BTCUSD RSI + Fear & GreedA chill rsi + fear n greed indicator draft, may need some touch ups but seems to be a solid concept on paper :)
Forecasting
REVE_d“REVE” is an indicator developed by a team of four people: two Japanese, one American, and one Canadian. We selected around 20 financial and management-related indicators, mainly focusing on fundamentals, and fed historical data of past ten-bagger stocks into AI. The AI was then tasked with discovering combinations and calculation formulas that have a strong correlation with stock price movements.
While predicting stocks ten years ahead is difficult, the core idea of the REVE project is this: by analyzing and verifying the common patterns found in past ten-bagger stocks, we may be able to identify stocks that could experience sharp price increases over a period of several years.
As a result, we discovered an indicator that begins to rise ahead of major stock price surges. Of course, it does not apply to every stock, but its effectiveness becomes clear when tested on past stocks that doubled or tripled in price over the last few years. The name “REVE” was chosen by the Canadian member of the team.
We are currently validating the indicator using both Japanese and U.S. stocks. We plan to release it through Kabu-Ojisan as an indicator for Japanese stocks, which has already been validated first. Since the verification process is still ongoing, the source code will not be made public; however, it will be shared free of charge with acquaintances.
---- How to Use ----
The usage of REVE is extremely simple. Display a stock price chart on a daily timeframe or higher, and show the REVE indicator at the same time.
The REVE chart rises and falls at a relatively slow pace. The score typically changes on a roughly quarterly basis, and the key points are both the number of consecutive score increases and the score level itself.
The conditions are as follows:
1. The score rises consecutively four times
2. The score reaches a predefined threshold
When these two conditions occur simultaneously and a long position is taken, there is a strong expectation—based on statistical verification using historical data—that the stock price will rise significantly several months later and continue to increase over a long period.
Regarding condition (2), when the score reaches 2.0, the probability of a subsequent price increase is quite high, making it a recommended entry point for a long position. However, cases where the score reaches 1.0 are also sufficiently meaningful and can serve as useful entry points. In the indicator, the chart color changes when the REVE score reaches 1.0 or higher, and changes again when it reaches 2.0 or higher, making these levels visually easy to identify. (When the REVE score is lower than 1.0, a rise in the stock price should not be expected.)
Please note that after the REVE score reaches its threshold, once the stock price begins to rise, the REVE score will usually start to decline. If the REVE score continues to rise instead, it may indicate the potential for further opportunities.
Below are several sample validation results using Japanese stocks.
OTE Visualizer by AvenoirOTE Visualizer by Avenoir - Premium Fib-Based Structure Mapping
OTE Visualizer by Avenoir is a clean, modern market-structure indicator designed to automatically detect and visualize Optimal Trade Entry (OTE) zones using true ICT-style fib logic.
It identifies valid bullish and bearish impulse legs based on swing structure, then plots discount and premium retracement zones for high-probability entries.
This tool is built for precision, clarity, and algorithmic consistency.
🔶 Key Features
✔ Automatic OTE Zones (Bullish & Bearish)
Bullish OTE = deep discount zone from the prior swing low → swing high
Bearish OTE = deep premium zone from the prior swing high → swing low
Uses exact retracement levels: 62% – 79%, with optional 70.5% midline
✔ Active vs Old OTE Visualization
The most recent OTE is highlighted
Older OTE zones are automatically:
Faded, or
Completely hidden (optional toggle)
This keeps charts clean while maintaining structure awareness.
✔ Swing Structure Detection
Uses pivot-based swing identification
Tracks swing highs/lows and builds legs only when structure is valid
Optional labels for swing points
✔ Impulse Leg Lines
Draws the actual impulse leg used for OTE generation
Shows exactly which high/low produced the zone
Helps traders understand the logic behind each OTE
✔ BOS (Break of Structure) Detection
Marks BOS↑ when price closes above the previous swing high
Marks BOS↓ when price closes below the previous swing low
Useful confirmation for shift in market direction
✔ ATR-Based Impulse Filtering
Optional filter to ensure OTEs only form on significant moves:
Choose ATR length
Choose minimum impulse size (ATR multiples)
Removes noise and minor swings
Produces cleaner, more reliable OTE zones
✔ Fully Customizable Visuals
Choose any colors
Adjust opacity
Show/hide individual elements
Clean, minimalist aesthetic that blends beautifully into charts
🎯 Ideal For
ICT / Smart Money Concepts traders
Algo/systematic traders
Scalpers to swing traders
Anyone wanting clear structure-based OTE zones
Traders building automated or rule-based trading models
📌 How to Use
Identify trend direction
Wait for a bullish or bearish BOS
Watch for price to retrace into the active OTE zone
Combine with liquidity sweeps, displacement candles, FVGs, or other SMC/ICT techniques
Execute trades in premium/discount areas with strong context
✨ Final Notes
This indicator is built for precision and clarity.
