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@traderbinj ict essentialsHere is a professional, feature-rich description ready for you to copy and paste into the TradingView publishing window.
I have structured it to highlight the unique behaviors (like the "Sweep" logic and the "Chart Precision" for gaps) so users understand why this script is superior to basic session indicators.
Title: ICT Sessions, Liquidity & Gaps
Description:
This is a comprehensive, all-in-one toolkit designed specifically for ICT (Inner Circle Trader) and SMC (Smart Money Concepts) traders. It consolidates Session Timing, Liquidity Targets, High Timeframe Levels, and Opening Gaps into a single, clean, and highly customizable indicator.
Unlike standard session indicators, this script focuses on chart cleanliness and price action logic. It features "Smart Labels" that move out of the way of price, "Sweep Logic" that cuts lines once liquidity is taken, and "WYSIWYG" precision for opening gaps.
🚀 Key Features
1. Smart Session Highs & Lows (with Sweep Logic)
Automatically marks the Asia, London, and New York AM sessions.
Sweep Logic: Session High/Low lines extend to the right as liquidity targets. However, the moment price sweeps (touches) a level, the line stops extending and "cuts" exactly at that candle. This keeps your chart clean and shows you exactly where liquidity was taken.
Smart Labels: Labels float to the right of current price. When a sweep occurs, the label jumps to the left of the sweep candle so it never obscures the wick.
Auto-Hide: Session boxes and lines automatically hide on timeframes higher than 1 Hour to prevent clutter.
Box Toggle: You can now toggle the colored background boxes ON/OFF individually while keeping the High/Low lines active.
2. High Timeframe (HTF) Context
PDH / PDL: Previous Day High & Low.
PWH / PWL: Previous Week High & Low.
Customizable: You can now change the line style (Solid, Dashed, Dotted) for these levels in the settings to match your preferred chart aesthetic.
Note: These levels remain visible on ALL timeframes.
3. Opening Gaps (NWOG & NDOG)
NWOG (New Week Opening Gap): Marks the gap between the previous week's close and the current week's open.
Tracks the last 3 NWOGs (NWOG 1, 2, and 3).
Includes settings to toggle NWOG 2 or 3 on/off individually.
NDOG (New Day Opening Gap): Marks the gap between yesterday's close and today's open (shows latest only).
Chart Precision: Uses visual chart data rather than HTF security calls to ensure lines anchor exactly to the candle bodies you see on your screen (Futures/Crypto friendly).
Visuals: Displays clean lines for the Gap High and Low (no intrusive boxes).
4. Midnight Open (MNO) & Dividers
MNO: Marks the exact Opening Price at 00:00 New York time.
Logic ensures only the current day's MNO is shown (auto-deletes history).
Daily Divider: A customizable vertical line drawn at 00:00 NY time to visually separate trading days.
⚙️ Settings & Customization
Times: All times are hardcoded to UTC-5 (New York), so the indicator works correctly regardless of your local chart timezone.
Visuals: Every color, line width, line style (Solid/Dashed/Dotted), and label size is fully customizable.
Label Offset: Adjust how far the text labels sit from the lines to prevent overlapping.
🛠 How to Use
Add the indicator to your chart (Works best on M1, M5, M15).
Use the Session High/Low lines as immediate liquidity targets.
Watch for Sweeps: If a line stops extending, that liquidity has been purged.
Use NWOG/NDOG lines as key support/resistance zones or draw-on-liquidity.
Reference PDH/PWH for higher timeframe bias.
Disclaimer: This tool is for educational and informational purposes only and does not constitute financial advice.
ICT First FVG Per Session - Big Boss TradersICT First FVG Per Session like per session FVG Asia FVG london First P FVG and New york first P FVG
First FVG per Session - Big boss traders First FVG per Session like Asia first Persented FVG London and Ny
Cloud Matrix [CongTrader]Cloud Matrix – Ichimoku Confluence System
Cloud Matrix is a rule-based Ichimoku confluence framework, designed to filter noise and low-probability setups by requiring multi-condition confirmation instead of single signals.
Unlike traditional Ichimoku usage (visual interpretation), this script converts Ichimoku states into a matrix scoring model.
Each setup is validated using 5 structural dimensions:
• Tenkan–Kijun relationship
• Price position vs Kumo
• Kumo polarity (Span A vs Span B)
• Chikou Span confirmation
• Price vs Kijun acceptance
Only when ≥ 3 conditions align, signals are allowed.
🔹 Signal Logic
Cloud Matrix generates two validated signal types:
• TK Cross Signals – Tenkan/Kijun crosses filtered by matrix confirmation
• Kumo Break Signals – Breakouts confirmed by cloud structure and momentum context
All signals can be configured to trigger on candle close to reduce noise and repainting.
🔹 Trend Alignment (Optional)
An optional Higher Timeframe EMA200 filter is included:
• Long signals only in HTF uptrend
• Short signals only in HTF downtrend
This improves consistency by preventing counter-trend trades.
