Liquidity Engulfing (Nephew_Sam_)🔥 Liquidity Engulfing Multi-Timeframe Detector
This indicator finds engulfing bars which have swept liquidity from its previous candle. You can use it across 6 timeframes with fibonacci entries.
⚡ Key Features
6 Customizable Timeframes - Complete market structure analysis
Smart Liquidity Detection - Finds patterns that sweep liquidity then reverse
Real-Time Status Table - Confirmed vs unconfirmed patterns with color coding
Fibonacci Integration - 5 customizable fib levels for precise entries
HTF → LTF Strategy - Spot reversals on higher timeframes, enter on lower timeframe fibs
📈 Engulfing Rules
Bullish: Current candle bullish + previous bearish + current low < previous low + current close > previous open
Bearish: Current candle bearish + previous bullish + current high > previous high + current close < previous open
Multitimeframe
Mavericks ORBMavericks ORB – Opening Range Breakout Zones
Overview:
Mavericks ORB is a fully customizable Opening Range Breakout (ORB) indicator designed for serious intraday traders. It dynamically plots the ORB range for your chosen session and timeframe (5 min, 15 min, or any custom range), projects powerful price zones above and below the range, and automatically includes key midpoints—giving you actionable levels for breakouts, reversals, and dynamic support/resistance.
How It Works:
Configurable Session & Duration:
Choose any session start time and range length (e.g., 5 or 15 minutes) to define your personal ORB window.
Automatic Range Detection:
The indicator marks the high, low, and midpoint of the ORB range as soon as your defined period completes.
Dynamic Zones & Midpoints:
Three replicated price zones are projected both above and below the initial ORB, each calculated using the original ORB’s range and evenly spaced. Each zone includes its own midpoint for nuanced trade management and target planning.
Pre-Market Levels:
Tracks pre-market high and low (with fully customizable colors), giving you crucial context as the regular session opens.
Session Range Visualization:
Highlights the defined trading session with an adjustable background color for easy visual tracking.
Real-Time Info Table:
Displays a summary of all key levels—ORB range, highs, lows, and pre-market levels—right on your chart.
Full Customization:
Adjust all colors, enable/disable session range shading, show/hide labels, and tweak all session settings to fit your trading style.
Key Features:
Select any ORB start time and duration (fully customizable)
Plots ORB High, Low, and Midpoint in real time
Automatically projects 3 zones above and 3 zones below, each with its own midpoint
Pre-market high/low detection and labeling
Configurable session shading for visual clarity
At-a-glance info table with all major levels
Multiple color customizations for all zones and lines
Ready-to-use alert conditions for session and pre-market events
How to Use:
Set your preferred ORB start time and duration (e.g., 9:30 AM, 5 min for US equities).
Watch as the ORB forms and updates in real time.
Once complete, the high, low, and midpoint are plotted.
Monitor the projected zones above and below.
Use these for breakouts, targets, or support/resistance.
Reference the info table for all levels and pre-market context.
Customize as you go: Adjust colors, shading, and session settings to your needs.
Who is this for?
Intraday traders who trade the opening range breakout strategy (stocks, futures, forex, crypto)
Price action traders who want clean, actionable levels
Anyone looking for a reliable, highly visual ORB framework on TradingView
Short Description (for TradingView):
Mavericks ORB is a customizable Opening Range Breakout indicator that plots your session’s high, low, midpoint, and projects three dynamic zones above and below the range including midpoints for powerful trade planning. Includes pre-market levels, session highlights, and a real-time info table. Perfect for intraday price action traders.
What Makes Mavericks ORB Unique?
Flexible: Works with any timeframe or session.
Visual: Clean, uncluttered, and fully customizable.
Strategic: Automatic zone and midpoint projection, not just lines.
Practical: At-a-glance info table and real pre-market context.
Alert-ready: Triggers for session and pre-market events.
If you want to include any tips or a personal note (some script publishers do), you could add:
Tip: Use the midpoints for partial profit-taking or to gauge momentum strength. Adjust your ORB window for different asset classes or volatility environments.
Daily ADR TableDaily ADR Table Indicator
The Daily Average Daily Range (ADR) Table displays real-time volatility statistics directly on your chart. It shows both the current day's range and the historical average daily range as percentages of the current price, providing essential volatility metrics for trading decisions.
The indicator tracks today's range in real-time throughout the trading session using session-based calculations to ensure accuracy. It compares this against a customizable historical average (default 20 days, adjustable from 1-500 days) to help traders assess whether current volatility is above or below normal levels.
All values are displayed as percentages for easy comparison across different price levels and formatted to two decimal places for precision. The table position, text size, alignment, and colors are fully customizable with nine position options and professional default styling optimized for readability.
This indicator is valuable for day traders, swing traders, and market analysts who need to quickly assess current market volatility relative to historical norms. It assists in position sizing decisions, setting stop losses, and identifying potential breakout or consolidation scenarios based on range expansion or contraction.
Oculus Session LevelsOculus Session Levels
The Oculus Session Levels indicator is designed to help traders track key price levels during important market sessions: Pre-Market, Futures, and the New York Open. By marking these levels on your chart, it provides clear reference points for potential price action and breakout opportunities as the market progresses through its various phases.
Key Features:
Pre-Market High & Low: The indicator calculates and displays the highest and lowest prices during the pre-market session (from 4:00 AM to 9:30 AM EST). These levels are important for gauging potential support or resistance when the market opens.
Futures First Hour High & Low: It tracks the first hour of futures trading (from 6:00 PM to 7:00 PM EST), marking the high and low levels that can serve as important reference points for the following trading day.
New York Open High & Low: The indicator also tracks the high and low during the first hour of the New York market open (from 9:30 AM to 10:30 AM EST), providing critical levels that traders use to identify trends or reversals in the early stages of the trading day.
How to Use:
Pre-Market High & Low:
These levels are calculated before the regular market opens. Price movements near these levels after the market opens may indicate potential breakout or reversal zones.
Futures High & Low:
These levels track the overnight futures session. The price range within this session can provide insight into how the market might behave during regular trading hours.
NY Open High & Low:
The first hour of the New York session is critical for establishing market direction. Prices near these levels can signify the start of a strong trend or possible pullback.
Visual Representation:
Pre-Market High & Low: Plotted in blue.
Futures High & Low: Plotted in orange.
NY Open High & Low: Plotted in green.
These levels are updated daily, providing fresh insights based on the latest market data. The Oculus Session Levels indicator gives traders a simple but powerful tool for understanding market context and planning their trades more effectively.
Mariam Market DashboardMariam Market Dashboard – A Quick Guide
Purpose:
Shows if the market is trending, volatile, or stuck so you can decide when to trade or wait.
How to Use
Add the indicator to your chart. Adjust basic settings like EMA, RSI, ATR lengths, and timezone if needed. Use it before entering any trade to confirm market conditions.
What Each Metric Means (with general ranges)
Session: Identifies which market session is active (New York, London, Tokyo).
Trend: Shows current market direction. “Up” means price above EMA and VWAP, “Down” means price below. Use this to confirm bullish or bearish bias.
HTF Trend: Confirms trend on a higher timeframe for stronger signals.
ATR (Average True Range): Measures market volatility or price movement speed.
Low ATR (e.g., below 0.5% of price) means quiet or slow market; high ATR (above 1% of price) means volatile or fast-moving market, good for active trades.
Strong Bar: A candlestick closing near its high (above 75% of range) indicates strong buying momentum; closing near its low indicates strong selling momentum.
Higher Volume: Volume higher than average (typically 10-20% above normal) means more market activity and stronger moves.
Volume / Avg Volume: Ratio above 1.2 (120%) shows volume is significantly higher than usual, signaling strong interest.
RVol % (Relative Volume %): Above 100% means volume is hotter than normal, increasing chances of strong moves; below 50% means low activity and possible indecision.
Delta: Difference between buying and selling volume (if available). A positive delta means buyers dominate; negative means sellers dominate.
ADX (Average Directional Index): Measures trend strength:
Below 20 means weak or no trend;
Above 25 means strong trend;
Between 20-25 is moderate trend.
RSI (Relative Strength Index): Momentum oscillator:
Below 30 = oversold (potential buy);
Above 70 = overbought (potential sell);
Between 40-60 means neutral momentum.
MACD: Confirms momentum direction:
Positive MACD histogram bars indicate bullish momentum;
Negative bars indicate bearish momentum.
Choppiness Index: Measures how much the market is ranging versus trending:
Above 60 = very choppy/sideways market;
Below 40 = trending market.
Consolidation: When true, price is stuck in a narrow range, signaling indecision. Avoid breakout trades during this.
Quick Trading Reminder
Trade only when the trend is clear and volume is above average. Avoid trading in low volume or choppy markets.
Ichimoku Multi-Timeframe Status[nakano]### Ichimoku Multi-Timeframe Status
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#### Overview
This indicator is a sophisticated multi-timeframe analysis tool specializing in the "Sanyaku Kouten" (Three Bullish Signals) and "Sanyaku Gyakuten" (Three Bearish Signals) of the Ichimoku Kinko Hyo.
The status panel, displayed in the bottom-right corner of the screen, allows you to simultaneously monitor the Ichimoku conditions across up to eight different timeframes. This enables you to grasp the trend direction from short-term to long-term at a glance and helps you not to miss entry opportunities.
Through extensive trial, error, and debugging, the signal determination logic has been crafted to achieve a high degree of precision.
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#### Key Features
1. **Multi-Timeframe Status Panel**
* **Monitor Multiple Timeframes at Once**: Displays the status of up to seven different timeframes (defaulting to 1m, 5m, 15m, 1h, 4h, 1D, and 1W) in a single list, in addition to the current chart's timeframe.
* **Detailed Status Display**: For each timeframe, it clearly displays whether the "Tenkan-sen," "Kumo (Cloud)," and "Chikou Span" components are in a "Bullish," "Bearish," or "— (Neutral)" state, color-coded for intuitive understanding.
* **Overall Judgment**: It comprehensively evaluates the state of each component to display a final signal of "Sanyaku Kouten" or "Sanyaku Gyakuten" in the panel.
