V-Max Tactical Clock & Price make Crypto Price bigger📘 Tactical Clock & Price 14.1 — 功能介紹 / Features
這是一個輔助看盤的小工具,主要解決 TradingView 原生加密貨幣價格字體較小 以及時間顯示不直覺的問題。 This is a supplementary monitoring tool designed to address TradingView’s small native cryptocurrency price fonts and non-intuitive time displays。
動態變色價格 / Dynamic Price Coloring:
價格文字會隨當前 K 線漲跌變色(漲綠跌紅),方便觀察即時強弱。
Price text changes color based on the current candle's movement (green for up, red for down) for instant momentum tracking。
大字體設計 / Large Font Design:
採用較大的字體規格與等寬字體,確保在解析度較高或視距較遠時仍能清晰辨識價格。
Utilizes larger font scales and monospace typography to ensure price clarity on high-resolution displays or from a distance。
全球時區定義 / Global Timezone Definition:
內建時區偏移(GMT Offset)設定,使用者可根據所在城市手動調整,確保顯示時間與本地同步。
Includes a built-in GMT Offset setting, allowing users to manually adjust the time to sync with their local city。
視覺自定義 / Visual Customization:
支援自定義背景、文字與邊框顏色,可隨個人習慣調整透明度。
Supports custom background, text, and border colors with adjustable transparency to suit individual preferences。
🛡️ 支持開發 / Support Development
若工具對您有幫助,歡迎支持團隊以釋出更多公益模組。詳細支持資訊請參閱 我的個人簡介或置頂留言。 If this tool helps you, feel free to support the team to help release more public-benefit modules. For support details, please check my profile or pinned comments。
指標和策略
NBS.v4This indicator is designed to help visualize market behavior using price action concepts.
It highlights potential areas of interest based on internal calculations and is intended to be used as a supporting tool, not as a standalone trading system.
Best used on lower timeframes with proper risk management.
This script does not provide financial advice and should be used for educational purposes only.
MACDTraditional MACD
Used in Kinetic Momentum Theory
The histogram is 2 times higher than the Tradingview default MACD
Swing Traders Panel: Beta RVOL ATR Market Sector FnG ImtiazHA compact decision-support panel for swing traders combining volatility, relative volume, market & sector regime, and a 3-zone Fear/Greed filter to improve trade context and risk management.
Formal: All deviations from the collection DIY.
所有背离集合diy
Formal: All deviations from the collection DIY.
Master Forex Dashboard: Sessions, Volume & MTF Trend//@version=5
indicator("Master Forex Dashboard: Sessions, Volume & MTF Trend", overlay=true, max_boxes_count=500)
// ==========================================
// 1. SESSIONS LOGIC
// ==========================================
showAsia = input.bool(true, "Show Asia Session", group="Forex Sessions")
asiaTime = input.session("0000-0900", "Asia Session Time", group="Forex Sessions")
asiaColor = input.color(color.new(color.blue, 90), "Asia Color", group="Forex Sessions")
showLondon = input.bool(true, "Show London Session", group="Forex Sessions")
londonTime = input.session("0800-1700", "London Session Time", group="Forex Sessions")
londonColor= input.color(color.new(color.orange, 90), "London Color", group="Forex Sessions")
showNY = input.bool(true, "Show NY Session", group="Forex Sessions")
nyTime = input.session("1300-2200", "NY Session Time", group="Forex Sessions")
nyColor = input.color(color.new(color.red, 90), "NY Color", group="Forex Sessions")
is_session(sess) => not na(time(timeframe.period, sess, "UTC+0"))
bgcolor(showAsia and is_session(asiaTime) ? asiaColor : na)
bgcolor(showLondon and is_session(londonTime) ? londonColor : na)
bgcolor(showNY and is_session(nyTime) ? nyColor : na)
// ==========================================
// 2. VOLUME LOGIC
// ==========================================
volLen = input.int(20, "Volume MA Length", group="Volume Logic")
highMult = input.float(1.5, "High Vol Multiplier", group="Volume Logic")
lowMult = input.float(0.5, "Low Vol Multiplier", group="Volume Logic")
volMA = ta.sma(volume, volLen)
isHighVol = volume > (volMA * highMult)
isLowVol = volume < (volMA * lowMult)
barcolor(isHighVol ? color.yellow : isLowVol ? color.gray : na)
// ==========================================
// 3. MTF TREND DASHBOARD (FIXED)
// ==========================================
emaLen = input.int(200, "Trend EMA Length", group="Dashboard")
textSize = input.string("small", "Table Text Size", options= , group="Dashboard")
// Function defined at GLOBAL scope to avoid your error
f_fill_row(table_id, row, label, trendVal, tSize) =>
bgColor = trendVal == 1 ? color.new(color.green, 30) : color.new(color.red, 30)
txt = trendVal == 1 ? "BULLISH" : "BEARISH"
table.cell(table_id, 0, row, label, text_color=color.white, text_size=tSize)
table.cell(table_id, 1, row, txt, bgcolor=bgColor, text_color=color.white, text_size=tSize)
get_trend(tf) =>
htfEMA = request.security(syminfo.tickerid, tf, ta.ema(close, emaLen))
htfClose = request.security(syminfo.tickerid, tf, close)
htfClose > htfEMA ? 1 : -1
// Fetch Data
t15 = get_trend("15"), t1h = get_trend("60"), t4h = get_trend("240"), t1d = get_trend("1D")
// Table UI
var table trendTable = table.new(position.top_right, 2, 5, border_width = 1)
if barstate.islast
table.cell(trendTable, 0, 0, "TF", bgcolor=color.gray, text_color=color.white, text_size=textSize)
table.cell(trendTable, 1, 0, "Trend", bgcolor=color.gray, text_color=color.white, text_size=textSize)
f_fill_row(trendTable, 1, "15m", t15, textSize)
f_fill_row(trendTable, 2, "1H", t1h, textSize)
f_fill_row(trendTable, 3, "4H", t4h, textSize)
f_fill_row(trendTable, 4, "1D", t1d, textSize)
phoenix liquidity candle Ema V.1.1This indicator is designed to identify session-based range boxes across different trading sessions, helping traders clearly visualize market structure and consolidation zones during active market hours.
