Unmitigated Cave Diving MTF High Low - BookMap Style Chart
Unmitigated Cave Diving MTF High Low - BookMap Style Chart
Introduction
This Pine Script indicator tracks unmitigated higher timeframe highs and lows with a session-aware approach, inspired by KinetiCapital's X D HL Targets.
Built for precision trading on instruments like NQ during extended trading hours (ETH), it visualizes support and resistance levels that have not yet been breached, helping traders identify key price zones for potential reversals or breakouts.
Core Features
The indicator monitors multi-timeframe levels (default 15-minute) and applies intelligent styling based on recency and survival duration:
Most Recent Levels: The 1st and 2nd most recent unmitigated highs and lows are highlighted with distinct colors and widths for quick visual identification
Session Age Tracking: Levels are categorized by how many full trading sessions (1800-1700 NQ ETH) they've survived unmitigated, with "old" levels receiving special highlighting once they exceed your defined threshold
BookMap-Style Visualization: Clean horizontal lines with optional price labels positioned above highs and below lows for minimal chart clutter
Real-Time Summary Table: Displays the four most recent levels with their prices, distance in points from current price, and session age
Mitigation Logic
Levels automatically update when price touches them - high levels are mitigated when price reaches or exceeds them, while low levels are mitigated when price touches or breaks below. Mitigated levels change to a neutral gray color and can optionally be deleted at session end to preserve chart memory.
This tool is particularly valuable for intraday traders who trade around key structural levels and need to understand which unmitigated zones represent the freshest or most significant price memory in the market.
Indicadores e estratégias
ATR Daily & Weekly With Stop Buffer this script shows Daily & Weekly ATR and also add 10% Stop buffer calculation so you can add stop loss.
Gold Sniper MGC1! - M30 Precision vPOCThis Pine Script, titled "Gold Sniper MGC1! - M30 Precision vPOC," is a high-precision intraday trading tool designed specifically for Micro Gold (MGC1!) futures. It integrates Market Profile and Volume Profile logic to identify key institutional levels across various trading sessions.
Core Functionality
The script identifies and plots the Volume Point of Control (vPOC)—the price level with the highest traded volume—for specific time windows:
P.vPOC (Previous vPOC): Calculated using a Daily VWAP sync to align perfectly with institutional data from the previous day.
vPOC Today: Tracks the developing Point of Control for the current global session (18:00 - 17:00).
Killzone vPOCs: Specifically isolates the highest volume price levels for the Asia (02h-08h), London (08h-14h), and New York (14h-17h) sessions.
Key Technical Features
Institutional Alignment: By utilizing request.security and hl2 median price calculations on a 30-minute basis, the script filters out market noise and aligns with the structural levels used by "Smart Money".
Dynamic Labels (Vignettes): Each level is projected to the right of the price action with a color-coded label. These labels dynamically display both the Level Name and the Exact Price (to two decimal places), facilitating rapid order entry.
Visual Hierarchy:
Black (Solid): Previous Day's Value (P.vPOC).
White (Dotted): Current Day's Developing Value.
Gold/Cyan/Orange: Specific Killzone session values.
Strategic Application
This script serves as the "Map" for the Gold Sniper MGC1! strategy. Traders use these levels to identify Liquidity Sweeps or Market Structure Shifts (MSS). When the price interacts with these vPOCs, it often signals institutional rejection or acceptance, providing high-probability entry points for intraday "Sniper" setups.
Liquidity Sweep Guardian (Universal % or point based)
Liquidity Sweep Guardian - Complete User Guide
## Overview
The **Liquidity Sweep Guardian** is a visual warning system designed to prevent premature counter-trend trades (fades) near Previous Day High (PDH) and Previous Day Low (PDL) levels. This indicator helps you avoid one of the most common trading mistakes: fading too early before liquidity sweeps complete.
---
## 🎯 Core Trading Principle
### **THE GOLDEN RULE: Don't Fade Until It's Unlocked**
Price often **accelerates into key levels** to sweep liquidity before reversing. Trading against this momentum is extremely dangerous.
**The Process:**
1. **Danger Zone** (Red/White Box) = ⚠️ **DO NOT FADE** - Sweep likely incoming
2. **Sweep Occurs** (Triangle marker appears) = Price penetrates the level
3. **Reclaim Happens** (Price returns above/below level) = Level is tested
4. **🔓 UNLOCKED** (Gold border, green label) = **NOW you may CONSIDER a fade**
> **Important:** "UNLOCKED" means you may now *consider* a fade setup. It is NOT a trade signal itself. You still need your entry confirmation, risk management, and trade plan.
---
## 📊 Visual Elements Explained
### 1. **Danger Zone Boxes (Red Border by Default)**
**Two types of zones around PDH/PDL:**
- **Outer Danger Zone** (White fill): ±75pts (or 0.30%) around the level
- Indicates proximity to a key level where sweeps commonly occur
- Yellow/cautious trading zone
- **Inner Critical Zone** (Black fill): ±25pts (or 0.10%) around the level
- Highest probability area for liquidity sweep traps
- Avoid fading here at all costs
**What to do:**
- When price enters these zones, **wait and watch**
- Do not initiate counter-trend positions
- Allow the sweep to play out
### 2. **Unlocked Zones (Gold Border #ffeb3b)**
When a zone turns **gold/yellow** with green fill:
- The level has been swept AND reclaimed
- The liquidity grab is complete
- You may now look for fade opportunities with proper confirmation
### 3. **PDH/PDL Lines**
- **PDH Line** (Red): Previous Day High with price label
- **PDL Line** (Green): Previous Day Low with price label
- These are your key reference levels for the session
### 4. **Sweep Labels**
**Triangle Markers (SWEEP):**
- **Green Triangle** = Clean sweep (10-25pts penetration)
- **Orange Triangle** = Extended sweep (25-50pts penetration)
- **Red Triangle** = Deep penetration (50+ pts) - likely continuation, not reversal
**Warning Labels:**
- **⚠️ DEEP CONTINUATION?** = Penetration too deep, probably NOT a reversal setup
**Unlock Labels:**
- **🔓 LONG UNLOCKED** = PDL swept and reclaimed, may consider long fades
- **🔓 SHORT UNLOCKED** = PDH swept and reclaimed, may consider short fades
---
## ⚙️ Settings Guide
### **Calculation Mode**
**Use Percentage Mode (Default: ON)**
- ✅ **Enabled**: Universal mode - works on NQ, ES, RTY, stocks, crypto, forex
- ❌ **Disabled**: Fixed points mode - for specific instruments only
**When to use each:**
- **Percentage Mode**: Trading multiple instruments, or instruments with varying price levels
- **Fixed Points Mode**: Single instrument focus (e.g., only trading NQ at current levels)
### **Danger Zone Settings**
**Percentage Mode (Default for Universal Use):**
- **Danger Zone**: 0.30% each side (≈75pts on NQ@25,000)
- **Critical Zone**: 0.10% each side (≈25pts on NQ@25,000)
**Fixed Points Mode (For NQ Specifically):**
- **Danger Zone**: 75 points each side
- **Critical Zone**: 25 points each side
**Adjustment Tips:**
- For more volatile instruments: Increase percentages/points
- For less volatile instruments: Decrease percentages/points
- For higher timeframes: Use wider zones
- For lower timeframes: Use tighter zones
### **Sweep Classification**
**What defines a "real" sweep:**
- **Minimum**: 10pts / 0.04% - Shallow penetration may not grab enough liquidity
- **Optimal**: 10-25pts / 0.04-0.10% - "Goldilocks zone" for reversal setups
- **Extended**: 25-50pts / 0.10-0.20% - Deeper sweep, less reliable
- **Continuation**: 50+pts / 0.20%+ - Too deep, likely NOT reversing
**Max Bars for Reclaim**: 5 bars (default)
- Price should reclaim the level relatively quickly
- If it takes too long, the sweep may have failed
### **Visual Customization**
**Box Settings:**
- **Left Extension**: 60 bars (how far back the box extends)
- **Right Extension**: 50 bars (how far forward the box extends)
**Toggle Options:**
- Show/Hide Danger Zone Boxes
- Show/Hide PDH/PDL Lines
- Show/Hide Price Labels on lines
- Show/Hide Sweep Labels
- Show/Hide Unlock Labels
### **Color Customization**
All colors are fully customizable:
- Danger Zone Fill & Border
- Critical Zone Fill & Border
- Unlocked Zone Fill & Border
- PDH/PDL Line Colors
- PDH/PDL Label Colors
- Border Widths (1-5 pixels)
- Line Widths (1-5 pixels)
---
## 🎓 Trading Strategy Examples
### **Example 1: Long Setup at PDL**
1. **Morning**: Price approaches PDL (danger zone appears)
2. **Don't Fade Yet**: Price enters critical zone - resist urge to buy
3. **Sweep**: Price drops 15pts below PDL (green triangle appears)
4. **Reclaim**: Price closes back above PDL within 3 bars
5. **🔓 UNLOCKED**: Gold border + "LONG UNLOCKED" label appears
6. **Trade Setup**: Now look for bullish confirmation (order flow, structure, etc.)
### **Example 2: Avoiding a Trap at PDH**
1. **Afternoon**: Price rallies into PDH danger zone
2. **Temptation**: You want to short here (it "looks toppy")
3. **Sweep**: Price breaks 50pts above PDH (red triangle + ⚠️ warning)
4. **Continuation**: Deep penetration suggests continuation, not reversal
5. **Result**: No unlock occurs, price keeps running higher - trap avoided!
