MTF Confluence Reporter - Trend & Momentum AlignmentThis indicator is a multi-timeframe confluence dashboard designed to answer one question clearly:
“Across my key timeframes, is the market leaning Bullish, Bearish, or Mixed—and how strong is that lean?”
It combines two separate “votes” per timeframe:
4MA Direction (trend alignment / slope bias)
StochRSI State (momentum bias)
Those votes are then blended into a single Confluence result, shown as a clean readout with a 0–100 Strength score, plus hysteresis to reduce flicker near the decision boundary.
What you see in the table
1) 4MA
This is the trend component. It summarizes whether the selected timeframes are generally Bull or Bear based on the moving-average direction logic (your 4MA engine).
2) Stoch
This is the momentum component. It summarizes whether StochRSI across the selected timeframes is leaning Bull or Bear.
3) Qualified (YES/NO)
A safety gate. “Qualified = YES” means the internal conditions required for a valid confluence read are met (i.e., enough alignment/consistency to treat the output as actionable).
If it’s NO, treat the market as mixed / transitional and tighten risk.
4) Strength (0–100)
Your blended score (trend + momentum).
Higher = stronger agreement across timeframes.
A simple way to interpret it:
80–100: Strong alignment (clean regime)
60–79: Moderate alignment (tradable, but expect chop)
50–59: Weak / transitioning (be cautious)
< 50: Bearish side of the regime logic (or mixed turning down)
5) Strength Bar
A visual “battery meter” for the Strength score. This is meant to be read at a glance during fast decision-making.
6) Confluence (BULL/BEAR)
The actual regime output. This is the “final answer” based on the Strength score and hysteresis rules.
7) Hysteresis (Enter / Exit thresholds)
This is the anti-flicker system.
Example shown on the chart:
Enter > 60
Exit < 50
Meaning:
The script only “flips ON” a Bull regime when strength becomes convincingly Bullish (above 60).
It won’t “flip OFF” until strength meaningfully weakens (below 50).
This reduces rapid flipping during 50/50 conditions.
How to use it (practical workflow)
Step 1 — Use Confluence as your “market mode”
BULL: Favor longs, trend-following entries, buying pullbacks.
BEAR: Favor defense, shorts/hedges (if you trade them), or wait for reset.
Qualified = NO: Reduce size, tighten stops, or wait—conditions are not clean.
Step 2 — Use Strength to time aggressiveness
Strength rising: Momentum is joining trend → entries tend to have better follow-through.
Strength falling: Alignment is fading → take profit quicker or tighten risk.
Step 3 — Use hysteresis as your “noise filter”
If you’re a swing trader, hysteresis is your friend:
Don’t overreact to a single bar change.
Let the regime confirm and stay confirmed.
Best use-cases
Swing trading / position bias (daily/weekly context)
Hedge decisions (when alignment flips and stays flipped)
Filtering entries from other tools (only take signals that match the regime)
Settings notes:
This script is designed to be flexible:
You can choose which timeframes matter most to you (commonly 1H / 4H / 1D / 1W / 1M).
If your version includes weighting, you can tune weights to match your trading style (short-term vs swing).
Thresholds (Enter/Exit) can be tightened for faster flips or widened for smoother regimes.
Important notes / disclaimer (TradingView-safe)
This tool is an informational confluence dashboard, not financial advice. No indicator can predict the future. Always confirm with market structure, risk management, and your own plan. Past behavior on a chart does not guarantee future results.
How I Use This Indicator (Example Workflow)
I use this tool primarily as a market-bias and risk-filter, not as a standalone entry signal.
Establish the regime first
I start by checking the Confluence row:
BULL: I focus on long-side ideas and bullish continuation setups.
BEAR: I become defensive, avoid counter-trend trades, or look for short/hedge opportunities where applicable.
Qualified = NO: I treat the market as transitional and reduce risk.
Use Strength to adjust aggressiveness
When Strength is elevated and rising, I am more comfortable holding positions and allowing trades more room to develop.
When Strength is declining, I tighten stops, reduce position size, or manage trades more actively.
Let hysteresis do the work
I do not react to every minor fluctuation near the midpoint.
The built-in hysteresis thresholds help me stay aligned with the prevailing regime instead of over-trading during indecision.
Entries come from other tools
Actual entries are taken using price structure, support/resistance, or other indicators.
