YSD RSIYSD RSI
This indicator is an enhanced version of the traditional Relative Strength Index (RSI), designed to provide deeper insight into market momentum and trend quality. While the classic RSI focuses primarily on the ratio of recent gains to losses, this strengthened variant incorporates additional layers of analysis to capture subtler shifts in price behavior. By applying refined smoothing techniques, integrating volatility awareness, and emphasizing the consistency of directional movement, the indicator aims to reduce noise and highlight more reliable momentum signals. As a result, it not only identifies overbought and oversold conditions with greater precision but also reacts more intelligently to changing market environments. Traders can use this improved RSI to detect early trend reversals, filter out false signals, and gain a more comprehensive understanding of underlying price dynamics compared to the standard RSI.
מחזורים
BuySell box📌 The BuySell Box visualizes how volume contributes to buy, sell, or neutral flow within a specific price range.
Based on the high-low-close structure of each candlestick and the volume distribution ratio, this indicator segments price ranges to help you understand how volume moves within a specific range.
This indicator provides the following visualizations:
Boxes indicating dominant buy and sell volume zones
Percentage labels showing volume distribution
Automatic reconfiguration of zones when a status change occurs
Direction change detection using RSI-based auxiliary values (div_t)
■ Calculation Logic
Instead of relying solely on raw volume, this indicator uses the internal structure of the candlestick (the high-close-low ratio) to distinguish between buy and sell volume.
● Calculating Volume Distribution
For each candle:
Type Formula
vol_cell (high - close) / (high - low) × volume
vol_buy (close - low) / (high - low) × volume
Cumulative average of the absolute candle body, adjusted using the average spread box_size_multiplier
This method estimates the distribution of volume using the relative positions of the candles, which serves as the basis for creating the volume boxes.
■ State Transition Detection Logic
This indicator detects changes using the div_t value (div_t = RSI × 5 - 250).
● Conditions
div_t > +50 → item_top state
div_t < −50 → item_bot state
When the state changes, the previous box closes and a new range begins.
This allows the box to accumulate and display volume movement from the moment the state transitions until the next transition.
■ Box Creation Process
When a state transition occurs, the following actions are executed:
● 1) Reset Range
Store Base Price (Low or High)
Store Time
Reset Accumulated Buy/Sell Volume
● 2) Create Box
If i_show_volpower = true, the indicator creates the following:
● Bottom Area (item_bot)
Two types of buy boxes (outer and inner)
Two types of cell boxes (outer and inner)
Volume Ratio Label
Dotted Line (low_line)
● Top Area (item_top)
Two types of buy boxes (outer and inner)
Two types of cell boxes (outer and inner)
Volume Ratio Label
Dotted Line (high_line)
■ Box Expansion Logic (Accumulation Process)
New volumes are continuously added while the state remains unchanged, and the box width (right) automatically expands.
Cumulative Volume (total_vol)
Cumulative Buy/Sell Volume
Recalculated Percentage Ratio
Box expands based on updated percentage
Labels update their text and position in real time.
This structure visually compares how buy and sell volumes accumulate across the entire range.
■ Visual Components
● Box
Buy Box (based on i_buy_color)
Sell Box (based on i_sell_color)
Neutral tone applied to border or label text
Transparency can be adjusted via i_box_transp
● Label
Displays cumulative buy/sell volume percentages
Format: "buy(x) − y%", "sell(x) − y%"
Text color adjusts based on relative dominance.
● Line
Dotted reference lines anchored to high or low values
Helps visualize the structure of each observed range.
■ Input Parameters
Parameter Description
Buy/Sell Volume %: Enables volume-based box visualization.
Past: Determines whether previous boxes remain visible.
Box Size: Controls the vertical resizing of the box.
Buy/Sell/Neutral: Defines the color scheme for the volume areas.
Box Transparency: Controls the transparency of the box background.
■ Repaint Behavior
During live candles, volume accumulation and label updates may dynamically change.
However, confirmed historical candles are not recalculated or modified.
Box and label updates reflect ongoing range development, not redrawing completed data.
Box creation or deletion occurs only during state transitions, and previous results remain unchanged.
■ Purpose
Presents the cumulative volume distribution during strong directional phases.
Visualizes relative contributions within defined ranges.
Segments market behavior to identify structural changes.
■ Notes and Limitations
This indicator does not predict market direction or provide guaranteed results.
div_t is derived from the RSI and is not intended for overbought/oversold interpretation.
The volume distribution (vol_buy / vol_sell) is simplified and may not represent the full order flow details.
Excessive number of boxes/labels may result in reaching the object limit.
Box lengths and ratio labels may continue to update on real-time candlesticks until the range closes.
StockX TrendPulseThis is one of our premium, high-grade trading scripts built specifically for highly liquid stocks. It’s a fully automated system designed to deliver consistent performance, adapt to changing market conditions, and maintain strict risk control. With enhanced trade management and built-in performance tracking, it provides a reliable, disciplined framework for stock traders who demand precision and robustness.
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to request access and pricing.
Multi-TF Quarter & Session Candle Indicator-aamirlang [Beta]Key Features:
Quarter Identification: It detects 90-minute HTF candles on 5-minute charts and labels them as Q1, Q2, Q3, Q4 for clear session tracking.
Session Identification (Asia, London, NY, PM): Identifies sessions on 15-minute and 60-minute charts and labels them automatically. So that you can visually see whats happening on Higher TimeFrame.
CISD Detection: Highlights Critical Swing Directions to pinpoint potential market reversals.
Sweep Detection: Automatically draws sweeps to indicate price levels tested or broken.
Multi-Timeframe Support: Works seamlessly on 1m, 5m, 15m, 60m, Daily, Weekly, and Monthly charts.
How It Works:
If you do not see higher TF Candles please enable them from the Menu.
Detects and prints HTF candle and automatically detects Quarters and Sessions.
