DEMA MACD BUY signal confirmationDEMA MACD – Trend Continuation Signals
Okay I made this script and wrote this description using AI. I was inspired by the HAP MACD indicator so I made signal confirmation indicator based on that.
This indicator is a momentum-based signal tool built around a DEMA MACD model.
It is designed to help identify potential continuation entries within an existing trend.
Important notes
This indicator works best in clear uptrend conditions.
It is not suitable for consolidation or downtrend markets.
Higher timeframes (Daily / Weekly) generally provide more reliable signals than lower timeframes.
Signals
BUY
Indicates a potential entry in the direction of the current trend.
SELL
Indicates an exit from the previous BUY.
This is not a short or sell-to-open signal.
Usage
Use this tool as a confirmation, not as a standalone decision maker.
Always consider overall market context and basic price structure.
Risk management is essential.
This indicator is shared for educational purposes and reflects one possible approach to trend continuation trading.
Osciladores
EDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring SystemEDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring System
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█ ORIGINALITY
This indicator combines QQE (Quantitative Qualitative Estimation) with HMA (Hull Moving Average) and introduces a unique AI-based scoring system that rates signal quality from 0-100. Unlike traditional QQE indicators that show simple buy/sell signals, this version categorizes signals into four strength levels: BIG CHANCE, SUPER, POWER, and STRONG.
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█ WHAT IT DOES
- Generates scored BUY/SELL signals with quality ratings (60-100 points)
- Categorizes signals into 4 strength levels for easy decision making
- Supports Multi-Timeframe (MTF) analysis
- Auto-detects asset type and applies optimized QQE factors
- Provides customizable alerts based on score thresholds
Signal Hierarchy:
- 💰 BIG CHANCE (90-100): Highest probability setups
- ⚡ SUPER (80-89): Very strong signals
- 🚀 POWER (70-79): Strong signals with HMA confluence
- 💪 STRONG (60-69): Standard quality signals
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█ HOW IT WORKS
【QQE Calculation】
QQE is based on a smoothed RSI with dynamic bands:
1. Calculate RSI with specified period (default: 14)
2. Apply EMA smoothing to RSI (Smoothing Factor, default: 5)
3. Calculate ATR of the smoothed RSI
4. Create dynamic bands: RSI ± (ATR × QQE Factor)
The QQE Factor is automatically adjusted per asset:
- Forex (USDJPY, EURUSD): 3.8 - 4.238
- Gold (XAUUSD): 8.0
- Crypto (BTC): 12.0, (ETH): 10.0
- Indices (NASDAQ): 4.238
【HMA Calculation】
Hull Moving Average for trend confirmation:
HMA = WMA(2 × WMA(price, n/2) - WMA(price, n), √n)
【Signal Generation】
- BUY: QQE crosses above its band (QQExlong == 1)
- SELL: QQE crosses below its band (QQExshort == 1)
【AI Scoring System】
The score is calculated from multiple factors:
Signal Base (0-35 points):
- QQE + HMA confluence: +35
- QQE or HMA alone: +25
QQE Strength (10-25 points):
- RSI distance from 50 (momentum strength)
- >30 distance: +25, >20: +20, >10: +15, else: +10
Volatility Score (-10 to +15 points):
- ATR ratio 1.1-2.0: +15 (optimal volatility)
- ATR ratio <0.8: -10 (low volatility warning)
Volume Confirmation (-5 to +15 points):
- Volume > 120% of average: +15
- Volume < 80% of average: -5
Base Points: +15
Final Score = Clamped(0, 100, sum of all factors)
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 5M, 15M, 1H, 4H
- Best on: Forex, Gold, NASDAQ, BTC/ETH
- Minimum Score: 60 (adjustable)
【Reading Signals】
- BIG CHANCE (Gold label, 90+): Highest conviction - consider larger position
- SUPER (Yellow label, 80-89): Very strong - standard position
- POWER (Cyan/Magenta label, 70-79): Strong with trend confirmation
- STRONG (Green/Red label, 60-69): Valid but use additional confirmation
【MTF Feature】
Enable MTF to analyze signals from a higher timeframe while viewing lower timeframe charts. The indicator auto-selects 5-minute as the analysis timeframe, or you can set it manually.
【Alert Setup】
1. Enable alerts in settings
2. Set minimum score threshold (default: 60)
3. Create alert with "Any alert() function call"
【Important Notes】
- Signals are confirmed at bar close (no repainting)
- Higher scores = higher probability, not guaranteed profits
- Always use proper risk management
- Consider market context and support/resistance levels
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█ SETTINGS
⏱️ MTF Settings
- MTF Use: Enable multi-timeframe analysis
- Manual Timeframe: Override auto-detection
- Show Panel: Display info panel (default: OFF)
🎨 Design
- Neon Colors: Vibrant color scheme
- Show HMA Line: Display HMA on chart
- Minimum Score: Filter weak signals
- Label Transparency: Adjust label opacity
- Large Labels: Mobile-friendly sizing
🔧 QQE Settings
- RSI Period: RSI calculation period
- Smoothing: EMA smoothing factor
- AI Score: Enable scoring system
🔔 Alerts
- Enable Alerts: Turn on/off notifications
- Minimum Score: Alert threshold
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█ CREDITS
QQE concept originally developed by John Ehlers.
HMA (Hull Moving Average) by Alan Hull.
Enhanced with scoring system and MTF support by EduVest.
License: Mozilla Public License 2.0
Weekly RSI - EMA BiasWEEKLY RSI - EMA BIAS
This indicator provides a rule-based weekly directional bias framework built using RSI and EMA conditions.
It is designed for traders who want a clear, structured view of bullish or bearish bias for the week, rather than frequent intraday signals.
The script focuses on bias identification and invalidation, not trade execution.
Core Concept
The indicator evaluates market conditions using:
EMA to define trend direction
RSI thresholds to confirm momentum strength
Weekly time structure to reduce noise and overtrading
Based on these inputs, the script identifies whether the market is in a Bullish, Bearish, or Neutral state for the current week.
How the Bias Works
Bias Initiation
A weekly bias can only begin on or after the selected “Bias Start Day”
A Bullish bias is established when:
Price is above the EMA
RSI is above the bullish threshold
A Bearish bias is established when:
Price is below the EMA
RSI is below the bearish threshold
Only one bias can be active at a time.
One Flip Per Week
Once a bias is active, the script allows at most one flip per week
A flip occurs when the opposite bias conditions are met
After a flip, the bias remains fixed until weekly exit
This rule is intentional and helps prevent overreaction to short-term volatility.
Bias Invalidation (Weekly Exit)
The active bias is invalidated at the configured “Bias End Day”
A holiday-safe mechanism ensures the bias is cleared even if the exit day is skipped due to a market holiday
After invalidation, the bias resets to neutral and waits for the next week
Visual Aids
Bullish / Bearish labels mark bias initiation and flips
Background highlights visually indicate:
Bias initiation
Weekly bias end
These visuals are designed to make weekly structure immediately clear on the chart
Intended Use
This script is intended to be used as:
A weekly directional bias guide
A decision-support layer for positional trading
A framework to align discretionary or rule-based strategies with higher-timeframe direction
It is not designed for intraday scalping or high-frequency trading.
Important Notes
Signals are evaluated on closed candles
Bias is evaluated on any timeframe, but the logic is weekly by design
Lower timeframes may produce more noise and are not recommended for interpretation
DISCLAIMER:
This script is provided for educational and informational purposes only.
It does not constitute investment or trading advice.
Users are responsible for their own trading decisions and risk management.
RSI Divergence Pro Price Overlay High-Prob v6RSI Divergence Pro — Comprehensive Usage Guide
1) What This Indicator Does (in plain English)
Goal: Detect high-probability reversal (and optionally continuation) points using RSI divergences, then draw clean visual lines on price (red/bearish, green/bullish) and attach a % Strength label to help you quickly decide if it’s worth trading.
Core logic:
• Finds confirmed peaks and valleys using ta.pivothigh and ta.pivotlow.
• Bearish: Price makes Higher High while RSI makes Lower High.
• Bullish: Price makes Lower Low while RSI makes Higher Low.
• Filters for high probability: RSI near OB/OS, min RSI diff, ATR scaling, pivot spacing.
• Draws lines on price chart and attaches % Strength label.
• Alerts trigger only when a new divergence line is drawn.
2) Inputs & What Each One Means
• RSI Period: Shorter = more reactive; longer = smoother.
• Pivot Left/Right: Controls peak/valley confirmation.
• RSI Overbought/Oversold: Default 60/40; tighten for lower TFs.
• Min RSI Divergence: Minimum difference between RSI pivots.
• ATR Length & Min Price Move vs ATR: Ensures structural change.
• Bars Between Pivots: Avoid micro noise and stale signals.
• Hidden Divergence toggle: OFF for reversal; ON for continuation.
3) The % Strength Label — What It Represents
Combines RSI divergence magnitude (60%), Price move vs ATR (30%), OB/OS proximity (10%).
Interpretation:
• 80–100%: A-grade signals.
• 60–79%: Good, tradable with confirmation.
• 40–59%: Caution.
• <40%: Usually skip.
4) High-Probability Trading Workflow (H1)
1. Step 1: Scan & identify the signal.
2. Step 2: Confirm with price action (structure break or engulfing).
3. Step 3: Entry (conservative or aggressive).
4. Step 4: Stop placement (pivot ±0.5×ATR).
5. Step 5: Take profit & management (TP1 1×ATR, TP2 2×ATR, trail).
5) Confluence & Filters
• EMA slope confirmation.
• Structure alignment with S/R zones.
• Volatility regime check.
6) Example Scenarios
• A) Bearish Classic Divergence: HH price + LH RSI, Strength 83%.
• B) Bullish Classic Divergence: LL price + HL RSI, Strength 68%.
• C) Hidden Bullish Divergence: HL price + LL RSI, Strength 75%.
7) Common Pitfalls & How to Avoid Them
• Forcing signals in dead volatility.
• Taking divergences in strong trends without confirmation.
• Ignoring pivot spacing.
8) Tuning for Your Style
• H1 defaults: RSI 10, pivots 5/5, thresholds 60/40.
• M15/M5: thresholds 65/35, min RSI diff 10–12.
• H4/D1: thresholds 58/42, ATR multiple 0.4–0.6.
9) Multi-Asset Notes
• FX majors: overlap session ideal.
• Indices: require engulfing confirmation.
• Crypto: use ATR multiple ≥0.7.
10) Alerts — How to Use Them
• Set alerts Once per bar close.
• Alert names: Bearish RSI Divergence, Bullish RSI Divergence.
11) Backtesting & Forward Testing
• Define rules: entry, stop, TP.
• Track Strength % bins.
12) Troubleshooting & Diagnostics
• No lines? Loosen thresholds.
• Too many lines? Tighten thresholds.
13) Quick Operator’s Checklist
• Signal present?
• Location near S/R?
• Confirmation present?
14) Future Upgrade Options
• Session filter (London–NY overlap).
• EMA slope confirmation.
• Structure-break confirmation.
• Alert text enhancements.
Simple RSI Strategy - Rule Based Higher Timeframe Trading
HOW IT WORKS
With the default settings, the strategy buys when RSI reaches 30 and closes when RSI reaches 40 .
That’s it.
A simple, rule-based mean reversion strategy designed for higher timeframes , where market noise is lower and trading becomes easier to manage.
Core logic:
Long when RSI moves into oversold territory
Exit when RSI mean-reverts upward
Optional short trades from overbought levels
One position at a time (no pyramiding)
No filters.
No discretion.
Just clear, testable rules.
MARKETS & TIMEFRAMES
This strategy is intended for:
Indices (Nasdaq, S&P 500, DAX, etc.)
Liquid futures and CFDs
Higher timeframes: 2H, 4H and Daily
The published example is Nasdaq (NDX) on the 2-hour timeframe .
Higher timeframes are strongly recommended.
HOW TO USE IT
Apply the strategy on a higher timeframe
Adjust RSI levels per market if needed
Use TradingView alerts to avoid constant screen-watching
Focus on execution, risk control, and consistency
This strategy is meant to be a building block , not a complete trading business on its own.
For long-term consistency, it works best when combined with other uncorrelated, rule-based systems.
IMPORTANT
This is not financial advice
All results are historical and not indicative of future performance
Always forward-test and apply proper risk management
For additional notes, setups and related systems, visit my TradingView profile page .
ULTIMATE SMC FUSION HIGHER TIME FRAMES🔥 ULTIMATE SMC FUSION ADAPTED FOR HIGH TIME FRAMES
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The high-performance, refined edition of the v4.1 Fusion suite. This Core version brings the signature "Balanced Entry" logic to your charts with enhanced HTF optimization and a zero-latency interface.
🚀 KEY FEATURES:
• BALANCED SIGNAL ENGINE: A proven mix of structure breaks and momentum-based institutional entries.
• HTF TURN DETECTION: Enhanced logic for Higher Timeframes to find major swing reversal opportunities.
• ON-CHART PERFORMANCE PANEL: Live tracking for win rates and growth stats to keep you in the flow.
• DYNAMIC ATR TARGETS: Take Profit and Stop Loss levels that adapt automatically to market volatility.
• OPTIMIZED SMC OVERLAYS: Clean, professional structure lines and order block visualizers.
• PURE LOCAL PROCESSING: No external API overhead—maximum responsiveness for fast decision making.
BEST FOR: Forex Scalp/Swing, Professional Charting, and Multi-Asset Analysis.
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Feel free to adjust the settings to your own needs.
Make your own decisions when you trade, do not put all confidence into a script, it may fail also.
[RoyalNeuron] RSI-SMA-PIVOT [WidowMaker v2.0]Hey guys 👋
Spent a bit of time tinkering with the original WidowMaker and figured the next logical step was adding price pivot, and honestly, it’s made a decent difference when you use it right.
Thinking out of the box here, and it looks good.
The core is still the same clean, zero-lag smoothed RSI (pick SMA or EMA) with green/red momentum histogram that helps you see real strength or weakness without all the usual rubbish.
What’s new in v2.0:
- Price pivots (high/low) now show up, but only when RSI is in the right zone
- Pivot High only appears when RSI > 65 (overbought area)
- Pivot Low only when RSI < 35 (oversold area)
- This filters out a ton of fake pivots and keeps things useful
Quick way I’ve been using it:
Look for overbought/oversold areas first (faint red/green shading helps spot them fast).
Then wait for the pivot to print in that zone.
If you time it correctly (with price action or structure), the combo works really nicely – especially on 1H and above.
It’s still 100% free, open-source, colours fully customisable, and I’m using it myself every day.
Would love your honest take: does the pivot filter help you? Any pairs/timeframes it shines on? Anything you’d change?
Cheers for checking it out – more updates coming soon!
© RoyalNeuron 2025 | Open Source (CC BY-NC-SA 4.0)
EDUVEST QQE Grade System - S/A/B/C Signal ClassificationEDUVEST QQE Grade System - S/A/B/C Signal Classification
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█ ORIGINALITY
This indicator introduces a unique grading system (S/A/B/C) for QQE signals, combining traditional QQE analysis with SMC (Smart Money Concepts) price zones and trading session filters. Unlike standard QQE indicators that show all signals equally, this version classifies signals by quality to help traders focus on the highest probability setups.
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█ WHAT IT DOES
- Generates BUY/SELL signals with S/A/B/C grade classification
- Automatically detects asset type and applies optimized QQE factors
- Integrates SMC price zones (support/resistance) for grade enhancement
- Filters signals by trading session time
- Displays real-time session and market status
Grade Hierarchy:
- S (Gold/Orange): Signal near SMC zone + active trading hours - Highest quality
- A (Green/Red): Score 70+ during trading hours - High quality
- B (Darker): Score 50-69 during trading hours - Medium quality
- C (Gray, small): Outside trading hours or weak signal - Low quality
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█ HOW IT WORKS
【QQE Core Calculation】
The QQE (Quantitative Qualitative Estimation) is calculated as:
1. RSI with configurable period (default: 14)
2. EMA smoothing of RSI (Smoothing Factor: 5)
3. Dynamic bands using Wilder's smoothing: RSI ± (ATR of RSI × QQE Factor)
QQE Factor is auto-adjusted per asset:
- USD/JPY: 4.238
- EUR/USD: 3.8
- Gold (XAU/USD): 8.0
- NASDAQ/US100: 9.0
【Signal Generation】
- BUY: QQE line crosses above its trailing stop (QQExlong == 1)
- SELL: QQE line crosses below its trailing stop (QQExshort == 1)
【Internal Scoring System】
Score components (0-100):
- Signal Base: +25 points when signal occurs
- QQE Strength: +10 to +20 based on RSI distance from 50
- Volatility: +15 (optimal ATR ratio 1.1-2.0), -10 (low volatility)
- Volume Confirmation: +10 (high volume), -5 (low volume)
- Session Bonus: +5 during London/NY sessions
- Base: +20 points
【Grade Assignment】
- Grade S: Signal near user-defined SMC price zone (within tolerance %) AND during trading hours
- Grade A: Internal score >= 70 AND during trading hours
- Grade B: Internal score >= 50 AND during trading hours
- Grade C: Outside trading hours OR score < 50
【SMC Price Zone Integration】
Users can set support/resistance levels for each asset. When price is within the tolerance percentage of these levels, signals are upgraded to S-grade, indicating confluence with institutional price levels.
【Trading Session Filter】
Configurable active trading hours (JST timezone):
- Default: 15:00 - 01:00 JST (London + NY overlap)
- Signals outside this window receive C-grade
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H
- Best on: USD/JPY, EUR/USD, Gold, NASDAQ
- Focus on: S and A grade signals
【Trading Strategy】
- S-Grade (Gold/Orange): Highest conviction - consider larger position
- A-Grade (Green/Red): Strong signal - standard position
- B-Grade: Valid but use additional confirmation
- C-Grade: Avoid or use minimal size
【Setting Up SMC Zones】
1. Identify key support/resistance on higher timeframe
2. Input prices in SMC Price Settings
3. Adjust tolerance % (default: 0.15%)
4. S-grade appears when signal occurs near these levels
【Info Panel】
Top-right panel shows:
- Asset name and detection mode (Auto/Manual)
- Current session (Tokyo/London/NY)
- Trading hours status
- SMC zone proximity
【Alert Setup】
1. Enable alerts in settings
2. Create alert with "Any alert() function call"
3. Alerts include grade, price, and session info
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█ SETTINGS
Basic Settings:
- Enable Alerts: Turn on/off notifications
- Time Filter: Activate trading hour filter
- Start/End Hour: Define active trading window (JST)
QQE Settings:
- RSI Period: RSI calculation period
- RSI Smoothing: EMA smoothing factor
- Auto QQE Factor: Auto-detect optimal factor per asset
- Manual QQE Factor: Override when auto is disabled
SMC Price Settings:
- Support/Resistance levels for each asset
- Tolerance %: How close to SMC line for S-grade
Display Settings:
- Grade Only: Hide QQE lines, show only signals
- Show SMC Lines: Display support/resistance on chart
- Show Debug: Display asset detection info
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█ CREDITS
QQE concept originally developed by John Ehlers.
SMC (Smart Money Concepts) integration and grading system by EduVest.
License: Mozilla Public License 2.0
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection
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█ ORIGINALITY
This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets.
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█ WHAT IT DOES
- Generates BUY/SELL signals using machine learning classification
- Displays kernel regression estimate for trend visualization
- Shows prediction values on each bar
- Provides trade statistics (Win Rate, W/L Ratio)
- Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA)
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█ HOW IT WORKS
【Lorentzian Distance Calculation】
Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation:
d = Σ log(1 + |xi - yi|)
This provides:
- Better handling of outliers
- More stable distance measurements
- Reduced sensitivity to extreme values
【Feature Engineering】
The classifier uses up to 5 configurable features:
- RSI (Relative Strength Index)
- WT (WaveTrend)
- CCI (Commodity Channel Index)
- ADX (Average Directional Index)
Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions.
【k-Nearest Neighbors Classification】
1. Calculate Lorentzian distance between current bar and historical bars
2. Find k nearest neighbors (default: 8)
3. Sum predictions from neighbors
4. Generate signal based on prediction sum (>0 = Long, <0 = Short)
【Kernel Regression】
Uses Rational Quadratic kernel for smooth trend estimation:
- Lookback Window: 8
- Relative Weighting: 8
- Regression Level: 25
【Filters】
- Volatility Filter: Filters signals during extreme volatility
- Regime Filter: Identifies market regime using threshold
- ADX Filter: Confirms trend strength
- EMA/SMA Filter: Trend direction confirmation
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H, Daily
- Neighbors Count: 8 (default)
- Feature Count: 5 for comprehensive analysis
【Signal Interpretation】
- Green BUY label: Long entry signal
- Red SELL label: Short entry signal
- Bar colors: Green (bullish) / Red (bearish) prediction strength
【Trade Statistics Panel】
- Winrate: Historical win percentage
- Trades: Total (Wins|Losses)
- WL Ratio: Win/Loss ratio
- Early Signal Flips: Premature signal changes
【Filter Recommendations】
- Enable Volatility Filter for ranging markets
- Enable Regime Filter for trend confirmation
- Use EMA Filter (200) for higher timeframes
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█ CREDITS
Original Lorentzian Classification concept and MLExtensions library by jdehorty.
Enhanced with visual modifications and alert integration by EduVest.
License: Mozilla Public License 2.0
ULTIMATE SMC FUSION 💎 ULTIMATE SMC FUSION
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A premier Smart Money Concepts (SMC) indicator that masterfully combines multi-dimensional structure analysis with precision momentum filtering. This edition is optimized for manual SMC traders looking for clarity and performance.
🚀 KEY FEATURES:
• FULL SMC SUITE: Automated Break of Structure (BOS) and Change of Character (CHoCH) detection.
• HTF ADAPTIVITY: Fine-tuned logic specifically for $30m$, $1h$, and $4h$ charts to catch the major institutional moves.
• PRECISION REVERSAL ENGINE: Advanced detection for Pinbar and Engulfing patterns at key liquidity zones.
• SMART SCORING SYSTEM: Integrated analysis of ADX (Trend Strength), RSI (Momentum), and Volume.
• ZERO-API ARCHITECTURE: Streamlined for maximum efficiency on your local TradingView terminal.
• 2026 V2026 VISUALS: Modern, premium interface with glassmorphic stats and high-contrast signals.
BEST FOR: SMC Traders, Prop Firm Challenges, and High-Precision Analysis.
Feel free to adjust the settings to your own needs.
Do not put your full confidence into a script, make your own decisions allways.
Trade at your own risk.
Guac's MAs, BBs, and ADX (SMA/EMA/BB + ADX/DI + Daily ATR)As someone who browses through numerous TradingView scripts, I find many ideas/functions that I find useful. However, sometimes I find certain features that I don't find useful or that could be added to make something more useful. Because of this I designed this script to collectively encompass functionality of the items/indicators I find useful when looking at an index/equity chart.
This script was desgined/inspired to keep the chart clean while providing signal context for trend, volatility, price action, and regime conditions.
Summary of what this script does:
Plots a compact, customizable set of SMAs + EMAs for structure and trend layering.
Adds Bollinger Bands with expansion/contraction coloring to visualize volatility state.
Optionally overlays ADX/DI regime context, including:
• an ADX-based “regime fill” (temperature-style colors) on the BB fill
• optional DI+ / DI- cross markers for directional shift awareness
• expanded ADX regime labels (Dead Chop → Very Strong/Extended)
• optional “ADX momentum” (smoothed ADX slope) in the status label to show regime acceleration/decay
Provides a small corner “Regime Status Label” that summarizes ADX regime (with numeric ADX) when enabled.
Optionally appends Daily ATR (value + momentum) to the same label for range/volatility context that is consistent across intraday timeframes.
I always find it frustrating when I am testing or playing with someones indicator and they don't have tooltips implemented so that I can understand the purpose of their parameters and the inputs. I have specifically tried to implement tooltip info bubbles next to every parameter input to give a short explanation of the parameter and it's purpose
EMA Angle Average by Eric ValerianoThis indicator determines market direction by calculating the angle of an exponential moving average and smoothing that angle over several bars. By averaging the EMA’s slope, it reduces noise and clearly classifies the market as bullish, bearish, or neutral based on trend strength rather than short term price fluctuations.
It is best used as a trend filter to confirm direction, avoid choppy conditions, and add context to entries based on other signals such as pullbacks, breakouts, or momentum setups.
MACD-V (ATR Normalized)Per Financial Wisdom (YT):
Adjusted MACD = (EMA 12 - EMA 26 / ATR 26) x 100
Objective:
Mathematical definitions work universally across all markets and all timeframes
Improves readability and usability (values resemble RSI/MACD ranges instead of tiny decimals)
Makes threshold-based rules cleaner (e.g., ±50, ±100).
No change to signal quality — purely a scaling transformation.
Multi Asset + Multi Timeframe DashboardMulti Asset + Multi Timeframe Dashboard
Overview
This indicator is a multi-asset, multi-timeframe trend dashboard designed to provide a fast, structured overview of market direction across several instruments and timeframes at once.
It combines five major assets with four configurable higher timeframes, evaluating each using a fixed set of 10 widely used technical indicators. The results are aggregated into a clear overall trend arrow, allowing traders to quickly assess alignment or divergence without chart clutter.
What This Indicator Does
For each symbol and timeframe, the script evaluates the following technical components:
EMA trend structure (20 / 50 / 200)
MACD line direction
MACD histogram polarity
RSI relative to its moving average
RSI above/below 50
Stochastic K vs D
Commodity Channel Index (CCI)
Awesome Oscillator (AO)
Each component contributes a bullish (+1), bearish (−1), or neutral (0) score.
All scores are aggregated into a single overall trend direction, displayed as:
▲ Uptrend
▼ Downtrend
✖ Neutral / Mixed
This process is repeated across four independent timeframes, giving a compact, multi-timeframe trend overview per asset.
Key Features
Multi-Asset Dashboard
Monitor multiple markets simultaneously from a single table.
Multi-Timeframe Analysis
Four independently selectable timeframes per symbol.
Indicator Aggregation Logic
Combines multiple classic indicators into a single directional signal.
Non-Intrusive Display
Table-based output keeps the chart clean and readable.
Who This Indicator Is For
This tool is designed for traders who want:
A high-level trend overview across assets
Multi-timeframe confirmation
Clear directional signals without stacking many indicators
Immediate notification of meaningful trend changes
It is not a standalone trading system, but a decision-support and market-context tool.
Usage Notes
The table display is optimized for 1-minute to 5-minute charts due to TradingView table rendering limits.
The indicator is intended for analysis and alerting, not automated execution.
All logic is transparent and based on well-known technical indicators.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice. Always combine it with proper risk management and independent analysis.
Vix FIX dotsDescription
Vix FIX Dots is a momentum and volatility-based trend-following tool. It combines the classic Williams VIX Fix logic with Stochastic and RSI filters to identify high-probability reversal points and trend exhaustion.
Unlike the standard VIX Fix which is often displayed in a separate pane, this script overlays signals directly onto your chart as colorful dots to simplify the decision-making process.
How it Works
The script calculates the "Synthetic VIX" (Williams VIX Fix) to find market bottoms and volatility peaks. To reduce noise and false signals, it incorporates price action filters and trend-strength lookbacks.
Signal Guide
The indicator plots four distinct types of dots:
Green Circle (Below Bar): Filtered Long Entry. This represents a standard buy signal where volatility has peaked and price action confirms a move up.
Blue Circle (Below Bar): Aggressive Long Entry. A faster signal for traders looking to catch a move earlier, based on multi-candle lookbacks.
Red Circle (Above Bar): Filtered Exit/Short. Indicates a standard trend exhaustion point.
Orange Circle (Above Bar): Aggressive Exit/Short. A faster signal indicating the trend may be rolling over.
Key Features
Volatility Bands: Uses Bollinger Bands and Percentile calculations on the VIX Fix to identify extreme exhaustion.
Price Action Filter: Signals only trigger if the current close outperforms a user-defined number of previous bars.
Customizable Lookbacks: Fully adjustable settings for Stochastic and RSI filters to match your specific timeframe (M5, H1, D1, etc.).
DERYA Dynamic Efficiency Regime Yield AnalyzerDERYA: Dynamic Efficiency Regime Yield Analyzer
Mathematical Concept and Problem Statement
Most traditional trend and momentum indicators (e.g., RSI, ADX, MACD) focus on price displacement across a series of bars. However, they are mathematically "blind" to the internal structure of each individual bar. The DERYA indicator solves the "Velocity Trap" and "Lagging Confirmation" issues by shifting the measurement space from price displacement to intrabar efficiency. It quantifies the ratio between net price progress and the total effort (range) expended within the bar.
Logic and Components
The script does not reuse any existing open-source library logic; the methodology is derived from original research. However, it utilizes standard built-in Pine Script functions for structural stabilization:
Efficiency Metaphor: The core logic calculates a proxy for microstructural health using the formula |Close - Close | / (High - Low).
Use of Exponential Moving Average (EMA): A standard ta.ema is applied to the raw efficiency data. Reason for use: Raw microstructural data is inherently noisy due to high-frequency fluctuations. The EMA is used here specifically as a low-pass filter to extract the underlying structural trend of efficiency without the overhead of more complex digital filters.
Use of Min-Max Normalization: The script utilizes ta.highest and ta.lowest over a lookback period. Reason for use: To convert an absolute efficiency metric into a bounded state variable (0-100). This ensures the indicator is adaptive to different volatility regimes, preventing the signal from becoming obsolete as market conditions change.
Interpretation
Expansion Regime (>60): Indicates a high-efficiency environment where price movement is achieved with minimal internal friction.
Collapse Regime (<40): Indicates a structural deterioration where price effort (range) significantly outweighs price progress (displacement), often signaling an imminent trend break.
Visual Integration: The script includes a barcolor feature that highlights bars where DERYA falls below 30, visually flagging points of extreme structural inefficiency directly on the price chart.
Compliance Note
This script is an original implementation of the DERYA methodology. It does not contain "copy-pasted" code from other public indicators. Standard functions (ta.ema, ta.highest, ta.lowest) are used only for their intended mathematical smoothing and normalization purposes as described above.
Scientific Documentation & Research Paper
This implementation is based on the following published research:
Title: DERYA: Dynamic Efficiency Regime Yield Analyzer - A New Microstructural State Variable for Financial Markets
Published on: Zenodo (CERN)
zenodo.org
DOI: 10.5281/zenodo.18181902
Author: Bülent Duman (Independent Researcher)
Copyright: (C) 2026 Bülent Duman
S&P 500 Momentum Coiling Tracker [20/200 MA]This indicator measures the absolute point distance between the 20-period SMA and the 200-period SMA, specifically optimized for the S&P 500 (ES/MES) index.
In the style of institutional trend following, it identifies the "Narrow State"—a period of low volatility where a major breakout is imminent.
How to read the Histogram:
🟢 GREEN (< 8 pts): Ultra-Narrow/Coiled State. Stored energy is high. Watch for an explosive breakout.
🟡 YELLOW (8-15 pts): Narrow/Transition. The averages are converging or just starting to fan out.
⚪ GRAY (15-30 pts): Neutral trending zone.
🔴 RED (> 30 pts): Extended State. Price is stretched far from the long-term mean; avoid chasing the move.
HOHO Oscillator Squeeze With Goldilocks Pivot FractalsDESCRIPTION:
HOHO Oscillator Squeeze With Goldilocks Pivot Fractals combines three powerful technical analysis methodologies into one comprehensive momentum indicator designed for identifying high-probability trading opportunities.
Core Components:
1. HOHO (Hump Oscillator)
Multi-timeframe momentum analysis using dual oscillators (fast and slow) to identify market momentum shifts. The histogram colors change based on momentum direction and strength, providing clear visual cues for trend changes.
2. Squeeze Detection
Bollinger Bands and Keltner Channel compression analysis identifies periods of low volatility (squeeze conditions) that often precede significant price moves. Yellow dots on the zero line indicate active squeeze conditions.
3. Goldilocks Pivot Fractals
Williams Fractals-based reversal detection identifies significant swing highs and lows. BUY and SELL signals are dynamically positioned to "hug" the histogram, providing clear entry and exit signals at major turning points.
Key Features:
- Dynamic Signal Positioning: Arrows and text automatically adjust to histogram height for optimal visibility
- Customizable Visual Elements: Full control over colors for arrows, text, squeeze dots, and histogram
- Multiple Alert Options: Configurable alerts for fractals, squeeze events, and momentum shifts
- Adjustable Sensitivity: Fractal periods can be tuned for different trading styles (lower = more signals, higher = fewer signals)
- Paint Bars Option: Optional bar coloring based on fast or slow oscillator momentum
- Non-Repainting: All signals are based on confirmed price action
- Independent Spacing Controls: Separate BUY and SELL text spacing for perfect visual balance
How to Use:
Entry Signals:
- BUY arrows appear below histogram at swing lows (bullish fractals)
- SELL arrows appear above histogram at swing highs (bearish fractals)
- Best entries occur when squeeze releases coincide with fractal signals
Momentum Confirmation:
- Green histogram = bullish momentum
- Red histogram = bearish momentum
- Lighter shades indicate weakening momentum
- Darker shades indicate strengthening momentum
Squeeze Conditions:
-Yellow dots = Volatility compression (squeeze active)
- Gray dots = Normal volatility (no squeeze)
- Watch for squeeze release followed by directional move
HOHO Settings:
- Adjustable MA lengths and types (EMA/SMA)
- Customizable smoothing parameters
Goldilocks Fractals:
- Fractal Periods: Sensitivity control (default: 2)
- Arrow Spacing: Distance from histogram (default: 2.0)
- BUY Text Spacing: Distance from BUY arrow (default: 1.7)
- SELL Text Spacing: Distance from SELL arrow (default: 0.8)
- Toggle arrows and text independently
Visual Customization:
- Arrow colors (bullish/bearish)
- Text colors (BUY/SELL)
- Squeeze dot colors (ON/OFF)
- Dot size adjustment
Alerts:
- Bullish/Bearish fractal detection
- Squeeze start/release
- Momentum shift crossovers
Best Practices:
- Trend Alignment: Use on higher timeframes (15m+) for more reliable signals
- Confluence: Combine fractal signals with momentum direction for higher probability trades
- Risk Management: Place stops beyond the fractal high/low that triggered the signal
- Squeeze Strategy: Wait for squeeze release before taking directional positions
- Filter Signals: Increase fractal periods (10-20) to focus only on major turning points
Recommended Timeframes:
- Scalping: 5m-15m (fractal periods 2-5)
- Day Trading: 15m-1H (fractal periods 5-10)
- Swing Trading: 4H-Daily (fractal periods 10-20)
Important Notes:
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always perform your own analysis and use proper risk management. Trading involves substantial risk of loss.
RSI MTF Table (Threshold Colors + Direction Arrows) [v6]Sometimes I want to know what other timeframes are indicating for the RSI so I borrowed from another indicator and created this script. Since I swing trade, I have the timeframes set higher, but you can adjust them to your needs in the settings.
Each pane is color coded light green below 50, and pink above 50. Then you can define your own thresholds but the defaults are Red above 70, and Dark Green below 30. The colors can be adjusted to your needs.
The top of each pane is its timeframe, then the RSI value for that timeframe. Then I check the current bar against the prior bar to see if the current value is higher (Up Arrow) or lower (Down Arrow) so that you know which way the RSI is moving. The position on your chart can be changed to your needs.
This keeps the momentum in perspective for me. I hope it helps you. Good luck in your trading.
TGIF RSI MIDWhen RSI crosses 50, shows a vertical line green for bullish and red for bearish will appear..
Demand Index - Metastock VersionThis script implements the Demand Index, a complex technical indicator originally developed by James Sibbet. This specific version is adapted from the classic MetaStock formula to ensure accuracy and consistency with the original methodology.
The Demand Index combines price and volume data to relate price pressure to volume intensity. It is often used as a leading indicator to predict price trends by assessing the balance between buying pressure (Demand) and selling pressure (Supply).
How It Works
The calculation involves several steps to normalize volume and price changes:
Weighted Close: It calculates a weighted close price giving extra weight to the closing price (High + Low + 2*Close) / 4.
Volatility & Volume Averages: It computes the Average True Range (ATR) proxy and an Exponential Moving Average (EMA) of the volume to establish a baseline.
Buying & Selling Pressure: The core logic compares the current weighted close to the previous one.
If prices rise, the volume is assigned to Buying Pressure.
If prices fall, the volume is assigned to Selling Pressure.
A decay factor (Constant) is applied based on volatility to smooth the reaction to extreme price moves.
The Index: The final oscillator is derived from the ratio of smoothed Buying Pressure to Selling Pressure.
How to Use It
The Demand Index oscillates around a zero line. Traders typically look for the following signals:
Divergence: This is the most common use.
Bullish Divergence: Prices are making new lows, but the Demand Index is making higher lows. This suggests selling pressure is waning and a reversal may be imminent.
Bearish Divergence: Prices are making new highs, but the Demand Index is making lower highs. This suggests buying pressure is drying up.
Zero Line Crossovers:
A cross above zero indicates that Buying Pressure has overtaken Selling Pressure (Bullish).
A cross below zero indicates that Selling Pressure has overtaken Buying Pressure (Bearish).
Trend Confirmation: In a strong trend, the Demand Index should generally move in the same direction as the price.
Settings
Length: The lookback period for the moving averages (Default is 19, consistent with the standard MetaStock setting).
Originality & Credits
This script is a direct translation of the mathematical formula used in MetaStock software. While the Demand Index concept belongs to James Sibbet, this specific Pine Script implementation is provided as open source for the community to study and utilize.
Disclaimer:
This script is for educational and informational purposes only. It DOES NOT constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always do your own research before making investment decisions.
Stochastic RSI with DivergencesStochastic RSI with Divergences - Enhanced Edition
DESCRIPTION
- This is an enhanced version of the classic Stochastic RSI indicator with divergence detection, originally created by @fskrypt (Log RSI), @RicardoSantos (Divergences), @JustUncleL (edits), and @NeoButane (2018 modifications). Full credit to these talented developers for the foundational work.
ENHANCEMENTS & MODIFICATIONS
- This version adds several user-requested features for improved customization and clarity:
- Divergence Signal Labels: Regular divergence signals now display "Buy" (green) and "Sell" (red) instead of generic "R" markers. Hidden divergences show "H-Buy" and "H-Sell" for clearer identification.