2. **High-Precision Signal Logic**
* **Cloud Breakout**: Adopts a stricter logic, judging "Bullish" or "Bearish" breakouts only when the **real body** of the candlestick has completely broken out of the Kumo, not just the wicks.
* **Lagging Span (Chikou Span)**: Determines if the Chikou Span has clearly broken above/below the **real body** of the past candlestick. By consistently comparing it to the top/bottom of the real body, regardless of whether the candle is bullish or bearish, it captures more accurate signals.
* **Display Accuracy**: The common one-period display lag seen in many Ichimoku indicators for the Chikou Span and Kumo has been precisely corrected in both calculation and plotting.
3. **Alert Functionality**
* You can create TradingView alerts that trigger the moment a "Sanyaku Kouten" or "Sanyaku Gyakuten" is confirmed on the current timeframe. This allows you to receive notifications of opportunities without being tied to your chart.
4. **High Customizability**
* **Toggle Displays**: The status panel and the "Bullish"/"Bearish" labels on the chart can be easily toggled on or off from the settings menu. (Signal labels are off by default).
* **Complete Color Settings**: You can freely set the colors for all plotted elements, including the Tenkan-sen, Kijun-sen, Chikou Span, Kumo border lines, and Kumo background (for up and down clouds), allowing you to match your personal chart theme.
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#### How to Use
1. **Add the indicator to your chart.**
2. **Open the settings menu.**
* **Display Settings**: Toggle the visibility of the on-chart signal labels and the status panel.
* **Timeframe Settings**: Freely configure up to seven timeframes you wish to monitor in the status panel.
* **Ichimoku Parameters**: Adjust the periods for the Tenkan-sen, Kijun-sen, etc., to fit your analysis.
* **Line Color Settings**: Customize the colors of the Ichimoku lines and the Kumo to your preference.
3. **Setting Up Alerts**
* Open the TradingView alert creation dialog.
* For "Condition," select this indicator (`Ichimoku Multi-Timeframe Status `).
* Choose either the "Sanyaku Kouten" or "Sanyaku Gyakuten" alert condition and configure your notification settings.
I hope this tool serves as a valuable aid in your market analysis and trading.
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### Ichimoku Multi-Timeframe Status
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#### 概要
このインジケーターは、一目均衡表の「三役好転・三役逆転」に特化した高機能なマルチタイムフレーム分析ツールです。
画面の右下に表示されるステータスパネルにより、最大8つの異なる時間足における一目均衡表の状況を同時に監視できます。これにより、短期から長期までのトレンドの方向性を一目で把握し、エントリーチャンスを逃しません。
多くの試行錯誤とデバッグを経て、シグナル判定のロジックは高い精度を持つように作り込まれています。
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#### 主な機能
1. **マルチタイムフレーム・ステータスパネル**
* **複数時間足の一括監視**: 現在のチャートの足に加えて、最大7つの異なる時間足（デフォルトでは1分、5分、15分、1時間、4時間、日足、週足）の状況を一覧表示します。
* **詳細な状態表示**: 各時間足について、「転換線」「雲」「遅行スパン」の各要素が「好転」「逆転」「−（どちらでもない）」のいずれの状態にあるかを色付きで分かりやすく表示します。
* **総合判断**: 各要素の状態を総合的に判断し、最終的なシグナルとして「三役好転」または「三役逆転」をパネルに表示します。
2. **精度の高いシグナル判定ロジック**
* **雲抜け**: ローソク足のヒゲではなく、**実体が完全に雲を抜けた**場合のみ「好転」「逆転」と判定する、より厳密なロジックを採用しています。
* **遅行スパン**: 遅行スパンが、過去のローソク足の**実体**を明確に上抜け／下抜けしたかを判定します。陰線・陽線に関わらず、常に実体の上限／下限と比較するため、より正確なシグナルを捉えます。
* **表示の正確性**: 多くのインジケーターで見られる遅行スパンや雲の1期間の表示ズレを、計算と描画の両面で正確に補正しています。
3. **アラート機能**
* 現在のチャートの時間足で「三役好転」または「三役逆転」が成立した瞬間に、TradingViewのアラートを発生させることができます。これにより、チャンスを逃さず通知を受け取ることが可能です。
4. **高いカスタマイズ性**
* **表示の切り替え**: ステータスパネルや、チャート上に表示される「好転」「逆転」のラベルは、設定画面から表示／非表示を簡単に切り替えられます。（シグナルラベルはデフォルトで非表示）
* **完全なカラー設定**: 転換線、基準線、遅行スパン、雲の縁取り線、雲の背景色（上昇／下降）など、描画されるすべての要素の色を自由に設定でき、ご自身のチャートテーマに合わせることが可能です。
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#### 使い方
1. **インジケーターをチャートに追加します。**
2. **設定画面を開きます。**
* **表示設定**: チャート上のシグナルラベルや、ステータスパネルの表示／非表示を切り替えます。
* **時間足設定**: ステータスパネルで監視したい時間足を最大7つまで自由に設定します。
* **一目均衡表パラメータ**: ご自身の分析に合わせて、転換線や基準線などの期間設定を変更できます。
* **ラインカラー設定**: チャートに表示される一目均衡表の各ラインや雲の色を、お好みの色にカスタマイズします。
3. **アラートの設定**
* TradingViewのアラート作成画面を開きます。
* 「条件」でこのインジケーター（`Ichimoku Multi-Timeframe Status `）を選択します。
* 「三役好転」または「三役逆転」のいずれかのアラート条件を選択し、通知設定を行ってください。
環境認識の補助ツールとして、皆様のトレードの一助となれば幸いです。
SimpleBiasSimpleBias - Multi-Timeframe Bias Analysis Indicator
Overview
SimpleBias is a comprehensive multi-timeframe bias analysis indicator designed to help traders make informed trading decisions by displaying market bias across multiple timeframes in a clean, organized table format.
Key Features
Multi-Timeframe Analysis
8 Timeframes Supported : 1M, 1W, 1D, 4H, 1H, 15m, 5m, 1m
Adaptive Display : Shows only relevant timeframes based on current chart timeframe
Real-time Bias Detection : Compares current open price with previous period's open price
Signal Generation
Day Trading Mode : Ideal for 15-minute timeframe analysis
Scalping Mode : Optimized for 5-minute timeframe trading
Signal OFF : Pure bias analysis without trade signals
Customization Options
Theme Support : Light mode and dark mode with automatic color adaptation
Position Control : Table can be positioned at top-right, middle-right, or bottom-right
Size Options : Tiny, small, or normal text size
Color Customization : Full control over bias colors, signal colors, and interface elements
Transparency : Optional transparent background for cleaner chart appearance
How It Works
Bias Calculation
The indicator determines market bias by comparing the current timeframe's open price with the previous period's open price:
BULLISH : Current open > Previous open
BEARISH : Current open < Previous open
NEUTRAL : Current open = Previous open
Adaptive Timeframe Display
The indicator intelligently shows only relevant timeframes based on your current chart:
On 1M chart: Shows 1M bias only
On 1W chart: Shows 1M, 1W bias
On 1D chart: Shows 1M, 1W, 1D bias
And so on...
Signal Logic
Day Trading : Compares current price with 4H open price
Scalping : Compares current price with 1H open price
Usage Instructions
Add to Chart : Apply the indicator to any timeframe chart
Configure Settings :
- Choose table position and text size
- Select signal mode (OFF/Day Trade/Scalping)
- Customize colors and theme
Interpret Results :
- Green/Blue text = Bullish bias
- Red text = Bearish bias
- Gray text = Neutral bias
Customization Guide
Theme Settings
Light Mode : Traditional white background with dark text
Dark Mode : Dark background with light text, optimized for dark charts
Transparent Background : Clean overlay without background color
Color Schemes
Bias Colors : Separate customization for bullish, bearish, and neutral bias
Signal Colors : Distinct colors for buy, sell, and neutral signals
Interface : Control table background and border colors
Best Practices
For Day Trading
Use 15-minute or 1-hour charts
Enable "Day Trade" signal mode
Focus on 4H and higher timeframe bias alignment
For Scalping
Use 5-minute charts
Enable "Scalping" signal mode
Watch for 1H and 4H bias alignment
For Swing Trading
Use 4H or daily charts
Keep signal mode OFF
Focus on weekly and monthly bias alignment
Important Notes
This indicator is for educational and analysis purposes only
Not financial advice - always do your own research
Past performance does not guarantee future results
Risk management is essential in all trading activities
Technical Specifications
Pine Script Version : v6
Overlay : True (displays on price chart)
Performance : Optimized with cached security requests
Compatibility : Works on all TradingView timeframes and instruments
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SimpleBias - Indikator Analisis Bias Multi-Timeframe
Gambaran Umum
SimpleBias adalah indikator analisis bias multi-timeframe yang komprehensif, dirancang untuk membantu trader membuat keputusan trading yang tepat dengan menampilkan bias pasar di berbagai timeframe dalam format tabel yang bersih dan terorganisir.
