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Correlation HeatMap [TradingFinder] Sessions Data Science Stats🔵 Introduction n financial markets, correlation describes the statistical relationship between the price movements of two assets and how they interact over time. It plays a key role in both trading and investing by helping analyze asset behavior, manage portfolio risk, and understand intermarket dynamics. The Correlation Heatmap is a visual tool that shows how the correlation between multiple assets and a central reference asset (the Main Symbol) changes over time. It supports four market types forex, stocks, crypto, and a custom mode making it adaptable to different trading environments. The heatmap uses a color-coded grid where warmer tones represent stronger negative correlations and cooler tones indicate stronger positive ones. This intuitive color system allows traders to quickly identify when assets move together or diverge, offering real-time insights that go beyond traditional correlation tables. 🟣 How to Interpret the Heatmap Visually ? Each cell represents the correlation between the main symbol and one compared asset at a specific time. Warm colors (e.g. red, orange) suggest strong negative correlation as one asset rises, the other tends to fall. Cool colors (e.g. blue, green) suggest strong positive correlation both assets tend to move in the same direction. Lighter shades indicate weaker correlations, while darker shades indicate stronger correlations. The heatmap updates over time, allowing users to detect changes in correlation during market events or trading sessions. One of the standout features of this indicator is its ability to overlay global market sessions such as Tokyo, London, New York, or major equity opens directly onto the heatmap timeline. This alignment lets traders observe how correlation structures respond to real-world session changes. For example, they can spot when assets shift from being inversely correlated to moving together as a new session opens, potentially signaling new momentum or macro flow. The customizable symbol setup (including up to 20 compared assets) makes it ideal not only for forex and crypto traders but also for multi-asset and sector-based stock analysis. 🟣 Use Cases and Advantages Analyze sector rotation in equities by tracking correlation to major indices like SPX or DJI. Monitor altcoin behavior relative to Bitcoin to find early entry opportunities in crypto markets. Detect changes in currency alignment with DXY across trading sessions in forex. Identify correlation breakdowns during market volatility, signaling possible new trends. Use correlation shifts as confirmation for trade setups or to hedge multi-asset exposure 🔵 How to Use Correlation is one of the core concepts in financial analysis and allows traders to understand how assets behave in relation to one another. The Correlation Heatmap extends this idea by going beyond a simple number or static matrix. Instead, it presents a dynamic visual map of how correlations shift over time. In this indicator, a Main Symbol is selected as the reference point for analysis. In standard modes such as forex, stocks, or crypto, the symbol currently shown on the main chart is automatically used as the main symbol. This allows users to begin correlation analysis right away without adjusting any settings. The horizontal axis of the heatmap shows time, while the vertical axis lists the selected assets. Each cell on the heatmap shows the correlation between that asset and the main symbol at a given moment. This approach is especially useful for intermarket analysis. In forex, for example, tracking how currency pairs like OANDA:EURUSD EURUSD, FX:GBPUSD GBPUSD, and PEPPERSTONE:AUDUSD AUDUSD correlate with TVC:DXY DXY can give insight into broader capital flow. If these pairs start showing increasing positive correlation with DXY say, shifting from blue to light green it could signal the start of a new phase or reversal. Conversely, if negative correlation fades gradually, it may suggest weakening relationships and more independent or volatile movement. In the crypto market, watching how altcoins correlate with Bitcoin can help identify ideal entry points in secondary assets. In the stock market, analyzing how companies within the same sector move in relation to a major index like SP:SPX SPX or DJ:DJI DJI is also a highly effective technique for both technical and fundamental analysts. This indicator not only visualizes correlation but also displays major market sessions. When enabled, this feature helps traders observe how correlation behavior changes at the start of each session, whether it's Tokyo, London, New York, or the opening of stock exchanges. Many key shifts, breakouts, or reversals tend to happen around these