X-Trend Macro Command CenterX-Trend Macro Command Center (MCC) | Institutional Grade Dashboard
📝 Description Body
The Invisible Engine of the Market Revealed.
Traders often focus solely on Price Action, ignoring the massive underwater currents that actually drive trends: Global Liquidity, Inflation, and Central Bank Policy. We created X-Trend Macro Command Center (MCC) to solve this problem.
This is not just an indicator. It is a fundamental heads-up display that bridges the gap between technical charts and macroeconomic reality.
💡 The Idea & Philosophy
Markets don't move in a vacuum. Bull runs are fueled by M2 Money Supply expansion and negative real yields. Crashes are triggered by liquidity crunches and aggressive rate hikes. X-Trend MCC was built to give retail traders the same "Macro Awareness" that institutional desks possess. It aggregates fragmented economic data from Federal Reserve databases (FRED) directly onto your chart in real-time.
🚀 Application & Logic
This tool is designed for Trend Traders, Crypto Investors, and Macro Analysts.
Identify the Regime: Instantly see if the environment is "RISK ON" (High Liquidity, Low Real Rates) or "RISK OFF" (Monetary Tightening).
Validate the Trend: Don't buy the dip if Liquidity (M2) is crashing. Don't short the rally if Real Yields are negative.
Multi-Region Analysis: Switch instantly between economic powerhouses (US, China, Japan) to see where the capital is flowing.
📊 Dashboard Metrics Explained
Every row in the Command Center tells a specific story about the economy:
Interest Rate: The "Gravity" of finance. Higher rates weigh down risk assets (Stocks/Crypto).
Inflation (YoY): The erosion of purchasing power. We calculate this dynamically based on CPI data.
Real Yield (The "Golden" Metric): Calculated as Interest Rate - Inflation.
Green: Real Yield is low/negative. Cash is trash, assets fly.
Red: Real Yield is high. Cash is King, assets struggle.
US Debt & GDP: Fiscal health indicators formatted in Trillions ($T). Watch the Debt-to-GDP ratio—if it spikes >120%, expect currency debasement.
M2 Money Supply: The fuel tank of the market. Tracks the total amount of money in circulation.
↗ Trend: Liquidity is entering the system (Bullish).
↘ Trend: Liquidity is drying up (Bearish).
🧩 The X-Trend Ecosystem
X-Trend MCC is just the tip of the iceberg. This module is part of the larger X-Trend Project — a comprehensive suite of algorithmic tools being developed to quantify market chaos. While our Price Action algorithms (Lite/Pro/Ultra) handle the Micro, the MCC handles the Macro.
Technical Note:
Data Sources: Direct connection to FRED (Federal Reserve Economic Data).
Zero Repainting: Historical data is requested strictly using closed bars to ensure accuracy.
Open Source: We believe in transparency. The code is open for study under MPL 2.0.
Build by Dev0880 | X-Trend © 2025
Analyse fondamentale
ETIQUETAS 5M.This is the best way to determinate interval from five minutes to 1 minute in that time range of 9:25 am to 4:15 pm. you can know how to enter or exit trading action.
Black-Out PeriodYou'll need to input the black-out logic of the company you are analyzing manually. For example Liveperson, Insider trading and disclosure policy can be found here:
www.sec.gov
Under paragraph nr 12 we find:
"12.Black-Out Period. During the end of each fiscal quarter and until public disclosure of the financial results for that quarter, persons subject to this Policy may possess material nonpublic information about the expected financial results for the quarter. Even if you don’t actually possess any such information, any trades by you during that period may give the appearance that you are trading on inside information. Accordingly, the Company has designated a regularly-scheduled quarterly “black-out period” on trading beginning with the close of business on the 15th day of the last month of each fiscal quarter (or the close of business on the last day on which The Nasdaq Global Select Market is open prior to such 15th day, in the event that the Nasdaq Global Select Market is not open on such 15th day) and ending at the close of the second full trading day (day on which the relevant stock market is open) after public disclosure of the quarter’s financial results."
So we put in the values "15" and "2"
Note that other rules than those specific dates around earnings applies, and not all employees are subject to the same rules.
Free Cash Flow Yield based Trailing Twelve Months and EVFCF / Enterprise Value (TTM FCF ÷ Daily EV)
Find the Free Cash Flow Yield a company has.
This is not to be used for valuating banks or FinTech.
Moving Averages 20 & 200Moving Averages 20&200. Help you decide buy signal to find bullish or bearish.
Yield Curve Inversion Indicator Will track the TVC:US10Y and TVC:US03MY spread, often followed for the "yield curve inversion" trade/indicator.