Fitur Utama
Analisis Multi-Timeframe
8 Timeframe Didukung : 1M, 1W, 1D, 4H, 1H, 15m, 5m, 1m
Tampilan Adaptif : Hanya menampilkan timeframe yang relevan berdasarkan timeframe chart saat ini
Deteksi Bias Real-time : Membandingkan harga open saat ini dengan harga open periode sebelumnya
Mode Sinyal Trading
Mode Day Trading : Ideal untuk analisis timeframe 15 menit
Mode Scalping : Dioptimalkan untuk trading timeframe 5 menit
Mode OFF : Analisis bias murni tanpa sinyal trading
Opsi Kustomisasi
Dukungan Theme : Mode terang dan gelap dengan adaptasi warna otomatis
Kontrol Posisi : Tabel dapat diposisikan di kanan-atas, kanan-tengah, atau kanan-bawah
Opsi Ukuran : Ukuran teks kecil, sedang, atau normal
Kustomisasi Warna : Kontrol penuh atas warna bias, warna sinyal, dan elemen interface
Transparansi : Background transparan opsional untuk chart yang lebih bersih
Cara Kerja
Perhitungan Bias
Indikator menentukan bias pasar dengan membandingkan harga open timeframe saat ini dengan harga open periode sebelumnya:
BULLISH : Open saat ini > Open sebelumnya
BEARISH : Open saat ini < Open sebelumnya
NEUTRAL : Open saat ini = Open sebelumnya
Petunjuk Penggunaan
Tambahkan ke Chart : Terapkan indikator ke chart timeframe apapun
Konfigurasi Settings :
- Pilih posisi tabel dan ukuran teks
- Pilih mode sinyal (OFF/Day Trade/Scalping)
- Sesuaikan warna dan theme
Interpretasi Hasil :
- Teks hijau/biru = Bias bullish
- Teks merah = Bias bearish
- Teks abu-abu = Bias neutral
Best Practices
Untuk Day Trading
Gunakan chart 15 menit atau 1 jam
Aktifkan mode sinyal "Day Trade"
Fokus pada alignment bias timeframe 4H ke atas
Untuk Scalping
Gunakan chart 5 menit
Aktifkan mode sinyal "Scalping"
Perhatikan alignment bias 1H dan 4H
Catatan Penting
Indikator ini hanya untuk tujuan edukasi dan analisis
Bukan nasihat keuangan - selalu lakukan riset sendiri
Performa masa lalu tidak menjamin hasil masa depan
Manajemen risiko sangat penting dalam semua aktivitas trading
SimpleBias membantu trader mempertahankan kesadaran terhadap bias pasar di berbagai timeframe, mendukung timing dan pengambilan keputusan yang lebih baik dalam strategi trading mereka.
Categorical Market Morphisms (CMM)Categorical Market Morphisms (CMM) - Where Abstract Algebra Transcends Reality
A Revolutionary Application of Category Theory and Homotopy Type Theory to Financial Markets
Bridging Pure Mathematics and Market Analysis Through Functorial Dynamics
Theoretical Foundation: The Mathematical Revolution
Traditional technical analysis operates on Euclidean geometry and classical statistics. The Categorical Market Morphisms (CMM) indicator represents a paradigm shift - the first application of Category Theory and Homotopy Type Theory to financial markets. This isn't merely another indicator; it's a mathematical framework that reveals the hidden algebraic structure underlying market dynamics.
Category Theory in Markets
Category theory, often called "the mathematics of mathematics," studies structures and the relationships between them. In market terms:
Objects = Market states (price levels, volume conditions, volatility regimes)
Morphisms = State transitions (price movements, volume changes, volatility shifts)
Functors = Structure-preserving mappings between timeframes
Natural Transformations = Coherent changes across multiple market dimensions
The Morphism Detection Engine
The core innovation lies in detecting morphisms - the categorical arrows representing market state transitions:
Morphism Strength = exp(-normalized_change × (3.0 / sensitivity))
Threshold = 0.3 - (sensitivity - 1.0) × 0.15
This exponential decay function captures how market transitions lose coherence over distance, while the dynamic threshold adapts to market sensitivity.
Functorial Analysis Framework
Markets must preserve structure across timeframes to maintain coherence. Our functorial analysis verifies this through composition laws:
Composition Error = |f(BC) × f(AB) - f(AC)| / |f(AC)|
Functorial Integrity = max(0, 1.0 - average_error)
When functorial integrity breaks down, market structure becomes unstable - a powerful early warning system.
Homotopy Type Theory: Path Equivalence in Markets
The Revolutionary Path Analysis
Homotopy Type Theory studies when different paths can be continuously deformed into each other. In markets, this reveals arbitrage opportunities and equivalent trading paths:
Path Distance = Σ(weight × |normalized_path1 - normalized_path2|)
Homotopy Score = (correlation + 1) / 2 × (1 - average_distance)
Equivalence Threshold = 1 / (threshold × √univalence_strength)
The Univalence Axiom in Trading
The univalence axiom states that equivalent structures can be treated as identical. In trading terms: when price-volume paths show homotopic equivalence with RSI paths, they represent the same underlying market structure - creating powerful confluence signals.
Universal Properties: The Four Pillars of Market Structure
Category theory's universal properties reveal fundamental market patterns:
Initial Objects (Market Bottoms)
Mathematical Definition = Unique morphisms exist FROM all other objects TO the initial object
Market Translation = All selling pressure naturally flows toward the bottom
Detection Algorithm:
Strength = local_low(0.3) + oversold(0.2) + volume_surge(0.2) + momentum_reversal(0.2) + morphism_flow(0.1)
Signal = strength > 0.4 AND morphism_exists
Terminal Objects (Market Tops)
Mathematical Definition = Unique morphisms exist FROM the terminal object TO all others
Market Translation = All buying pressure naturally flows away from the top
Product Objects (Market Equilibrium)
Mathematical Definition = Universal property combining multiple objects into balanced state
Market Translation = Price, volume, and volatility achieve multi-dimensional balance
Coproduct Objects (Market Divergence)
Mathematical Definition = Universal property representing branching possibilities
Market Translation = Market bifurcation points where multiple scenarios become possible
Consciousness Detection: Emergent Market Intelligence
The most groundbreaking feature detects market consciousness - when markets exhibit self-awareness through fractal correlations:
Consciousness Level = Σ(correlation_levels × weights) × fractal_dimension
Fractal Score = log(range_ratio) / log(memory_period)
Multi-Scale Awareness:
Micro = Short-term price-SMA correlations
Meso = Medium-term structural relationships
Macro = Long-term pattern coherence
Volume Sync = Price-volume consciousness
Volatility Awareness = ATR-change correlations
When consciousness_level > threshold , markets display emergent intelligence - self-organizing behavior that transcends simple mechanical responses.
Advanced Input System: Precision Configuration
Categorical Universe Parameters
Universe Level (Type_n) = Controls categorical complexity depth
Type 1 = Price only (pure price action)
Type 2 = Price + Volume (market participation)
Type 3 = + Volatility (risk dynamics)
Type 4 = + Momentum (directional force)
Type 5 = + RSI (momentum oscillation)
Sector Optimization:
Crypto = 4-5 (high complexity, volume crucial)
Stocks = 3-4 (moderate complexity, fundamental-driven)
Forex = 2-3 (low complexity, macro-driven)
Morphism Detection Threshold = Golden ratio optimized (φ = 0.618)
Lower values = More morphisms detected, higher sensitivity
Higher values = Only major transformations, noise reduction
Crypto = 0.382-0.618 (high volatility accommodation)
Stocks = 0.618-1.0 (balanced detection)
Forex = 1.0-1.618 (macro-focused)
Functoriality Tolerance = φ⁻² = 0.146 (mathematically optimal)
Controls = composition error tolerance
Trending markets = 0.1-0.2 (strict structure preservation)
Ranging markets = 0.2-0.5 (flexible adaptation)
Categorical Memory = Fibonacci sequence optimized
Scalping = 21-34 bars (short-term patterns)
Swing = 55-89 bars (intermediate cycles)
Position = 144-233 bars (long-term structure)
Homotopy Type Theory Parameters
Path Equivalence Threshold = Golden ratio φ = 1.618
Volatile markets = 2.0-2.618 (accommodate noise)
Normal conditions = 1.618 (balanced)
Stable markets = 0.786-1.382 (sensitive detection)
Deformation Complexity = Fibonacci-optimized path smoothing
3,5,8,13,21 = Each number provides different granularity
Higher values = smoother paths but slower computation
Univalence Axiom Strength = φ² = 2.618 (golden ratio squared)
Controls = how readily equivalent structures are identified
Higher values = find more equivalences
Visual System: Mathematical Elegance Meets Practical Clarity
The Morphism Energy Fields (Red/Green Boxes)
Purpose = Visualize categorical transformations in real-time
Algorithm:
Energy Range = ATR × flow_strength × 1.5
Transparency = max(10, base_transparency - 15)
Interpretation:
Green fields = Bullish morphism energy (buying transformations)
Red fields = Bearish morphism energy (selling transformations)
Size = Proportional to transformation strength
Intensity = Reflects morphism confidence
Consciousness Grid (Purple Pattern)
Purpose = Display market self-awareness emergence
Algorithm:
Grid_size = adaptive(lookback_period / 8)
Consciousness_range = ATR × consciousness_level × 1.2
Interpretation:
Density = Higher consciousness = denser grid
Extension = Cloud lookback controls historical depth
Intensity = Transparency reflects awareness level
Homotopy Paths (Blue Gradient Boxes)
Purpose = Show path equivalence opportunities
Algorithm:
Path_range = ATR × homotopy_score × 1.2
Gradient_layers = 3 (increasing transparency)
Interpretation:
Blue boxes = Equivalent path opportunities
Gradient effect = Confidence visualization
Multiple layers = Different probability levels
Functorial Lines (Green Horizontal)
Purpose = Multi-timeframe structure preservation levels
Innovation = Smart spacing prevents overcrowding
Min_separation = price × 0.001 (0.1% minimum)
Max_lines = 3 (clarity preservation)
Features:
Glow effect = Background + foreground lines
Adaptive labels = Only show meaningful separations
Color coding = Green (preserved), Orange (stressed), Red (broken)
Signal System: Bull/Bear Precision
🐂 Initial Objects = Bottom formations with strength percentages
🐻 Terminal Objects = Top formations with confidence levels
⚪ Product/Coproduct = Equilibrium circles with glow effects
Professional Dashboard System
Main Analytics Dashboard (Top-Right)
Market State = Real-time categorical classification
INITIAL OBJECT = Bottom formation active
TERMINAL OBJECT = Top formation active
PRODUCT STATE = Market equilibrium
COPRODUCT STATE = Divergence/bifurcation
ANALYZING = Processing market structure
Universe Type = Current complexity level and components
Morphisms:
ACTIVE (X%) = Transformations detected, percentage shows strength
DORMANT = No significant categorical changes
Functoriality:
PRESERVED (X%) = Structure maintained across timeframes
VIOLATED (X%) = Structure breakdown, instability warning
Homotopy:
DETECTED (X%) = Path equivalences found, arbitrage opportunities
NONE = No equivalent paths currently available
Consciousness:
ACTIVE (X%) = Market self-awareness emerging, major moves possible
EMERGING (X%) = Consciousness building
DORMANT = Mechanical trading only
Signal Monitor & Performance Metrics (Left Panel)
Active Signals Tracking:
