Dashboard Principales sectores🔍 What This Dashboard Shows
Performance of the top 20 U.S. market sectors and ETFs (e.g., Technology, Energy, Financials, Biotechnology, Semiconductors, etc.).
Percentage change based on the selected chart timeframe:
Daily timeframe → daily change
Weekly timeframe → weekly change
Monthly timeframe → monthly change
Ticker symbol displayed next to each sector name.
Color-coded performance for quick interpretation:
🟩 Positive
🟥 Negative
🟨 Neutral
Chỉ báo và chiến lược
Stablecoin Total Index V3**Stablecoin Total Index V4 - Full History + Full Coverage**
This indicator provides the **best of both worlds**: long historical data AND complete stablecoin coverage.
**How it works:**
- **Before May 2025:** Manual sum of 35 major stablecoins (~90% coverage)
- **After May 2025:** Switches to STABLE.C index (100 stablecoins, 100% coverage)
**Why this approach?**
TradingView's official STABLE.C index was only created on May 19, 2025. This indicator gives you **years of historical data** going back to 2017-2018, then seamlessly transitions to the official index for complete accuracy.
**Note:** There is a ~$30B jump at the May 2025 transition point. This is NOT an error - it represents the ~65 smaller stablecoins that are included in STABLE.C but don't have individual CRYPTOCAP symbols for manual tracking.
**Pre-May 2025 Coverage (35 stablecoins):**
- **Tier 1:** USDT, USDC
- **Tier 2:** DAI, USDe, USDS, FDUSD
- **Tier 3:** TUSD, USDP, GUSD, FRAX, PYUSD, LUSD, BUSD
- **Tier 4 (2024-2025):** USD1, RLUSD, GHO, crvUSD, sUSDe, USDY, USDM
- **Tier 5 (Euro):** EURC, EURT, EURS
- **Tier 6 (DeFi):** USDD, MIM, DOLA, OUSD, alUSD, sUSD, cUSD
- **Tier 7:** HUSD, USDX, USTC
- **Gold-Backed:** PAXG, XAUT
**Post-May 2025:** Full STABLE.C (100 stablecoins)
**Features:**
- Green/Red color based on direction
- 20-period SMA
- Reference lines at $100B, $200B, $300B
**Best used on Daily timeframe or higher.**
Second chartThis is a trend-following momentum confirmation indicator designed to filter trades in the direction of the dominant trend while timing entries using RSI momentum shifts.
Best suited for:
✅ Forex & Crypto
✅ 5m – 1H timeframes
✅ Trend continuation strategies
⚙ Inputs Explained
▸ Trend MA Length
Controls the EMA trend filter
Lower value (20–30) → faster, more signals
Higher value (50–100) → slower, stronger trend filter
▸ RSI Length
Controls responsiveness of momentum
Standard setting: 14
Lower → aggressive entries
Higher → conservative entries
▸ Show Buy/Sell Signals
ON → Displays BUY/SELL labels
OFF → Hides all trade signals
▸ Trend Background
ON → Green = Bullish / Red = Bearish
OFF → Clean chart mode
🧠 Signal Logic Breakdown
RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder📈 RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder
This advanced RSI-based tool helps identify bullish and bearish market trends before they happen — combining classic RSI analysis with Cardwell-style reversals and range shift detection to act as a leading indicator rather than a lagging one.
🧠 Core Concept
The script detects when RSI behavior “shifts ranges,” a signature of trend changes:
• Bull Regime — RSI pullbacks hold above ~40 (momentum stays strong)
• Bear Regime — RSI rallies stall below ~60 (momentum weakens)
It then looks for leading clues inside those regimes:
• ✅ Positive Reversal: Price makes a higher low while RSI makes a lower low — a bullish continuation or early trend reversal signal.
• ❌ Negative Reversal: Price makes a lower high while RSI makes a higher high — an early warning of weakness.
• 🔁 Classic Divergences: Confirms reversals when RSI and price diverge at pivot points.
🎯 Signals
• Green “▲ Bull lead” — bullish reversal or divergence detected.
• Red “▼ Bear lead” — bearish reversal or divergence detected.
• Optional background shading:
• 🟩 Teal = Bullish regime
• 🟥 Red = Bearish regime
⚙️ Customization
• Regime sensitivity — Adjust RSI floor/ceiling for your asset’s volatility.
• Pivot sensitivity — Tune pivot lookback (L/R bars) for faster or slower signals.
• RSI smoothing — Filters noise without losing responsiveness.
• Alerts included — Trigger TradingView alerts for bullish or bearish leading signals.
🕵️♂️ Why it’s different
Unlike standard RSI divergences (which confirm after the move), this indicator uses positive/negative reversals to identify potential trend shifts early — a technique favored by Andrew Cardwell’s RSI analysis.
📊 Works great for:
• Swing trading and trend detection
• Spotting momentum regime shifts
• Stocks, crypto, FX, indices
Thirdeyechart index weekly 2Positive values indicate weekly bullish momentum, while negative values show weekly bearish pressure. The results are displayed in a minimal, easy-to-read table format, suitable for intraday, swing, and position traders who rely on higher-timeframe bias.
This version is intentionally simple, fast, and lightweight, designed for traders who want a straightforward understanding of weekly strength without unnecessary complexity.
Thirdeyechart Index WeeklyThe Index Weekly provides a clean and fast overview of the weekly trend strength for major global indices. This version focuses only on weekly percentage movement, giving traders a quick snapshot of how strong or weak each index is for the current week.
The indicator measures the weekly percentage change using the formula:
((close_week - open_week) / open_week) * 100
Positive values indicate weekly bullish momentum, while negative values show weekly bearish pressure. The results are displayed in a minimal, easy-to-read table format, suitable for intraday, swing, and position traders who rely on higher-timeframe bias.
This version is intentionally simple, fast, and lightweight, designed for traders who want a straightforward understanding of weekly strength without unnecessary complexity.
Supported Index Examples
USD
EUR
GBP
NZD
JPY
CAD
AUD
CHF
XAU
The table highlights each index with color-coded weekly movement, making it easy to spot which markets are leading or lagging for the week.
Disclaimer
This indicator is for education and market observation only. It does not provide buy or sell signals and should not be used as financial advice. Trading involves risk, and users are responsible for their own decisions.
© 2025 Ajik Boy. All rights reserved. Redistribution or commercial use is prohibited.
Thirdeyechart Index – 7 MajorsThe 7 Majors Masterclass is a professional TradingView indicator designed for traders who want a fast, clear, and comprehensive view of the market direction of the 7 major forex pairs. This version monitors EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD, AUDUSD, and NZDUSD simultaneously, allowing traders to see global forex trends at a glance.
The indicator calculates percentage changes for each pair across Weekly (W), Daily (D), 4-Hour (H4), and 1-Hour (H1) timeframes. Positive changes are highlighted in blue, negative changes in red, giving an immediate visual cue of market direction. A Total Average Trend Strength is calculated across all timeframes, helping traders quickly identify strong, weak, or neutral trends for each currency pair.
Math Logic Behind the Indicator
Percent change per timeframe:
pct_tf = ((close_tf - open_tf) / open_tf) * 100
Collect all timeframe values for each pair:
values =
Total Average Trend Strength:
Total_Avg = sum(values) / 4
Trend interpretation (default thresholds):
≥ +0.50 → Strong Uptrend
+0.15 to +0.49 → Weak Uptrend
−0.14 to +0.14 → Neutral
−0.49 to −0.15 → Weak Downtrend
≤ −0.50 → Strong Downtrend
The table layout is boxed and clean, making it easy to compare multiple pairs simultaneously. Traders can use it for intraday, swing, or long-term analysis, quickly assessing which pairs are strong or weak and planning trades accordingly.
This indicator is informational and educational only. It does not provide buy or sell signals. Users must perform their own analysis and apply proper risk management before taking any trades.
Disclaimer / Copyright:
© 2025 Thirdeyechart. All rights reserved. Redistribution, copying, or commercial use without permission is prohibited. The author is not responsible for any trading losses or financial decisions made using this indicator.
Thirdeyechart Gold – 8 XAUThe XAU – 8 Gold Version is the newest and most advanced edition in the Masterclass series, designed specifically for gold traders who need fast, accurate, and multi-angle analysis of XAU behavior across global markets. This version monitors 8 different gold-related symbols simultaneously, presenting all data inside a clean, solid boxed layout. It gives traders a clear view of global XAU direction without switching charts.
This version includes percentage change calculations for Weekly (W), Daily (D), 4-Hour (H4), and 1-Hour (H1) timeframes for all eight gold-related pairs you insert. Positive values appear in blue, negative in red. The upgraded layout is optimized to remain clean, compact, and readable even with eight gold symbols displayed.
Fast Trend Detection With Math Logic
The core of the Final Version is the Total Average Trend Strength Calculation, allowing traders to instantly identify whether gold is in a strong uptrend, weak uptrend, neutral zone, weak downtrend, or strong downtrend—based entirely on mathematical logic.
Math Logic Used:
Percent change per timeframe:
pct_tf = ((close_tf - open_tf) / open_tf) * 100
All timeframe values are collected:
values =
Total Average Strength:
Total_Avg = sum(values) / 4
Final Strength Interpretation (default thresholds):
≥ +0.50 → Strong Uptrend
+0.15 to +0.49 → Weak Uptrend
−0.14 to +0.14 → Neutral
−0.49 to −0.15 → Weak Downtrend
≤ −0.50 → Strong Downtrend
This system ensures fast, unbiased direction detection across all 8 gold symbols at once.
The 8-Gold layout allows traders to see global pressure on XAU from multiple markets such as USD, JPY, EUR, GBP, AUD, CHF, CAD, and NZD — making this version extremely powerful for global gold trend reading.
Disclaimer
© 2025 Thirdeyechart. All rights reserved. This indicator is for educational and informational purposes only. Not a buy/sell signal. Redistribution or commercial use without permission is strictly prohibited. The author is not responsible for any trading loss.
Thirdeyechart Gold – Masterclass FinalThe XAU Masterclass — Final Fix is the definitive TradingView indicator for serious gold traders. Built for speed and clarity, this edition combines a solid boxed layout with an advanced math logic core to detect trend strength quickly across multiple timeframes. Designed specifically for XAU and XAU-related pairs, the indicator shows percentage change on Weekly (W), Daily (D), 4H (H4), and 1H (H1), and distills those readings into a single Total Average Strength value for instant decision context.
Visuals are clean and compact — every symbol row sits inside a solid box so chart clutter is minimised and strength/direction read at a glance. Positive movements are highlighted in blue, negative in red. The Total Average is presented alongside the timeframe values and an interpreted label: “Strong Uptrend”, “Weak Uptrend”, “Neutral”, “Weak Downtrend”, “Strong Downtrend” — driven by configurable thresholds so you can tune sensitivity to your trading style.
Math logic (how it’s calculated):
Per timeframe percent change:
pct_tf = ((close_tf - open_tf) / open_tf) * 100
(calculated for W, D, H4, H1)
Normalize timeframes by simply using their signed percent changes (no external data):
values =
Total Average Strength (arithmetic mean):
Total_Avg = sum(values) / 4
Strength interpretation (default thresholds — adjustable):
Total_Avg >= +0.50 -> Strong Uptrend
+0.15 <= Total_Avg < +0.50 -> Weak Uptrend
-0.15 < Total_Avg < +0.15 -> Neutral
-0.50 < Total_Avg <= -0.15 -> Weak Downtrend
Total_Avg <= -0.50 -> Strong Downtrend
This approach keeps the computation transparent and fast while giving a consolidated market-strength readout. Traders can change thresholds or weighting if preferred; the default provides a reliable, conservative filter for most setups.
Usage note: This tool is informational and made for analysis — it does not issue buy/sell signals. Always combine with your own strategy and risk management.
Disclaimer / Copyright:
© 2025 Thirdeyechart. All rights reserved. Redistribution, copying, or commercial use without permission is prohibited. The author is not responsible for any trading losses or financial decisions made using this indicator.
LiquidEdge:Smooth Edges + SMT + Clean BreakersAutomated Unicorn Model indicator. The code is open source. It detects: smooth edges, breaker blocks, smt s
BHUVANA Fibonacci squeezed 50%–61.8% bandThis indicator is designed based on XAUUSD and in the 5 min time frame,When it looks like upstairs it is BUY trend (uptrend),Wjen it looks like downstairs the trend is sell (ie)Down trend)
Swing mapping: Finds the active high/low over a user-defined lookback and computes Fib 50% and Fib 61.8%.
Squeeze detection: Measures the distance between 50% and 61.8%. If the band width is ≤ (ATR × multiplier), the zone is flagged as a Squeeze.
Breakout entries (on close):
Long when price crosses up through 50% while squeezed.
Short when price crosses down through 61.8% while squeezed.
Risk framework: Auto-plots stop lines from the signal bar:
Long SL = swing low; Short SL = swing high.
Visuals: Fib lines (50/61.8) + optional yellow zone highlight during squeeze.
🎯 Advanced Scalping Indicator - Triple ConfirmationThis is the High Probability Scalping Indicator
Risk Reward: 1:2/3/4 or keep trailing SL
Smart Money Flow - Exchange & TVL Composite# Smart Money Flow - Exchange & TVL Composite Indicator
## Overview
The **Smart Money Flow (SMF)** indicator combines two powerful on-chain metrics - **Exchange Flows** and **Total Value Locked (TVL)** - to create a composite index that tracks institutional and "smart money" movement in the cryptocurrency market. This indicator helps traders identify accumulation and distribution phases by analyzing where capital is flowing.
## What It Does
This indicator normalizes and combines:
- **Exchange Net Flow** (from IntoTheBlock): Tracks Bitcoin/Ethereum movement to and from exchanges
- **Total Value Locked** (from DefiLlama): Measures capital locked in DeFi protocols
The composite index is displayed on a 0-100 scale with clear zones for overbought/oversold conditions.
## Core Concept
### Exchange Flows
- **Negative Flow (Outflows)** = Bullish Signal
- Coins moving OFF exchanges → Long-term holding/accumulation
- Indicates reduced selling pressure
- **Positive Flow (Inflows)** = Bearish Signal
- Coins moving TO exchanges → Preparation for selling
- Indicates potential distribution phase
### Total Value Locked (TVL)
- **Rising TVL** = Bullish Signal
- Capital flowing into DeFi protocols
- Increased ecosystem confidence
- **Falling TVL** = Bearish Signal
- Capital exiting DeFi protocols
- Decreased ecosystem confidence
### Combined Signals
**🟢 Strong Bullish (70-100):**
- Exchange outflows + Rising TVL
- Smart money accumulating and deploying capital
**🔴 Strong Bearish (0-30):**
- Exchange inflows + Falling TVL
- Smart money preparing to sell and exiting positions
**⚪ Neutral (40-60):**
- Mixed or balanced flows
## Key Features
### ✅ Auto-Detection
- Automatically detects chart symbol (BTC/ETH)
- Uses appropriate exchange flow data for each asset
### ✅ Weighted Composite
- Customizable weights for Exchange Flow and TVL components
- Default: 50/50 balance
### ✅ Normalized Scale
- 0-100 index scale
- Configurable lookback period for normalization (default: 90 days)
### ✅ Signal Zones
- **Overbought**: 70+ (Strong bullish pressure)
- **Oversold**: 30- (Strong bearish pressure)
- **Extreme**: 85+ / 15- (Very strong signals)
### ✅ Clean Interface
- Minimal visual clutter by default
- Only main index line and MA visible
- Optional elements can be enabled:
- Background color zones
- Divergence signals
- Trend change markers
- Info table with detailed metrics
### ✅ Divergence Detection
- Identifies when price diverges from smart money flows
- Potential reversal warning signals
### ✅ Alerts
- Extreme overbought/oversold conditions
- Trend changes (crossing 50 line)
- Bullish/bearish divergences
## How to Use
### 1. Trend Confirmation
- Index above 50 = Bullish trend
- Index below 50 = Bearish trend
- Use with price action for confirmation
### 2. Reversal Signals
- **Extreme readings** (>85 or <15) suggest potential reversal
- Look for divergences between price and indicator
### 3. Accumulation/Distribution
- **70+**: Accumulation phase - smart money buying/holding
- **30-**: Distribution phase - smart money selling
### 4. DeFi Health
- Monitor TVL component for DeFi ecosystem strength
- Combine with exchange flows for complete picture
## Settings
### Data Sources
- **Exchange Flow**: IntoTheBlock real-time data
- **TVL**: DefiLlama aggregated DeFi TVL
- **Manual Mode**: For testing or custom data
### Indicator Settings
- **Smoothing Period (MA)**: Default 14 periods
- **Normalization Lookback**: Default 90 days
- **Exchange Flow Weight**: Adjustable 0-100%
- **Overbought/Oversold Levels**: Customizable thresholds
### Visual Options
- Show/Hide Moving Average
- Show/Hide Zone Lines
- Show/Hide Background Colors
- Show/Hide Divergence Signals
- Show/Hide Trend Markers
- Show/Hide Info Table
## Data Requirements
⚠️ **Important Notes:**
- Uses **daily data** from IntoTheBlock and DefiLlama
- Works on any chart timeframe (data updates daily)
- Auto-switches between BTC and ETH based on chart
- All other crypto charts default to BTC exchange flow data
## Best Practices
1. **Use on Daily+ Timeframes**
- On-chain data is daily, most effective on D/W/M charts
2. **Combine with Price Action**
- Use as confirmation, not standalone signals
3. **Watch for Divergences**
- Price making new highs while indicator falling = warning
4. **Monitor Extreme Zones**
- Sustained readings >85 or <15 indicate strong conviction
5. **Context Matters**
- Consider broader market conditions and fundamentals
## Calculation
1. **Exchange Net Flow** = Inflows - Outflows (inverted for index)
2. **TVL Rate of Change** = % change over smoothing period
3. **Normalize** both metrics to 0-100 scale
4. **Composite Index** = (ExchangeFlow × Weight) + (TVL × Weight)
5. **Smooth** with moving average
## Disclaimer
This indicator uses on-chain data for analysis. While valuable, it should not be used as the sole basis for trading decisions. Always combine with other technical analysis tools, fundamental analysis, and proper risk management.
On-chain data reflects blockchain activity but may lag price action. Use this indicator as part of a comprehensive trading strategy.
---
## Credits
**Data Sources:**
- IntoTheBlock: Exchange flow metrics
- DefiLlama: Total Value Locked data
**Indicator by:** @iCD_creator
**Version:** 1.0
**Pine Script™ Version:** 6
---
## Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
LETHINH RSITitle:
RSI + EMA9 + WMA45 Strength Flow Indicator
Description:
This indicator enhances the traditional RSI by combining it with two dynamic moving averages (EMA9 and WMA45) applied directly to the RSI line. The goal is to help traders visually identify momentum strength, trend confirmation, and potential reversal points with greater accuracy.
How It Works:
• RSI (14): Measures market momentum and identifies overbought/oversold conditions.
• EMA9 on RSI: A fast-response signal line that tracks short-term shifts in buyer/seller strength.
• WMA45 on RSI: A slower, smoother indication of long-term momentum flow and trend bias.
Key Signals:
1. EMA9 crosses above WMA45: Momentum turning bullish → potential buy signal.
2. EMA9 crosses below WMA45: Momentum turning bearish → potential sell signal.
3. RSI above 50 + EMA9 above WMA45: Strong bullish environment.
4. RSI below 50 + EMA9 below WMA45: Strong bearish environment.
5. RSI approaching 70/30: Warning zones for exhaustion or potential reversals.
Use Cases:
• Spot momentum reversals earlier than RSI alone.
• Confirm entries when price structure and momentum agree.
• Filter out false breakouts during low-volatility or choppy conditions.
• Strength-based scalping, swing trading, or trend following.
Best Timeframes:
Works on all timeframes, especially effective on M1–M15 for scalping and H1–H4 for swing trading.
Filter Wave1. Indicator Name
Filter Wave
2. One-line Introduction
A visually enhanced trend strength indicator that uses linear regression scoring to render smoothed, color-shifting waves synced to price action.
3. General Overview
Filter Wave+ is a trend analysis tool designed to provide an intuitive and visually dynamic representation of market momentum.
It uses a pairwise comparison algorithm on linear regression values over a lookback period to determine whether price action is consistently moving upward or downward.
The result is a trend score, which is normalized and translated into a color-coded wave that floats above or below the current price. The wave's opacity increases with trend strength, giving a visual cue for confidence in the trend.
The wave itself is not a raw line—it goes through a three-stage smoothing process, producing a natural, flowing curve that is aesthetically aligned with price movement.
This makes it ideal for traders who need a quick visual context before acting on signals from other tools.
While Filter Wave+ does not generate buy/sell signals directly, its secure and efficient design allows it to serve as a high-confidence trend filter in any trading system.
4. Key Advantages
🌊 Smooth, Dynamic Wave Output
3-stage smoothed curves give clean, flowing visual feedback on market conditions.
🎨 Trend Strength Visualized by Color Intensity
Stronger trends appear with more solid coloring, while weak/neutral trends fade visually.
🔍 Quantitative Trend Detection
Linear regression ordering delivers precise, math-based trend scoring for confidence assessment.
📊 Price-Synced Floating Wave
Wave is dynamically positioned based on ATR and price to align naturally with market structure.
🧩 Compatible with Any Strategy
No conflicting signals—Filter Wave+ serves as a directional overlay that enhances clarity.
🔒 Secure Core Logic
Core algorithm is lightweight and secure, with minimal code exposure and strong encapsulation.
📘 Indicator User Guide
📌 Basic Concept
Filter Wave+ calculates trend direction and intensity using linear regression alignment over time.
The resulting wave is rendered as a smoothed curve, colored based on trend direction (green for up, red for down, gray for neutral), and adjusted in transparency to reflect trend strength.
This allows for fast trend interpretation without overwhelming the chart with signals.
⚙️ Settings Explained
Lookback Period: Number of bars used for pairwise regression comparisons (higher = smoother detection)
Range Tolerance (%): Threshold to qualify as an up/down trend (lower = more sensitive)
Regression Source: The price input used in regression calculation (default: close)
Linear Regression Length: The period used for the core regression line
Bull/Bear Color: Customize the color for bullish and bearish waves
📈 Timing Example
Wave color changes to green and becomes more visible (less transparent)
Wave floats above price and aligns with an uptrend
Use as trend confirmation when other signals are present
📉 Timing Example
Wave shifts to red and darkens, floating below the price
Regression direction down; price continues beneath the wave
Acts as bearish confirmation for short trades or risk-off positioning
🧪 Recommended Use Cases
Use as a trend confidence overlay on your existing strategies
Especially useful in swing trading for detecting and confirming dominant market direction
Combine with RSI, MACD, or price action for high-accuracy setups
🔒 Precautions
This is not a signal generator—intended as a trend filter or directional guide
May respond slightly slower in volatile reversals; pair with responsive indicators
Wave position is influenced by ATR and price but does not represent exact entry/exit levels
Parameter optimization is recommended based on asset class and timeframe
Ultimate Multi-Asset Correlation System by able eiei Ultimate Multi-Asset Correlation System - User Guide
Overview
This advanced TradingView indicator combines WaveTrend oscillator analysis with comprehensive multi-asset correlation tracking. It helps traders understand market relationships, identify regime changes, and spot high-probability trading opportunities across different asset classes.
Key Features
1. WaveTrend Oscillator
Main Signal Lines: WT1 (blue) and WT2 (red) plot momentum and its moving average
Overbought/Oversold Zones: Default levels at +60/-60
Cross Signals:
🟢 Bullish: WT1 crosses above WT2 in oversold territory
🔴 Bearish: WT1 crosses below WT2 in overbought territory
Higher Timeframe (HTF) Analysis: Shows WT1 from 4H, Daily, and Weekly timeframes for trend confirmation
2. Multi-Asset Correlation Tracking
Monitors relationships between:
Major Assets: Gold (XAUUSD), Dollar Index (DXY), US 10-Year Yield, S&P 500
Crypto Assets: Bitcoin, Ethereum, Solana, BNB
Cross-Asset Analysis: Correlation between traditional markets and crypto
3. Market Regime Detection
Automatically identifies market conditions:
Risk-On: High correlation + positive sentiment (🟢 Green background)
Risk-Off: High correlation + negative sentiment (🔴 Red background)
Crypto-Risk-On: Strong crypto correlations (🟠 Orange background)
Low-Correlation: Divergent market behavior (⚪ Gray background)
Neutral: Mixed signals (🟡 Yellow background)
How to Use
Basic Setup
Add to Chart: Apply the indicator to any chart (works on all timeframes)
Choose Display Mode (Display Options):
All: Shows everything (recommended for comprehensive analysis)
WaveTrend Only: Focus on momentum signals
Correlation Only: View market relationships
Heatmap Only: Simplified correlation view
Enable Asset Groups:
✅ Major Assets: Traditional markets (stocks, bonds, commodities)
✅ Crypto Assets: Digital currencies
Mix and match based on your trading focus
Reading the Charts
WaveTrend Section (Bottom Panel)
Above 0 = Bullish momentum
Below 0 = Bearish momentum
Above +60 = Overbought (potential reversal)
Below -60 = Oversold (potential bounce)
Lighter lines = Higher timeframe trends
Correlation Histogram (Colored Bars)
Blue bars: Major asset correlations
Orange bars: Crypto correlations
Purple bars: Cross-asset correlations
Bar height: Correlation strength (-50 to +50 scale)
Background Color
Intensity reflects correlation strength
Color shows market regime
Dashboard Elements
🎯 Market Regime Analysis (Top Left)
Current Regime: Overall market condition
Average Correlation: Strength of relationships (0-1 scale)
Risk Sentiment: -100% (risk-off) to +100% (risk-on)
HTF Alignment: Multi-timeframe trend agreement
Signal Quality: Confidence level for current signals
📊 Correlation Matrix (Top Right)
Shows correlation values between asset pairs:
1.00: Perfect positive correlation
0.75+: Strong correlation (🟢 Green)
0.50+: Medium correlation (🟡 Yellow)
0.25+: Weak correlation (🟠 Orange)
Below 0.25: Negative/no correlation (🔴 Red)
🔥 Correlation Heatmap (Bottom Right)
Visual matrix showing:
Gold vs. DXY, BTC, ETH
DXY vs. BTC, ETH
BTC vs. ETH
Color-coded strength
📈 Performance Tracker (Bottom Left)
Tracks individual asset momentum:
WT1 Values: Current momentum reading
Status: OB (overbought) / OS (oversold) / Normal
Trading Strategies
1. High-Probability Trend Following
✅ Entry Conditions:
WaveTrend bullish/bearish cross
HTF Alignment matches signal direction
Signal Quality > 70%
Correlation supports direction
2. Regime Change Trading
🎯 Watch for regime shifts:
Risk-Off → Risk-On = Consider long positions
High correlation → Low correlation = Reduce position size
Crypto-Risk-On = Focus on crypto longs
3. Divergence Trading
🔍 Look for:
Strong correlation breakdown = Potential volatility
Cross-asset correlation surge = Follow the leader
Volume-price correlation extremes = Trend confirmation
4. Overbought/Oversold Reversals
⚡ Trade reversals when:
WT crosses in extreme zones (-60/+60)
HTF alignment shows opposite trend weakening
Correlation confirms mean reversion setup
Customization Tips
Fine-Tuning Parameters
WaveTrend Core:
Channel Length (10): Lower = more sensitive, Higher = smoother
Average Length (21): Adjust for your timeframe
Correlation Settings:
Length (50): Longer = more stable, Shorter = more responsive
Smoothing (5): Reduce noise in correlation readings
Market Regime:
Risk-On Threshold (0.6): Lower = earlier regime signals
High Correlation Threshold (0.75): Adjust sensitivity
Custom Asset Selection
Replace default symbols with your preferred markets:
Major Assets: Any forex, indices, bonds
Crypto: Any digital currencies
Must use correct exchange prefix (e.g., BINANCE:BTCUSDT)
Alert System
Enable "Advanced Alerts" to receive notifications for:
✅ Market regime changes
✅ Correlation breakdowns/surges
✅ Strong signals with high correlation
✅ Extreme volume-price correlation
✅ Complete HTF alignment
Correlation Interpretation Guide
ValueMeaningTrading Implication+0.75 to +1.0Strong positiveAssets move together+0.5 to +0.75Moderate positiveGenerally aligned+0.25 to +0.5Weak positiveLoose relationship-0.25 to +0.25No correlationIndependent movements-0.5 to -0.25Weak negativeSlight inverse relationship-0.75 to -0.5Moderate negativeTend to move opposite-1.0 to -0.75Strong negativeStrongly inversely correlated
Best Practices
Use Multiple Timeframes: Check HTF alignment before trading
Confirm with Correlation: Strong signals work best with supportive correlations
Watch Regime Changes: Adjust strategy based on market conditions
Volume Matters: Enable volume-price correlation for confirmation
Quality Over Quantity: Trade only high-quality setups (>70% signal quality)
Common Patterns to Watch
🔵 Risk-On Environment:
Gold-BTC positive correlation
DXY negative correlation with risk assets
High crypto correlations
🔴 Risk-Off Environment:
Flight to safety (Gold up, stocks down)
DXY strength
Correlation breakdowns
🟡 Transition Periods:
Low correlation across assets
Mixed HTF signals
Use caution, reduce position sizes
Technical Notes
Calculation Period: Uses HLC3 (average of high, low, close)
Correlation Window: Rolling correlation over specified length
HTF Data: Accurately calculated using security() function
Performance: Optimized for real-time calculation on all timeframes
Support
For optimal performance:
Use on 15-minute to daily timeframes
Enable only needed asset groups
Adjust correlation length based on trading style
Combine with your existing strategy for confirmation
Enjoy comprehensive multi-asset analysis! 🚀
Dynamic 15-Ticker Dashboard • Real-Time ▲▼ Arrows • 2025Dynamic 15-Ticker Dashboard • Real-Time ▲▼ Arrows • 2025 Edition
Free • Fully Open Source • Stable and Mobile-Friendly
The cleanest, most reliable multi-ticker dashboard you will ever add — zero collapsing, zero lag, works on mobile too.
Features
• SPY always pinned at the top
• Add up to 14 of your own tickers (just type → instantly appears)
• Live price + direction arrows (▲ ▼) with automatic green/red coloring
• RSI(14) with momentum arrows
• Volume auto-formatted (K / M / B) with change arrows
• 15 rows 100% stable — no disappearing table bug
• Alternating dark rows for easy reading
• Real-time updates on any timeframe
Perfect for day traders, swing traders, or anyone who wants a consolidated watchlist without switching charts constantly.
How to use
Add to chart
Type your tickers in the settings (leave blank to hide)
Done — enjoy the clean, organized watchlist
Zero requests, zero repainting, zero drama.
Made for traders, by traders ♥
Open source — feel free to modify, share, or improve.
If you like it, leave a comment and hit the ♥ button.
Enjoy the view!
Kernel Channel [BackQuant]Kernel Channel
A non-parametric, kernel-weighted trend channel that adapts to local structure, smooths noise without lagging like moving averages, and highlights volatility compressions, expansions, and directional bias through a flexible choice of kernels, band types, and squeeze logic.
What this is
This indicator builds a full trend channel using kernel regression rather than classical averaging. Instead of a simple moving average or exponential weighting, the midline is computed as a kernel-weighted expectation of past values. This allows it to adapt to local shape, give more weight to nearby bars, and reduce distortion from outliers.
You can think of it as a sliding local smoother where you define both the “window” of influence (Window Length) and the “locality strength” (Bandwidth). The result is a flexible midline with optional upper and lower bands derived from kernel-weighted ATR or kernel-weighted standard deviation, letting you visualize volatility in a structurally consistent way.
Three plotting modes help demonstrate this difference:
When the midline is shown alone, you get a smooth, adaptive baseline that behaves almost like a regression moving average, as shown in this view:
When full channels are enabled, you see how standard deviation reacts to local structure with dynamically widening and tightening bands, a mode illustrated here:
When ATR mode is chosen instead of StdDev, band width reflects breadth of movement rather than variance, creating a volatility-aware envelope like the example here:
Why kernels
Classical moving averages allocate fixed weights. Kernels let the user define weighting shape:
Epanechnikov — emphasizes bars near the current bar, fades fast, stable and smooth.
Triangular — linear decay, simple and responsive.
Laplacian — exponential decay from the current point, sharper reactivity.
Cosine — gentle periodic decay, balanced smoothness for trend filters.
Using these in combination with a bandwidth parameter gives fine control over smoothness vs responsiveness. Smaller bandwidths give sharper local sensitivity, larger bandwidths give smoother curvature.
How it works (core logic)
The indicator computes three building blocks:
1) Kernel-weighted midline
For every bar, a sliding window looks back Window Length bars. Each bar in this window receives a kernel weight depending on:
its index distance from the present
the chosen kernel shape
the bandwidth parameter (locality)
Weights form the denominator, weighted values form the numerator, and the resulting ratio is the kernel regression mean. This midline is the central trend.
2) Kernel-based width
You choose one of two band types:
Kernel ATR — ATR values are kernel-averaged, producing a smooth, volatility-based width that is not dependent on variance. Ideal for directional trend channels and regime separation.
Kernel StdDev — local variance around the midline is computed through kernel weighting. This produces a true statistical envelope that narrows in quiet periods and widens in noisy areas.
Width is scaled using Band Multiplier , controlling how far the envelope extends.
3) Upper and lower channels
Provided midline and width exist, the channel edges are:
Upper = midline + bandMult × width
Lower = midline − bandMult × width
These create smooth structures around price that adapt continuously.
Plotting modes
The indicator supports multiple visual styles depending on what you want to emphasize.
When only the midline is displayed, you get a pure kernel trend: a smooth regression-like curve that reacts to local structure while filtering noise, demonstrated here: This provides a clean read on direction and slope.
With full channels enabled, the behavior of the bands becomes visible. Standard deviation mode creates elastic boundaries that tighten during compressions and widen during turbulence, which you can see in the band-focused demonstration: This helps identify expansion events, volatility clusters, and breakouts.
ATR mode shifts interpretation from statistical variance to raw movement amplitude. This makes channels less sensitive to outliers and more consistent across trend phases, as shown in this ATR variation example: This mode is particularly useful for breakout systems and bar-range regimes.
Regime detection and bar coloring
The slope of the midline defines directional bias:
Up-slope → green
Down-slope → red
Flat → gray
A secondary regime filter compares close to the channel:
Trend Up Strong — close above upper band and midline rising.
Trend Down Strong — close below lower band and midline falling.
Trend Up Weak — close between midline and upper band with rising slope.
Trend Down Weak — close between lower band and midline with falling slope.
Compression mode — squeeze conditions.
Bar coloring is optional and can be toggled for cleaner charts.
Squeeze logic
The indicator includes non-standard squeeze detection based on relative width , defined as:
width / |midline|
This gives a dimensionless measure of how “tight” or “loose” the channel is, normalized for trend level.
A rolling window evaluates the percentile rank of current width relative to past behavior. If the width is in the lowest X% of its last N observations, the script flags a squeeze environment. This highlights compression regions that may precede breakouts or regime shifts.
Deviation highlighting
When using Kernel StdDev mode, you may enable deviation flags that highlight bars where price moves outside the channel:
Above upper band → bullish momentum overextension
Below lower band → bearish momentum overextension
This is turned off in ATR mode because ATR widths do not represent distributional variance.
Alerts included
Kernel Channel Long — midline turns up.
Kernel Channel Short — midline turns down.
Price Crossed Midline — crossover or crossunder of the midline.
Price Above Upper — early momentum expansion.
Price Below Lower — downward volatility expansion.
These help automate regime changes and breakout detection.
How to use it
Trend identification
The midline acts as a bias filter. Rising midline means trend strength upward, falling midline means downward behavior. The channel width contextualizes confidence.
Breakout anticipation
Kernel StdDev compressions highlight areas where price is coiling. Breakouts often follow narrow relative width. ATR mode provides structural expansion cues that are smooth and robust.
Mean reversion
StdDev mode is suitable for fade setups. Moves to outer bands during low volatility often revert to the midline.
Continuation logic
If price breaks above the upper band while midline is rising, the indicator flags strong directional expansion. Same logic for breakdowns on the lower band.
Volatility characterization
Kernel ATR maps raw bar movements and is excellent for identifying regime shifts in markets where variance is unstable.
Tuning guidance
For smoother long-term trend tracking
Larger window (150–300).
Moderate bandwidth (1.0–2.0).
Epanechnikov or Cosine kernel.
ATR mode for stable envelopes.
For swing trading / short-term structure
Window length around 50–100.
Bandwidth 0.6–1.2.
Triangular for speed, Laplacian for sharper reactions.
StdDev bands for precise volatility compression.
For breakout systems
Smaller bandwidth for sharp local detection.
ATR mode for stable envelopes.
Enable squeeze highlighting for identifying setups early.
For mean-reversion systems
Use StdDev bands.
Moderate window length.
Highlight deviations to locate overextended bars.
Settings overview
Kernel Settings
Source
Window Length
Bandwidth
Kernel Type (Epanechnikov, Triangular, Laplacian, Cosine)
Channel Width
Band Type (Kernel ATR or Kernel StdDev)
Band Multiplier
Visuals
Show Bands
Color Bars By Regime
Highlight Squeeze Periods
Highlight Deviation
Lookback and Percentile settings
Colors for uptrend, downtrend, squeeze, flat
Trading applications
Trend filtering — trade only in direction of the midline slope.
Breakout confirmation — expansion outside the bands while slope agrees.
Squeeze timing — compression periods often precede the next directional leg.
Volatility-aware stops — ATR mode makes channel edges suitable for adaptive stop placement.
Structural swing mapping — StdDev bands help locate midline pullbacks vs distributional extremes.
Bias rotation — bar coloring highlights when regime shifts occur.
Notes
The Kernel Channel is not a signal generator by itself, but a structural map. It helps classify trend direction, volatility environment, distribution shape, and compression cycles. Combine it with your entry and exit framework, risk parameters, and higher-timeframe confirmation.
It is designed to behave consistently across markets, to avoid the bluntness of classical averages, and to reveal subtle curvature in price that traditional channels miss. Adjust kernel type, bandwidth, and band source to match the noise profile of your instrument, then use squeeze logic and deviation highlighting to guide timing.
Bollinger Band with Clouds, MA, and Selectable Buy/Sell AlertsBollinger Bands + Clouds + Multi-TF Signals — All in One Open-Source Indicator
This open-source indicator combines multiple technical tools into a single, flexible charting solution — giving traders clear context and the ability to customize or build upon the code. Perfect for intraday, swing, or longer-term analysis.
What it includes:
NMA (Normalized Moving Average): Adaptive, multi-length moving average for trend visualization.
VWAP: Volume-weighted average price for intraday anchoring.
Bollinger Bands: Customizable upper/lower bands with baseline and fill, providing dynamic volatility context.
Hull Moving Average + Kalman Filter: Smoothed trend detection with optional buy/sell shapes on crossovers.
Multi-Timeframe EMAs: Short, medium, and long-term EMAs from multiple timeframes, all in one view.
RSI & ATR: Optional visibility to track momentum and volatility.
Customizable Colors & Transparency: Every line, fill, and shape can be adjusted independently.
Selectable Buy/Sell Alerts: Configurable shapes and TradingView alert conditions for strategy observation.
Why you’ll love it:
Fully open-source: inspect, modify, and adapt the code for your own analysis.
Clean, informative visualizations that consolidate multiple indicators without cluttering your chart.
Flexible for intraday, swing, or longer-term timeframes.
Team Player Friendly:
This script is intentionally published as open-source to support the TradingView community. All code is fully visible — no proprietary sections — so anyone can learn from, modify, and contribute to the indicator.
Disclaimer:
This indicator is for informational purposes only. It does not constitute financial, trading, or investment advice. Users should conduct their own analysis before making trading decisions.
Continuation / Reversal Sweep (WMA trend)marks hh ll
reversals
continuiation
htf analyisis to enter in ltf
Oracle Pivot Engine (OPE) — @darshaksscThe Oracle Pivot Engine (OPE) is a market-structure visualization tool that derives all its levels exclusively from historical price data — specifically, the previous day’s high, low, and mid-range.
It does not provide signals, alerts, entries, exits, predictions, or trade recommendations.
Instead, it creates a non-repainting reference framework that helps users observe how the current session interacts with the prior session’s completed price structure.
All calculations are analytical, static, and based on fully closed candles.
🧠 How It Works (Core Logic Explained)
OPE computes the following values from the completed prior daily candle:
Prior-Day High
Prior-Day Low
Prior-Day Midpoint
Displacement Range = High − Low
This displacement range is used to generate symmetrical upward and downward reference zones.
These levels do not update during the session.
They refresh only once per day when a new daily candle closes.
This ensures the indicator remains fully non-repainting and stable on every intraday chart.
📐 Reference Levels Generated
Using the fixed prior-day displacement range, OPE plots:
1. BUY-Side Reference Map (Upward Bias)
BUY Reference Entry
BUY Reference Stop
BUY T1
BUY T2
BUY T3
BUY T4
BUY T5
BUY T6
These are not trade signals — they are mathematical extensions above the prior-day midpoint for structural interpretation only.
2. SELL-Side Reference Map (Downward Bias)
SELL Reference Entry
SELL Reference Stop
SELL T1
SELL T2
SELL T3
SELL T4
SELL T5
SELL T6
Again, these levels are not directives.
They are mirrored displacement extensions below the prior-day midpoint.
📊 Pivot Zone & Bands
The indicator includes optional visual layers derived from the same prior-day pivots:
Pivot High–Low Zone Shading → shows the prior-day full range
Pivot Midline → prior-day mid-price
Outer Displacement Bands → extended contextual boundaries
These are purely visual boundaries meant to improve market context.
🧾 Dashboard / HUD Explanation
A compact on-chart HUD summarizes all values.
It displays:
Section | Information (All Historical)
Prior-Day Pivots | High, Low, Mid, Range
BUY Map | Entry, Stop, T1–T6
SELL Map | Entry, Stop, T1–T6
The HUD allows you to quickly review:
Where the current price is relative to the previous day’s structure
How far price is from each level
Whether the session is operating inside or outside the prior-day displacement zones
Everything shown is static, non-repainting , and for reference only .
📊 How to Analyze It
✔ 1. Contextual Awareness
OPE helps users visually compare current intraday price to prior daily structure.
You can observe whether price is:
Inside yesterday’s high/low zone
Above the prior-day displacement
Below the prior-day displacement
This offers a clearer understanding of daily context and volatility.
✔ 2. Structural Symmetry
The BUY-side and SELL-side maps extend from the same pivot logic.
This can help visualize:
Expansion away from the prior-day midpoint
Compression within the prior-day range
Symmetrical displacement around key reference levels
Again — these are observational insights , not signals.
✔ 3. Range Interaction
As the session unfolds, users often study:
How price reacts around prior-day midpoint
Whether price is gravitating toward or away from the displacement levels
How intraday swings behave within these historical boundaries
This type of analysis is contextual , not predictive.
⚠️ Important Disclosures
This script does NOT generate trading signals.
It does NOT predict future price movement.
It does NOT contain advice, instructions, recommendations, or strategies.
All levels are derived exclusively from historical daily candle data .
This is strictly an informational visualization tool meant to support chart analysis.
Past price levels do not guarantee any future price behavior.
🛑 Disclaimer
This indicator is provided solely for educational and informational purposes.
It should not be interpreted as financial advice or a call to action of any kind.
Users should apply independent judgment and discretion when analyzing markets.
