Digital MACD Divergences MTF [LUPEN]Digital MACD Divergences MTF V1.0
Overview:
Digital MACD Divergences MTF is an advanced momentum oscillator based on digital signal processing techniques.
Instead of relying on traditional moving-average smoothing, it applies Finite Impulse Response (FIR) digital filters to extract momentum more cleanly, reducing lag and short-term market noise.
The indicator is designed to provide a clear visualization of momentum structure, divergence behavior, and multi-timeframe context, rather than discrete trading signals.
Conceptual Architecture
At its core, the indicator reinterprets the classic MACD framework through digital convolution logic:
FIR filters are used to compute momentum in a more responsive and stable manner than standard EMA-based MACD.
The resulting histogram represents momentum intensity and direction as a continuous state rather than binary conditions.
A digitally smoothed signal line provides structural reference without introducing excessive delay.
This approach emphasizes momentum quality and structure, not signal frequency.
Divergence Detection Logic:
The script includes automatic divergence detection based on pivot analysis:
Regular bullish and bearish divergences are identified using confirmed pivot points.
Divergences are visualized with explicit line structures and optional filled areas, highlighting the zone of disagreement between price behavior and momentum.
The visualization is designed to remain readable without obscuring price action.
Divergences are presented as contextual information, not as mandatory actions.
Multi-Timeframe (MTF) Context
Digital MACD Divergences MTF supports native multi-timeframe analysis through a dual-pane workflow:
A lower-timeframe instance visualizes local momentum dynamics.
A higher-timeframe instance visualizes the broader momentum regime within which lower-timeframe fluctuations occur.
The higher-timeframe view is not intended as confirmation or filtering logic, but as a contextual background layer that helps interpret short-term momentum behavior inside a larger structural environment.
This separation avoids decision compression and keeps each timeframe’s role conceptually distinct.
Visual Design
Gradient-based histogram fills represent momentum intensity in a continuous manner.
Positive and negative momentum regions are clearly differentiated while remaining adaptable to both dark and light chart themes.
All visual elements are designed to emphasize state and regime, not discrete events.
Reliability
No repainting: all divergences and momentum states are confirmed on candle close and remain fixed.
Designed for consistency across instruments and timeframes.
Customization Options
Timeframe selection for MTF mode (leave empty to use the chart’s timeframe).
Adjustable signal smoothing parameters.
Divergence visibility controls, pivot sensitivity, and optional divergence fill.
Fully customizable color palette.
Usage Notes
This indicator is a visual market analysis tool intended to support momentum interpretation and structural context.
It does not provide investment advice, trading signals, or automated decision logic, and should be used as part of a broader analytical framework.
Final quotes:
"Trading is not about prediction, but about understanding momentum structure.
Digital MACD removes noise to make that structure visible."
インジケーターとストラテジー
[ST] Killzones - Minimal Killzones — Minimal
User Manual
1. Purpose of the Indicator
Killzones — Minimal is a session-based market structure tool designed to highlight the highest-liquidity time windows of the trading day.
Instead of generating signals, this indicator provides context by visually marking the ICT Killzones, allowing the trader to:
Identify where liquidity is built
See which session created the range
Anticipate where liquidity is likely to be taken
Align SMC / Wyckoff / Order Flow analysis with time-based institutional behavior
This tool is especially effective for Crypto, Forex, and Indices, where markets run continuously and liquidity cycles matter more than exchange open times.
2. Killzones Covered (São Paulo Time – UTC-3)
The indicator draws one minimal, dotted box per session:
Session Time (SP) Role in Market Structure
ASIA 21:00 – 03:00 Range formation & liquidity buildup
LONDON 04:00 – 07:00 First liquidity raid & manipulation
NEW YORK (Killzone) 10:00 – 13:00 True displacement & delivery
These are ICT Killzones, not official stock exchange open times.
3. Visual Design Philosophy
The indicator is intentionally minimalist:
Dotted borders → no visual clutter
Optional fill → focus on structure, not noise
No signals or arrows → forces contextual reading
One box per session → clean session boundaries
The goal is to let price action and liquidity tell the story, not indicators.
4. How the Boxes Behave
Each session box:
Starts on the first candle of the session
Expands dynamically to include the session High and Low
Stops updating once the session ends
Remains fixed on the chart as historical context
This allows you to instantly see:
Which session created the current range
Where stop-loss clusters are likely resting
Which session was manipulated or delivered price
5. How to Use the Indicator (Practical Workflow)
Step 1 — Identify the Current Session
Ask:
Are we inside Asia, London, or New York?