When an inversion occurs, which lasts a minimum of the defined days (default 10) the indicator will paint forward a warning period (default is 365 days).
The yield curve being inverted is not the signal, the REVERSION back to a positive curve is the associated signal, namely the following 12 months after a reversion. This is often used as an early warning of trouble in markets.
Hope this helpful for those who follow macro/internal warning signals.
[iQ]PRO Volume Frequency Profile+++🌟 The Adaptive Volume Profile Analyst (AVPA) 📊
Unveiling the Hidden Architecture of Market Flow
This indicator is a highly advanced, proprietary volume analysis tool engineered to dissect and visualize the intricate interplay between price action and trading volume with unparalleled precision. The Adaptive Volume Profile Analyst transcends conventional volume-based indicators by constructing a dynamic, highly-tuned visualization of volume distribution across specific price levels. This provides traders with a profound, instantaneous understanding of market structure and liquidity pools that often remain opaque in standard charting.
Core Functionality & Key Features (Intrigue Without Exposure)
1. Hyper-Responsive Volume Distribution Mapping
At its heart, the AVPA utilizes a sophisticated, custom-engineered algorithm to process raw volume data and map it onto the price axis.
Custom Volume Visualization: The proprietary rendering logic generates a visually rich and highly informative profile using a color-graded gradient that dynamically shifts based on the relative volume magnitude within each price bin. This unique aesthetic is not merely for display; it is a critical component for instantly identifying areas of high-interest and low-interest volume concentration. (See the line: col = color.from_gradient(...))
Adaptive Sizing: The width of the visualized volume bars is meticulously calculated based on a normalized volume factor, ensuring that the profile accurately reflects the relative significance of volume activity at each level without cluttering the chart. The maximum display width is controlled by an internal scaling factor. (See the lines: width_px = math.round(norm * vol_max_width) and the x1, x2 coordinate calculations)
2. Strategic Node & Interaction Point Identification
The AVPA is designed to isolate and highlight key structural components within the volume profile that signify crucial market junctures.
High-Impact Structural Nodes: The indicator employs a closed-source methodology to identify and flag significant Volume Profile Nodes ('X'). These nodes represent major price levels where volume accumulation or distribution has established a clear, lasting structural imprint on the market.
Confirmed Interaction Points: A separate, proprietary process identifies and labels Interaction Nodes ('✓'). These points highlight areas where price action has recently confirmed the relevance of the established volume structure, often indicating potential support, resistance, or critical inflection zones.
3. Clean, Adjustable Visualization for Optimal Edge
The presentation of the data is optimized for real-time decision-making.
Customizable Profile Orientation: The user has the flexibility to display the volume profile extending from the left or right of the price bar, offering a clean, non-obtrusive integration with existing charting setups. (See the conditional logic on x1 and x2 based on plot_vol_bins_left)
Non-Repainting and Real-Time: The indicator's drawing mechanisms utilize Pine Script's robust box.new and label.new functions, ensuring that the profile and its critical nodes are rendered precisely on the historical bar index, providing a reliable and non-repainting depiction of volume structure.
Why Choose AVPA?
The Adaptive Volume Profile Analyst provides a quantifiable, visual edge by transforming chaotic volume data into actionable intelligence. This is not just a tool for seeing where volume was; it is a sophisticated system for understanding why it was there and how that structure will influence future price movement. It is an indispensable resource for traders who demand precision and a deeper understanding of market mechanics.
Access to this tool is often restricted, offered only to select members who are committed to leveraging this advanced level of market insight.
Futures Sizing Calculator (NQ,MGC,MES)Clean simple, risk indicator that will allow you to see risk before entering trade. This will allow you to use it on MES, MGC and MNQ.
For any ideas or improvements, don't hesitate to contact me.
RTD-Nifty Pivot, Targets, Vix range and Trend AnalyzerRTD-Nifty Pivot, Targets, Vix range and Trend Analyzer
Quarter Levels Auto recentering - With Advance mode📌 Indicator Description
Quarter Levels — Auto Recentering (Advanced Mode) plots a structured set of quarter-price levels around the current market price and keeps them auto-centered as price moves.
These levels represent natural price decision zones where markets frequently pause, react, reject, break, or retest.
The indicator is designed to support price-action trading across futures, stocks, crypto, and forex.
This is a decision-support tool, not a buy/sell signal system.
🔢 Understanding The Quarter Levels
The indicator plots multiple types of quarter levels, each serving a different purpose.
Think of them as a price map, not targets or predictions.
🟦 00 / 25 / 50 / 75 — Core Structure Levels
These are the primary quarter levels and form the backbone of the system.
00 → Whole number / major psychological level
25 & 75 → Mid-range reaction levels inside the block
50 → Equilibrium / balance point of the range
How price behaves here:
Strong reactions and pauses
Common areas for consolidation
Frequent support or resistance flips
These levels are ideal for:
Structure analysis
Scaling in or out
Identifying balance vs. imbalance
🟪 10 / 80 — Rejection & Extension Zones
These levels sit just inside the edge of the quarter block.
10 → Shallow rejection / early defense zone
80 → Late extension / exhaustion zone
How price behaves here:
Fast reactions
Sharp rejections or continuations
Momentum decision points
These levels often act as:
Early warning zones
“Last defense” areas before a break
Extension points during strong moves
🟥 35 / 65 / 90 — Momentum & Continuation Levels
These levels represent momentum checkpoints inside and beyond the quarter structure.
35 & 65 → Internal momentum acceptance zones
90 → High-pressure continuation or failure point
How price behaves here:
Acceptance above/below suggests continuation
Failure often leads to rotation back toward balance
Useful for trend confirmation or invalidation
These levels help answer:
“Is price accepting higher or lower?”
“Is this move real, or failing?”
🔍 Advanced Glow (Optional)
When Advanced Mode is enabled, the indicator automatically highlights:
The strongest confirmed support below price
The strongest confirmed resistance above price
These highlights:
Are based on recent touches and candle behavior
Lock on candle close to keep the display stable
Help reduce clutter by focusing attention on the most important nearby levels
🧭 How Traders Commonly Use This Indicator
Identify key support and resistance zones
Wait for price reaction, not prediction
Trade with structure, not into it
Use the next quarter level as a logical checkpoint
Combine with trend, volume, VWAP, or higher-timeframe bias
Each level is a decision area, not a signal.
📉 Hybrid Trailing Stop (Visual Only)
An optional visual trailing stop can be displayed:
Anchored to confirmed quarter structure
Updates on candle close
Intended only as a risk-management reference
It does not place trades or generate signals.
⚠️ Important Notes
This indicator does not repaint
It does not provide buy/sell signals
It is designed for price-action traders
Always manage risk appropriately
✅ Best Use Cases
✔ Intraday & scalping
✔ Futures, stocks, crypto, forex
✔ Structure-based trading
✔ Traders who want clarity without clutter
Auto Seasonality ScannerForecast Dashboard – Seasonality & Robustness
The Forecast Dashboard indicator analyzes historical seasonality and identifies statistically robust long and short time windows. It is based on cyclical patterns, real trading days, and a robust in-sample / out-of-sample backtest.
The indicator does not provide entry signals. It is designed as an objective context filter for swing and position trading.
Features
- Cycle-based seasonality (1-year, 4-year, or custom)
- Automatic cycle detection for BTC, US indices, and US stocks
- Systematic search for optimal long/short windows
- Fixed or automatic window lengths
- In-sample / out-of-sample separation including robustness score
- Win rate, average performance, trade count, and overall score
- Vertical entry and exit markers on the chart
- Compact dashboard with all relevant metrics
- Correct trading-day logic (no weekend or ±1-day offsets)
Use Cases
- Seasonal swing setups
- Timing support for existing strategies
- Objective evaluation of seasonal market phases
Disclaimer
- Purely statistical analysis of historical data
- No performance or profit guarantees
- No automated trading
JAM ALGO Signals
"Remove the filters to view signals, then customize the parameters to your preference and enjoy using the indicator!" ✅
JAM ALGO Signals
Description:
🚀 Advanced Trading Signals with Risk Management & Alerts
This indicator is a complete all-in-one tool for traders seeking precise entries and exits with built-in risk management and real-time statistics. It combines RSI and EMA-based analysis, projected Take Profit (TP) and Stop Loss (SL) levels, customizable filters, and premium alerts directly on your TradingView chart.
✨ Key Features:
Entry Signals 🔹
Buy & Sell signals based on price action and RSI conditions.
Trend confirmation via EMA (200 and optional 50-period filters).
Visual signals: Labels, Arrows, Triangles, or Text.
Risk Management (RR) ⚖️
Define Stop Loss (SL) and multiple Take Profit levels (TP1, TP2, TP3) based on risk ratio (R).
Configurable projection bars to visualize target levels.
Colored zones for TP & SL, with optional borders for clarity.
Premium Alerts 🔔
Alerts for BUY / SELL signals, TP1 / TP2 / TP3, and SL hits.
Instant notifications when levels are reached.
Advanced Filters 🛡️
EMA50 Trend Filter: confirms short-term trend.
RSI Direction Filter: ensures momentum alignment.
Volatility Filter (ATR14 > Range): ensures enough market movement.
Candle Size Filter: avoids entries on too small candles.
SL Overlap Filter: prevents trades overlapping existing SL levels.
Real-Time Statistics 📊
Total trades, wins (TP1), and losses (SL).
Winrate (%), cumulative profit, and average RR ratio.
Optimizes strategy tracking directly on the chart.
Customizable Visuals 🎨
TP & SL line colors and styles (solid, dashed, dotted).
Fully adjustable signal labels (color, size, type).
Configurable stats table with background & text colors.
🔥 Advantages:
Complete tool for day trading and swing trading.
Clear visualization of critical risk/reward levels.
Automatic alerts for fast reaction without constant monitoring.
Integrated statistics for performance evaluation and strategy improvement.
Recommended for:
Traders using price action, intraday strategies, scalping, or swing trading, who want advanced risk management with visual signals and performance analytics on TradingView.
Warpath Structure + Liquidity Tool (Updated - V3)Warpath visually organizes the key elements required to trade Gold professionally:
1. Market Structure Clarity
Automatically labels HH / HL / LH / LL on major pivot points (current chart timeframe). Makes directional bias immediately obvious. Helps prevent counter-trend trading in strong expansions.
2. Liquidity Sweep Detection (Wick-Only)
Highlights true liquidity sweeps using wick behavior (no breakout guessing). Marks the sweep wick with user-defined colors. Draws a swept-zone box that extends forward to show where liquidity was taken. Designed to identify fuel vs reversal behavior in trends.
3. Key Session Levels
Automatically plots:
Asian High / Low
Previous Day High / Low
Equal Highs / Equal Lows from current timeframe and higher timeframes (1H / 4H / Daily)
These levels represent where price is likely to react, not where trades should be forced.
4. Multi-Confluence HTF Bias Dashboard
Small dashboard showing bias for 15M, 1H, 4H, and Daily timeframes. Each timeframe bias is calculated using four confluence factors:
EMA Stack: 8/21/50 alignment and price position relative to EMAs
Structure: Recent HH/HL vs LH/LL pivot behavior
Price Patterns: Engulfing candles, hammers, double bottoms/tops, break of structure
Momentum: Recent candle direction and close trend
Displays a confluence score (e.g., "BULLS (4)") so you can see signal strength, not just direction. Overall bias weights higher timeframes more heavily for smarter alignment.
5. Trade Positioning Dashboard
Replaces basic overbought/oversold readings with actionable positioning context:
Range Position: Shows exactly where price sits within the selected range (Previous Session, Previous Day, or Weekly) as a percentage. Zones include Deep Discount (0-25%), Discount (25-40%), Equilibrium (40-60%), Premium (60-75%), and Deep Premium (75-100%).
VWAP Deviation: Displays distance from VWAP in standard deviations (σ). Readings beyond ±1.5σ indicate meaningful extension. Readings beyond ±2σ suggest caution on continuation and potential mean reversion.
Trade Favor: Combines HTF bias alignment, range position, and VWAP deviation into a single directional score. Displays as "LONGS ●●●○" or "SHORTS ●●○○" so you know at a glance whether conditions favor continuation or reversal.
6. Continuation Reload Awareness (Strong Trend Environments)
Built to handle markets that:
Remain overbought
Stay in premium
Sweep buy-side liquidity repeatedly
The multi-confluence scoring system catches trend continuation setups (like higher lows forming with bullish momentum) even before swing structure fully confirms. Supports compression → expansion continuation behavior. Prevents missed participation during multi-day trends without abandoning discipline.
Seasonality Scanner by thedatalayers.comThe Seasonality Scanner automatically detects seasonal patterns by scanning a user-defined number of past years (e.g., the last 10 years).
Based on this historical window, the indicator identifies the strongest seasonal tendency for the currently selected date range.
The scanner evaluates all valid seasonal windows using two filters:
• Hit Rate - the percentage of profitable years
• Average Return - the highest mean performance across the analyzed period
The best-scoring seasonal setup is displayed directly on the chart, including the exact start and end dates of the identified pattern for the chosen time range.
Users can define the period they want to analyze, and the indicator will automatically determine which seasonal window performed best over the selected history.
Recommended Settings (Standard Use)
For optimal and consistent results, the following settings are recommended:
• Search Window: 20-30
• Minimum Length: 5
• Time Period: from 2015 onward
• US Election Cycle: All Years
These settings provide a balanced and reliable baseline to detect meaningful seasonal tendencies across markets.