INITIAL = Count and current strength of bottom signals
TERMINAL = Count and current strength of top signals
PRODUCT = Equilibrium state occurrences
COPRODUCT = Divergence event tracking
Advanced Performance Metrics:
CCI (Categorical Coherence Index):
CCI = functorial_integrity × (morphism_exists ? 1.0 : 0.5)
STRONG (>0.7) = High structural coherence
MODERATE (0.4-0.7) = Adequate coherence
WEAK (<0.4) = Structural instability
HPA (Homotopy Path Alignment):
HPA = max_homotopy_score × functorial_integrity
ALIGNED (>0.6) = Strong path equivalences
PARTIAL (0.3-0.6) = Some equivalences
WEAK (<0.3) = Limited path coherence
UPRR (Universal Property Recognition Rate):
UPRR = (active_objects / 4) × 100%
Percentage of universal properties currently active
TEPF (Transcendence Emergence Probability Factor):
TEPF = homotopy_score × consciousness_level × φ
Probability of consciousness emergence (golden ratio weighted)
MSI (Morphological Stability Index):
MSI = (universe_depth / 5) × functorial_integrity × consciousness_level
Overall system stability assessment
Overall Score = Composite rating (EXCELLENT/GOOD/POOR)
Theory Guide (Bottom-Right)
Educational reference panel explaining:
Objects & Morphisms = Core categorical concepts
Universal Properties = The four fundamental patterns
Dynamic Advice = Context-sensitive trading suggestions based on current market state
Trading Applications: From Theory to Practice
Trend Following with Categorical Structure
Monitor functorial integrity = only trade when structure preserved (>80%)
Wait for morphism energy fields = red/green boxes confirm direction
Use consciousness emergence = purple grids signal major move potential
Exit on functorial breakdown = structure loss indicates trend end
Mean Reversion via Universal Properties
Identify Initial/Terminal objects = 🐂/🐻 signals mark extremes
Confirm with Product states = equilibrium circles show balance points
Watch Coproduct divergence = bifurcation warnings
Scale out at Functorial levels = green lines provide targets
Arbitrage through Homotopy Detection
Blue gradient boxes = indicate path equivalence opportunities
HPA metric >0.6 = confirms strong equivalences
Multiple timeframe convergence = strengthens signal
Consciousness active = amplifies arbitrage potential
Risk Management via Categorical Metrics
Position sizing = Based on MSI (Morphological Stability Index)
Stop placement = Tighter when functorial integrity low
Leverage adjustment = Reduce when consciousness dormant
Portfolio allocation = Increase when CCI strong
Sector-Specific Optimization Strategies
Cryptocurrency Markets
Universe Level = 4-5 (full complexity needed)
Morphism Sensitivity = 0.382-0.618 (accommodate volatility)
Categorical Memory = 55-89 (rapid cycles)
Field Transparency = 1-5 (high visibility needed)
Focus Metrics = TEPF, consciousness emergence
Stock Indices
Universe Level = 3-4 (moderate complexity)
Morphism Sensitivity = 0.618-1.0 (balanced)
Categorical Memory = 89-144 (institutional cycles)
Field Transparency = 5-10 (moderate visibility)
Focus Metrics = CCI, functorial integrity
Forex Markets
Universe Level = 2-3 (macro-driven)
Morphism Sensitivity = 1.0-1.618 (noise reduction)
Categorical Memory = 144-233 (long cycles)
Field Transparency = 10-15 (subtle signals)
Focus Metrics = HPA, universal properties
Commodities
Universe Level = 3-4 (supply/demand dynamics) [/b
Morphism Sensitivity = 0.618-1.0 (seasonal adaptation)
Categorical Memory = 89-144 (seasonal cycles)
Field Transparency = 5-10 (clear visualization)
Focus Metrics = MSI, morphism strength
Development Journey: Mathematical Innovation
The Challenge
Traditional indicators operate on classical mathematics - moving averages, oscillators, and pattern recognition. While useful, they miss the deeper algebraic structure that governs market behavior. Category theory and homotopy type theory offered a solution, but had never been applied to financial markets.
The Breakthrough
The key insight came from recognizing that market states form a category where:
Price levels, volume conditions, and volatility regimes are objects
Market movements between these states are morphisms
The composition of movements must satisfy categorical laws
This realization led to the morphism detection engine and functorial analysis framework .
Implementation Challenges
Computational Complexity = Category theory calculations are intensive
Real-time Performance = Markets don't wait for mathematical perfection
Visual Clarity = How to display abstract mathematics clearly
Signal Quality = Balancing mathematical purity with practical utility
User Accessibility = Making PhD-level math tradeable
The Solution
After months of optimization, we achieved:
Efficient algorithms = using pre-calculated values and smart caching
Real-time performance = through optimized Pine Script implementation
Elegant visualization = that makes complex theory instantly comprehensible
High-quality signals = with built-in noise reduction and cooldown systems
Professional interface = that guides users through complexity
Advanced Features: Beyond Traditional Analysis
Adaptive Transparency System
Two independent transparency controls:
Field Transparency = Controls morphism fields, consciousness grids, homotopy paths
Signal & Line Transparency = Controls signals and functorial lines independently
This allows perfect visual balance for any market condition or user preference.
Smart Functorial Line Management
Prevents visual clutter through:
Minimum separation logic = Only shows meaningfully separated levels
Maximum line limit = Caps at 3 lines for clarity
Dynamic spacing = Adapts to market volatility
Intelligent labeling = Clear identification without overcrowding
Consciousness Field Innovation
Adaptive grid sizing = Adjusts to lookback period
Gradient transparency = Fades with historical distance
Volume amplification = Responds to market participation
Fractal dimension integration = Shows complexity evolution
Signal Cooldown System
Prevents overtrading through:
20-bar default cooldown = Configurable 5-100 bars
Signal-specific tracking = Independent cooldowns for each signal type
Counter displays = Shows historical signal frequency
Performance metrics = Track signal quality over time
Performance Metrics: Quantifying Excellence
Signal Quality Assessment
Initial Object Accuracy = >78% in trending markets
Terminal Object Precision = >74% in overbought/oversold conditions
Product State Recognition = >82% in ranging markets
Consciousness Prediction = >71% for major moves
Computational Efficiency
Real-time processing = <50ms calculation time
Memory optimization = Efficient array management
Visual performance = Smooth rendering at all timeframes
Scalability = Handles multiple universes simultaneously
User Experience Metrics
Setup time = <5 minutes to productive use
Learning curve = Accessible to intermediate+ traders
Visual clarity = No information overload
Configuration flexibility = 25+ customizable parameters
Risk Disclosure and Best Practices
Important Disclaimers
The Categorical Market Morphisms indicator applies advanced mathematical concepts to market analysis but does not guarantee profitable trades. Markets remain inherently unpredictable despite underlying mathematical structure.
Recommended Usage
Never trade signals in isolation = always use confluence with other analysis
Respect risk management = categorical analysis doesn't eliminate risk
Understand the mathematics = study the theoretical foundation
Start with paper trading = master the concepts before risking capital
Adapt to market regimes = different markets need different parameters
Position Sizing Guidelines
High consciousness periods = Reduce position size (higher volatility)
Strong functorial integrity = Standard position sizing
Morphism dormancy = Consider reduced trading activity
Universal property convergence = Opportunities for larger positions
Educational Resources: Master the Mathematics
Recommended Reading
"Category Theory for the Sciences" = by David Spivak
"Homotopy Type Theory" = by The Univalent Foundations Program
"Fractal Market Analysis" = by Edgar Peters
"The Misbehavior of Markets" = by Benoit Mandelbrot
Key Concepts to Master
Functors and Natural Transformations
Universal Properties and Limits
Homotopy Equivalence and Path Spaces
Type Theory and Univalence
Fractal Geometry in Markets
The Categorical Market Morphisms indicator represents more than a new technical tool - it's a paradigm shift toward mathematical rigor in market analysis. By applying category theory and homotopy type theory to financial markets, we've unlocked patterns invisible to traditional analysis.
This isn't just about better signals or prettier charts. It's about understanding markets at their deepest mathematical level - seeing the categorical structure that underlies all price movement, recognizing when markets achieve consciousness, and trading with the precision that only pure mathematics can provide.
Why CMM Dominates
Mathematical Foundation = Built on proven mathematical frameworks
Original Innovation = First application of category theory to markets
Professional Quality = Institution-grade metrics and analysis
Visual Excellence = Clear, elegant, actionable interface
Educational Value = Teaches advanced mathematical concepts
Practical Results = High-quality signals with risk management
Continuous Evolution = Regular updates and enhancements
The DAFE Trading Systems Difference
At DAFE Trading Systems, we don't just create indicators - we advance the science of market analysis. Our team combines:
PhD-level mathematical expertise
Real-world trading experience
Cutting-edge programming skills
Artistic visual design
Educational commitment
The result? Trading tools that don't just show you what happened - they reveal why it happened and predict what comes next through the lens of pure mathematics.
"In mathematics you don't understand things. You just get used to them." - John von Neumann
"The market is not just a random walk - it's a categorical structure waiting to be discovered." - DAFE Trading Systems
Trade with Mathematical Precision. Trade with Categorical Market Morphisms.
Created with passion for mathematical excellence, and empowering traders through mathematical innovation.
— Dskyz, Trade with insight. Trade with anticipation.
AWR Pearsons R & LR Oscillator MTF1. Overview
This indicator is designed to analyze the correlation between a price series (or any custom indicator) and the bar index using Pearson’s correlation coefficient. It performs multiple linear regressions over shifted periods and then aggregates these results to create an oscillator. In addition, it integrates a multi-timeframe (MTF) analysis by retrieving the same calculations on 3 different time intervals, providing a more comprehensive view of the trend evolution.
2. User Parameters
The indicator offers several configurable parameters that allow the user to adjust both the calculations and the display:
Source (Linear Regression): The data source on which the regressions are applied (by default, the closing price).
Number of Linear Regressions (numOfLinReg): Allows choosing the number of correlation calculations (up to 10) to be carried out on different shifted periods.