It does not repaint and provides an objective, consistently structured view of OTE zones across any market or timeframe.
For traders who rely on execution models, structural mapping, and disciplined entries, this is your new foundation tool.
Trend Bias Impulse Range Spread Aware TP SLThis indicator combines two simple concepts into one practical trade-planning workflow:
Trend Bias (SMA filter) decides direction only (LONG/SHORT).
Impulse Range (HH–LL over a lookback) decides position sizing logic only (how far TP/SL are placed).
The value is in how these parts work together to produce a complete and readable setup on-chart: Entry + Spread-aware SL + 3 Targets + Zones + TP hit tracking in one tool, so you don’t have to manually draw levels every time bias changes.
Calculations
Trend bias
SMA = sma(close, smaLen)
If close > SMA → LONG, else → SHORT
Impulse range (dynamic sizing unit)
impulseRange = highest(high, lenImpulse) - lowest(low, lenImpulse)
Entry / Setup generation
A new setup is created when:
bias flips (LONG↔SHORT), or
the previous setup is completed (TP3 reached or SL reached).
Entry is the close price on the setup bar. Levels stay fixed until the next setup.
Targets & Stop (range fractions)
TP1 = 0.382 × impulseRange
TP2 = 0.618 × impulseRange
TP3 = 0.786 × impulseRange
SL = levelRatio × impulseRange opposite to trade direction
Spread-aware adjustment (execution realism)
User input spreadPts shifts levels:
LONG: TPs − spread, SL + spread
SHORT: TPs + spread, SL − spread
Chart visuals
Lines: Entry, SL, TP1, TP2, TP3
Zones:
Entry→TP1 (first target block)
TP1→TP3 (profit zone)
Entry→SL (risk zone)
Table (top-right) shows all prices; ✅ appears only when TP levels are reached.
Inputs (UI translation)
Длина импульса = Impulse length (lenImpulse)
Длина SMA = SMA length (smaLen)
SL/TP множитель = SL multiplier (levelRatio)
Spread (пункты) = Spread in points (spreadPts)
Notes / limitations
Indicator only (not a strategy). No order placement. Always test on your symbol/timeframe and use risk management. For publication screenshots, keep symbol, timeframe, and script name visible in the chart header.
Wolf 2.v1 [Trend & Pullback]Wolf 2.v1 — Trend & Pullback Trading Indicator
//You can disable the Pullback signals in the settings. I will continue improving and updating the indicator over time. The Trend logic is already working perfectly.
Wolf 2.v1 is a trend-following indicator with optional pullback entries, designed for clean trend trading and structured risk management.
How it works:
• The main trend is detected using a 6-EMA ribbon (EMA 30–60)
• Trend Buy appears when all EMAs align upward
• Trend Sell appears when all EMAs align downward
Pullback logic (PB Buy / PB Sell):
• Pullback signals appear only after a confirmed trend signal
• PB trades are taken strictly in the direction of the active trend
• Price must pull back toward selected EMAs and remain above (or below) EMA60
• Optional risk-reward filter (RR ≥ 2) for higher-quality setups
• Pullback signals can be enabled or disabled in the settings
• Each new PB signal automatically removes previous PB levels to keep the chart clean
Trade visualization:
• Automatic Entry, Stop-Loss, and up to 4 Take-Profit levels
• Separate SL logic for Trend and Pullback trades
• Clear BUY / SELL and PB labels directly on the chart
Extras:
• Multi-Timeframe trend dashboard
• Non-repainting signals
• Suitable for Forex, Gold, and Crypto markets
Best used on M15–H1 timeframes during strong trends.
Orbedud_Rebourne_V2_SubgraphOrbedud Rebourne Trading Indicator
A fully adaptive, multi-timeframe trend detection system.