The script automatically detects price ranges within each session, allowing traders to understand where liquidity is building and where potential breakouts or rejections may occur.
Additionally, the indicator includes EMA 9 and EMA 11, providing short-term trend guidance and momentum confirmation when price interacts with session ranges.
Key Features:
• Automatic Session Range Box detection
• Clear visualization of session highs and lows
• Integrated EMA 9 & EMA 11
• Useful for scalping, intraday, and session-based strategies
• Designed for clean charts and decision support (not signal-based)
This tool is intended to assist traders in understanding market behavior during sessions, not to provide buy or sell signals.
Ichimoku MTF Heatmap W/ adj alert placement W and D cloud ALERTShows green FLAG 50 bars back when Daily and Weekly Cloud metrics are ACTIVE.
Clock&Flow: Elements of Cycle Analysis 2nd partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite
Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework.
The suite consists of two complementary modules:
🔹ECA 1 – Cycles, Structure, and Volatility (Overlay: True)
ECA 1 is dedicated to the structural and temporal analysis of the market.
Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to:
Index: Standard quotes (e.g., Cash sessions).
Future: Extended quotes (24h).
50-200: Classic institutional references for the medium-long term.
ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions.
Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context.
Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions.
🔹 ECA 2 – Market Excesses, Strength, and Energy
ECA 2 analyzes how the market moves within the cyclic structure.
Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle.
Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed.
Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors:
Price Velocity
Normalized Volume
Volatility (ATR relative to price)
These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement.
Operational Convergence
The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase.
When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation.
Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction.
Entries should always be accompanied by proper risk management.
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Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa
Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo.
La suite è composta da due moduli complementari:
🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true)
ECA 1 è dedicato all’analisi strutturale e temporale del mercato.
SMA cicliche (ratio ciclica)
Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori).
Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo
Canali ciclici dinamici basati su ATR
I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR).
La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni.
Info Table e Quick Guide
Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso.
Time Bands (Weekly / Daily)
La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo.
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🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato
ECA 2 analizza come il mercato si muove all’interno della struttura ciclica.
Eccessi e divergenze (Stochastic ciclico)
Oscillatore calibrato sulla stessa ratio ciclica della suite.
Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo.
Directional Movement System (DMS)
L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione.
L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa.
Market Pulse – Energia reale del mercato
Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione:
velocità del prezzo
volume normalizzato
volatilità (ATR rapportato al prezzo)
I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce.
La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista.
Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento.
La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato.
Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa.
È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato.
I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni.
In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione.
Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
XAU Seasonality + Setup Quality + Month Strength | WarRoomXYZXAU Seasonality Engine is a technical analysis indicator developed for the study of recurring, calendar-based behavior on XAUUSD (Gold).
The tool blends month-of-year seasonality statistics with higher-timeframe context and a setup-quality gate to help users observe when market conditions historically lean strong, weak, or neutral — and how strict trade selection should be during each regime.
Indicator Concept
An indicator for XAUUSD that combines:
1. Seasonality Regime (Month-of-Year Bias)
► Classifies the current month as Strong / Weak / Neutral based on either:
• Preset months (user-defined)
or
• Auto mode (computed from historical monthly performance)
► Strong months suggest a bullish tailwind (not a signal).
► Weak months suggest headwind / caution and require stricter setup quality.
2. Monthly Performance Engine (Under the Hood)
► Uses the symbol’s monthly timeframe data to compute, per calendar month:
• Average monthly return (%)
• Win rate (%) — how often that month closes positive
• Month Strength Score (0–100) — a blended score derived from performance data
► The score is designed to provide a relative strength snapshot of seasonality by month.
3. Month Strength Histogram
► Plots a histogram (0–100) of the current month’s strength score.
• Higher bars = historically stronger month tendency
• Lower bars = historically weaker month tendency
► Optional horizontal reference lines mark “strong” and “weak” zones to make regimes obvious at a glance.
4. Setup Quality Meter (Confluence Filter)
► The indicator calculates a Setup Quality Score (0–100) using market structure and momentum components, such as:
• EMA trend alignment
• Momentum confirmation (EMA fast vs slow)
• Structure break confirmation (BOS)
• Liquidity sweep behavior
• Candle confirmation logic
► This score is intended as a trade-selectivity filter , not a trade executor.
5. Adaptive Rules for Weak Months (Strict Mode)
► When the indicator detects a weak seasonal regime, conditions automatically tighten:
• The A+ threshold increases (adaptive thresholding)
• Optional rule: Weak months require BOS + Sweep + FVG simultaneously before any A+ condition is considered valid
This forces the user into “higher-quality-only” behavior during historically weaker seasonal periods.