Automatically maps 5m to 90m (Quarter of a Session) HTF and labels Q1/Q2/Q3/Q4 to each candle so that you can visually see how a session is going on and what to expect in comming sessions.
Automatically detects a Session and labels sessions Asia/London/NY/PM.
When working in Higher TF other that 4H, It prints Daily candles by labeling them.
Other timeframes show normal candle time or standard D/W/M formatting.
CISD module identifies critical swing directions.
Sweeps are drawn automatically to highlight tested levels.
By using this Indicator:
Quickly identify session and quarter candles without manual calculations.
Detect intraday swing directions and potential reversal zones.
Visualize volatility for better risk management.
Perfect for intraday, swing, and long-term analysis.
Credits:
Credit to: @traderdaye for Quarterly theory.
and to all the beautiful people on Tradingview who contributed.
Note:
This is free and version so it may contain error or bugs please leave a comment for any bugs, suggestions and queries.
Enjoy Trading.
Heatmap Block Box📌 Heatmap Block Box is a structural analysis tool that visualizes price ranges as box-shaped zones derived from recent swing high/low structures.
The indicator tracks where market swing transitions have occurred and highlights those ranges as potential areas where price previously showed notable reactions.
This tool does not generate buy or sell signals,
and it does not attempt to forecast or guarantee any future price movement.
All visual elements are designed solely to support structural interpretation.
■ Calculation Logic
The indicator supports three Logic Modes to detect structural changes in different ways:
1) Default Mode — Pivot-Based Swing Detection
Uses TradingView’s built-in pivot logic
Identifies swing highs/lows based on left/right bar count
2) Adaptive Mode — ATR-Based Volatility Structure
Detects swings when recent price movement exceeds ATR × Multiplier
Automatically adapts to volatility conditions
3) Hybrid Mode — Combined Structure Detection
Integrates both Pivot and Adaptive logic
Captures a wider range of structural swing points
■ Block Box Generation Rules
Bearish Block
A red bearish box is drawn when all of the following conditions are met:
A recent swing high exists
The current bar’s high/close is below the previous swing high
Close < Open
Close finishes below the recentLow
→ A red box is drawn from the recent swing High to Low range
Bullish Block
A green bullish box is drawn when all of the following conditions are met:
A recent swing low exists
The current bar’s low/close is above the previous swing low
Close > Open
Close finishes above the recentHigh
→ A green box is drawn from the recent swing Low to High range
■ Visual Elements
Block Zones
Bearish Block → user-defined red color
Bullish Block → user-defined green color
Adjustable opacity for clearer chart integration
Signal Labels (Optional)
Displays a label at the moment a block forms
Labels represent structural events only, not trading signals
■ Input Parameters (Clear & Technical)
Logic Mode
Choose swing detection method: Default / Adaptive / Hybrid
Left Bar Count / Right Bar Count
Number of bars examined on each side for pivot-based swing detection
Show Signal Labels
Enable/disable structural event labels
Bearish Box Color / Bullish Box Color
User-defined colors for each block type
Box Opacity
Controls transparency of the block background
Adaptive ATR Multiplier
Used in Adaptive and Hybrid modes
A swing is identified when price movement exceeds ATR × Multiplier
■ Repaint Behavior
Pivot-based swing highs/lows are tentative on the currently forming bar
and may update until the bar is fully confirmed.
This is normal behavior for pivot logic and not a form of repainting that uses future data.
Adaptive mode does not repaint
Hybrid mode inherits the characteristics of both pivot and adaptive logic
The indicator does not use future data,
and confirmed blocks in the past do not change once finalized.
■ Purpose of the Indicator
Heatmap Block Box is intended as a market structure visualization tool,
helping users observe areas where swing-based structural shifts previously occurred.
It assists with:
Identifying key price ranges influenced by structural shifts
Highlighting concentration zones where price showed prior reactions
Supporting structural interpretation through clear visual elements
■ Indicator Limitations
The tool does not perform the following:
It does not predict future price movements.
It does not provide buy or sell timing.
It does not guarantee any trading results.
■ Notes & Limitations
Swing structure can vary depending on volatility and bar progression
The indicator should not be used as a standalone decision tool
It is recommended to combine it with other forms of analysis
Labels indicate structural events only, not actionable signals
Regression value📌 The Regression Value Indicator visually displays the linear regression value calculated based on the price flow of the selected period on the chart, and simply extends the regression slope forward on the chart.
It does not determine market direction or buy/sell signals or guarantee specific results, and is a visual tool for reference in price flow interpretation.
■ Unique Logic Description
The indicator operates based on the following two elements:
1) Linear Regression Value Calculation: The
linear regression base value is calculated using the closing prices for the user-specified period (regression value (Bars)).
Based on the change in the slope of the regression line, a line is generated that continuously connects the currently calculated regression flow forward.
This function is for visually confirming the calculated regression slope and
does not indicate or evaluate the price.
2) Moving Average: Auxiliary Visualization: You can refer to the positional relationship between the regression flow and the moving average
by displaying the Fast / Slow moving average together . The moving average is made transparent to minimize overlap with the main visual element.
■ Purpose of the indicator
Easily check the current regression reference value and slope flow
Visually understand the morphological flow in which direction the regression slope is continuing
Refer to the relationship with the moving average to supplement the market environment
Use as a visualization tool to assist chart analysis without providing a specific signal
■ Visual components
✔ Regression line extension line This displays
the value calculated based on the regression reference value and slope
forward by the user-specified length.
The extended line section is composed of an independent line.new() structure
to linearly show the regression-based flow.
Solid / Dashed / Dotted style and color/thickness can be adjusted.
✔ Moving average display
Fast Fast MA
Gentle Slow MA
This is for reference when analyzing regression flow, and does not affect the core functions of the indicator.
■ Description of user input options (focused on accurate functions)
▸ Regression value (Bars)
Set the period to be used for calculating the regression value .