times, and the heatmap makes them easy to spot. Another important feature is the market selection mode. Users can switch between forex, crypto, stocks, or custom markets and see correlation behavior specific to each one. In custom mode, users can manually select any combination of symbols for more advanced or personalized analysis. This makes the heatmap valuable not only for forex traders but also for stock traders, crypto analysts, and multi-asset strategists. Finally, the heatmap's color-coded design helps users make sense of the data quickly. Warm colors such as red and orange reflect stronger negative correlations, while cool colors like blue and green represent stronger positive relationships. This simplicity and clarity make the tool accessible to both beginners and experienced traders. 🔵 Settings Correlation Period: Allows you to set how many historical bars are used for calculating correlation. A higher number means a smoother, slower-moving heatmap, while a lower number makes it more responsive to recent changes. Select Market: Lets you choose between Forex, Stock, Crypto, or Custom. In the first three options, the chart’s active symbol is automatically used as the Main Symbol. In Custom mode, you can manually define the Main Symbol and up to 20 Compared Symbols. Show Open Session: Enables the display of major trading sessions such as Tokyo, London, New York, or equity market opening hours directly on the timeline. This helps you connect correlation shifts with real-world market activity. Market Mode: Lets you select whether the displayed sessions relate to the forex or stock market. 🔵 Conclusion The Correlation Heatmap is a robust and flexible tool for analyzing the relationship between assets across different markets. By tracking how correlations change in real time, traders can better identify alignment or divergence between symbols and gain valuable insights into market structure. Support for multiple asset classes, session overlays, and intuitive visual cues make this one of the most effective tools for intermarket analysis. Whether you’re looking to manage portfolio risk, validate entry points, or simply understand capital flow across markets, this heatmap provides a clear and actionable perspective that you can rely on.
Indicador Pine Script®
por TFlab
3
FEDFUNDS Rate Divergence Oscillator [BackQuant]FEDFUNDS Rate Divergence Oscillator 1. Concept and Rationale The United States Federal Funds Rate is the anchor around which global dollar liquidity and risk-free yield expectations revolve. When the Fed hikes, borrowing costs rise, liquidity tightens and most risk assets encounter head-winds. When it cuts, liquidity expands, speculative appetite often recovers. Bitcoin, a 24-hour permissionless asset sometimes described as “digital gold with venture-capital-like convexity,” is particularly sensitive to macro-liquidity swings. The FED Divergence Oscillator quantifies the behavioural gap between short-term monetary policy (proxied by the effective Fed Funds Rate) and Bitcoin’s own percentage price change. By converting each series into identical rate-of-change units, subtracting them, then optionally smoothing the result, the script produces a single bounded-yet-dynamic line that tells you, at a glance, whether Bitcoin is outperforming or underperforming the policy backdrop—and by how much. 2. Data Pipeline • Fed Funds Rate – Pulled directly from the FRED database via the ticker “FRED:FEDFUNDS,” sampled at daily frequency to synchronise with crypto closes. • Bitcoin Price – By default the script forces a daily timeframe so that both series share time alignment, although you can disable that and plot the oscillator on intraday charts if you prefer. • User Source Flexibility – The BTC series is not hard-wired; you can select any exchange-specific symbol or even swap BTC for another crypto or risk asset whose interaction with the Fed rate you wish to study. 3. Math under the Hood (1) Rate of Change (ROC) – Both the Fed rate and BTC close are converted to percent return over a user-chosen lookback (default 30 bars). This means a cut from 5.25 percent to 5.00 percent feeds in as –4.76 percent, while a climb from 25 000 to 30 000 USD in BTC over the same window converts to +20 percent. (2) Divergence Construction – The script subtracts the Fed ROC from the BTC ROC. Positive values show BTC appreciating faster than policy is tightening (or falling slower than the rate is cutting); negative values show the opposite. (3) Optional Smoothing – Macro series are noisy. Toggle “Apply Smoothing” to calm the line with your preferred moving-average flavour: SMA, EMA, DEMA, TEMA, RMA, WMA or Hull. The default EMA-25 removes day-to-day whips while keeping turning points alive. (4) Dynamic Colour Mapping – Rather than using a single hue, the oscillator line employs a gradient where deep greens represent strong bullish divergence and dark reds flag sharp bearish divergence. This heat-map approach lets you gauge intensity without squinting at numbers. (5) Threshold Grid – Five horizontal guides create a structured regime map:  • Lower Extreme (–50 pct) and Upper Extreme (+50 pct) identify panic capitulations and euphoria blow-offs.  • Oversold (–20 pct) and Overbought (+20 pct) act as early warning alarms.  • Zero Line demarcates neutral alignment. 4. Chart Furniture and User Interface • Oscillator fill with a secondary DEMA-30 “shader” offers depth perception: fat ribbons often precede high-volatility macro shifts. • Optional bar-colouring paints candles green when the oscillator is above zero and red below, handy for visual correlation. • Background tints when the line breaches extreme zones, making macro inflection weeks pop out in the replay bar. • Everything—line width, thresholds, colours—can be customised so the indicator blends into any template. 5. Interpretation Guide Macro Liquidity Pulse  • When the oscillator spends weeks above +20 while the Fed is still raising rates, Bitcoin is signalling liquidity tolerance or an anticipatory pivot view. That condition often marks the embryonic phase of major bull cycles (e.g., March 2020 rebound).  • Sustained prints below –20 while the Fed is already dovish indicate risk aversion or idiosyncratic crypto stress—think exchange scandals or broad flight to safety. Regime Transition Signals  • Bullish cross through zero after a long sub-zero stint shows Bitcoin regaining upward escape velocity versus policy.  • Bearish cross under zero during a hiking cycle tells you monetary tightening has finally started to bite. Momentum Exhaustion and Mean-Reversion  • Touches of +50 (or –50) come rarely; they are statistically stretched events. Fade strategies either taking profits or hedging have historically enjoyed positive expectancy.  • Inside-bar candlestick patterns or lower-timeframe bearish engulfings simultaneously with an extreme overbought print make high-probability short scalp setups, especially near weekly resistance. The same logic mirrors for oversold. Pair Trading / Relative Value  • Combine the oscillator with spreads like BTC versus Nasdaq 100. When both the FED Divergence oscillator and the BTC–NDQ relative-strength line roll south together, the cross-asset confirmation amplifies conviction in a mean-reversion short.  • Swap BTC for miners, altcoins or high-beta equities to test who is the divergence leader. Event-Driven Tactics  • FOMC days: plot the oscillator on an hourly chart (disable ‘Force Daily TF’). Watch for micro-structural spikes that resolve in the first hour after the statement; rapid flips across zero can front-run post-FOMC swings.  • CPI and NFP prints: extremes reached into the release often mean positioning is one-sided. A reversion toward neutral in the first 24 hours is common. 6. Alerts Suite Pre-bundled conditions let you automate workflows: • Bullish / Bearish zero crosses – queue spot or futures entries. • Standard OB / OS – notify for first contact with actionable zones. • Extreme OB / OS – prime time to review hedges, take profits or build contrarian swing positions. 7. Parameter Playground • Shorten ROC Lookback to 14 for tactical traders; lengthen to 90 for macro investors. • Raise extreme thresholds (for example ±80) when plotting on altcoins that exhibit higher volatility than BTC. • Try HMA smoothing for responsive yet smooth curves on intraday charts. • Colour-blind users can easily swap bull and bear palette selections for preferred contrasts. 8. Limitations and Best Practices • The Fed Funds series is step-wise; it only changes on meeting days. Rapid BTC oscillations in between may dominate the calculation. Keep that perspective when interpreting very high-frequency signals. • Divergence does not equal causation. Crypto-native catalysts (ETF approvals, hack headlines) can overwhelm macro links temporarily. • Use in conjunction with classical confirmation tools—order-flow footprints, market-profile ledges, or simple price action to avoid “pure-indicator” traps. 9. Final Thoughts The FEDFUNDS Rate Divergence Oscillator distills an entire macro narrative monetary policy versus risk sentiment into a single colourful heartbeat. It will not magically predict every pivot, yet it excels at framing market context, spotting stretches and timing regime changes. Treat it as a strategic compass rather than a tactical sniper scope, combine it with sound risk management and multi-factor confirmation, and you will possess a robust edge anchored in the world’s most influential interest-rate benchmark. Trade consciously, stay adaptive, and let the policy-price tension guide your roadmap.