### **Example 3: Failed Unlock (No Trade)**
1. Price sweeps PDL by 12pts (green triangle)
2. Price struggles to reclaim PDL, stays below for 10+ bars
3. No "UNLOCKED" label appears
4. **Correct Action**: Do not fade - sweep failed to reclaim
---
## 📱 Alerts
The indicator includes built-in alerts for:
- **Entering Danger Zones**: Get warned when price approaches PDH/PDL
- **Sweep Detection**: Know immediately when a level is swept
- **Unlock Signals**: Get notified when fade setups become available
- **Continuation Warnings**: Alert when penetration suggests continuation
**To Set Alerts:**
1. Right-click indicator → "Add Alert"
2. Select desired alert condition
3. Configure notification preferences
---
## ⚠️ Important Disclaimers
### **What This Indicator IS:**
✅ A visual warning system to prevent premature fades
✅ A tool to identify when liquidity sweeps have completed
✅ A framework for counter-trend trade timing
### **What This Indicator IS NOT:**
❌ A complete trading system
❌ An entry signal generator
❌ A guarantee of trade success
❌ A substitute for proper risk management
### **Always Remember:**
- "UNLOCKED" = You may CONSIDER a fade (not a signal to trade)
- You still need your own entry confirmation
- You still need proper stop placement
- You still need position sizing and risk management
- Not every unlock leads to a successful trade
- Market context and order flow still matter
---
## 🔧 Recommended Settings by Instrument
### **NQ (Nasdaq-100 E-mini Futures)**
- Mode: Percentage or Fixed Points
- Percentage: 0.30% / 0.10% (default)
- Fixed Points: 75pts / 25pts (default)
### **ES (S&P 500 E-mini Futures)**
- Mode: Percentage
- Danger: 0.25% / Critical: 0.08%
- Or Fixed Points: 15pts / 5pts
### **RTY (Russell 2000 E-mini Futures)**
- Mode: Percentage
- Danger: 0.35% / Critical: 0.12%
- Or Fixed Points: 8pts / 3pts
### **Stocks (High Volume Large Caps)**
- Mode: Percentage (recommended)
- Danger: 0.20-0.40% / Critical: 0.08-0.15%
- Adjust based on ATR and volatility
### **Crypto (BTC, ETH)**
- Mode: Percentage (essential)
- Danger: 0.40-0.60% / Critical: 0.15-0.20%
- Higher volatility requires wider zones
---
## 💡 Pro Tips
1. **Use on Higher Timeframes**: Works best on 5min, 15min, 1hr charts
2. **Combine with Order Flow**: Use with footprint/delta for confirmation
3. **Watch Volume**: Strong volume on sweep = better reversal potential
4. **Consider Time of Day**: Sweeps during RTH often more reliable
5. **Multiple Timeframes**: Check if higher TF also shows unlock
6. **Don't Force Trades**: Not every session produces clean setups
7. **Journal Results**: Track which unlock types work best for you
8. **Respect Continuation Signals**: When indicator says "too deep," listen
---
## 🆘 Troubleshooting
**Q: Box isn't showing up**
A: Check that "Show Danger Zone Boxes" is enabled in Visual Settings
**Q: No price on labels**
A: Enable "Show Price Labels on Lines" in Visual Settings
**Q: Zones seem too tight/wide**
A: Adjust Danger Zone % or points based on current volatility
**Q: Getting too many/too few unlocks**
A: Adjust sweep classification thresholds (min/max penetration)
**Q: Want thicker/thinner lines**
A: Adjust line widths in "PDH/PDL Line Colors" section
**Q: Colors not matching my chart theme**
A: Fully customize all colors in the color settings groups
---
## 📚 Additional Resources
- Study price action around PDH/PDL on your instruments
- Learn about liquidity sweeps and stop hunts
- Understand market structure and order flow
- Practice identifying setups on replay/historical data
- Keep a trading journal of unlock scenarios
---
*Remember: The best trade is often the one you don't take. This indicator helps you avoid the trades you shouldn't take, so you can focus on the ones you should.*
Gann ArchitectThe Gann Architect is a quantitative geometric engine designed to solve the primary limitation of standard Gann tools: Scaling.
Standard Gann Fans use fixed angles (e.g., 45 degrees for 1:1), which often fail when applied to volatile assets or different timeframes because they do not account for the specific price-to-time ratio of the asset. This indicator solves this by calculating a Dynamic Slope. It identifies the initial "Impulse Phase" (Anchor Low → First Major High) and mathematically "squares" the chart to fit that specific market structure.
Key Features
Dynamic Squaring: Automatically calculates the true 1:1 Master Line based on the asset's actual volatility, not an arbitrary angle.
Quantitative Alerts: Includes a built-in alert system. You can set alerts for "Crossed 1:1" (Trend Break), "Structural Fail 1:2" (Support Break), or "Impulse Breakout 2:1".
Real-Time Data Panel: A dashboard displays the exact price targets for the geometric levels, removing the need to eyeball the lines.
Efficiency: Uses a circular buffer memory system to ensure high performance ("100% potential") without slowing down your chart.
How to Use
This tool is designed as a Trend Following & Structure Map, not a reversal signal.
The 1:1 Line (Solid): This represents the "True Trend." In a strong bullish phase, price should respect this line as dynamic support. A confirmed close below this line often signals momentum loss.
The 1:2 Line (Bottom Support): This acts as the "Structural Floor." If price loses the 1:1 but holds the 1:2, it is considered a healthy correction. A break below the 1:2 typically invalidates the geometric structure of the current cycle.
The 2:1 Line (Top Resistance): This marks the "Impulse Zone." A break above this line suggests parabolic or over-extended behaviour.
Settings
Cycle Stiffness: Controls the sensitivity of the pivot detection. Increase this value (e.g., to 4 or 5) to filter out noise and focus on macro trends.
Anchor Pivot #: Allows you to select which historical cycle bottom to anchor the geometry to (1 = most recent confirmed bottom).
Slope Multiplier: Adjusts the aggressiveness of the fan. Default is 1.0 (Geometric Standard).
Technical Disclosure (Repainting & Lag)
This script utilises a Confirmed Pivot Detection system.
Signal Lag: To ensure reliability, the geometric fans anchor to confirmed pivots. A pivot is only confirmed after Right Length bars have passed. Therefore, the fans will appear on the chart with a slight delay relative to the absolute low.
Repainting: Once a pivot is confirmed and the fans are drawn, the lines for that specific cycle do not repaint history. However, if a new, lower low forms that invalidates the previous structure, the script will dynamically shift to the new anchor point to maintain geometric accuracy.
Disclaimer This script is for educational and experimental purposes only. Geometric analysis is a mapping tool, not a guarantee of future price action. Always use proper risk management. Past performance of geometric levels does not guarantee future results.
Razzere Cloned! V.8.1The foreign exchange market (forex, FX, or currency market) is a global decentralized or over-the-counter (OTC) market for the trading of currencies. This market determines foreign exchange rates for every currency. By trading volume, it is by far the largest market in the world, followed by the credit market.
The main participants are the larger international banks. Financial centres function as anchors of trading between a range of multiple types of buyers and sellers around the clock, with the exception of weekends. As currencies are always traded in pairs, the market does not set a currency's absolute value, but rather determines its relative value by setting the market price of one currency if paid for with another. Example: 1 USD is worth 1.1 Euros or 1.2 Swiss Francs etc. The market works through financial institutions and operates on several levels. Behind the scenes, banks turn to a smaller number of financial firms known as "dealers", who are involved in large quantities of trading. Most foreign exchange dealers are banks, so this behind-the-scenes market is sometimes called the "interbank market". Trades between dealers can be very large, involving hundreds of millions of dollars. Because of the sovereignty issue when involving two currencies, Forex has little supervisory entity regulating its actions. In a typical foreign exchange transaction, a party purchases some quantity of one currency by paying with some quantity of another currency.
PDH(RTH)+PMH / PDL(RTH)+PML First Break + 3m EMA RetestIncludes retest notification for passed or failed on 3min 9EMA.
Structure Lite - Automatic Major Trend LinesStructure Lite – Pivot-Based Market Structure Visualization
OVERVIEW
Structure Lite is an open-source charting tool designed to assist traders in visualizing higher-timeframe market structure. The script identifies major swing points using high-period pivot analysis and projects structural support and resistance lines directly on the chart. Its purpose is to highlight persistent market structure while minimizing visual noise.
CORE CONCEPTS & CALCULATIONS
Pivot Identification
The script uses Pine Script’s built-in ta.pivothigh() and ta.pivotlow() functions to identify confirmed swing highs and lows. A pivot is only validated after a user-defined number of bars (Major Pivot Lookback) have formed on both sides of the price extreme, ensuring that only structurally significant pivots are selected.
Structural Pairing
Each structural line is created only after two consecutive pivots of the same type are confirmed (high-to-high or low-to-low). The script stores the price and bar index of these pivots and uses them as fixed anchor points.
Line Projection
Once a valid pivot pair is formed, the script draws a line between the two points using line.new() and extends it forward using extend.right. These lines represent projected structural boundaries rather than trade signals.
Object Management
To maintain chart clarity and performance, the script manages all drawn objects through a line array. A FIFO (First-In, First-Out) method is applied so that only the three most recent structural lines remain visible. Older lines are automatically deleted as new ones are created.
DESIGN PHILOSOPHY & ORIGINALITY
While many indicators plot frequent swing points or short-term pivots, Structure Lite focuses on structural persistence. By filtering for higher-period pivots and limiting the number of displayed projections, the script emphasizes dominant market structure rather than short-term fluctuations. This approach is intended to support discretionary analysis, not replace it.
HOW TO USE
Major Pivot Lookback
Increase the value to focus on higher-timeframe structure (e.g., swing or position trading).
Decrease the value to visualize intraday structural levels.
Visual Encoding
Green lines represent projected structural support
Red lines represent projected structural resistance
Visibility Control
A boolean input allows all structure lines to be hidden instantly to restore a clean price chart.
LIMITATIONS & DISCLAIMER
This script is a visualization tool only. It does not generate trade signals, entry or exit points, alerts, or directional forecasts. All plotted levels are derived from historical price action and may change as new pivots form. The script is provided for educational and analytical purposes and should be used in conjunction with other forms of market analysis
SMT Divergence [Kodexius]SMT Divergence is a correlation-based divergence detector built around the Smart Money Technique concept: when two normally correlated instruments should be making similar swing progress, but one prints a new extreme while the other fails to confirm it. This “disagreement” can be a valuable contextual signal around liquidity runs, distribution phases, and potential reversal or continuation points.