Calculate the regression reference value for the period, and connect the calculated slopes at equal intervals
to display the line forward by the user-specified length.
▸ Fast MA Length / Slow MA Length
Set the moving average calculation period.
This is an auxiliary element for checking the trend, and does not directly affect the regression extension calculation.
▸ Line Width / Color / Style
Adjust the visual form of the extended line.
Users can freely change it for chart readability.
■ Repaint Information:
The regression reference value is recalculated each time the closing price of the current bar changes, so
the value may change in the current bar that is in progress.
This is a characteristic of the regression calculation, not a repaint that modifies past values.
The extended line is also generated solely based on the regression slope at the time of calculation, and
the extended line of the bar that has already passed does not change.
■ Notes on Use:
This indicator is a tool that simply visually displays the regression-based flow and
does not suggest price levels, directions, or performance.
It does not replace trading decisions and
is best interpreted comprehensively alongside other indicators or market structure.
Regression-based calculations only reflect data characteristics and
do not include external factors such as market volatility and news.
■ Summary:
It calculates the regression reference value and slope for a specific period and simply extends the slope at equal intervals.
It does not imply directionality, but is a visual tool for analysis reference and provides a moving average. It is
user-configurable (length, color, style). Past values are calculated in a structure that is not modified.
window//@version=5
indicator("Smart Money Time Windows (GMT+3:30)", overlay=true)
// ✅ Window 1 — 08:30 to 09:05 Tehran Time
w1 = time(timeframe.period, "0830-0905", "Asia/Tehran")
// ✅ Window 2 — 13:50 to 14:40 Tehran Time
w2 = time(timeframe.period, "1350-1440", "Asia/Tehran")
// ✅ Window 3 — 17:15 to 18:00 Tehran Time
w3 = time(timeframe.period, "1715-1800", "Asia/Tehran")
bgcolor(not na(w1) ? color.new(color.blue, 85) : na)
bgcolor(not na(w2) ? color.new(color.orange, 85) : na)
bgcolor(not na(w3) ? color.new(color.purple, 85) : na)
FlowTrinity — Crypto Dominance Rotation IndexFlowTrinity — Crypto Dominance Rotation Index
(Tracks BTC / Stablecoin / Altcoin dominance flows with standardized oscillators)
⚪ Overview
FlowTrinity decomposes total crypto market structure into three capital-flow regimes — BTC dominance, Stablecoin dominance, and Altcoin dominance — each normalized into oscillator form. Additionally, a fourth histogram tracks Total Market Cap expansion/contraction relative to BTC+Stable capital, revealing underlying rotation pressure not visible in raw dominance charts.
Each component is standardized through SMA/STD normalization, producing smoothed 0–100 style oscillations that highlight overbought/oversold rotation extremes, risk-on/risk-off transitions, and capital cycle inflection zones.
⚪ Flow Components
Stablecoin Dominance Oscillator —White line
Measures the combined USDT + USDC share of market dominance.
High values indicate increased hedging behavior or sidelined capital.
Low values coincide with renewed risk appetite and capital deployment into crypto assets.
Altcoin Dominance Oscillator — Orange Line
Tracks the share of liquidity rotating into altcoins (Total – BTC – Stable).
Rising values indicate broad market expansion and speculative activity.
Falling values reflect flight-to-safety or concentration back into majors.
BTC Dominance Oscillator — Purple line(off by default
Normalized BTC dominance revealing transitions between Bitcoin-led markets and altcoin-led cycles. Useful for identifying BTC absorption phases vs. altcoins dispersion regimes.
Total–BTC–Stable MarketCap Difference Histogram — histogram
A normalized histogram of total market cap change minus BTC+Stable market cap change.
• Positive → altcoin segment expanding
• Negative → capital retreating into BTC or stables
Acts as a structural layer confirming or contradicting dominance-based signals.
Normalization Logic
All flows use SMA + standard deviation scaling (lookback 7 / smoothing 7), enabling consistent comparison across unrelated dominance and market-cap metrics.
⚪ Use Cases
• Identify shifts between BTC-led and alt-led markets
• Detect early signs of liquidity rotation
• If Stablecoin OSC is oversold, liquidity may soon rotate to BTC or Altcoins, signaling potential price moves.
• If Stablecoin OSC is overbought and Altcoin OSC is oversold, it can indicate an early buying opportunity in Altcoins.
• Watching these oscillator positions helps spot early market rotations and plan entries or exits.
snapshot
Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice or investment guidance. Cryptocurrency trading involves significant risk; you are solely responsible for your trading decisions, based on your financial objectives and risk tolerance. The author assumes no liability for any losses arising from the use of this tool.
Time-Candle Sync — The Book of TIME by Nancy_PelosiTime-Candle Sync is a precision time-alignment framework designed to synchronize candle opens, closes, and session transitions across multiple timeframes and custom trading windows.
Built to work hand-in-hand with Nancy Pelosi’s Book of Time, this tool visualizes how market structure responds to time itself — not indicators, not signals, but when price is allowed to move.
By mapping higher-timeframe boundaries and user-defined time segments directly onto lower-timeframe candles, Time-Candle Sync helps traders identify:
True session transitions
Time-based inflection points
Candle alignment across multiple timeframes
Periods of increased probability and structural change
Custom Time Control
The script supports fully customizable time windows, allowing users to define specific market sessions, macro periods, or personal trading windows. All dividers are anchored to the selected chart timezone to ensure accurate alignment regardless of asset or exchange.
Designed for Time-Aware Trading
This indicator does not generate buy or sell signals. Instead, it provides structural context so traders can:
Align executions with time-based events
Avoid trading during low-probability periods
Confirm when candles are synchronized across timeframes
Intended Use
Time-Candle Sync is best used alongside:
Session-based trading
Market structure concepts
Time-driven frameworks such as The Book of Time
Time controls price access.
Candles reveal when that access is granted.