🔹1 Visual Components Included
• Seasonality regime label (Strong / Weak / Neutral)
• Optional background shading based on regime
• Month Strength Score histogram (0–100)
• Current month stats: Avg return + win rate
• Setup Quality Meter value (0–100)
• Adaptive A+ threshold display
• Weak-month confluence gate status (BOS / Sweep / FVG pass/fail)
• Optional alerts when strict criteria are met
➣What Means in the XAU Indicator
🔹 Definition (in THIS indicator)
Win Rate = the percentage of historical months that closed positive for the same calendar month.
It is NOT:
trade win rate ❌
signal accuracy ❌
It is a s tatistical seasonality metric .
How It’s Calculated
For each calendar month (January, February, etc.), the indicator:
1.Looks at historical monthly candles (Monthly timeframe).
2. Counts how many times that month:
•Closed higher than it opened (or higher than previous month close).
3. Divides:
Number of positive months
÷
Total number of observed months
× 100
Example: September
If over the last 20 years:
September closed green 14 times
September closed red 6 times
Then:
Win Rate = (14 / 20) × 100 = 70%
That’s what you see as in the dashboard.
What the Win Rate Is Used For
1️⃣ Part of the Month Strength Score
The indicator blends:
•Average Monthly Return (%) → measures magnitude
•Win Rate (%) → measures consistency
Combined into:
Month Strength Score (0–100)
This avoids a common trap:
•A month with 1 huge rally but many losses ≠ reliable
•A month with steady positive closes = higher quality environment
What Win Rate Tells You
High Win Rate (e.g. 65–75%)
•Gold more often closes higher in this month
•Continuation is statistically more likely
•Pullbacks are more likely to resolve in trend direction
Low Win Rate (e.g. 35–45%)
•Gold more often fails to close higher
•More chop, deeper retracements, false breakouts
•Continuation trades statistically struggle
What It Does NOT Tell You
🚫 It does NOT mean:
•“You will win 70% of your trades”
•“Every setup in this month works”
•“Direction is guaranteed”
Seasonality is context, not prediction.
Why This Is Powerful When Combined With Your System
On its own, win rate is just data.
But in your indicator, it’s used to:
•🔒 Raise the A+ threshold in weak months
•🧠 Force BOS + Sweep + FVG confluence
•❌ Block marginal setups automatically
So instead of guessing:
-“Why is gold so choppy this month?”
You know:
-“This month historically underperforms SO I must be stricter.”
➣What Means in the XAU Seasonality Indicator
🔹 Definition (in THIS indicator)
Avg Monthly Return = the average percentage gain or loss of XAUUSD for a specific calendar month, calculated across many years.
It measures magnitude , not frequency.
It is NOT:
•trade profit ❌
•expected return for the next month ❌
•guaranteed performance ❌
It is a historical seasonality tendency.
How It’s Calculated
For each calendar month (January, February, etc.), the indicator:
1.Takes every historical occurrence of that month.
2.Calculates the percentage change of the monthly candle:
(Monthly Close − Previous Monthly Close)
÷ Previous Monthly Close × 100
3. Adds all those percentage changes together.
4. Divides by the total number of observations.
Example: September
Assume over 20 years:
+2.4%, +1.1%, −0.6%, +3.0%, +1.8%, ...
If the sum of all September returns = +28% across 20 years:
Avg Monthly Return = +1.40%
That’s the number displayed in the indicator.
What Avg Monthly Return Is Used For
1️⃣ Measuring Strength of Movement
•Win Rate → “How often does it close green?”
•Avg Monthly Return → “How big are the moves when it works?”
Both are needed.
A month can:
•Win often but move very little
•Move a lot but only occasionally
The indicator combines both to avoid misleading conclusions.
How to Interpret Avg Monthly Return
Positive Avg Return (e.g. +0.8% to +2.0%)
•Gold tends to expand during this month
•Continuation phases are more likely
•Pullbacks are often absorbed
Near-Zero Avg Return (e.g. −0.2% to +0.2%)
•Market is statistically balanced
•Expect chop, rotations, false breaks
•Continuation is less reliable
Negative Avg Return (e.g. −0.5% or worse)
•Downward pressure or heavy mean reversion
•Rallies often fade
•Risk of aggressive stop hunts
What Avg Monthly Return Does NOT Mean
🚫 It does NOT mean:
•“Price will move +1.4% this month”
•“You should buy because the number is positive”
•“This is a guaranteed edge”
It describes historical behavior, not future certainty.
Why Avg Monthly Return Matters More Than People Think
Two months can have the same win rate but behave very differently:
Example:
Month Win Rate Avg Return Reality
Month A 65% +0.2% Small, choppy wins
Month B 55% +1.6% Fewer wins, but strong expansions
Your indicator would rank Month B as stronger, which is correct for continuation-based strategies.
How It Feeds the Month Strength Score
The indicator blends:
•60% Avg Monthly Return (normalized)
•40% Win Rate
This means:
•Big moves matter more than small consistency
•But consistency still matters enough to prevent distortion
Result:
Month Strength Score (0–100)
Which is then used to:
•tighten or relax A+ thresholds
•activate weak-month strict rules
•control trade frequency
🔹2. Intended Use
The indicator is designed as a discretionary analysis tool to support study of:
• seasonal bias and calendar tendencies
• relative strength/weakness across months
• how strict trade selection should be across different regimes
• confluence behavior when seasonal conditions are unfavorable
The tool does not generate forecasts, does not guarantee outcomes, and should not be relied upon as a stand-alone decision mechanism.
