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Oculus Quantum Master Tool v1The Oculus Quantum Master Tool is your all-in-one market scanner, combining multi-EMA trend analysis, volatility filtering, Fair Value Gap identification, liquidity sweep detection, volume-spike confirmation, and multi-tier profit targets. Built for day traders and swing traders alike, it spots high-probability entries and visualizes key zones so you can trade with precision and confidence. Key Features Multi-EMA Framework: 10/20 fast cross, 50 trend filter, 200 major trend context ATR-Based Targets: 3 customizable exit levels (0.5×, 1×, 2× ATR) Volume Spike Filter: Only signals when current volume > X × average volume Fair Value Gaps: Optional display of bullish/bearish FVG zones Liquidity Sweeps: Detects breaks of recent highs/lows for optimal entries Entry Signals: Buy/Sell arrows only when ALL conditions align Fully Customizable: Toggle any feature on/off to suit your strategy How to Use Set Your Timeframe – Best on 5-min to 1h charts. Adjust Inputs – Modify EMAs, ATR length, volume parameters, and multipliers. Toggle Overlays – Enable/disable FVG zones, targets, or signals in the settings. Trade Execution – Enter on a buy/sell arrow, manage risk with your preferred stop, and scale out at TP1/TP2/TP3. Inputs EMA Fast (default: 10) EMA Slow (20) EMA Trend (50) EMA Major (200) ATR Length (14) TP Multipliers (0.5 / 1.0 / 2.0) Volume Lookback (20) & Spike Multiplier (1.5) Show Fair Value Gaps (on/off) Show Targets (on/off) Show Entry Signals (on/off) Version History v1.0 – Initial release with core multi-EMA, ATR targets, volume filter, FVG & liquidity sweeps. Disclaimer This indicator is for educational purposes. Always backtest before using in live markets and apply proper risk management. Enjoy the edge—and make every move count.
Penunjuk Pine Script®
oleh OnlyOneOculus
Oculus Algo-Adapted SystemOculus Algo-Adapted System The "Oculus Algo-Adapted System" is a powerful trading indicator designed for precision entries, blending multiple technical indicators to provide a comprehensive view of the market. It combines dynamic Exponential Moving Averages (EMA), volume spikes, and liquidity sweep detection to offer accurate entry signals for both long and short positions. Key Features: EMA Crossovers: The system uses two EMAs — a fast 10-period EMA and a slower 20-period EMA — to gauge trend direction. When the fast EMA crosses above the slow EMA, it signals bullish momentum, and vice versa for bearish trends. Volume Spike Detection: The indicator tracks significant volume spikes, highlighting them with background color changes. This helps identify potential breakout or breakdown opportunities. VWAP (Volume Weighted Average Price): The optional VWAP overlay helps traders identify potential support/resistance levels based on volume-weighted price action. Liquidity Sweep Alerts: The indicator identifies liquidity sweeps (also known as wick rejections), marking key reversal points. Bullish sweeps are marked with downward-facing triangles and bearish sweeps with upward-facing triangles. Precise Entry Signals: The indicator uses a combination of volume spikes, EMA direction, and liquidity sweeps to generate clear buy (long) and sell (short) entry signals. Labels appear directly on the chart to indicate when the system triggers a trade. How to Use: Long Entry: A long entry is signaled when a volume spike occurs, followed by a bearish liquidity sweep and the price being above both the 10 EMA and 20 EMA. Short Entry: A short entry is signaled when a volume spike occurs, followed by a bullish liquidity sweep, and the price is below both the 10 EMA and 20 EMA. This indicator is designed for traders looking for high-quality, adaptive trading signals based on real-time market conditions. Feel free to edit this to match your exact preferences or trading style!