The script compares the chart symbol (primary) with a user-selected comparison symbol (for example BTC vs ETH, ES vs NQ, EUR/USD vs GBP/USD) and automatically scans both instruments for confirmed swing highs and swing lows using pivot logic. Once swings are established, it checks for classic SMT conditions:
Primary makes a new swing extreme while the comparison symbol forms a non-confirming swing .
To support a wider range of markets, the indicator includes an Inverse Correlation option for pairs that typically move opposite to each other (for example DXY vs EUR/USD). With this enabled, the divergence rules are logically flipped so that the script still detects “non-confirmation” in a way that is consistent with the pair’s relationship.
The indicator is designed to be readable and actionable. It can draw divergence labels directly on the main chart, connect the relevant swing points with lines, show a compact information table with the last signal and settings, and optionally render the comparison symbol as a mini candle chart in the indicator pane for quick visual validation.
🔹 Features
🔸 Two-Symbol SMT Analysis (Primary vs Compare)
Select any comparison symbol to evaluate correlation structure and divergence. The script fetches the comparison OHLC data using the current chart timeframe to keep both series aligned for analysis.
🔸 Inverse Correlation Mode
For inversely correlated pairs, enable “Inverse Correlation” so the script interprets confirmation appropriately (for example, a higher low on the comparison instrument might be expected to correspond to a lower low on the primary, depending on the relationship). This helps avoid false conclusions when the pair naturally moves opposite.
🔸 Pivot-Based Swing with Adjustable Sensitivity
Swings are detected using confirmed pivots (left bars and right bars). This provides cleaner structural swing points compared with raw candle-to-candle comparisons, and it lets you control sensitivity for different market conditions and timeframes. The script also limits stored swing history to keep performance stable.
🔸 Flexible Detection Mode: Time Matched or Independent Swings
You can choose how swings are paired across instruments:
Time Matched searches for a comparison swing that occurred at the same pivot time as the primary swing.
Independent Swings compares each symbol’s own last two swings without requiring an exact time match.
🔸 Range Control and Noise Filtering
To reduce weak or irrelevant signals:
“Max Bars Between Swings” ensures the two swings being compared are close enough in structure to be meaningful.
“Min Price Diff (%)” can require a minimum percentage change between the primary’s last two swing prices to confirm the move is significant.
🔸 Clear Visual Output with Tooltips
When a divergence is detected, the script can print a label (“SMT”) with bullish or bearish styling and a tooltip that includes the symbol pair and the primary swing price for quick context.
🔸 Divergence Lines for Context
Optional lines connect the relevant swing points, making it easier to see the exact structure that triggered the signal. One line can be drawn on the main chart and another in the indicator pane for the comparison series.
🔸 Info Table (At a Glance)
A compact table can display the active symbols, correlation mode, total divergences stored, and the most recent signal type.
🔸 Alerts Included
Built-in alert conditions are provided for bullish SMT, bearish SMT, and any SMT event so you can automate notifications without editing the code.
🔸 Optional Comparison Candle Panel
If enabled, the indicator can plot the comparison symbol as candles in the indicator pane. This is useful for confirming whether the divergence is happening around major levels, consolidations, or impulsive legs on the secondary instrument.
🔹 Calculations
This section summarizes the core logic used by the script.
1. Data Synchronization (Comparison Symbol)
The comparison instrument is requested on the chart’s current timeframe so swing calculations are performed consistently:
=
request.security(compareSymbolInput, timeframe.period, )
This ensures pivots and swing times are derived from the same bar cadence as the primary chart.
2. Swing Detection via Confirmed Pivots
Swings are detected using pivot logic with user-defined left and right bars:
primaryPivotHigh = ta.pivothigh(high, pivotLeftBars, pivotRightBars)
primaryPivotLow = ta.pivotlow(low, pivotLeftBars, pivotRightBars)
Because pivots are confirmed only after the “right bars” have closed, the script stores each swing using an offset so the swing’s bar index and time reflect where the pivot actually occurred, not where it was confirmed.
3. Swing Storage and Retrieval
Both symbols maintain arrays of SwingPoint objects. Each new swing is pushed into the array, and older swings are dropped once the array exceeds the configured maximum. This makes the divergence engine predictable and prevents uncontrolled memory growth.
The script then retrieves the last and previous swing highs and lows (per symbol) to evaluate structure.
4. Matching Logic (Time Matched vs Independent)
When “Time Matched” is selected, the script searches the comparison swing array for a pivot that occurred at the exact same timestamp as the primary swing. When “Independent Swings” is selected, it simply uses the comparison symbol’s last two swings of the same type.
5. Bullish SMT Condition (LL vs HL)
A bullish SMT event is defined as:
Primary forms a lower low (last low < previous low)
Comparison forms a higher low (last low > previous low)
If inverse correlation is enabled, the comparison condition flips to maintain logical confirmation rules
The two primary swings must be within the configured bar distance window
Optional minimum percentage difference must be satisfied
A simple anti duplication rule prevents repeated triggers on the same structure
These checks are implemented directly in the bullish detection block.
6. Bearish SMT Condition (HH vs LH)
A bearish SMT event is defined as:
Primary forms a higher high (last high > previous high)
Comparison forms a lower high (last high < previous high)
Inverse correlation flips the comparison rule
Range checks, minimum difference filtering, and duplicate protection apply similarly
These checks are implemented in the bearish detection block.
7. Percentage Difference Filter
The optional “Min Price Diff (%)” filter measures the relative distance between the last two primary swing prices. This prevents very small structural changes from being treated as valid SMT signals.
priceDiffPerc = math.abs(lastSwing.price - prevSwing.price) / prevSwing.price * 100.0
The divergence condition is only allowed to trigger if this value exceeds the user defined threshold.
priceOk = priceDiffPerc >= minPriceDiff
This filter is especially useful on higher timeframes or during low volatility conditions, where micro structure noise can otherwise produce misleading signals.
8. Visualization and Output
When a divergence is confirmed, the script:
Stores the event in a divergence array (limited by “Max Divergences to Display”)
Draws a directional SMT label with a tooltip (optional)
Draws connecting lines using time based coordinates for clean alignment (optional)
It also updates an information table on the last bar only, and exposes alertconditions for automation workflows.
alplerThe 4H Engulf Indicator is a rule-based price action tool designed to identify high-probability trading opportunities on the 4-hour timeframe. Its core logic is built around bullish and bearish engulfing candles, which are widely accepted as strong reversal or continuation signals in technical analysis.
This indicator focuses only on confirmed engulfing patterns, meaning the signal is generated after the candle is fully closed, not while it is forming. This helps eliminate false signals and emotional, premature entries. When a bullish engulfing candle appears, the indicator marks a bullish signal, suggesting potential upward momentum. Conversely, when a bearish engulfing candle forms, a bearish signal is displayed, indicating possible downward pressure.
One of the key strengths of the 4H Engulf Indicator is its clarity and simplicity. Signals are shown directly on the chart using visually clear arrows and labels, allowing the trader to quickly assess market direction without clutter. The indicator does not predict the market; instead, it reacts to confirmed price behavior, which aligns well with disciplined and systematic trading.
The 4-hour timeframe provides a balance between noise reduction and timely opportunities, making this indicator suitable for swing traders and position traders. When combined with trend filters, risk management rules, or higher-timeframe analysis, the 4H Engulf Indicator becomes a powerful component of a professional trading system.
ORB M15 Fibo din ORB EMA200 MTFTesting a new idea based on ORB m15. Still on testing, not worth it to translate it into English
Stationary Notes (Paragraph Box)This indicator helps you journal and notate any analysis’s you’ve made and display them while remaining stationary.
Gemini Scalping Strategy [Pro Dash]Description: Gemini Scalping Strategy is a comprehensive monitoring system designed for high-frequency trading and scalping on lower timeframes (1m to 15m). This tool combines a fast-response Trailing Stop based on Average True Range (ATR) with a professional, real-time multi-factor Dashboard to provide a complete view of market structure and momentum.
Key Features:
Reactive ATR Trailing Stop: Provides immediate Buy/Sell signals based on volatility expansion and price breakouts. The trail line dynamically changes color to reflect volatility health.
Contextual Dashboard:
Choppiness Index (Corrected): Identifies whether the market is in a Trending phase (below 38.2) or a Sideways phase (above 61.8), helping to avoid "noise" in flat markets.
RSI Control Logic: Uses the 50-level pivot to define market control (Bull Control vs. Bear Control) instead of simple overbought/oversold levels.
ADX Strength: Measures trend intensity to filter out weak breakouts.
ATR Expansion: Monitors whether current volatility is above its average to confirm entry momentum.
How to use:
Entry: Primary signals are generated by the ATR triangles.
Confirmation: Use the Dashboard to verify market quality. High-probability trades occur when ATR signals align with "TREND" status on the CHOP and "BULL/BEAR CONTROL" on the RSI.
Customization: All dashboard elements (position, size, transparency, and theme) are fully customizable via the settings menu.
Disclaimer: This indicator is for educational and analytical purposes only. Trading involves significant risk, and past performance is not indicative of future results.
Markov: Transition Matrix [Daily Timeframe]Description
This indicator computes a 3-state Markov chain from price action and visualizes the transition probabilities between daily states:
• Up: daily % change > threshold
• Down: daily % change < -threshold
• Sideways: |daily % change| ≤ threshold
From those states, it builds transition matrices:
• Today → Tomorrow (1 day ahead)
• Today → In 2 days
• Today → In 3 days
Each matrix cell shows:
P(next state | current state)
Rows are the current state (today), columns are the future state (tomorrow / +2 / +3).
Each row sums to 100% (when there is sufficient sample size).
