Market Context Indicator v2# Market Context Indicator v2
Market Context Indicator v2 was built around the idea that price moves between areas of liquidity, participation, and imbalance. Instead of relying on a single signal, it combines the major pieces of market structure I use to read the trading day into one clean chart.
### Session Structure
Tracks Asia, London, and New York sessions with visual session ranges, previous session highs and lows, and individual session VWAPs. This provides context for where liquidity was created and where price may revisit.
### Opening Range
Displays the NY Opening Range high, low, and midpoint. The ORB is used to identify early session acceptance, continuation, and potential directional bias.
### Liquidity Framework
Plots key higher-timeframe liquidity levels including previous week highs/lows and previous month highs/lows, allowing important external liquidity targets to remain visible throughout the session.
### Fair Value Gaps (FVGs)
Detects bullish and bearish imbalances based on three-candle displacement. FVGs include customizable minimum size, mitigation threshold, and lifespan to focus on meaningful inefficiencies.
### Order Blocks
Highlights significant areas of previous institutional participation using volume-based pivot detection. Invalidated zones are automatically removed, leaving only active areas of interest.
### High Interest Price Levels (HIPL)
A custom concept designed to identify price levels that show repeated interaction combined with meaningful volume participation. These are areas where buyers and sellers have consistently shown interest and where reactions are more likely to occur.
### Trend & Structure
Includes an EMA 9/50 trend cloud, EMA crossover highlights, and confirmed swing highs and lows to provide additional context for momentum and structural shifts.
### Purpose
This indicator is not designed to predict every move or provide automatic buy and sell signals. Its purpose is to organize the important areas of the market into one view, allowing traders to make decisions based on confluence between liquidity, imbalance, participation, trend, and session behavior.
Built from my own trading concepts and continuously refined around how I read market structure, rather than following any single trading methodology.
Penunjuk

Guapoxtrades Goal Setting & Mission PanelGT Mission Panel™ - By Guapo Trades®
Purpose- Accountability Framework towards the operator mission
Overview
The GT Mission Panel™ is a trader accountability and goal-management system designed to keep your long-term objectives visible while you operate in the short-term environment of the financial markets.
Many traders spend years developing technical skills but struggle with consistency, discipline, emotional control, and maintaining focus on their larger purpose.
The GT Mission Panel™ was created to help bridge that gap.
Rather than acting as a trading signal generator, this tool serves as a daily reminder of:
Who you are
What you're building
Why you're trading
What rules you must follow
What goals still remain ahead
The objective is simple:
Keep your mission visible when emotions are trying to take control.
Core Features
Mission Statement Integration
Create a personalized mission statement that remains visible directly on your chart.
Your mission becomes part of your trading environment rather than something forgotten in a notebook.
Purpose Reminder:
Storing the deeper reason behind your journey.
Whether your objective is:
Financial freedom
Family security
Business ownership
Legacy building
Personal growth
The purpose remains visible while decisions are being made.
Personal Creed System
Display your personal trading creed directly on your charts.
Examples:
Trade like a professional.
Protect capital first.
Discipline over emotion.
Process over outcome.
Your creed becomes a constant reinforcement mechanism.
Goal Tracking Framework & Monitor progress toward major milestones.
Examples:
Emergency Fund
LLC Formation
Capital Goals
Business Expansion
Family Trust Development
Track progress while maintaining focus on long-term execution.
Progress Meter
Automatically calculates completion percentage based on completed goals.
This creates a visual representation of progress rather than relying solely on memory.
Rule Reminder Engine
Display critical trading rules directly on your chart.
Examples:
Never risk more than 2%.
No revenge trading.
Trade only high-quality setups.
Trade with a clear mind.
When discipline is most needed, your rules remain visible.
Identity Reinforcement
The GT Mission Panel™ encourages traders to align daily actions with the person they are trying to become.
Instead of focusing solely on profit and loss, traders are reminded to think in terms of:
Process
Discipline
Consistency
Character
Long-term execution
Decision Accountability Question
The panel includes a powerful self-assessment checkpoint:
"Does this trade serve the mission?"
This simple question can help prevent impulsive decisions and emotional trades.
Why GT Mission Panel™?
Most traders lose money because of:
Emotional decision making
Lack of discipline
Goal drift
Overtrading
Revenge trading
Impatience
Very few tools address the psychological side of trading.
The GT Mission Panel™ was built specifically to keep traders focused on the behaviors required for long-term success.
Best Used For
✔ New Traders
✔ Experienced Traders
✔ Goal-Oriented Individuals
✔ Accountability Systems
✔ Trading Psychology Development
✔ Risk Management Reinforcement
✔ Habit Formation
✔ Business Owners
✔ Personal Growth Frameworks
✔ Long-Term Wealth Building
Educational Purpose
The GT Mission Panel™ is not designed to predict market direction or generate trade signals.
Its purpose is to serve as a personal accountability and organizational framework that helps traders remain aligned with their long-term objectives and trading rules.
The indicator is intended to support discipline, consistency, and decision-making processes through visual reminders and goal tracking.
Visual Optimization
GT Mission Panel™ was designed primarily for dark-theme chart layouts.
Panel colors, transparency levels, and contrast settings were optimized specifically for dark backgrounds to maximize readability and reduce visual clutter.
Users utilizing light-themed charts may wish to customize the appearance through:
Settings → Panel Transparency
Additional visual settings can be adjusted to better match personal chart preferences.
Free Community Edition
The GT Mission Panel™ is provided free of charge as part of the Guapo Trades® commitment to trader development and education.
While many tools focus on finding trades, the GT Mission Panel™ focuses on helping traders become the type of person capable of consistently executing them.
About Guapo Trades®
Guapo Trades® develops professional trading tools focused on:
Market Structure
Liquidity
Probability
Risk Management
Trading Psychology
Trader Education
Transform Market Complexity Into Actionable Information.
Disclaimer- Educational Use Only
GT Mission Panel™ is provided solely for educational and informational purposes. This indicator does not provide financial advice, investment advice, trading advice, or recommendations to buy or sell any financial instrument.
This tool is intended exclusively as a personal organization, accountability, goal-setting, and educational framework.
Trading financial markets involves substantial risk and may not be suitable for all investors. Past performance does not guarantee future results.
Users remain solely responsible for their trading decisions, risk management practices, and financial outcomes.
Always perform your own independent analysis before entering any position.
© Guapo Trades® | Professional Trading Tools Built for Serious Traders Penunjuk

F54 DividendsF54 Dividends
Overview
F54 Dividends is an informational indicator that visualises cash dividend events for the active symbol and shows event-level plus cumulative dividend context directly on the chart.
The script is designed for analysis and transparency of dividend history. It does not place orders and does not provide trade execution logic.
Why This Indicator Is Useful
Dividend income is a core component of total return for income-oriented investors, yet TradingView's default chart view gives no direct visibility into it. This indicator bridges that gap.
Yield on cost at a glance. Each label shows the dividend ratio relative to the price at the time of the ex-dividend event, so you can immediately see how yield evolved over time as the share price changed.
Cumulative income picture. The YTD, Fixed 12M, and Rolling 12M accumulation modes let you see how much income a position has generated over a meaningful period without switching to a separate data source or spreadsheet.
Pattern recognition. Seeing dividend events overlaid on price action makes it easy to spot payout consistency, growth trends, or cuts alongside the price history that accompanied them.
Monthly vs quarterly discrimination. The script automatically detects likely monthly payers and suppresses per-event noise, showing only quarter-end summaries to keep the chart readable without losing the cumulative picture.
Period boundary awareness. New accumulation periods (calendar year or 12-month anchor) are highlighted with a distinct label colour, so resets are immediately visible rather than hidden in the data.
Together these features let you assess a symbol's income quality and consistency directly on the price chart, supporting dividend-focused screening, position review, and historical context gathering.
What The Indicator Shows
- Detects ex-dividend events from TradingView dividend data.
- Displays per-event dividend amount in EUR.
- Displays per-event dividend ratio relative to a reference close.
- Displays cumulative dividend amount and cumulative dividend ratio according to the selected accumulation mode.
- Limits visible labels to the most recent N events to keep the chart readable.
Accumulation Modes
- YTD: Resets cumulative values at the start of each calendar year.
- Fixed 12M: Uses a fixed 12-month period anchored by the current month.
- Rolling 12M: Uses a continuously rolling 365-day window.
Inputs
- Show last N labels: Controls how many recent dividend labels remain visible.
- Accumulation mode: Selects how cumulative values are calculated (YTD, Fixed 12M, Rolling 12M).
How To Read Labels
Each label includes:
- Dividend amount for the current ex-day.
- Event ratio (R) for the current ex-day.
- Cumulative amount for the selected period.
- Cumulative ratio (R) for the selected period.
- In YTD and Fixed 12M modes, the start of a new accumulation period is highlighted with a teal label.
Notes And Limitations
- Output depends on TradingView dividend data availability and symbol coverage.
- Currency display is EUR in this script configuration.
- Label visibility may vary with chart scaling and timeframe.
- In Rolling 12M mode, accumulated values are window-based and may fall when older ex-dividend events leave the 12-month window, which can be confusing if a steadily increasing total is expected.
- Past data can be revised by data providers; values are informational.
Compliance And Disclaimer
This script is for educational and informational purposes only.
It is not investment advice, not a solicitation, and not a guarantee of future results.
Always perform your own research and risk assessment before making investment decisions. Penunjuk

Liquidity & Trend: Spot Buy/SellLiquidity & Trend: Spot Buy/Sell
A spot position tool for the daily chart. Long or cash only, no shorting, no leverage. It answers one question: should I be holding this asset right now, or sitting in cash? It does that by reading the global liquidity tide and, for alts, the asset's own price trend, then printing plain BUY and SELL signals.
The idea
Global liquidity is usually drawn as a line laid over Bitcoin, but the level of money supply next to price is noisy and the relationship drifts in and out. What holds up better is the impulse: the rate of change of liquidity, normalized. This indicator is built entirely on that impulse, and on the long-observed tendency for it to lead Bitcoin by roughly a quarter.
How it works
Global M2 is built from the M2 money supply of the US, Eurozone, Japan, China, UK and Canada, each converted to USD by its FX rate, then summed.
The impulse: Global M2 is smoothed with a 10-day average, its 90-day rate of change is taken, and that is z-scored against the trailing 365 days. That single z-line is the engine.
Regime: liquidity turns bullish when the impulse z crosses above +0.4 standard deviations and bearish below −0.4, with hysteresis in between and a 14-day confirmation before any flip commits. It is deliberately slow. It is built for cycles, not for days.
Trend leg (for alts): a dual smoothed moving average (Wilder/RMA) cross, lengths 15 and 29, on the chart's own price. It captures the asset's own momentum, which the macro data cannot see.
Minimum hold: one uniform rule for every asset. A position is held at least 2 bars before the opposite signal can fire, which removes next-day round-trip whipsaw on volatile names. It is a structural setting, identical across assets, not tuned per coin.
Three modes
Liquidity: hold when the liquidity regime is bullish. Best fit for Bitcoin, which tracks the global tide closely.
Trend (SMMA): hold when the price trend is bullish. A pure trend follower for the charted asset.
Combined (OR): hold when either liquidity or price trend is bullish, and move to cash only when both are bearish. Built for altcoins, where the macro read alone is too slow to catch asset-specific moves.
Suggested use: Liquidity mode on BTC, Combined mode on alts.
On the chart
BUY and SELL markers where the position state changes.
Background shading: green when the model says hold, red when it says cash. These signals and the shading always cover the entire chart.
The two trend SMMA lines, colored by direction (optional).
A forward projection ribbon to the right of price: it slides the recent liquidity impulse forward by the lead and paints green for a projected tailwind, red for a projected headwind. It runs on a lightly smoothed version of the raw impulse so it stays earlier than the confirmed signal without flickering. It is context only, since price itself cannot be projected, and it is not a trade trigger.
A live-state table: the active mode, current action, the liquidity state, the price-trend state, the current impulse z, the short-term impulse direction, a three-week z trail, the projected tide, the signal-health status, and days in state.
Signal-health monitor
Every liquidity relationship eventually decays, so the indicator watches its own edge. It tracks the one-year correlation between the lead-shifted impulse and price momentum, and the two-year gap between average daily returns on liquidity-bullish days versus liquidity-bearish days. If that gap stays negative for a month it flags the model as degraded. The aim is to be told when the relationship stops working, not flattered by it.
Optional backtest
A simple long-or-cash spot backtest can be switched on in the table (off by default). It shows trades, return, buy-and-hold and max drawdown, measured from a configurable start date (default 2017, the live-data era). It is a basic simulation for context, not a performance promise, and it never affects the buy/sell signals.
Alerts
BUY signal, SELL signal, liquidity impulse upturn or downturn confirmed (early context, not a trigger), and signal health degraded or recovered.
How to use it
Run it on the 1D timeframe. Read the green/red state as a position regime, not a precise top or bottom timer. The model confirms turns rather than predicting them, so it tends to be a little late to the exact low and the exact high, by design, in exchange for not whipsawing.
Settings reference
Impulse window 90 days, smoothing 10 days, z-score window 365 days.
Regime band ±0.4 standard deviations, liquidity confirmation 14 days.
Trend SMMA lengths 15 and 29.
Minimum hold 2 days (uniform anti-whipsaw).
Projection lead 91 days (about 13 weeks), projection smoothing 3 days.
Backtest off by default, with start date, start capital and a per-trade cost.
What it does not do
It does not call tops or bottoms, it does not short or use leverage, and it cannot dodge a one-day shock because the confirmation logic needs more than one bar. It is built for gradual, liquidity-driven cycles and it will sit through deep drawdowns, especially on alts. The macro data updates monthly and on a lag, so treat the liquidity read as a backdrop, not a high-frequency timer.
Originality
Most liquidity tools overlay the level of Global M2 on price. This one works off the impulse, normalizes it into a confirmed regime, fuses that with the asset's own trend for alts, projects the leading edge forward, and monitors whether the liquidity-to-price relationship is still alive. The combination, and the self-check, are the point.
For education and research only. Not financial advice and not a recommendation to buy or sell any asset. Markets are risky and you can lose money. Do your own research. Penunjuk