🔹3.How to Use XAU Seasonality Engine
Recommended charts: XAUUSD, intraday (5m–15m) with a HTF context (1H–4H).
1. Identify the Seasonal Regime
• Strong month → you can allow more continuation bias (still require structure).
• Neutral month → trade normally, standard criteria.
• Weak month → tighten selection, demand clean A+ conditions only.
2. Read the Month Strength Histogram
• If the score is high (e.g., 70+), the month has historically shown stronger tendency.
• If the score is low (e.g., 40 and below), expect slower conditions, deeper pullbacks, or more chop — and reduce marginal trades.
3. Use the Setup Quality Meter as the Gate
► In normal/strong months:
• A+ threshold is moderate (e.g., 70)
► In weak months:
• A+ threshold is higher (e.g., 80+)
• Optional strict mode: must also pass BOS + Sweep + FVG alignment
4. Example Trade Logic (Framework, Not Signals)
► Bullish framework in a Strong Month:
• Seasonal regime = Strong (tailwind)
• Structure supports bullish continuation (trend alignment)
• Sweep occurs into demand / liquidity grab
• Setup Quality reaches A+ threshold
• Entry: confirmation candle or retrace to key level
• SL: beyond sweep low / invalidation
• TP: nearest liquidity / prior highs / HTF level
► Weak Month rule-set (Strict Mode):
• Seasonal regime = Weak (headwind)
• Only consider trades if:
✅ BOS confirms direction
✅ Sweep occurs and rejects cleanly
✅ FVG exists recently (or is mitigated if you choose that model)
✅ Setup Quality exceeds the elevated adaptive threshold
If any one is missing → no trade
This is not meant to “predict” gold — it’s meant to enforce discipline when seasonality historically underperforms.
🔹4.Limitations and User Responsibility
► The indicator does not represent financial advice or imply performance expectations.
► Seasonality is statistical tendency, not certainty — macro conditions can override it.
► Results vary by broker feed, timeframe, and settings.
► Users should test thoroughly in simulation before applying to live markets.
► All trading decisions, risk management, and execution remain solely the responsibility of the user.
🔹5. Alerts
Optional alerts can notify when:
• a new month begins and the seasonal regime changes
• A+ criteria are met
• weak-month strict conditions pass (BOS + Sweep + FVG)
Alerts are informational only and do not constitute actionable recommendations.
Disclaimer
This script is provided for informational and educational purposes only . It does not provide financial, investment, or trading advice, and it does not guarantee profits or future performance. All decisions made based on this script are solely the responsibility of the user.
This script does not execute trades, manage risk, or replace the need for trader discretion. Market behavior can change quickly, and past behavior detected by the script does not ensure similar future outcomes.
Users should test the script on demo or simulation environments before applying it to live markets and must maintain full responsibility for their own risk management, position sizing, and trade execution.
Trading involves risk, and losses can exceed deposits. By using this script, you acknowledge that you understand and accept all associated risks.
Clock&Flow: Elements of Cycle Analysis 1st partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite
Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework.
The suite consists of two complementary modules:
🔹 ECA 1 – Cycles, Structure, and Volatility (Overlay: True)
ECA 1 is dedicated to the structural and temporal analysis of the market.
Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to:
Index: Standard quotes (e.g., Cash sessions).
Future: Extended quotes (24h).
50-200: Classic institutional references for the medium-long term.
ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions.
Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context.
Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions.
🔹 ECA 2 – Market Excesses, Strength, and Energy
ECA 2 analyzes how the market moves within the cyclic structure.
Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle.
Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed.
Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors:
Price Velocity
Normalized Volume
Volatility (ATR relative to price)
These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement.
Operational Convergence
The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase.
When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation.
Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction.
Entries should always be accompanied by proper risk management.
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Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa
Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo.
La suite è composta da due moduli complementari:
🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true)
ECA 1 è dedicato all’analisi strutturale e temporale del mercato.
SMA cicliche (ratio ciclica)
Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori).
Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo
Canali ciclici dinamici basati su ATR
I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR).
La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni.
Info Table e Quick Guide
Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso.
Time Bands (Weekly / Daily)
La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo.
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🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato
ECA 2 analizza come il mercato si muove all’interno della struttura ciclica.
Eccessi e divergenze (Stochastic ciclico)
Oscillatore calibrato sulla stessa ratio ciclica della suite.
Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo.
Directional Movement System (DMS)
L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione.
L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa.
Market Pulse – Energia reale del mercato
Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione:
velocità del prezzo
volume normalizzato
volatilità (ATR rapportato al prezzo)
I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce.
La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista.
Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento.
La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato.
Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa.
È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato.
I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni.
In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione.
Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
Mizan v7.8-S: Pure PSI ObserverDescription:
1. General Overview The Mizan v7.8-S is a specialized high-precision market observer designed to quantify the "Ontological Stability" of financial assets. Unlike traditional indicators that rely solely on price action, this tool projects market data onto a proprietary "PSI Scale" to measure the potential energy and structural integrity of a trend. It operates on the "Pure Justice" (Mizan) theoretical framework, distinguishing between constructive stability and chaotic degradation.