________________________________________
How to read it (trader workflow)
1. Identify the current regime (the most recent confirmed daily state).
2. Look at the row matching that regime:
• The ★ marks the highest probability outcome for that row (most likely next state).
• Heatmap intensity increases as probability increases.
• Each row shows its own sample size (n=...) so you can judge statistical support.
3. Use Quick-read:
• “Now” = current regime
• “Best” = top conditional outcome + probability
• “2nd” = second-best outcome + probability
4. Use Universe (N):
• Shows the marginal distribution: how often days are Up/Down/Sideways across the whole dataset.
________________________________________
Settings
Core logic
• Sideways threshold: controls how strict “Sideways” is.
Example: 0.001 = ±0.10% daily move is considered Sideways.
Display
• Toggle 1D / 2D / 3D matrices.
• Highlight best probability per row (★).
• Show n per row (row transition count).
• Focus: current state row only to reduce noise and speed decision-making.
• Quick-read row for the current regime.
Theme (fully customizable)
All colors can be customized:
• Up / Down / Sideways base colors
• Header background + header text
• Values text
• Quick-read neutral background
This makes it suitable for both light and dark chart themes.
________________________________________
Notes / Limitations
• The indicator is designed for daily sessions. It uses daily close-to-close returns to classify states and update the Markov chain once per day.
• On very volatile assets, a very small threshold can make Sideways rare. If you want a more frequent Sideways regime, increase the threshold.
• This is a statistical visualization tool, not a trading system.
________________________________________
Disclaimer (TradingView-friendly)
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk. Past probabilities do not guarantee future results. Use at your own discretion and always apply proper risk management.
Candle Strength Analyzer by The Ultimate Bull Run# Candle Strength Analyzer
## 📊 Complete Beginner's Guide
---
### 🎯 What This Indicator Does
The **Candle Strength Analyzer** measures how "strong" or "weak" each candlestick is and displays a **score from 0 to 100** above or below every candle.
- **Green numbers** = Bullish (price went UP)
- **Red numbers** = Bearish (price went DOWN)
- **Gray numbers** = Doji (price barely moved)
**Higher score = Stronger candle = More reliable signal**
---
### 🕯️ Understanding Candlesticks (The Basics)
If you're new to trading, here's what a candlestick shows:
```
│ ← Upper Wick (prices that were rejected)
│
┌───┐
│ │ ← Body (the "real" price movement)
│ │ • Green/White body = Price went UP (Bullish)
│ │ • Red/Black body = Price went DOWN (Bearish)
└───┘
│
│ ← Lower Wick (prices that were rejected)
```
**Key Terms:**
- **Open**: The price when the candle started
- **Close**: The price when the candle ended
- **High**: The highest price during the candle
- **Low**: The lowest price during the candle
- **Body**: The rectangle between Open and Close
- **Wick/Shadow**: The thin lines above and below the body
---
## 📐 The 4 Components of Candle Strength
This indicator combines **4 measurements** to calculate the final strength score. Let's understand each one:
---
### 1️⃣ Body Ratio (30% of score)
**What it is:**
The percentage of the candle that is "body" versus "wicks."
**Formula:**
```
Body Ratio = Size of Body ÷ Total Candle Size × 100
```
**What it tells you:**
- **High Body Ratio (70-100%)**: Bulls or bears were in FULL control. The price moved in one direction and STAYED there. This is strong.
- **Low Body Ratio (0-30%)**: There was a fight. Price moved up AND down but ended up roughly where it started. This is weak/indecisive.
**Visual Example:**
```
Strong Candle (90% body): Weak Candle (20% body):
│ │
┌───┐ │
│ │ ┌─┴─┐
│ │ ← Mostly body │ │ ← Tiny body
│ │ └─┬─┘
└───┘ │
│ │
```
**How to interpret:**
| Body Ratio | Meaning |
|------------|---------|
| 90-100% | **Marubozu** - Extremely strong, full commitment |
| 70-90% | **Strong** - Clear winner (bulls or bears) |
| 40-70% | **Normal** - Typical market activity |
| 10-40% | **Weak** - Significant indecision |
| 0-10% | **Doji** - Complete indecision, no winner |
---
### 2️⃣ Close Position Score (25% of score)
**What it is:**
WHERE the candle closed within its range (high to low).
**What it tells you:**
- For a **bullish (green) candle**: Closing near the HIGH means buyers were still eager at the end = STRONG
- For a **bearish (red) candle**: Closing near the LOW means sellers were still eager at the end = STRONG
**Visual Example:**
```
Strong Bullish: Weak Bullish:
(closes near high) (closes near middle)
┌───┐ ← Close here │
│ │ ┌─┴─┐ ← Close here
│ │ │ │
│ │ │ │
└───┘ └───┘
│ │
```
**Why it matters:**
If price went UP but then sellers pushed it back down before the candle closed, that's a sign of weakness. The bulls couldn't hold their ground.
**How to interpret:**
| Close Position | For Bullish Candle | For Bearish Candle |
|----------------|-------------------|-------------------|
| 80-100% | Strong (near high) | Weak (near high) |
| 50-80% | Moderate | Moderate |
| 20-50% | Weak | Moderate |
| 0-20% | Very Weak (near low) | Strong (near low) |
---
### 3️⃣ Relative Volume - RVOL (25% of score)
**What is Volume?**
Volume is the NUMBER of shares/contracts traded during that candle. Think of it as "how many people participated."
**What is RVOL?**
RVOL compares TODAY'S volume to the AVERAGE volume.
**Formula:**
```
RVOL = Current Volume ÷ Average Volume (last 20 candles)
```
**What it tells you:**
- **RVOL = 1.0**: Normal activity (same as average)
- **RVOL = 2.0**: DOUBLE the normal activity (2x more traders involved)
- **RVOL = 0.5**: HALF the normal activity (fewer traders involved)
**Why it matters:**
A big price move with LOW volume is suspicious - it might not last.
A big price move with HIGH volume is confirmed - many traders agree.
**Think of it like voting:**
- High volume = Many people voted for this direction
- Low volume = Only a few people voted, decision might change
**How to interpret:**
| RVOL | Meaning | Signal Quality |
|------|---------|----------------|
| 2.0+ | Very High - Institutional activity likely | ⭐⭐⭐ Excellent |
| 1.5-2.0 | High - Significant interest | ⭐⭐ Good |
| 1.0-1.5 | Above Average | ⭐ Acceptable |
| 0.7-1.0 | Below Average | ⚠️ Caution |
| < 0.7 | Low - Lack of interest | ❌ Unreliable |
---
### 4️⃣ Size vs ATR (20% of score)
**What is ATR?**
ATR stands for "Average True Range." It measures how much the price TYPICALLY moves.
**What this component measures:**
How big is THIS candle compared to how big candles USUALLY are?
**Formula:**
```
ATR Ratio = This Candle's Size ÷ Average Candle Size (ATR)
```
**What it tells you:**
- **ATR Ratio = 2.0**: This candle is TWICE as big as normal = Significant move
- **ATR Ratio = 1.0**: This candle is normal sized
- **ATR Ratio = 0.5**: This candle is HALF the normal size = Minor move
**Why it matters:**
A 50-point move in a stock that normally moves 100 points is small.
A 50-point move in a stock that normally moves 20 points is HUGE.
Context matters!
**How to interpret:**
| ATR Ratio | Meaning |
|-----------|---------|
| 2.0+ | **Expansion** - Unusually large move, potential breakout |
| 1.5-2.0 | **Large** - Significant momentum |
| 1.0-1.5 | **Above Average** - Notable move |
| 0.5-1.0 | **Normal** - Typical movement |
| < 0.5 | **Small** - Insignificant, might be noise |
---
## 🧮 How the Final Score is Calculated
The indicator combines all 4 components with these weights:
```
Final Score = (Body Ratio × 30%) +
(Close Position × 25%) +
(RVOL Score × 25%) +
(Size Score × 20%)
```
**Result: A score from 0 to 100**
---
## 📊 Understanding the Strength Score
| Score | Classification | What It Means | Should You Trade It? |
|-------|---------------|---------------|---------------------|
| **70-100** | 🟢 STRONG | High conviction move, reliable signal | ✅ Yes - Good setup |
| **40-70** | 🟡 MODERATE | Average move, needs confirmation | ⚠️ Maybe - Add other indicators |
| **0-40** | 🔴 WEAK | Low conviction, unreliable | ❌ No - Wait for better setup |
---
## 🏷️ Special Pattern Markers
The indicator also detects special candlestick patterns:
### ⚡ Power Candle
**Requirements:**
- Body Ratio > 70% (strong body)
- RVOL > 1.5 (high volume)
- Close Position > 80% (closes near the extreme)
**What it means:** The BEST possible signal. Everything aligns perfectly.
### Ⓜ️ Marubozu
**Requirements:**
- Body Ratio > 90% (almost no wicks)
**What it means:** Complete dominance by bulls or bears. Very strong continuation signal.
### ◆ High Volume Doji
**Requirements:**
- Doji candle (tiny body)
- High volume
**What it means:** Many traders are fighting, but no one won. Often signals a REVERSAL is coming.
---
## ⚙️ Settings Explained
### Volume Settings
| Setting | Default | What It Does |
|---------|---------|--------------|
| Volume Lookback Period | 20 | How many candles to average for "normal" volume |
| RVOL Threshold | 1.5 | What counts as "high" volume (1.5 = 50% above average) |