Indicador Pine Script®
por BackQuant
1
Horizontal Grid from Base PriceSupport & Resistance Indicator function This inductor is designed to analyze the "resistance line" according to the principle of mother fish technique, with the main purpose of: • Measure the price swing cycle (Price Swing Cycle) • analyze the standings of a candle to catch the tempo of the trade • Used as a decision sponsor in conjunction with Price Action and key zones. ⸻ 🛠️ Main features 1. Create Automatic Resistance Boundary • Based on the open price level of the Day (Initial Session Open) bar. • It's the main reference point for building a price framework. 2. Set the distance around the resistance line. • like 100 dots/200 dots/custom • Provides systematic price tracking (Cycle). 3. Number of lines can be set. • For example, show 3 lines or more of the top-bottom lines as needed. 4. Customize the color and style of the line. • The line color can be changed, the line will be in dotted line format according to the user's style. • Day/night support (Dark/Light Theme) 5. Support for use in conjunction with mother fish techniques. • Use the line as a base to observe whether the "candle stand above or below the line". • It is used to help see the behavior of "standing", "loosing", or "flow" of prices on the defensive/resistance line. 6. The default is available immediately. • The default is based on the current Day bar opening price. • Round distance, e.g. 200 points, top and bottom, with 3 levels of performance
Indicador Pine Script®
por tnbd491
Internal Candle Strength [LuxAlgo]The Internal Candle Strength tool allows traders to divide each chart bar into multiple rows of custom size and inspect the strength of the lower timeframes trends located within each row. This tool effectively helps traders in identifying the power dynamic between bulls and bears within multiple areas within each bar, providing the ability to conduct LTF analysis. 🔶 USAGE The strength displayed within each row ranges from 0% to 100%, with 0% being the most bearish and 100% being the most bullish. Traders should be aware of the extreme probabilities located at the higher/lower end of the bars, as this can signal a change in strength and price direction. Traders can select the lower timeframe to pull the data from or the row size in the scale of the chart. Selecting a lower timeframe will provide more data to evaluate an area's strength. Do note that only a timeframe lower than the chart timeframe should be selected. 🔹 Row Size Selecting a smaller row size will increase the number of rows per bar, allowing for a more detailed analysis. A lower value will also generally mean that less data will be considered when calculating the strength of a specific area. As we can see on the chart above (all BTCUSD 30m), by selecting a different row size, traders can control how many rows are displayed per bar. 🔶 SETTINGS Timeframe: Lower timeframe used to calculate the candle strength. Row Size: Size of each row on the chart scale, expressed as a fraction of the candle range.
Indicador Pine Script®
por LuxAlgo
18
RSI-BBGun-v6.1RSI BB Gun – Operator's Guide “Eyes on target. Wait for the right moment. Then strike.” ________________________________________ 🎯 Mission Objective RSI BB Gun identifies extreme market conditions using RSI and Bollinger Bands, then overlays trend and volatility intelligence so you know when the setup is real. The ❌ is your target acquisition signal—price just moved from an extreme zone back into play. Now you’ve got a clean radar lock. ________________________________________ 📡 How to Operate 🟣 Step 1: Watch for the ❌'s (Black X = RSI & Bollinger Band Extremes Encountered) • The Purple X means price and RSI are both stretched—and just snapped back into range. • The target is now in the cross hairs and potentially ready for engagement. 🟥 Step 2: Confirm the Trend • The thick ribbon tells you if the trend is with you: o 🟢 Green = Uptrend. Focus on long setups. o 🔴 Red = Downtrend. Focus on puts or short plays. • Align with trend. Only engage when the field favors your position. 🔺 Step 3: Evaluate Signal Context • Green Triangles = price just crossed below lower Bollinger Band (oversold). • Red Triangles = price crossed above upper Band (overbought). • Horizontal Lines Disappeared = The bar after the green or red horizontal line disappears means its time. We patiently wait for this as it means the momentum may be changing. • These are your early indicators—they scout the setup on the GO / NO GO DECISION. • ❌ + triangle + trend = clean shot. ________________________________________ ☁️ Avoid These Situations • ❌ in a choppy/no-trend zone = false alarm. Don’t engage. • Repeated black ❌s without a purple ❌confirmation = low conviction. Let it go. ________________________________________ ________________________________________ 🪖 Operator's Mindset “You don’t chase trades. You stalk them. When the ❌ flashes, the system has found a target. What you do next is up to your discipline, your tools, and your plan.” ________________________________________ Note: This is a free version. Upcoming paid version includes multi-timeframes working together. Multiple strategies. Volatility meter. Make money and master the BB Gun so that you can elevate to the Snipers weapon. 