Your expectations should change depending on the session.
Step 2 — Read Session Intent
ASIA
Expect compression and balance
Focus on identifying Asia High / Asia Low
Avoid aggressive trades inside the range
LONDON
Look for liquidity raids on Asia High/Low
Many London moves are manipulative
A failed raid is often a setup for NY
NEW YORK
Look for true displacement
High probability of:
Continuation
Reversal after a sweep
Best session to execute trades
Step 3 — Trade Liquidity, Not Candles
Use the boxes as liquidity maps, not entries.
High-probability ideas come from:
Asia range being swept during London
London manipulation being reversed during NY
NY taking remaining liquidity and delivering direction
6. Example Use Cases
Setup 1 — Asia Range Sweep
Asia forms a tight range
London sweeps Asia High or Low
Price fails to continue
Market shifts structure
Entry on OB / FVG toward the opposite side
Setup 2 — London Manipulation → NY Delivery
London sweeps liquidity but stalls
New York opens
NY takes the opposite side liquidity
Strong displacement occurs
Entry on NY pullback
Setup 3 — Session Breakout
No sweep
Immediate strong displacement
Clean continuation
Trade only after confirmation
7. What NOT to Do
Do not trade inside the middle of session boxes
Do not assume every sweep means reversal
Do not force trades without structure shift
Do not treat sessions as signals
The indicator shows where to pay attention, not when to click Buy or Sell.
8. Best Confluence Tools
This indicator works best when combined with:
Market Structure (BOS / CHoCH)
Order Blocks
Fair Value Gaps
Liquidity pools
Volume-based candle analysis (e.g. CandleFlow)
9. Final Notes
Killzones — Minimal is a contextual framework, not a strategy.
If you wait for:
Liquidity to be taken
Structure to shift
Price to confirm intent
You will trade with the market narrative, not against it.
Time reveals intent. Liquidity confirms it.
Sentinel Market Structure [JOAT]
Sentinel Market Structure - Smart Money Structure Analysis
Introduction and Purpose
Sentinel Market Structure is an open-source overlay indicator that identifies swing highs/lows, tracks market structure (HH/HL/LH/LL), detects Break of Structure (BOS) and Change of Character (CHoCH) signals, and marks order blocks. The core problem this indicator solves is that retail traders often miss structural shifts that smart money traders use to identify trend changes.
This indicator addresses that by automatically tracking market structure and alerting traders to key structural breaks that often precede significant moves.
Why These Components Work Together
Each component provides different structural information:
1. Swing Detection - Identifies significant pivot highs and lows. These are the building blocks of market structure.
2. Structure Labels (HH/HL/LH/LL) - Classifies each swing relative to the previous swing. Higher Highs + Higher Lows = uptrend. Lower Highs + Lower Lows = downtrend.
3. Break of Structure (BOS) - Identifies when price breaks a swing level in the direction of the trend. This is a continuation signal.
4. Change of Character (CHoCH) - Identifies when price breaks a swing level against the trend. This is a potential reversal signal.
5. Order Blocks - Marks the last opposing candle before an impulse move. These zones often act as future support/resistance.
How the Detection Works
Swing Detection:
bool swingHighDetected = high == ta.highest(high, swingLength * 2 + 1)
bool swingLowDetected = low == ta.lowest(low, swingLength * 2 + 1)
BOS vs CHoCH Logic:
// BOS: Break in direction of trend (continuation)
bool bullishBOS = close > lastSwingHigh and marketTrend >= 0
// CHoCH: Break against trend (reversal signal)
bool bullishCHOCH = close > lastSwingHigh and marketTrend < 0
Order Block Detection:
bool bullOB = close < open and // Previous candle bearish
close > open and // Current candle bullish
close > high and // Breaking above
(high - low) > ta.atr(14) * 1.5 // Strong impulse
Signal Types
HH (Higher High) - Swing high above previous swing high (bullish structure)
HL (Higher Low) - Swing low above previous swing low (bullish structure)
LH (Lower High) - Swing high below previous swing high (bearish structure)
LL (Lower Low) - Swing low below previous swing low (bearish structure)
BOS↑/BOS↓ - Break of structure in trend direction (continuation)
CHoCH↑/CHoCH↓ - Change of character against trend (potential reversal)
Dashboard Information
Trend - Current market bias (BULLISH/BEARISH/NEUTRAL)
Swing High - Last swing high price with HH/LH label
Swing Low - Last swing low price with HL/LL label
Structure - Current structure state (HH+HL, LH+LL, etc.)
