Bhuvana Retrace Predictor It’s a “retracement warning + confirmation” tool. Nothing more.
Concept in simple words
Price runs too far too fast
The script uses EMA + ATR bands to detect when price is “stretched” (far from normal).
The run is losing power
It checks RSI divergence:
Price makes a new high but RSI doesn’t → buyers are getting weaker.
Price makes a new low but RSI doesn’t → sellers are getting weaker.
It waits for proof the pullback started
It then waits for a small structure break:
For a drop: price closes below a recent minor low.
For a bounce: price closes above a recent minor high.
What each label means
SETUP = “Retracement is likely soon” (don’t chase).
CONFIRM = “Retracement probably started” (now it’s tradable).
Brutal truth
This doesn’t predict perfectly. It just stacks 3 common signs:
overextended + weakening momentum + structure break.
Индикаторы и стратегии
InCrypto WatermarkInCrypto Watermark
A customizable overlay indicator that displays essential trading information directly on your TradingView charts. This tool helps traders quickly access key market data without cluttering the chart interface.
KEY FEATURES:
• Symbol Information: Displays current trading pair and active timeframe
• Price Display: Optional current price with smart precision formatting
• Price Change: Optional price change percentage over 24 bars with color-coded indicators
• Date & Time: Multiple format options for date (DD/MM/YYYY, MM/DD/YYYY, YYYY-MM-DD, DD.MM.YYYY) and time (HH:MM, HH:MM:SS)
• Custom Text: Customizable title and subtitle text
• Full Customization: Adjustable positioning, colors, sizes, alignment, and opacity for all elements
• Visibility Controls: Show/hide individual elements independently
• Background Options: Customizable background color, opacity, and optional borders
SETTINGS:
The indicator is organized into logical groups:
- Text Content: Title and subtitle customization
- Visibility: Individual show/hide controls for each element
- Watermark Position: Flexible placement options
- Symbol Info Position: Separate positioning controls
- Cell Size: Width and height adjustments
- Title/Subtitle/Symbol Info Settings: Color, size, alignment, and opacity controls
- Background Settings: Background color, opacity, and border options
USE CASES:
• Chart branding for trading groups or channels
• Quick reference for essential trading information
• Professional-looking charts for screenshots
• Multi-timeframe analysis assistance
TECHNICAL DETAILS:
• Pine Script v6
• Overlay indicator
• Works on all TradingView-supported markets and timeframes
• Real-time updates
HOW TO USE:
1. Add the indicator to your chart
2. Customize title and subtitle in Text Content settings
3. Adjust positioning for watermark and symbol info sections
4. Enable/disable individual information elements as needed
5. Fine-tune colors, sizes, and opacity to match your chart style
The indicator automatically adjusts price precision based on the asset's price level. Price change is calculated over 24 bars of the current timeframe (not 24 hours).
DISCLAIMER:
This indicator is for informational purposes only. It does not constitute investment advice, financial advice, trading advice, or any other type of advice. Past performance does not guarantee future results. Always conduct your own research and risk management before making trading decisions. Trading involves substantial risk of loss and is not suitable for every investor.
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。
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.
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)
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.
––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
🔹 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.
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)
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
Candle Color Setup (SMA/EMA/VWMA/HMA/T3/WMA/VMA)
📘 Candle Coloring by Moving Average — Indicator Explanation (English)
This indicator colors candlesticks based on their position relative to a selected moving average. It helps traders visually identify bullish and bearish momentum by highlighting candles that are above or below the trend line.
🔧 Configurable Parameters
• Price Source: Choose which price to use for the moving average (e.g., close, open, hlc3).
• MA Type: Select from EMA, SMA, VWMA, HMA, Tilson, etc.
• MA Period: Set the number of bars used to calculate the moving average.
• Plot MA Line: Option to display the moving average on the chart.
• Buy Color: Candles above the MA are colored (e.g., blue).
• Sell Color: Candles below the MA are colored (e.g., red).
• Transparency: Adjust how visible the candle colors are (0 = solid, 100 = invisible).
• Tilson vFactor: If using Tilson MA, this controls the smoothing factor.
📈 How It Works
• When the candle’s close is above the moving average → it’s colored with the buy color.
• When the candle’s close is below the moving average → it’s colored with the sell color.
• The moving average acts as a dynamic trend filter, helping you spot directional bias at a glance.
🎯 How to Use It
• Use the colored candles to confirm trend direction.
• Combine with other indicators for entry/exit signals.
• Adjust MA type and period to match your strategy (e.g., short-term EMA for scalping, long-term SMA for swing trading).
• Use Tilson for smoother transitions if you prefer less noise.
Engulfing Strategy Core Concept:
This is a price action trading strategy that identifies high-probability trade setups by combining multi-timeframe engulfing patterns with Current Market Price (CMP) validation.