🔹 Presets
Built-in presets allow fast adaptation:
• Traditional Ichimoku
• Crypto Fast
• Crypto Medium
• Custom mode
🔹 Usage
Use Cloud Matrix as a decision filter, not a buy/sell machine:
identify trend → wait for TK cross or Kumo break → confirm matrix alignment → execute with price action and structure-based risk management...
EURUSD Macro-FX ScoreAdvanced fundamental and technical analysis of the eur/usd for long-term trading/forecasting. Recommended to use in a daily chart. Follow for more tools and ideas
Ethe Pro - Liquidity & Whales v2🎯 Indicator Objective:
To help you identify entry and exit opportunities more easily and clearly with direct visual signals.
📊 Indicator Components:
1. Core Indicators:
PSI (Strength Indicator):
· Based on RSI
· 🟢 40-80: Safe buying zone
· 🔴 Below 30 or above 70: Danger zone
MXCD (Trend Indicator):
· Based on CCI
· 🟢 Positive = Bullish trend
· 🔴 Negative = Bearish trend
Momentum:
· Speed of price movement
· 🟢 Positive = Upward acceleration
· 🔴 Negative = Downward acceleration
2. Visual Signals:
🔺 Buy Signals:
· Strong Buy 🟢 (Large Green Label):
· PSI between 45-65 ✅
· Positive MXCD ✅
· High trading volume ✅
· Regular Buy △ (Small Triangle):
· Any of the above conditions
🔻 Sell Signals:
· Strong Sell 🔴 (Large Red Label):
· PSI below 25 or above 75 ✅
· Negative MXCD ✅
· High trading volume ✅
· Regular Sell ▽ (Small Triangle):
· Any of the above conditions
3. Auxiliary Tools:
Moving Averages:
· Orange (EMA 9): Fast average
· Blue (EMA 21): Slow average
· Trend: Determines if market is bullish or bearish
Support & Resistance:
· Resistance 🔴: Highest price in 10 candles
· Support 🟢: Lowest price in 10 candles
🎮 How to Use the Indicator:
Step by Step:
1. Look for signals on the chart:
· 🔺 Green triangle = Possible buy entry
· 🔻 Red triangle = Possible sell entry
2. Check the table:
· Confirm indicator alignment
· Check overall market trend
3. Make a decision:
· If strong signal + confirmed trend = Enter
· If conflicting indicators = Wait
Practical Examples:
Example 1: Good Buy
· 🔺 Strong buy signal
· PSI: 55 🟢
· MXCD: 0.4 🟢
· Trend: Bullish 🟢
· Momentum: +2% 🟢
Example 2: Good Sell
· 🔻 Strong sell signal
· PSI: 80 🔴
· MXCD: -0.5 🔴
· Trend: Bearish 🔴
· Momentum: -3% 🔴
Example 3: Wait
· No clear signal
· PSI: 70 ⚠️ (on the edge)
· MXCD: 0.1 ⚠️ (weak)
· Trend: Sideways ⚠️
💡 Usage Tips:
Use the indicator with:
· ✅ Candlestick analysis
· ✅ Fundamental news
· ✅ Capital management
Avoid:
· ❌ Relying on the indicator alone
· ❌ Entering without stop loss
· ❌ Trading against the overall trend
⚙️ Optimal Settings:
For Sideways Markets:
· Use regular signals △ ▽
· Focus on support & resistance areas
For Trending Markets:
· Use strong signals 🟢 🔴
· Follow moving average direction
🎯 New Features:
1. Clearer signals - Visible directly on the chart
2. Simpler conditions - More signals appear
3. Auxiliary indicators - Help with confirmation
4. Alerts - Notify you of strong signals
The indicator is now more effective and easier to use! 🚀
👀 Visual Signals on the Chart:
🐋 Whale Buy:
· Color: Gold
· Shape: Large label
· Text: 🐋
· Location: Below candle
🦈 Whale Sell:
· Color: Purple
· Shape: Large label
· Text: 🦈
· Location: Above candle
📊 Alert Display in Table:
In the table you'll see:
· 🐋 Whale Buy: Yes/No
· 🦈 Whale Sell: Yes/No
· Whale Activity: 🔥 Very Active / ⚡ Active / 💡 Moderate / 💤 Calm
🎯 Whale Signal Conditions:
For Whale Buy 🐋:
· Trading volume 3x average ✅
· MXCD > 0.3 ✅
· PSI > 55 ✅
· Close price > Open price ✅
For Whale Sell 🦈:
· Trading volume 3x average ✅
· MXCD < -0.3 ✅
· PSI < 45 ✅
· Close price < Open price ✅
💡 Tips for Maximizing Alerts:
For Instant Alerts:
· Enable notifications on mobile
· Use distinctive tone for whale alerts
· Apply indicator to your important assets
For Continuous Monitoring:
· Regularly check the table
· Watch whale activity levels
· Monitor volume changes
🚨 When to Trust Whale Signals:
Trust when:
· ✅ Volume is huge (200%+)
· ✅ Coincides with key levels
· ✅ Confirmed by other indicators
· ✅ Clear market trend
Be cautious when:
· ❌ Single signal without confirmation
· ❌ During major news events
· ❌ Against general trend
⚙️ To Activate Alerts:
1. Right-click on chart
2. Select "Add Alert"
3. In "Condition" section:
· Select indicator name
· Choose "Whale Buy" or "Whale Sell"
4. Set preferred alert method
Now you'll receive alerts when whales move! 🎯
TruTrend Market Bias PRO+ (Responsive)TruTrend Pro+ — Advanced Market Bias & Signal System
TruTrend Pro+ is a premium, real-time trading system built to identify market bias, momentum shifts, and high-probability buy/sell opportunities with clarity and precision.