Price - Price position relative to structure
How to Use This Indicator
For Trend Following:
1. Identify trend using structure (HH+HL = uptrend, LH+LL = downtrend)
2. Enter on BOS signals in trend direction
3. Use swing levels for stop placement
For Reversal Trading:
1. Watch for CHoCH signals (break against trend)
2. Confirm with order block formation
3. Enter on retest of order block zone
For Risk Management:
1. Place stops beyond swing highs/lows
2. Use structure lines as trailing stop references
3. Exit when CHoCH signals against your position
Input Parameters
Swing Detection Length (5) - Bars on each side for pivot detection
Show Swing High/Low Points (true) - Toggle swing markers
Show BOS/CHoCH (true) - Toggle structural break signals
Show Structure Lines (true) - Toggle horizontal swing lines
Show Order Blocks (true) - Toggle order block zones
Zone Extension (50) - How far order block boxes extend
Timeframe Recommendations
15m-1H: Good for intraday structure analysis
4H-Daily: Best for swing trading structure
Lower timeframes require smaller swing detection length
Limitations
Swing detection has inherent lag (needs confirmation bars)
Not all BOS/CHoCH signals lead to continuation/reversal
Order block zones are simplified (not full ICT methodology)
Structure analysis is subjective - different traders see different swings
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Market structure analysis does not guarantee trade outcomes. Always use proper risk management.
- Made with passion by officialjackofalltrades
Market Probability Dashboard📊 Market Probability Dashboard
Market Probability Dashboard is a context-driven analytical tool designed to help traders assess directional bias and market conditions using a probabilistic framework.
It does not generate buy/sell signals. Instead, it provides a structured view of bullish vs bearish probability, market regime, and execution readiness — allowing traders to make informed discretionary decisions.
🔍 What This Indicator Does
This indicator estimates the probability of directional movement in the market by combining:
Futures-based momentum and volatility (execution focus)
Spot-based structure and regime (context focus)
A bounded probability engine with adaptive caps
A visual state model for decision clarity
The output is a dashboard + histogram that summarizes market conditions in real time.
🧠 Probability Model (High-Level)
The probability engine follows these principles:
Baseline neutrality: Starts from 50%
Momentum adjustment: Futures EMA alignment nudges probability
Volatility awareness: Expanding volatility increases confidence
Regime control: Spot-derived regime limits probability extremes
Clamping: Probabilities are intentionally bounded to avoid overconfidence
All probabilities are relative, not predictive.
⏱ Timeframe Logic (Auto Mode)
When Auto Timeframe Engine is enabled:
Execution timeframe = chart timeframe
Context timeframe = automatically derived higher timeframe
Regime timeframe = higher-order structure timeframe
This design helps reduce confusion between execution vs context, especially for intraday traders.You may disable Auto Mode and use fixed timeframes if preferred.
📊 Visual Layout Explained
1️⃣ Probability Histogram (Bottom Pane)
Green bars → Bullish probability dominance
Red bars → Bearish probability dominance
Yellow zone (45–55) → No-trade / balance area
Bar opacity increases with conviction strength
This view helps you see how probability evolved historically, not just the latest value.
2️⃣ Dashboard Panel (Top-Right)
Field Meaning
ACTION Current market participation state
UP BIAS % Bullish probability (bounded)
MARKET MODE Regime derived from spot structure
TRADE TF Execution timeframe
CONTEXT TF Higher timeframe context
The table is intentionally minimal to remain readable on all chart sizes.
🧭 Decision State Logic (Interpretation Guide)
The indicator classifies conditions into states, not signals:
State Interpretation
NO-TRADE Balanced or range-bound conditions
SCALP-ALLOW Short-term participation possible with reduced expectations
TRADE-LIGHT Directional bias present, moderate conviction
TRADE-PRESS Strong alignment and momentum
EXIT Momentum deterioration or probability reversal
These are context labels, not trade instructions.