2. Key Features
Proprietary PSI Scoring: A unique algorithm that converts market momentum into a standardized stability score (0 - 310,000 Scale).
Stability Protocol Visualization: Automatically colors the trend line to indicate the current state of the asset (Green for Stable/Constructive, Red for Unstable/Chaotic).
Cyclic Time Markers: Includes deterministic time-cycle markers ("Pulse" and "Reset" points) to identify theoretical inflection points in the market rhythm.
Axiom Floor & Peak: Visual references for the theoretical limits of the analyzed asset.
3. How to Use
Trend Analysis: Observe the color of the PSI line. A transition from Red to Green indicates that the asset has crossed the critical threshold and entered a stable trend structure.
Cycle Timing: Use the geometric markers (Diamonds and Circles) to anticipate potential shifts in market rhythm or exhaustion points based on the Mizan temporal constants.
Risk Assessment: The distance of the PSI score from the "Axiom Peak" or "Axiom Floor" provides a perspective on the asset's current potential relative to its theoretical limits.
4. Invite-Only Access This script is a closed-source implementation of a proprietary algorithmic kernel ("Mizan Universal Kernel"). It contains protected logic and experimental constants derived from private research.
Access: Access to this indicator is restricted. To request access or learn more about the methodology, please contact me via private message on TradingView.
Note: This tool is intended for advanced cycle analysis and experimental observation.
rosh Swift ALGO-X based on ema for xauusd scalping use with original settings, assured 100 pips per day
Forex Sessions + High/Low Volume Indicator//@version=5
indicator("Forex Sessions + High/Low Volume Indicator", overlay=true, max_boxes_count=500)
// --- Inputs: Sessions ---
showAsia = input.bool(true, "Show Asia Session", group="Forex Sessions")
asiaTime = input.session("0000-0900", "Asia Session Time", group="Forex Sessions")
asiaColor = input.color(color.new(color.blue, 90), "Asia Color", group="Forex Sessions")
showLondon = input.bool(true, "Show London Session", group="Forex Sessions")
londonTime = input.session("0800-1700", "London Session Time", group="Forex Sessions")
londonColor= input.color(color.new(color.orange, 90), "London Color", group="Forex Sessions")
showNY = input.bool(true, "Show NY Session", group="Forex Sessions")
nyTime = input.session("1300-2200", "NY Session Time", group="Forex Sessions")
nyColor = input.color(color.new(color.red, 90), "NY Color", group="Forex Sessions")
// --- Inputs: Volume ---
volLen = input.int(20, "Volume MA Length", minval=1, group="Volume Logic")
highMult = input.float(1.5, "High Volume Threshold (x MA)", minval=1.0, group="Volume Logic")
lowMult = input.float(0.5, "Low Volume Threshold (x MA)", maxval=1.0, group="Volume Logic")
// --- Session Logic ---
is_session(sess) =>
not na(time(timeframe.period, sess, "UTC+0")) // Adjust "UTC+0" to your broker's timezone if needed
inAsia = showAsia and is_session(asiaTime)
inLondon = showLondon and is_session(londonTime)
inNY = showNY and is_session(nyTime)
// Plot Backgrounds
bgcolor(inAsia ? asiaColor : na)
bgcolor(inLondon ? londonColor : na)
bgcolor(inNY ? nyColor : na)
// --- Volume Logic ---
volMA = ta.sma(volume, volLen)
isHighVol = volume > (volMA * highMult)
isLowVol = volume < (volMA * lowMult)
// Highlight Candles based on Volume
barcolor(isHighVol ? color.yellow : isLowVol ? color.gray : na)
// --- Labels (Optional) ---
if isHighVol
label.new(bar_index, high, "HV", color=color.yellow, textcolor=color.black, style=label.style_label_down, size=size.tiny)
if isLowVol
label.new(bar_index, low, "LV", color=color.gray, textcolor=color.white, style=label.style_label_up, size=size.tiny)
// Plot Volume MA for reference (optional, shown in separate pane if not overlay)
// plot(volMA, "Volume MA", color=color.white)
ELDorado_Algo_Commodity_Indicator_V3.3Please read carefully before using this indicator:
This indicator is invite-only and intended strictly for authorized users.
Do NOT share, resell, or redistribute access to this indicator in any form.
Indicator logic and parameters are proprietary and intentionally hidden.
Any screenshots, recordings, or public sharing of this indicator without permission is strictly prohibited.
Usage Guidelines
Use this indicator only on the recommended timeframe and instrument.
This tool is designed to assist decision-making, not to replace discipline or risk management.
Always trade with proper position sizing and defined risk.
The author is not responsible for any financial losses incurred while using this indicator.
Access & Support
Access is provided manually by the author and may be revoked at any time without prior notice.
For access issues or support, please contact the author directly.
By using this indicator, you agree to all the above terms.
— ELDorado
The5ereThis strategy is based on price action and candlestick patterns to identify high-probability trade entries without lagging indicators.
[iQ]PRO Quantum MMXM Matrix Oscillator+++1. PRO Quantum MMXM Probability Matrix+++
2. Summary
This advanced market analysis engine combines fractal geometry with institutional liquidity models to decode complex market structure in real-time. Designed for precision traders, it utilizes a probabilistic state machine to forecast market regimes, distinguishing between accumulation, manipulation, and genuine trend expansion.
3. How It Works
The script operates on a "Theoretical Physics" approach to market data, treating price action as a dynamic system shifting between various energy states.