Pro+ analyzes trend structure, momentum strength, volatility, and higher-timeframe alignment to filter out noise and highlight only the most meaningful moves. Signals update live and are designed to appear early enough to capture the move, while still maintaining confirmation to avoid chop.
This is not a repainting indicator.
Signals are generated in real time and adapt as price evolves.
What Pro+ Helps You Do
• Identify bullish vs bearish market bias
• Catch momentum shifts and reversals
• Stay aligned with the dominant trend
• Avoid low-quality, sideways conditions
• Enter with structure instead of emotion
Designed For
• Stocks
• Crypto
• Futures
• Options
• Forex
Works across scalping, day trading, and swing trading on any timeframe.
Access
This script is Public & Invite-Only.
To use Pro+, you must subscribe via the official access link below and enter your TradingView username to receive instant access.
🔐 Subscribe here: whop.com
Credit Cycle IndexThe Credit Cycle Index represents a systematic approach to measuring financial market conditions through the aggregation of multiple credit and risk metrics. This indicator draws conceptual inspiration from academic research on credit cycles and their relationship to asset returns, building on the work of Gilchrist and Zakrajsek (2012) who demonstrated that credit spreads contain significant predictive information about economic activity and equity market performance. The indicator synthesizes publicly available market data into a unified framework that captures shifts in financial conditions before they become apparent in price action.
The theoretical foundation of credit cycle analysis rests on decades of research documenting the relationship between credit market conditions and asset returns. Bernanke and Gertler (1995) established the credit channel of monetary policy transmission, demonstrating how financial conditions amplify and propagate economic shocks through the broader economy. Schularick and Taylor (2012) documented how credit growth and credit conditions historically preceded major market dislocations, while Krishnamurthy and Muir (2017) showed that credit market variables exhibit predictable cyclical patterns that correlate with subsequent equity returns. These empirical findings suggest that monitoring credit conditions provides valuable information about the risk environment facing investors.
Unlike sentiment indicators that employ contrarian logic based on the assumption that crowd psychology overshoots at extremes, the Credit Cycle Index operates on regime-based principles. Credit market conditions tend to persist rather than mean-revert quickly. Favorable credit conditions typically support continued risk asset performance, while deteriorating conditions often precede extended periods of weakness. This approach recognizes that credit cycles operate on different timescales than sentiment cycles and require different strategic responses.
Methodology and calculation framework
The methodology underlying the Credit Cycle Index incorporates statistical normalization techniques that transform raw market data into comparable standardized scores. Each component factor undergoes robust calculation using median absolute deviation to reduce sensitivity to outliers, a technique that proves particularly valuable during market stress when traditional standard deviation measures become unreliable. These normalized components aggregate using a weighting scheme that adjusts dynamically based on prevailing market conditions, with stress-sensitive components receiving increased weight during periods of elevated market vulnerability.
The model produces values on a scale from zero to one hundred, where higher readings indicate favorable financial conditions and lower readings signal deteriorating conditions. Readings above seventy suggest healthy credit environments where risk assets typically perform well. The zone between forty and seventy represents normal conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions across multiple components.
The model incorporates quality filters designed to enhance signal reliability. A consensus filter examines whether multiple underlying components align in the same direction, adding weight to signals when broad agreement exists across different market factors. A momentum filter requires positive index momentum to persist for a minimum duration before confirming entry signals, preventing premature positioning during temporary rebounds within deteriorating environments. These refinements reduce the probability of acting on spurious readings.
Professional application and portfolio integration
Professional portfolio managers recognize the value of credit condition indicators as tools for risk management and tactical allocation. The fundamental insight underlying credit-based strategies is empirically robust: favorable credit conditions create supportive environments for risk assets, while deteriorating conditions warrant defensive positioning. Lopez-Salido, Stein and Zakrajsek (2017) found that credit market sentiment significantly predicts economic activity and asset returns, with their research suggesting that credit conditions lead equity market performance by several months.
For institutional investors operating with fiduciary responsibilities, the Credit Cycle Index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or adjustments to tactical allocation overlays. The indicator proves valuable when it diverges from prevailing market narratives, as such divergences often precede meaningful market inflections. Systematic investors can incorporate the index as a conditioning variable that adjusts position sizing based on the prevailing credit environment.
The integration of credit analysis into investment practice finds support in the concept that credit markets often lead equity markets in recognizing fundamental shifts. Credit market participants including bond investors and lenders frequently possess informational advantages regarding corporate financial health and economic conditions. When credit conditions deteriorate, this often reflects information that has not yet fully incorporated into equity prices, creating opportunities for investors who monitor these signals systematically.