This indicator helps traders understand when recurring seasonal patterns typically occur and how they may align with ongoing market conditions.
This indicator is intended to be used exclusively on the daily timeframe, as all calculations are based on daily candles.
Using it on lower timeframes may result in inaccurate or misleading seasonal readings.
Seasonality by thedatalayers.comThe Seasonality Indicator calculates the average historical performance of the currently selected asset by analyzing a user-defined number of past years (e.g., the last 10 years).
The number of years included in the calculation can be adjusted directly in the settings panel.
Based on this historical window, the indicator creates an average seasonal curve, which represents how the market typically behaved during each part of the year.
This averaged curve acts as a forecast for the upcoming months, highlighting periods where the market has shown a consistent tendency in the past.
Traders can use this seasonal projection to identify times of higher statistical likelihood for upward or downward movement.
The indicator works especially well when combined with the Seasonality Analysis Tool, which helps identify specific historical windows and strengthens overall seasonal decision-making.
This indicator must be used exclusively on the daily timeframe, as all calculations are based on daily candle data.
Other timeframes will not display accurate seasonal structures.
The Seasonality Indicator provides a clear, data-driven view of recurring annual patterns and allows traders to better understand when historical tendencies may influence future price action.
Trading Asset Comparison Oscillator by thedatalayers.comThe Trading Asset Comparison Oscillator compares the currently opened asset with a user-selected reference symbol to identify periods of relative overvaluation and undervaluation.
The concept is based on the idea that markets constantly seek fair value. When an asset becomes mispriced relative to a meaningful benchmark, it often moves back toward equilibrium.
This indicator measures that relationship and transforms it into an easy-to-read oscillator:
• Green Zone (Undervalued) - The selected asset is undervalued compared to the reference symbol.
This reflects potential upward pressure as markets tend to correct undervaluation over time.
• Red Zone (Overvalued) - The asset is overvalued relative to the reference symbol.
This may indicate a higher likelihood of downward movement as price seeks rebalancing.
Users can set any reference instrument they consider relevant-commodities, indices, currency pairs, or other assets. The oscillator quantifies the valuation difference based on a configurable cycle length.
The recommended setting is Cycle = 10, which provides a balanced and responsive signal
structure.
Since this indicator relies on broader valuation dynamics, it is designed to be used exclusively on the daily timeframe. Lower timeframes may not reflect true fundamental value relationships.
The Asset Comparison Oscillator helps traders identify when an asset appears cheap or expensive relative to another, offering an additional layer of fundamental context to support directional trading decisions.
COT Index by thedatalayers.comThe COT Index transforms the weekly COT net positions of Commercial traders into a normalized mathematical model.
Instead of displaying raw net positioning, the COT Index processes the data through a cyclical normalization algorithm (commonly using a 26-week or alternatively a 52-week cycle).
This makes it easier to identify bullish or bearish extremes in Commercial activity.
The index is plotted as a color-coded line:
• Green Zone - Commercials are mathematically classified as bullish.
Historically, bullish Commercial positioning often aligns with upward market pressure.
• Red Zone - Commercials are mathematically classified as bearish.
This typically corresponds with increased downward pressure in the underlying market.
• Neutral Zone - Neither bull nor bear dominance; positioning is mid-range.
Since COT data is published only once per week and the COT Index is built on cyclical multi-week analysis, the indicator is intended to be used exclusively on the weekly timeframe.
Using lower timeframes will not reflect the structure of the data accurately.
The selected cycle length (typically 26 weeks, optionally 52 weeks) determines how net positions are compared and normalized, and can influence how quickly extreme zones appear.
The COT Index provides an objective way to interpret Commercial trader sentiment and to identify potential directional bias in the market.
COT Net Positions by thedatalayers.comCOT Net Positions by thedatalayers.com visualizes the net positioning of different trader groups based on the weekly Commitments of Traders (COT) reports published by the CFTC every Friday.
The indicator processes the raw COT data by calculating Long positions minus Short positions for each trader category. This results in the net position of every group per report.
The script then plots these net positions continuously over time, based on every available COT release. This creates a clear and easy-to-read visualization of how different market participants are positioned.
The indicator displays the three primary COT categories:
• Commercials
• Non-Commercials
• Non-Reportables
By observing how these trader groups shift their positioning, traders can better understand market sentiment and identify potential directional biases or changes in underlying market pressure.
This tool is designed to help traders incorporate positioning data into their analysis and to better interpret how institutional and speculative flows evolve over time.