TJR v4 StrategyHere's a short publish description:
TJR PRO — Sweep → BOS→ FVG
An ICT-style strategy built on a single model: price raids liquidity, shifts market structure, then returns to the fair value gap for entry.
The model:
Sweep — a liquidity pool gets raided (PDH/PDL, PWH/PWL, Asia/London/NY session highs & lows, EQH/EQL)
MSS — market structure shifts in the opposite direction (displacement break)
FVG — price retraces into the resulting fair value gap (entry at the edge or 50% / consequent encroachment)
Filters & confluence: ADX chop filter, two-sided raid cooldown, manual news blackout, HTF bias (EMA), SMT divergence, midnight-open alignment, killzone timing — combined into an adjustable confluence score.
Risk: 1% risk-per-trade sizing (or fixed contracts), automatic stop beyond the sweep, target cascade to the nearest unswept pool with a fallback R:R.
Adaptive profiles for scalping (1–5m) and intraday (15m–1H). Includes a live info panel and on-chart trade boxes.
Educational tool — not financial advice. Backtest results do not guarantee future performance.
Strategi

Risk/Reward Calculator & Position Size Dashboard📝 DESCRIPTION (ENGLISH)
Risk/Reward Calculator and Position Size - Professional Dashboard
This advanced indicator helps you plan every trade with mathematical precision, automatically calculating Take Profit, Draw Down, and profits based on your capital, position size, and selected instrument.
KEY FEATURES:
🎯 Smart Take Profit Calculation
Percentage Mode: enter your desired % and the script calculates the exact price
Specific Price Mode: enter your target price and the script calculates the corresponding %
Full support for LONG and SHORT positions
💰 Dynamic Draw Down Management
Set maximum risk in dollars (e.g., $500)
Calculation automatically adapts to your position size
With size 0.01 and $500 risk = 500 points distance
With size 0.02 and $500 risk = 250 points distance
📊 Professional Dashboard
Top-right table with all crucial data
Adjustable size (Small, Normal, Large)
Shows: Capital, Size/Leverage, Value per Point, TP, Profit, DD, Entry Price
📈 Visual Chart Lines
White line: Entry Price
Solid green line: TP Long
Dotted green line: TP Short
Dotted red lines: DD Long and Short (optional)
Adjustable line length
🌍 Multi-Instrument Support
Gold (XAU - 100)
Silver (XAG - 5000)
Standard Forex (EURUSD - 100,000)
Bitcoin (BTC - 1)
Ethereum (ETH - 1)
Indices (US30/NAS100 - 1)
Custom (enter your own multiplier)
HOW TO USE:
Add the indicator to your chart
Open settings (⚙️)
Set your capital and select the instrument
Enter position size and leverage
Choose TP mode (Percentage or Specific Price)
Set Max Draw Down
Read the results in the dashboard!
PRACTICAL EXAMPLE:
Capital: $10,000
Instrument: Gold (XAU)
Size: 0.01 lots
Max DD: $500
Entry: 4218.97 (current price)
TP Mode: Specific Price → 4250
Result: Dashboard shows TP Long at 4250.00 (0.74%), profit of $31.03, DD Long at 3718.97
PERFECT FOR:
Traders who want precise calculations before entering positions
Professional risk management
Visual trade planning
Multi-timeframe analysis
Prop trading and demo accounts
____________
📝 DESCRIZIONE (ITALIANO)
Calcolatore Risk/Reward e Position Size - Dashboard Professionale
Questo indicatore avanzato ti aiuta a pianificare ogni trade con precisione matematica, calcolando automaticamente Take Profit, Draw Down e profitti in base al tuo capitale, size e strumento selezionato.
FUNZIONALITÀ PRINCIPALI:
🎯 Calcolo Take Profit Intelligente
Modalità Percentuale: inserisci la % desiderata e lo script calcola il prezzo esatto
Modalità Prezzo Specifico: inserisci il prezzo target e lo script calcola la % corrispondente
Supporto completo per posizioni LONG e SHORT
💰 Gestione Draw Down Dinamica
Imposta il rischio massimo in dollari (es. 500$)
Il calcolo si adatta automaticamente alla tua size
Con size 0.01 e rischio 500$ = 500 punti di distanza
Con size 0.02 e rischio 500$ = 250 punti di distanza
📊 Dashboard Professionale
Tabella in alto a destra con tutti i dati cruciali
Dimensione regolabile (Piccola, Normale, Grande)
Mostra: Capitale, Size/Leva, Valore per Punto, TP, Profitto, DD, Entry Price
📈 Linee Visive sul Grafico
Linea bianca: Prezzo di Entry
Linea verde continua: TP Long
Linea verde tratteggiata: TP Short
Linee rosse tratteggiate: DD Long e Short (opzionali)
Lunghezza linee regolabile
🌍 Supporto Multi-Strumento
Oro (XAU - 100)
Argento (XAG - 5000)
Forex Standard (EURUSD - 100.000)
Bitcoin (BTC - 1)
Ethereum (ETH - 1)
Indici (US30/NAS100 - 1)
Personalizzato (inserisci il tuo moltiplicatore)
COME USARLO:
Aggiungi l'indicatore al grafico
Apri le impostazioni (⚙️)
Imposta il tuo capitale e seleziona lo strumento
Inserisci la size e la leva
Scegli la modalità TP (Percentuale o Prezzo Specifico)
Imposta il Max Draw Down
Leggi i risultati nella dashboard!
ESEMPIO PRATICO:
Capitale: 10.000$
Strumento: Oro (XAU)
Size: 0.01 lotti
Max DD: 500$
Entry: 4218.97 (prezzo attuale)
TP Mode: Prezzo Specifico → 4250
Risultato: La dashboard mostra TP Long a 4250.00 (0.74%), profitto di 31.03$, DD Long a 3718.97
PERFETTO PER:
Trader che vogliono calcoli precisi prima di entrare in posizione
Gestione professionale del rischio
Pianificazione visiva dei trade
Multi-timeframe analysis
Prop trading e conti demo Penunjuk