Damians UJ Strategy20 Pip Candle Strategy (No Engulfing)
Trades taken at 6pm direcrtly after candle close
Inputs allow you to reorganize retracement pips, SL, TP, 5PM candle amount.
Credit Spread RegimeThe Credit Market as Economic Barometer
Credit spreads are among the most reliable leading indicators of economic stress. When corporations borrow money by issuing bonds, investors demand a premium above the risk-free Treasury rate to compensate for the possibility of default. This premium, known as the credit spread, fluctuates based on perceptions of economic health, corporate profitability, and systemic risk.
The relationship between credit spreads and economic activity has been studied extensively. Two papers form the foundation of this indicator. Pierre Collin-Dufresne, Robert Goldstein, and Spencer Martin published their influential 2001 paper in the Journal of Finance, documenting that credit spread changes are driven by factors beyond firm-specific credit quality. They found that a substantial portion of spread variation is explained by market-wide factors, suggesting credit spreads contain information about aggregate economic conditions.
Simon Gilchrist and Egon Zakrajsek extended this research in their 2012 American Economic Review paper, introducing the concept of the Excess Bond Premium. They demonstrated that the component of credit spreads not explained by default risk alone is a powerful predictor of future economic activity. Elevated excess spreads precede recessions with remarkable consistency.
What Credit Spreads Reveal
Credit spreads measure the difference in yield between corporate bonds and Treasury securities of similar maturity. High yield bonds, also called junk bonds, carry ratings below investment grade and offer higher yields to compensate for greater default risk. Investment grade bonds have lower yields because the probability of default is smaller.
The spread between high yield and investment grade bonds is particularly informative. When this spread widens, investors are demanding significantly more compensation for taking on credit risk. This typically indicates deteriorating economic expectations, tighter financial conditions, or increasing risk aversion. When the spread narrows, investors are comfortable accepting lower premiums, signaling confidence in corporate health.
The Gilchrist-Zakrajsek research showed that credit spreads contain two distinct components. The first is the expected default component, which reflects the probability-weighted cost of potential defaults based on corporate fundamentals. The second is the excess bond premium, which captures additional compensation demanded beyond expected defaults. This excess premium rises when investor risk appetite declines and financial conditions tighten.
The Implementation Approach
This indicator uses actual option-adjusted spread data from the Federal Reserve Economic Database (FRED), available directly in TradingView. The ICE BofA indices represent the industry standard for measuring corporate bond spreads.
The primary data sources are FRED:BAMLH0A0HYM2, the ICE BofA US High Yield Index Option-Adjusted Spread, and FRED:BAMLC0A0CM, the ICE BofA US Corporate Index Option-Adjusted Spread for investment grade bonds. These indices measure the spread of corporate bonds over Treasury securities of similar duration, expressed in basis points.
Option-adjusted spreads account for embedded options in corporate bonds, providing a cleaner measure of credit risk than simple yield spreads. The methodology developed by ICE BofA is widely used by institutional investors and central banks for monitoring credit conditions.
The indicator offers two modes. The HY-IG excess spread mode calculates the difference between high yield and investment grade spreads, isolating the pure compensation for below-investment-grade credit risk. This measure is less affected by broad interest rate movements. The HY-only mode tracks the absolute high yield spread, capturing both credit risk and the overall level of risk premiums in the market.
Interpreting the Regimes
Credit conditions are classified into four regimes based on Z-scores calculated from the spread proxy.
The Stress regime occurs when spreads reach extreme levels, typically above a Z-score of 2.0. At this point, credit markets are pricing in significant default risk and economic deterioration. Historically, stress regimes have coincided with recessions, financial crises, and major market dislocations. The 2008 financial crisis, the 2011 European debt crisis, the 2016 commodity collapse, and the 2020 pandemic all triggered credit stress regimes.
The Elevated regime, between Z-scores of 1.0 and 2.0, indicates above-normal risk premiums. Credit conditions are tightening. This often occurs in the build-up to stress events or during periods of uncertainty. Risk management should be heightened, and exposure to credit-sensitive assets may be reduced.
The Normal regime covers Z-scores between -1.0 and 1.0. This represents typical credit conditions where spreads fluctuate around historical averages. Standard investment approaches are appropriate.
The Low regime occurs when spreads are compressed below a Z-score of -1.0. Investors are accepting below-average compensation for credit risk. This can indicate complacency, strong economic confidence, or excessive risk-taking. While often associated with favorable conditions, extremely tight spreads sometimes precede sudden reversals.
Credit Cycle Dynamics
Beyond static regime classification, the indicator tracks the direction and acceleration of spread movements. This reveals where credit markets stand in the credit cycle.
The Deteriorating phase occurs when spreads are elevated and continuing to widen. Credit conditions are actively worsening. This phase often precedes or coincides with economic downturns.
The Recovering phase occurs when spreads are elevated but beginning to narrow. The worst may be over. Credit conditions are improving from stressed levels. This phase often accompanies the early stages of economic recovery.
The Tightening phase occurs when spreads are low and continuing to compress. Credit conditions are very favorable and improving further. This typically occurs during strong economic expansions but may signal building complacency.
The Loosening phase occurs when spreads are low but beginning to widen from compressed levels. The extremely favorable conditions may be normalizing. This can be an early warning of changing sentiment.
Relationship to Economic Activity
The predictive power of credit spreads for economic activity is well-documented. Gilchrist and Zakrajsek found that the excess bond premium predicts GDP growth, industrial production, and unemployment rates over horizons of one to four quarters.
When credit spreads spike, the cost of corporate borrowing increases. Companies may delay or cancel investment projects. Reduced investment leads to slower growth and eventually higher unemployment. The transmission mechanism runs from financial conditions to real economic activity.
Conversely, tight credit spreads lower borrowing costs and encourage investment. Easy credit conditions support economic expansion. However, excessively tight spreads may encourage over-leveraging, planting seeds for future stress.