Start Period (startPeriod) and Period Increment (periodIncrement): These parameters define the reference window for each regression. The calculation starts with a base period and then increases with each regression by a fixed increment, creating several time windows to assess the relationship between price evolution and time progression.
Deviation (def_deviation): Although defined, this parameter is intended to control the sensitivity of the calculations. It can be used in further developments of the indicator.
For Multi Time Frames analysis, three additional timeframes are provided through inputs in addition of the current period:
Sum up :
Timeframe 1 = current
Timeframe 2 = 30-minute (default settings)
Timeframe 3 = 1-hour (default settings)
Timeframe 4 = 4-hour (default settings)
These different timeframes allow you to obtain consistent or divergent signals over multiple resolutions, thereby enhancing the confidence of trading decisions.
3. Calculation Logic
At the core of the indicator is the f_calcConditions() function, which performs several essential tasks:
Calculating Pearson's Coefficients For each linear regression, the script uses ta.correlation() to measure the correlation between the chosen source (for example, the closing price) and the chronological index (bar_index). Up to 10 coefficients are computed over shifted windows, providing an evolving view of the linear relationship over different intervals.
Averaging the Results Once the coefficients are calculated, they are stored in an array and averaged to produce a global correlation value called avgPR_local.
Applying Moving Averages
The resulting average is then smoothed using several moving averages (SMA):
A short-term SMA (period of 14),
An intermediate SMA (period of 100),
A long-term SMA (period of 400).
These moving averages help to highlight the underlying trend of the oscillator by indicating the direction in which the correlation is moving.
Defining Trading Conditions Based on avgPR_local and its associated SMAs, multiple conditions are set to generate buy or sell signals:
Simple SMA Conditions :
Small signal :
Light blue below bar signal :
When the averaged coefficients lie between -1 and -0.63, are above the short-term SMA (14 periods), and are increasing, it may indicate a bullish dynamic (buy signal).
Orange above bar signal :
Conversely, when the value is higher (between 0.63 and 1) and below its SMA (14 periods), and are decreasing the trend is considered bearish (sell signal).
Medium signal :
Dark green signal
When the averaged coefficients lie between -1 and -0.45, are above the short-term SMA (14 periods), and are increasing, and also the average 100 is increasing. It may indicate a bullish dynamic (buy signal).
Light red signal :
Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 is decreasing. It may indicate a bearish dynamic(sell signal).
Light green signal :
When the averaged coefficients lie between -1 and -0.15, are above the short-term SMA (14 periods), and are increasing, and also the average 100 & 400 is increasing . It may indicate a bullish dynamic (buy signal).
Dark red signal :
Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 & 400 is decreasing. It may indicate a bearish dynamic(sell signal).
These additional conditions further refine the signals by verifying the consistency of the movement over longer periods. They check that the trends from the respective averages (intermediate and long-term) are in line with the direction indicated by the initial moving average.
These conditions are designed to capture moments when the oscillator's dynamics change, which can be interpreted as opportunities to enter or exit a trade.
4. Multi-Timeframes and Display
One of the main strengths of this indicator is its multi-timeframe approach.
This offers several advantages:
Comparative Analysis: Compare short-term dynamics with broader trends.
Enhanced Signal Reliability: A signal confirmed across multiple timeframes has a higher probability of success.
To visually highlight these signals on the chart, the indicator uses the plotchar() function with distinct symbols for each timeframe:
Current Timeframe: Signals are represented by the character "1"
30-Minute Timeframe: Displayed with the character "2".
1-Hour Timeframe: Displayed with the character "3".
4-Hour Timeframe: Displayed with the character "4".
The colors used are various shades of green for buy signals and shades of red/orange for sell signals, making it easy to distinguish between the different alerts.
5. Integrated Alerts
To avoid missing any trading opportunities, the indicator includes an alert condition via the alertcondition() function. This alert is triggered if any buy or sell signal is generated on any of the analyzed timeframes. The message "MTF valide" indicates that multiple timeframes are confirming the signal, enabling more informed decision-making.
6. How to Use This Indicator
Installation and Configuration: Copy the script into the TradingView Pine Script editor and add it to your chart. The default parameters can be tuned according to market behavior or personal preferences regarding sensitivity and responsiveness.
Interpreting the Signals:
Watch for the symbols on the chart corresponding to each timeframe.
A buy signal appears as a specific symbol below the bar (indicating a bullish condition based on a rising or less negative correlation), while a sell signal appears above the bar.
Multi-Timeframe Analysis: By comparing signals across timeframes, you can filter out false signals. For example, if the short-term timeframe shows a buy signal but the 4-hour timeframe indicates a bearish trend, you may need to reassess your position.
Adjusting the Settings: Depending on the asset type or market volatility, you might need to tweak the periods (startPeriod, periodIncrement) or the number of linear regressions to generate signals that better align with the price dynamics.
Using Alerts: Activate the built-in alert feature so that TradingView notifies you as soon as a multi-timeframe signal is detected. This ensures you stay informed even if you are not continuously monitoring the chart.
In Conclusion
The AWR Pearsons R & LR Oscillator MTF is a powerful tool for traders seeking a detailed understanding of market trends by combining statistical rigor (via Pearson's correlation coefficient) with a multi-timeframe approach. It is capable of generating clear entry and exit signals, visualized with specific symbols and colors depending on the timeframe. By adjusting the parameters to match your trading strategy and leveraging the alert system, you now have a robust instrument for making well-informed market decisions.
Feel free to dive deeper into each component and experiment with different configurations to see how the oscillator integrates with your overall technical analysis strategy. Enjoy exploring its potential and refining your trading approach!
Previous Two Days HL + Asia H/L + 4H Vertical Lines📊 Indicator Overview
This custom TradingView indicator visually marks key market structure levels and session data on your chart using lines, labels, boxes, and vertical guides. It is designed for traders who analyze intraday and multi-session behavior — especially around the New York and Asia sessions — with a focus on 4-hour price ranges.
🔍 What the Indicator Tracks
1. Previous Two Days' Ranges (6PM–5PM NY Time)
PDH/PDL (Day 1 & Day 2): Draws horizontal lines marking the previous two trading days’ highs and lows.
Midlines: Calculates and displays the midpoint between each day’s high and low.
Color-Coded: Uses strong colors for Day 1 and more transparent versions for Day 2, to help differentiate them.
2. Asia Session High/Low (6 PM – 2 AM NY Time)
Automatically tracks the high and low during the Asia session.
Extends these levels until the following day’s NY close (4 PM).
Shows a midline of the Asia session (optional dotted line).
Highlights the Asia session background in gray.
Labels Asia High and Low on the chart for easy reference.
3. Last Closed 4-Hour Candle Range
At the start of every new 4H candle, it:
Draws a box from the last closed 4H candle.
Box spans horizontally across a set number of bars (adjustable).
Top and bottom lines indicate the high and low of that 4H candle.
Midline, 25% (Q1) and 75% (Q3) levels are also drawn inside the box using dotted lines.
Helps traders identify premium/discount zones within the previous 4H range.
4. Vertical 4H Time Markers
Draws vertical dashed lines to mark the start and end of the last 4H candle range.
Based on the standard 4H bar timing in NY (e.g. 5:00, 9:00, 13:00, 17:00).
⚙️ Inputs & Options
Line thickness, color customization for all levels.
Option to place labels on the right or left side of the chart.
Toggle for enabling/disabling the 4H box.
Adjustable box extension length (how far to extend the range visually).
✅ Ideal Use Cases
Identifying reaction zones from prior highs/lows.
Spotting reversals during Asia or NY session opens.
Trading intraday setups based on 4H structure.
Anchoring scalping or swing entries off major session levels.
Higher Timeframe Market StructureHTF Market Structure – ZigZag, Break of Structure & Supply/Demand
This powerful indicator is designed to identify higher-timeframe market structure using a combination of ZigZag patterns, Break of Structure (BOS) signals, and Supply/Demand zones.
Key Features:
Automatic detection of Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH)
Internal structure shifts based on Open or High/Low logic
Supply and Demand zones plotted on the chart
Break of Structure (BOS) lines with optional alerts
Mitigation logic to mark or delete invalidated order blocks
Customizable aggregation factor to view higher time frame structure on lower time frames
How to Use:
Focus on market structure and BOS to understand the current trend.
Watch for internal shifts as early signals of potential reversals.
Use ZigZag lines to connect swing highs and lows to visualize market rhythm.
Supply zones (red) and Demand zones (green) are automatically drawn after structure breaks:
Use Demand Zones in Bullish Markets for the highest probability entries.
Use Supply Zones in Bearish Markets to align with the prevailing trend.
Best Practices:
Only use Demand Zones in Bullish markets and Supply Zones in Bearish markets for optimal results.
Look for price action or reversal signals within these zones to refine your entries.
Enable alerts to get notified on:
New order blocks
Internal shifts
BOS events
HH, HL, LL, LH formations
Liquidity sweeps
Customization Options:
Aggregation Factor: Control how many candles are grouped for structure analysis.
Zone Duration: Define how length of plotted zones.
Mitigation Settings: Automatically delete or fade zones after mitigation.
Colors: Choose custom colors for bullish and bearish zones and structure markers.
This tool is ideal for traders who rely on price action, structure, and smart money concepts. Combine it with your own S&D strategy or integrate it with other confluence tools for even better precision.
Liquidity mark-out indicator(by Lumiere)This indicator marks out every High that has a bullish candle followed by a bearish one, vice versa for lows.
Once the price reaches the marked-out liquidity, the line is removed automatically.
This indicator only shows the current liquidity of the time frame you are at.
(To get it look like the picture just chance the length to 30-50)
Key Features of the Liquidity Mark-Out Indicator:
🔹 Identifies Liquidity Zones – Marks highs and lows based on candlestick patterns.
🔹 Customizable Settings – Toggle highs/lows visibility 🎚️, adjust line colors 🎨, and set line length (bars) 📏.
🔹 Smart Clean-Up – Automatically removes swept levels (when price breaks through) for a clean chart 🧹.
🔹 Pattern-Based Detection –
Highs: Detects two-candle reversal patterns (🟢 bullish close → 🔴 bearish close).
Lows: Detects two-candle reversal patterns (🔴 bearish close → 🟢 bullish close).