Probabilistic Regime Detection: Instead of relying solely on lagging price crosses, the core engine utilizes a Markov Chain model. This analyzes the probability of the market transitioning from one state (e.g., Consolidation) to another (e.g., Expansion) based on historical sequence learning.
Fractal Momentum weighting: The oscillator employs a "Quantum" momentum calculation. It weights price velocity against the market's "roughness" (using Hurst Exponent logic). This filters out low-quality volatility, ensuring that only statistically significant moves drive the signal.
Institutional Liquidity (MMXM) Curve: This component calculates the density of buying versus selling pressure relative to a dynamic equilibrium. It aims to identify "Manipulation" zones where price is artificially extended away from fair value to engineer liquidity.
Entropy & Confidence: The system measures the "disorder" of the current trend. Low entropy indicates a high-confidence, organized trend, while high entropy warns of chaotic, low-probability conditions.
4. Key Features
8-State Market Classification: Automatically detects phases including Consolidation, Manipulation, Expansion, and Distribution.
MMXM Liquidity Curve: Visualizes potential "Smart Money" reversal points and liquidity runs.
Multi-Timeframe Alignment: An on-chart dashboard displaying structural alignment across Daily, 4-Hour, and current timeframes.
Probability Density Field: Dynamic background coloring that intensifies based on the statistical confidence of the current directional bias.
Live Probability Heatmap: A real-time data table showing the percentage likelihood of the next market state.
5. How to Use
Step 1: Assess Directional Bias Check the "Probability Field" background color and the Quantum Metrics panel. A bright Green background indicates high-confidence bullish probability; Red indicates bearish.
Step 2: Confirm Structure (MTF) Consult the top-left Alignment Table. Ideal high-probability entries occur when the "HTF" (Higher Timeframe) and "MTF" (Medium Timeframe) states align in color/direction.
Step 3: Identify the Setup
Reversals: Look for the Oscillator or Price to hit the Deviation Targets (dotted lines). These represent statistically overextended zones (Fractal Deviation).
Trend Continuation: Wait for the "State" to switch from "Manipulation" to "Expansion" while the MMXM Curve crosses the equilibrium (zero) line.
Step 4: Risk Management Use the "Confidence" metric in the bottom panel. If Confidence drops below 50%, reduce position sizing or tighten stops, as the market is entering a chaotic state.
6. Settings & Configuration
Quantum Field Config: Customizes the specific timeframes used for the Multi-Timeframe alignment (HTF1, HTF2, MTF).
Fractal Parameters: Adjust the Hurst Exponent and Fractal Dimension to tune how the script filters noise versus trend.
MMXM Settings: Toggle the sensitivity of the liquidity curve and choose the equilibrium reference (VWAP, EMA, or Session Open).
Visualization: Individual toggles to show/hide the Oscillator, Probability Field, Heatmaps, and Deviation lines to keep your chart clean.
Access & Proprietary Terms
This is a Closed-Source, Invite-Only proprietary tool. The underlying algorithms are obfuscated to protect the integrity of the PRO methodology and its private user base.
Computational Optimization: Engineered for high-frequency data processing with minimal terminal lag.
Membership: Access is strictly reserved for private members.
Disclaimer: Trading involves significant risk. The PRO Matrix is an advanced analytical tool and does not guarantee profits. Past performance within the probability engine is not necessarily indicative of future results.
Ichimoku + Time Theory Cluster PRO++ (ZZZ)## Ichimoku + Time Theory Cluster PRO++ (ZZZ)
### 1) What does this script do?
**Ichi+Time PRO++** combines **Ichimoku + Ichimoku Time Theory (Hosoda’s time cycles)** to:
- Automatically plot **Ichimoku (Tenkan/Kijun/Chikou/Kumo)** as a **trend filter & support/resistance framework**.
- Calculate **projected time targets** derived from **pivots (swing highs/lows)**, then **cluster** nearby targets into **“time windows”** where the probability of **reversal / acceleration / strong volatility** is higher than usual.
- Show **early warnings (countdown “~in N bars”)** and classify clusters as **Normal / Strong** using a **score**.
> Core idea: **Price can travel far/short based on “price”, but it often turns hard around certain “time” marks.** Ichimoku helps define *direction and key areas*, while Time Clusters tell you *when to be on alert*.
---
### 2) How it works (simple overview)
1. **Detect pivots** (swing highs/lows) using Pivot Left/Right
- A pivot is confirmed only after *pivRight* bars → less noise.
2. From each pivot, the script generates **projected time targets** based on Time Theory cycle offsets (bar intervals).
3. Nearby projections are **grouped into clusters** using **“Tolerance ± bars”**.
4. A cluster is kept only if it meets:
- **Min hits**: minimum number of projections inside the same window
- **Min score**: minimum score threshold
Score = **baseScore (weighted hits)** + **contextBonus (Ichimoku context)**
→ Clusters aligned with favorable Ichimoku conditions are **prioritized**.
---
### 3) What you will see on the chart
- **Ichimoku**: Tenkan / Kijun / Chikou / Kumo (to read trend & key zones).
- **Time Cluster Window**:
- **Normal**: meets baseline conditions.
- **Strong (TC++)**: higher score (≥ strongScore) → more important.