This indicator is intended to be used exclusively on the weekly timeframe.
COT data is published once per week by the CFTC and therefore only updates weekly.
Using this script on lower timeframes may result in misleading visualization or irregular spacing between data points.
For correct interpretation, please apply it on 1W charts only.
Dragon Smart Detector [Sentiment & Flow HUD]Dragon Smart Detector is a professional-grade contextual analysis tool designed to answer the most critical questions in trading: "Is the market driven by Fear or Greed?", "Is Smart Money stepping in?", and "Is the current breakout genuine?".
Instead of lagging indicators or simple buy/sell arrows, this tool provides a Head-Up Display (HUD) that analyzes the internal dynamics of price and volume in real-time.
1. 🧠 How It Works (The Core Logic)
This indicator combines technicals and fundamentals into four distinct metrics:
A. Market Sentiment (The Mood)
Quantifies crowd psychology using a hybrid algorithm of RSI (14) and Bollinger Bands.
EXTREME FOMO 🔥 (Red): Price is overextended beyond the upper band with high RSI. Indicates the crowd is euphoric. Risk Level: High.
EXTREME FEAR 😱 (Cyan): Price is panicking below the lower band with low RSI. Often marks a potential reversal bottom (Capitulation).
GREED / ANXIETY: Intermediate states of the market.
B. Volume Winner & Flow (The Battle)
Since accurate "Order Flow" data is not universal across all feeds, this script uses Price Spread Analysis to estimate aggressive pressure.
BULLS: Close price is near the High of the candle $\rightarrow$ Accumulation/Buying Pressure.
BEARS: Close price is near the Low of the candle $\rightarrow$ Distribution/Selling Pressure.
Flow Display: Shows the estimated percentage of Buying vs. Selling volume for the current session.
C. Volume Strength (RVOL)
Relative Volume compares the current volume against the 20-period simple moving average.
1.0x: Average volume.
> 2.0x (Orange): Volume is double the average. Significant activity.
> 3.0x (Pink/Magenta): Institutional Activity. Massive volume spike indicating Smart Money participation.
D. Float Rotation (The "Dragon" Metric)
Calculates what percentage of the company's available shares have been traded today.
Smart Data Fetch: The script automatically attempts to load FLOAT_SHARES. If unavailable (common with ETFs or some Indices), it intelligently switches to TOTAL_SHARES as a backup.
Why it matters: High rotation (e.g., > 2%) accompanied by a price increase suggests a massive changing of hands, often validating a strong breakout.
2. 🎯 How to Trade (Strategy Guide)
Scenario 1: The "Dragon Breakout" (Momentum)
Condition: Price is breaking a key resistance level.
Check HUD:
WINNER: Must be BULLS.
VOL STRENGTH: Should be > 1.5x (Orange) or > 3.0x (Pink).
ROTATION: High rotation confirms the breakout is supported by fresh demand.
Action: Enter the trade with confidence.
Scenario 2: The "Capitulation Buy" (Reversal)
Condition: Price is dropping sharply.
Check HUD:
SENTIMENT: Must show EXTREME FEAR 😱 (Cyan).
WINNER: Wait for the "Winner" status to flip from BEARS to BULLS (indicating a wick/rejection of lows).
Action: Look for long entries or reversal patterns.
Scenario 3: The "FOMO Trap" (Risk Management)
Condition: Price is rallying, but you are late to the party.
Check HUD:
SENTIMENT: Shows EXTREME FOMO 🔥.
FLOW: Shows BEARS winning (selling into strength/wicks).
Action: Do NOT buy. Tighten stop-losses or take partial profits.
3. ⚙️ Settings & Features
Smart Backup Data: Automatically handles N/A data for NASDAQ/NYSE tickers (like TSLA, NVDA) by switching data sources.
Manual Float: Allows you to manually input share count (in Millions) for penny stocks or local markets where data is missing.
Minimalist Mode: Hides Fundamental rows (Float/Rotation) if you only want to see Sentiment and Flow.
Visuals: Modern Neon/Borderless interface designed for dark mode charts.
Disclaimer
This indicator is for educational and informational purposes only. "Volume Flow" and "Winner" are estimates based on Price Action logic, not Level 2 data. Fundamental data relies on TradingView's financial database. Past performance does not guarantee future results.
Tip: Add this to your favorites ⭐️ and boost 🚀 if you find it useful in your daily trading!
Numanti - FairRate EUR/USD Fair ValueFairRate | EUR/USD Fair Value Indicator
Know When EUR/USD Is Overpriced or Underpriced
Price tells you where the market *is*. Fair value tells you where it *should be*.