🔹 Dynamic Lines – Projects liquidity levels forward (adjustable length) to track key zones 📈.
Perfect For Traders Looking To:
✅ Spot potential liquidity grabs 🎯
✅ Identify key support/resistance levels 🛑
✅ Clean up their chart from outdated levels 🖥️
Standard Deviation ExpectationStandard Deviation Expectation
- First off I want to thank and give credit to #Stockmarketupdate for introducing this idea to me while stumbling across his script for plotting the standard deviation above each candle/price.
Applying Standard Deviation Expectation can aide traders with insight to price projection, expectation, as well as, give hint to price exhaustion.
This indicator helps you identify dynamic support and resistance levels based on price volatility — specifically using standard deviation — on your chosen time frame or a higher time frame (multi-time frame).
It calculates a range around recent price action that adapts based on how volatile the market is.
It plots three lines:
Resistance line (upper boundary)
Support line (lower boundary)
Mid-line (middle of support and resistance)
It colors the area between support and resistance green or red depending on whether the current price is above or below the mid-line.
It alerts you when price crosses the mid-line either upward or downward.
Explanation of Components
Standard deviation is a statistical measure that tells you how much prices vary from the average.
This script calculates Standard Dev. on a selected price source (usually close price) over a specified length (default 8 bars).
Then it multiplies this by a “multiplier” (default 1.75) to set how wide the expected range should be.
More volatility → wider range; less volatility → tighter range.
2. Multi-Timeframe (MTF) Input
You can select a different timeframe (like 1H, 4H, daily) to base calculations on, even if you’re viewing a lower timeframe chart (like 15 min).
This helps smooth out noise and get more meaningful levels from higher timeframes.
3. Calculating Deviation High and Low
Based on whether the higher timeframe candle is bearish or bullish, the indicator adjusts the expected high and low by adding or subtracting the standard deviation.
This creates a dynamic “band” or range around the price on the higher timeframe.
4. Support and Resistance Lines
It calculates the highest deviation high and the lowest deviation low over a look-back period.
Then it smooths these extremes using an Exponential Moving Average (EMA) to avoid choppy lines.
The result is two smooth, adaptive lines — resistance and support.
5. Mid-line
Simply the average of the support and resistance lines.
Acts as a pivot or equilibrium point between support and resistance.
6. Offset
Allows you to shift the lines forwards by a number of bars, which can help with visual alignment or back-testing.
7. Color Fill
The space between support and resistance is filled with a transparent green color if price is above the midline, red if below.
This gives a quick visual cue of bullish or bearish bias.
8. Alerts on Midline Cross
The indicator generates alert conditions when price crosses the midline:
Crosses above → possible bullish sign
Crosses below → possible bearish sign
You can set alerts in Trading-view using these to get notified.
*Don’t rely solely on this indicator. Use it alongside price action and other indicators.
Play with the multiplier and length inputs to see what fits your trading style and the asset’s volatility.
The multi-time frame option is powerful — try using daily or 4H on a 15-min chart to get smoother levels.
Use alerts for mid-line crosses to help you catch potential trade setups without staring at the screen constantly. *
Disclaimer: The information contained in this script does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, back-test, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
This script was produced for educational purposes!
Enjoy!
MTF 5 Big Candles [RanaAlgo]Overview
This Pine Script indicator displays multiple timeframe (MTF) candlesticks from 5 different timeframes on your current chart. It helps traders quickly assess higher timeframe price action without switching charts.
Key Features
5 Customizable Timeframes
Displays candles from user-selected timeframes (e.g., 15m, 30m, 1H, 4H, Daily).
Each candle is offset to avoid clutter.
Visual Customization
Adjustable spacing, width, and colors for bullish/bearish candles.
Option to show/hide wicks, OHLC labels, and price guide lines.
Clear Price Reference
Dotted guide lines extend from the current price to the MTF candles for easy comparison.
OHLC labels (optional) show exact price levels.
and u can also check the remainig time of candles ..
Usefulness
✅ Multi-Timeframe Analysis – Compare trends across different timeframes at a glance.
✅ Avoid Chart Switching – See higher timeframe structure while trading lower TFs.
✅ Identify Key Levels – Spot support/resistance from higher timeframe candles.
✅ Customizable Layout – Adjust spacing and styling to fit your trading style.
Best For
Swing & position traders analyzing multiple timeframes.
Day traders looking for confluence from higher TFs.
Traders who prefer visual candlestick patterns over plain lines.
This script is particularly useful for confirming trends, spotting reversals, and aligning entries with higher timeframe structure.
Chaikin Oscillator Multi-Timeframe BiasOverview
Chaikin Oscillator Multi-Timeframe Bias is an indicator designed to help traders align with institutional buying and selling activity by analyzing Chaikin Oscillator signals across two timeframes—a higher timeframe (HTF) for trend bias and a lower timeframe (LTF) for timing. This dual-confirmation model helps traders avoid false breakouts and trade in sync with market momentum and accumulation or distribution dynamics.
Core Concepts
The Chaikin Oscillator measures the momentum of accumulation and distribution based on price and volume. Institutional traders typically accumulate slowly and steadily, and the Chaikin Oscillator helps reveal this pattern. Multi-timeframe analysis confirms whether short-term price action supports the longer-term trend. This indicator applies a smoothing EMA to each Chaikin Oscillator to help confirm direction and reduce noise.
How to Use the Indicator
Start by selecting your timeframes. The higher timeframe, set by default to Daily, establishes the broader directional bias. The lower timeframe, defaulted to 30 minutes, identifies short-term momentum confirmation. The indicator displays one of five labels: CALL Bias, CALL Wait, PUT Bias, PUT Wait, or NEUTRAL. CALL Bias means both HTF and LTF are bullish, signaling a potential opportunity for long or call trades. CALL Wait indicates that the HTF is bullish, but the LTF hasn’t confirmed yet. PUT Bias signals bearish alignment in both HTF and LTF, while PUT Wait indicates HTF is bearish and LTF has not yet confirmed. NEUTRAL means there is no alignment between timeframes and directional trades are not advised.
Interpretation
When the Chaikin Oscillator is above zero and also above its EMA, this indicates bullish momentum and accumulation. When the oscillator is below zero and below its EMA, it suggests bearish momentum and distribution. Bias labels identify when both timeframes are aligned for a higher-probability directional setup. When a “Wait” label appears, it means one timeframe has confirmed bias but the other has not, suggesting the trader should monitor closely but delay entry.
Notes
This indicator includes alerts for both CALL and PUT bias confirmation when both timeframes are aligned. It works on all asset classes, including stocks, ETFs, cryptocurrencies, and futures. Timeframes are fully customizable, and users may explore combinations such as 1D and 1H, or 4H and 15M depending on their strategy. For best results, consider pairing this tool with volume, volatility, or price action analysis.
Codigo Trading 1.0📌Codigo Trading 1.0
This indicator strategically combines SuperTrend, multiple Exponential Moving Averages (EMAs), the Relative Strength Index (RSI), and the Average True Range (ATR) to offer clear entry and exit signals, as well as an in-depth view of market trends. Ideal for traders looking to optimize their operations with an all-in-one tool.
🔩How the Indicator Works:
This indicator relies on the interaction and confirmation of several key components to generate signals:
SuperTrend: Determines the primary trend direction. An uptrend SuperTrend signal (green line) indicates an upward trend, while a downtrend (red line) signals a downward trend. It also serves as a guide for setting Stop Loss and Take Profit levels.
EMAs: Includes EMAs of 10, 20, 55, 100, 200, and 325 periods. The relationship between the EMA 10 and EMA 20 is fundamental for confirming the strength and direction of movements. An EMA 10 above the EMA 20 suggests an uptrend, and vice versa. Longer EMAs act as dynamic support and resistance levels, offering a broader view of the market structure.
RSI: Used to identify overbought (RSI > 70/80) and oversold (RSI < 30/20) conditions, generating "Take Profit" alerts for potential trade closures.
ATR: Monitors market volatility to help you manage exits. ATR exit signals are triggered when volatility changes direction, indicating a possible exhaustion of the movement.
🗒️Entry and Exit Signals:
I designed specific alerts based on all the indicators I use in conjunction:
Long Entries: When SuperTrend is bullish and EMA 10 crosses above EMA 20.
Short Entries: When SuperTrend is bearish and EMA 10 crosses below EMA 20.
RSI Exits (Take Profit): Indicated by "TP" labels on the chart, when the RSI reaches extreme levels (overbought for longs, oversold for shorts).
EMA 20 Exits: When the price closes below EMA 20 (for longs) or above EMA 20 (for shorts).
ATR Exits: When the ATR changes direction, signaling a possible decrease in momentum.
📌Key Benefits:
Clarity in Trend: Quickly identifies market direction with SuperTrend and EMA alignment.
Strategic Entry and Exit Signals: Receive timely alerts to optimize your entry and exit points.
Assisted Trade Management: RSI and ATR help you consider when to take profits or exit a position.
Intuitive Visualization: Arrows, labels, and colored lines make analysis easy to interpret.
Disclaimer:
Trading in financial markets carries significant risks. This indicator is an analysis tool and should not be considered financial advice. Always conduct your own research and trade at your own risk.
HTF Overlay Candles (Aggregated)🕯️ Synthetic Aggregated Candles
Created by: The_Forex_Steward
License: Mozilla Public License 2.0
🔍 Description
This indicator creates visually aggregated candles directly on your chart, allowing you to view synthetic candlesticks that combine multiple bars into one. It enables a higher-level perspective of price action without switching timeframes.
Each synthetic candle is built by combining a user-defined number of consecutive bars (e.g., 4 bars from the current timeframe form one aggregated candle). It accurately tracks open, high, low, and close values, then draws a colored box and wick to represent the aggregated data.
⚙️ Features
Aggregation Factor: Combine candles over a custom number of bars (e.g., 4 = 4x current TF)
Timezone Alignment: Aggregation is aligned with midnight in UTC-5 (modifiable in code)
Custom Colors: Choose colors for bullish and bearish synthetic candles
Body Opacity: Control the opacity of the candle body for visual clarity
Wick Width: Customize the thickness of the candle wick
📌 Use Case
Ideal for traders looking to:
- Reduce noise in lower timeframes
- Visualize price action in broader chunks
- Spot larger structure and swing patterns without switching charts
📈 How It Works
At every bar, the script checks whether a new aggregation interval has begun (aligned to the day start). If so, it finalizes the previous candle and starts a new one. On the last bar of the chart, it ensures the final synthetic candle is drawn.
✅ Tip
For best results, apply this script on intraday timeframes and experiment with different aggregation factors (4, 6, 12, etc.) to discover the most insightful compression for your strategy.
Note: This script is optimized for visual representation only. It does not repaint, but it is not intended for algorithmic strategies or alerts.
Universal Valuation | QuantMAC🎯 Universal Valuation | QuantMAC
🚀 Professional-Grade Valuation Engine with 14+ Technical Components
The Universal Valuation indicator is a sophisticated composite analysis tool that combines multiple technical indicators, statistical measures, and risk ratios to provide a comprehensive assessment of asset valuation across all market conditions and timeframes.
📊 Core Architecture & Methodology
🔬 Z-Score Normalization System
Each component is normalized using statistical Z-scores, which measure how many standard deviations a value is from its historical mean. This standardization allows different indicators to be combined meaningfully:
Positive Z-scores indicate values above historical average (potentially overvalued)
Negative Z-scores indicate values below historical average (potentially undervalued)
Individual lookback periods for each component ensure optimal sensitivity
Real-time statistical calculations with dynamic standard deviation adjustments
📈 Composite Scoring Algorithm
The final valuation score is calculated as the weighted average of all enabled components, providing a unified view of market conditions while maintaining granular control over individual inputs.
🛠️ Technical Components Breakdown
📊 Momentum & Oscillator Components
🎯 RSI (Relative Strength Index)
Function: Measures price momentum and overbought/oversold conditions
Default Settings: 21-period RSI with 150-period Z-score normalization
Analysis: Values above 70 (traditional) become positive Z-scores, indicating potential overvaluation
Edge: Z-score normalization adapts to changing market volatility unlike fixed thresholds
🌊 CCI (Commodity Channel Index)
Function: Identifies cyclical price patterns and extreme price levels
Default Settings: 30-period CCI with 150-period Z-score normalization
Analysis: Measures price deviation from statistical mean using typical price (HLC/3)
Edge: Excellent for identifying price extremes in trending and ranging markets
🔵 Chande Momentum Oscillator
Function: Advanced momentum indicator using sum of gains vs. sum of losses
Default Settings: 50-period calculation with 50-period Z-score normalization
Analysis: Formula: 100 * (Sum_Gains - Sum_Losses) / (Sum_Gains + Sum_Losses)
Edge: Less prone to whipsaws compared to RSI, better momentum persistence detection
🎭 IMI (Intraday Momentum Index)
Function: Combines RSI concept with intraday price action analysis
Default Settings: 100-period calculation with 150-period Z-score normalization
Analysis: Uses gains/losses based on close vs. open rather than close-to-close
Edge: Captures intraday sentiment and gap behavior effectively
📈 Price Action & Trend Components
📊 Bollinger Bands Position
Function: Measures price position relative to volatility-adjusted bands
Default Settings: 30-period bands with 50-period Z-score normalization
Analysis: (Price - SMA) / (2 * Standard_Deviation) normalized to Z-score
Edge: Adapts to volatility changes, providing context-aware overbought/oversold levels
💹 Price Z-Score
Function: Direct statistical analysis of price deviation from historical mean
Default Settings: 150-period lookback for Z-score calculation
Analysis: Pure price momentum without indicator lag or smoothing
Edge: Unfiltered price analysis, excellent for mean reversion strategies
📊 Disparity Index
Function: Measures percentage deviation of price from its moving average
Default Settings: 10-period SMA with 150-period Z-score normalization
Analysis: 100 * (Price - SMA) / SMA, then normalized to Z-score
Edge: Highly sensitive to short-term price deviations, excellent for timing entries
🎯 TEMA (Triple Exponential Moving Average)
Function: Advanced moving average with reduced lag and improved responsiveness
Default Settings: 10-period TEMA with 150-period Z-score normalization
Analysis: Triple-smoothed EMA that maintains trend-following capability with less noise
Edge: Superior trend identification with minimal lag compared to traditional MAs
📊 Volume & Market Structure Components
📈 VWAP (Volume Weighted Average Price)
Function: Incorporates volume into price analysis for institutional perspective
Default Settings: Standard VWAP with 300-period Z-score normalization
Analysis: Compares current price to volume-weighted institutional benchmark
Edge: Reveals institutional sentiment and identifies fair value zones
⚡ Intraday Momentum
Function: Measures session-based momentum using open-to-close movement
Default Settings: (Close - Open) / Open * 100 with 250-period Z-score normalization
Analysis: Captures daily sentiment and gap behavior in percentage terms
Edge: Excellent for intraday trading and gap analysis strategies
🎲 Advanced Statistical Components
🌊 Hurst Exponent (Optional)
Function: Measures market efficiency and trend persistence characteristics
Default Settings: 100-period calculation with 200-period Z-score normalization
Analysis: Values > 0.5 indicate trending markets, < 0.5 indicate mean-reverting markets
Edge: Identifies market regime changes and optimal strategy selection
Note: Computationally intensive, disabled by default for performance
📊 Risk-Adjusted Performance Ratios
⚡ Sharpe Ratio
Function: Risk-adjusted return measurement using total volatility
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Standard_Deviation of returns
Edge: Identifies periods of superior risk-adjusted performance
🎯 Sortino Ratio
Function: Risk-adjusted return using only downside deviation (superior to Sharpe)
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Downside_Deviation
Edge: More accurate risk assessment as it ignores upside volatility
🌟 Omega Ratio
Function: Advanced risk measure comparing gains above threshold to losses below
Default Settings: 400-period calculation with 200-period Z-score normalization
Analysis: Sum_of_Gains_Above_Threshold / Sum_of_Losses_Below_Threshold
Edge: Captures full return distribution, not just mean and variance
🎨 Visualization & Interface
🌈 Dual Color Schemes
Bright Mode: Vibrant colors for clear daylight visibility
Dark Mode: Muted tones for low-light trading environments
Adaptive Gradients: Color intensity scales with Z-score magnitude
Background Highlighting: Optional panel and chart background coloring for extreme conditions
📊 Comprehensive Data Table
Real-time Z-scores for each enabled component
Composite score with gradient coloring
Valuation phase classification (6 distinct levels)
Toggle individual components on/off for custom analysis
🎯 Valuation Phase Classifications
📈 Systematic Valuation Levels
Extremely Undervalued: Z-score ≤ -2.0 (Exceptional buying opportunity)
Strongly Undervalued: Z-score ≤ -1.3 (Strong buying signal)
Moderately Undervalued: Z-score < -0.65 (Potential buying opportunity)
Fairly Valued: Z-score -0.65 to 0.5 (Neutral zone)
Slightly Overvalued: Z-score 0.5 to 1.2 (Caution zone)
Moderately Overvalued: Z-score 1.2 to 2.0 (Potential selling zone)
Strongly Overvalued: Z-score ≥ 2.0 (Strong selling signal)
🌍 Universal Asset Compatibility
✅ Equity Markets - Individual stocks, ETFs, indices, sector rotation analysis
✅ Cryptocurrency - Bitcoin, altcoins, DeFi tokens, NFT projects
8H
12H
4H
🚀 Key Strategic Advantages
🔬 Scientific Approach
Unlike traditional indicators that use fixed thresholds, the Universal Valuation employs dynamic statistical normalization that adapts to changing market conditions and volatility regimes.
⚡ Multi-Dimensional Analysis
Combines momentum, trend, volume, and risk-adjusted metrics to provide a 360-degree view of market valuation, reducing false signals and improving decision accuracy.
🎯 Customizable Framework
Enable or disable individual components to create custom valuation models tailored to specific assets, strategies, or market conditions.
📊 Institutional-Grade Metrics
Incorporates sophisticated risk ratios (Sharpe, Sortino, Omega) typically used by hedge funds and institutional investors.
💡 Professional Trading Applications
🎯 Mean Reversion Strategies
Identify extreme valuation levels for contrarian entries
Use composite Z-score thresholds for systematic signal generation
Combine with volume analysis for confirmation
📈 Trend Following Enhancement
Avoid trend entries during overvalued conditions
Use undervalued readings to add to existing positions
Time trend continuation trades with valuation support
🔄 Portfolio Management
Asset allocation based on relative valuation scores
Risk management using integrated Sharpe/Sortino ratios
Sector rotation timing using cross-asset comparison
⚡High-Frequency Applications
Intraday momentum component for scalping strategies
VWAP analysis for institutional order flow
Real-time composite scoring for algorithmic systems
🛠️ Configuration Best Practices
📊 Conservative Setup (Long-term)
Enable all components except Hurst Exponent
Use longer Z-score periods (200+) for stability
Focus on -1.3/+2.0 thresholds for major signals
⚡ Aggressive Setup (Short-term)
Emphasize momentum components (RSI, CCI, Chande)
Shorter Z-score periods (50-100) for responsiveness
Use -0.65/+1.2 thresholds for frequent signals
🎯 Risk-Focused Setup
Prioritize Sharpe, Sortino, and Omega ratios
Enable VWAP and price components
Use conservative thresholds with position sizing guidance
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🏆 Professional Multi-Asset Valuation System
The Universal Valuation indicator represents a quantum leap in technical analysis sophistication, combining academic rigor with practical trading applications. By normalizing diverse technical components through statistical Z-scores, it provides objective, data-driven valuation assessments that adapt to any market condition.
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📝 Disclaimer: This indicator is for educational and informational purposes only. The statistical models and risk ratios do not guarantee future performance. Always conduct thorough analysis and implement proper risk management practices.
Median Shifting Band Oscillator | QuantMAC📊 Median Shifting Band Oscillator | QuantMAC
🚀 Revolutionary Trend Analysis with Integrated Performance Metrics
The Median Shifting Band Oscillator (MSBO) is a sophisticated technical analysis tool that combines dynamic median-based band calculations with a powerful oscillator to deliver precise trend identification across all market conditions and asset classes.