Penunjuk

Penunjuk

Penunjuk

Gold Macro Dashboard [invincible3]Gold Macro Indicator Dashboard
A professional macro-driven gold dashboard designed to evaluate the broader gold market regime using automatically sourced TradingView data. The indicator combines real yields, dollar strength, rate expectations, risk-off demand, gold breadth, and confirmation ratios into a single 0–100 Gold Macro Score.
The model uses a fixed daily macro timeframe, so dashboard readings stay consistent across intraday, daily, and weekly charts.
Main Features
Fixed Daily macro scoring
0–100 Gold Macro Score oscillator
Macro Regime classification
Macro Strength score
Real Yield driver
DXY / US Dollar driver
Gold liquidity proxy
US 2Y rate outlook
VIX risk-off signal
Cross-currency gold breadth
Gold/Silver ratio
Gold/S&P 500 ratio
Copper/Gold ratio
US 10Y–2Y yield spread
Crypto-style clean dashboard layout
Dark/light theme adaptive colors
No manual macro inputs
Score Interpretation
80–100: Strong Bull
60–80: Bullish
40–60: Neutral
20–40: Bearish
0–20: Strong Bear
How It Works
The composite score is weighted as follows:
Real Yield 10Y: 30%
US Dollar DXY: 25%
Gold liquidity proxy: 15%
US 2Y rate outlook: 10%
Risk-Off VIX: 10%
Gold breadth: 10%
Gold breadth checks whether gold is trending higher across major currencies, including XAUUSD, XAUEUR, XAUJPY, XAUGBP, and XAUCNH.
Use Case
This indicator is designed for traders and investors who want a macro-level view of gold’s trend quality. It can help identify whether gold strength is supported by broad macro conditions or only short-term price movement.
Disclaimer
This is an educational macro model only. It is not financial advice and should not be used as a standalone buy or sell signal. Always combine it with your own risk management, technical analysis, and market research. Penunjuk

Liquidity Map & Execution Cost# Liquidity Map & Execution Cost
## What this script does
LMX answers three execution questions most indicators ignore: **how expensive is it to get in and out right now, how hard would it be to move size, and where on the chart will price struggle versus travel freely.** It reads only the chart's own price and volume — no symbol is hardcoded, so it runs on any asset and any market (equities, futures, FX, crypto, indices) — and turns the answers into a plain-language trade check: liquidity state, suggested position size, order type, estimated slippage, and a colour-coded map of support, resistance, walls and open gaps.
## Why these components are combined (mashup justification)
This is not several indicators stacked together — it is one liquidity model whose parts each answer a question the others cannot, and they are designed to be read together. Removing any one leaves a specific blind spot:
1. **Cost to cross — effective spread.** Estimated with the EDGE estimator (Ardia, Guidotti & Kroencke 2024) from open/high/low/close, cross-checked against Abdi-Ranaldo (2017) and Corwin-Schultz (2012). This tells you the round-trip cost of entering, which spread-blind tools cannot show. Alone, it says nothing about moving size or about levels.
2. **Cost to move size — price impact.** The Amihud (2002) illiquidity ratio with a high-low refinement, plus a rolling Kyle (1985) lambda computed as a true regression slope. This tells you how far your own order would push price — the question that matters for sizing, and one a spread estimate cannot answer.
3. **Direction of pressure — order imbalance.** A close-location signed-volume imbalance and its persistence. This tells you which side is leaning now, adding direction that the cost measures lack.
4. **The spatial map — volume at price.** A time-decay-weighted, range-distributed volume profile that yields the Point of Control and Value Area (standard 70% method), rendered as directional zones: green support below price, red resistance above, solid = a wall price struggles at, faint = an open gap price slides through. This converts the abstract cost/impact numbers into *locations* on the chart.
5. **Anchored VWAP — fair value.** A volume-weighted average anchored to your chosen reference (last major swing by default; or session/week/month open, or the highest-volume bar), drawn as a trend-coloured line. It is the dynamic counterpart to the static profile: where the average participant is positioned, and whether price is rich or cheap versus that.
Together they form one decision: the spread and impact set the **cost and size**, the imbalance and VWAP set the **direction and fair value**, and the map sets the **location** — so the output is "trade full size with market orders, buyers in control, room to run up to the gap above," not five separate readings.
## How a reading is produced
Each estimator is normalised to a percentile of its own history so thresholds adapt to every symbol and timeframe. The inverted spread, inverted impact and depth combine into a 0–100 **Liquidity Score**, classified as Deep / Normal / Thin / Stressed (a sudden impact spike forces Stressed). The score drives the suggested size multiplier, the order-type advice and the slippage estimate. The map is rebuilt on the last bar from the volume-at-price profile.
## How to use it
- Apply to any symbol. Set the price source and, if you trade very low intraday timeframes, optionally fix the calc timeframe (e.g. Daily) so the spread estimators stay stable. On symbols without real volume the volume modules disable automatically and the score leans on the spread estimators (the panel shows "price-only").
- **Simple mode (default)** gives plain-language guidance: Liquidity, Trade cost, Pressure, Position size, Orders, Watch-out, Fair value, and a one-line verdict. **Pro mode** exposes the full readout (spread in bps, Amihud and Kyle percentiles, depth, imbalance, flow persistence, value-area levels).
- On the chart: trade toward green support, expect resistance at red, size down where the map is thin (price moves fast there), and read the trend-coloured fair-value line for rich/cheap context.
- Alerts: liquidity-state change and sudden liquidity withdrawal.
## Originality
The combination is the original contribution: a single overlay that fuses low-frequency **spread**, **impact** and **imbalance** estimators with a **time-decay, range-distributed volume profile** and an anchored fair-value line, then translates all of it into sizing/order/slippage decisions in plain language. The building blocks are public-domain methods (EDGE, Abdi-Ranaldo, Corwin-Schultz, Amihud, Kyle, volume-profile Value Area, anchored VWAP), each used for the specific job described above and cited in the script header.
## Limitations (please read)
- These are **low-frequency estimators** of quantities normally measured from quote/tick data. They approximate — they do not measure — the true spread, depth, or dealer book.
- Volume-based modules require a real volume feed; they disable on symbols without one.
- Spread estimators were validated on daily-type bars; on very fast intraday timeframes they are noisier — use the calc-timeframe option if needed.
- The on-panel statistics are computed on the loaded chart history.
- This is an analysis tool, **not financial advice.** Test before use and trade at your own risk.
Penunjuk