EUR/USD doesn't move randomly. Interest rates, yield curves, risk appetite, and equity flows drive where the pair trades over time. When price strays too far from these fundamentals, it tends to snap back.
FairRate shows you exactly how far price has strayed.
How It Works
The indicator calculates a fair value for EUR/USD based on macroeconomic variables updated weekly. It then measures the deviation between current price and fair value in standard deviations (the z-score).
> +2σ --> EUR significantly overvalued — watch for pullback
+1σ to +2σ --> EUR above fair value
-1σ to +1σ --> Near equilibrium
-1σ to -2σ --> EUR below fair value
< -2σ --> EUR significantly undervalued — watch for bounce
The bigger the deviation, the stronger the fundamental pressure for mean reversion.
What You See on the Chart
- Fair Value Line — Where EUR/USD "should" be trading
- ±1σ and ±2σ Bands — Normal and extreme deviation zones
- Info Panel — Current fair value, z-score, and signal status
When price pushes into the outer bands, fundamentals are stretched. That's where opportunities often emerge.
Model Quality
This isn't a typical indicator or curve-fitted approach. It's a proper econometric model:
- R² > 80% — Fundamentals explain most of EUR/USD movement
- Out-of-sample validated — Works on data the model never saw
- Updated weekly — Fresh estimates every Friday
- Research-backed — Methodology documented in white paper
How Traders Use It
Mean Reversion
When z-score hits extreme levels (±2σ), look for reversal setups. Combine with your technical analysis for entries.
Trend Confirmation
If price is trending AND fundamentals support it (z-score moving in trend direction), that's a stronger move.
Risk Filter
Avoid counter-trend trades when z-score is near zero — there's no fundamental reason to expect a reversal.
Context Layer
Add fundamental context to pure price action. Know whether you're trading with or against the macro backdrop.
### What This Is NOT
- Not a buy/sell signal generator
- Not a timing indicator
- Not a substitute for technical analysis
FairRate is a fundamental layer — one piece of the puzzle that tells you whether EUR/USD is cheap, expensive, or fairly priced right now.
The Model
Built on peer-reviewed econometric methodology. The model captures the fundamental drivers that institutional desks use to assess currency valuation — not a black-box indicator or curve-fitted pattern.
Add FairRate to your EUR/USD analysis. Know where fundamentals stand.
© 2025 Numanti. All rights reserved.
Z-Score & StatsThis is an advanced indicator that measures price deviation from its mean using statistical z-scores, combined with multiple analytical features for trading signals.
Core Functionality-
Z-Score Calculation Engine:
The indicator uses a custom standardization function that calculates how many standard deviations the current price is from its rolling mean. Unlike simple moving averages, this provides a normalized view of price extremes. The calculation maintains a sliding window of data points, efficiently updating mean and variance values as new data arrives while removing old data points. This approach handles missing values gracefully and uses sample variance (rather than population variance) for more accurate statistical measurements.
Statistical Zones & Visual Framework:
The indicator creates a visual representation of statistical probability zones:
±1 Standard Deviation: Encompasses about 68% of normal price behavior (green zone)
±2 Standard Deviations: Covers approximately 95% of price movements (orange zone)
±3 Standard Deviations: Represents 99.7% probability range (red zone)
±3.5 and ±4 Thresholds: Extreme outlier levels that trigger special alerts
The z-score line changes color dynamically based on which zone it occupies, making it easy to identify the current market extremity at a glance.
Advanced Features:
Volume Contraction Analysis
The script monitors volume patterns to identify periods of reduced trading activity. It compares current volume against a moving average and flags when volume drops below a specified threshold (default 70%). Volume contraction often precedes significant price moves and is factored into the optimal entry detection system.
Momentum-Based Direction Model:
Rather than just showing current z-score levels, the indicator projects where the z-score is likely to move based on recent momentum. It calculates the rate of change in the z-score and extrapolates forward for a specified number of bars. This creates a directional arrow that indicates whether conditions are bullish (negative z-score with upward momentum) or bearish (positive z-score with downward momentum).
Divergence Detection System:
The script automatically identifies four types of divergences between price action and z-score behavior :-
Regular Bullish Divergence: Price makes lower lows while z-score makes higher lows, suggesting weakening downward pressure
Regular Bearish Divergence: Price makes higher highs while z-score makes lower highs, indicating exhaustion in the uptrend
Hidden Bullish Divergence: Price makes higher lows while z-score makes lower lows, confirming trend continuation in an uptrend
Hidden Bearish Divergence: Price makes lower highs while z-score makes higher highs, confirming downtrend continuation
The system uses pivot detection with configurable lookback periods and distance requirements, then draws connecting lines and labels directly on the chart when divergences occur.