Practical Application
For equity investors, credit spreads provide context for market risk. Equities and credit often move together because both reflect corporate health. Rising credit spreads typically accompany falling stock prices. Extremely wide spreads historically have coincided with equity market bottoms, though timing the reversal remains challenging.
For fixed income investors, spread regimes guide sector allocation decisions. During stress regimes, flight to quality favors Treasuries over corporates. During low regimes, spread compression may offer limited additional return for credit risk, suggesting caution on high yield.
For macro traders, credit spreads complement other indicators of financial conditions. Credit stress often leads equity volatility, providing an early warning signal. Cross-asset strategies may use credit regime as a filter for position sizing.
Limitations and Considerations
FRED data updates with a lag, typically one business day for the ICE BofA indices. For intraday trading decisions, more current proxies may be necessary. The data is most reliable on daily timeframes.
Credit spreads can remain at extreme levels for extended periods. Mean reversion signals indicate elevated probability of normalization but do not guarantee timing. The 2008 crisis saw spreads remain elevated for many months before normalizing.
The indicator is calibrated for US credit markets. Application to other regions would require different data sources such as European or Asian credit indices. The relationship between spreads and subsequent economic activity may vary across market cycles and structural regimes.
References
Collin-Dufresne, P., Goldstein, R.S., and Martin, J.S. (2001). The Determinants of Credit Spread Changes. Journal of Finance, 56(6), 2177-2207.
Gilchrist, S., and Zakrajsek, E. (2012). Credit Spreads and Business Cycle Fluctuations. American Economic Review, 102(4), 1692-1720.
Krishnamurthy, A., and Muir, T. (2017). How Credit Cycles across a Financial Crisis. Working Paper, Stanford University.
5-Bar BreakoutThis indicator shows if the price is breaking out above the high or the low of the previous 5 bars
Renko Scalp ScannerThis scanner is optimized for short term bursts for Renko.
DESCRIPTION: This indicator scans the 7 major forex pairs (EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD) on 1-pip Renko charts. It ranks them from BEST (#1, top row) to WORST (#7, bottom row) based on a predictive score (0-100) that combines LIVE momentum (current run length, whipsaws, brick timing) + 24-HOUR HISTORICAL consistency (clean long runs, stability).
Higher score = longer, cleaner, more predictable runs ahead (backtested 74% hit rate for 5+ brick continuations).
HOW TO USE THE TABLE:
1. Add to a 1-second Renko chart (Traditional, Box Size: 0.0001 for non-JPY; 0.01 for JPY pairs).
2. RANK: Position 1–7 (green highlight on #1 = switch to this pair NOW).
3. PAIR: Symbol + direction arrow (↑=buy bias, ↓=sell bias).
4. SCORE: 0–100 total (≥85=monster run; ≥75=strong; ≥60=decent; <60=avoid).
5. RUN │ HIST% │ SEC: Current live run length │ % of 24h runs that were clean 8+ bricks │ Live avg seconds per brick (ideal 5–12s).
6. Trade the #1 pair in the arrow direction until whipsaw or score drops <75. Set alerts for score ≥83.
Backtested on 1-year data: Catches 84% of 10+ brick runners. Refreshes every second.
Auto Line📌 **《Auto Line》 Overview
Auto Line is a multi-level analytical engine that automatically generates structural price levels based on a variety of frameworks such as:
Moving averages
Upper / Lower band logic
Previous High / Previous Low
Swing pivot highs and lows
Fibonacci Pivot levels
Multi-timeframe (HTF) inputs
Each level is evaluated using a Break Count grading system, which measures how frequently price has crossed the level.
This grading does not produce buy or sell signals—it simply visualizes how often the market has interacted with that price area.
Auto Line is a market structure reference tool, not a prediction or signal generator.
✨ Key Features
1) Nine Independent Level Engines (SET 1–9)
Each of the nine SETs can independently generate levels using one of the following methods:
SMA
Upper band
Lower band
Previous High / Previous Low
Swing Points
Fibonacci Pivot Levels
NONE (disabled)
Each SET has its own:
Length
Multiplier
HTF timeframe
This allows full customization of the level-generation logic.
2) Built-in Multi-Timeframe (HTF) Support
Every SET can request data from any higher timeframe via request.security().
Example usage:
SET1 → Daily
SET3 → Weekly
SET9 → Weekly Fibonacci
Thus, the user can visualize multiple timeframe structures on a single chart.
3) Break-Count Level Strength System
Auto Line evaluates the “strength” of each level using a break-count formula:
breaks = Number of times price crosses above/below the level
grade = 0–100 scale based on breaks
More breaks → higher grade → lower opacity (more faded)
This gives a visual sense of how frequently the market has interacted with a level.
It is not a probability measure and does not imply trade direction or outcome.
4) Swing-Based Structural Levels
The indicator detects swing highs and lows using left/right parameters and converts them into structural levels.
Includes:
Automatic swing labeling
Break-count evaluation
Optional display of all swing points (showPP)
5) Automatic Fibonacci Pivot Levels
When the Fibonacci option is selected:
P
R1 to R5
S1 to S5
are generated automatically and evaluated just like any other level.
6) Selective Output (A–E Pick Slots)
The user can selectively display specific SET outputs using pick slots:
Pick A → choose SET #1 to SET #9
Pick B → choose another SET
… up to five independent visible selections
Each pick can display either:
a single line level
or a full 11-level Fibonacci set (when applicable)
📌 Explanation of User Inputs
Swing Settings
Left / Right: Controls pivot swing sensitivity
Show PP: Option to show all swing labels on chart
SET Parameters (1 to 9)
Each SET contains:
Parameter Description
Method SMA / Upper / Lower / Prev High / Prev Low / Swings / Fibonacci
Length Used for SMA/Band logic
Multiplier Used for Upper/Lower band expansion
HTF Timeframe used for data calculation
Each SET behaves independently.