### ATR Settings
| Setting | Default | What It Does |
|---------|---------|--------------|
| ATR Period | 14 | How many candles to calculate average movement |
| ATR Multiplier | 1.5 | What counts as a "large" candle |
### Strength Thresholds
| Setting | Default | What It Does |
|---------|---------|--------------|
| Strong Candle Threshold | 70 | Score needed to be "strong" |
| Weak Candle Threshold | 30 | Score below this is "weak" |
### Label Filter (Important!)
TradingView limits indicators to **500 labels maximum**. Use filters to see more history:
| Filter Mode | Shows | Best For |
|-------------|-------|----------|
| All Candles | Every single candle | Short-term charts (5min, 15min) |
| Strong Only (70+) | Only strong candles | Longer history, key signals only |
| Moderate+ (40+) | Moderate and strong | Balance of detail and history |
| Custom Minimum | Your choice | Full control |
**Tip:** On daily charts, use "Strong Only" to see months of history instead of just a few weeks.
### Label Settings
| Setting | What It Does |
|---------|--------------|
| Label Size | tiny / small / normal / large |
| Show Decimal Places | Show "72.5" instead of "73" |
| Label Style | With background bubble OR just text |
---
## 📖 How to Read the Info Table
The table in the corner shows details for the CURRENT (most recent) candle:
| Row | Meaning |
|-----|---------|
| **Candle Strength** | The final score (0-100) |
| **Direction** | BULLISH / BEARISH / DOJI |
| **Body Ratio** | Percentage of candle that is body |
| **Close Position** | Where it closed (0-100) |
| **Upper Wick** | Size of upper wick as % |
| **Lower Wick** | Size of lower wick as % |
| **RVOL** | Current volume vs average (1.5x = 50% above average) |
| **Size/ATR** | Candle size vs average size |
| **Classification** | STRONG / MODERATE / WEAK |
| **Vol Confirmed** | Is volume above threshold? |
| **Pattern** | Special pattern detected |
---
## 🎓 How to Use This Indicator
### Step 1: Add to Chart
1. Open Pine Editor in TradingView
2. Paste the code
3. Click "Add to Chart"
### Step 2: Adjust Filter (if needed)
- If you see "max labels reached," change filter to "Strong Only (70+)"
- This lets you see more candles in history
### Step 3: Look for Strong Signals
Focus on candles with:
- ✅ Score **70+** (bright green or red)
- ✅ **RVOL > 1.5** (confirmed by volume)
- ✅ Special markers (⚡, M, ◆)
### Step 4: Avoid Weak Signals
Be careful with candles that have:
- ❌ Score **below 40** (muted colors)
- ❌ **RVOL < 1.0** (no volume confirmation)
- ❌ Large wicks (rejection happened)
---
## 💡 Trading Tips for Beginners
### ✅ DO:
1. **Wait for strong candles (70+)** before entering trades
2. **Confirm with volume** - Look for RVOL > 1.5
3. **Use at support/resistance levels** - Strong candles at key levels are more meaningful
4. **Combine with other indicators** - RSI, MACD, or moving averages
5. **Practice on demo first** - Learn to recognize strong vs weak candles
### ❌ DON'T:
1. **Trade every candle** - Not all candles are worth trading
2. **Ignore volume** - A strong candle with low volume is suspicious
3. **Fight the trend** - Strong bearish candles in an uptrend might just be pullbacks
4. **Over-leverage** - Even strong signals can fail
---
## 📝 Quick Reference Cheat Sheet
```
STRONG CANDLE CHECKLIST:
□ Score 70+
□ RVOL > 1.5
□ Body Ratio > 60%
□ Close Position > 75% (bullish) or < 25% (bearish)
□ At key support/resistance level
WEAK CANDLE WARNING SIGNS:
□ Score < 40
□ RVOL < 0.7
□ Large wicks (> 30%)
□ Doji pattern
□ Small candle (ATR Ratio < 0.5)
```
---
## ⚠️ Important Disclaimers
1. **No indicator is 100% accurate** - Always use stop losses
2. **Past performance ≠ future results** - Markets change
3. **This is a tool, not a strategy** - Combine with other analysis
4. **Practice first** - Use paper trading before real money
---
## 🔔 Alerts Available
Set alerts for:
- Strong Bullish Candle (with volume confirmation)
- Strong Bearish Candle (with volume confirmation)
- Power Candle detected
- Marubozu detected
- High Volume Doji detected
---
## ❓ FAQ
**Q: Why are some candles missing labels?**
A: TradingView limits indicators to 500 labels. Use filters to see more history.
**Q: The label colors are hard to see. Can I change them?**
A: Yes! Go to Settings → Colors and customize all colors.
**Q: Should I only trade strong candles?**
A: Strong candles are MORE reliable, but not guaranteed. Always use proper risk management.
**Q: What timeframe works best?**
A: Works on all timeframes. Higher timeframes (4H, Daily) tend to have more reliable signals.
**Q: Can I use this for crypto/forex/stocks?**
A: Yes! This indicator works on any market with candlestick data and volume.
---
## 📚 Glossary
| Term | Definition |
|------|------------|
| **Bullish** | Price is going UP / Buyers are winning |
| **Bearish** | Price is going DOWN / Sellers are winning |
| **Doji** | Candle where open and close are nearly equal (indecision) |
| **Marubozu** | Candle with no wicks (full body) |
| **RVOL** | Relative Volume - current volume vs average |
| **ATR** | Average True Range - typical price movement |
| **Wick/Shadow** | The thin lines above/below the candle body |
| **Support** | Price level where buyers tend to step in |
| **Resistance** | Price level where sellers tend to step in |
| **Breakout** | When price moves beyond support/resistance |
---
**Happy Trading! 📈**
*Remember: The best traders are patient traders. Wait for strong setups.*
Composite Fear & Greed IndexComposite Fear & Greed Index
This is an advanced, professional-grade sentiment analysis engine designed to quantify market psychology. Unlike standard oscillators that rely on a single metric, this script uses a weighted composite of four distinct technical components to generate a holistic "Fear & Greed" score.
It includes Multi-Timeframe (MTF) capabilities, proprietary FOMO/Panic detection logic, and Zero-Lag trend analysis.
1. Unique Mathematical Methodology
This script is not a simple overlay of existing indicators. It uses a Composite Normalization Engine to blend four distinct metrics into a single, bounded 0-100 oscillator.
The "Mashup" Problem Solved: Standard indicators like MACD are "unbounded" (they can go to infinity), while RSI is "bounded" (0-100). You cannot simply average them.
Our Solution: This script calculates the Z-Score of the MACD histogram relative to its historical deviation and normalizes it into a 0-100 percentile. This allows for a mathematically valid combination with RSI and Bollinger Bands.
The Component Logic:
Momentum (RSI): (Weight: 30%) Pure price velocity.
Volatility (Bollinger %B): (Weight: 25%) Relative position within volatility bands.
Trend Strength (Normalized MACD): (Weight: 25%) Uses the custom Z-Score logic described above.
Trend Integrity (ZLEMA): (Weight: 20%) We replaced the standard SMA with a custom Zero-Lag Exponential Moving Average (ZLEMA) algorithm. This removes the "lag" associated with traditional sentiment analysis, allowing the index to react to crypto volatility in real-time.
The Calculation: These raw values are weighted and smoothed to produce the final Index Value.
Greater than 80: Extreme Greed (High risk of reversal)
Less than 20: Extreme Fear (Potential accumulation zone)
2. Unique Features
A. FOMO & Panic Event Detection The script does not just track price; it tracks behavior.
FOMO (Fear Of Missing Out): Triggered when Price breaks the Upper Bollinger Band + RSI is Overbought + Volume spikes > 2.5x the average. This often marks local tops.
PANIC: Triggered when Price drops significantly in one bar + Volume spikes > 3.0x the average + RSI is Oversold. This often marks capitulation bottoms.
B. Divergence Detection The script automatically detects and plots Regular Bullish and Bearish divergences between Price and the Sentiment Index.
Bullish Divergence: Price makes a Lower Low, but Sentiment makes a Higher Low (indicating waning selling pressure).
Bearish Divergence: Price makes a Higher High, but Sentiment makes a Lower High (indicating waning buying pressure). Note: The script plots these signals precisely on the indicator line corresponding to the pivot point.
C. Multi-Timeframe (MTF) Engine Users can view the "Daily" sentiment score while trading on a 5-minute or 15-minute chart. This allows scalpers to align their trades with the higher-timeframe market psychology.
3. Usage Guide
Step 1: Trend Alignment Look at the dashboard or the main line color. Green indicates Greed/Uptrend, Red indicates Fear/Downtrend.
Step 2: Extremes
Sell/Take Profit: When the Index crosses 80 (Extreme Greed) or a "FOMO" triangle appears.
Buy/Long: When the Index crosses 20 (Extreme Fear) or a "PANIC" triangle appears.
Step 3: Confirmation Use the Divergence Dots as confirmation. A "Panic" signal followed by a "Bullish Divergence" dot is a high-probability reversal setup.
Settings
Timeframe: Select the MTF resolution (default is Chart).
Weights: You can adjust the influence of RSI, MACD, BB, or Trend to fit your specific asset class.
Visuals: Fully customizable colors, table position, and toggle switches for shapes/backgrounds.
Disclaimer: This script is for informational purposes only and does not constitute financial advice.
Sistema Neutro GOULART HUD Regime Radar ORB VWAPSistema Neutro GOULART is an advanced visual trading indicator that integrates:
• A unified HUD displaying session status, ORB, VWAP, risk and market bias
• A Regime Radar heatmap (GO / WAIT / NO) designed to provide clarity without chart clutter
• ORB with straight daily lines and a clean zone limited to the current session
• Direction filtering using VWAP and VWAP slope
• Condition assessment based on risk and overall market context
• A harmonized visual design focused on objective decision-making
⚠️ This indicator does NOT generate trade signals.
It provides market context, regime classification, and quality assessment to support discretionary trading decisions.
Ideal for:
• Futures markets (ES, NQ, YM)
• Day trading using ORB + VWAP
• Traders who prioritize context, discipline, and structure over signals
For educational purposes only.