Practical implementation for individual investors
The practical implementation of the indicator follows straightforward principles. When the index rises into the favorable zone above seventy with quality filter confirmation, this suggests credit conditions support risk asset exposure. When the index falls below the caution threshold of forty, defensive positioning becomes appropriate. This could manifest as reducing equity allocations, increasing cash reserves, or implementing protective strategies. The zone between these thresholds suggests balanced conditions where other analytical frameworks should take precedence.
Individual investors can derive benefit from the indicator by treating readings as alerts warranting examination of portfolio positioning. A reading in the favorable zone might prompt consideration of whether current equity exposure aligns with target allocations. A reading in the stress zone could trigger review of whether risk reduction measures merit consideration. The indicator should inform rather than dictate investment decisions, serving as one perspective within a broader analytical framework.
The decision to implement a credit condition indicator within an investment process requires consideration of how it complements existing approaches. Fundamental investors can use credit readings to assess whether the risk environment supports their positioning. Technical analysts may find that credit conditions help contextualize price patterns, with favorable conditions adding conviction to bullish setups and deteriorating conditions warranting caution. Quantitative investors might incorporate credit factors into multi-factor models or use them to adjust position sizing.
Trading behavior and strategy characteristics
The Credit Cycle Index employs a regime-following methodology that differs from both trend following and contrarian approaches. The trading logic accumulates positions when credit conditions indicate favorable environments and reduces exposure when conditions deteriorate. This approach positions with prevailing credit market signals rather than against them, recognizing that credit conditions exhibit persistence.
The observation that the indicator may signal favorable conditions while price volatility continues represents an inherent characteristic of regime-based strategies. When the indicator signals favorable conditions, this indicates that underlying credit metrics remain supportive despite surface-level price fluctuations. The indicator identifies phases where credit fundamentals support risk positioning, though short-term price movements may deviate from this underlying support.
Potential users should understand this behavioral characteristic before implementation. The strategy will maintain risk exposure during favorable credit conditions even when equity prices experience temporary weakness. It will advocate defensive positioning during credit deterioration even when equity prices appear stable. Success requires trust in the underlying credit signals and willingness to accept that price action and credit conditions may temporarily diverge.
Suitability and implementation requirements
The Credit Cycle Index aligns appropriately with investors possessing specific characteristics. First, a medium to long term investment horizon proves essential. Credit cycles operate over weeks to months rather than days, and the strategy requires patience to capture regime shifts. Second, a risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature of the indicator during stress periods. Third, comfort with systematic decision making helps maintain discipline when credit signals conflict with prevailing market narratives.
The indicator proves less suitable for day traders seeking intraday signals, investors who prefer purely contrarian approaches, those requiring constant market exposure regardless of conditions, and individuals unable to tolerate periods when the indicator conflicts with price momentum. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates despite its risk management merits.
For appropriate investors, the Credit Cycle Index offers a systematic framework for monitoring financial conditions and adjusting risk exposure accordingly. By providing an objective assessment of credit market health, the indicator helps investors recognize environment shifts and consider positioning adjustments when conditions warrant. The strategy demands patience and discipline but rewards those characteristics with the potential for improved risk-adjusted returns through drawdown reduction during stress periods.
References
Ang, A. and Timmermann, A. (2012) Regime changes and financial markets. Annual Review of Financial Economics, 4, pp. 313 to 337.
Bernanke, B.S. and Gertler, M. (1995) Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9(4), pp. 27 to 48.
Campbell, J.Y. and Thompson, S.B. (2008) Predicting excess stock returns out of sample: Can anything beat the historical average? The Review of Financial Studies, 21(4), pp. 1509 to 1531.
Collin-Dufresne, P., Goldstein, R.S. and Martin, J.S. (2001) The determinants of credit spread changes. The Journal of Finance, 56(6), pp. 2177 to 2207.
Gilchrist, S. and Zakrajsek, E. (2012) Credit spreads and business cycle fluctuations. American Economic Review, 102(4), pp. 1692 to 1720.
Hamilton, J.D. (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), pp. 357 to 384.
Krishnamurthy, A. and Muir, T. (2017) How credit cycles across a financial crisis. NBER Working Paper No. 23850.
Lopez-Salido, D., Stein, J.C. and Zakrajsek, E. (2017) Credit-market sentiment and the business cycle. The Quarterly Journal of Economics, 132(3), pp. 1373 to 1426.
Merton, R.C. (1974) On the pricing of corporate debt: The risk structure of interest rates. The Journal of Finance, 29(2), pp. 449 to 470.
Schularick, M. and Taylor, A.M. (2012) Credit booms gone bust: Monetary policy, leverage cycles, and financial crises, 1870 to 2008. American Economic Review, 102(2), pp. 1029 to 1061.
สคริปต์แบบชำระเงิน
Smart Money Sector RotationSTOP MISTAKING INFLATION FOR PERFORMANCE.