🔒 Want More Firepower? Upgraded version coming soon. Unlocks next-gen targeting tools: • Multi-timeframe RSI intelligence in a live dashboard • Precision-timed combo signals based on layered volatility + RSI logic • Advanced trend filters, trade zone overlays, and sniper-level entry indicators • Ideal for swing traders and options strategists who want clarity under pressure 💥 Budget-friendly. No subscription. Upgrade when you're ready to go Pro. Tip: Make 4+ trades mastering this setup. Then use a small portion of the trades to gain more features. Always be in a position you cannot lose. 🆚 Why This Beats Standard RSI/BB Tools Mission Feature Basic Indicators RSI Ribbon Lite Trend Confirmation ❌ ✅ Ribbon Overlay Multi-Timeframe Awareness ❌ ✅ 5-Timeframe RSI Grid Volatility Confirmation ❌ ✅ Weighted ATR Scoring Combo Signal Alerts ❌ ✅ ❌ Reentry Combo Alerts TradingView Alerts ❌ ✅ Built-In Radar Ping #rsi #bb #bollingerbands #hull ma #trend
Indicador Pine Script®
por TheAITradingDesk
7
Gann Support and Resistance LevelsThis indicator plots dynamic Gann Degree Levels as potential support and resistance zones around the current market price. You can fully customize the Gann degree step (e.g., 45°, 30°, 90°), the number of levels above and below the price, and the price movement per degree to fine-tune the levels to your strategy. Key Features: ✅ Dynamic levels update automatically with the live price ✅ Adjustable degree intervals (Gann steps) ✅ User control over how many levels to display above and below ✅ Fully customizable label size, label color, and text color for mobile-friendly visibility ✅ Clean visual design for easy chart analysis How to Use: Gann levels can act as potential support and resistance zones. Watch for price reactions at major degrees like 0°, 90°, 180°, and 270°. Can be combined with other technical tools like price action, trendlines, or Gann fans for deeper analysis. 📌 This tool is perfect for traders using Gann theory, grid-based strategies, or those looking to enhance their visual trading setups with structured levels.
Indicador Pine Script®
por signaltriangle
1
Grothendieck-Teichmüller Geometric SynthesisDskyz's Grothendieck-Teichmüller Geometric Synthesis (GTGS) THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES The 🎓 GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementation—such a task would demand computational power far beyond current trading platforms—it leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures. 1. Grothendieck-Teichmüller Theory: Deforming Market Structure The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces. Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts. 2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency. Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty. 3. Tropical Geometry: Simplifying Complexity The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication. Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly. 4. Motivic Cohomology & Non-Commutative Geometry The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces. Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements. 5. Perfectoid Spaces & Homotopy Type Theory The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics. Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis. The Combination is Key : No single theory dominates. GTGS ’s Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains. 🎛️ INPUTS: CONFIGURING THE GEOMETRIC ENGINE The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision. Grothendieck-Teichmüller Theory Inputs 🧬 Deformation Depth (Absolute Galois) : What It Is : Controls the depth of Galois group deformations analyzed in market structure. How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries. Optimization : Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D). Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min). Timeframes : Scalping (1-5min) : 3-6 for quick local shifts. Day Trading (15min-1H) : 8-12 for balanced analysis. Swing Trading (4H-1D) : 12-20 for deep structural trends. Sectors : Stocks : Use 8-12 for stable trends. Crypto : 3-8 for volatile, short-term moves. Forex : 12-15 for smooth, cyclical patterns. Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity. 🗼 Teichmüller Tower Height : What It Is : Determines the height of the Teichmüller modular tower for hierarchical pattern detection. How It Works : Builds modular levels to identify nested market patterns. Optimization : Higher Values (6-8) : Detects complex fractals, ideal for swing trading. Lower Values (2-4) : Focuses on primary patterns, faster for scalping. Timeframes : Scalping : 2-3 for speed. Day Trading : 4-5 for balanced patterns. Swing Trading : 5-8 for deep fractals. Sectors : Indices : 5-8 for robust, long-term patterns. Crypto : 2-4 for rapid shifts. Commodities : 4-6 for cyclical trends. Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware. 🔢 Galois Prime Base : What It Is : Sets the prime base for Galois field computations. How It Works : Defines the field extension characteristic for market analysis. Optimization : Prime Characteristics : 2 : Binary markets (up/down). 3 : Ternary states (bull/bear/neutral). 5 : Pentagonal symmetry (Elliott waves). 7 : Heptagonal cycles (weekly patterns). 11,13,17,19 : Higher-order patterns. Timeframes : Scalping/Day Trading : 2 or 3 for simplicity. Swing Trading : 5 or 7 for wave or cycle detection. Sectors : Forex : 5 for Elliott wave alignment. Stocks : 7 for weekly cycle consistency. Crypto : 3 for volatile state shifts. Pro Tip : Use 7 for most markets; 5 for Elliott wave traders. Topos Theory & Sheaf Cohomology Inputs 🏛️ Temporal Site Size : What It Is : Defines the number of time points in the topological site. How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness. Optimization : Higher Values (30-50) : Smoother cohomology, better for trends in swing trading. Lower Values (5-15) : Responsive, ideal for reversals in scalping. Timeframes : Scalping : 5-10 for quick responses. Day Trading : 15-25 for balanced analysis. Swing Trading : 25-50 for smooth trends. Sectors : Stocks : 25-35 for stable trends. Crypto : 5-15 for volatility. Forex : 20-30 for smooth cycles. Pro Tip : Match site size to your average holding period in bars for optimal coherence. 📐 Sheaf Cohomology Degree : What It Is : Sets the maximum degree of cohomology groups computed. How It Works : Higher degrees capture complex topological obstructions. Optimization : Degree Meanings : 1 : Simple obstructions (basic support/resistance). 2 : Cohomological pairs (double tops/bottoms). 3 : Triple intersections (complex patterns). 4-5 : Higher-order structures (rare events). Timeframes : Scalping/Day Trading : 1-2 for simplicity. Swing Trading : 3 for complex patterns. Sectors : Indices : 2-3 for robust patterns. Crypto : 1-2 for rapid shifts. Commodities : 3-4 for cyclical events. Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection. 🌐 Grothendieck Topology : What It Is : Chooses the Grothendieck topology for the site. How It Works : Affects how local data integrates into global patterns. Optimization : Topology Characteristics : Étale : Finest topology, captures local-global principles. Nisnevich : A1-invariant, good for trends. Zariski : Coarse but robust, filters noise. Fpqc : Faithfully flat, highly sensitive. Sectors : Stocks : Zariski for stability. Crypto : Étale for sensitivity. Forex : Nisnevich for smooth trends. Indices : Zariski for robustness. Timeframes : Scalping : Étale for precision. Swing Trading : Nisnevich or Zariski for reliability. Pro Tip : Start with Étale for precision; switch to Zariski in noisy markets. Unified Field Configuration Inputs ⚛️ Field Coupling Constant : What It Is : Sets the interaction strength between geometric components. How It Works : Controls signal amplification in the unified field equation. Optimization : Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets. Lower Values (0.001-0.1) : Subtle signals for trending markets. Timeframes : Scalping : 0.5-0.8 for quick, strong signals. Swing Trading : 0.1-0.3 for trend confirmation. Sectors : Crypto : 0.5-1.0 for volatility. Stocks : 0.1-0.3 for stability. Forex : 0.3-0.5 for balance. Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets. 📐 Geometric Weighting Scheme : What It Is : Determines the framework for combining geometric components. How It Works : Adjusts emphasis on different mathematical structures. Optimization : Scheme Characteristics : Canonical : Equal weighting, balanced. Derived : Emphasizes higher-order structures. Motivic : Prioritizes arithmetic properties. Spectral : Focuses on frequency domain. Sectors : Stocks : Canonical for balance. Crypto : Spectral for volatility. Forex : Derived for structured moves. Indices : Motivic for arithmetic cycles. Timeframes : Day Trading : Canonical or Derived for flexibility. Swing Trading : Motivic for long-term cycles. Pro Tip : Start with Canonical; experiment with Spectral in volatile markets. Dashboard and Visual Configuration Inputs 📋 Show Enhanced Dashboard, 📏 Size, 📍 Position : What They Are : Control dashboard visibility, size, and placement. How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality . Optimization : Scalping : Small size, Bottom Right for minimal chart obstruction. Swing Trading : Large size, Top Right for detailed analysis. Sectors : Universal across markets; adjust size based on screen setup. Pro Tip : Use Large for analysis, Small for live trading. 