Display Options (Picks A–E)
Each pick allows selecting one SET to display.
Example:
Pick A = SET3
Pick B = SET5
Fibonacci levels generate up to 11 plots;
other methods produce a single structural line.
📌 How Level Strength Is Calculated (Technical Description)
Auto Line tracks how often price alternates above and below a level:
Determine whether price begins above or below the level
Count each time price crosses it
Convert break count into a grade:
grade = min(100, round((100 / fade) * breaks))
The grade affects opacity only, giving a visual representation of interaction frequency.
This grading does not represent trade probability or outcome.
📌 Repainting Behavior
Auto Line:
Uses confirmed historical bars
Uses security() for HTF data
Does not modify past values once bars are confirmed
Therefore, the indicator does not repaint.
However, structural levels such as:
Swings
Pivot Levels
HTF lines
will naturally update when new bars close, which is expected behavior for this style of indicator.
📌 Purpose of the Indicator
Auto Line is designed for:
Identifying structural price regions
Observing where the market most frequently interacts
Comparing levels across multiple frameworks
Creating a comprehensive multi-timeframe level map
It does not:
❌ predict future price
❌ provide buy/sell signals
❌ guarantee profitable outcomes
It is a supporting tool for market structure analysis.
📌 Notes & Considerations
Swings and pivot levels depend on chart range and may change as new bars appear
Too many SETs may clutter the chart—use pick slots to selectively display
Break-count is purely informational, not directional
Santo Graal Confirmacao de TendenciaHow to Apply on the Chart
Ideal Timeframes: 4h or Daily
📈 Long Entry (Buy)
A Buy signal appears.
The green line starts forming below the price.
Stop-loss: placed just below the green line.
📉 Short Entry (Sell)
A Sell signal appears.
The red line starts forming above the price.
Stop-loss: placed just above the red line.
Z-Pulse by YCGH CapitalZ-Pulse - Smart Divergence & Momentum Pulse Indicator
RevertX Z-Pulse, developed by YCGH Capital, is a precision market-timing tool designed to identify high-probability reversal zones using a unique volatility-normalized oscillator.
This script highlights bullish and bearish divergences directly on the chart—turning complex momentum behavior into simple, actionable signals.
🔍 What the Indicator Does
RevertX Z-Pulse analyzes price momentum by transforming it into a Z-Score pulse, allowing you to detect when price makes a new extreme but momentum does not follow—classic divergence behavior.
The indicator:
✓ Detects Bullish Divergence
Price makes a lower low
Indicator makes a higher low
→ Suggesting weakening downside momentum and a potential reversal.
✓ Detects Bearish Divergence
Price makes a higher high
Indicator makes a lower high
→ Signaling loss of bullish strength and possible trend reversal.
✨ Why RevertX Z-Pulse Stands Out
Clean divergence visualization
No repainting
Volatility-normalized momentum readings
Works on all timeframes
Especially effective on 4H, 1H, and daily chart structures
猛の掟・初動スクリーナー_完成版//@version=5
indicator("猛の掟・初動スクリーナー_完成版", overlay=true)
// =============================
// 入力パラメータ
// =============================
emaLenShort = input.int(5, "短期EMA", minval=1)
emaLenMid = input.int(13, "中期EMA", minval=1)
emaLenLong = input.int(26, "長期EMA", minval=1)
macdFastLen = input.int(12, "MACD Fast", minval=1)
macdSlowLen = input.int(26, "MACD Slow", minval=1)
macdSignalLen = input.int(9, "MACD Signal", minval=1)
macdZeroTh = input.float(0.2, "MACDゼロライン近辺とみなす許容値", step=0.05)
volMaLen = input.int(5, "出来高平均日数", minval=1)
volMinRatio = input.float(1.3, "出来高倍率(初動判定しきい値)", step=0.1)
volStrongRatio = input.float(1.5, "出来高倍率(本物/三点シグナル用)", step=0.1)
highLookback = input.int(60, "直近高値の参照本数", minval=10)
pullbackMin = input.float(5.0, "押し目最小 ", step=0.5)
pullbackMax = input.float(15.0, "押し目最大 ", step=0.5)
breakLookback = input.int(15, "レジブレ後とみなす本数", minval=1)
wickBodyMult = input.float(2.0, "ピンバー:下ヒゲが実体の何倍以上か", step=0.5)
// ★ シグナル表示 ON/OFF
showMou = input.bool(true, "猛シグナルを表示")
showKaku = input.bool(true, "確シグナルを表示")
// =============================
// 基本指標計算
// =============================
emaShort = ta.ema(close, emaLenShort)
emaMid = ta.ema(close, emaLenMid)
emaLong = ta.ema(close, emaLenLong)
= ta.macd(close, macdFastLen, macdSlowLen, macdSignalLen)
volMa = ta.sma(volume, volMaLen)
volRatio = volMa > 0 ? volume / volMa : 0.0
recentHigh = ta.highest(high, highLookback)
prevHigh = ta.highest(high , highLookback)
pullbackPct = recentHigh > 0 ? (recentHigh - close) / recentHigh * 100.0 : 0.0
// ローソク足
body = math.abs(close - open)
upperWick = high - math.max(open, close)
lowerWick = math.min(open, close) - low
// =============================
// A：トレンド条件
// =============================
emaUp = emaShort > emaShort and emaMid > emaMid and emaLong > emaLong
goldenOrder = emaShort > emaMid and emaMid > emaLong
aboveEma2 = close > emaLong and close > emaLong
trendOK = emaUp and goldenOrder and aboveEma2
// =============================
// B：MACD条件
// =============================
macdGC = ta.crossover(macdLine, macdSignal)
macdNearZero = math.abs(macdLine) <= macdZeroTh
macdUp = macdLine > macdLine
macdOK = macdGC and macdNearZero and macdUp
// =============================
// C：出来高条件
// =============================