Your PnL might look green in nominal terms, but are you actually generating wealth, or just floating on a rising tide of liquidity?
The "Smart Money Sector Rotation" indicator is an institutional-grade dashboard designed to answer that single, critical question. It strips away the noise of nominal price action and benchmarks major assets against the "Honest Hurdle"—a dynamic baseline derived from M2 Money Supply, Inflation Breakevens, and Treasury Yields.
If an asset isn't beating the Hurdle, you aren't generating real wealth—you're just keeping pace with debasement.
THE HONEST FRAMEWORK Most screeners rank assets by simple percentage gain. This tool is different. It calculates a "Required Rate of Return" (Min Return) based on live Federal Reserve data (FRED).
1. Quantify the Debasement. We automatically fetch M2 Money Supply Growth and Inflation expectations to set the "floor."
2. Calculate Real Alpha. We measure how far an asset is trading above or below that floor.
3. Classify the Trend. Using RRG-style logic (Relative Rotation Graph), we categorize assets into four actionable phases based on their Real Yield and Momentum.
THE 4 MARKET PHASES Instead of vague signals, get a clear read on the asset's lifecycle:
ZONE 1: ELITE / LEADING (Cyan/Green) -- The State: Expansion. -- The Logic: The asset is generating positive Real Yields (beating the money printer) and has strong momentum relative to its peers.
ZONE 2: IMPROVING (Gold) -- The State: Recovery. -- The Logic: The asset may be below the Hurdle, but momentum is shifting positively. It is "waking up."
ZONE 3: LAGGING / WEAKENING (Orange/Red) -- The State: Contraction. -- The Logic: The asset is failing to keep up with debasement or is actively losing relative strength.
KEY FEATURES -- Auto-Macro Data: Connects directly to FRED for M2 (WM2NS), 10Y Inflation (T10YIE), and Yields (DGS10). No manual entry required. -- Trend Visualization: Tickers are marked with Green/Red indicators based on their 200-day Moving Average status. -- Prestige Color System: A dark-mode optimized, high-contrast palette designed for professional clarity. -- Multi-Asset Universe: Tracks Equities (XLK, XLE, etc.), Commodities (Gold, Silver, Oil), and Rates (TLT, HYG) in a single view.
HOW TO USE
1. Check the Header: Look at the "Min Ret" (Minimum Return). This is your beat-to-profit line.
2. Scan the Status: Focus on assets in the Elite or Leading zones for trend continuation. Watch Improving assets for potential reversals.
3. Respect the Trend: Use the SMA200 indicator as a final filter. A "Leading" status with a Red trend mark may indicate a trend that is rolling over.
DISCLAIMER This tool is for informational and educational purposes only. It visualizes macroeconomic data and does not constitute financial advice or a recommendation to buy/sell.
Mismatch Strategy | Madrimov tradeTitle
Mismatch Strategy by Madrimov trade – Gold vs DXY Impulse and Compression
Description
Concept
This indicator is based on a cross-market mismatch principle between Gold (XAUUSD) and the US Dollar Index (DXY).
It looks for situations where DXY expands aggressively while Gold temporarily fails to respond, creating a build-up of directional pressure that is often released once Gold breaks its short-term range.
Methodology (High-Level Overview)
The script evaluates three conditions on the same chart timeframe:
DXY Impulse Detection
A directional impulse on DXY is detected when the candle’s range exceeds a multiple of its ATR, indicating unusually strong participation rather than normal fluctuation.
Gold Compression Filter
At the same time, Gold must remain compressed, defined as a candle range significantly smaller than its own ATR.
This represents under-reaction or absorption despite external pressure.
Delayed Breakout Confirmation
Trades are triggered only after the mismatch occurs and Gold subsequently breaks its recent high or low over a configurable lookback period.
This delay avoids chasing impulses and focuses on release after compression.
Why This Is Different
Unlike traditional trend or correlation indicators, this script does not trade direction directly.
Instead, it evaluates effort versus response across two related markets, filtering out low-quality momentum and false breakouts.
The strategy focuses on:
Cross-asset pressure imbalance
Volatility-normalized conditions
Sequential confirmation rather than instant signals
How to Use
Designed primarily for XAUUSD charts
Works best on intraday timeframes (5m–15m)
Signals are strongest when aligned with higher-timeframe bias
Buy and sell signals are plotted directly on candles
Optional RR visualization can be enabled for reference
Limitations
Not predictive; signals are generated after candle close
Performance degrades during extremely low-liquidity or news-driven spikes
Intended as a decision-support tool, not a standalone trading system
ICT 9:30 Opening Range ModelICT First Presented FVG after 930 open which includes volume imbalances if any. 7AM-9:29AM Session H/L + Relative equal highs and lows. Opening range gap + Midnight Open
LinhFX Classic Pattern Pro (Clean v1)Head & Shoulders is a pattern-recognition indicator designed to automatically detect Head and Shoulders and Inverse Head and Shoulders formations, helping traders identify potential trend reversals.