📐 Show Motivic Cohomology Bands, 🌊 Morphism Flow, 🔮 Future Projection, 🔷 Holographic Mesh, ⚛️ Spectral Flow : What They Are : Toggle visual elements representing mathematical calculations. How They Work : Provide intuitive representations of market dynamics. Optimization : Timeframes : Scalping : Enable Morphism Flow and Spectral Flow for momentum. Swing Trading : Enable all for comprehensive analysis. Sectors : Crypto : Emphasize Morphism Flow and Future Projection for volatility. Stocks : Focus on Cohomology Bands for stable trends. Pro Tip : Disable non-essential visuals in fast markets to reduce clutter. 🌫️ Field Transparency, 🔄 Web Recursion Depth, 🎨 Mesh Color Scheme : What They Are : Adjust visual clarity, complexity, and color. How They Work : Enhance interpretability of visual elements. Optimization : Transparency : 30-50 for balanced visibility; lower for analysis. Recursion Depth : 6-8 for balanced detail; lower for older hardware. Color Scheme : Purple/Blue : Analytical focus. Green/Orange : Trading momentum. Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading. ⏱️ Minimum Bars Between Signals : What It Is : Minimum number of bars required between consecutive signals. How It Works : Prevents signal clustering by enforcing a cooldown period. Optimization : Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading. Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping. Timeframes : Scalping : 0-2 bars for rapid signals. Day Trading : 3-5 bars for balance. Swing Trading : 5-10 bars for stability. Sectors : Crypto : 0-3 for volatility. Stocks : 5-10 for trend clarity. Forex : 3-7 for cyclical moves. Pro Tip : Increase in choppy markets to filter noise. Hardcoded Parameters Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence). Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets. 🎨 ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE The GTTMTSF ’s visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions. Motivic Cohomology Bands : What They Are : Dynamic bands ( H⁰ , H¹ , H² ) representing cohomological support/resistance. Color & Meaning : Colors reflect energy levels ( H⁰ tightest, H² widest). Breaks into H¹ signal momentum; H² touches suggest reversals. How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups. Morphism Flow (Webbing) : What It Is : White particle streams visualizing market momentum. Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation. How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts. Future Projection Web (Fractal Grid) : What It Is : Fibonacci-period fractal projections of support/resistance. Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (φ), resonance (ρ), and obstruction ( H¹ ). ⚡ marks extreme anomalies. How to Trade : Target ⚡/● levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups. Holographic Mesh & Spectral Flow : What They Are : Visuals of harmonic interference and spectral energy. How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement. 📊 THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL The Dashboard translates complex mathematics into actionable intelligence. Unified Field & Signals : FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations. RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves. SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups. Geometric Components : What They Are : Breakdown of seven mathematical engines. How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening. Signal Performance : What It Is : Tracks indicator signal performance. How to Use : Assesses real-time performance to build confidence and understand system behavior. 🚀 DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series. Why This Is Unlike Anything Else : Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools. Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field . Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice. Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding. The GTTMTSF is more than an indicator; it’s a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos. " Where there is matter, there is geometry. " - Johannes Kepler — Dskyz , Trade with insight. Trade with anticipation.