Yearly Statistics Tracking:
The indicator maintains historical records of maximum z-score deviations over yearly periods (configurable bar count). This provides context by showing whether current extremes are unusual compared to typical annual ranges. The average yearly maximum helps traders understand if the current market is exhibiting normal volatility or exceptional conditions.
Mean Reversion Probability:
Based on the current z-score magnitude, the indicator calculates and displays the statistical probability that price will revert toward the mean. Higher absolute z-scores indicate stronger mean reversion probabilities, ranging from 38% at ±0.5 standard deviations to 99.7% at ±3 standard deviations.
Comprehensive Statistics Table:
A customizable on-chart table displays real-time statistics including:
Current z-score value with directional indicator
Predicted z-score based on momentum
Current year's maximum absolute z-score
Historical average yearly maximum
Mean reversion probability percentage
Zone status classification (Normal, Moderate, High, Extreme)
Directional bias (Bullish, Bearish, Neutral)
Active divergence status
Volume contraction status with ratio
Optimal setup detection (combining extreme z-scores with volume contraction)
Optimal Entry Setup Detection:
The most sophisticated feature identifies high-probability trading setups by combining multiple factors. An "Optimal Long" signal triggers when z-score reaches -3.5 or below AND volume is contracted. An "Optimal Short" signal appears when z-score exceeds +3.5 AND volume is contracted. This combination suggests extreme price deviation occurring on low volume, often preceding strong reversals.
Alert System:
The script includes a unified alert mechanism that triggers when z-score crosses specific thresholds:
Crossing above/below ±3.5 standard deviations (extreme levels)
Crossing above/below ±4 standard deviations (critical levels)
Alerts fire once per bar with confirmation (previous bar must be on opposite side of threshold) to avoid false signals.
Practical Application:
This indicator is designed for mean reversion traders who seek statistically significant price extremes. The combination of z-score measurement, volume analysis, momentum projection, and divergence detection creates a multi-layered confirmation system. Traders can use extreme z-scores as potential reversal zones, while the direction model and divergence signals help time entries more precisely. The volume contraction filter adds an additional layer of confluence, identifying moments when reduced participation may precede explosive moves back toward the mean.
Chart Attached: NSE GMR Airports, EoD 12/12/25
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice.Happy Trading
VX-Time Quadrant Overlay (Quarterly Cycles) by Ikaru-s-The Time Quadrant Overlay is a purely time-based visualization tool designed to structure market time into repeating quarterly cycles across multiple timeframes.
It does not generate trade signals, entries, or bias.
Its sole purpose is to provide time context, so price action can be interpreted within a clear cyclical framework.
What this indicator does
The indicator divides time into four repeating quarters (Q1–Q4) and displays them simultaneously across different time horizons, such as:
Weekly
Daily (6-hour quarters)
90-minute cycles
Micro cycles (within 90-minute structure)
Each row represents a different time cycle, allowing traders to see time alignment, transitions, and overlaps at a glance.
Quarter Structure
Each cycle follows the same repeating sequence:
Q1 – Early phase
Q2 – Expansion / “True Open” phase
Q3 – Continuation
Q4 – Late phase / Transition
The quarters are visualized using color-coded boxes, making it easy to see:
where the market currently is in time
when a new quarter begins
when multiple cycles align or diverge
Quarter Start Marker
An optional Quarter Start Marker (vertical dashed line) can be enabled to highlight the start of a selected quarter (default: Q2).
This is intended as a time reference, not a signal:
useful for planning
useful for contextualizing reactions to levels
useful for session and cycle awareness
How to use it (practical)
This tool is best used to:
provide time structure to existing analysis
plan around upcoming time transitions
contextualize reactions to levels or areas
understand where price is acting within a cycle
It works well alongside:
discretionary price action
session-based trading
futures and index markets
any methodology that respects time as a variable
Customization
The indicator is fully customizable:
Enable / disable individual cycles
Adjust box transparency and history depth
Toggle labels and pane labels
Enable / disable quarter start markers
Select which quarter to highlight
This allows the tool to remain clean on higher timeframes and detailed on lower ones.
Important Notes
This is a visual framework, not a strategy.
No claims of predictive power are made.
Time structure does not replace risk management or execution logic.
The indicator is designed to adapt across markets, but interpretation remains discretionary.
Final Thoughts
Time is often treated as secondary to price.
This tool exists to make time visible, structured, and easy to work with — nothing more, nothing less.