Penunjuk

Penunjuk

Penunjuk

Penunjuk

FX Fundamental Strength - Scorecard macro par deviseDescription
FX Fundamental Strength calcule un score de force fondamentale pour 8 devises majeures (USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD) et les classe en temps reel. L'objectif est de fournir un contexte macro clair, pas un signal d'entree.
Pour chaque devise, l'indicateur combine 4 metriques:
Taux directeur (request.economic INTR): plus il est haut, plus la devise est forte.
Inflation annuelle (IRYY): par defaut une inflation elevee est lue comme hawkish (option desactivable).
Momentum du rendement 2 ans: variation du taux 2 ans sur N jours, un rendement qui monte renforce la devise.
Taux de chomage (UR): plus il est bas, plus la devise est forte.
Notation relative
Chaque metrique est notee en relatif: une devise gagne des points selon le nombre d'autres devises qu'elle bat sur cette metrique. Cette approche est robuste aux echelles differentes et aux donnees manquantes (une valeur indisponible vaut 0 point sans casser le calcul). Les 4 scores sont ensuite combines selon des ponderations reglables (par defaut: Taux 40, Momentum 25, Inflation 20, Chomage 15).
Le resultat est un score de 0 a 100 par devise, ou 100 represente la plus forte du panier, avec un classement et un code couleur.
Biais LONG / SHORT
L'indicateur met en avant la devise la plus forte et la plus faible du moment, et propose un biais directionnel: LONG sur la plus forte, SHORT sur la plus faible. Des alertes se declenchent quand la devise la plus forte ou la plus faible change.
Parametres principaux
Ponderations des 4 metriques
Fenetre du momentum 2 ans (jours)
Symboles des rendements 2 ans modifiables (par exemple basculer sur le 10 ans si le 2 ans n'est pas disponible)
Position, taille et affichage du tableau
A noter
C'est un outil de contexte fondamental, a croiser avec ton propre timing (structure de marche, niveaux, methodologie d'execution). L'EUR utilise le Bund allemand comme proxy de rendement. 32 appels de donnees au total (4 metriques x 8 devises), sous la limite Pine. Penunjuk

Crypto: Macro Heatmap [invincible3]Crypto Macro Heatmap is an automatic market-regime dashboard designed to summarize crypto macro conditions using liquidity, leverage, breadth, and risk-participation metrics.
The indicator converts multiple market data sources into normalized 0–100 scores and displays them in a structured heatmap table. It is built to help traders quickly understand whether the broader crypto environment is risk-on, neutral, or risk-off.
Main dashboard sections:
1. Liquidity
Tracks Global M2, total crypto market cap, USDT dominance, and BTC volume confirmation. Higher liquidity scores generally suggest stronger macro support for crypto markets.
2. Leverage
Tracks open interest pressure, funding-risk proxy, liquidation-risk proxy, and OI acceleration. Higher leverage scores mean higher stress or crowding risk.
3. Breadth
Tracks TOTAL2, TOTAL3, BTC dominance, ETH dominance, and altcoin participation. This section helps identify whether market strength is broad or concentrated.
Key features:
* Fully automatic scoring
* No manual market-score inputs
* Dashboard show/hide checkbox
* Light/dark chart theme detection
* Composite regime score
* Regime meter
* Market phase detection
* Risk-state classification
* Confidence score
* Section delta versus 7 days ago
* Fixed-width heatmap layout for cleaner visual alignment
The composite score combines liquidity support, market breadth, and leverage-adjusted risk into one regime reading. The dashboard is intended for macro context and regime analysis, not direct buy or sell signals.
Use this tool as a higher-timeframe market filter together with your own technical analysis, risk management, and trading system.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice. Always do your own research and manage risk carefully.
Penunjuk

Penunjuk

MARKET OS [Viprasol]MARKET OS — Cost-Aware Regime & Signal Engine
═══════════════════════════════════════════════════════════
THE IDEA IN ONE LINE
═══════════════════════════════════════════════════════════
Most indicators read one thing — trend, volume, or structure — and leave you
to guess the rest. MARKET OS reads the market across four independent
dimensions at once, fuses them into a single 0-100 Market Score, and grades
every signal A/B/C — including something no other signal engine on
TradingView shows: the estimated ROUND-TRIP TRADING COST of taking that
signal, stamped right on the label.
═══════════════════════════════════════════════════════════
THE FOUR DIMENSIONS
═══════════════════════════════════════════════════════════
1. DIRECTION — adaptive trend + market structure
A Kaufman Adaptive Moving Average (KAMA) baseline that hugs price in
trends and slows down in chop, combined with swing structure tracking
(BOS continuation counts and CHoCH reversals with a configurable
confirmation requirement). Direction scores highest when adaptive trend
and structure AGREE.
2. QUALITY — efficiency regime
The Kaufman Efficiency Ratio (0 = pure chop, 1 = perfect one-way move)
classifies the environment as TRENDING / TRANSITION / CHOPPY. A breakout
in a trending regime and the same breakout in chop are not the same trade
— this dimension prices that difference into the score.
3. PARTICIPATION — effort vs result (Wyckoff)
Relative volume (EFFORT) is compared against ATR-normalized price movement
(RESULT) on every bar:
• High effort + high result = CONVICTION (real participation)
• High effort + low result = ABSORPTION (volume swallowed — warning
crosses on the chart; a classic exhaustion footprint)
• Low effort + high result = THIN MOVE (prone to fade)
4. COST — EDGE effective spread (the genuinely new part)
The engine embeds the EDGE estimator from Ardia, Guidotti & Kroencke,
"Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close
Prices", Journal of Financial Economics 161 (2024) — an asymptotically
unbiased estimator of the effective bid-ask spread computed from nothing
but OHLC bars. The current spread is ranked against the symbol's own
history, so the engine knows when this market is CHEAP or EXPENSIVE to
trade. To my knowledge this is the first TradingView signal engine that
measures its own trading cost.
═══════════════════════════════════════════════════════════
THE FUSION: MARKET SCORE & STATE
═══════════════════════════════════════════════════════════
The four dimensions are combined into a weighted composite score
(Direction 30%, Quality 30%, Participation 25%, Cost 15%):
75-100 ◆ PRIME — everything aligned, cheap to trade
55-74 ◆ FAVORABLE — good conditions
35-54 ◆ MIXED — partial alignment
0-34 ◆ HOSTILE — choppy / absorbed / expensive (background shaded)
Candles are colored on a continuous gradient from neutral gray to full trend
color as the score rises — you can see environment quality at a glance,
without reading a single number.
═══════════════════════════════════════════════════════════
SIGNALS — GRADED AND COST-STAMPED
═══════════════════════════════════════════════════════════
Entries are structure reversals (CHoCH) confirmed by the adaptive trend,
gated by a minimum score, and stamped with:
▲ LONG
Score 82
Cost 4.2t / Tgt 38t (11.1%)
That last line is the engine's cost-awareness: estimated round-trip spread
cost in ticks, your ATR-based target in ticks, and the percentage of your
target the spread will consume. If the cost eats 25%+ of the target, an
alert can tell you the trade is structurally overpriced — BEFORE you take it.
C-grade signals (reversal fired, but the environment scored poorly) are
hidden by default. They look like signals and trade like donations.
═══════════════════════════════════════════════════════════
HOW TO USE
═══════════════════════════════════════════════════════════
1. Pick a Preset: Fast (1-15m), Default (15m-1H), Smooth (1H+).
2. Trade A-grade signals in PRIME/FAVORABLE states, in the signal direction.
3. Treat ABSORPTION crosses as early reversal warnings.
4. Check the Round-Trip Cost row before entering — if the spread eats a
large slice of your target, size down, widen the target, or skip.
5. Use HOSTILE shading as a stand-aside filter.
6. Raise "Minimum Score to Signal" for fewer, cleaner entries.
═══════════════════════════════════════════════════════════
SETTINGS
═══════════════════════════════════════════════════════════
Engine — preset, KAMA length, structure pivot width.
Quality — ER smoothing and trending/choppy thresholds.
Participation — effort and result thresholds.
Cost — EDGE window, cost-regime lookback, target size in ATR multiples.
Signals — minimum score, C-grade visibility, BOS-before-flip, cooldown.
Visuals — colors, adaptive cloud, structure levels, gradient candles,
hostile shading, absorption markers.
Dashboard — position and size.
Alerts (8): Long, Short, A-Grade Signal, Prime State, Hostile State,
Absorption, High Cost Regime, Cost Eats Edge (≥25% of target).
═══════════════════════════════════════════════════════════
HONEST LIMITATIONS
═══════════════════════════════════════════════════════════
• The EDGE estimator is asymptotic — short windows are noisy, and on very
illiquid symbols or synthetic OHLC feeds (some forex/CFD data) the cost
dimension degrades; the engine then treats cost as neutral rather than
fabricating a number.
• Volume-based participation requires reliable volume data.
• Structure detection depends on pivot settings and timeframe.
• The score weights encode a judgment (direction and quality matter most);
they are not optimized parameters and you should not treat the score as a
probability.
• This is an analytical decision-support tool, not a trading system. Past
performance does not guarantee future results. Not financial advice.
═══════════════════════════════════════════════════════════
CREDITS & ORIGINALITY
═══════════════════════════════════════════════════════════
The EDGE estimator methodology belongs to David Ardia, Emanuele Guidotti and
Tim A. Kroencke (Journal of Financial Economics 161, 2024, 103916,
doi 10.1016/j.jfineco.2024.103916). KAMA and the Efficiency Ratio are Perry
Kaufman's public concepts; Effort-vs-Result is a Wyckoff principle. All code
in this script — the Pine implementation of EDGE from the published formulas,
the four-dimension fusion model, the composite scoring and state machine, the
cost-stamped signal engine, and all visualization — is original Viprasol work
written from scratch for this indicator. No third-party Pine code is reused.
Penunjuk