This dashboard simply tells me whether the broader environment supports that idea or not.
In short, I treat this indicator as a context and confirmation layer—it helps answer when to be aggressive, cautious, or patient.
廣量指標
Range Fade Strategy [RFS v2]Range Fade Strategy By Meet Patel
Total Trades — Number of completed trades
Win Rate — Percentage of winning trades
Win/Loss Count — Breakdown of results
Profit Factor — Gross profit ÷ Gross loss (>1.5 is good)
Average Win/Loss — Mean profit vs loss per trade
Expectancy — Expected value per trade
Max Drawdown — Largest equity decline
Net P&L — Total profit/loss in currency
Return % — Percentage return on initial capital
TradeChilloutAjánlot STC be allitás L80 F27 SL50,81 27 50...
Teszteld az stc értékeket,szineket téged mi erősit meg a jó döntésben!
A HTF STC 60 zóna 25% 30 zóna 25% 15 step line with diamonds 10 5 4 3 2 circles.
Az Info részen van az alsó táblázat!
MAGIC TRADER RANGE BOX 2.0//@version=6
indicator("MAGIC TRADER RANGE BOX 2.0", overlay=false
// ===== PARAMÈTRES =====
rangeLen = input.int(20, "Longueur Range H1", minval=5)
atrLen = input.int(14, "ATR H1")
atrFactor = input.float(1.0, "Facteur ATR", step=0.1)
maLen = input.int(20, "MA H1")
slopeLimit = input.float(0.05, "Tolérance direction", step=0.01)
// 🎨 STYLE BOÎTE
boxColor = input.color(color.gray, "Couleur de la boîte")
opacity = input.int(85, "Opacité (0-100)", minval=0, maxval=100)
borderColor = input.color(color.gray, "Couleur du contour")
// ===== DONNÉES H1 =====
= request.security(
syminfo.tickerid,
"60",
)
h1HH = request.security(syminfo.tickerid, "60", ta.highest(high, rangeLen))
h1LL = request.security(syminfo.tickerid, "60", ta.lowest(low, rangeLen))
h1ATR = request.security(syminfo.tickerid, "60", ta.atr(atrLen))
h1MA = request.security(syminfo.tickerid, "60", ta.sma(close, maLen))
h1Slope = math.abs(h1MA - h1MA )
// ===== CONDITIONS RANGE H1 =====
lowVol = (h1HH - h1LL) < h1ATR * atrFactor
noDir = h1Slope < slopeLimit
isH1Range = lowVol and noDir
// ===== BOÎTE =====
var box h1Box = na
if isH1Range and na(h1Box)
h1Box := box.new(
left = bar_index,
right = bar_index,
top = h1HH,
bottom = h1LL,
bgcolor = color.new(boxColor, opacity),
border_color = borderColor
)
if isH1Range and not na(h1Box)
box.set_right(h1Box, bar_index)
box.set_top(h1Box, h1HH)
box.set_bottom(h1Box, h1LL)
if not isH1Range and not na(h1Box)
h1Box := na
// ===== ALERTES =====
alertcondition(isH1Range,
title="Range H1 détecté",
message="📦 RANGE H1 détecté sur {{ticker}}")
alertcondition(close > h1HH,
title="Breakout H1 Haussier",
message="🚀 Breakout HAUSSIER du range H1 sur {{ticker}}")
alertcondition(close < h1LL,
title="Breakout H1 Baissier",
message="🔻 Breakout BAISSIER du range H1 sur {{ticker}}")
Future 1 Min Enero 14 2026 V2 mjbdLogica de Future para hacer treading en el Treadingview con NASDAQ
VWAP --S/W/M/Q/Y-- (mk)VWAP — S / W / M / Q / Y (mk)
This indicator plots multi-timeframe anchored VWAPs on a single chart, allowing you to view Session, Weekly, Monthly, Quarterly, and Yearly VWAPs simultaneously, each with optional standard-deviation bands.
It is designed for traders who use VWAP as a fair value reference across multiple market horizons and want higher-timeframe context without switching charts.
🔹 What it shows
Session VWAP (daily reset)
Weekly VWAP
Monthly VWAP
Quarterly VWAP
Yearly VWAP
Each VWAP can be enabled or disabled individually.