Penunjuk Pine Script®
oleh OnlyOneOculus
ATS Net volume EXPERT V5.0ATS NET VOLUME EXPERT V5.0 Smart Money Flow Analysis System (Professional Edition) ▍System Overview ATS NET VOLUME EXPERT V5.0 is an advanced volume-based indicator optimized for institutional capital flow analysis. Featuring new multi-timeframe synergy and enhanced volume bar algorithms, it delivers superior signal accuracy. The system tracks net buying/selling pressure to identify smart money movements while cross-verifying across timeframes to minimize false signals. ▍Key Upgrades 1. Multi-Timeframe Synergy (New Feature) 🔹 Synchronized Timeframe Analysis Displays higher/lower timeframe trends (e.g., 15min + 4H) on your active chart (e.g., 1H) Prevents single-tf misjudgment: *Daily net inflow + 1H net outflow → Likely short-term pullback* Weekly outflow + Daily inflow → Watch for bull traps 🔹 Intelligent Timeframe Matching Auto-links optimal analysis periods (e.g., 5min ↔ 30min) Manual timeframe switching for customized strategies 2. Volume Bar Algorithm Fixes 🔹 Critical Bug Fixes Eliminated extreme market price-volume distortion Enhanced block order detection (no more misclassified retail orders as institutional) 🔹 Dynamic Smoothing Auto-adjusts sensitivity for low-liquidity markets (e.g., crypto) to reduce noise ▍Core Features (Enhanced) ✅ Net Volume Dynamics Real-time buy/sell volume differential (units: millions/billions) NEW: Optional secondary timeframe display below price chart ✅ Smart Money Detection (Upgraded) Adaptive thresholds for different assets (stocks/futures/crypto) ✅ Signal Classification (Refined) Net Volume Range Market Implication Timeframe Confirmation > +50M Strong inflow (Bullish) Require higher tf confirmation +10M to +50M Moderate accumulation Monitor continuation -10M to +10M Neutral zone Price structure decisive -10M to -50M Distribution phase Watch lower tf acceleration < -50M Panic selling (Bearish) Weekly confluence confirms trend ▍Practical Applications 🛡️ Case Study: False Signal Elimination Legacy Issue: 1H showed net buys while 15M was a bull trap V5.0 Solution: 4H net sell warning prevents reversal misreads ⚡ Flash Crash Resilience Accurately flags institutional dumping during volatility spikes ▍Competitive Edge 🚀 Timeframe Harmony: 67% fewer false signals vs. single-tf analysis 🎯 Institutional-Grade Precision: 30% better block order detection 📉 Noise Immunity: 22% lower drawdown in backtesting Pro Tip: Always combine with price action (S/R, trendlines) and require ≥2 timeframe confirmations for high-probability trades. (Optimized for: Stocks/Futures/Crypto/FX – Institutional Liquidity Markets)
Penunjuk Pine Script®
oleh Simon2025_CN
52 Week High/Low with TableHow It Works: Calculates 52-week extremes using weekly highs/lows OR closing prices based on user input Plots "invisible" lines (offset -9999) with trackprice to show values in scale Creates a compact 2x3 table in top-right corner showing: Header row with "Indicator" and "Value" 52W High with green value 52W Low with red value The script now correctly displays the selected 52-week high/low values in a properly formatted table while maintaining the original functionality of showing price levels in the scale.
Penunjuk Pine Script®
oleh muralipcbe
Market Matrix View This technical indicator is designed to provide traders with a quick and integrated view of market dynamics by combining several popular indicators into a single tool. It's not a magic bullet, but a practical aid for analyzing buying/selling pressure, trends, volume, and divergences, saving you time in the decision-making process. Built for flexibility, the indicator adapts to various trading styles (scalping, swing, or long-term) and offers customizable settings to suit your needs. 🟡 Multi-Timeframe Trends ➤ This section displays the trend direction (bullish, bearish, or neutral) across 15-minute, 1-hour, 4-hour, and Daily timeframes, providing multi-timeframe market context. Timeframes lower than the one currently selected will show "N/A." ➤It utilizes fast and slow Exponential Moving Averages (EMAs) for each timeframe: 15m: Fast EMA 42, Slow EMA 170 1h: Fast EMA 40, Slow EMA 100 4h: Fast EMA 36, Slow EMA 107 Daily: Fast EMA 20, Slow EMA 60 🟡 Smart Flow & RVOL ➤ This section displays "Buying Pressure" or "Selling Pressure" signals based on indicator confluence, alongside volume activity ("High Activity," "Normal Activity," or "Low Activity"). ➤ Smart Flow combines Chaikin Money Flow (CMF) and Money Flow Index (MFI) to detect buying/selling pressure. CMF measures money flow based on price position within the high-low range, while MFI analyzes money flow considering typical price and volume. A signal is generated only when both indicators simultaneously increase/decrease beyond an adjustable threshold ("Buy/Sell Sensitivity") and volume exceeds a Simple Moving Average (SMA) scaled by the "Volume Multiplier." ➤ RVOL (Relative Volume) calculates relative volume separately for bullish and bearish candles, comparing recent volume (fast SMA) with a reference volume (slow SMA). Thresholds are adjusted based on the selected mode. 