The indicator analyzes price structure and market behavior, highlighting:
Left shoulder, head, and right shoulder
Neckline level
Breakout confirmation
Bullish and bearish reversal signals
It is suitable for Price Action, intraday and swing trading, and works across multiple timeframes and markets including Forex, Gold, Crypto, and Indices.
Best used in combination with breakout confirmation, momentum or key support and resistance levels.
Stock Fundamental Performance:EPS and Revenue growth [Dots3Red]This indicator provides a clear and intuitive overview of a company’s revenue and EPS growth, helping you quickly evaluate its financial performance over time.
All data is displayed in a clean, easy-to-read table below the main chart, so you can analyze fundamentals without cluttering price action.
The indicator supports both annual and quarterly data, making it suitable for long-term investors and short-term traders alike.
In addition to raw values, it also shows the percentage change relative to the previous period, allowing you to instantly identify acceleration or deceleration in growth.
To improve visual clarity:
Green values indicate an increase compared to the previous period
Red values indicate a decrease compared to the previous period
This color-coded system makes trend changes immediately visible at a glance.
How to use
By default, the table displays annual data for the last 5 years, offering a long-term perspective on company growth.
You can switch to quarterly data in the settings for a more granular analysis.
Limitations
Due to Pine Engine data request constraints, quarterly data is limited to a maximum lookback of 5 years.
Selecting a longer quarterly period may cause the data to appear out of chronological order. We are actively working on improvements to address this in future updates.
Tifz 2.0UTC Session Ranges and PD/PW Levels
Market Structure Indicator
Created by Tifz
This indicator displays trading sessions and key price levels using UTC time.
All calculations are based on intraday price data, not broker-specific daily candles, so the levels are consistent across all charts.
Session Ranges (UTC Time)
Displays Asia, Frankfurt, London, and New York sessions
Session start and end times can be changed in the settings
Each session is drawn as a shaded price range box
Session boxes have no border lines
The high-to-low price range of each session can be shown in pips below the box
Session box colours and transparency can be changed
These ranges show how price moves within each trading session.
Vertical Time Lines
Displays dotted vertical lines at specific UTC times
Default times are 08:00 UTC and 14:00 UTC
The time of each line can be changed
Line colour and line thickness can be changed
Lines do not extend across the entire chart and are limited in height
These lines are used to mark session opens or specific trading times.
Previous Day and Previous Week Levels (UTC)
Displays:
HOPD – High of the previous day
LOPD – Low of the previous day
HOPW – High of the previous week
LOPW – Low of the previous week
Levels are calculated using UTC day and week boundaries
Highs and lows are built from intraday price data
Levels are drawn as short horizontal lines, not full-width lines
Each line extends a set number of bars to the right
Each level has a label at the right end of the line
Line colour, line style, line thickness, and line length can be changed in the settings.
Who This Indicator Is For
Traders who use session-based analysis
Traders who use previous day and week highs and lows
Traders who want clean charts without unnecessary lines
Important Note
This indicator does not generate trade signals.
It only displays time-based sessions and price levels for analysis..
7 hours ago
Release Notes
Session Ranges (UTC Time)
Displays Asia, Frankfurt, London, and New York sessions
Session start and end times can be changed in the settings
Each session is drawn as a shaded price range box
Session boxes have no border lines
The high-to-low price range of each session can be shown in pips below the box
Session box colours and transparency can be changed
These ranges show how price moves within each trading session.
Vertical Time Lines
Displays dotted vertical lines at specific UTC times
Default times are 08:00 UTC and 14:00 UTC
The time of each line can be changed
Line colour and line thickness can be changed
Lines do not extend across the entire chart and are limited in height
These lines are used to mark session opens or specific trading times.
Previous Day and Previous Week Levels (UTC)
Displays:
HOPD – High of the previous day
LOPD – Low of the previous day
HOPW – High of the previous week
LOPW – Low of the previous week
Levels are calculated using UTC day and week boundaries
Highs and lows are built from intraday price data
Levels are drawn as short horizontal lines, not full-width lines
Each line extends a set number of bars to the right
Each level has a label at the right end of the line
Line colour, line style, line thickness, and line length can be changed in the settings.
Who This Indicator Is For
Traders who use session-based analysis
Traders who use previous day and week highs and lows
Traders who want clean charts without unnecessary lines
Important Note
This indicator does not generate trade signals.
It only displays time-based sessions and price levels for analysis.
A Humbled Trader Strategy + ChecklistHumbled Trader Swing Strategy + Checklist
This indicator is a complete swing trading system based on the high-probability strategies popularized by Humbled Trader. It is designed to help traders identify trend breakouts and low-risk momentum pullbacks on the Daily Timeframe.
The script combines trend filtering, automated resistance lines, and specific entry triggers into a single chart overlay, complete with a real-time Strategy Checklist Dashboard to confirm your setups instantly.
🎯 Core Components
Trend Filter (Purple Line): The 200 Simple Moving Average (SMA). This acts as your long-term trend filter. We only look for long trades when the price is above this line.
Momentum Guide (Orange Line): The 8 Exponential Moving Average (EMA). This tracks short-term momentum. In a strong trend, price will "ride" this line. We look to enter when price pulls back to touch this area.