🔹 VWAP Bands
For every VWAP, the indicator can optionally plot:
±1 standard deviation
±2 standard deviations
±3 standard deviations
These bands help identify:
Overextended price moves
Mean-reversion zones
Higher-timeframe support and resistance
🔹 Key Features
True anchored VWAP using volume-weighted calculations
Automatic resets based on timeframe changes
Clean, color-coded levels for each timeframe
Independent visibility controls for each VWAP and its bands
Works on any market and timeframe with volume data
🔹 How to use it
Use higher-timeframe VWAPs (Monthly / Quarterly / Yearly) as major bias and balance levels
Use Session and Weekly VWAPs for intraday execution and mean-reversion setups
Combine VWAP confluence across timeframes for high-probability zones
Watch price behavior around ±1 / ±2 / ±3 bands for acceptance or rejection
EMA 9/24/50/100/200 with Labels on chart lines This Pine Script® v6 indicator plots five distinct Exponential Moving Averages (EMAs) onto a single trading chart to help identify trend direction and momentum. By calculating the 9, 24, 50, 100, and 200-period averages, the script allows you to visualize short-term price action alongside long-term support and resistance levels. It uses a color-coded hierarchy and varying line thicknesses to make the different timeframes easy to distinguish at a glance.
with labels on the lines
Desk Alerts: AMD / PLTR / NVDA (VWAP + EMA + Volume)Desk Alerts: AMD / PLTR / NVDA (VWAP + EMA + Volume)
Awesome OscillatorAO/ MacD
8/34/5
My edge - works for the best
............................................................................................................
Session Dominance Profile [Pointalgo]Session Dominance Profile is a visual volume-distribution tool that shows which global trading session (Asia, London, or New York) dominates price activity across different price levels within a defined historical range.
The indicator builds a horizontal volume profile using candle close prices and volume, then classifies each price level by the session that contributed the highest volume.
How It Works :
The script analyzes a configurable lookback period
Price range is divided into multiple horizontal bins
Volume is accumulated per price level
Each bin is split into three session buckets:
Asia Session (Yellow)
London Session (Blue)
New York Session (Red)
The session with the highest volume at that price level determines the color
This results in a Session-based Dominance Profile, helping traders visually identify:
Where major sessions were most active
Session-specific acceptance or rejection zones
Potential intraday and swing reaction areas
Practical Use Cases :
Identify price levels dominated by a specific session
Understand session rotation and participation
Combine with:
Market structure
Support & resistance
VWAP or moving averages
Useful for intraday, scalping, and swing trading
Inputs Explained:
Lookback – Number of historical bars used to build the profile
Resolution – Number of price bins (higher = more detail)
Fixed Width (Bars) – Maximum horizontal width of the profile
Offset (Bars) – Distance of the profile from the current bar
Profile Direction – Left-to-Right or Right-to-Left rendering
Session Time Reference:
All sessions are calculated using UTC time.
Important Notes:
This indicator is visual and analytical only
It does not generate buy or sell signals
No repainting: the profile is calculated on the last bar only
Designed for educational and research purposes
Disclaimer:
This script does not provide financial advice.
Trading involves risk, and past volume behavior does not guarantee future results.
Always confirm signals using additional analysis and proper risk management.
SSL MACD - nhuthang83supertrend method, supertrend method, supertrend method, supertrend method, supertrend method,
Anchored OBV + A/DAnchored OBV + A/D is a single-pane indicator that allows On-Balance Volume (OBV) and Accumulation/Distribution (A/D) to be plotted together using a period-anchored approach.
OBV and A/D are cumulative by nature, which makes their full-history absolute values arbitrary and often incomparable when plotted side-by-side . This script addresses that limitation by anchoring each indicator to a user-defined period (daily, weekly, monthly, etc.) and plotting their relative change from that baseline rather than their raw values. The result is a comparison that preserves each indicator’s internal structure (trends, inflections, and divergences) while minimizing scale conflicts.
How it Works
At the start of each selected anchor period, the script records the current OBV and A/D values as baselines. All subsequent values are plotted as changes relative to those baselines:
- Percent mode measures the % change from the baseline.
- Delta mode measures the absolute change from the baseline.
Optional anchor markers and a zero line make it easy to see when resets occur and how each indicator behaves relative to the period’s starting point.
Advantages vs using OBV and A/D separately
- Direct visual comparison: Both indicators are on the same anchored scale, making relative movement immediately readable.