🟡 ADX & RSI This section displays trend strength ("Strong," "Moderate," or "Weak"), its direction ("Bullish" or "Bearish"), and the RSI momentum status ("Overbought," "Oversold," "Buy/Sell Momentum," or "Neutral"). ➤ ADX (Average Directional Index) measures trend strength (above 40 = "Strong," 20–40 = "Moderate," below 20 = "Weak"). Direction is determined by comparing +DI (upward movement) with -DI (downward movement). Additionally, an arrow indicates whether the trend's strength is decreasing or increasing. ➤RSI (Relative Strength Index) evaluates price momentum. Extreme levels (above 80/85 = "Overbought," below 15/20 = "Oversold") and intermediate zones (47–53 = "Neutral," above 53 = "Buy Momentum," below 47 = "Sell Momentum") are adjusted based on the selected mode. 🟡 When these signals are active for a potential trade setup, the table's background lights up green or red, respectively. 🟡 Volume Spikes ➤This feature highlights bars with significantly higher volume than the recent average, coloring them yellow on the chart to draw attention to intense market activity. ➤It uses the Z-Score method to detect volume anomalies. Current volume is compared to a 10-bar Simple Moving Average (SMA) and the standard deviation of volume over the same period. If the Z-Score exceeds a certain threshold, the bar is marked as a volume spike. 🟡 Divergences (Volume Divergence Detection) ➤ This feature marks divergences between price and technical indicators on the chart, using diamond-shaped labels (green for bullish divergences, red for bearish divergences) to signal potential trend reversals. ➤ It compares price deviations from a Simple Moving Average (SMA) with deviations of three indicators: Chaikin Money Flow (CMF), Money Flow Index (MFI), and On-Balance Volume (OBV). A bullish divergence occurs when price falls below its average, but CMF, MFI, and OBV rise above their averages, indicating hidden accumulation. A bearish divergence occurs when price rises above its average, but CMF, MFI, and OBV fall, suggesting distribution. The length of the moving averages is adjustable (default 13/10/5 bars for Scalping/Balanced/Swing), and detection thresholds are scaled by "Divergence Sensitivity" (default 1.0). 🟡 Adaptive Stop-Loss (ATR) ➤Draws dynamic stop-loss lines (red, dashed) on the chart for buy or sell signals, helping traders manage risk.Uses the Average True Range (ATR) to calculate stop-loss levels, set at low/high ± ATR × multiplier 🟡 Settings (Inputs) ➤ The indicator offers customizable settings to fit your trading style, but it's already optimized for Scalping (1m–15m), Balanced (16m–3h59m), and Swing (4h–Daily) modes, which automatically adjust based on the selected timeframe. The visible inputs allow you to adjust the following parameters: Show Info Panel: Enables/disables the information panel (default: enabled). Show Volume Spikes: Turns on/off coloring for volume spike bars (default: enabled). Spike Sensitivity: Controls the Z-Score threshold for detecting volume spikes (default: 2.0; lower values increase signal frequency). Show Divergence: Enables/disables the display of divergence labels (default: enabled). Divergence Sensitivity: Adjusts the thresholds for divergence detection (default: 1.0; higher values reduce sensitivity). Divergence Lookback Length: Sets the length of the moving averages used for divergences (default: 5, automatically adjusted to 13/10/5 for Scalping/Balanced/Swing). RVOL Reference Period: Defines the reference period for relative volume (default: 20, automatically adjusted to 7/15/20). RSI Length: Sets the RSI length (default: 14, automatically adjusted to 5/10/14). Buy Sensitivity: Controls the increase threshold for Buying Pressure signals (default: 0.007; higher values reduce frequency). Sell Sensitivity: Controls the decrease threshold for Selling Pressure signals (default: 0.007; higher values reduce frequency). Volume Multiplier (B/S Pressure): Adjusts the volume threshold for Smart Flow signals (default: 0.6; higher values require greater volume). 🟡 This indicator is a personal project, created to simplify market analysis, but I am not a professional in Pine Script or technical indicators. If you have suggestions for improvement, I'm happy to hear them and learn from them! Important: This indicator is not a standalone solution. For optimal results, it must be integrated into a well-defined trading strategy that includes risk management and other confirmations.