ORB Retest Pro v3 + Smart ZonesORB Retest Pro v3 + Smart Zones is a customizable Opening Range Breakout indicator built for traders who want clean ORB structure, retest-based entries, and real-time smart money confluence on the chart.
The indicator maps the Opening Range High, Low, Mid, and ORB box, then waits for price to break the range and retest it before printing a signal. This helps filter out weaker breakout candles and focuses on more structured continuation setups.
In addition to ORB logic, the script detects and displays real-time Fair Value Gaps (FVGs), Inversion Fair Value Gaps (IFVGs), Order Blocks (OBs), and Breaker Blocks using customizable zone boxes. Zones can be shown or hidden individually, colors can be fully customized, and broken zones can automatically remove themselves from the chart to keep the layout clean.
A key feature of this indicator is its smart zone behavior. When enabled, broken FVGs can automatically convert into IFVGs, allowing the chart to reflect changing market structure instead of leaving outdated zones on screen. You can also keep zones from previous sessions visible and control the number of days to look back, making it useful for both intraday and multi-session analysis.
The indicator is designed to work well on futures and stocks, with adjustable session times, timezone settings, and an optional timeframe filter so the ORB can be tailored to different markets and trading styles.
Features
Custom Opening Range session
Adjustable timezone
ORB high, low, mid, and box
Break + retest signal logic
Optional reclaim / rejection close confirmation
ATR displacement filter
Minimum breakout distance in ticks
Retest must occur within a user-defined number of bars
One signal per side per day or one total signal per day
Real-time FVG, IFVG, OB, and Breaker detection
Fully customizable zone colors and visibility
Optional automatic removal of broken zones
Optional FVG to IFVG conversion
Ability to keep previous-day zones on the chart
Adjustable lookback period
Confluence-based signal coloring
Built-in alerts
Best use
This indicator is best used on intraday charts such as 1m, 3m, 5m, and 15m, especially for traders who want to combine Opening Range Breakout structure with smart money zone confluence.
Notes
FVG, IFVG, Order Block, and Breaker logic are rule-based and designed for consistent automation inside Pine Script. They may not match every discretionary interpretation exactly, but they provide a structured and practical framework for real-time chart analysis.
Penunjuk

Volume Profile Composite, Naked POC & Value-AreaVolume Profile — Composite, Naked POC & Value-Area
==================================================
WHAT IT IS
A volume-at-price profile built for depth and decisions. It measures where trade
actually concentrated across the loaded history, distils that distribution into
the levels traders use — Point of Control (POC), Value Area (VAH/VAL), High and
Low Volume Nodes (HVN/LVN), and untested "naked" prior-session POCs — and then
converts those levels into a plain-language read of where price sits in the
auction (premium, discount, or inside value; balancing or migrating).
It is a study for chart analysis and education. It plots levels and context; it
does not place orders and does not output buy/sell signals.
HOW IT WORKS (ENGINE)
Volume is accumulated bar by bar into a price-keyed map on a fine grid (the
symbol's minimum tick multiplied by a user factor), then re-aggregated to the
chosen number of display rows. Because the engine uses a map rather than a fixed
lookback array, the profile can span every loaded bar instead of only a recent
window, and it is not limited by the historical bar-reference ceiling.
Each bar's volume is distributed across that bar's high-low range over a capped
number of samples, and tagged buy or sell by bar direction, producing a two-tone
histogram and a per-level delta. Where intrabar (lower-timeframe) data is
available, recent history can optionally be refined from it; older bars fall back
to the bar-range method. The Value Area is grown outward from the POC bin until
the chosen percentage of total volume is captured. Prior-day, prior-week and
full-history composite levels reuse the same value-area routine on their own maps.
The heavy redraw runs on bar open/close rather than on every realtime tick, to
keep live charts responsive.
WHY THESE COMPONENTS ARE COMBINED (MASHUP JUSTIFICATION)
This is one volume-profile engine, not a stack of independent indicators. Every
layer is computed FROM THE SAME accumulated volume map, and each one exists to
remove a specific blind spot of the raw histogram. A bare histogram only answers
"where did volume happen"; it cannot tell you whether price is rich or cheap,
which level matters next, or whether the market is balancing or trending. The
combined layers answer those questions, and they work together as follows:
- POC and Value Area transform the raw distribution into a fair-value frame, so
every other reading can be expressed as premium, discount, or inside value.
- HVN and LVN classify each price level produced by that same distribution as
acceptance (a volume shelf where reactions are more likely) or a thin gap
(where price tends to move quickly). This tells you how a level is likely to
behave, which the POC/Value Area alone do not.
- Naked prior-session POCs carry acceptance forward in time: they are POCs from
earlier sessions that price has not yet traded back through, derived from the
same per-session maps, and they act as revisit references.
- Value migration is simply the sequence of those session POCs read as a
direction, turning the profile history into a balancing-versus-trending read.
- The composite overlay keeps the full-history POC and Value Area in view while
you work a shorter, more legible recent window, so context is never lost.
- VWAP, Initial Balance, an expected-move band, and cumulative-volume-delta
divergence are confluence layers. They are optional and each degrades
gracefully if its data is absent. They are included because volume-profile
levels are used in context: VWAP gives the session's volume-weighted mean,
Initial Balance gives the opening reference, the expected-move band frames a
realistic day's range, and CVD-versus-price flags exhaustion. Each one answers
"does independent volume/price information agree with what the profile shows
here?", which is exactly how these levels are traded in practice.
- The Auto-Read is the synthesis step: it does not add new data, it ranks the
levels the engine already produced by distance to price and states the auction
context in words.
In short, the histogram is the raw material and every other element is a
transformation of that same data into a level, a classification, a confluence
check, or a written read. That shared derivation is the reason they belong in a
single script rather than as separate indicators.
WHAT IT PLOTS
- Buy/sell two-tone histogram, drawn in the clear space to the right of price so
candles stay visible.
- POC, Value Area (VAH/VAL, adjustable percentage), HVN/LVN nodes.
- Naked daily POCs, with a creation-time check that skips levels already traded
through and an optional age-out so the list stays meaningful.
- Polarity flip: a prior-day Value Area edge that price closes decisively beyond
and holds changes role (broken VAH becomes support; broken VAL becomes
resistance) and feeds the support/resistance read.
- Prior-day and prior-week POC/Value Area, full-history composite overlay,
developing POC.
- VWAP with standard-deviation bands, Initial Balance, expected-move band,
cumulative-volume-delta divergence, buy/sell imbalance shelves, poor highs/lows,
single-print gaps.
- Higher-timeframe POC bias (a light proxy — see Limitations).
- Auto-Read dashboard (full or compact), one-line headline, and an on-chart
identity strip showing the script name, symbol and timeframe.
HOW TO USE
1. Choose a scope: Rolling (default), Composite (all history), From date, or
Fixed range. The composite overlay keeps the big-picture levels visible.
2. Read location first from the headline or dashboard: inside value, premium, or
discount, and whether value is migrating up, down, or flat.
3. Treat the levels as a map, not a signal. POC acts as a mean-revert magnet;
Value Area edges are balance boundaries; HVN suggests stalls; LVN suggests
fast moves; a naked POC is a revisit reference.
4. Look for confluence with VWAP, Initial Balance, and prior-session levels, and
treat CVD divergence as a caution flag.
5. Detail presets (Simple / Standard / Pro) gate how much is shown. A compact
dashboard toggle trims the table to the key decision fields.
WHAT MAKES IT ORIGINAL
- Full-history depth via the price-keyed map, beyond a fixed lookback window.
- A built-in, past-only calibration of the profile's own claims: it logs
value-edge and POC-stretch reversion events against the prior-day Value Area
(which exists on every bar, so the measurement backfills over history), waits a
fixed horizon, and reports the realised hit-rate with a 95% confidence
interval. This is descriptive of past behaviour on the specific instrument; it
is explicitly not a backtest and not a forecast.
- A decision-ordered, plain-language Auto-Read derived entirely from the engine's
own levels.
DATA SOURCE AND ANY-MARKET USE
The volume source is user-selectable (Settings > Data source), so the profile can
be built from the symbol's own volume or from any other series your feed
provides. For symbols that report no native volume (some cash indices and FX
feeds), an optional "borrow volume" field lets you supply a volume-bearing proxy
for the same instrument; it only activates when the charted symbol genuinely has
no volume. The volatility-index symbol for the expected-move band is also
user-set and falls back to a daily-ATR band when left blank. An optional
asset-class auto-tune adapts the grid and node percentiles to the detected class.
All of these are blank or off by default, so nothing is tied to one market.
CALIBRATION NOTE
The calibration panel is descriptive only. It reports how often, in the past, on
the current symbol, price followed through after the logged events. Small samples
are flagged. It is not a probability of future results.
LIMITATIONS (HONEST)
- This uses a BAR-RANGE volume distribution (optionally refined by lower-timeframe
bars). It approximates where volume traded within each bar. It is NOT exchange
price-by-price volume, tick data, or order-flow/footprint, and it cannot see
bid/ask.
- It needs real volume. Cash indices often report none — use the matching future
or continuous contract, or the borrow-volume field.
- The higher-timeframe POC is a light single-bar proxy (the price of the
highest-volume higher-timeframe bar over a lookback), not a full higher-
timeframe profile.
- All readings are probabilistic context, not predictions.
DISCLAIMER
This script is a study/indicator for chart analysis and education only. It is NOT
a strategy, NOT a recommendation, and NOT financial advice. It places no orders
and guarantees no result. Trading involves substantial risk; a level's past
behaviour does not assure future behaviour. Do your own research and manage your
own risk.
Penunjuk

Stock: Comparison Dashboard [invincible3]Stock: Comparison Dashboard
**Stock: Comparison Dashboard ** is a fundamental and market-strength comparison tool designed to compare two stocks side by side directly on the TradingView chart.
The dashboard helps traders and investors quickly evaluate which stock is stronger across multiple financial dimensions, including growth, income statement strength, profitability, valuation, cash flow quality, financial strength, liquidity, dividend quality, and relative price strength.
Key Features
1. Two-Stock Comparison
Select any two symbols and compare their financial metrics side by side. The dashboard displays both raw values and category-based scores.
2. Fundamental Metrics
The indicator includes a wide set of financial metrics, such as:
* Revenue growth
* EPS growth
* Total revenue
* Operating income
* Net income
* Margins
* Return on equity
* Price-to-earnings ratio
* Price-to-sales ratio
* Free cash flow
* Debt ratios
* Current ratio
* Dividend yield
* Dividend payout ratio
3. Category Scores
The dashboard calculates separate comparison scores for:
* Growth Score
* Income Score
* Profitability Score
* Valuation Score
* Cash Flow Score
* Financial Strength Score
* Liquidity Score
* Dividend Score
* Relative Strength Score
4. Proportional Scoring System
The scoring system uses proportional comparison instead of simple winner-take-all logic.
For example, if one stock has 16% growth and another has 18% growth, the weaker stock does not receive 0. Instead, both stocks receive proportional scores based on how close their values are.
This makes the dashboard more realistic and useful for financial analysis.
5. Relative Strength Score
The Relative Strength Score compares the market performance of both stocks using:
* 3-month price performance
* 6-month price performance
* 12-month price performance
* Position within the 52-week range
* Distance from the 200-day moving average
This helps identify which stock has stronger market momentum.
6. Better / Weaker Value Highlighting
Better and weaker values are highlighted using text color instead of heavy background coloring. This keeps the table cleaner and easier to read.
7. Light and Dark Table Themes
The dashboard includes both light and dark table themes, making it suitable for different TradingView chart layouts.
8. Customizable Rows
Each category allows the user to choose which metrics to display. Unwanted rows can be set to “None” to keep the dashboard clean.
How to Use
1. Select Stock 1 and Stock 2 from the indicator settings.
2. Choose the financial period: Quarter or Year.
3. Select the metrics you want to compare in each category.
4. Choose Light or Dark table theme.
5. Read the raw values and comparison scores to identify the stronger stock.
Interpretation
A higher score means the stock is stronger in that specific category.
Example:
* Higher Growth Score = stronger growth profile
* Higher Profitability Score = better profitability
* Higher Valuation Score = more attractive valuation
* Higher Financial Strength Score = stronger balance sheet
* Higher Relative Strength Score = stronger market momentum
Important Notes
This indicator uses TradingView financial data. Some financial fields may be unavailable for certain stocks, exchanges, or periods. If a metric is unavailable, the table may show a dash.
TradingView also has request limits, so the dashboard is designed to keep the number of active financial rows under control.
This indicator is intended for research, comparison, and educational analysis only. It is not financial advice. Always combine fundamental analysis with your own research, risk management, and market context.
Penunjuk