- Preserved analytical structure: Trends, inflections, and divergences remain intact; time-based shape is not distorted.
- Cleaner workflow: One indicator, one pane, and less chart clutter.
Interpretation
- Values above zero indicate net accumulation or positive volume pressure since the anchor.
- Values below zero indicate net distribution or negative volume pressure since the anchor.
- Trend confirmation: Rising price accompanied by rising anchored OBV and A/D suggests healthy participation.
- Price Divergence: Price making new highs or lows while one or both indicators fail to confirm can indicate weakening participation or a potential change in behavior.
- OBV vs A/D Interaction: When both move together, volume and close-location effects broadly agree. When they diverge, it highlights differences between net up/down volume (OBV) and intrabar accumulation/distribution (A/D).
Warnings!
- Percent mode can become visually unstable when baseline OBV or A/D values are near zero due to division effects inherent in percent-change calculations.
- It is not recommended to interpret structure across periods as each period is relative to a different baseline. Structure is not preserved across periods - only within each individual period.
Credits
This script is inspired by Multi-Ticker Anchored Candles (MTAC) by @SamRecio . MTAC's anchored-baseline concept and open-source nature provided an important conceptual foundation for adapting the same idea to OBV and A/D. Many thanks to @SamRecio for publishing his work openly.
Yen Carry Stress Badge Indicator Overview
This dashboard measures stress in the yen‑carry cycle using price‑based signals from FX, volatility, and global equity markets. Each component is scored based on its current condition, and the combined total reflects whether global markets are in a risk‑on expansion, transition phase, or risk‑off contraction.
Dashboard Components & Indication Levels
USDJPY Trend
Bullish (0 stress): USDJPY above 50‑day MA; yen weakening; carry trade stable
Bearish (1 stress): USDJPY below 50‑day MA; yen strengthening; unwind risk rising
JPY Volatility (ATR%)
Low (0 stress): ATR% < 0.8; stable FX environment
Medium (1 stress): ATR% 0.8–1.2; early instability
High (2 stress): ATR% > 1.2; elevated yen‑carry stress
VIX (Equity Volatility)
Low (0 stress): VIX < 18; calm markets
Medium (1 stress): VIX 18–25; rising uncertainty
High (2 stress): VIX > 25; risk‑off conditions
VWO Strength (Emerging Markets)
Strong (0 stress): VWO/VTI above 50‑day MA; EM participating; liquidity healthy
Weak (1 stress): VWO/VTI below 50‑day MA; EM lagging; early stress signal
VEA Strength (Developed Markets)
Strong (0 stress): VEA/VTI above 50‑day MA; broad global participation
Weak (1 stress): VEA/VTI below 50‑day MA; global breadth narrowing
Total Stress Score (0–10)
0–3: Low Stress (Risk‑On Expansion)
4–6: Moderate Stress (Transition Phase)
7–10: High Stress (Risk‑Off Contraction)
Kinetic Flow [PyraTime]📊 INDICATOR OVERVIEW
Kinetic Flow is a professional-grade momentum and trend-detection engine designed for traders who prioritize precision and clarity. By synthesizing Kinetic Flow Analysis with Fractal Efficiency Filtering, the V8 Flow edition provides a sophisticated, data-driven visualization of market regimes while systematically neutralizing noise through its proprietary "Chop Shield."
🎯 CORE TECHNOLOGIES
🔹 Kinetic Flow Engine
Adaptive Equilibrium: A state-managed basis line that calculates the path of least resistance.
Volatility-Scaled Ribbons: ATR-dynamic channels that expand and contract based on market energy.
Iron-Clad Stability: Logic-locked to closed-bar calculations to eliminate intrabar flickering and "ghost" signals.
🔹 Chop Shield (Fractal Efficiency)
Market Fragmentation Detection: Mathematically identifies when price action lacks directional efficiency.
Regime Filtering: Automatically shifts the indicator into a "Neutral" state during low-efficiency phases to prevent whipsaws.
Fibonacci Thresholding: Defaulted to 61.8% for optimal balance between speed and reliability.
🔹 Professional Signal System
Transition Labels: High-contrast BUY and SELL markers at momentum pivot points.
Overextension Logic: Strategic TP (Take-Profit) markers appear when the "Strain" on the kinetic ribbon reaches exhaustion levels.