Penunjuk Pine Script®
oleh ToCoMi
Whale Activity[nakano]#### **Title** Whale Activity #### **Summary** This indicator visualizes the micro-level power dynamics occurring inside each candlestick. It analyzes the volume of a user-defined lower timeframe (e.g., 1-second) within each bar of the main chart (e.g., 5-minute) and separately plots the total "buying pressure" (bullish volume) and "selling pressure" (bearish volume) that exceeded a significant volume threshold. It's a tool designed to help you trace the footprints of "whales" (large-scale investors) that are often hidden in standard volume bars. #### **Key Features** * **Bi-directional Volume Bars:** * **Upward Green Bars:** Represent the sum of volume from bullish (up) lower-timeframe candles that exceeded the volume threshold, signifying buying pressure. * **Downward Red Bars:** Represent the sum of volume from bearish (down) lower-timeframe candles that exceeded the threshold, signifying selling pressure. * **Complete Customization:** * **Symbol to Analyze:** Freely select any instrument from any market (Crypto, Stocks, Forex, etc.). * **Analysis Timeframe (Lower):** Choose the granularity of your analysis (1S, 5S, 10S, 1M, etc.) from a dropdown menu. * **Volume Threshold (Lower TF):** Set a minimum volume to filter out market noise and focus only on significant trades. #### **How to Use & Interpretation Tips** * **See Through "Deceptive Volume":** If a 5-minute candle has high total volume, but this indicator shows small green and red bars, it suggests the volume was comprised of many insignificant trades with no clear intent from large players ("whales"). * **Identify Dominant Pressure:** Conversely, a large, protruding green bar with a small red bar indicates strong, persistent buying pressure and potential accumulation. The same applies to selling pressure. * **Threshold Adjustment is Key:** The "Volume Threshold" is critical and varies greatly between assets. A value of `1.0` might be suitable for BTC, while a stock like AAPL might require `100000` (shares). Adjust this value to fit the instrument you are analyzing to unlock the full potential of this tool. #### **Disclaimer** * Using this indicator on high chart timeframes (e.g., 1H, 1D) requires fetching a very large amount of data from the lower timeframe, which may lead to performance issues or script errors. It is recommended for use on intraday timeframes (e.g., 1M, 5M, 15M). * Always ensure the selected "Analysis Timeframe (Lower)" is shorter than or equal to your main chart's timeframe. --- #### **タイトル** Whale Activity #### **概要 (Summary)** このインジケーターは、ローソク足の内部で起きている微細な力関係を可視化します。指定した時間足（例：5分足）の中に含まれる、さらに短い時間足（例：1秒足）の出来高を分析し、閾値を超えた「買い圧力（陽線出来高）」と「売り圧力（陰線出来高）」をそれぞれ合計して、上下のバーで表示します。 通常の出来高バーでは見えない「クジラ（大口投資家）」の動きの痕跡を探るためのツールです。 #### **主な機能 (Key Features)** * **上下の出来高バー:** * **緑のバー（上向き）:** 閾値を超えた陽線（買い）の出来高の合計値を表します。 * **赤のバー（下向き）:** 閾値を超えた陰線（売り）の出来高の合計値を表します。 * **完全なカスタマイズ性:** * **分析する銘柄:** 暗号資産、株式、FXなど、あらゆる銘柄を自由に選択して分析できます。 * **分析する時間足 (下位):** 1秒、5秒、10秒など、分析の粒度をドロップダウンから選択できます。 * **出来高の閾値 (下位TF):** 市場のノイズを除去し、「意味のある」と判断する出来高の基準値を自由に設定できます。 #### **使い方・分析のヒント (How to Use & Interpretation Tips)** * **「見せかけの出来高」を見破る:** 例えば、5分足の出来高が大きくても、このインジケーターのバーが両方とも小さい場合、それは閾値以下の小さな取引の集合であり、大口の明確な意図はないかもしれません。 * **優勢な力の特定:** 逆に、緑のバーだけが突出している場合、誰かが継続的に買い集めている強いシグナルと解釈できます。売りも同様です。 * **閾値の調整が鍵:** 「出来高の閾値」は、分析する銘柄や時間帯によって大きく異なります。BTCなら`1`、AAPL株なら`100000`のように、適切な値に調整することで、初めてこのツールは真価を発揮します。 #### **注意点 (Disclaimer)** * チャートの時間足を長くする（例: 1時間足、日足）と、計算するデータ量が膨大になり、パフォーマンスが低下したり、エラーが発生する可能性があります。分足での使用を推奨します。 * 「分析する時間足 (下位)」は、必ずチャート本体の時間足よりも短いものを選択してください。
Penunjuk Pine Script®
oleh nakanock