BTC - Metcalfes Law (Deviation)Title: BTC – Metcalfe's Law (Deviation) | RM
Overview & Philosophy
The BTC – Metcalfe's Law (Deviation) is a fundamental valuation oscillator that answers one of the most important questions in network economics: "Is the current price justified by the number of active users?" Metcalfe's Law states that the value of a network is proportional to the square of the number of its connected users (Value = Users squared). In the context of Bitcoin, this means that as the number of active addresses grows linearly, the network's fair value should grow exponentially.This script identifies periods where Bitcoin’s market capitalization has become "overextended" or "undervalued" relative to its actual network activity.
Methodology
The indicator performs a rolling log-log regression (Ordinary Least Squares) between Bitcoin's Market Cap and its Active Address count over a 730-day (2-year) window.
1. The Regression: The script calculates the statistical relationship: ln(Market Cap) = alpha + beta * ln(Active Addresses)
2. Pure Metcalfe vs. Generalized Metcalfe:
• Pure Metcalfe (Beta=2): By default, the script enforces a slope of 2.0, adhering to the classic mathematical law.
• Dynamic Fit: Users can disable the "Enforce Metcalfe" setting to let the model find the best historical fit (often resulting in a Beta between 1.5 and 1.8).
3. The Deviation (The Signal):
The resulting line represents the Log-Deviation from Fair Value.
• A value of 0.0 means Bitcoin is priced exactly according to its network utility.
• Positive values indicate a "valuation premium".
• Negative values indicate a "valuation discount".
How to Read the Chart
🔴 The Red Zone (Overvaluation > 1.0)
Meaning: The Market Cap has outpaced the growth of active users. Historically, these peaks represent speculative bubbles or cycle tops where price is driven by hype rather than utility.
🟢 The Green Zone (Undervaluation < -0.25)
Meaning: The network is being utilized, but the price has crashed below its fundamental support. Historically, these "Utility Floors" have marked the most profitable accumulation zones in Bitcoin’s history.
🟠 The Orange Line (Fair Value Transition)
Meaning: The market is in a healthy growth phase, moving in lockstep with user adoption.
Strategy & Interpretation
This tool is a Macro Compass . It is designed to help investors stay objective during periods of extreme market emotion.
• In a Bull Market: Watch for the deviation to hit the Red Zone. This is your signal that the "Network Utility" can no longer support the price, and a major correction is likely imminent.
• In a Bear Market: Look for the "Green Floor." When the price stays below the -0.25 level despite stable user activity, it suggests a massive mismatch between value and price—a classic buy signal.
Settings
• Regression Window (Default: 730 Days): Chosen to capture mid-to-long term cycle trends. Adjust to shorter timeframes for more dynamic behavior or longer timeframes (like 1460 Days) to catch longer cycles.
• Enforce Metcalfe: Toggle between the classic law (Beta=2) and a dynamic fit.
• Smoothing: A 30-day SMA is applied to active addresses to filter out daily "jitter."
Credits
• Robert Metcalfe: For the original law of network utility.
• Willy Woo & Greg Wheatley: For their pioneering work in applying Metcalfe's Law specifically to Bitcoin's valuation.
Important Data Requirement
To function, this indicator requires a data feed for Active Addresses . By default, it is set to GLASSNODE:BTC_ACTIVEADDRESSES . Please Note: On-chain data usually requires a premium vendor subscription on TradingView (e.g., Glassnode, IntoTheBlock, or CryptoQuant). If you do not have a subscription, the indicator will display a "Missing Data" warning.
⚠️ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
Disclaimer
This script is for research and educational purposes only. It relies on third-party on-chain data. Fundamental valuation is only one piece of the puzzle; market dynamics can remain irrational longer than metrics can predict.
Tags
bitcoin, btc, on-chain, metcalfe, adoption, fundamental, valuation, active addresses, cycle, Rob Maths
CVD & Big Trade Detector By HKOverview The CVD & Big Trade Detector By HK offers a unique perspective on Cumulative Volume Delta (CVD). This indicator utilizes Floating Bars (Candles) to visualize the cumulative buying and selling pressure. This design allows you to clearly see the net delta of each specific candle relative to the cumulative trend.
Additionally, it integrates the "Big Trade" algorithm to highlight statistically significant volume anomalies (Whale activity) directly on the CVD bars.
How it Works Since standard volume data does not always provide buy/sell splitting, this script estimates intrabar pressure using price action logic:
Buying Pressure: Calculated based on the push from the Low to the Close.
Selling Pressure: Calculated based on the push from the High to the Close.
The indicator then calculates the Delta (Buy Vol - Sell Vol) and accumulates it.
Floating Bars: Instead of plotting from the zero-line, each bar opens at the previous CVD value and closes at the new cumulative value.
Teal/Green Bar: Net buying in the current period (CVD increased).
Maroon/Red Bar: Net selling in the current period (CVD decreased).
Key Features
Floating CVD Structure: Prevents the "barcode effect" common in histogram CVDs. It provides a clean, candle-like view of momentum accumulation.
Whale Detection:
The script calculates the moving average and standard deviation (Sigma) of the buying/selling volume.
Green Dots: Appear when buying volume exceeds the statistical threshold (Signifying a "Big Buy").
Red Dots: Appear when selling volume exceeds the statistical threshold (Signifying a "Big Sell").
Precise Positioning: Whale markers are plotted exactly at the closing value of the CVD bar, showing you exactly where the volume spike impacted the delta.
How to Use
Divergences: Look for situations where Price makes a Higher High, but the CVD Bars fail to make a new high (bearish divergence).
Absorption: If you see a Large Whale Dot on a very small CVD bar (doji-like), it indicates massive volume fighting for direction with little net result—often a sign of absorption or a pending reversal.
Trend Confirmation: Strong floating bars in the direction of the trend, accompanied by Whale Dots, confirm smart money participation.
Settings
Lookback Period: Defines the baseline for the statistical volume calculation (default: 50).
Sensitivity (Sigma): Adjusts how strict the "Whale" detection is (default: 3.0). Higher values = fewer, more significant signals.
Colors: Fully customizable colors for Up/Down bars and Buy/Sell markers.
Built with Pine Script™ v6
CandelaCharts - Composite Pressure Index 📝 Overview
The CandelaCharts – Composite Pressure Index (CPI) is a multi-factor oscillator that blends RSI , Money Flow Index (MFI) , and Chaikin Money Flow (CMF) into a single, stretchable “pressure” line. Instead of looking at three separate indicators, CPI compresses price momentum and volume flow into one normalized curve around 0 , then amplifies extremes using a rolling z-score .
The result is a dynamic gauge of buying vs. selling pressure that can travel beyond ±1 during strong regime shifts, helping you spot exhaustion, climaxes, and trend-strength phases more intuitively.
📦 Features
Composite pressure engine – Combines RSI, MFI, and CMF into a single normalized oscillator around 0, giving you a unified view of market pressure.
Custom weighting of components – Independently weight RSI, MFI, and CMF to prioritize pure price momentum or volume-driven signals.
Rolling z-score stretch – Uses a configurable z-score window to “stretch” the composite values, letting the line exceed ±1 during extremes instead of staying capped.
Adaptive amplitude control – An amplitude (gain) factor lets you scale how aggressive or subtle the CPI swings appear.
EMA smoothing – Optional smoothing removes noise while preserving the timing of swings and reversals.
Visual pressure band – Zero, +1, and -1 reference lines with a shaded band make it easy to see when pressure is “normal” vs. extended.
Dynamic color gradients – Warm/orange tones above 0 for bullish pressure and cool/blue tones below 0 for bearish pressure, with saturation increasing as pressure intensifies.
NA-safe statistics – Custom mean and standard deviation routines ensure stable behavior from the start of the chart and during partial history.
⚙️ Settings
RSI Length : Lookback length for RSI . Higher values smooth the RSI component; lower values make it more reactive to short-term price momentum.
MFI Length : Lookback length for the manual Money Flow Index . Adjust this to control how sensitive CPI is to price–volume interaction.
CMF Length : Lookback length for Chaikin Money Flow . This defines the window used to assess accumulation/distribution through volume flow.
RSI Weight : Relative importance of RSI within the composite. Increasing this emphasizes pure price momentum in the CPI.
MFI Weight : Relative importance of MFI. Higher values strengthen the influence of volume-weighted price moves.
CMF Weight : Relative importance of CMF. Raising this highlights accumulation/distribution as a driver of the pressure index.
Smoothing : EMA length applied to the stretched CPI line. A value of 1 effectively disables smoothing, while higher values reduce noise at the cost of a slight lag.
Z-score Window : Rolling window used to compute the mean and standard deviation of the raw composite. This defines the statistical context for what counts as “extreme”. Shorter windows adapt faster; longer windows give a more stable regime.
Amplitude : Gain factor applied to the z-scored composite. Values above 1.0 exaggerate swings and make extremes more visually pronounced; values below 1.0 compress them.
⚡️ Showcase
Composite Pressure Index
Mean Line
Divergences
📒 Usage
1. Identify directional pressure regimes
Use 0 as the key balance line:
CPI > 0 → Net bullish pressure (buyers in control).
CPI < 0 → Net bearish pressure (sellers in control).
You can treat prolonged stays above or below 0 as confirmations of trend direction, especially when price structure agrees.
2. Read statistical extremes instead of fixed levels
Because CPI is stretched via a z-score , values beyond ±1 typically represent statistically meaningful extremes within your chosen window:
CPI > +1 → Overextended bullish pressure / potential euphoria.
CPI < -1 → Overextended bearish pressure / potential capitulation.
These zones are not automatic reversal signals, but they highlight areas where monitoring for exhaustion, blow-offs, or risk-reward shifts can be beneficial.
3. Spot divergences with price
Classic divergence logic applies particularly well when pressure is composite:
Bearish divergence – Price makes higher highs, but CPI makes lower highs or fails to confirm.
Bullish divergence – Price makes lower lows, but CPI makes higher lows or shows less downside extension.
These patterns can be integrated with support/resistance, liquidity levels, and other CandelaCharts tools.
4. Tune the weights to your strategy
Adjust the three weights to match your focus:
Higher RSI weight → More sensitivity to pure price momentum (good for breakout or trend-following systems).
Higher MFI weight → Greater emphasis on price–volume interaction (ideal for spotting volume-confirmed moves).
Higher CMF weight → Stronger focus on accumulation/distribution (helpful for swing and position traders).
5. Integrate with existing setups
The CPI is designed to sit comfortably below price:
Use it as a “context” oscillator underneath your main price-action and liquidity models.
Combine CPI extremes and divergences with key levels, range models, or order flow signals for higher-confluence entries.
🚨 Alerts
The indicator does not provide any alerts!
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
GME Warrant Tracker [theUltimator5]The GME Warrant Tracker was designed to be used for GME warrants tracking. The theory behind this indicator is that warrants are priced similarly to options and generally follow the same Greeks. With that assumption, we can break down the price of the warrants by using known Greeks to estimate either the theoretical price, or even estimate Implied Volatility (IV).
The base settings for this indicator plot the calculated IV, the theoretical price (there are multiple methods of calculation which I will discuss later) and the current warrant price.
You can toggle on or off all of these plots to display only what you want to track.
For example, you can simply track the difference between the theoretical price and the current price to see if warrants are trading at a premium or a discount vs what the indicator calculates it to be.
Calculating implied volatility is extremely difficult and must be approximated.
The theoretical warrant price produced by this indicator depends primarily on the volatility input (σ) used in the Black–Scholes pricing model.
This script supports five distinct methods for approximating σ, each extracting different information from the market.
1) Close-to-Close Historical Volatility
Close-to-Close computes the standard deviation of daily close-to-close returns and uses a lookback window scaled to time-to-expiry. As the expiration approaches, the lookback window tightens, giving a more responsive volatility approximation relative to time-to-expiry.
This option produces conservative approximations for volatility, and may lag actual volatility intraday.
2) Parkinson High-Low Volatility
Parkinson High-Low volatility uses daily high and low prices to calculate intraday trading range for a more responsive estimation to volatility. It ignores opening and close gaps, so overnight volatility is not accounted for.
This option produces higher theoretical volatility during choppy price action and can over estimate actual volatility.
3) Garman–Klass Volatility
Garman–Klass volatility is a way to estimate how much price is fluctuating by using the open, high, low, and close for each period. Because it draws on multiple intraperiod price points (not just the range or close-to-close moves), it typically produces a tighter, more informative volatility estimate than simpler approaches. It’s often most helpful when gaps occur and when the open and close carry meaningful information about the session’s trading.
4)Yang–Zhang Volatility
The Yang–Zhang volatility estimator is designed to account for both opening jumps and price drift. It estimates volatility by combining overnight (close-to-open) variance, intraday (open-to-close) variance, and a weighted Rogers–Satchell component using OHLC data, often yielding a more robust measure than simpler close-to-close style estimators.
5) Option price
By default, the indicator uses the call option strike dated closest to the warrant expiration date. Since the Greeks for both the warrants and the
options are assumed to be equivalent with a minor difference in theta (time-to-expiry), the theoretical price of the warrants closely matches the trade price of the call strike chosen.
There is a table that can be enabled (off by default because it is large and fills entire screen on mobile) which shows all the configuration settings and Greeks.
You can also manually adjust the "dilution" factor for the warrants, which shifts the number of active warrants and moves the count into the shares outstanding for the underlying (GME). The reason for this is that as warrants get exercised, the total quantity of warrants in circulation decreases and the the total quantity of shares outstanding increases.
Since this indicator was built around the single warrant, ticker NYSE: GME/W, it is only meant to be used with NYSE:GME. Any other ticker will not work properly with this indicator.
First presented FVG (w/stats) w/statistical hourly ranges & biasOverview
This indicator identifies the first Fair Value Gap (FVG) that forms during each hourly session and provides comprehensive statistical analysis based on 12 years of historical NASDAQ (NQ) data. It combines price action analysis with probability-based statistics to help traders make informed decisions.
⚠️ IMPORTANT - Compatibility
Market: This indicator is designed exclusively for NASDAQ futures (NQ/MNQ)
Timeframe: Statistical data is based on FVGs formed on the 5-minute timeframe
FVG Detection: Works on any timeframe, but use 5-minute for accuracy matching the statistical analysis
All hardcoded statistics are derived from 12 years of NQ historical data
What It Does
1. FVG Detection & Visualization
Automatically detects the first FVG (bullish or bearish) that forms each hour
Draws colored boxes around FVGs:
Blue boxes = Bullish FVG (gap up)
Red boxes = Bearish FVG (gap down)
FVG boxes extend to the end of the hour
Optional midpoint lines show the center of each FVG
Uses volume imbalance logic (outside prints) to refine FVG boundaries
2. Hourly Reference Lines
Vertical Delimiter: Marks the start of each hour
Hourly Open Line: Shows where the current hour opened
Expected Range Lines: Projects the anticipated high/low based on historical data
Choose between Mean (average) or Median (middle value) statistics
Upper range line (teal/green)
Lower range line (red)
All lines span exactly one hour from the moment it opens
Optional labels show price values at line ends
3. Real-Time Statistics Table
The table displays live data for the current hour only:
Hour: Current hour in 12-hour format (AM/PM)
FVG Status: Shows if a Bull FVG, Bear FVG, or no FVG has formed yet
Green background = Bullish FVG detected
Red background = Bearish FVG detected
1st 15min: Direction of the first 15 minutes (Bullish/Bearish/Neutral/Pending)
Continuation %: Historical probability that the hour continues in the first 15-minute direction
Color-coded: Green for bullish, red for bearish
Avg Range %: Expected percentage range for the current hour (based on 12-year mean)
FVG Effect %: Historical probability that FVG direction predicts hourly close direction
Shows BISI→Bull % for bullish FVGs
Shows SIBI→Bear % for bearish FVGs
Blank if no FVG has formed yet
Time Left: Countdown timer showing MM:SS remaining in the hour (updates in real-time)
Hourly Bias: Historical directional tendency (bullish % or bearish %)
H Open: Current hour's opening price
Exp Range: Projected price range (Low - High) based on historical average
Customization Options
Detection Settings:
Lower Timeframe Selection (15S, 1min, 5min) - controls FVG detection granularity
Display Settings:
FVG box colors (bullish/bearish)
Midpoint lines (show/hide, color, style)
Table Settings:
Position (9 locations: corners, edges, center)
Text size (Tiny, Small, Normal, Large)
Hourly Lines:
Toggle each line type on/off
Hour delimiter (color, width)
Open line (color, width, style)
Range lines (color, width, style)
Choose Mean or Median statistics for range calculation
Show/hide labels with customizable text size
How to Use
Apply to NQ futures chart (NQ1! or MNQ1!)
Set chart to 5-minute timeframe for optimal FVG detection matching the statistical data
Watch for the first FVG to form each hour
Reference the table for probability-based decision support:
High continuation % = strong directional bias
FVG Effect % shows reliability of the FVG signal
Time Left helps manage entries/exits within the hour
Use range lines as potential targets or reversal zones
Statistical Foundation
All statistics are derived from:
12 years of NASDAQ (NQ) historical data
Hourly analysis of FVG formation patterns
First 15-minute directional analysis
Mean and Median calculations for range expectations
Data encompasses 2,400+ samples per hour
Best Practices
✅ Use on NQ/MNQ futures only
✅ Best on 5-minute charts (matches statistical data)
✅ Combine FVG signals with continuation probabilities
✅ Use range lines as potential profit targets
✅ Watch the countdown timer for hour-end setups
❌ Do not use on other markets (statistics won't apply)
❌ Avoid using during low-liquidity hours (5PM ET has minimal data)
Technical Notes
Timezone: America/New_York (EST/EDT)
Weekend filtering: Automatically hides data during market closure
Updates in real-time on live bars
Maximum 500 boxes/lines for performance
FVG detection includes volume imbalance (body gap) refinement
Credits
Statistical analysis based on 12 years of NASDAQ historical data. FVG detection methodology follows ICT concepts with volume imbalance refinement.
Disclaimer: This indicator provides statistical analysis based on historical data. Past performance does not guarantee future results. Always use proper risk management.
Would you like me to adjust any section or add/remove anything?6-9 Session & Levels - Customizable Range Analysis Indicator
Description:
This indicator provides comprehensive session-based range analysis designed for intraday traders. It calculates and displays key levels based on a customizable session period (default 6:00-9:00 AM ET).
Core Features:
Sespastedthis is a summary for another indicator- i was hoping for something more like this in terms of content etc22:23Architected comprehensive indicator summary matching professional documentation style.The user wants me to rewrite the summary for their FVG indicator in a similar style to the example provided. The example is more structured, detailed, and professional. Let me create a comprehensive summary that follows that format:
Clear title
Description/Overview
Core Features (broken down into sections)
Input Settings Explained (detailed breakdown of all customization options)
How It Works section
Use Case
Note/Disclaimer
Let me make it thorough and match the style while being accurate to their indicator's functionality.Here's a detailed summary in that format:
Every Hour 1st FVG with Statistical Analysis - NASDAQ Hourly Trading Intelligence
Description:
This indicator identifies the first Fair Value Gap (FVG) that forms during each hourly session and provides comprehensive probability-based statistical analysis derived from 12 years of NASDAQ (NQ) historical data. It combines real-time FVG detection with hardcoded statistical probabilities to help intraday traders make informed decisions based on historical patterns and hourly price action dynamics.
IMPORTANT: This indicator is specifically calibrated for NASDAQ futures (NQ/MNQ) only. All statistical data is derived from 12 years of NQ historical analysis with FVGs detected on the 5-minute timeframe. Using this indicator on other markets will produce invalid statistical results.