Multi-Month Resistance (Orange Horizontal Line): Automatically plots the highest price over the last X Months (adjustable). This helps you instantly visualize the key level the stock needs to break out from.
Checklist Dashboard: A real-time table that evaluates Trend, Resistance, and Momentum conditions to give you a clear "✅ ENTER", "🚀 GAP UP", or "⏳ WAIT" signal.
🛠 How It Works
This indicator scans for two specific setups:
1. The Daily Gap Up ("GAP" Label) This signal appears when a stock shows strong momentum by gapping up overnight.
Condition: The stock opens at least 3% higher (adjustable) than the previous day's Close AND opens above the previous day's High.
Trend: Must be above the 200 SMA.
Visual: Marked with a green "GAP" label on the chart.
2. The Trend Pullback ("ENTER" Signal) This is a trend-following entry that lets you join an existing move with lower risk.
Condition: The stock is in an uptrend but dips down to touch or test the 8 EMA.
Validation: The candle must show a "dip" (red candle or lower close) to ensure we are buying a pullback, not chasing a top.
Visual: The Dashboard "Action Signal" will turn orange and display "✅ ENTER".
📋 The Checklist Dashboard
Located in the corner of your chart, this table provides a live status report for the current bar:
Trend (> 200 SMA):
🟢 Bullish: Price is in an uptrend. Safe to look for entries.
🔴 Bearish: Price is below the 200 SMA. Stay away.
Above Resistance?:
🟢 Breakout: Price has cleared the multi-month resistance line.
⚪ ---: Price is currently below the key breakout level.
Near 8 EMA?:
🟢 Yes: Price is near the "value zone" (8 EMA) for a potential pullback entry.
Action Signal:
🚀 GAP UP: Strong momentum gap detected.
✅ ENTER: Valid pullback entry detected.
⏳ WAIT: No clear setup found.
⚙️ Settings
Momentum EMA Length: Default is 8. Controls the sensitivity of the pullback line.
Trend SMA Length: Default is 200. The standard for long-term trend filtering.
Gap Up % Threshold: Default is 3.0%. Minimum overnight gap size required to trigger a signal.
Resistance Lookback (Months): Default is 3. The script will look back this many months to find and draw the key resistance line.
Table Position: Move the checklist to any corner of your screen.
⚠️ Disclaimer
This tool is for educational purposes only and does not constitute financial advice. Always manage your risk and use a stop loss.
Liquidity Levels D*W*M*Y### 📊 Session Levels & Live HOD / LOD
This indicator displays key intraday price levels and global trading session opens directly on the chart.
It is designed to help traders clearly identify daily structure, highs & lows, and time-based market behavior.
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### 🔹 Features
- ✅ Live High of Day (HOD) & Low of Day (LOD)
– updates in real time
– resets precisely at the daily UTC rollover
– no repainting levels
- ⏰ Global session timing (UTC)
- Sydney Open – 00:00 UTC
- Tokyo Open – 00:00 UTC
- Hong Kong Open – 01:30 UTC
- London Open – 08:00 UTC
- New York Open – 13:30 / 14:30 UTC (DST dependent)
- 📐 Clean visual layout
- horizontal levels with labels
- customizable colors, line styles, and extensions
- uncluttered chart design
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### 🎯 Best suited for
- Intraday and session-based traders
- Forex, indices, futures, and cryptocurrencies
- Scalping to short-term swing trading
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### ⚙️ Advantages
- Stable logic without duplicated calculations
- No historical recalculations
- Lightweight and performance-friendly
- Clear focus on price and time
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### 📌 Disclaimer
This indicator is for analysis purposes only and does not provide trading or investment advice.
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🚀 Built for traders who want to understand price action in relation to trading sessions.
Fair Value Gap (FVG) RFF001I dont what to say here but i need to write studd apparently, its really just fvgs
Monthly Chart Gold/Silver Strategy - NDAThis a strategy for the Monthly Chart
It indicates Buy & Sell points for trading Gold/Silver or other Precious Metals commodities or ETFs.
Its a simple strategy based on the MACD and RSI indicators.