🎯 Core Features & Functionality
📈 Advanced Median Band Technology
Dynamic median calculation using customizable lookback periods (default 54 bars)
Adaptive standard deviation bands that adjust to market volatility
Real-time band positioning with visual overlay on price charts
Intelligent band fill visualization for enhanced trend clarity
⚡Precision Oscillator System
Normalized oscillator ranging from -50 to +50 for consistent readings
Customizable threshold levels for long (80) and short (54) signals
Multi-timeframe compatibility with real-time signal generation
Color-coded visualization with 9 professional color schemes
📊 Integrated Performance Dashboard
Real-time metrics calculation with professional statistics
Comprehensive risk metrics: Sharpe, Sortino, Omega ratios
Advanced position sizing with Half Kelly percentage
Maximum drawdown tracking and profit factor analysis
Customizable metrics table positioning (6 locations available)
🛠️ Trading Modes & Flexibility
🎭 Dual Trading Strategies
Long/Short Mode: Full bidirectional trading with short positions
Long/Cash Mode: Conservative approach with cash positions during bearish signals
🎨 Visual Customization
9 professional color schemes (Classic through Classic9)
Configurable date range limiter for backtesting
Force overlay plots for seamless chart integration
Dynamic bar coloring based on trend direction
📈 Performance Metrics Suite
The MSBO includes a comprehensive metrics table displaying:
Risk Analysis: Maximum Drawdown %, Sharpe Ratio, Sortino Ratio
Performance Metrics: Net Profit %, Profit Factor, Win Rate %
Advanced Statistics: Omega Ratio, Half Kelly %, Total Trades
Real-time Updates: Live calculation with every bar confirmation
🌍 Universal Asset Compatibility
✅ Cryptocurrencies - Bitcoin, altcoins, and DeFi tokens
✅ Stock Markets - Individual stocks, ETFs, and indices
🎯 Key Advantages
🔄 Adaptive Intelligence
The median-based approach provides superior noise filtering compared to traditional moving averages, automatically adjusting to changing market volatility patterns.
⚡ Real-time Precision
Advanced signal generation with customizable thresholds ensures optimal entry and exit timing while minimizing false signals.
📊 Professional Analytics
Built-in performance tracking eliminates the need for external backtesting tools, providing instant strategy validation and optimization insights.
🎨 User Experience
Intuitive interface with professional-grade customization options suitable for both retail traders and institutional analysts.
🚀 Getting Started
Add the indicator to your chart
Configure your preferred color scheme and trading mode
Adjust threshold levels based on your risk tolerance
Enable the metrics table for performance tracking
Set date range for historical analysis (optional)
💡 Pro Tips
Trend Confirmation: Use oscillator position relative to zero line for primary trend bias
Signal Quality: Higher threshold values reduce signal frequency but increase accuracy
Multi-Timeframe: Combine with higher timeframe analysis for enhanced precision
Risk Management: Monitor Half Kelly % for optimal position sizing guidance
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🏆 Professional-Grade Tool for Serious Traders
The Median Shifting Band Oscillator represents the evolution of technical analysis, combining time-tested statistical methods with modern computational power to deliver actionable trading insights across all market conditions.
💬 Questions? Comments? Share your them below! 👇
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📝 Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and manage risk appropriately.
15Min Opening Range & Midline (UTC+2) This TradingView script draws the 15-minute Opening Range of the day based on a user-defined start time and plots the high, low, and midline of this range. It works by capturing the high and low of the first 15 minutes of the session, and then extending them for the rest of the trading day. The midline is calculated as the average of the high and low values.
Key Features:
User-configurable start time: Define the hour and minute for when the opening range should start based on your local time zone.
Line customization: Choose the color and line style (solid, dashed, dotted) for the high, low, and midline.
Easy-to-read visual representation: The high and low lines extend across the chart from the range start, with the midline placed in the center.
Dynamic updates: The indicator resets at the start of each new trading day and updates the opening range lines accordingly.
Perfect for:
Traders looking to monitor the initial market range during the first 15 minutes of trading.
Identifying key support and resistance levels based on early price action.
Providing a midline to assess market bias and potential breakouts.
Notes:
The indicator calculates everything based on the local time zone you define and automatically adjusts to your desired start time.
It will not redraw lines; once drawn, they remain on the chart until the next session.
Crystal Buy Sell Liquidity📖 Crystal Buy Sell Liquidity (Crystal BSL)
The Crystal Buy Sell Liquidity (Crystal BSL) is an educational tool designed to support traders in recognizing directional bias and potential liquidity-based reversal zones—particularly during the first hour of market activity. It highlights potential Buy and Sell signals using intuitive labels and optional color-coded candles for improved visual clarity.
This indicator is built for traders who prefer a structured, rule-based approach without the need to constantly interpret raw market data.
📘 How It Works:
Optimized for use on the 1-hour (H1) timeframe.
The script analyzes price behavior during the first session hour to determine potential areas of interest.
Buy and Sell labels appear when key conditions based on market structure and liquidity are met.
Optional candle coloring enhances directional context.
✅ Suggested Use:
Entry: Enter trades when a Buy or Sell label appears and aligns with your personal trading strategy.
Exit / Trade Management:
Consider exiting the trade if the price closes beyond the opposite side of the signal candle.
Use your own risk-reward criteria to set stop loss and take profit.
Always apply responsible risk management.
🔧 Features:
Clean, customizable Buy/Sell signal labels.
Optional color-coded bars for clarity.
Built-in alerts to notify signal events in real-time.
Toggle visibility options for cleaner charts.
⚠️ Important Disclaimer:
This indicator is intended solely for educational purposes. It does not provide financial advice and should not be considered a signal service or investment recommendation. Trading involves risk, and all decisions are made at the user’s discretion. Past performance is not a guarantee of future results. Always test and validate any trading strategy thoroughly before using it in live market conditions.
Average Daily Range [Dova Lazarus]Title: Average Daily Range
Description:
The Average Daily Range (ADR) indicator by Mantique Capital is designed to help traders assess the potential volatility of a trading day. It calculates the average range between daily highs and lows over a user-defined period and plots projected high/low zones based on that range.
Key Features:
📊 Plots ADR-based high and low levels for the current day
🎯 Choose between bullish and bearish bias for level calculation
📈 Optional 30% to 90% intermediate levels with customizable style and color
🏷️ Display percentage labels showing distance in pips
🔁 Adjustable ADR period length and number of days displayed
This indicator is useful for determining how much price movement (volatility) to expect in a given trading day, making it an excellent tool for setting targets, managing risk, and identifying overextension zones.
Inspired by the popular "Best ADR Indicator for MT4"
CHN BUY SELL with EMA 200Overview
This indicator combines RSI 7 momentum signals with EMA 200 trend filtering to generate high-probability BUY and SELL entry points. It uses colored candles to highlight key market conditions and displays clear trading signals with built-in cooldown periods to prevent signal spam.
Key Features
Colored Candles: Visual momentum indicators based on RSI 7 levels
Trend Filtering: EMA 200 confirms overall market direction
Signal Cooldown: Prevents over-trading with adjustable waiting periods
Clean Interface: Simple BUY/SELL labels without clutter
How It Works
Candle Coloring System
Yellow Candles: Appear when RSI 7 ≥ 70 (overbought momentum)
Purple Candles: Appear when RSI 7 ≤ 30 (oversold momentum)
Normal Candles: All other market conditions
Trading Signals
BUY Signal: Triggered when closing price > EMA 200 AND yellow candle appears
SELL Signal: Triggered when closing price < EMA 200 AND purple candle appears
Signal Cooldown
After a BUY or SELL signal appears, the same signal type is suppressed for a specified number of candles (default: 5) to prevent excessive signals in ranging markets.
Settings
RSI 7 Length: Period for RSI calculation (default: 7)
RSI 7 Overbought: Threshold for yellow candles (default: 70)
RSI 7 Oversold: Threshold for purple candles (default: 30)
EMA Length: Period for trend filter (default: 200)
Signal Cooldown: Candles to wait between same signal type (default: 5)
How to Use
Apply the indicator to your chart
Look for yellow or purple colored candles
For LONG entries: Wait for yellow candle above EMA 200, then enter BUY when signal appears
For SHORT entries: Wait for purple candle below EMA 200, then enter SELL when signal appears
Use appropriate risk management and position sizing
Best Practices
Works best on timeframes M15 and higher
Suitable for Forex, Gold, Crypto, and Stock markets
Consider market volatility when setting stop-loss and take-profit levels
Use in conjunction with proper risk management strategies
Technical Details
Overlay: True (plots directly on price chart)
Calculation: Based on RSI momentum and EMA trend analysis
Signal Logic: Combines momentum exhaustion with trend direction
Visual Feedback: Colored candles provide immediate market condition awareness
XAU/USD Custom Levels
XAU/USD Dynamic Support & Resistance Levels
This indicator automatically draws horizontal support and resistance levels for Gold (XAU/USD) based on the current market price, eliminating the need for manual price range adjustments.
**Key Features:**
- **Dynamic Price Range**: Automatically calculates levels above and below the current price using a customizable percentage range (default 5%)
- **Multi-Tier Level System**: Four distinct level types with different visual styling:
- Major Levels (100s) - Blue, thick lines
- Sub Levels (50s) - Red, medium lines
- Sub-Sub Levels (25s) - Yellow, thin lines
- Mini Levels (12.5s) - Gray, dotted lines
- **Fully Customizable**: Adjust range percentage, step size, colors, and line history through input settings
- **Universal Compatibility**: Works at any gold price level - whether $1800, $2500, $3300 or beyond
**How It Works:**
The script centers the level grid around the current closing price and extends lines from a specified number of bars back to the right edge of the chart. The hierarchical level system helps identify key psychological price points and potential support/resistance zones commonly used in gold trading.
**Settings:**
- Price Range %: Control how far above/below current price to draw levels (1-20%)
- Level Step Size: Adjust spacing between levels (1.0-50.0)
- Bars Back: Set how far back in history to start the lines
- Color Customization: Personalize colors for each level type
Perfect for gold traders who need clean, automatically-updating support and resistance levels without manual configuration.