How It Works:
H4 Setup Zone (Primary Timeframe)
Identifies Bullish or Bearish Engulfing patterns on the 4-hour timeframe
When detected, marks a zone at the high and low of the engulfed candle
This zone represents the initial setup area
M30 Trade Control Zone (Confirmation Timeframe)
Looks for Engulfing patterns on the 30-minute timeframe
These patterns must form within or near the H4 setup zone
Acts as a confirmation that the setup is valid
CMP Validation (Current Market Price)
Monitors where price is currently trading relative to the zones
Validates whether the pattern is still active or has been invalidated
Helps determine entry timing and stop loss placement
Trade Setup:
Bullish Setup: Red candle engulfed by green candles → Zone marked at red candle's high/low → Wait for M30 confirmation → Enter when CMP validates the pattern
Bearish Setup: Green candle engulfed by red candles → Zone marked at green candle's high/low → Wait for M30 confirmation → Enter when CMP validates the pattern
Malama's Range BreakoutMalama's Range Breakout is a dynamic indicator designed to automatically detect periods of price consolidation (tight ranges) and generate actionable signals for breakouts or wick-based reversals.
Why It's Useful: Unlike fixed-time tools like Opening Range Breakouts (ORB), this indicator is Adaptive. It uses a volatility-adjusted threshold (ATR multiplier) to determine when a market is truly consolidating. This helps traders avoid false signals in choppy markets and focus on periods where volatility is compressing.
Key Features:
Adaptive Detection: Uses ATR over a user-defined lookback to find tight ranges automatically.
Preset Profiles: Quickly switch between optimized settings for:
Scalping: (Tight Ranges)
Intraday: (Normal Ranges)
Swing Trading: (Loose Ranges)
Options/Chop: (Extreme sideways movement)
Breakout Signals: Triggers "BUY/SELL" labels when price closes outside the box. Includes an optional Volume Filter to ignore low-momentum breakouts.
Wick Reversals: Detects "Fake-outs" where wicks probe the range boundary but fail to close outside, signaling a potential reversal back into the range.
How to Use:
Select a Profile: Choose "Normal" for standard day trading or "Tight" for scalping.
Wait for the Box: The indicator will draw an orange box when price consolidates.
Trade the Break: Wait for a confirmed close outside the box (Look for the "Malama BUY/SELL" label).
Watch for Rejection: If you see a "Wick" label, it means the breakout failed—be cautious or trade the reversal.
Settings:
Profile: Select your trading style (Scalping, Intraday, Swing).
Volume Filter: Require a volume spike to confirm breakouts (Recommended).
Wick Confirmation: Require a confirmation candle before signaling a wick reversal.
Binance Perp Basis % (Auto)Hello,
This script is pretty much self explanatory.
It is the real-time basis rate % of Binance futures crypto paired with USDT.
If the indicator shows "NaN" it means that the coin exists in USDT.P but does not have a homologue in spot to run the basis rate & calculation.
To change colors:
for positive & negative basis rate % you simply have to open the script & change the values here shown:
//=== 4. Plot =================================================================
col = basis >= 0 ? color.new(color. white , 0) : color.new(color. black , 0)
To change the 0 line color and opacity:
line(0, "Zero line", color=color.new(color.gray, 60), linestyle=hline.style_dashed)
Weighted ATRWeighted ATR is a volatility indicator that computes True Range and smooths it using a selectable kernel (native Wilder ATR, SMA, EMA, WMA, VWMA, or HMA). It outputs a single volatility line in price units for risk sizing, stop distances, and regime filtering.
BALAJEE Style: Liquidity & Volume POC//@version=5
indicator("Order Flow Delta - Footprint Style", overlay=true)
// --- Settings ---
showLabels = input.bool(true, "Show Volume Delta Labels")
highVolThreshold = input.float(1.5, "High Volume Alert (x Average)", step=0.1)
// --- Calculations ---
// Calculating "Delta" (Simple version: Volume * Direction)
float delta = (close > open) ? volume : -volume
float avgVol = ta.sma(volume, 20)
bool isHighVol = volume > avgVol * highVolThreshold
// --- Colors ---
// Professional "Muted" colors like the pros use
color bullColor = color.new(#089981, 0)
color bearColor = color.new(#f23645, 0)
color neutralColor = color.new(color.gray, 50)
// --- Visuals ---
// Color the candles based on Volume Delta
barcolor(delta > 0 ? bullColor : bearColor)
// Plot Delta Labels (The "Numbers" look)
if showLabels
label.new(bar_index, high, text=str.tostring(math.round(volume/1000, 1)) + "k",
style=label.style_none,
textcolor=delta > 0 ? color.green : color.red,
yloc=yloc.abovebar)
// Highlight Institutional Activity (Yellow dots for huge volume)
plotshape(isHighVol, "Institutional Vol", shape.circle, location.bottom, color.yellow, size=size.tiny)
// --- Trend Background ---
var float trendPOC = na
trendPOC := ta.vwap(close)
plot(trendPOC, "VWAP (Fair Value)", color=color.new(color.white, 70), style=plot.style_linebr)
