...This indicator is to alert you when price action connects for an entry.
Forward Money Index x Financial Liquidity Proxy Skylark Digital Assets Forward Money Index x Financial Liquidity Proxy is a two-layer liquidity dashboard designed to show broad, slow-moving liquidity conditions alongside a smoothed forward-conditions signal that can be shifted ahead in time for visual comparison.
At its core, the chart has three roles:
Baseline Liquidity Regime (FLP – Monthly, Confirmed)
The primary line represents a consolidated view of monthly liquidity conditions across a diversified set of markets. It’s constructed to behave like a regime gauge—rising during periods where financial conditions are broadly improving and falling during periods where conditions are tightening. Because it uses confirmed monthly values, it avoids the “mid-month repaint” effect and is intended to be interpreted as a stable, end-of-month state.
Trend Filter / Regime Smoother (FLP EMA)
The FLP EMA is a slower companion line that reduces month-to-month noise and helps define whether liquidity is structurally expanding or contracting. In practice, this line is the “signal stabilizer”: it makes longer-cycle transitions clearer, reduces overreaction to single-month spikes, and helps you distinguish between temporary wobble vs true regime shift.
Forward Conditions Overlay (Forward Money Index – Displayed as EMA3 & EMA6 only)
The forward overlay is intentionally not shown in its raw form. Instead, it is used internally and then displayed only through two smooth versions:
a short smoothing (3-month EMA), labeled as the “Forward Money Index (FMI)” in the settings, and
a medium smoothing (6-month EMA), shown as a dotted companion line.
This creates a clean “fast vs slow” forward-conditions pair. The short version reacts sooner and highlights turning points earlier; the longer version confirms whether the shift is persistent. When both are rising together, it suggests strengthening conditions; when the shorter line rolls over and converges down toward the longer line, it indicates that the impulse is fading even if conditions remain elevated.
Lead / Offset behavior (visual forecasting lens)
The FMI pair can be shifted forward by a chosen number of months, allowing you to compare whether shifts in forward conditions tend to precede changes in the broader liquidity proxy. This is not presented as a deterministic forecast; it’s a visual tool to examine phase relationships across cycles. Different environments can compress or expand lead times, so the offset is best treated as a “lens” rather than a fixed law.
Midline reference
A 50 midline provides a neutral reference level so both the proxy and the forward overlay can be interpreted in simple regime terms: above the midline generally corresponds to more favorable conditions, while below corresponds to tighter or weaker conditions.
Why the smoothing matters
By plotting only the 3M and 6M EMA versions of the forward signal, the indicator avoids overemphasizing short-term noise and instead focuses on structural turns—the part of the signal that tends to matter most for multi-month regime interpretation. This makes it useful for:
identifying early inflections that may precede broader liquidity shifts,
confirming whether changes are impulsive (fast line leading) or durable (both lines aligned), and
tracking the decay of an impulse when the fast line begins to fade toward the slow line.
Overall, the chart is meant to function as a monthly macro dashboard: FLP shows where broad liquidity conditions are now, FLP EMA shows the underlying trend regime, and the FMI EMA pair provides a smoothed forward-conditions overlay to help evaluate whether the next regime transition may already be forming.
AlgoIndex - Levels & Setup PlannerIntroducing a manual trading planner designed to streamline your trading strategy. The tool allows you to identify up to 12 key levels - both lines and zones highlight a critical level, and construct a comprehensive trade setup, including entry, stop, target, and risk/reward metrics, tailored to your selected trading session. It also features optional JSON alerts for significant level events and trade setups.
Full Description
The AlgoIndex - Levels and Setup Planner is an innovative manual planning indicator that enables traders to systematically organize their key price levels and formulate a complete trading idea prior to executing trades.
This script is released as a Protected (closed-source) tool: while it is accessible to all users, the underlying source code remains confidential.
Key Features:
1. Levels Mapping (Planner):
- Offers 6 Resistance levels (R1-R6) and 6 Support levels (S1-S6).
- Each level can represent either a specific price point (line) or a broader price zone (high/low).
- Inverted zone inputs are automatically adjusted for consistency.
- Includes an optional Critical level, which can be customized with unique styling and alerts.
2. Trading Setup Builder:
- Establish the trade Direction (Long or Short).
- Define Entry points as either a precise level or an entry zone.
- Specify Stop and Target areas.
- Visualize risk/reward (R:R) metrics using the symbol’s point value.
- The layout features clear entry, stop, and target lines, as well as a designated trade box.