🧑💻 How to Use This Indicator
Best used as:
A bias filter before taking trades
A context layer alongside price action
A confidence gauge, not a trigger
Recommended pairing:
Price structure
Volume / VWAP
Personal risk rules
⚠️ Important Disclaimer
This indicator is for analytical and educational purposes only.It does not provide buy/sell signals.It does not predict future price. All probability values are estimates, not guarantees.Trading involves risk. Always validate decisions using your own analysis and risk management.
RVOL Highlighter (Bullish Volume Spikes)Description:
A simple yet powerful indicator that highlights candles with unusually high buying volume.
What it does:
Identifies candles where relative volume (RVOL) exceeds your chosen threshold AND the candle is bullish (green). These high-volume bullish candles often signal strong institutional buying interest or momentum breakouts.
How it works:
Calculates RVOL by comparing current volume to the simple moving average of volume over your selected period
Only highlights candles that meet BOTH conditions: RVOL above threshold + bullish close
Highlighted candles appear in bright magenta for easy visibility on dark mode charts
Settings:
RVOL Period: Lookback period for average volume calculation (default: 10)
RVOL Threshold: Minimum relative volume multiplier to trigger highlight (default: 2.5x)
Highlight Color: Customizable (default: magenta #FF00FF)
Use cases:
Spot potential breakout entries with volume confirmation
Identify accumulation zones
Filter for high-conviction bullish moves
Works on any timeframe and any asset. The actual RVOL value is available in the data window when hovering over candles.
3 Time Frame Supertrend Alignment With Market FilterThis indicator combines a 3-timeframe Supertrend alignment with a market filter symbol (default SPY) to help avoid chop and only trade when both the stock and the broader market are trending the same way.
The mashup is intentional: Supertrend alignment on your chart alone can still fail if the market is moving the other direction, so this script requires agreement from both.
Default timeframes (how I use it)
I use:
TF1 = 1h
TF2 = 4h
TF3 = 1D
You can change these in settings, but the idea is “intraday trend + higher intraday trend + daily trend.”
What it does
Calculates Supertrend direction on three timeframes for:
the current chart symbol, and
SPY (or any filter symbol you choose).
Shows a bottom-left table with Bull/Bear for each timeframe on both symbols.
Gives a combined read:
Trade long only if both the chart symbol and SPY are bullish on all 3 TFs
Trade short only if both are bearish on all 3 TFs
Otherwise: No trade
How the parts work together:
The 3TF Supertrend acts as your trend filter (all timeframes must agree).
SPY acts as confirmation of the broader market regime.
Requiring both to align is meant to reduce low-quality trades when your ticker diverges from the market.
Important settings
Per-timeframe factors: separate Supertrend factors for TF1/TF2/TF3 (applied to both symbols).
Use last closed bar (locks / no repaint): uses the most recently closed bar for each timeframe to reduce intrabar flips.
Optional chart plot: can plot Supertrend on the chart for visual reference (uses the TF1 factor).
Notes
This is an indicator for trend alignment and filtering, not a strategy and not a guarantee of results. Publish with a clean chart so the table and optional plot are easy to identify.
MACD Bounce Strategy for CryptohopperSell and Buy alerts based on MACD crossover values for automated triggers in Cryptohopper
Onda Trend34 EMA cloud based on Insilico Trend Heuristic indicator.
34 Close Midline with the High/Low Cloud shaded in white/grey to match your screenshot.
Trend Warning / Direction (EMA20/50)Hier ist der Changelog-Text für die Veröffentlichung:
Update v1.1 – Optimized Signal Timing
Changes:
Warning triangles (yellow) now trigger in real-time for early detection of potential EMA crossovers
Crossover signals (green/red) now only confirm on candle close to prevent false signals
Removed confirmOnClose option as the optimal behavior is now built-in
Why this matters:
Get early warnings as soon as EMAs start converging – no waiting for candle close
Confirmed crossover signals won't repaint or disappear – what you see is final
Best of both worlds: speed for warnings, reliability for entries
MA Momentum Score by WizkaThis is my explorative study script which I have named as MA Momentum Score. It calculates one score number (-10,+10) to describe the price and MA structure. It gives points on the order and direction of price and three moving averages so that bullish order (Price>MA20>MA50>MA200) gives +1 point to each pair, and bearish order gives -1 point. There are 6 comparisons (price and 3 MAs against each other). Addition to this +1 point is given if the direction of each is upwards, and -1 if downwards. So, altogether score can be from -10p (fully bearish structure) to +10p (fully bullish structure). This is shown as blue line in the indicator. It uses classic SMAs of 20,50,200 and it is called Slow score. Next, the similar score is calculated for faster MAs (5,12,26) and it is called Fast score (orange line). Finally, the differential Fast-Slow is calculated and visualized as histogram. Green, when Fast>Slow (bullish), and Red, when Fast
USDT: Market cap changeUSDT: Market Cap Change
This indicator tracks the market capitalization changes of major stablecoins (USDT, USDC, and DAI) to help identify capital flows in the cryptocurrency market.