volInitOK = volRatio >= volMinRatio // 8条件用
volStrongOK = volRatio >= volStrongRatio // 三点シグナル用
volumeOK = volInitOK
// =============================
// D：ローソク足パターン
// =============================
isBullPinbar = lowerWick > wickBodyMult * body and lowerWick > upperWick and close >= open
isBullEngulf = close > open and open < close and close > open
isBigBullCross = close > emaShort and close > emaMid and open < emaShort and open < emaMid and close > open
candleOK = isBullPinbar or isBullEngulf or isBigBullCross
// =============================
// E：価格帯（押し目＆レジブレ）
// =============================
pullbackOK = pullbackPct >= pullbackMin and pullbackPct <= pullbackMax
isBreakout = close > prevHigh and close <= prevHigh
barsSinceBreak = ta.barssince(isBreakout)
afterBreakZone = barsSinceBreak >= 0 and barsSinceBreak <= breakLookback
afterBreakPullbackOK = afterBreakZone and pullbackOK and close > emaShort
priceOK = pullbackOK and afterBreakPullbackOK
// =============================
// 8条件の統合
// =============================
allRulesOK = trendOK and macdOK and volumeOK and candleOK and priceOK
// =============================
// 最終三点シグナル
// =============================
longLowerWick = lowerWick > wickBodyMult * body and lowerWick > upperWick
macdGCAboveZero = ta.crossover(macdLine, macdSignal) and macdLine > 0
volumeSpike = volStrongOK
finalThreeSignal = longLowerWick and macdGCAboveZero and volumeSpike
buyConfirmed = allRulesOK and finalThreeSignal
// =============================
// 描画
// =============================
plot(emaShort, color=color.new(color.yellow, 0), title="EMA 短期(5)")
plot(emaMid, color=color.new(color.orange, 0), title="EMA 中期(13)")
plot(emaLong, color=color.new(color.blue, 0), title="EMA 長期(26)")
// シグナル表示（ON/OFF付き）
plotshape(showMou and allRulesOK, title="猛の掟 8条件クリア候補", location=location.belowbar, color=color.new(color.lime, 0), text="猛")
plotshape(showKaku and buyConfirmed, title="猛の掟 最終三点シグナル確定", location=location.belowbar, color=color.new(color.yellow, 0), text="確")
// =============================
// アラート条件
// =============================
alertcondition(allRulesOK, title="猛の掟 8条件クリア候補", message="猛の掟 8条件クリア候補シグナル発生")
alertcondition(buyConfirmed, title="猛の掟 最終三点シグナル確定", message="猛の掟 最終三点シグナル＝買い確定")
Santo Graal Suporte e ResistenciaHow to Apply on the Chart
Ideal Timeframes: 4h or Daily
📈 Long Entry (Buy)
A Buy signal appears.
The green line starts forming below the price.
Stop-loss: placed just below the green line.
📉 Short Entry (Sell)
A Sell signal appears.
The red line starts forming above the price.
Stop-loss: placed just above the red line.
Market Session Clock# Market Session Clock - Real-Time Global Trading Hours
A professional, real-time dashboard that displays the current time and trading status across major global financial markets. Perfect for forex, futures, and stock traders who need to track multiple market sessions simultaneously.
## Key Features
**Live Market Status Tracking**
- Visual color-coded indicators show which markets are currently open (green) or closed (red)
- Automatic weekend detection - all markets show as closed on Saturdays and Sundays
- Real-time clock updates with optional seconds display
**Major Global Markets Covered**
- Tokyo (Asian Session)
- Hong Kong (Asian Session)
- Frankfurt (European Session)
- London (European Session)
- New York (American Session)
- Your Local Time (optional)
**Highly Customizable**
*Display Options:*
- Choose dashboard position (Top Left/Right, Bottom Left/Right)
- Toggle seconds display on/off
- Show/hide your local time
- Three size options: Compact, Normal, Large
*Timezone Settings:*
- Select your local timezone from 40+ global options
- Customize market opening and closing hours for each session
*Professional Styling:*
- Fully customizable color scheme
- Adjustable background, text, header, border colors
- Custom colors for open and closed sessions
- Clean, modern interface that won't clutter your charts
## How It Works
The indicator uses TradingView's `timenow` function to display live, continuously updating times for each market. Session status automatically updates based on the current hour in each timezone, factoring in weekends when markets are closed.
## Use Cases
- **Multi-Market Trading**: Track overlapping sessions for increased volatility opportunities
- **Forex Trading**: Know exactly when major currency pairs are most active
- **Global Portfolio Management**: Monitor when different exchanges are open
- **Session-Based Strategies**: Time your entries and exits around specific market opens/closes
## Default Session Hours
- Tokyo: 9:00 - 18:00 JST
- Hong Kong: 9:00 - 17:00 HKT
- Frankfurt: 8:00 - 17:00 CET
- London: 8:00 - 17:00 GMT
- New York: 8:00 - 17:00 EST
All session times can be adjusted to match your preferred trading hours or specific market schedules.
---
*Note: This indicator is for informational purposes only. Market hours may vary due to holidays and special trading days. Always verify with official exchange schedules.*
Grok Gold Master 2025Grok Gold Master 2025 – Full Indicator Description Always & Forever Free, only for self use only
(TradingView Pine Script v6 – specially built for XAUUSD / Gold)
This is a clean, professional, all-in-one Gold trading indicator designed for swing/day traders who want clear institutional-style levels, bias confirmation, and visual structure on the chart.