3. Session Planning:
- Select from various trading sessions: New York AM, New York PM, London, Asia, or a Customized time window.
- The trade plan gets visually represented within the designated session window in Eastern Time.
4. Alerts (Optional):
- Informational Alerts: These triggers notify users of level touch or break events for support/resistance and critical levels; they do not execute trades.
- Trade-Entry Alerts (Webhook-Ready JSON): Leveraging built-in entry logic, these alerts function in two distinct modes:
- INSTANT Mode (No Confirmation): This mode activates at the close of a bar that breaches the entry level (indicating a breakout) or surpasses the zone boundary (signaling a zone exit) in the intended trade direction.
- CONFIRMATION Mode: In this scenario, the script will await the completion of predetermined confirmation logic before sending the entry alert.
- Breakout Strategy: This involves a breakout past the entry level, followed by a retest and stabilization in the trade's favor.
- Zone Strategy: This focuses on a rejection at the entry zone, followed by a continuation in the desired trade direction.
To utilize webhooks, set a TradingView alert on this script with the condition “Any alert() function call” and input your designated webhook URL.
Important Notes:
This tool serves as a comprehensive planning and alerting device, yet it does not ensure trading success. Traders are advised to validate levels, manage their risk effectively, and test alerts on their preferred timeframes before relying exclusively on automated systems.
Opening Range BoxOPENING RANGE BOX + LEVELS (RTH)
OVERVIEW
This indicator draws the Opening Range for the U.S. Regular Trading Hours session starting at 9:30 AM New York time. It plots the Opening Range High, Low, and Midpoint, and can extend those levels for the rest of the session. It also displays the Opening Range size in points and ticks.
WHAT IT DRAWS
• Opening Range box for the first N minutes of RTH (ex: 5, 10, 15)
• OR High (ORH)
• OR Low (ORL)
• OR Midline (midpoint of ORH/ORL)
• Opening Range value label (range in points + ticks)
KEY FEATURES
• Time-anchored drawings (bar_time) so levels stay accurate on any intraday timeframe
• Configurable Opening Range length in minutes
• Configurable box fill/border colors
• Independent styling for OR High / OR Low / Midline (color, width, line style)
• Line extension modes:
Line extension modes
- To RTH Close
- Right Forever
- For N Minutes
- None
Optional label placement to the LEFT of the Opening Range so it doesn’t block new candles
Option to keep previous sessions’ Opening Ranges visible for context
BEST FOR
• Futures: ES / NQ / MNQ (and other RTH-based products)
• Intraday stocks and ETFs
• OR breakout, rejection/fade, and mean reversion workflows
NOTES
• Intended for intraday charts
• Opening Range is calculated strictly inside the selected time window (no extra bars)
• Session is America/New_York, 09:30–16:00
Multi-Asset Cycles with SMTMulti-Asset Cycles SMT Indicator v6.1
Detects Smart Money Technique (SMT) divergences across three correlated assets (default: NQ, ES, YM) during intraday cycles.
Features:
Cycle Types: Quarters (90min), Sessions (Asia/London/NY AM/NY PM), Daily, Weekly
SMT Detection: Tracks High, Low, and Close divergences between assets
Customizable Display: Choose which SMT types to show (Bearish High/HC, Bullish Low/LC)
Multi-Cycle Analysis: Compare current cycle against up to 3 past cycles
Auto-Detection: Automatically shows lines only for the current asset chart
Smart Alerts: Individual alert controls for each SMT type
Clean Visualization: Maximum 2 lines per cycle with labeled comparisons
How It Works:
The indicator tracks extremes across cycles and detects when assets diverge (one makes higher high while another makes lower high = bearish SMT). Lines connect the extreme points with labels showing which cycles are being compared.
Settings:
Select cycle type and assets to track
Enable/disable specific SMT types
Choose how many past cycles to check for divergences
Customize line colors, widths, and styles
Configure alerts per SMT type
Perfect for ICT traders tracking smart money divergences across index futures.
ICT Finatic: Session Ranges & Macro Alerts (Cristian)This indicator is designed to assist ICT traders by automating the visualization of key session ranges and time-based macro events. It focuses on the Asia and London sessions and provides timely alerts for specific macro times.
Features:
Dynamic Session Ranges (Asia & London):
Instead of simple High/Low of the session, this script identifies Swing Highs and Swing Lows based on a 3-candle fractal pattern (High/Low of the central candle is higher/lower than its neighbors).