Indicador Pine Script®
por DskyzInvestments
5
Momentum ScopeOverview Momentum Scope is a Pine Script™ v6 study that renders a –1 to +1 momentum heatmap across up to 32 lookback periods in its own pane. Using an Augmented Relative Momentum Index (ARMI) and color shading, it highlights where momentum strengthens, weakens, or stays flat over time—across any asset and timeframe. Key Features Full-Spectrum Momentum Map : Computes ARMI for 1–32 lookbacks, indexed from –1 (strong bearish) to +1 (strong bullish). Flexible Scale Gradation : Choose Linear or Exponential spacing, with adjustable expansion ratio and maximum depth. Trending Bias Control : Apply a contrast-style curve transform to emphasize trending vs. mean-reverting behavior. Duotone & Tritone Palettes : Select between two vivid color styles, with user-definable hues for bearish, bullish, and neutral momentum. Compact, Overlay-Free Display : Renders solely in its own pane—keeping your price chart clean. Inputs & Customization Scale Gradation : Linear or Exponential spacing of intervals Scale Expansion : Ratio governing step-size between successive lookbacks Scale Maximum : Maximum lookback period (and highest interval) Trending Bias : Curve-transform bias to tilt the –1 … +1 grid Color Style : Duotone or Tritone rendering modes Reducing / Increasing / Neutral Colors : Pick your own hues for bearish, bullish, and flat zones How to Use Add to Chart : Apply “Momentum Scope” as a separate indicator. Adjust Scale : For exponential spacing, switch your indicator Y-axis to Logarithmic . Set Bias & Colors : Tweak Trending Bias and choose a palette that stands out on your layout. Interpret the Heatmap : Red tones = weakening/bearish momentum Green tones = strengthening/bullish momentum Neutral hues = indecision or flat momentum Copyright © 2025 MVPMC. Licensed under MIT. For full license see opensource.org
Indicador Pine Script®
por MVPMC
Anomalous Holonomy Field Theory🌌 Anomalous Holonomy Field Theory (AHFT) - Revolutionary Quantum Market Analysis Where Theoretical Physics Meets Trading Reality A Groundbreaking Synthesis of Differential Geometry, Quantum Field Theory, and Market Dynamics 🔬 THEORETICAL FOUNDATION - THE MATHEMATICS OF MARKET REALITY The Anomalous Holonomy Field Theory represents an unprecedented fusion of advanced mathematical physics with practical market analysis. This isn't merely another indicator repackaging old concepts - it's a fundamentally new lens through which to view and understand market structure . 1. HOLONOMY GROUPS (Differential Geometry) In differential geometry, holonomy measures how vectors change when parallel transported around closed loops in curved space. Applied to markets: Mathematical Formula: H = P exp(∮_C A_μ dx^μ) Where: P = Path ordering operator A_μ = Market connection (price-volume gauge field) C = Closed price path Market Implementation: The holonomy calculation measures how price "remembers" its journey through market space. When price returns to a previous level, the holonomy captures what has changed in the market's internal geometry. This reveals: Hidden curvature in the market manifold Topological obstructions to arbitrage Geometric phase accumulated during price cycles 2. ANOMALY DETECTION (Quantum Field Theory) Drawing from the Adler-Bell-Jackiw anomaly in quantum field theory: Mathematical Formula: ∂_μ j^μ = (e²/16π²)F_μν F̃^μν Where: j^μ = Market current (order flow) F_μν = Field strength tensor (volatility structure) F̃^μν = Dual field strength Market Application: Anomalies represent symmetry breaking in market structure - moments when normal patterns fail and extraordinary opportunities arise. The system detects: Spontaneous symmetry breaking (trend reversals) Vacuum fluctuations (volatility clusters) Non-perturbative effects (market crashes/melt-ups) 3. GAUGE THEORY (Theoretical Physics) Markets exhibit gauge invariance - the fundamental physics remains unchanged under certain transformations: Mathematical Formula: A'_μ = A_μ + ∂_μΛ This ensures our signals are gauge-invariant observables , immune to arbitrary market "coordinate changes" like gaps or reference point shifts. 4. TOPOLOGICAL DATA ANALYSIS Using persistent homology and Morse theory: Mathematical Formula: β_k = dim(H_k(X)) Where β_k are the Betti numbers describing topological features that persist across scales. 🎯 REVOLUTIONARY SIGNAL CONFIGURATION Signal Sensitivity (0.5-12.0, default 2.5) Controls the responsiveness of holonomy field calculations to market conditions. This parameter directly affects the threshold for detecting quantum phase transitions in price action. Optimization by Timeframe: Scalping (1-5min): 1.5-3.0 for rapid signal generation Day Trading (15min-1H): 2.5-5.0 for balanced sensitivity Swing Trading (4H-1D): 5.0-8.0 for high-quality signals only Score Amplifier (10-200, default 50) Scales the raw holonomy field strength to produce meaningful signal values. