Correlation Coefficient with MA & BB中文版介紹
相關係數、移動平均線與布林帶指標 (Correlation Coefficient with MA & BB)
這個 Pine Script 指標是一款強大的工具，旨在幫助交易者和投資者深入分析兩個市場標的之間的關係強度與方向，並結合移動平均線 (MA) 和布林帶 (BB) 來進一步洞察這種關係的趨勢和波動性。
無論您是想尋找配對交易機會、管理投資組合風險，還是僅僅想更好地理解市場動態，這個指標都能提供有價值的見解。
指標特色與功能：
動態相關係數計算：
您可以選擇任何您想比較的股票、商品或加密貨幣代號（例如，預設為 GOOG）。
指標會自動計算當前圖表（主數據源，預設為收盤價）與您指定標的之間的相關係數。
相關係數值介於 -1 (完美負相關) 至 1 (完美正相關) 之間，0 表示無線性關係。
視覺化呈現相關係數線，並標示 1、0、-1 參考水平線，同時填充完美相關區間，讓您一目了然。
特別之處：程式碼中包含了 ticker.modify，確保比較標的數據考慮了股息調整或延長交易時段，使相關性分析更加精準。
相關係數的移動平均線 (MA)：
為了平滑相關係數的短期波動，指標提供了多種移動平均線類型供您選擇，包括：SMA、EMA、WMA、SMMA。
您可以設定計算 MA 的週期長度（預設 20 週期）。
這條 MA 線有助於識別相關係數的長期趨勢，判斷兩者關係是趨於增強還是減弱。
相關係數的布林帶 (BB)：
將布林帶應用於相關係數，以衡量其波動性和相對高低水平。
中軌與您選擇的移動平均線保持一致。
上軌和下軌則根據相關係數的標準差和您設定的 Z 值（預設 2.0 倍標準差）動態調整。
布林帶可以幫助您識別相關係數何時處於極端水平，可能預示著未來會回歸均值。
如何運用這個指標？
配對交易策略：當兩個通常高度相關的資產，其相關係數短期內顯著偏離平均水平（例如，一個資產價格上漲而另一個原地踏步），您可能可以考慮利用此「失衡」進行配對交易。
投資組合多元化：了解不同資產之間的相關性，有助於構建更穩健的投資組合，避免過度集中於同向變動的資產，有效分散風險。
市場趨勢洞察：透過觀察相關係數的趨勢和波動，您可以更好地理解不同市場板塊或資產類別之間的聯動性，為您的宏觀經濟分析提供數據支持。
請注意，相關性不等於因果性。使用此指標時，請結合您的整體交易策略、宏觀經濟分析以及其他技術指標進行綜合判斷。
English Version Introduction
Correlation Coefficient with Moving Average & Bollinger Bands Indicator (Correlation Coefficient with MA & BB)
This Pine Script indicator is a powerful tool designed to help traders and investors deeply analyze the strength and direction of the relationship between two market instruments. It integrates Moving Averages (MA) and Bollinger Bands (BB) to further insight into the trend and volatility of this relationship.
Whether you're looking for pair trading opportunities, managing portfolio risk, or simply aiming to better understand market dynamics, this indicator can provide valuable insights.
Indicator Features & Functionality:
Dynamic Correlation Coefficient Calculation:
You can select any symbol you wish to compare (e.g., default is GOOG), be it stocks, commodities, or cryptocurrencies.
The indicator automatically calculates the correlation coefficient between the current chart (main data source, default is close price) and your specified symbol.
Correlation values range from -1 (perfect negative correlation) to 1 (perfect positive correlation), with 0 indicating no linear relationship.
It visually plots the correlation line, marks 1, 0, -1 reference levels, and fills the perfect correlation zone for clear visualization.
Special Feature: The code includes ticker.modify, ensuring that the comparative symbol's data accounts for dividend adjustments or extended trading hours, leading to more precise correlation analysis.
Moving Average (MA) for Correlation:
To smooth out short-term fluctuations in the correlation coefficient, the indicator offers multiple MA types for you to choose from: SMA, EMA, WMA, SMMA.
You can set the length of the MA period (default 20 periods).
This MA line helps identify the long-term trend of the correlation coefficient, indicating whether the relationship between the two instruments is strengthening or weakening.
Bollinger Bands (BB) for Correlation:
Bollinger Bands are applied to the correlation coefficient itself to gauge its volatility and relative high/low levels.
The middle band aligns with your chosen Moving Average.
The upper and lower bands dynamically adjust based on the correlation coefficient's standard deviation and your set Z-score (default 2.0 standard deviations).
Bollinger Bands can help you identify when the correlation coefficient is at extreme levels, potentially signaling a future reversion to the mean.
How to Utilize This Indicator:
Pair Trading Strategies: When two typically highly correlated assets show a significant short-term deviation from their average correlation (e.g., one asset's price rises while the other stagnates), you might consider exploiting this "imbalance" for pair trading.
Portfolio Diversification: Understanding the correlation between different assets helps build a more robust investment portfolio, preventing over-concentration in co-moving assets and effectively diversifying risk.
Market Trend Insight: By observing the trend and volatility of the correlation coefficient, you can better understand the联动 (interconnectedness) between different market sectors or asset classes, providing data support for your macroeconomic analysis.
Please note that correlation does not imply causation. When using this indicator, combine it with your overall trading strategy, macroeconomic analysis, and other technical indicators for comprehensive decision-making.
在腳本中搜尋"imbalance"
Fair Value Gap Profiles [AlgoAlpha]🟠 OVERVIEW
This script draws and manages Fair Value Gap (FVG) zones by detecting unfilled gaps in price action and then augmenting them with intra-gap volume profiles from a lower timeframe. It is designed to help traders find potential areas where price may return to fill liquidity voids, and to provide extra detail about volume distribution inside each gap to assess strength and likely mitigation. The script automatically tracks each gap, updates its state over time, and can show which gaps are still unfilled or have been mitigated.
🟠 CONCEPTS
A Fair Value Gap is a zone between candles where no trades occurred, often seen as an inefficiency that price later revisits. The script checks each bar to see if a bullish (low above 2-bars-ago high) or bearish (high below 2-bars-ago low) gap has formed, and measures whether the gap’s size exceeds a threshold defined by a volatility-adjusted multiplier of past gap widths (to only detect significantly large gaps). Once a qualified gap is found, it gets recorded and visualized with a box that can stretch forward in time until filled. To add more context, a mini volume profile is built from a lower timeframe’s price and volume data, showing how volume is distributed inside the gap. The lowest-volume subzone is also highlighted using a sliding window scan method to visualise the true gap (area with least trading activity)
🟠 FEATURES
Visual gap boxes that appear automatically when bullish or bearish fair value gaps are detected on the chart.
Color-coded zones showing bullish gaps in one color and bearish gaps in another so you can easily see which side the gap favors.
Volume profile histograms plotted inside each gap using data from a lower timeframe, helping you see where volume concentrated inside the gap area.
Highlight of the lowest-volume subzone within each gap so you can spot areas price may target when filling the gap.
Dynamic extension of the gap boxes across the chart until price comes back and fills them, marking them as mitigated.
Customizable colors and transparency settings for gap boxes, profiles, and low-volume highlights to match your chart style.
Alerts that notify you when a new gap is created or when price fills an existing gap.
🟠 USAGE
This indicator helps you find and track unfilled price gaps that often act as magnets for price to revisit. You can use it to spot areas where liquidity may rest and plan entries or exits around these zones.
The colored gap boxes show you exactly where a fair value gap starts and ends, so you can anticipate potential pullbacks or continuations when price approaches them.
The intra-gap volume profile lets you gauge whether the gap was created on strong or thin participation, which can help judge how likely it is to be filled. The highlighted lowest-volume subzone shows where price might accelerate once inside the gap.
Traders often look for entries when price returns to a gap, aiming for a reaction or reversal in that area. You can also combine the mitigation alerts with your trade management to track when gaps have been closed and adjust your bias accordingly. Overall, the tool gives a clear visual reference for imbalance zones that can help structure trades around supply and demand dynamics.
Price Ranged FVG📌 Price Ranged FVG
Is a clean and efficient tool designed to detect Fair Value Gaps (FVGs) with adjustable filters and structural context. It’s especially useful for traders looking to filter out insignificant gaps and focus on high-probability areas, particularly around swing breaks or structural shifts.
🧠 What is a Fair Value Gap (FVG)?
A Fair Value Gap appears when there’s a price imbalance between candles — typically after a strong move — where the market skips over certain price levels without trading there. These zones can act as potential areas for price to return to (mean reversion), or serve as support/resistance depending on market structure.
🔍 FVG Detection Types
You can choose between three different detection modes under the "FVG Detection" input:
Same Type: Only detects FVGs where the last 3 candles are in the same direction (all bullish or all bearish).
All: Detects any FVG, regardless of candle direction.
Twin Close: Detects FVGs only when the last two candles are in the same direction and close accordingly — offering a stricter confirmation.
🎯 FVG % Filters
To filter out noise or insignificant gaps, this indicator includes:
Minimum FVG % Filter: Ignores FVGs smaller than your specified percentage of the current close.
Maximum FVG % Filter: Ignores overly large gaps that may be unreliable or caused by anomalies.
These filters help focus on relevant FVGs that are more likely to act as reaction zones.
🏛 Structural Context (Swing Highs and Lows)
The indicator plots swing highs and swing lows with dots to provide structure-based context:
Set Swing Strength to 3 for detecting internal structure (shorter-term moves).
Use a higher setting like 5 to focus on external structure (more significant highs/lows).
These levels can help you determine whether an FVG is forming within a consolidation, breakout, or key structural transition.
✅ Use Case (My Personal Workflow)
I personally use this indicator to:
Filter out weak or irrelevant FVGs using the % filters.
Watch for price interaction at swing breaks — especially when an FVG aligns with a break in internal or external structure.
Refine entry and exit planning in confluence with other tools or strategies.
⚠️ Disclaimer
This indicator is not financial advice. It is a technical analysis tool intended to support your own decision-making process. Always do your own research and risk management.
Fair Value Gap [Custom]📌 FVG Indicator – Smart Money Concepts Tool
This script is based on Smart Money Concepts (SMC) and automatically detects and marks Fair Value Gaps (FVG) on the chart, helping traders identify unbalanced price areas left behind by institutional moves.
🧠 What is an FVG?
An FVG (Fair Value Gap) is the price gap formed when the market moves rapidly, leaving behind a candle range where no trading occurred — typically between Candle 1’s high and Candle 3’s low (in a three-candle pattern). These gaps often signal imbalance, created during structural breaks or liquidity grabs, and may act as retrace zones or entry points.
🛠 Features:
✅ Automatically detects and highlights FVG zones (high-low range)
✅ Differentiates between open (unfilled) and closed (filled) FVGs
✅ Adjustable timeframe settings (works best on 1H–4H charts)
✅ Option to toggle display of filled FVGs
✅ Great for identifying pullback entries, continuation zones, or reversal setups
💡 Recommended Use:
After BOS/CHoCH, watch for price to return to the FVG for entry
Combine with Order Blocks and liquidity zones for higher accuracy
Best used as part of an ICT or SMC-based trading system
Pivot Swings w Table Pivot Swings w Table — Intraday Structure & Range Analyzer
This indicator identifies key pivot highs and lows on the chart and highlights market structure shifts using a real-time table display. It helps traders visually confirm potential trade setups by tracking unbroken swing points and measuring the range between the most recent pivots.
🔍 Features:
🔹 Automatic Pivot Detection using configurable left/right bar logic.
🔹 Unbroken Pivot Filtering — only pivots that haven't been invalidated by price are displayed.
🔹 Dynamic Range Table with:
Latest valid Pivot High and Pivot Low
Total Range Width
Upper & Lower 25% range thresholds (useful for value/imbalance analysis)
🔹 Trend-Based Color Coding — the table background changes based on which pivot (high or low) occurred more recently:
🟥 Red: Downward bias (last pivot was a lower high)
🟩 Green: Upward bias (last pivot was a higher low)
🔹 Optional extension of pivot levels to the right of the chart for support/resistance confluence.
⚙️ How to Use:
Adjust the Left Bars and Right Bars inputs to fine-tune how swings are defined.
Look for price reacting near the Upper or Lower 25% zones to anticipate mean reversion or breakout setups.
Use the trend color of the table to confirm directional bias, especially useful during consolidation or retracement periods.
💡 Best For:
Intraday or short-term swing traders
Traders who use market structure, support/resistance, or trend-based strategies
Those looking to avoid low-quality trades in tight ranges
✅ Built for overlay use on price charts
📈 Works on all symbols and timeframes
🧠 No repainting — pivots are confirmed with completed bars
Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator
What Is It?
The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis.
Scientific Foundation
The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effects—precisely the characteristics found in crypto and stock markets.
The indicator also borrows from Log-Periodic Power Law (LPPL).
Core Concepts
1. Entropy Deficit
The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness:
Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets
Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness
High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior
Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events
2. Multi-Scale Analysis
The indicator calculates entropy across different timeframes:
Short-term Entropy (blue line): Captures recent market behavior (20-day window)
Long-term Entropy (green line): Captures structural market behavior (120-day window)
Main Entropy (purple line): Primary measurement (60-day window)
3. Scale Ratio
This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations.
How It Works
Data Collection: The indicator samples price returns over specific lookback periods
Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution
Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy
Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure
Risk Assessment: Multiple factors are combined to generate a composite risk score and classification
Market Interpretation
Low Risk Environments (Risk Score < 25)
Market is functioning efficiently with reasonable randomness
Price discovery is likely effective
Normal trading and investment approaches appropriate
Medium Risk Environments (Risk Score 25-50)
Increasing correlation in price movements
Beginning of trend formation or momentum
Time to monitor positions more closely
High Risk Environments (Risk Score 50-75)
Strong herding behavior present
Market potentially becoming one-sided
Consider reducing position sizes or implementing hedges
Extreme Risk Environments (Risk Score > 75)
Highly ordered market behavior
Significant imbalance between buyers and sellers
Heightened probability of sharp reversals or corrections
Practical Application Examples
Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top
Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization
Range-Bound Markets: Typically display low and stable entropy deficit measurements
Trending Markets: Often show moderate entropy deficit that remains relatively consistent
Advantages Over Traditional Indicators
Forward-Looking: Identifies changing market structure before price action confirms it
Statistical Foundation: Based on robust mathematical principles rather than empirical patterns
Adaptability: Functions across different market regimes and asset classes
Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations
Limitations
Not a Timing Tool: Signals market risk conditions, not precise entry/exit points
Parameter Sensitivity: Results can vary based on the chosen parameters
Historical Context: Requires some historical perspective to interpret effectively
Complementary Tool: Works best alongside other analysis methods
Enjoy :)
Pattern Finder with MTF Boxes (Break - Fixed)Script Title:
MTF Supply/Demand Zone Indicator with Candlestick Pattern Confirmation
Short Description:
This advanced strategy identifies key Supply and Demand zones (Order Blocks) on higher timeframes (30m & 1h) and then waits for a pullback to these zones on the current timeframe. The final entry signal is triggered upon the appearance of a valid candlestick pattern (e.g., Hammer, Engulfing) within these zones.
Full Description:
Introduction & Core Concept
This script is a powerful trading tool based on a combination of the following concepts:
Multi-Timeframe (MTF) Analysis: Identifying significant structures on higher timeframes to understand the bigger market picture.
Supply and Demand Zones: Finding areas where an imbalance between buyers and sellers has caused strong price movements.
Candlestick Patterns: Using classic candlestick patterns as the final confirmation for entering a trade at these key zones.
The main idea is to avoid trading blindly and instead wait for the price to react to a significant zone, then enter with a confirmation signal.
How the Strategy Works (Step-by-Step)
Identifying the Key Pattern on Higher Timeframes:
The script continuously monitors the 30-minute and 1-hour charts to find a specific pattern: a short consolidation period (usually 1-4 candles) immediately followed by a breakout with a powerful, high-momentum candle (Long Bar). This pattern indicates the formation of a fresh Supply or Demand Zone.
Drawing the Supply and Demand Boxes:
Green Box (Demand Zone): When a minor high is broken by a bullish Long Bar, this area is identified as potential support and marked with a green box.
Red Box (Supply Zone): When a minor low is broken by a bearish Long Bar, this area is identified as potential resistance and marked with a red box.
White Box (Long Bar / Trigger Zone): This box highlights the range of the Long Bar candle itself. A break of or return to this zone provides important signals.
Waiting for a Pullback:
After a zone is identified and drawn, the strategy waits for the price on your current chart to pull back into this box.
Entry Confirmation with Candlestick Patterns:
Once the price enters the box, the script looks for reversal candlestick patterns:
In a Demand Zone (Green Box): It looks for bullish patterns like the Hammer, Bullish Engulfing, Bullish Harami, and Morning Star. Upon detection, a BUY label appears on the chart.
In a Supply Zone (Red Box): It looks for bearish patterns like the Hanging Man, Shooting Star, Bearish Engulfing, Bearish Harami, and Evening Star. Upon detection, a SELL label appears.
Breakout Signal:
In addition to reversal signals, if the price breaks the White Box (Long Bar Zone) in the opposite direction, a breakout signal is generated, which could indicate a trend continuation.
Visual Elements on the Chart
Green/Red Boxes: The primary Supply and Demand zones from higher timeframes.
White Boxes: The range of the Long Bar candle that activated the primary zone.
BUY/SELL Labels: Trade signals that appear after a candlestick confirmation within the zones.
Moving Averages (SMA 100 & 200): Included to help identify the overall market trend. Trades aligned with the trend are generally more reliable.
Input Settings
period ATR & Bar multiplayer: Allow you to customize the definition of a "Long Bar" based on market volatility.
Number of candle for long bar avrage: The lookback period for calculating the average candle body size.
multiplayer for tp: A multiplier to calculate the take-profit based on the stop-loss size (Risk-to-Reward ratio).
How to Use This Strategy
Apply the script to your main trading timeframe (e.g., 5-minute or 15-minute).
Wait for a Supply (Red) or Demand (Green) zone to be drawn on your chart.
Be patient and wait for the price to return to this zone.
If a BUY or SELL label appears, consider it a valid entry signal.
Always combine these signals with your own analysis and the overall market context.
Disclaimer: This script is an analytical tool and should not be the sole basis for your trading decisions. Always practice proper risk management and thoroughly backtest its performance before using it in a live account.
Normalized Volume IndexIn the realm of technical analysis, volume is more than just a measure of market activity—it’s a window into trader psychology. Two classic indicators that harness this insight are the Positive Volume Index (PVI) and Negative Volume Index (NVI). Developed in the early 20th century by Paul L. Dysart and later refined by Norman G. Fosback in 1976, these tools aim to distinguish between the behavior of the so-called “smart money” and the broader market crowd.
- Positive Volume Index (PVI) tracks price changes only on days when trading volume increases. It assumes that rising volume reflects the actions of less-informed retail traders—those who follow the herd.
- Negative Volume Index (NVI), on the other hand, focuses on days when volume decreases, under the premise that institutional investors (the “smart money”) are more active when the market is quiet.
This dichotomy allows traders to interpret market sentiment through the lens of volume behavior. For example, a rising NVI during a price uptrend may suggest that institutional investors are quietly accumulating positions—often a bullish signal.
Traders use PVI and NVI to:
- Confirm trends: If NVI is above its moving average, it often signals a strong underlying trend supported by smart money.
- Spot reversals: Divergences between price and either index can hint at weakening momentum or upcoming reversals.
- Gauge participation: PVI rising faster than price may indicate overenthusiastic retail buying—potentially a contrarian signal.
These indicators are often paired with moving averages (e.g., 255-day EMA) to generate actionable signals. Fosback’s research suggested that when NVI is above its one-year EMA, there’s a high probability of a bull market.
While PVI and NVI are cumulative indices, normalizing them—for example, by rebasing to 100 or converting to percentage changes—offers several benefits:
- Comparability: Normalized indices can be compared across different assets or timeframes.
- Clarity: It becomes easier to visualize relative strength or weakness.
- Backtesting: Normalized values are more suitable for algorithmic strategies and statistical analysis.
Normalization also helps when combining PVI/NVI with other indicators in multi-factor models, ensuring no single metric dominates due to scale differences
In essence, PVI and NVI offer a nuanced view of market dynamics by separating the noise of volume surges from the quiet confidence of institutional moves. When normalized and interpreted correctly, they become powerful allies in a trader’s decision-making toolkit.
How to use this (Educational material):
For instance, on average, when the Negative Volume Index (NVI) remains above its midline, the market tends to trend positively, reflecting consistent institutional participation. However, when the NVI dips and stays below the midline, it often signals a negative trend, indicating that smart money is stepping away or reducing exposure.
Another telling scenario occurs when the Positive Volume Index (PVI) drops below the NVI. While this might coincide with a brief price dip, institutions often interpret this as an opportunity to buy the dip, quietly accumulating positions while retail participants exit in panic. The result? A market recovery driven by smart money.
Conversely, when the PVI consistently remains above the NVI, it may point to retail enthusiasm outpacing institutional support. This imbalance can flag a tired or overextended trend, where the smart money has already positioned itself defensively. When this pattern persists, there's a high likelihood that institutions will pull the plug, leading to a pronounced trend reversal.
S/D-QTECHSupply and Demand Level Indicator
The Supply and Demand Level Indicator is a dynamic market analysis tool designed to visualize potential turning points in price by identifying zones of hesitation and imbalance in the market. It aims to help traders better understand where buying or selling pressure may emerge, allowing for more informed trading decisions.
This indicator automatically detects and draws supply (resistance) and demand (support) levels based on price behavior. Specifically:
Supply Levels (Red Lines): These are drawn when the market shows hesitation or stalls during upward movement, indicating potential selling pressure. Once price moves above a supply level, that level is invalidated and the red line is removed.
Demand Levels (Blue Lines): These are formed when price hesitates or consolidates on the way down, suggesting possible buying interest. When the price drops below a demand level, it is considered broken, and the blue line is removed.
The concept is rooted in the idea that markets rarely move in straight lines. Price often pauses, pulls back, or consolidates, reflecting shifts in trader sentiment or institutional activity. This indicator captures those moments of hesitation and marks them as potential zones where future reactions might occur.
Dynamic Behavior and Market Character
The strength of this indicator lies in its adaptability. Markets change — sometimes they trend smoothly, and at other times they behave erratically. The levels generated by the indicator reflect this: in fast, smooth markets, fewer levels may be plotted, while in choppier conditions, more lines can appear, showing clusters of indecision.
These lines are not meant to be predictive with pinpoint accuracy, but rather as visual guides for where the market has previously shown hesitation. They can help you frame risk, manage trade entries, and avoid chasing price blindly.
A Note on Trader Psychology
While the indicator provides objective levels, your interpretation matters. Every trader operates on different timeframes, tolerates risk differently, and has unique decision-making styles. A level that holds significance for one trader might be noise to another. Always factor in your own strategy, discipline, and timing when using these tools.
CandelaCharts - 1st Presented FVG 📝 Overview
The ICT 1st Presented Fair Value Gap refers to the first FVG that forms after the market opens at 9:30 AM New York local time. In a sideways market, it often acts as a catalyst for price movement in either direction, while in trending conditions, it tends to support and reinforce the prevailing trend.
This indicator automatically identifies the first Fair Value Gap (FVG) that forms after the New York session opens at 9:30 AM local time. Based on concepts taught by Inner Circle Trader (ICT), the 1st Presented FVG is a key institutional price imbalance that often sets the tone for the trading day.
📦 Features
Customize FVG session time (e.g. 09:30 – 10:00)
Show/hide session dividers
FVG visibility filter (e.g. Bullish / Bearish)
Advanced styling
Hide overlapping FVGs
Extend FVGs
Opening prices
⚙️ Settings
Show: Controls whether all, bullish only, or bearish only FVGs are displayed on the chart.
Session: Sets a specific time window (e.g. 09:30–10:00) to filter which FVGs are displayed.
Dividers: Toggles vertical session divider on the chart for visual separation.
Midline: Displays a midpoint (CE) line through the FVG; customizable color and thickness.
Border: Adds a border around each FVG zone.
Labels: Toggles label display for FVGs.
Hide Overlap: Hides overlapping FVGs to reduce visual clutter.
Extend: Extends each FVG forward in time.
Alerts: Enables alerts when price interacts with an FVG zone.
Opening Prices: Allows defining custom time-based levels (e.g. 00:00–00:01 and 18:00–18:01) with color and style options.
⚡️ Showcase
Simple
Labels
Bordered
Consequent Encroachment
Extended
Dividers
📒 Usage
How to Use the ICT 1st Presented Fair Value Gap in Trading
To apply the ICT 1st Presented Fair Value Gap (FVG), identify the first fair value gap of the day and extend it across the chart until 3:45 PM New York time.
You’ll often notice that some of the best trade setups form around this level. It tends to act as a key reference point for price action during the day—especially on trending days, where price frequently returns to this gap before continuing in its direction.
This level can also serve as an inverse fair value gap, offering opportunities in the opposite direction under the right conditions.
How to Disqualify the 1st Presented Fair Value Gap?
When the first fair value gap forms after 9:30 AM New York time, check the candles that came just before it.
If the candlestick that creates the FVG doesn’t break above or below the range of those previous candles, then it’s not a true inefficiency. In that case, it’s considered a disqualified 1st Presented Fair Value Gap—meaning it shouldn’t be used as a key reference level.
Refer to the example below to see what this looks like on the chart.
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is triggered when the bearish 1st P.FVG is formed in interval 09:30 - 10:00.
Bullish Signal
A bullish signal is triggered when the bullish 1st P.FVG is formed in interval 09:30 - 10:00.
⚠️ 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.
Supply/Demand Zones (Synthetic SMA Candles)Supply/Demand Zones (Synthetic SMA Candles)
Created by The_Forex_Steward
This indicator highlights institutional-style supply and demand zones using synthetic SMA-based candles rather than raw price data. It provides a smoother, more refined view of price action to help identify key imbalance areas where price is likely to react.
Features:
- Uses SMA-smoothed synthetic candles to detect bullish and bearish engulfing structures
- Draws demand zones after bullish breakouts and supply zones after bearish breakouts
- Zones are persistent for a customizable number of bars
- Mitigated zones can optionally be removed from the chart
- Includes alerts for breakout and mitigation events
- Optional plotting of synthetic candles over price for visual clarity
How It Works:
When a synthetic candle closes above the high of a previous bearish candle, a bullish engulfing is detected, and a demand zone is created from that bearish candle’s high and low. Conversely, when price closes below the low of a previous bullish candle, a supply zone is formed. These zones stay on the chart for the user-defined duration or until they are mitigated by price, at which point they can be removed automatically.
How to Use:
- Adjust the SMA Length to control how smooth the synthetic candles appear
- Enable or disable Show Supply Zones and Show Demand Zones as needed
- Set the Zone Duration to control how long each zone persists
- Use Delete Mitigated Zones to automatically remove zones when price returns to them
- Optionally enable Show Synthetic SMA Candles to see the candle logic used in detection
- Use the built-in alerts to stay notified of new zone creation or mitigation
Note: This tool is most effective when combined with structure or trend-based strategies for confirmation.
Yelober_Momentum_BreadthMI# Yelober_Momentum_BreadthMI: Market Breadth Indicator Analysis
## Overview
The Yelober_Momentum_BreadthMI is a comprehensive market breadth indicator designed to monitor market internals across NYSE and NASDAQ exchanges. It tracks several key metrics including up/down volume ratios, TICK readings, and trend momentum to provide traders with real-time insights into market direction, strength, and potential turning points.
## Indicator Components
This indicator displays a table with data for:
- NYSE breadth metrics
- NASDAQ breadth metrics
- NYSE TICK data and trends
- NASDAQ TICK (TICKQ) data and trends
## Table Columns and Interpretation
### Column 1: Market
Identifies the data source:
- **NYSE**: New York Stock Exchange data
- **NASDAQ**: NASDAQ exchange data
- **Tick**: NYSE TICK index
- **TickQ**: NASDAQ TICK index
### Column 2: Ratio
Shows the current ratio values with different calculations depending on the row:
- **For NYSE/NASDAQ rows**: Displays the up/down volume ratio
- Positive values (green): More up volume than down volume
- Negative values (red): More down volume than up volume
- The magnitude indicates the strength of the imbalance
- **For Tick/TickQ rows**: Shows the ratio of positive to negative ticks plus the current TICK reading in parentheses
- Format: "Ratio (Current TICK value)"
- Positive values (green): More stocks ticking up than down
- Negative values (red): More stocks ticking down than up
### Column 3: Trend
Displays the directional trend with both a symbol and value:
- **For NYSE/NASDAQ rows**: Shows the VOLD (volume difference) slope
- "↗": Rising trend (positive slope)
- "↘": Falling trend (negative slope)
- "→": Neutral/flat trend (minimal slope)
- **For Tick/TickQ rows**: Shows the slope of the ratio history
- Color-coding: Green for positive momentum, Red for negative momentum, Gray for neutral
The trend column is particularly important as it shows the current momentum of the market. The indicator applies specific thresholds for color-coding:
- NYSE: Green when normalized value > 2, Red when < -2
- NASDAQ: Green when normalized value > 3.5, Red when < -3.5
- TICK/TICKQ: Green when slope > 0.01, Red when slope < -0.01
## How to Use This Indicator
### Basic Interpretation
1. **Market Direction**: When multiple rows show green ratios and upward trends, it suggests strong bullish market internals. Conversely, red ratios and downward trends indicate bearish internals.
2. **Market Breadth**: The magnitude of the ratios indicates how broad-based the market movement is. Higher absolute values suggest stronger market breadth.
3. **Momentum Shifts**: When trend arrows change direction or colors shift, it may signal a potential reversal or change in market momentum.
4. **Divergences**: Look for divergences between different markets (NYSE vs NASDAQ) or between ratios and trends, which can indicate potential market turning points.
### Advanced Usage
- **Volume Normalization**: The indicator includes options to normalize volume data (none, tens, thousands, millions, 10th millions) to handle different exchange scales.
- **Trend Averaging**: The slope calculation uses an averaging period (default: 5) to smooth out noise and identify more reliable trend signals.
## Examples for Interpretation
### Example 1: Strong Bullish Market
```
| Market | Ratio | Trend |
|--------|---------|-----------|
| NYSE | 1.75 | ↗ 2.85 |
| NASDAQ | 2.10 | ↗ 4.12 |
| Tick | 2.45 (485) | ↗ 0.05 |
| TickQ | 1.95 (320) | ↗ 0.03 |
```
**Interpretation**: All metrics are positive and trending upward (green), indicating a strong, broad-based rally. The high ratio values show significant bullish dominance. This suggests continuation of the upward move with good momentum.
### Example 2: Weakening Market
```
| Market | Ratio | Trend |
|--------|---------|-----------|
| NYSE | 0.45 | ↘ -1.50 |
| NASDAQ | 0.85 | → 0.30 |
| Tick | 0.95 (105) | ↘ -0.02 |
| TickQ | 1.20 (160) | → 0.00 |
```
**Interpretation**: The market is showing mixed signals with positive but low ratios, while NYSE and TICK trends are turning negative. NASDAQ shows neutral to slightly positive momentum. This divergence often occurs near market tops or during consolidation phases. Traders should be cautious and consider reducing position sizes.
### Example 3: Negative Market Turning Positive
```
| Market | Ratio | Trend |
|--------|---------|-----------|
| NYSE | -1.25 | ↗ 1.75 |
| NASDAQ | -0.95 | ↗ 2.80 |
| Tick | -1.35 (-250) | ↗ 0.04 |
| TickQ | -1.10 (-180) | ↗ 0.02 |
```
**Interpretation**: This is a potential bottoming pattern. Current ratios are still negative (red) showing overall negative breadth, but the trends are all positive (green arrows), indicating improving momentum. This divergence often occurs at market bottoms and could signal an upcoming reversal. Look for confirmation with price action before establishing long positions.
### Example 4: Mixed Market with Divergence
```
| Market | Ratio | Trend |
|--------|---------|-----------|
| NYSE | 1.45 | ↘ -2.25 |
| NASDAQ | -0.85 | ↘ -3.80 |
| Tick | 1.20 (230) | ↘ -0.03 |
| TickQ | -0.75 (-120) | ↘ -0.02 |
```
**Interpretation**: There's a significant divergence between NYSE (positive ratio) and NASDAQ (negative ratio), while all trends are negative. This suggests sector rotation or a market that's weakening but with certain segments still showing strength. Often seen during late-stage bull markets or in transitions between leadership groups. Consider reducing risk exposure and focusing on relative strength sectors.
## Practical Trading Applications
1. **Confirmation Tool**: Use this indicator to confirm price movements. Strong breadth readings in the direction of the price trend increase confidence in trade decisions.
2. **Early Warning System**: Watch for divergences between price and breadth metrics, which often precede market turns.
3. **Intraday Trading**: The real-time nature of TICK and volume data makes this indicator valuable for day traders to gauge intraday momentum shifts.
4. **Market Regime Identification**: Sustained readings can help identify whether the market is in a trend or chop regime, allowing for appropriate strategy selection.
This breadth indicator is most effective when used in conjunction with price action and other technical indicators rather than in isolation.
Liquidity Hunter HeatmapLiquidity Hunter (GPS Companion Tool)
Liquidity Hunter is a specialized script designed to help traders visualize and track potential liquidation zones, clusters, and imbalance traps in real-time. It is particularly useful for scalpers and short-term traders who rely on liquidity sweeps, stop hunts, and reversion plays.
This tool does not replicate open-source liquidation trackers. Instead, it uses a proprietary combination of volume surges, candle displacement, VWAP deviation, and high-timeframe wicks to infer areas of trapped traders and display them with clear, color-coded markers.
Key Features:
• Real-Time Liquidation Estimates: Detects where major stop losses (and potential liquidations) may have occurred, based on proprietary volume + price action logic.
• Cluster Strength Bubbles: Visual bubbles (scaled by cluster size) show where liquidations are stacking. Purple for bearish, white for bullish — intensity reflects strength.
• Pre-Liquidation Warning Zones: Highlights areas where price is likely to sweep liquidity before reversing, helping traders avoid chasing moves.
• Dollar-Based Labels (Optional): Displays the estimated value liquidated, helping traders size the significance of a move (e.g., $8.4M).
• Minimal Clutter Mode: Designed for intraday clarity — hides excess lines and uses bubbles, not shapes, for cleaner visualization.
Intra_Candle_Welding by Chaitu50cIntra Candle Welding by Chaitu50c
This is a professional price action–based indicator designed to automatically detect and visualize *intra-candle reversal zones* using simple yet powerful logic. It highlights price levels where two consecutive opposite candles meet with a high probability of short-term market reaction.
Concept
The indicator identifies potential intraday support and resistance levels based on the "Intra Candle Welding" concept: when the close of one candle is very close to the open of the next candle, and the two candles have opposite directions (bullish followed by bearish, or bearish followed by bullish). These levels often attract market attention due to order flow imbalance created during such transitions.
How It Works
1. The indicator continuously monitors each new candle and checks if the current open is approximately equal to the previous close, within a configurable buffer.
2. It further ensures that the two candles form an opposite pair (green→red or red→green).
3. When a valid pair is detected, the indicator checks for existing active lines near this level. If no active line exists within the defined tolerance, it draws a new horizontal line at the detected level.
4. Each line is classified as either a potential resistance (from green→red pair) or support (from red→green pair).
5. Lines automatically extend rightward and update with each bar. If price breaks through the line beyond a configurable break buffer, the line stops extending and is visually marked as "broken."
6. The indicator intelligently manages the maximum number of lines on the chart by deleting the oldest ones when the limit is exceeded.
Use Case
Traders can use this tool to identify short-term reaction zones and potential intraday turning points. The highlighted levels act as temporary support and resistance areas where price frequently reacts. It is especially useful in fast-moving or volatile markets such as index futures or liquid stocks.
Features
* Automatically detects intra-candle reversal zones.
* Classifies zones as support (bottom) or resistance (top).
* Automatically updates and breaks lines when invalidated by price action.
* Adjustable parameters for flexibility:
* Equality Buffer
* Max Lines to Keep
* Line Suppression Tolerance
* Initial Extend Bars
* Break Buffer
* Line colors, widths, and styles (active and broken states)
* Efficient memory handling with capped line count.
* Minimalist and clean visual representation, suitable for overlay on any chart.
Recommended Settings
* Works best on intraday timeframes (1 min to 15 min).
* Tune the Equality Buffer and Tolerance parameters based on instrument volatility.
* Use conservative Break Buffer to avoid premature line invalidation.
Disclaimer
This is a tool to support discretionary trading decisions. It is not a standalone buy/sell signal generator. Users are advised to combine it with their own market context and risk management framework.
This indicator is released for the TradingView community for educational and practical trading use.
---
Consolidation Range with Signals (Zeiierman)█ Overview
Consolidation Range with Signals (Zeiierman) is a precision tool for identifying and trading market consolidation zones, where price contracts into tight ranges before significant movement. It provides dynamic range detection using either ADX-based trend strength or volatility compression metrics, and offers built-in take profit and stop loss signals based on breakout dynamics.
Whether you trade breakouts, range reversals, or trend continuation setups, this indicator visualizes the balance between supply and demand with clearly defined mid-bands, breakout zones, and momentum-sensitive TP/SL placements.
█ How It Works
⚪ Multi-Method Range Detection
ADX Mode
Uses the Average Directional Index (ADX) to detect low-trend-strength environments. When ADX is below your selected threshold, price is considered to be in consolidation.
Volatility Mode
This mode detects consolidation by identifying periods of volatility compression. It evaluates whether the following metrics are simultaneously below their respective historical rolling averages:
Standard Deviation
Variance
Average True Range (ATR)
⚪ Dynamic Range Band System
Once a range is confirmed, the system builds a dynamic band structure using a volatility-based filter and price-jump logic:
Middle Line (Trend Filter): Reacts to price imbalance using adaptive jump logic.
Upper & Lower Bands: Calculated by expanding from the middle line using a configurable multiplier.
This creates a clean, visual box that reflects current consolidation conditions and adapts as price fluctuates within or escapes the zone.
⚪ SL/TP Signal Engine
On detection of a breakout from the range, the indicator generates up to 3 Take Profit levels and one Stop Loss, based on the breakout direction:
All TP/SL levels are calculated using the filtered base range and multipliers.
Cooldown logic ensures signals are not spammed bar-to-bar.
Entries are visualized with colored lines and labeled levels.
This feature is ideal for traders who want automated risk and reward reference points for range breakout plays.
█ How to Use
⚪ Breakout Traders
Use the SL/TP signals when the price breaks above or below the range bands, especially after extended sideways movement. You can customize how far TP1, TP2, and TP3 sit from the entry using your own risk/reward profile.
⚪ Mean Reversion Traders
Use the bands to locate high-probability reversion zones. These serve as reference zones for scalping or fade entries within stable consolidation phases.
█ Settings
Range Detection Method – Choose between ADX or Volatility compression to define range criteria.
Range Period – Determines how many bars are used to compute trend/volatility.
Range Multiplier – Scales the width of the consolidation zone.
SL/TP System – Optional levels that project TP1/TP2/TP3 and SL from the base price using multipliers.
Cooldown – Prevents repeated SL/TP signals from triggering too frequently.
ADX Threshold & Smoothing – Adjusts sensitivity of trend strength detection.
StdDev / Variance / ATR Multipliers – Fine-tune compression detection logic.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
MirPapa:ICT:HTF: FVG OB Threeple# MirPapa:ICT:HTF: FVG OB (Fair Value Gap Order Block)
**Version:** Pine Script® v6
**Author:** © goodia
**License:** MPL-2.0 (Mozilla Public License 2.0)
---
## Overview
“FVG OB” (Fair Value Gap Order Block) identifies higher-timeframe candle ranges where a gap (imbalance) exists between two non-consecutive candles, signaling potential institutional order blocks. This module draws bullish or bearish FVG OB boxes on your lower-timeframe chart, extends them until price interacts a specified number of times, and then finalizes (recolors) the box.
---
## Inputs
- **Enable FVG OB Boxes** (`bool`)
Toggle drawing of HTF FVG OB boxes on the chart.
- **Enable FVG OB Midlines** (`bool`)
Toggle drawing of a midpoint line inside each FVG OB box.
- **FVG OB Close Count** (`int` 1–10)
Number of HTF closes beyond the FVG range required to finalize (recolor) the box.
- **FVG OB Bull Color** (`color`)
Fill & border color for bullish FVG OB boxes.
- **FVG OB Bear Color** (`color`)
Fill & border color for bearish FVG OB boxes.
- **FVG OB Box Transparency** (`int` 1–100)
Opacity level for FVG OB box fills (higher = more transparent).
---
## How It Works
1. **HTF Data Retrieval**
- The script uses `request.security()` (via `GetHTFrevised()`) to fetch HTF OHLC and historical values:
- `_htfHigh3` (high three bars ago) and `_htfLow1` (low one bar ago) for bullish FVG OB.
- `_htfLow3` (low three bars ago) and `_htfHigh1` (high one bar ago) for bearish FVG OB.
- It also tracks the HTF `bar_index` on the lower timeframe to align drawing.
2. **FVG OB Detection**
- **Bullish FVG OB**: Occurs when the HTF low of the previous bar (`low `) is strictly above the HTF high of three bars ago (`high `), creating a gap.
- **Bearish FVG OB**: Occurs when the HTF high of the previous bar (`high `) is strictly below the HTF low of three bars ago (`low `), creating a gap.
3. **Box Creation**
- On each new HTF bar (`ta.change(time(HTF)) != 0`), if a bullish or bearish FVG OB condition is met, the script calls `CreateBoxData()` with:
- **Bullish**: `bottom = HTF low `, `top = HTF high `, `_isBull = true`.
- **Bearish**: `bottom = HTF low `, `top = HTF high `, `_isBull = false`.
- Midline toggled by input.
- A `BoxData` struct is created and stored in either the Bull or Bear array.
4. **Box Extension & Finalization**
- On **every LTF bar**, `ProcessBoxDatas(...)` iterates over all active FVG OB boxes:
1. **Extend Right Edge**: `box.set_right(bar_index)` ensures the box follows the latest bar.
2. **Record Volume Delta**: Tracks buy/sell volume inside the box.
3. **Touch Stage Update**: `modBoxUpdateStage()` increments `_stage` when price touches its “basePoint” (for FVG OB, the basePrice is one side of the gap).
4. **Finalize**: `setBoxFinalize()` checks if the configured number of closes beyond the FVG gap (`FVG OB Close Count`) has occurred. If so:
- `_isActive := false`
- Border and background colors are changed to the “Box Close Color” (input).
- Finalized boxes remain on screen semi-transparent, indicating that the FVG OB zone has been tested.
5. **Midline (Optional)**
- If “Enable FVG OB Midlines” is checked, `ProcessBoxDatas()` also extends a horizontal midpoint line inside the box with `line.set_x2(bar_index)`.
---
## Usage Instructions
1. **Installation**
- Copy the FVG OB section of the Pine Script into TradingView’s Pine Editor (ensure the library import is included).
- Click “Add to Chart.”
2. **Configure Inputs**
- Choose a Higher Time Frame via the dropdown (e.g., “4시간” maps to a 4H timeframe).
- Toggle “Enable FVG OB Boxes” and “Enable FVG OB Midlines.”
- Select colors for bullish and bearish boxes and set transparency.
- Adjust “FVG OB Close Count” to control how many closes beyond the gap finalize the box.
3. **Interpretation**
- **Active FVG OB Boxes** extend to the right until price closes beyond the gap range the specified number of times.
- When finalized, each box changes to the “Box Close Color,” signaling that institutional orders in that gap have likely been filled.
Enjoy precise visualization of higher-timeframe Fair Value Gap Order Blocks on your lower-timeframe chart!
Not All FVGs Are The Same
Overview:
"Not All FVGs Are The Same" is a powerful TradingView indicator designed to pinpoint high-quality Fair Value Gaps (FVGs) on your chart. Unlike generic FVG tools, this indicator uses advanced filtering to highlight only the most significant gaps, helping traders identify high-probability setups with precision and clarity. With customizable visuals and real-time alerts, it’s built for traders who want to focus on meaningful market opportunities.
Why It’s Different:
This indicator stands out by detecting FVGs that meet strict criteria for quality, ensuring you’re not distracted by minor or unreliable gaps. It analyzes price action patterns and market volatility to confirm that each FVG represents a significant imbalance, perfect for spotting potential reversal or continuation zones.
Key Features:
High-Quality Detection: Identifies FVGs formed by strong, consistent price movements, filtering out weak or noisy gaps for reliable trading signals.
Volatility-Based Filtering: Uses market volatility to ensure only substantial FVGs are displayed, adapting to different market conditions.
Customizable Visuals: Marks FVGs with clear, semi-transparent boxes that show the gap’s range and duration, with an option to toggle labels for a clean chart.
Real-Time Alerts: Get instant notifications when new bullish or bearish FVGs are detected, keeping you ahead of the market.
Focused Display: Limits the number of FVGs shown to keep your chart uncluttered, emphasizing the most recent and relevant gaps.
User-Friendly Settings: Easily adjust sensitivity, gap size, and visual styles to match your trading strategy and preferences.
How It Helps Traders:
By focusing on high-quality FVGs, this indicator helps you identify key price levels where the market is likely to react. Whether you trade breakouts, reversals, or trend continuations, the clear visuals and precise detection make it easier to spot opportunities with confidence.
Settings:
ATR Length: Adjusts the volatility filter for FVG detection (default: 10).
Minimum FVG Size: Sets the smallest gap size to consider (default: 2 bars).
Show Last X FVGs: Controls how many recent FVGs are displayed (default: 20).
Enable Sensitivity Check: Turn on/off volatility-based filtering (default: on).
Allow Gaps Between Bars: Choose whether to include gaps with price discontinuities (default: off).
Show Labels: Toggle FVG detection labels on or off (default: on).
Style Options: Customize bullish/bearish FVG colors, text color, and label size for clear visuals.
How to Use:
Apply the indicator to your chart and tweak the settings to suit your market and timeframe. Enable alerts to stay updated on new FVGs in real-time. Use the boxes to identify key support/resistance zones and combine with your strategy for optimal trading decisions.
Note: Designed for efficiency, this indicator works smoothly across timeframes and instruments. Experiment with settings to find the best fit for your trading style, and use the toggleable labels to keep your chart clean when needed.
[RenkoCore] PublicWhen it comes the Renko chart, we all know it has its advantages & disadvantages compared to the candle-stick chart. My aim of this was to alleviate some of the disadvantages by providing some sort of structure on Renko chart. These set of tools may hopefully help your trading journey on Renko chart.
Helpful tips:
a) Enable wicks on your Renko settings, this indicator needs wicks to work.
b) Choose correct size (I recommend traditional size option) for your Renko chart as well as for your instrument.
c) Keep it on 1-second time frame, anything other than that doesn't work on TradingView's Renko. This is important as price will not repaint.
d) If you want to see bigger picture (like 4hr/daily on candle-stick chart), just increase your Renko size, but still keep it on 1-second timeframe.
This toolset includes couple different methods to provide some structures as explained below:
1. 📌 Balance | Price Action Equilibrium Zones
Overview
The Balance is a visual framework designed to evaluate directional bias and internal structure in price action. It measures net bullish/bearish momentum within a configurable rolling window, while highlighting key structural turning points based on multiple custom sensitivity levels. This tool helps traders stay in sync with market rhythm by emphasizing balance, imbalance, and inflection zones.
🔧 How It Works:
Inflection Tiers
Three customizable rounds of pivot-based divergence detection—labeled as 1°, 2°, and 3°—automatically identify regular bullish and regular bearish pivot structures. Though may not be always accurate, these structural signals are intended to keep user's focus to continually reflect emerging internal market shifts.
Balance Limit
Monitors directional bar disparity within a customizable retrospective span. When the net balance exceeds ±50% of the range, the line turns green to suggest strong directional bias. A red fill zone between these thresholds indicates equilibrium or no-trade conditions.
Volatility Based Reversal (Candle Reversal Detector)
This tool scans for extreme price movements relative to local volatility baselines, helping traders detect possible tops and bottoms before major price reversals or pauses. Compares current price action to the lowest recent volatility anchor or if price sharply dips below the highest recent volatility anchor.
🧠 Use Case Recommendations:
Discretionary trading to visually confirm balance and momentum shifts.
Confluence strategies, combining the balance counter with trend indicators or support/resistance levels.
Structure mapping, to highlight exhaustion zones or emerging reversals based on internal divergences.
Avoid using this tool in isolation. It is most effective when combined with broader market context or other confirmation layers.
2. 📌 Primary Level Detection
Overview
This is a precision tool for detecting dynamic price zones where significant market reversals may begin. Using a blend of momentum, price tension, and volatility structure, it identifies potential top and bottom areas — and tracks them with adaptive channel levels that evolve in real time.
🔧 How It Works:
Combines price action, RSI-based bias, and volatility deviation to identify moments when price is overextended.
Reacts only to major changes — reducing false positives in choppy markets.
Levels persist on the chart until a new valid reversal is confirmed, giving you visual structure and actionable areas to work with.
🧠 Use Case Recommendations:
Trading reversals, reversion-to-mean, or liquidity sweeps
Confirming entries from other indicators (like divergence, order blocks, or support/resistance)
Analyzing volatile markets where rapid direction changes are common (e.g., crypto, futures, scalping)
3. 📌 Secondary Level Detection
Overview
This tool highlights where price may be overextended and due for a short-term reversal, based on recent price structure.
🔧 How It Works:
It uses dynamic bar-count and swing conditions to identify potential price turning points after extended directional moves or strong sequence of bars in same direction.
Levels persist on the chart until a new valid reversal is confirmed, giving you visual structure and actionable areas to work with.
🧠 Use Case Recommendations:
Trading reversals, reversion-to-mean, or liquidity sweeps
Confirming entries from other indicators (like divergence, order blocks, or support/resistance)
⚠️ Important Notes:
This indicator does not repaint. All pivots and plots are based on closed candles and verified conditions.
This tool does not provide trade signals. It is a structural analysis tool intended to assist in discretionary decision-making. This indicator is for informational and educational purposes only. Use in combination with your own trading strategy, risk management, and market context. The signals generated do not guarantee outcomes and should not be used in isolation.
It is not intended to be financial advice or a recommendation to buy or sell any security or asset. Trading involves risk. Always do your own research and consult with a licensed financial advisor before making any trading decisions. Past performance is not indicative of future results.
The author is not responsible for any losses incurred from the use of this script.
CryptoNeo - Crypto Stablecoin MatrixThe CryptoNeo – Crypto Stablecoin Matrix is a forward-looking indicator that decodes broad crypto market sentiment by analyzing how stablecoins behave across spot and futures markets.
Stablecoins are the lifeblood of the crypto ecosystem, and how they move can offer early insight into future market direction. This tool leverages that behavior to forecast potential price action across major cryptocurrencies like BTC, ETH, SOL, DOGE, and other large-cap coins that tend to move in sync with the broader market.
Originally derived from a suite of alpha signals developed for a systematic crypto trading algorithm, this indicator compresses advanced stablecoin flow analytics into a clear and intuitive visual format — designed specifically for discretionary traders.
It is optimized for trading on the 30-minute to 4-hour timeframes, where the nuances of capital flow are most actionable. Whether you’re swing trading majors or scouting key pivot points, this tool provides a fresh edge rooted in stablecoin dynamics.
The Matrix is composed of four core components that signal changes in sentiment, capital flow, and market positioning:
1. Stablecoin Futures Flow (Bullish/Bearish)
Detects shifts in leveraged positioning in the futures market based on proprietary flow dynamics.
🟩 Green squares = bullish futures flow (long bias)
🟥 Red squares = bearish futures flow (short bias)
Helps identify directional sentiment through futures-driven stablecoin movement.
2. Stablecoin Spot Flow (Bullish/Bearish)
Analyzes momentum in spot market stablecoin activity to reveal potential accumulation or distribution.
🟢 Green circles = bullish spot flow (buying pressure)
🔴 Red circles = bearish spot flow (selling pressure)
Offers early signals of demand or profit-taking pressure.
3. Futures Oversold/Overbought Level 1
Identifies early signs of exhaustion or trend slowing based on leveraged market conditions.
🟢 Green diamonds = early oversold signal
🔴 Red diamonds = early overbought signal
Useful for catching subtle turning points or slowing momentum.
4. Futures Oversold/Overbought Level 2
Flags rare and extreme positioning events that may precede major reversals.
🟢 Large green diamonds = deep oversold condition
🔴 Large red diamonds = deep overbought condition
Highlights moments of extreme imbalance or sentiment peaks.
Customization & Flexibility
Adjustable sensitivity settings allow you to fine-tune:
Bullish and bearish Spot and Futures Flow
Thresholds for Level 1 and Level 2 Overbought/Oversold signals
This ensures traders can align signal responsiveness with their trading style and market conditions.
Best Used For:
Swing trading crypto majors (BTC, ETH, SOL, DOGE, etc.)
Timeframes between 30 minutes and 4 hours
Identifying trend reversals and accumulation zones
Tracking macro market sentiment using stablecoin behavior
Delta Volume Profile [BigBeluga]🔵Delta Volume Profile
A dynamic volume analysis tool that builds two separate horizontal profiles: one for bullish candles and one for bearish candles. This indicator helps traders identify the true balance of buying vs. selling volume across price levels, highlighting points of control (POCs), delta dominance, and hidden volume clusters with remarkable precision.
🔵 KEY FEATURES
Split Volume Profiles (Bull vs. Bear):
The indicator separates volume based on candle direction:
If close > open , the candle’s volume is added to the bullish profile (positive volume).
If close < open , it contributes to the bearish profile (negative volume).
ATR-Based Binning:
The price range over the selected lookback is split into bins using ATR(200) as the bin height.
Each bin accumulates both bull and bear volumes to form the dual-sided profile.
Bull and Bear Volume Bars:
Bullish volumes are shown as right-facing bars on the right side, colored with a bullish gradient.
Bearish volumes appear as left-facing bars on the left side, shaded with a bearish gradient.
Each bar includes a volume label (e.g., +12.45K or -9.33K) to show exact volume at that price level.
Points of Control (POC) Highlighting:
The bin with the highest bullish volume is marked with a border in POC+ color (default: blue).
The bin with the highest bearish volume is marked with a POC− color (default: orange).
Total Volume Density Map:
A neutral gray background box is plotted behind candles showing the total volume (bull + bear) per bin.
This reveals high-interest price zones regardless of direction.
Delta and Total Volume Summary:
A Delta label appears at the top, showing net % difference between bull and bear volume.
A Total label at the bottom shows total accumulated volume across all bins.
🔵 HOW IT WORKS
The indicator captures all candles within the lookback period .
It calculates the price range and splits it into bins using ATR for adaptive resolution.
For each candle:
If price intersects a bin and close > open , volume is added to the positive profile .
If close < open , volume is added to the negative profile .
The result is two side-by-side histograms at each price level—one for buyers, one for sellers.
The bin with the highest value on each side is visually emphasized using POC highlight colors.
At the end, the script calculates:
Delta: Total % difference between bull and bear volumes.
Total: Sum of all volumes in the lookback window.
🔵 USAGE
Volume Imbalance Zones: Identify price levels where buyers or sellers were clearly dominant.
Fade or Follow Volume Clusters: Use POC+ or POC− levels for reaction trades or breakouts.
Delta Strength Filtering: Strong delta values (> ±20%) suggest momentum or exhaustion setups.
Volume-Based Anchoring: Use profile levels to mark hidden support/resistance and execution zones.
🔵 CONCLUSION
Delta Volume Profile offers a unique advantage in market reading by separating buyer and seller activity into two visual layers. This allows traders to not only spot where volume was high, but also who was more aggressive. Whether you’re analyzing trend continuations, reversals, or absorption levels, this indicator gives you the transparency needed to trade with confidence.
Consolidation Range [BigBeluga]A hybrid volatility-volume indicator that isolates periods of price equilibrium and reveals the directional force behind each range buildup.
Consolidation Range is a powerful tool designed to detect compression phases in the market using volatility thresholds while visualizing volume imbalance within those phases. By combining low-volatility detection with directional volume delta, it highlights where accumulation or distribution is occurring—giving traders the confidence to act when breakouts follow. This indicator is particularly valuable in choppy or sideways markets where range identification and sentiment context are key.
🔵 CONCEPTS
Volatility Compression: Uses ADX (Average Directional Index) to detect periods of low trend strength—specifically when ADX drops below a configurable threshold.
Range Structure: Upon a low-volatility trigger, the script dynamically anchors horizontal upper and lower bounds based on local highs and lows.
Directional Volume Delta: Inside each active range, it calculates the net difference between buy and sell volume, showing who controlled the range.
Sentiment Bias: A label appears in the center of the zone on breakout, showing the accumulated delta and bias direction (▲ for positive, ▼ for negative).
Range Validity Filter: Only ranges with more than 15 bars are considered valid—short-lived consolidations are auto-filtered.
🔵 KEY FEATURES
Detects low volatility market phases using ADX logic (crosses under "Volatility Threshold Input").
Automatically plots adaptive consolidation zones with upper and lower boundary lines.
Includes dynamic midline to visualize the price average inside the range.
Visual range is filled with a progressive gradient to reflect distance between highs and lows.
When the range is active, the indicator accumulates volume delta (Buy - Sell volume) .
Upon breakout, the total volume delta is displayed at the midpoint , providing insight into market sentiment during the consolidation phase.
Filters out weak or short-lived consolidations under 15 bars.
🔵 HOW TO USE
Spot ranging or compression zones with minimal effort.
Use breakouts with volume delta bias to assess the strength or weakness of moves.
Combine with trend-following tools or volume-based confirmation for stronger setups.
Apply to higher timeframes for macro consolidation tracking .
🔵 CONCLUSION
Consolidation Range now brings together volatility filtering and directional volume delta into one smart module. This hybrid logic allows traders to not only identify balance zones but also understand who was in control during the buildup—offering a sharper edge for breakout and trend continuation strategies.
Value Scanner | QuantEdgeB📡 Value Scanner | QuantEdgeB
🔍 What is the Value Scanner?
The Value Scanner by QuantEdgeB is a volatility-adaptive valuation framework that dynamically evaluates where price sits relative to a custom “Fair Value” zone. It combines your choice of moving average engine (SMA, WMA, VIDYA, etc.) with multi-layered standard deviation or ATR-based bands to highlight extreme conditions, reversal zones, and statistical overextensions in real time.
💡 Think of Value Scanner as a radar grid, continuously scanning market terrain and painting a full spectrum from balance to extreme disequilibrium.
⚙️ Core Components
✅ Customizable Moving Average Core
At the heart of the scanner lies a flexible moving average engine:
• Choose from 12+ advanced types: 𝓦𝓜𝓐, 𝓥𝓦𝓜𝓐, 𝓥𝓘𝓓𝓨𝓐, 𝓢𝓜𝓜𝓐, 𝓐𝓛𝓜𝓐, 𝓛𝓢𝓜𝓐, and more.
• Fair Value is derived from this base and acts as the center of the statistical zones.
✅ Volatility-Driven Band Construction
Two volatility methods power the adaptive zones:
• Average True Range (ATR): Ideal for reactive, price-based spreads.
• Standard Deviation (SD): Better for modeling reversion and deviation symmetry.
The scanner builds up to ±5σ zones, dynamically updating in real time.
🎯 Signal and Zone Identification
🧭 Deviation Labels
The system assigns a statistical label at every candle:
• From +0.5σ to +5σ for increasing levels of overextension upward.
• From -0.5σ to -5σ for oversold and undervalued conditions.
🌐 Market Stage Detection
Each deviation zone is translated into an intuitive market phrase such as:
• “𝓔𝔁𝓽𝓻𝓮𝓶𝓮𝓵𝔂 𝓞𝓿𝓮𝓻𝓫𝓸𝓾𝓰𝓱𝓽”
• “𝓜𝓲𝓭 𝓥𝓪𝓵𝓾𝓮 / 𝓑𝓪𝓵𝓪𝓷𝓬𝓮𝓭”
• “𝓜𝓪𝔁𝓲𝓶𝓾𝓶 𝓔𝔁𝓽𝓮𝓷𝓼𝓲𝓸𝓷 𝓓𝓸𝔀𝓷”
These phrases help you intuitively gauge risk, reward, and imbalance without needing to study a chart for long.
🔺 Signal Mechanics
📌 Reversal Signals (Optional)
• Automatic buy signals when price crosses above key lower deviation levels.
• Sell signals when price crosses below upper deviation bands.
• Ideal for mean-reversion setups or high-probability reversal plays.
🖼️ Visual Overlay Engine
• Beautifully shaded volatility bands with decreasing opacity as they move away from fair value.
• Background coloring highlights extreme price zones for fast visual alerts.
• Built-in "table display" summarizing the current base, volatility method, direction, fair value, and deviation stage.
📊 Table Overlay Features
The live diagnostic table (position adjustable) displays:
• 📈 Current Base MA Type
• 🌡️ Volatility Method in use (ATR or SD)
• 🧭 Trend direction (rising/falling/neutral)
• 🧮 Current Deviation Label (+2σ, -3σ, etc.)
• 🚦 Interpretive Stage Phrase ("Strongly Overbought", etc.)
• 📍 Real-Time Fair Value
• 🚨 Upper & Lower Extremes
🧠 Why Use the Value Scanner?
This tool is designed for traders who want to:
• Identify price extremes relative to statistical norms.
• Time entries and exits based on price's relationship to value zones.
• Visualize volatility structure without clutter.
• Combine trend-following or mean-reversion logic with elegant overlays and table analytics.
💼 Ideal Use Cases
• Swing trading: Spot overextensions or returns to mean.
• Options traders: Gauge volatility compression or expansion.
• Reversion systems: Generate contrarian signals at edge zones.
• Trend continuation: Use +1σ or -1σ as breakout validation levels.
🧬 Default Settings
• Base Type: 𝓦𝓜𝓐
• Length: 21
• Volatility Type: 𝓐𝓿𝓰. 𝓣𝓻𝓾𝓮 𝓡𝓪𝓷𝓰𝓮
•. Volatility Lengths: ATR 14 / Stdev 30
🧬 In Summary
Value Scanner | QuantEdgeB is not just a volatility band indicator — it’s a contextual market scanner that combines price equilibrium theory with precision deviation mapping. It adds statistical insight, color-coded extremes, and narrative stage identification — all in real time.
Whether you’re trend-following or fading extremes, this system helps you locate value, measure dislocation, and trade with mathematical confidence.
📌 Trade with Statistical Precision | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
USDTUSD Stochastic RSI [SAKANE]Release Note
■ Overview
The USDTUSD Stochastic RSI indicator visualizes shifts in market sentiment and liquidity by applying the Stochastic RSI to the USDT/USD price pair.
Rather than tracking the price of Bitcoin directly, this tool observes the momentum of USDT, a key intermediary in most crypto transactions, to detect early signals of trend reversals.
■ Background & Motivation
USDT exhibits two distinct characteristics:
Its credibility as a long-term store of value is limited.
Yet, it serves as one of the most liquid assets in the crypto space and is widely used as a trading base pair.
Because most BTC trades involve converting fiat into USDT and vice versa, USDT/USD frequently deviates slightly from its peg to USD.
These deviations—though subtle—often occur just before major shifts in the broader crypto market.
This indicator is designed to detect such moments of structural imbalance by applying momentum analysis to USDT itself.
■ Feature Highlights
Calculates RSI and Stochastic RSI on the USDT/USD closing price
Supports customizable smoothing via SMA or EMA
Background shading dynamically visualizes overheated or cooled market states (thresholds are adjustable)
Displayed in a separate pane, keeping it visually distinct from the price chart
■ Usage Insights
This indicator is based on an observable pattern:
When the Stochastic RSI bottoms out, Bitcoin tends to form a price bottom shortly afterward
Conversely, when the indicator peaks, Bitcoin tends to top out with a slight delay
Since USDT acts as a gateway for capital in and out of the market, changes in its momentum often foreshadow turning points in BTC.
This allows traders to anticipate shifts in sentiment rather than merely reacting to them.
■ Unique Value Proposition
Unlike conventional price-based indicators, this tool offers a structural perspective.
It focuses on USDT as a mechanism of liquidity flow, making it possible to detect the "hidden rhythm" of the crypto market.
In that sense, this is not just a technical tool, but an entry point into market microstructure analysis—allowing users to read the market’s intentions rather than just its movements.
■ Practical Tips
Look for reversals in momentum as potential BTC entry or exit points.
Overlay this indicator with the BTC chart to compare timing and divergence.
Combine with other tools such as on-chain data or macro indicators for comprehensive analysis.
■ Final Thoughts
USDTUSD Stochastic RSI is designed with the belief that the most important market signals often come from what drives the price, not the price itself.
By tuning into the “heartbeat” of capital flow, this indicator sheds light on market dynamics that would otherwise remain unseen.
We hope it proves useful in your trading and research.