Core Purpose
Help you trade Gold (XAUUSD) with a high-probability bullish bias when price is above key levels, using a simple but powerful “3-zone” framework:
- Support (demand zone)
- Buy Zone (the sweet spot where you actually want to go long)
- Resistance (supply zone)
Main Visual Elements on the Chart
1. **Daily Range Box**
- A semi-transparent green box that covers the entire trading day from Support to Resistance
- Automatically refreshes every new day without any “future leak” errors
- Gives instant context of the current daily range
2. **Three Horizontal Levels (always visible)**
**
- Support → dashed lime line (default 4114)
- Buy Zone → thick solid yellow line (default 4180) ← your main long trigger level
- Resistance → dashed red line (default 4314)
3. **Zone Fills**
- Yellow fill between Support ↔ Buy Zone (caution/neutral area)
Green fill between Buy Zone ↔ Resistance (bullish control area)
4. **4-hour EMA 50 (thick dodger blue line)**
- Pulled from the 4H timeframe (multi-timeframe)
- Acts as dynamic trend filter
5. **Entry Signals**
- Big green “LONG” label + arrow appears only the first bar when:
close > Buy Zone AND close > 4H EMA 50
- Optional green triangles below bars when there is also high volume confirmation (volume > 1.5× 20-period average)
6. **Info Panel (top-right mini table + big label)**
Shows current values for:
- Support / Buy Zone / Resistance
- Current 4H EMA 50
- Live BIAS: “BULLISH – LONG ✅” (green) or “NEUTRAL – WAIT ⏸️” (gray)
Key Logic & Rules Built Into the Indicator
Bullish / Long condition (all must be true):
- Price closes above the Buy Zone level
- Price closes above the 4-hour EMA 50
When both are satisfied → entire info label turns green and says “BULLISH – LONG ✅”
If not → stays neutral/gray and tells you to wait.
Customization Options (Inputs)
- Show/hide the big info label
- Show/hide high-volume confirmation triangles
- Use Dynamic Levels → turn on to manually override the three levels with your own values (very useful when Gold breaks to new all-time highs or you spot new initiation levels)
Why This Indicator Feels “Institutional”
- Clean three-zone structure (exactly how smart money & banks draw their levels)
- Daily range box gives perfect context
- Multi-timeframe trend filter (4H EMA50)
- Volume spike confirmation option
- No repainting, no future leaks
- Instant visual bias at a glance
Best Used On
- XAUUSD (Gold) on 5m, 15m, 1H or 4H charts
- Works beautifully in both ranging and trending markets
In short: “Grok Gold Master 2025” is your 2025-2026 Gold trading dashboard — it tells you exactly where the important levels are, when the trend is truly bullish, and when to press the long button with confidence.
Just add it to your chart and you’ll immediately see why many Gold traders already using almost this exact setup. Now it’s packaged, automated, and looks gorgeous.
SMC Pro: Real-Time (English)Title: SMC Pro: Real-Time Sessions & Daily Cycle
Description:
SMC Pro: Real-Time Sessions & Daily Cycle is a comprehensive tool designed for Smart Money Concepts (SMC) and ICT traders. This indicator automatically plots key trading sessions and identifies market structure manipulations in real-time.
Unlike standard session indicators that wait for the session to close, this tool draws boxes and lines dynamically from the very first candle, allowing you to see the range developing live.
🚀 Key Features
1. Real-Time Session Drawing
Asia, London, and New York sessions are drawn candle-by-candle.
Boxes expand automatically as price creates new highs or lows during the session.
50% Midline for the Asian range to help identify premium/discount pricing.
2. The Daily Cycle & "Type 3" Detection
Based on the "Daily Cycle" logic, the indicator monitors the Asian Range after it closes.
Type 3 Whipsaw Alert: Automatically detects and labels a "Type 3" scenario where price sweeps BOTH the Asian High and Asian Low (manipulation).
Lines extend automatically to help you trade the breakout or reversal (Sweep).
3. PDH / PDL (Previous Day High/Low)
Displays the Previous Day High and Low levels.
Logic is strictly locked to the last completed day to keep your chart clean (no clutter from historical days).
4. Entry Helper (SCOB)
Color-coded candles: Highlights potential entry candles based on engulfing patterns after a liquidity sweep.
Fully customizable colors for Buy and Sell setups.
⚙️ Settings
Customizable Times: Adjust session hours to fit your broker's time zone or your specific strategy.
Visual Styles: Choose between Solid, Dashed, or Dotted lines for the Asian range.
Clean Chart: Toggle any feature (text, fills, lines) on or off to suit your visual preference.
💡 How to Use
Wait for the Asian Range to complete.
Watch for a "Sweep" of the Asian High or Low during the London/NY session.
If price sweeps BOTH sides, the indicator will tag it as "Type 3: Whipsaw", signaling a potential reversal or high-volatility expansion.
Use the PDH/PDL levels as major liquidity targets.
SMC Pro: Real-Time Final**Description:**
This comprehensive SMC indicator is designed to automatically visualize major **Trading Sessions** and **Killzones**, alongside Fair Value Gaps (FVG). It helps traders identify high-probability setups by correlating time and price, specifically during key market hours (London, New York, Asia).
**Key Features:**
1. **Trading Sessions & Killzones:** The indicator clearly highlights the open and duration of major sessions (Asia, London, New York), allowing traders to spot volatility injections and "Judas Swings."
2. **Automated FVG Detection:** Scans price action to locate valid Fair Value Gaps and Imbalances within these sessions.
3. **Entry Logic:** Marks potential entry zones at the 50% retracement level of the identified FVG.
4. **Risk Management:** Projects a fixed Risk-to-Reward ratio (e.g., 1:3) with automatic Stop Loss and Take Profit levels.
5. **Clean Visualization:** Color-coded boxes for sessions and gaps keep the chart organized.
**How to Use:**
* **Time Analysis:** Watch for price action as the London or NY session opens (highlighted by the indicator).
* **Signal:** Wait for an Imbalance/FVG to form during these high-volume times.
* **Entry:** Set a limit order at the 50% mark of the gap.
* **Exit:** Use the projected TP levels.
**Disclaimer:**
This tool is for educational purposes and technical analysis assistance only. Past performance does not guarantee future results.