Core Features:
FVG Detection & Visualization
Automatically detects and displays the first Fair Value Gap (bullish or bearish) that forms within each hourly session
Color-coded boxes mark FVG zones: Blue for bullish FVGs (gap up), Red for bearish FVGs (gap down)
FVG boxes extend precisely to the end of the hour boundary
Optional midpoint lines show the center point of each FVG
Uses volume imbalance logic (outside prints) to refine FVG boundaries beyond simple wick-to-wick gaps
Supports both chart timeframe detection and lower timeframe detection via request.security_lower_tf
Hourly Reference Lines
Vertical Hour Delimiter: Marks the exact start of each new hour with an extendable vertical line
Hourly Open Line: Displays the opening price of the current hour
Expected Range Lines: Projects anticipated high and low levels based on 12 years of statistical data
Choose between Mean (average) or Median (middle value) calculations
Upper range line shows expected high
Lower range line shows expected low
All lines span exactly one hour from open to close
Optional labels display exact price values at the end of each line
Real-Time Statistics Table
Displays comprehensive live data for the current hour only:
Hour: Current hour in 12-hour format (e.g., "9AM", "2PM")
FVG Status: Shows detection state with color coding
"None Yet" (white background) - No FVG detected
"Bull FVG" (green background) - Bullish FVG identified
"Bear FVG" (red background) - Bearish FVG identified
1st 15min: Direction of first 15 minutes (Bullish/Bearish/Neutral/Pending)
Continuation %: Historical probability that the hour closes in the direction of the first 15 minutes
Green background with up arrow (↑) for bullish continuation probability
Red background with down arrow (↓) for bearish continuation probability
Avg Range %: Expected percentage range for the current hour based on 12-year mean
FVG Effect %: Historical effectiveness of FVG directional prediction
Shows "BISI→Bull %" for bullish FVGs (gap up predicting bullish hourly close)
Shows "SIBI→Bear %" for bearish FVGs (gap down predicting bearish hourly close)
Displays blank if no FVG has formed yet
Time Left: Real-time countdown timer showing minutes and seconds remaining in the hour (MM:SS format)
Hourly Bias: Historical directional tendency showing bullish or bearish percentage bias
H Open: Current hour's opening price
Exp Range: Projected price range showing "Low - High" based on selected statistic (mean or median)
Input Settings Explained:
Detection Settings
Lower Timeframe: Select the base timeframe for FVG detection
Options: 15S (15 seconds), 1 (1 minute), 5 (5 minutes)
Recommendation: Use 5-minute to match the statistical data sample
The indicator uses this timeframe to scan for FVG patterns even when viewing higher timeframes
Display Settings
Bullish FVG Color: Set the color and transparency for bullish (upward) FVG boxes
Bearish FVG Color: Set the color and transparency for bearish (downward) FVG boxes
Show Midpoint Lines: Toggle horizontal lines at the center of each FVG box
Midpoint Line Color: Customize the midpoint line color
Midpoint Line Style: Choose between Solid, Dotted, or Dashed line styles
Table Settings
Table Position: Choose from 9 locations:
Top: Left, Center, Right
Middle: Left, Center, Right
Bottom: Left, Center, Right
Table Text Size: Select from Tiny, Small, Normal, or Large for readability on different screen sizes
Hourly Lines Settings
Show Hourly Lines: Master toggle for all hourly reference lines
Show Hour Delimiter: Toggle the vertical line marking each hour's start
Delimiter Color: Customize color and transparency
Delimiter Width: Set line thickness (1-5)
Show Hourly Open: Toggle the horizontal line at the hour's opening price
Open Line Color: Customize color
Open Line Width: Set thickness (1-5)
Open Line Style: Choose Solid, Dashed, or Dotted
Show Range Lines: Toggle the expected high/low projection lines
Range Statistic: Choose "Mean" (12-year average) or "Median" (12-year middle value)
Range High Color: Customize upper range line color and transparency
Range Low Color: Customize lower range line color and transparency
Range Line Width: Set thickness (1-5)
Range Line Style: Choose Solid, Dashed, or Dotted
Show Line Labels: Toggle price labels at the end of all horizontal lines
Label Text Size: Choose Tiny, Small, or Normal
How It Works:
FVG Detection Logic:
The indicator scans price action on the selected lower timeframe (default: 1-minute) looking for Fair Value Gaps using a 3-candle pattern:
Bullish FVG: Formed when candle 's high is below candle 's low, creating an upward gap
Bearish FVG: Formed when candle 's low is above candle 's high, creating a downward gap
The detection is refined using volume imbalance logic by checking for body gaps (outside prints) on both sides of the middle candle. This narrows the FVG zone to areas where bodies don't touch, indicating stronger imbalances.
Only the first FVG that forms during each hour is displayed. If a bullish FVG forms first, it takes priority. The FVG box is drawn from the formation time through to the end of the hour.
Statistical Analysis:
All probability statistics are hardcoded from 12 years (2,400+ samples per hour) of NASDAQ futures analysis:
First 15-Minute Direction: At 15 minutes into each hour, the indicator determines if price closed above, below, or equal to the hour's opening price
Continuation Probability: Historical analysis shows the likelihood that the hour closes in the same direction as the first 15 minutes
Example: If 9AM's first 15 minutes are bullish, there's a 60.1% chance the entire 9AM hour closes bullish (lowest continuation hour)
4PM shows the highest continuation at 86.1% for bullish first 15 minutes
FVG Effectiveness: Tracks how often the first FVG's direction correctly predicts the hourly close direction
BISI (Bullish Imbalance/Sell-side Inefficiency) → Bullish close probability
SIBI (Bearish Imbalance/Buy-side Inefficiency) → Bearish close probability
Range Expectations: Mean and median values represent typical price movement percentage for each hour
9AM and 10AM show the largest ranges (~0.6%)
5PM shows minimal range (~0.06%) due to low liquidity
Hourly Reference Lines:
When each new hour begins:
Vertical delimiter marks the hour's start
Hourly open line plots at the first bar's opening price
Range projection lines calculate expected high/low:
Upper Range = Hourly Open + (Range% / 100 × Hourly Open)
Lower Range = Hourly Open - (Range% / 100 × Hourly Open)
Lines extend exactly to the hour's end time
Labels appear at line endpoints showing exact prices
Real-Time Updates:
FVG Status: Updates immediately when the first FVG forms
First 15min Direction: Locked in at the 15-minute mark
Countdown Timer: Uses timenow to update every second
Table Statistics: Refresh on every bar close
Timezone Handling:
All times are in America/New_York (Eastern Time)
Automatically filters weekend periods (Saturday and Sunday before 6PM)
Hour detection accounts for daylight saving time changes
Use Cases:
Intraday Trading Strategy Development:
FVG Entry Signals: Use the first hourly FVG as a directional bias
Bullish FVG + High continuation % = Strong long setup
Bearish FVG + High continuation % = Strong short setup
First 15-Minute Breakout: Combine first 15-min direction with continuation probabilities
Wait for first 15 minutes to complete
If continuation % is above 70%, trade in that direction
Example: 4PM bullish first 15 min = 86.1% chance hour closes bullish
Range Targeting: Use expected high/low lines as profit targets or reversal zones
Price approaching mean high = potential resistance
Price approaching mean low = potential support
Compare mean vs median for different risk tolerance (median is more conservative)
Hour Selection: Focus trading on hours with:
High FVG effectiveness (11AM: 81.5% BISI→Bull)
High continuation rates (4PM: 86.1% bull continuation)
Avoid low-continuation hours like 9AM (60.1%)
Time Management: Use the countdown timer to:
Enter early in the hour when FVG forms
Exit before hour-end if no follow-through
Avoid late-hour entries with <15 minutes remaining
Statistical Edge Identification:
Compare current hour's FVG against historical effectiveness
Identify when first 15-min direction contradicts FVG direction (conflict = caution)
Use hourly bias to confirm or contradict FVG signals
Monitor if price stays within expected range or breaks out (outlier moves)
Risk Management:
Expected range lines provide logical stop-loss placement
FVG Effect % helps size positions (higher % = larger position)
Time Left countdown aids in time-based stop management
Avoid trading hours with neutral bias or low continuation rates
Statistical Foundation:
All embedded statistics are derived from:
12 years of NASDAQ futures (NQ) continuous contract data
5-minute timeframe FVG detection methodology
24 hours per day analysis (excluding weekends)
2,400+ samples per hour for robust statistical validity
America/New_York timezone for session alignment
Data includes:
Hourly range analysis (mean, median, standard deviation)
First 15-minute directional analysis
FVG formation frequency and effectiveness
Continuation probability matrices
Bullish/bearish bias percentages
Best Practices:
✅ Do:
Use exclusively on NASDAQ futures (NQ1! or MNQ1!)
Apply on 5-minute charts for optimal FVG detection matching statistical samples
Wait for first 15 minutes to complete before acting on continuation probabilities
Combine FVG signals with continuation % and FVG Effect % for confluence
Use expected range lines as initial profit targets
Monitor the countdown timer for time-based trade management
Focus on hours with high statistical edges (4PM, 11AM, 10AM)
❌ Don't:
Use on other markets (ES, RTY, YM, stocks, forex, crypto) - statistics will be invalid
Rely solely on FVG without confirming with continuation probabilities
Trade during low-liquidity hours (5PM shows only 0.06% average range)
Ignore the first 15-minute direction when it conflicts with FVG direction
Apply to timeframes significantly different from 5-minute for FVG detection
Use median range expectations aggressively (they're conservative)
Technical Implementation Notes:
Timezone: Fixed to America/New_York with automatic DST adjustment
Weekend Filtering: Automatically hides data Saturday and Sunday before 6PM ET
Performance: Maximum 500 boxes and 500 lines for optimal chart rendering
Update Frequency: Table updates on every bar close; timer updates every second using timenow
FVG Priority: Bullish FVGs take precedence when both form simultaneously
Lower Timeframe Detection: Uses request.security_lower_tf for accurate sub-chart-timeframe FVG detection
Precision: All price labels use format.mintick for appropriate decimal precision
Big thanks to @Trades-Dont-Lie for the FPFVG code in his excellent indicator that I've used here