Features:
Monitor daily and custom period market cap changes for selected stablecoins
Configurable stablecoin selection (USDT, USDC, DAI)
Adjustable lookback period for measuring market cap changes
Multiple moving average types (SMA, EMA, HMA, WMA, RMA) for trend analysis
Visual representation with columns for daily changes and area fill for custom period changes
How to Use:
The indicator displays two main metrics: daily market cap change (shown as columns) and custom period change (shown as a line with area fill). Positive values indicate capital inflow into stablecoins, which may suggest accumulation or risk-off sentiment. Negative values indicate capital outflow, potentially signaling deployment into other crypto assets.
The moving average overlay helps identify trends in stablecoin market cap changes over time.
Settings:
Select which stablecoins to track
Adjust the lookback period (default: 60 days)
Toggle and configure the moving average overlay
Customize MA type and length
Data Source:
Uses Glassnode market capitalization data for USDT, USDC, and DAI on a daily timeframe.
Position Size Calc - Prime Hour Trading v2Descriptive Summary:
The tool acts as a "cockpit dashboard" for your trades, visually mapping out entry, stop-loss, and take-profit levels directly on your chart. It eliminates manual math by instantly converting your personal risk parameters—such as account balance and risk percentage (e.g., 1–2%)—into the exact number of shares, lots, or contracts required for the trade.
Core Features & Functionality
Dynamic Visual Planning: Users can drag entry and exit lines in real-time, with position sizes automatically recalculating as the distance between entry and stop-loss changes.
Automated Risk Modeling: It provides a real-time Risk-to-Reward Ratio (RRR) and precise dollar amounts for potential profit or loss, helping traders stay disciplined and avoid emotional overleveraging.
Advanced Calculation Modes:
Fixed Risk: Risking a set dollar amount or percentage of total equity.
How to Use It
Select the Tool: In the left-hand toolbar, select the Long Position or Short Position drawing tool.
Define Levels: Click on the chart to set your entry, then drag the shaded regions to set your target prices or Take Profit and then Stop Loss.
Input Account Data: Double-click the tool to open "Settings" and enter your Account Size and Risk % or Amount.
Momentum Trader ToolboxMomentum Traders Toolbox Pro combines three daily-anchored tools into one overlay so momentum traders can see trend, extension, and volatility context without stacking multiple indicators.
What it includes:
Daily EMAs: plots the 8/21/50 EMAs calculated on the daily timeframe on any chart. A fill between the 8 and 21 EMA helps visualize short-term momentum.
ADR/ATR table: optional rows show daily ATR, ADR%, distance from the daily low, distance from the selected daily EMA (default 8), and an extension reading: EMA extension (x) = (EMA distance %) ÷ (ADR%). The extension value is color-coded by thresholds you can customize.
VIX regime: pulls daily VIX and calculates a z-score over your lookback, then labels the environment as risk-on, risk-off, or neutral. The VIX values are daily-based by design, so on non-daily charts the table shows a reminder to use the daily timeframe for the VIX score.
Notes:
Daily values can update intraday until the daily candle closes.
The EMA plots include an optional Offset; keep it at 0 if you don’t want shifted lines.
Nth Candle movement🔷 Indicator Name
Nth candle movement – Nth Candle Projection & Dynamic EMA System
________________________________________
🔷 Short Description
Nth candle movement is an advanced price-based indicator that uses Nth candle mathematics, percentage projections, and a dynamic EMA system to visualize intraday structure and evolving market momentum.
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🔷 Overview
Nth candle movement combines time-based Nth candle logic, percentage offset zones, and a stage-based dynamic EMA to help traders understand how price behaves around mathematically derived reference points.
Instead of using fixed indicators, this script dynamically adapts to:
• Day structure
• Time progression
• Price reaction around calculated levels
The indicator automatically resets every new trading day, ensuring fresh, non-repainting levels.