Visual Regime Mapping: Adaptive candle coloring provides an immediate heat-map of current market conditions (Bullish, Bearish, or Filtered).
🔹 PyraTime Dashboard (V8 HUD Standard) A specialized, monospace HUD positioned at the Bottom-Right for non-intrusive data monitoring:
CONTEXT: Real-time regime status (BULLISH | BEARISH | FILTERED).
EFFICIENCY: A percentage-based score of directional trend strength.
VOL RATIO: Real-time volatility tracking via precision ATR.
STATUS: Instant operational feedback (ACTIVE | FILTERED).
Sector Momentum Dashboard (Pure 3M / 6M / 12M)Script Description (Simple + Accurate)
This script builds a sector‑momentum dashboard that ranks major U.S. sector ETFs based on their pure trailing performance over a selected lookback period. Instead of using academic momentum windows like 3‑1M or 12‑1M, it measures straight returns over the past 3, 6, or 12 months, using daily closing prices.
The script:
Pulls daily price data for 11 sector ETFs (XLK, XLC, XLI, XLF, XLB, XLV, XLU, XLY, XLE, XLP, XLRE)
Calculates each ETF’s return over the chosen lookback window:
3M = 63 trading days
6M = 126 trading days
12M = 252 trading days
Sorts the ETFs from strongest momentum to weakest
Displays the ranked list in a compact table on the chart
Highlights:
Top 3 sectors in green
Bottom 3 sectors in red
The intention is to give traders a quick, visual snapshot of sector leadership, making it easier to:
Identify which sectors are outperforming
Spot rotation trends
Build or adjust a sector‑rotation strategy
Compare relative strength across the market
It’s designed to be simple, fast, and reliable — ideal for anyone who wants a clean momentum‑based view of the U.S. sector landscape.
SMC Liquidity Grab ProSMC LIquidity GRab Pro is an high probability strategy for the Smart Money Concept (SMC).
It looks for liquidity sweeps also known as stop hunts, where large financial institutions move the price beyond significant levels in order to trigger market orders and then reverse the price quickly.
Features
1. Liquidity Sweeps : It follows the previous 4 hour high/low liquidity in order to pinpoint stop runs.
2. Liquidity grab confirmation: Trade setup where price momentarily breaks through the liquidity level but then ends up again inside the range suggests that there’s been a false breakout.
3.Structure-Based Risk Management: Stop losses are placed beyond the latest swing high/low pivot, instead of basing it on a pip value.
- Live Performance Dashboard - Allows you to display real-time data such as net profit, win rate, and active trade on your chart.
-Customizable Risk-to-Reward- Traders can set risk/reward ratio as per their requirement. Default value is 2.0 RR. Graph Timeframe: This strategy is used on 5-minute or 15-minute charts.
Chart Timeframe: Apply the strategy to 5-minute or 15-minute charts.
HTF Configuration: Set the higher timeframe above your execution chart e.g., 240 minutes for 4-hours.
Fine-Tuning: Adjust the swing lookback parameter to adapt stop-loss placement according to market volatility.
Crypto Options Confluence Overlay Crypto Options Confluence Overlay is a decision-first options framework designed to help crypto traders answer one core question clearly and consistently:
Should I trade CALLs, PUTs, or stand down today?
This indicator does not attempt to price options or replace Greeks. Instead, it focuses on timing, directional bias, and structured exits, using a confluence of price, volatility, momentum, and higher-timeframe context on the daily chart.
It is designed specifically for crypto options and perpetuals, where volatility is high and overstaying trades is often more dangerous than missing them.
What This Indicator Shows
1️⃣ Directional Bias (CALL / PUT / NO-TRADE)
CALL → bullish directional environment
PUT → bearish directional environment
NO-TRADE → mixed alignment (stand down)
This bias is derived from:
Mean trend alignment
Momentum structure (Stoch RSI behavior)
Volatility context (ATR + deviation bands)
Optional weekly directional filter
2️⃣ Timing Window
The indicator highlights whether a trade window is ACTIVE, BUILDING, or OFF.
ACTIVE → valid timing environment
BUILDING → momentum approaching, but not ready
OFF → no timing edge present
This prevents entering trades too early or after momentum has already passed.
3️⃣ Preferred Entry Zone (PEZ)
Shaded zones visually guide where entries are statistically cleaner, rather than chasing price.