- Customizable Colors: User-adjustable colors for both K line (default: blue) and D line (default: orange) allow traders to match their chart themes.
- Adjustable Transparency: Separate opacity controls for the K/D fill shading (default: 70%) and background zones (default: 98%) provide precise visual customization without overwhelming the chart.
- Optional Divergence Lines: Toggle the green and red divergence connecting lines on/off while keeping the Buy/Sell labels visible, reducing visual clutter when desired.
- Organized Settings: All inputs are logically grouped (StochRSI Settings, Divergence Settings, Colors, Opacity) for easier navigation and configuration.
HOW IT WORKS
- The indicator identifies regular and hidden divergences between price action and the Stochastic RSI oscillator:
- Regular Bullish Divergence (Buy): Price makes lower lows while StochRSI makes higher lows - potential reversal signal
- Regular Bearish Divergence (Sell): Price makes higher highs while StochRSI makes lower highs - potential reversal signal
- Hidden Bullish Divergence (H-Buy): Price makes higher lows while StochRSI makes lower lows - trend continuation signal
- Hidden Bearish Divergence (H-Sell): Price makes lower highs while StochRSI makes higher highs - trend continuation signal
- The Stochastic RSI oscillates between 0-100, with readings above 80 indicating overbought conditions and below 20 indicating oversold conditions.
SETTINGS
StochRSI Settings
RSI Length: 14 (default)
Stoch Length: 14 (default)
K Smoothing: 3 (default)
D Smoothing: 3 (default)
Log Scale: Optional logarithmic transformation
Average K & D: Optional blending of both lines
Divergence Settings
Show Divergences: Toggle all divergence signals
Show Hidden Divergences: Toggle H-Buy/H-Sell signals
Show Divergence Lines: Toggle connecting lines between divergence points
Show Divergences Channel: Display fractal channels
Colors
K Line Color: Customize the fast line
D Line Color: Customize the slow line
Opacity
- Background Opacity: Control 20-80 zone shading (0-100)
K/D Fill Opacity: Control area between K and D lines (0-100)
USE CASES
- Momentum trading: Identify overbought/oversold conditions
Divergence trading: Spot potential reversals and trend continuations
Multi-timeframe analysis: Confirm signals across different timeframes
Trend confirmation: Use with other indicators for confluence
CREDITS
- Original concept and code: @fskrypt (Log RSI), @RicardoSantos (Divergence detection), @JustUncleL (modifications), @NeoButane (2018 updates)
Enhanced by: NPR21 (User interface improvements, label modifications, transparency controls)
Laguerre Timeframe OscillatorLaguerre Timeframe Breadth Oscillator
Multi-timeframe × multi-gamma Laguerre breadth model
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Usage Notes
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• This is a regime & consensus indicator, not a trigger
• Best used for trend validation and risk filtering
• Extreme values tend to persist during strong regimes
This indicator answers a single question:
“Out of 198 independent Laguerre filters, how many are currently rising?”
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Concept
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Using Laguerre polynomials, we aggregate price behavior across:
• 11 explicit timeframes (1-minute → 1-day)
• 18 gamma responsiveness levels (0.10 → 0.95)
This produces 198 independent Laguerre curves.
The final oscillator is NOT price.
It represents a directional consensus across timescales and smoothing sensitivities.
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Laguerre Filter Mathematics
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For each Laguerre line i:
L0ᵢ(t) = (1 − γᵢ) · x(t) + γᵢ · L0ᵢ(t−1)
L1ᵢ(t) = −γᵢ · L0ᵢ(t) + L0ᵢ(t−1) + γᵢ · L1ᵢ(t−1)
L2ᵢ(t) = −γᵢ · L1ᵢ(t) + L1ᵢ(t−1) + γᵢ · L2ᵢ(t−1)
L3ᵢ(t) = −γᵢ · L2ᵢ(t) + L2ᵢ(t−1) + γᵢ · L3ᵢ(t−1)
Smoothed output:
Yᵢ(t) = ( L0ᵢ + 2·L1ᵢ + 2·L2ᵢ + L3ᵢ ) / 6
This weighted sum smooths noise while preserving phase better than a traditional EMA.
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Gamma Responsiveness
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Gamma controls responsiveness vs stability:
0.10 — Very fast, noisy
0.40 — Momentum-sensitive
0.70 — Trend-stable
0.95 — Very slow, structural
Each timeframe is evaluated across all gamma levels.
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Timeframes Used (11)
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Minutes: 1, 3, 5, 10, 15, 30, 45
Hours: 1, 2, 4
Days: 1
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Direction Test
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Each Laguerre line votes “up” or “down”:
Iᵢ(t) = 1 if Yᵢ(t) > Yᵢ(t−1)
Iᵢ(t) = 0 otherwise
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Breadth Calculation
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greenCount(t) =
I₁(t) + I₂(t) + I₃(t) + … + I₁₉₈(t)
Total number of rising Laguerre filters.
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Centered Breadth Oscillator
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oscRaw(t) = greenCount(t) − 99
(99 = half of 198; zero represents balanced breadth)
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Smoothing & Amplification
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EMA smoothing:
oscSmooth(t) = EMA₁₀₀(oscRaw)
Extreme emphasis:
oscExtreme(t) = 2 · oscSmooth(t)
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Clamped Final Output
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osc(t) = max( −99 , min( 99 , oscExtreme(t) ) )
Range:
• −99 → all filters falling
• 0 → mixed / neutral
• +99 → all filters rising
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Optional Probabilistic Interpretation
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p(t) = greenCount(t) / 198
Interpretable as the probability of upward directional alignment.
Reach out on Discord if you need further guidance. - Coño Vista