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🔷 Core Concepts Used
• Nth candle calculation based on day of month
• Percentage-based expansion and contraction zones
• 0.2611% precision micro-levels
• Dynamic EMA length that evolves with time
• Angle-inspired mathematical projections
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🔷 Key Features
🔹 Nth Candle Projection Systems (4 Systems)
• Four independent Nth systems based on angle mathematics
• Automatically captures the Nth candle close
• Projects:
o Upper & lower percentage zones
o Precision 0.2611% levels
• Daily auto-reset (no clutter)
Each system can be individually enabled or disabled.
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🔹 Visual Zone Highlighting
• Upper and lower projection bands
• Color-filled zones for better clarity
• Clean object management (lines, labels, fills)
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🔹 Nth Marker Labels
• Optional Nth candle markers
• Helps visually identify the exact calculation point
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🔹 Dynamic EMA System (Angle-Based)
• EMA length dynamically changes as market progresses
• Uses multiple Nth stages to shift EMA behaviour
• Color-coded EMA reflects the active mathematical phase
This allows traders to see momentum transitions instead of guessing them.
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🔷 How to Use
1. Apply the indicator on any intraday or higher timeframe
2. Observe Nth candle markers and projected zones
3. Watch how price reacts inside or outside the zones
4. Use the Dynamic EMA color and slope as momentum guidance
5. Combine with price action or confirmation logic for entries
⚠️ This is a decision-support tool, not a buy/sell signal generator.
This indicator is for educational and informational purposes only.
It does not constitute financial advice.
Trading involves risk, and past performance does not guarantee future results.
Always do your own analysis before entering any trade.
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🔷 Best Use Cases
• Intraday structure analysis
• Volatility expansion tracking
• Time-based price reaction studies
• Momentum phase identification
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🔷 Timeframe Compatibility
✅ Works on all timeframes
Best suited for:
• 3m, 5m, 15m (Intraday)
• 1H, 4H (Swing structure)
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🔷 Asset Compatibility
✔ Stocks
✔ Indices
✔ Forex
✔ Crypto
✔ Futures
MEGA Sector Rotation CRYPTOCAP - 8 Narrativas (Optimized Daily)### MEGA Sector Rotation CRYPTOCAP - 7 Narratives
**Description for publishing on TradingView:**
This advanced indicator lets you visualize in real time the **rotation of narratives** within the crypto market through 7 key sectors, normalized for perfect side-by-side comparison.
Each line represents the **historical relative strength** (min-max normalization over 5000 bars) of a specific narrative, based on TradingView's official aggregated market caps (CRYPTOCAP) and custom sums. The lines oscillate between 0 and 100, with clear crossovers signaling when a sector is gaining or losing momentum relative to the others.
**The 7 narratives included:**
1. **Layer1** (pink) – Aggregated market cap of major Layer 1 blockchains.
2. **Memecoins** (bright green) – Official MEME.C sector (PEPE, SHIB, WIF, BONK, etc.).
3. **AI** (orange) – Artificial Intelligence and Big Data narrative.
4. **Exchanges** (purple) – Exchange tokens (centralized and decentralized).
5. **DeFi Total** (cyan) – Full aggregated market cap of the DeFi ecosystem.
6. **RWA Custom** (brown) – Custom sum of Real World Assets: ONDO + LINK + CFG + SYRUP.
7. **Privacy** (dark orange) – Custom sum of privacy coins: XMR + ZEC + DASH.
**Quick interpretation:**
- Line >80 and rising → Narrative is **HOT** (strong bullish rotation).
- Line <20 → Narrative is **COLD** (losing strength).
- Bullish crossovers → Money rotating into that sector.
- Transparent fills between lines to highlight leadership zones.
**Features:**
- Optimized for **lower timeframes** (5m, 15m, 1H, 4H) → ideal for day trading and scalping narratives.
- Works on any TF thanks to 5-minute resolution data.
- Thick lines, vibrant colors, and horizontal references (20/50/80) for instant reading.
Perfect for spotting early which narrative is attracting capital flows and anticipating sector moves in the crypto market.
Add this indicator and trade rotations like a pro!
#crypto #sectorrotation #narratives #altcoins #tradingview
Expansion Setup: Entries & structure + AlertsThis is a specific market condition often called a Broadening Formation or an Expansion Move, where volatility increases enough to break both the previous structural low and then immediately break the previous structural high (or vice versa).