Green PEZ → preferred CALL entry region
Red PEZ → preferred PUT entry region
These zones are informational — they help assess entry quality, not force entries.
4️⃣ Primary Exit (Early Profit Zone)
Instead of encouraging traders to hold for a full ATR move, the indicator introduces a Primary Exit, which represents a partial ATR objective.
This:
Reduces emotional decision-making
Encourages consistent profit capture
Aligns better with how options premiums often move
The Primary Exit is intentionally designed as a realistic exit, not a maximum move target.
5️⃣ ATR Target & Risk Context
For traders who want structure:
ATR Target → extended move reference
Band-based Risk Line → invalidation zone
These are context tools, not mandatory holds.
6️⃣ Confidence Score
Each trade environment is scored (e.g., 2/4, 3/4) based on alignment factors.
Higher scores indicate cleaner conditions, not guaranteed outcomes.
How to Use the Indicator (Model Trade Example)
Example: CALL Trade
Bias: CALL
Window: ACTIVE
Confidence: 3/4 or higher
Price Location: Inside or near GREEN PEZ
Entry: Near PEZ during the active window
Primary Exit: At the Primary Exit line
Optional Runner: Toward ATR target if momentum remains strong
Risk: Below the Band-1 risk line
If bias flips to NO-TRADE or PUT, the trade is considered invalid.
Example: PUT Trade
The same process applies in reverse:
Red PEZ
Downside Primary Exit
Risk above Band-1 high
What This Indicator Is — and Is Not
✔ Is
A structured decision engine
Designed for crypto options behavior
Focused on timing + exits
Effective for avoiding bad trades
✖ Is Not
A signal-only indicator
A replacement for position sizing
A guarantee of profit
A strategy that forces constant trading
Recommended Use
Daily timeframe
Liquid crypto pairs
Options or perpetual traders
Traders who value discipline over frequency
Final Note
This indicator will often say NO-TRADE — by design.
Standing down is considered a valid, successful outcome.
Options Confluence Overlay - Stocks (1D) The Options Confluence Overlay — Stocks is a daily timeframe indicator designed for equities and ETFs, with a focus on timing, structure, and risk clarity rather than frequent signals.
This tool combines price structure, volatility, and momentum timing into a single visual framework that helps traders decide when to trade, when to stand aside, and where risk and exits are clearly defined.
Unlike fast-signal indicators, this script emphasizes trade quality over trade quantity.
🔍 What the indicator does
The indicator evaluates four core components on the daily chart, with an optional weekly trend filter:
• Mean + Deviation Band (Band 1) to define structure
• ATR-based targets to project realistic price expansion
• Momentum timing using Stochastic RSI (cross or approach)
• Confluence scoring to allow or block trades
Only when these elements align does the indicator permit a CALL, PUT, or display NO-TRADE.
🟩 Preferred Entry Zone (PEZ)
When a CALL or PUT is allowed, the indicator highlights a Preferred Entry Zone (PEZ):
• CALL PEZ: Mean → Lower Band
• PUT PEZ: Mean → Upper Band
This zone represents areas where risk is better defined and entries are typically more favorable.
🎯 Primary Exit (Partial ATR)
Instead of encouraging traders to chase full volatility expansion, the indicator includes a Primary Exit level:
• A configurable percentage of ATR
• Designed to capture early, high-probability movement
• Especially useful for shorter-term trades or profit protection
Full ATR targets are still shown, but the Primary Exit is intended as the first decision point, not a promise of full extension.
🧠 Entry Quality (Informational)
When enabled, the dashboard displays an Entry Quality hint:
• PEZ Deep — price is deeper into the zone (higher potential, higher patience required)
• PEZ Shallow — price is closer to the mean (faster, but less extended setups)
This is informational only and does not block trades.
🚦 Trade states
The dashboard clearly communicates one of three states:
• CALL allowed
• PUT allowed
• NO-TRADE (conditions are mixed or incomplete)
The indicator is intentionally conservative during NO-TRADE periods.
⚠️ Important notes
• Designed for stocks and ETFs, not crypto
• Intended for daily timeframe analysis
• Not financial advice
• Always combine with proper risk management
📘 Model Trade Example (CALL)
The dashboard shows CALL allowed
Price pulls back into the green PEZ
Weekly filter confirms bullish direction
Enter near the PEZ (no chasing breakouts)
Risk: below Band 1 low
Primary Exit: at the yellow Primary Exit level
Optional: hold partial size toward full ATR target if momentum remains strong
If the dashboard changes to NO-TRADE, no new entries are taken.