Gold Macro Bias TableGold Macro Bias Table
Gold Macro Bias Table is designed to provide a fast, structured and multi-dimensional overview of the current gold market environment. The main goal is to help traders quickly assess how different macroeconomic, intermarket, risk, volatility, volume and technical factors are currently aligned.
Gold is influenced by many different drivers. Real yields, the US dollar, Treasury yields, bond-market behavior, foreign exchange dynamics, silver, gold miners, credit markets, volatility and technical momentum can all affect price behavior. Instead of analyzing every related market separately, this indicator brings the most relevant inputs together in one compact dashboard.
The indicator is not intended to predict future price movement. It is a decision-support tool that helps traders understand whether the current market background is more supportive, neutral or opposing for gold.
Data Sources and Market Inputs
The script uses TradingView market data based on the symbols selected in the settings. The default symbols can be adjusted by the user.
Real Yield:
The real yield input is used to represent inflation-adjusted interest-rate pressure. Rising real yields are generally negative for gold because they increase the opportunity cost of holding a non-yielding asset. Falling real yields are generally supportive for gold.
DXY:
The US Dollar Index is used as a broad measure of US dollar strength. A stronger dollar is usually a headwind for gold, while a weaker dollar can support gold prices.
US10Y and US02Y:
US Treasury yields are used to measure interest-rate pressure across different parts of the yield curve. Rising yields can pressure gold, while falling yields can support gold, especially when combined with a weaker US dollar.
TLT:
TLT is used as a proxy for long-duration US Treasury bonds. Strength in TLT often reflects falling long-term yields, which can be supportive for gold.
USDJPY:
USDJPY is included as a rate-sensitive and dollar-sensitive FX input. A rising USDJPY can often reflect stronger US rate pressure or broader US dollar strength, which may be negative for gold.
Silver:
Silver is used as a precious-metals confirmation factor. Strength in silver can confirm broader demand for precious metals, while weakness may indicate a lack of confirmation.
GDX:
GDX represents gold miners. Miner strength can confirm institutional appetite for the gold sector, while miner weakness can warn that gold strength is not broadly supported.
VIX:
The VIX is used as a volatility and risk-sentiment input. Higher volatility can increase safe-haven demand, but very elevated volatility also means higher trading risk.
HYG:
HYG is used as a credit-risk proxy. Strength in high-yield credit usually points to more risk-on conditions, while weakness can indicate stress in credit markets.
Scoring and Weighting
The table compares each selected input with its moving average and assigns a score depending on whether the current condition is considered supportive or opposing for gold.
The score values and weightings are fully adjustable in the settings. This allows each trader to adapt the model according to personal experience, trading style and individual interpretation of how important each factor is for the current market environment.
The total score is displayed as the Macro Gold Bias.
Volatility
The volatility section compares the current ATR percentage with its own average. This helps identify whether the market is currently calm, normal, elevated or extreme. The volatility reading is used as additional context, especially when market conditions become unstable or risk expands quickly.
Volume and Delta
The volume section provides a quick overview of session volume, estimated session ask volume, estimated session bid volume and estimated session delta.
The intraday delta values for 1m, 5m, 15m and 1h are calculated from the available TradingView chart data. These values are not true exchange bid/ask volume and should not be interpreted as real order-book flow.
They are tick-volume-based approximations designed to give the trader a practical feeling for current market behavior, volume pressure and whether recent activity appears more buy-side or sell-side dominated.
Average Volume and Delta
The average row compares the current session and intraday delta behavior with configurable lookback periods. The session average volume lookback and the delta lookbacks for 1m, 5m, 15m and 1h can be adjusted in the settings.
This helps put current activity into context instead of relying on isolated volume or delta values.
Technical Gold Bias
The technical section uses TradingView’s built-in Technical Ratings, often known from the TradingView Technical Rating gauge. It combines information from multiple moving averages and oscillators into a normalized technical reading.
This separates the technical condition of gold from the broader macro and intermarket environment.
Market Regime
The market regime section classifies the current environment into broader categories such as:
Safe Haven
Yield Pressure
Dollar Pressure
Inflation Hedge
Yield Relief
Mixed
This gives additional context behind the raw score and helps explain why the current environment may be supportive, opposing or mixed for gold.
Final Gold Bias
The final bias combines the macro score, technical rating, market regime and volatility context into one final interpretation. It is designed to provide a fast overview of whether current conditions are bullish, bearish, mixed or high risk.
Trend Strength
The trend strength score ranges from -10 to +10. It combines macro direction, technical direction and market regime support into a simple strength reading.
A positive value indicates a more supportive environment for gold, while a negative value indicates a more opposing environment.
Price Movement Alerts
The indicator includes configurable price movement alerts for gold and the selected macro symbols.
The purpose of these alerts is not to generate buy or sell signals. They are designed as warning signals when one or more monitored symbols exceed the user-defined percentage threshold.
This can be useful because related markets do not always react at the same speed. Some symbols may move earlier and provide a warning that the market environment is changing, while others may react later. These alerts can help traders recognize fast market movement, unstable conditions or situations where it may be necessary to reduce exposure or step out of the market.
TradingView alerts can be configured through the normal TradingView alert menu. Depending on the user’s TradingView settings, notifications can be sent by app, pop-up, email, webhook or other available alert actions.
Important Note
This indicator is not a standalone trading system and does not provide financial advice. It should be used together with price action, market structure, risk management and personal trade planning.
All readings depend on the selected symbols, the active data feed, the chosen timeframes and the user-defined settings.
Penunjuk