1. LL to HH: A New Lower Low is formed, followed immediately by a New Higher High.
2. HH to LL: A New Higher High is formed, followed immediately by a New Lower Low.
3. Entry Levels: When a setup is detected (LL ➔ HH or HH ➔ LL), the script now draws two specific entry lines extending forward:
The "Breaker" Level: The previous structure point that was broken. (Often a safe retest entry).
The 50% Retracement: The midpoint of the expansion move (The "Equilibrium" or "Discount" entry).
FVG BearishThis indicator identified negetive Fair Value Gap based on the following creteria:
1. Gap between the last but 1 candle low and current candle high
2. The width of the gap is at least 0.3% of current close
3. The previous candle is a bearish candle with body at least 0.7% of current close
4. Value of the previous candle is greater tha equal to 30 M
5. The candle is marked with red dot on top
Aura Vortex Oscillator [Pineify]Aura Vortex Oscillator – Adaptive Momentum with Visual Depth
The Aura Vortex Oscillator is a sophisticated momentum indicator that transforms raw price action into a visually immersive analytical tool. By combining Sigmoid-based normalization through ArcTan mathematics with adaptive momentum calculations, this oscillator delivers clear, bounded signals while filtering market noise. The distinctive "Vortex Mesh" visualization creates a layered depth effect that reveals trend consensus across multiple smoothing periods.
Key Features
Sigmoid normalization using ArcTan function for bounded output (-100 to +100)
Adaptive momentum calculation with standard deviation normalization
Multi-layered "Vortex Mesh" creating visual depth and trend confluence signals
Dynamic color-coded visualization for instant trend recognition
Zero-line crossover signals with plotted reversal markers
Extreme zone highlighting for overbought/oversold conditions
How It Works
The core calculation begins with computing the Z-score of price relative to its simple moving average, normalized by standard deviation. This adaptive component automatically adjusts sensitivity based on recent volatility. The normalized value then passes through an ArcTan function, which acts as a sigmoid transformation, "squarifying" the output to emphasize extreme conditions while keeping values bounded.
os = atan(z × intensity) × 63.66
The multiplier 63.66 scales the output to approximately -100 to +100, providing intuitive overbought/oversold levels at ±50.
Trading Ideas and Insights
Use zero-line crossovers as primary trend change signals – bullish when crossing above, bearish when crossing below
Monitor the Vortex Mesh thickness – a thick, solid aura indicates strong trend consensus across timeframes
Watch for background highlighting at ±50 levels to identify statistical extremes for potential reversals
Combine with price action analysis when the oscillator reaches boundary zones
How Multiple Indicators Work Together
The Aura Vortex Oscillator integrates three technical concepts into one cohesive system. The adaptive momentum calculation provides the raw signal, responding dynamically to market volatility. The ArcTan normalization bounds this signal and emphasizes extremes without clipping. Finally, the Vortex Mesh applies multiple EMA smoothing layers to the base signal, creating visual depth that shows whether different momentum speeds agree on trend direction.
Unique Aspects
Unlike traditional oscillators that show a single line, this indicator visualizes momentum as a "thermal field" through its layered mesh system. The mesh expands and contracts based on trend agreement – a thick, cohesive glow suggests high-confluence momentum, while a thin, scattered appearance warns of choppy, range-bound conditions.
How to Use
Add the indicator to your chart as a separate pane
Look for color transitions (green to red or vice versa) at zero-line crosses for trend reversals
Use the ±50 boundary zones and background highlighting to identify overextended conditions
Enable the Vortex Mesh to visualize trend strength and momentum consensus
Customization
Vortex Sensitivity (20) : Base period for momentum calculation – lower values increase responsiveness
Vortex Intensity (2.0) : Amplifies signal squarification – higher values push readings toward extremes faster
Aura Smoothing (8) : EMA period for the main signal line – higher values reduce noise
Enable Vortex Mesh : Toggle the layered visualization effect
Color Settings : Customize bullish, bearish, and neutral colors
Conclusion
The Aura Vortex Oscillator offers traders a unique perspective on momentum analysis by combining mathematical rigor with innovative visualization. Its adaptive normalization ensures reliable signals across different market conditions, while the Vortex Mesh provides instant visual feedback on trend quality. Whether you are identifying trend reversals, measuring momentum strength, or seeking confluence confirmation, this oscillator delivers actionable insights in an intuitive format.