RED-E Fakeout Prevention Tool 🔺 RED-E Fakeout Prevention Tool – Volume-Based Confirmation Filter Overview The RED-E Fakeout Prevention Tool is designed to filter out unreliable price action by validating moves based on volume strength. It helps traders avoid fakeouts—false breakouts or breakdowns—by requiring that volume meets specific criteria before considering a move legitimate. Key Settings & How It Works 🔊 Volume Threshold (8,900,000) This sets a fixed minimum volume requirement. If a candle’s volume is below this threshold, it’s considered too weak to confirm a move. 📈 Use Relative Volume (Enabled) When enabled, the tool compares current volume against the average volume over a specified period rather than relying solely on raw volume. This makes the tool adaptable across assets with different liquidity levels. 📊 Relative % (100%) This defines the multiplier for relative volume. A 100% setting means volume must be at least equal to the average to trigger a confirmation. For example, if the average volume is 5 million, the current candle must also exceed 5 million. ⏱️ Periods for Avg (20) This sets the number of previous candles used to calculate the average volume. A 20-period average ensures that only meaningful deviations from recent volume norms trigger signals. Use Case Traders can use this tool in conjunction with price patterns, breakouts, or trend-based strategies to confirm the validity of price moves. By focusing only on high-volume moves, the tool reduces the risk of acting on low-volume traps or fake signals
Penunjuk Pine Script®
oleh rogers1906
Javon MACD 4C Pro v4 - Alert OnlyThis script is a professional-grade MACD histogram transition detector designed for scalpers and momentum traders. It tracks all four momentum states using MACD histogram slope logic: • 🟩 Light Green: Bullish momentum weakening • 🟢 Dark Green: Bullish momentum increasing • 🟥 Light Red: Bearish momentum weakening • 🔴 Dark Red: Bearish momentum increasing The indicator fires precise alerts whenever momentum shifts from one phase to another — including all intra-bull, intra-bear, and bull-to-bear transitions. ✅ Ideal for 1-minute and 5-minute chart scalping ✅ No visual clutter — alert-driven only ✅ Works across all asset classes (Forex, Stocks, Indices, Crypto)
Penunjuk Pine Script®
oleh teachnyou1
Multi‑Day Rolling VWAP with Deviation Bands## 📈 **Multi‑Day Rolling VWAP with Deviation Bands** This script plots **rolling VWAP (Volume Weighted Average Price)** lines over **custom day periods** (e.g. 7, 30, 365 days), helping traders visualize institutional average price zones and potential support/resistance areas. ### 🧠 Key Features: * **Three configurable VWAP periods** (default: 7, 30, 365 days) * **Rolling logic**: VWAPs are calculated using the *last N full calendar days*, not from a fixed point in time * **Optional standard deviation bands** for each VWAP (configurable multiplier) * **Dynamic right-edge labels** to identify each VWAP visually * **Accurate intraday tracking**: updates on the first bar of each new day using price × volume and volume sums ### ⚙️ Inputs: * **VWAP Periods**: Choose how many *daily sessions* to include (e.g., weekly, monthly, yearly) * **Price Source**: Choose from HLC3, close, etc. * **Deviation Bands**: Toggle 1–3 standard deviation bands for each VWAP line * **Label Offset**: Control how far right the labels appear ### 📊 Visual Output: * Three VWAP lines: Fast (blue), Medium (green), and Slow (red) * Upper/lower standard deviation bands around each VWAP (shaded areas) * Labels displayed at the end of chart showing the VWAP period --- ### 🔍 Use Cases: * Identify dynamic **mean-reversion zones** * Spot **trend strength or deviation extremes** * Combine with price action for **high-probability trade setups** > Ideal for both **intraday** and **multi-day swing trading**. Can be used on any chart timeframe!