- **Tooltips / info labels** (e.g., hits, base, ctx, score, ~in N bars) show:
- How strong a cluster is
- How many bars remain until the “time window”
---
### 4) Practical usage (recommended workflow)
**Step 1 — Filter the trend with Ichimoku**
- Prefer Long when: price is **above Kumo**, Tenkan > Kijun, Chikou is not obstructed.
- Prefer Short when: price is **below Kumo**, Tenkan < Kijun, Chikou is not obstructed.
**Step 2 — Use Time Clusters to pick the “WHEN”**
- When a **Time Cluster (Normal/Strong)** appears, interpret it as:
- A **“sensitive time window”** → higher chance of reversal, breakout, acceleration, or sharp shakeout.
- Not an automatic entry; you still need **price action confirmation**.
**Step 3 — Entry trigger**
- Wait for confirmation such as: structure break, pin/engulf candle, range breakout, Kijun/Kumo retest, etc.
- **Strong clusters** are often useful to:
- Hunt reversals around Ichimoku zones (Kijun/Kumo)
- Hunt breakouts when consolidating and Ichimoku agrees with the trend
**Step 4 — Risk management**
- Place SL using the nearest structure (swing/pivot/Kijun) + buffer.
- If already in a trade, Time Clusters can help you:
- tighten SL, take partial profits, or anticipate volatility.
---
### 5) Presets (A/B) & signal tuning
- **Mode A: “Fewer but stronger”**
Stricter filtering → fewer clusters, higher quality (swing/position-friendly).
- **Mode B: “More early warnings”**
Moderate filtering → more clusters (good for earlier monitoring and flexibility).
- **Custom**
Manually adjust key parameters:
- Pivot Left/Right
- Tolerance ± bars
- Min hits / Min score / Strong score
- Filter small pivots (reduce noise)
> Tip: Higher timeframes (4H–1D) usually work best with Mode A (cleaner). Lower timeframes (15m–1H) can use Mode B, but require disciplined triggers.
---
### 6) Important notes (avoid misinterpretation)
- Pivots require confirmation → pivot-based signals **do not print exactly at the top/bottom**, but after *pivRight* bars.
- Future **projected clusters may shift** when new pivots appear (they update with new data).
Treat Time Clusters as **time windows to be alert**, not “exact entry points”.
- This script does not replace a trading plan; always use proper position sizing and risk control.
---
### 7) Performance
This script uses many drawing objects (box/label/line). If your device is slow:
- Reduce **Max pivots stored**
- Reduce the number of clusters displayed or switch to **Mode A**
- Use a higher timeframe
---
**Disclaimer:** This tool is for technical analysis support only and is not financial advice. You are responsible for your own trading decisions.
---
## User Guide
### 1) What is this indicator for?
This indicator combines **Auto Ichimoku** + **Time Theory Clusters** to:
- Identify **trend & equilibrium zones** via Ichimoku (Kumo, Tenkan/Kijun, Chikou).
- Find **time windows** with higher probability of volatility/reversal/acceleration (Time Clusters).
- Score each time cluster based on **cluster strength (hits)** and **Ichimoku context (context bonus)**.
> Key reminder: Time Clusters answer **WHEN**, not **WHERE**. Always combine them with **price confirmation / Ichimoku / PA** before entering.
---
### 2) Add the indicator & quick setup
1. Open a chart → **Indicators** → choose **Ichimoku + Time Theory Cluster PRO++**.
2. Recommended timeframes:
- Swing/position: **H4 – D1 – W1**
- Intraday: **M15 – H1** (noisier; needs stricter filtering).
3. Choose **Mode (Preset)**:
- **A: Fewer but stronger** → stricter, fewer signals, higher quality (recommended for swing).
- **B: More early warnings** → more signals (recommended for intraday monitoring).
- **Custom** → fine-tune all parameters.
---
### 3) Signal meaning (how to read the chart)
The indicator marks **Time Clusters** in two levels:
- **Time Cluster Enter (Normal)**: meets minimum thresholds (minHits/minScore).
- **Time Cluster Enter (Strong / TC++)**: strong cluster (score ≥ strongScore) → higher priority.
**Correct interpretation:**
- As price approaches a Time Cluster window, the market is more likely to:
- reverse,
- break out of consolidation,
- accelerate a trend,
- or produce strong volatility (sweep/false break).
- Trading direction should be aligned with **Ichimoku context** (see section 4).
---
### 4) Suggested trading rules (practical & simple)
#### A. Trend trading (recommended)
**Prefer LONG when:**
- Price is **above Kumo**, future Kumo is bullish (Span A > Span B).
- Tenkan is **above** Kijun (or just crossed up), Chikou is not trapped by price/cloud.
- At a Time Cluster:
- Look for a **pullback** to Kijun/Tenkan or structural support,
- Wait for confirmation (engulfing/pinbar/micro-structure break),
- Enter.
**Prefer SHORT when:**
- Price is **below Kumo**, future Kumo is bearish (Span A < Span B).
- Tenkan is **below** Kijun, Chikou is pressured/blocked.
- At a Time Cluster:
- Look for a rally into Kijun/cloud edge,
- Wait for rejection, then enter.
✅ Tip: **Strong clusters (TC++)** matter most when they align with:
- Kumo edge,
- Kijun,
- horizontal S/R,
- supply/demand (order block) or swing high/low.