FVG BullishThis indicator marks the formation of Positive fair value gap in 1 min chart based on the following conditions:
1. Low of current candle is higher than last but one candle
2. The gap between the two is atleast 0.3% of current closing
3. The middle candle oftren called as the expansion candle is at least 0.7% of current close
4. Valune of the expansion candle is greater than 30M indicating institutional participation
5. Such candle are indicated by Green curcles at the bottome
Bitcoin Logarithmic Model with Ranges and ForecastsThis chart is based on the following post x.com and projects the price if bitcoin out into 2039
AlphaStrike: Zen ModeDescription:
1. The Philosophy: Reducing Cognitive Load Modern charts are often cluttered with dozens of noisy lines (Bollinger Bands, Moving Averages, Oscillators) that lead to "Analysis Paralysis." This script is designed with a "Zen" philosophy: P rocess the complexity in the background, but display only the decision.
This is not a simple indicator overlay. It is a Risk-Based Trading Engine that runs multiple validation checks (Momentum, Volatility, and Price Action) simultaneously but hides the underlying calculations to keep the chart clean. It focuses the trader's attention on the two things that matter most: Trend Direction and Position Sizing.
2. The "Invisible" Technical Engine The script operates on a Dual-State Logic system that adapts to market conditions. It uses standard indicators as filters, not just visuals.
A. Trend State (The Backbone) The script calculates a volatility-adjusted Trend Baseline (SuperTrend).
Green State: The market is in a markup phase. The script looks for continuation.
Red State: The market is in a markdown phase. The script looks for defense.
B. The "Confluence" Reversal Logic Instead of cluttering the screen with Bollinger Bands and RSI windows, the script performs these checks internally:
Condition 1 (Volatility): Is price extending beyond the 2.0 Standard Deviation (Bollinger Lower/Upper)?
Condition 2 (Momentum): Is RSI overextended (<35 or >65)?
Condition 3 (Price Action): Is there a specific Pin Bar candle pattern (Long wick rejection)?
Result: Only when all three conditions align does the script print a "Reversal Circle." This filters out weak signals that usually occur in strong trends.
3. The Risk Management Calculator (Key Feature) Most traders fail not because of bad entries, but because of inconsistent sizing. This script features a built-in Dynamic Position Sizing Dashboard located in the bottom right.
Adaptive Stop Loss:
In a Trend: The Stop Loss is automatically set to the Trend Line (SuperTrend).
In a Reversal: The script internally scans for the nearest Swing Low/High (using hidden Pivot calculations) and sets the Stop Loss there.
Position Sizing Math: The dashboard reads your Account Size and Risk % inputs. It instantly calculates the "Max Size" (contract/share amount) allowed for the current trade.
Formula: Position Size = (Account Value * Risk %) / Distance to Stop.
Benefit: This ensures you risk the exact same dollar amount on every trade, whether the stop loss is 1% away or 10% away.
4. How to Read the Signals
Triangles (Breakouts): These represent a shift in the dominant trend direction.
Green Triangle: Bullish Trend Start.
Red Triangle: Bearish Trend Start.
Circles (Mean Reversion): These are high-probability counter-trend plays.
Blue Circle: Buy Reversal (Oversold + Pinbar + Bollinger Support).
Orange Circle: Sell Reversal (Overbought + Pinbar + Bollinger Resistance).
5. Settings
Trend Settings: Adjust the ATR Period and Factor to change the sensitivity of the trend line.
Reversal Settings: Tweak the RSI and Bollinger thresholds to filter out more/less signals.
Risk Management: Input your total Account Size and desired Risk Per Trade (e.g., 1%) to calibrate the Dashboard.
Disclaimer This tool provides algorithmic analysis and risk calculations. It does not guarantee profits or provide financial advice. Always verify position sizes before executing.
US Index Market Snapshot Cash, Futures & ETFsBrief Description
This study displays a real-time table of major U.S. equity indices—Dow Jones, S&P 500, Nasdaq, and Russell—across Cash, Futures, and ETF markets.
Each cell shows the current price along with the daily percentage change, with color-coded backgrounds for quick trend identification.
Designed as a compact market dashboard, it provides an at-a-glance view of cross-market alignment and relative performance.
Alternative Title Options
US Indices Dashboard (Cash • Futures • ETFs)
Index Market Matrix – Prices & Daily Change
Multi-Market US Index Table






