It calculates these swings using 15-minute timeframe data (via request.security), ensuring stability regardless of the chart timeframe used.
The lines extend dynamically and update only when a new, more significant swing is formed during the session.
Macro Time Vertical Lines:
The script monitors specific NY-time macros (09:45, 10:15, 10:45, 11:15, 11:45, 12:15).
Pre-warning System: 5 minutes before a macro time occurs (e.g., at 09:40 for the 09:45 macro), a temporary vertical line appears on the future time slot.
Auto-Cleanup: Once the macro time is reached, the vertical line is automatically removed to keep the chart clean. This feature is active on timeframes lower than 1 hour.
Bias Table:
Includes a customizable dashboard to manually input and visualize your directional bias for multiple timeframes (Daily to 5m).
How to use:
Add the indicator to your chart (works best on M1 or M5 timeframes).
Adjust the session times in the settings if needed (Default is NY time).
Use the dashboard to track your daily bias.
Watch for the orange vertical lines appearing 5 minutes before macro events to prepare for potential volatility.
Z-PointThe Z Point indicator is a clean and effective tool for tracking key intraday price levels. It focuses on the high and low of a specific target candle to provide daily reference points, helping traders gauge market sentiment and identify potential support and resistance zones.
How It Works:
Previous Day's Range (Gray Box): At the start of a new trading session, the indicator automatically identifies the high/low range of the target candle from the previous day. This range is then projected onto the current day as a gray box, visually highlighting a key area of interest that may act as support or resistance.
Current Day's Levels (Horizontal Lines): Once the target candle for the current day has formed, the gray box is automatically removed. The indicator then plots two new horizontal lines: a green line for that candle's high and a red line for its low. These lines serve as the primary reference levels for the remainder of the day.
Key Features:
Dynamic Reference: Automatically shifts focus from the previous day's range to the current day's levels.
Clean Visuals: Uses a simple box and line system that doesn't clutter the chart.
Intraday Analysis: Perfect for day traders looking to capitalize on reactions to key daily levels.
This indicator is best used on lower timeframes, such as the 5-minute chart.
Projected Astro Map for $SPX - 2026This indicator projects the astrological turn dates for SP:SPX (S&P 500) for the year 2026.
Planetary influence of the market is a less known fact and not much research has gone into that subject. I have done extensive analysis on this subject for the past 20 years and this indicator is a result of that research.
This indicator projects the turns for the entire year of 2026. The projected curve in Blue indicates potential turns in $SPX. Projected curve for 2025 has been added for you to verify. 2025 Projection was posted on my X feed (@traderastro) at the beginning of Year 2025 itself. You can see for how tightly the actual price action has followed the projected curve of Year 2025. Once we know the turns in the market ahead of time, we can position our trades accordingly. This can serve as a road map so that you can avoid the potholes in the market as you navigate through Year 2026
This indicator is for purchase only. Please contact SKumar@finastrotrader.com (+1-510-363-5055) if you are interested
You can check out my website for more information about how the Planets influence the market. My website is finastrotrader.com
finastrotrader.com
X : x.com/TraderAstro
FB : facebook.com/finastrotrader
IG : instagram.com/finastrotrader
TWIX TRAP V2 - Ultimate Signal Engine# TWIX TRAP V2 - Ultimate Signal Engine
## 🎯 Professional Multi-Layer Trading System
TWIX TRAP V2 is a sophisticated trading signal system that combines **liquidity analysis**, **exhaustion detection**, and **momentum triggers** to identify high-probability trade setups.
---
## 🔥 How It Works
The indicator uses a **4-step confirmation process** before generating any signal:
**Step 1: Liquidity Purge Detection**
Monitors key price levels (Daily, Weekly, Monthly highs/lows) and detects when smart money hunts stop losses.
**Step 2: Exhaustion Analysis (Heavy Matrix)**
Uses weighted Z-score calculations to identify when the market is overextended and due for a reversal.
**Step 3: Ready State Confirmation**
Only when BOTH liquidity purge AND exhaustion align does the system enter a "ready" state.
**Step 4: Precision Trigger (Light Matrix)**
Times the exact entry when momentum begins reversing, ensuring optimal entry points.