#### B. Reversal trading (only with strong confirmation)
Consider reversals only when:
- Time Cluster is **Strong (TC++)**
- + you see a **structure shift** (BOS/CHoCH) or a clear reversal candle setup,
- + Ichimoku shows weakness (price inside cloud, flat Tenkan/Kijun, Chikou trapped).
---
### 5) Risk management (mandatory)
- Do not enter just because you “reached a Time Cluster”.
- Always set SL by structure:
- LONG: below swing low / below Kijun / below nearest cloud edge.
- SHORT: above swing high / above Kijun / above nearest cloud edge.
- Take profit using:
- minimum R:R **1:1.5 – 1:2**
- or key targets (prior highs/lows, cloud boundaries, fib levels, etc.)
---
### 6) Inputs explained (Custom mode)
- **Pivot Left / Pivot Right**: pivot confirmation (higher = fewer but more reliable pivots).
- **Max pivots stored**: how many pivots are stored for clustering (more = more sensitive but heavier).
- **Tolerance ± bars**: cluster window width (larger = more clusters; smaller = sharper).
- **Min hits**: minimum overlaps to qualify as a cluster.
- **Min score**: minimum score to accept a cluster.
- **Strong score**: threshold to mark strong clusters (TC++).
- **Filter small pivots / Filter mode**: remove small pivots to reduce noise (recommended ON).
---
### 7) Alerts (recommended)
You can create alerts for:
- **Time Cluster Enter (Normal)**
- **Time Cluster Enter (Strong / TC++)**
Recommendation: set alerts on your main trading timeframe (H1/H4/D1) to avoid spam on very small TFs.
---
### 8) Disclaimer
This indicator is for technical analysis support only and is **not financial advice**. All trading decisions are your responsibility. Please test (forward/backtest) and apply risk management before using real money.
---
### 9) Access (Invite-only, if applicable)
To request access, send me a private message on TradingView with:
- TradingView username
- Market you trade (Crypto/FX/Indices…)
- Primary timeframe (e.g., H1/H4/D1)
I will grant access in order of requests.
---
Forex Pairs Relative Analysis and SuggestionsThis Pine Script (version 5) indicator, titled "Forex Pairs Relative Analysis and Suggestions," is designed for use on TradingView charts. It provides real-time analysis of major forex pairs sourced from the IC Markets exchange, facilitating relative value or pair trading strategies by evaluating currency strengths against the US Dollar (USD). The script focuses on seven major currencies—EUR, GBP, AUD, NZD, JPY, CAD, and CHF—through their respective pairs: EURUSD, GBPUSD, AUDUSD, NZDUSD, USDJPY, USDCAD, and USDCHF.
Key features include:
Relative Currency Strengths: Calculated using the Rate of Change (ROC) over a user-defined lookback period (default: 14 bars), normalized to reflect performance versus USD. Positive values indicate strengthening, while negative values denote weakening.
Annualized Volatilities: Derived from the standard deviation of logarithmic returns, annualized assuming 252 trading days, and expressed as percentages to compare risk levels across pairs.
Full Pairwise Correlations: A comprehensive matrix displaying Pearson correlation coefficients between all pairs over the lookback period, aiding in identifying hedging opportunities (e.g., low or negative correlations for diversification).
Automated Pair Suggestions: Identifies the strongest and weakest currencies, proposing a long position in the pair to buy the strong currency and a short position (or opposite direction) to sell the weak currency against USD. Suggestions include estimated lot sizes based on user-input account balance, risk percentage (default: 1%), and a stop-loss proxy using 1x Average True Range (ATR).
Visual Elements: A table displays all metrics with color-coded rows for readability (optimized for dark mode), alternating backgrounds, and merged cells for suggestions. Strengths are also plotted in a separate pane with matching colors for trend visualization.
Customization: Users can adjust the lookback length, ATR period, account balance, and risk percentage via indicator settings to tailor the analysis.
Ensure access to IC Markets data in your TradingView account. The table appears in the top-left position by default and updates on the last bar. This tool is intended for educational and analytical purposes, supporting informed decision-making in forex trading by highlighting relative strengths, risks, and potential hedges.
Guidance on Choosing a Timeframe:
The indicator adapts to the chart's timeframe, with the lookback period influencing the historical window for metrics. Select based on your strategy:
Short-Term (Intraday/Scalping): Use 15-minute to 1-hour charts for timely signals; adjust lookback to 5–10 for responsiveness.
Medium-Term (Swing Trading): Opt for 4-hour to daily charts (recommended default) for balanced trends; 14-bar lookback covers days to weeks.
Long-Term (Position Trading): Choose weekly or monthly charts for macro views; increase lookback to 20–50 for smoother data.
Test across timeframes via backtesting to align with your risk and objectives.
Disclaimer:
This script is provided for informational and educational purposes only and does not constitute financial, investment, or trading advice. Trading forex involves significant risk of loss and is not suitable for all individuals. Past performance is not indicative of future results. The calculations, suggestions, and metrics (including lot sizes) are based on historical data and simplified assumptions, such as using ATR for stop-loss estimation, and may not account for real-time market conditions, slippage, commissions, or other factors. Users should conduct their own research, consult with qualified financial professionals, and verify the script's outputs before making any trading decisions. The author assumes no responsibility or liability for any losses incurred from the use of this script.
virgin wick theorybased off of www.youtube.com strategy.
shows levels for the next HTF period to trade off of
make sure to check your htf to double check as the max lookback doesnt cover some levels occasionally






