I hope that you like it and find it useful
Gold/Silver Ratio with Supply ZonesGold/Silver Ratio with Supply Zones
Overview
Professional-grade indicator that tracks the Gold/Silver Ratio in real-time
Identifies potential market imbalances and rotation opportunities between precious metals
Features customizable threshold bands, moving averages, and automated trading signals
Built on Pine Script v6 for maximum stability and performance
Key Features
Real-Time Ratio Calculation : Automatically calculates Gold/Silver ratio using OANDA:XAUUSD and OANDA:XAGUSD price feeds
Dynamic Threshold Zones : Visual bands showing when silver or gold may be undervalued relative to each other
Moving Average Overlay : 20-period SMA to identify trend direction and momentum
Automated Buy Signals : Triangle markers appear when ratio reaches extreme levels
Live Information Table : Displays current ratio, moving average, individual metal prices, and market interpretation
Custom Alerts : Set notifications when ratio crosses your defined thresholds
Color-Coded Zones : Green zones indicate gold undervaluation, red zones indicate silver undervaluation
Trading Applications
Mean Reversion Strategy : Enter silver positions when ratio exceeds 90, enter gold when ratio falls below 70
Rotation Trading : Switch between metals based on relative value signals
Portfolio Rebalancing : Identify optimal times to adjust precious metals allocation
Divergence Analysis : Compare ratio behavior against individual metal price action
Default Settings
High Threshold : 90.0 (Silver undervalued zone)
Low Threshold : 70.0 (Gold undervalued zone)
Moving Average : 20-period SMA
Historical Reference : 80:1 ratio marked as long-term mean
How to Interpret
Ratio Above 90 : Silver is undervalued relative to gold - consider increasing silver exposure
Ratio Below 70 : Gold is undervalued relative to silver - consider increasing gold exposure
Ratio Between 70-90 : Neutral range - no clear relative value advantage
Rising Ratio : Gold outperforming silver
Falling Ratio : Silver outperforming gold
Signal Logic
Green Triangle (Bottom) : Ratio crosses above high threshold → Buy Silver Signal
Red Triangle (Top) : Ratio crosses below low threshold → Buy Gold Signal
MA Crossovers : Use 20-period MA for trend confirmation and entry timing
Visual Elements
Blue Line : Current gold/silver ratio value
Orange Line : 20-period moving average smoothing
Red Shaded Zone : Area where gold is relatively expensive
Green Shaded Zone : Area where gold is relatively cheap
Gray Dotted Line : Historical mean at 80:1
Info Table : Real-time statistics and market interpretation
Best Practices
Use on daily timeframe or higher for most reliable signals
Combine with volume analysis and individual metal technicals
Monitor Federal Reserve policy and USD strength as macro context
Consider industrial demand factors for silver (solar, EV, electronics)
Watch safe-haven flows during economic uncertainty for gold
Customization Options
Adjust threshold levels based on your preferred lookback period
Modify moving average length to suit your trading timeframe
Toggle bands on/off for cleaner chart visualization
Change data source tickers if using different brokers (FXCM, FOREXCOM, etc.)
Alert Conditions
Silver Undervalued Alert : Triggers when ratio crosses above your high threshold
Gold Undervalued Alert : Triggers when ratio crosses below your low threshold
Receive notifications via TradingView mobile app , email , or webhook
Who This Is For
Precious metals traders seeking relative value opportunities
Portfolio managers balancing gold and silver allocations
Macro traders using metals as inflation hedges
Swing traders capitalizing on mean reversion patterns
Long-term investors optimizing entry points
Important Notes
This indicator tracks price ratios , not physical supply data
COMEX warehouse stocks are not directly available in TradingView
Ratio analysis assumes historical mean reversion tendencies
Always combine with fundamental analysis and risk management
Past performance does not guarantee future results
Data Sources
Gold Price : OANDA:XAUUSD (spot gold in US dollars)
Silver Price : OANDA:XAGUSD (spot silver in US dollars)
Update Frequency : Real-time during market hours
Historical Data : Full TradingView historical coverage available
EMA 9/26 Cross (Signals + Alerts)What it calculates
EMA 9 (fast) and EMA 26 (slow) on whatever price source you pick (default: close).
It watches for two events:
Bullish cross (BUY): EMA 9 crosses above EMA 26 (ta.crossover)
Bearish cross (SELL): EMA 9 crosses below EMA 26 (ta.crossunder)
What you see on the chart
Two EMA lines (fast + slow), plotted on the price chart (overlay=true).
Optional markers:
A triangle up under the candle labeled BUY on bullish cross.
A triangle down above the candle labeled SELL on bearish cross.
What you can customize (inputs)
Source (close, open, hl2, etc.)
Fast EMA length (defaults to 9)
Slow EMA length (defaults to 26)
Toggle to show/hide EMAs
Toggle to show/hide markers
Alerts (the important part)
It defines two alertcondition() rules:
“EMA 9/26 Bullish Cross” fires exactly when the bullish crossover happens.
“EMA 9/26 Bearish Cross” fires exactly when the bearish crossunder happens.
So in TradingView you can create alerts like:
Notify/push/email/webhook when BUY happens
Notify/push/email/webhook when SELL happens
What it does not do
It doesn’t place trades or track performance (no entries/exits, no P&L).
It won’t “stay long” or “stay short”—it only flags the moment of the cross.
If you want, I can modify Option A to:
only alert on confirmed bar close (to avoid intrabar “false crosses”),
add trend filter (e.g., only BUY if price > EMA200),
or add a cooldown so it won’t spam signals in choppy markets.
Auction AAL: V3🔵 Big blue On AAL Neutral balance
🟦 Mini blue above Above AAL Bullish acceptance
🟣 Big purple Below AAL Bearish balance
❌ white/blue X Away from AAL Failure / trap
Acution theroy based.
sets a netrual price and after price returns it detects where price will go. from buyer acceptance and seller acceptance.






