Penunjuk Pine Script®
oleh Donatello_NT
Momentum Candle SEKOLAH TRADINGMomentum Candle - Sekolah Trading This indicator is intended for scalpers because it has a high probability of winning on the 15-minute and 5-minute timeframes. How to Use: 1. When a large candle with a short wick appears, a signal arrow will be displayed. 2. If the arrow remains visible until the candle closes, you may enter a trade on the next candle. 3. If the signal appears below a bullish candle, you can enter a buy trade following the momentum. If the signal appears above a bearish candle, you can enter a sell trade accordingly. This indicator was developed by the Research and Development team at Sekolah Trading.
Penunjuk Pine Script®
oleh sekolah_trading
7
Dynamic Volume Levels & BreakoutsUpdated and improved v.1.3 Description This mathematical indicator exposes the different volume-weighted multi-temporal key price levels and their breakouts. Background The volume factor allows us to align our analysis to institutional activity, this gives us a guarantee of “true” movement behind the price action. In addition, the 200-session factor naturally acts as a “magnet” where the price tends to interact statistically. Finally, in conjunction with these two variables, multi-temporality is integrated, which gives us a full spectrum of levels of interest. By default, it is designed to work in 1D temporality, the indicator shows breaks and is strategically distributed (most traded time frames). The indicator is fully customizable according to each strategy, although its essence is mostly remarkable in high temporalities. Suggestions for use Institutional levels Dynamic support and resistance Death and Golden Cross Trend confirmation and strength
Penunjuk Pine Script®
oleh carrytradex2
Dynamic Volume Levels & BreakoutsDescription This mathematical indicator exposes the different volume-weighted multi-temporal key price levels and their breakouts. Background The volume factor allows us to align our analysis to institutional activity, this gives us a guarantee of “true” movement behind the price action. In addition, the 200-session factor naturally acts as a “magnet” where the price tends to interact statistically. Finally, in conjunction with these two variables, multi-temporality is integrated, which gives us a full spectrum of levels of interest. By default, the indicator shows breakouts and is strategically distributed (most traded timeframes). The indicator is fully customizable according to each strategy. Suggestions for use Institutional levels Dynamic support and resistance Death and Golden Cross Trend confirmation and strength
Penunjuk Pine Script®
oleh carrytradex2
High Volume Color ChangeHigh Volume Color Change Strategy This indicator combines volume analysis with MACD to identify potential trading opportunities. It tracks trading performance and provides real-time P&L calculations. Key Features: 1. Volume Analysis: - Detects high volume candles (1.5x above average volume) - Uses a 10-bar lookback period for volume comparison - Marks high volume candles on the chart (optional) 2. Trading Signals: - Generates buy signals when price changes direction after a high volume candle - Generates sell signals when price changes direction after a high volume candle - Uses MACD convergence as an additional filter - Shows signal markers on the chart 3. Performance Tracking: - Tracks total trades and profitable trades - Calculates cumulative P&L - Shows current position and unrealized P&L - Displays win rate percentage 4. Money Management: - Uses initial balance to determine position size - Compounds profits/losses for subsequent trades - Calculates P&L based on percentage changes - Tracks current balance and total P&L 5. Customization: - Adjustable volume threshold - Configurable lookback period - Optional display of volume and signal labels - Date range selection for analysis 6. Alerts: - Separate alerts for buy and sell signals - Clear messages indicating signal type The strategy is designed for traders who want to: - Identify high-volume price reversals - Track their trading performance - Manage position sizing based on account balance - Compound their profits/losses - Get clear buy/sell signals with alerts
Penunjuk Pine Script®
oleh carefulChile11423
Quantum Edge Pro - Adaptive AICategorical 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) 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 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. Categories Primary: Trend Analysis Secondary: Mathematical Indicators Tertiary: Educational Tools "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.
Strategi Pine Script®
oleh DskyzInvestments
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Dollar VolumeThe Dollar Volume indicator enhances traditional volume analysis by showing not only the number of shares traded, but also the actual capital exchanged per bar. Using the formula (High+Low)/2×Volume , it calculates dollar volume to give a clearer picture of real market participation. This approach helps traders identify where significant money is flowing—an important distinction when evaluating the strength of price moves or spotting potential institutional activity. Volume bars are color-coded based on price direction, and a 50-period Volume Moving Average (VMA)—set to 50 by default—is plotted as a baseline to define “normal” volume levels. When a bar's volume exceeds this average by a user-defined multiple (default is 2×), it is highlighted: blue by default when volume is bullish and elevated, and maroon when bearish and elevated. This makes it easy to spot unusual or high-impact volume spikes at a glance, especially during potential breakout or reversal setups. In the top-right corner of the chart, a compact display—highlighted in purple by default—shows the current dollar volume, with the option to toggle and view the average dollar volume instead. Meanwhile, the Y-axis continues to show raw share volume, giving you access to both perspectives side by side. With its combination of real capital flow, visual volume signals, and customizable thresholds, the Dollar Volume indicator is a practical and powerful tool for confirming price action, identifying accumulation, and monitoring momentum shifts.