📕 Model Trade Example (PUT)
The dashboard shows PUT allowed
Price rallies into the red PEZ
Weekly filter confirms bearish direction
Enter near resistance inside PEZ
Risk: above Band 1 high
Primary Exit: at the yellow Primary Exit level
Avoid holding through momentum exhaustion
Sector Momentum Dashboard (3-1M / 6-1M / 12-1M, Compact)This indicator provides a compact sector‑momentum dashboard designed for ETF rotation and relative strength analysis. It calculates true daily momentum using three institutional lookback windows (3‑1M, 6‑1M, 12‑1M), allowing traders to evaluate short‑term, medium‑term, and long‑term sector leadership. The table ranks major US sector ETFs by momentum, highlights the strongest and weakest performers, and updates dynamically regardless of the chart timeframe. This tool is intended for traders who want a clear, efficient view of sector rotation trends to support tactical allocation, momentum strategies, and market‑strength assessment.
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description
Purpose
This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context.
Data Sources
All fundamentals are pulled from TradingView’s financial dataset using:
request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on)
Where:
"FQ" = Quarterly frequency
barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available)
Financial fields used:
FREE_CASH_FLOW (FCF)
ENTERPRISE_VALUE (EV)
TOTAL_SHARES_OUTSTANDING
DILUTED_SHARES_OUTSTANDING
Market cap is derived (not pulled directly in this version):
marketCap = totalSharesOutstanding * close
(Only used as a reference in the script; the yield itself is based on EV.)
Core Calculation
1) FCF Yield (Net)
The base yield is:
FCF Yield
(
%
)
=
FCF
Enterprise Value
×
100
FCF Yield(%)=
Enterprise Value
FCF
×100
Implementation detail:
If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors.
Dilution Adjustment (Optional Series)
2) Dilution Ratio
The script estimates dilution impact using:
dilutionRatio
=
Total Shares Outstanding
Diluted Shares Outstanding
dilutionRatio=
Diluted Shares Outstanding
Total Shares Outstanding
Notes:
If dilutedSharesOutstanding is missing or zero, the ratio becomes na.
3) Diluted FCF Yield
If the ratio indicates dilution (<= 1), yield is scaled down:
FCF Yield Diluted
=
FCF Yield
×
dilutionRatio
FCF Yield Diluted=FCF Yield×dilutionRatio
Else (ratio > 1 or na), the script defaults to the net yield:
FCF Yield Diluted
=
FCF Yield
FCF Yield Diluted=FCF Yield
Practical interpretation:
More dilution → lower ratio → lower diluted yield.
If dilution fields are not reliable for a ticker, the script falls back to the base yield.
Plotting
Two series are shown:
FCF Yield Net: plotted as columns (bars)
FCF Yield Diluted: plotted as an area overlay
This makes it easy to see:
Step changes when new quarter data arrives
Whether dilution meaningfully reduces the yield
Labels (Per-bar)
When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level.
Important technical point:
Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting:
str.tostring(fcfYieldDiluted / 100, format.percent)
Rolling History & Averages
1) Rolling storage
The script maintains a rolling array of the most recent 40 quarterly values:
40 quarters ≈ 10 years
Each time a non-NA quarterly yield appears:
It pushes it into the array
If array length exceeds 40, it removes the oldest value
2) Trailing averages (quarter windows)
Averages are computed over the most recent N quarters:
1Q (latest quarter value)
4Q ≈ 1 year
8Q ≈ 2 years
20Q ≈ 5 years
40Q ≈ 10 years
If fewer than N values exist, that average is na.
End-of-chart Summary Label
On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above.
Placement logic
The label is positioned slightly to the right of the current bar:
Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future.
frequencyUnit is computed as:
frequencyUnit
≈
Seconds in 12 months
Seconds per chart bar
÷
4
frequencyUnit≈
Seconds per chart bar
Seconds in 12 months
÷4
This is only for visual spacing, not calculation correctness.
Limitations / Notes
The yield series is “step-like” and updates only when new quarterly fundamentals are available.
For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield.
EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.






