The Orbedud Rebourne indicator analyzes market dynamics across multiple perspectives simultaneously, providing clear directional signals without requiring manual parameter optimization. The system automatically adapts to changing market conditions and different timeframes, making it suitable for futures, stocks, and forex trading.
Key Features:
Self-adapting to any market or timeframe
Consensus-based signals for high-confidence entries
Normalized strength meter (-100 to +100) for objective trend measurement
Visual trend lines with color-coded market states
Built-in signal filtering to reduce false entries
Outputs:
Master trend line with support/resistance levels
Entry signals with confirmation markers
Market strength visualization
Session level tracking
Orbedud_Rebourne V2Orbedud Rebourne Trading Indicator
A fully adaptive, multi-timeframe trend detection system.
The Orbedud Rebourne indicator analyzes market dynamics across multiple perspectives simultaneously, providing clear directional signals without requiring manual parameter optimization. The system automatically adapts to changing market conditions and different timeframes, making it suitable for futures, stocks, and forex trading.
Key Features:
Self-adapting to any market or timeframe
Consensus-based signals for high-confidence entries
Normalized strength meter (-100 to +100) for objective trend measurement
Visual trend lines with color-coded market states
Built-in signal filtering to reduce false entries
Outputs:
Master trend line with support/resistance levels
Entry signals with confirmation markers
Market strength visualization
Session level tracking
VOLKDW!This indicator displays real-time trading volume to help identify institutional participation, momentum strength, and potential reversals.
Volume bars expand during periods of high market interest, often confirming breakouts, trend continuations, and high-probability entries. Contracting volume can signal exhaustion, consolidation, or weakening trends.
How to Use:
Rising price + rising volume → strong trend confirmation
Rising price + falling volume → possible divergence or fake breakout
High volume spikes → institutional activity or key decision points
Low volume zones → chop, consolidation, or no-trade environments
Best used alongside price action, support/resistance, ORB, and market structure for confirmation—not as a standalone signal.
💣 Volume Pressure Indicator – Description (Aggressive / Trader Style)
This indicator tracks raw volume pressure to expose where real money steps in.
Explosive volume bars often mark:
Breakouts that actually matter
Stop runs
Reversal traps
Trend continuation fuel
When price moves without volume, it’s usually fake.
When volume expands, something real is happening.
Trading Logic:
Volume spike + breakout = high-conviction move
Volume spike + rejection = reversal / fade setup
Weak volume = sit on hands
Climax volume = trend exhaustion warning
Designed to keep you out of dead markets and in sync with momentum.
Top Performer Dashboard (22 Stocks)added to your chart you can add up to 22 individual stocks, it will rank them from highest to lowest growth over 4 time frames, 1 week, 1 month, 3 month and 6 months. you can sort the results by each time frame.
please enjoy
Benner Cycle (TT314)This indicator replicates the famous "Benner Cycle," first published by Samuel Benner in 1875. Originally based on commodities prices.Includes Benner’s original descriptions for zones A, B, and C directly on the chart.
i.redd.it
MTF ATR LadderMTF ATR Ladder plots a higher‑timeframe ATR‑based ladder around a central pivot, mapped to your holding style (Scalp, DayTrade, ShortSwing, LongSwing, MediumHold, LongTerm). It anchors to regular‑session closes and computes a mode‑based central pivot plus configurable ATR levels: trigger bands at ±0.236 ATR, fib steps (±0.382/0.50/0.618/0.786), and core ±1 ATR, with optional ATR extensions out to ±3 ATR. You can independently toggle central, daily, weekly, monthly, and quarterly pivots and labels, choose current vs previous HTF close, customize line width/color, and control whether price, ATR labels, or both are shown at each level for clean intraday or swing execution framing
Valex Bot - V3Valex Bot V3 is a macro trend intelligence indicator designed to cut through market noise and highlight the most important directional shifts in price. Built for traders who prioritize clarity and confidence, it delivers clean, visually intuitive trend guidance along with precise buy and sell signals that align with major market cycles. By anchoring its analysis to higher-timeframe market structure, Valex Bot V3 helps users stay on the right side of powerful trends while avoiding emotional overtrading and false signals common on lower timeframes. Whether used as a standalone trend system or as a directional filter for entries, it excels at identifying high-probability market phases across crypto, forex, and traditional markets.
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.
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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📌 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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 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)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🏷️ 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)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📈 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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ 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%)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ 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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