Penunjuk Pine Script®
oleh Traders-Agency
TA Pressure GaugeThe Pressure Gauge indicator is composed of two main plotted elements in Oscillator Mode: the Up/Down Volume Ratio (UDVR) as a histogram, and the Relative Strength (RS) Score as a continuous line. These two metrics work together to provide real-time insights into both volume momentum and relative performance. The UDVR histogram measures the ratio of buying volume to selling volume. Specifically, if the current close is greater than the previous close, the volume for that bar is classified as up volume. If the current close is lower than the previous close, it’s classified as down volume. Over a 50-bar rolling window (or fewer if limited history exists), the sum of up volume is divided by the sum of down volume to calculate the UDVR. The result is normalized and plotted as vertical bars centered around a baseline value of 50. A UDVR value greater than 1 indicates bullish dominance—more buying than selling—while a value less than 1 indicates bearish pressure. The histogram bars are dynamically color-coded: Lime or Green when the UDVR is rising and remains above 1, signaling increasing buying strength. Red or Maroon when the UDVR is falling and below 1, indicating growing selling pressure. The second component is the Relative Strength Score (RS Score), plotted as a line graph overlaid on the oscillator. This is calculated by dividing the current closing price of the selected asset by the closing price of a benchmark index (e.g., SPX). The result is normalized over a selectable lookback period—63 bars (3 months), 126 bars (6 months), or 251 bars (12 months)—and then converted into a value between 1 and 99. This RS line reflects how well the asset is performing compared to the broader market. When the RS Score is above 70, it indicates strong outperformance and leadership; below 30 suggests underperformance. The true value of Oscillator Mode is in its ability to combine these two readings visually. When both the UDVR histogram is green and elevated, and the RS line is rising and above 70, it often indicates strong institutional accumulation and momentum—key ingredients for high-probability breakout or trend-following trades. This dual-layered confirmation system enables traders to cut through noise and focus on setups that align both in volume strength and market relative performance. The oscillator can be fully customized within the script to change colors, sizing, and input periods, making it flexible for various trading styles and timeframes. Look at this textbook flag forming on ticker symbol WGS. The setup was clean, and the Pressure Gauge was already showing bullish signals. Following the breakout, you can see how the move confirmed what the Pressure Gauge was indicating early on—strong buying pressure and clear relative strength.
Penunjuk Pine Script®
oleh Traders-Agency
VWAP&5EMA📘 VWAP + 5 EMA Combo This indicator provides a clean and modular framework for tracking key moving averages and VWAP levels. Ideal for intraday and swing traders, it allows full control over which components to display. ✅ Features: Rolling VWAP – volume-weighted moving average over a custom period Session VWAP – standard intraday VWAP Daily EMA (D1) – from higher timeframe Intraday EMA – based on current chart 5 Custom EMAs – fully adjustable and individually toggleable (default: 9, 21, 50, 100, 200) 🎯 Use Case: Quickly assess dynamic support/resistance, confluence zones, and trend alignment across timeframes – without clutter. All lines are optional and independently configurable.
Penunjuk Pine Script®
oleh Precious_Life
Candle Traded Value (₹ Cr)This indicator visualizes the traded value (Volume × Close Price) of each candle in ₹ Crores. It helps identify high-activity candles based on total money flow rather than just volume. 🔹 Histogram Bar Color Logic: 🟧 Orange: > ₹50 Cr 🔴 Red: > ₹10 Cr ⚫ Black: > ₹4 Cr 🔵 Blue (default): ≤ ₹4 Cr 🔹 Features: 20-candle average line (blue) for trend comparison Labels on candles with traded value > ₹4 Cr (rounded to whole numbers) Use this to quickly spot big-money activity and volume spikes in rupee terms.
Penunjuk Pine Script®
oleh ranjith-hyd-ind