---
## ⚡ Key Features
✅ **4 Quality Modes** - From Sniper (1 signal/week) to Scalper (10+ signals/day)
✅ **Multi-Timeframe Liquidity** - Tracks Monthly, Weekly, Daily, 4H, and 1H levels
✅ **Dynamic Zones** - Self-adjusting thresholds based on market conditions
✅ **Signal Strength Rating** - 1-4 rating based on liquidity level significance
✅ **Visual Dashboard** - Real-time status of all system components
✅ **Strong Signal Alerts** - Special markers for high-probability setups
---
## 📊 Signal Quality Options
| Quality Mode | Signals | Best For |
|--------------|---------|----------|
| Sniper (1/week) | ~1/week | Swing trading, major reversals |
| High (1/day) | ~1/day | Day trading (recommended) |
| Medium (3-5/day) | 3-5/day | Active trading |
| Scalper (10+/day) | 10+/day | Scalping, high frequency |
---
## 🎨 Visual Guide
- **X Marker (Green/Red)** - Liquidity purge detected
- **Background Color** - Green = BUY ready, Red = SELL ready
- **Triangle** - Normal signal (strength 1-2)
- **Dot + Label** - STRONG signal (strength 3-4) ⭐
---
## 📈 Works Best On
- Cryptocurrencies (SOL, BTC, ETH)
- Forex pairs
- Indices
- Any liquid market
**Recommended Timeframes:** 15m, 30m, 1H, 4H
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## ⚠️ Risk Disclaimer
This indicator is a trading tool, not financial advice. Always manage your risk properly and never trade with money you cannot afford to lose. Past performance does not guarantee future results.
---
## 🔑 Access
This is an **invite-only** indicator. Contact me for access details.
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**Happy Trading! 🎯**
Multi-Timeframe Trend AnalysisThis indicator is a comprehensive 6-timeframe trend analysis tool designed to provide traders with a bird's-eye view of market direction. By aggregating data across multiple intervals, it helps identify when the broader market sentiment is in alignment, reducing the risk of trading against the primary trend.
Trend Engine Pro (E+X+C)Trend Engine Pro (E+X+C)
Short Description
Trend Engine Pro is an institutional-grade trend system that combines early trend entries (E), smart exits on momentum exhaustion (X), and confirmed reversals (C).
Built with volatility-normalized momentum and state-machine logic, it helps traders enter trends early, manage risk efficiently, and avoid noise across all timeframes.
Key Signals
E (Early Entry): Enter trends when momentum and structure align
X (Exit): Exit on momentum exhaustion before trend breakdown
C (Confirmed): Confirm real trend reversals with persistence
Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice, investment recommendations, or an offer to buy or sell any financial instrument.
Trading involves risk, and past performance is not indicative of future results.
Always test strategies thoroughly and manage risk appropriately.
No repaint.
Works on all timeframes and assets.
NQ 2026 Strategic Levels + Market MemoryTitle: NQ Strategic Levels 2026: Volume Profile & Market Memory
Description: This indicator plots the critical institutional levels for NQ (Nasdaq-100) heading into 2026. It is designed to help traders visualize the "Market Structure" map based on the 2025 yearly volume profile and key historical events.
How it Works: The script projects three dynamic "Zones" and three fixed "Historical Markers" to the right of your chart. It does not clutter the past price action; it focuses on future price discovery.
1. The 2026 Active Zones (Boxes):
🛑 Resistance (Supply Zone): Derived from the "Trapped Buyers" of late 2025. This is where overhead supply is likely to cause profit-taking.
⚖️ The Pivot (Equilibrium): Based on the Q4 2025 High Volume Node (HVN). This is the "Line in the Sand." Above this zone, the weekly bias is Bullish. Below it, the bias shifts to Bearish/Correction.
💰 The Buy Zone (Support): The Yearly Value Area Low (VAL). This represents the strongest institutional support and a high-probability area for "Buy the Dip" programs.
2. The 2025 Market Memory (Dashed Lines):
Triple Witch Liquidity: The December 2025 rejection high.
AI Summer Breakout: The key breakout level from mid-2025 that flipped from resistance to support.
Tariff Scare Floor: The macro bottom established during the volatility of April 2025.
How to Use:
Trend Followers: Watch the Pivot Zone. If price holds above it, target the Resistance Zone.
Mean Reversion Traders: Look for rejections at the Resistance Zone or bounces at the Buy Zone.
Risk Management: Use the Historical Markers as invalidated points or profit targets.
Disclaimer: These levels are based on volume analysis and historical price action. Not financial advice. Trade at your own risk.
~ News @JoechartzLive Economic Calendar by Toodegrees with custom modifications.
The dots get their info straight from what the table shows so you must have it set to "Today" if you want the desired experience.






















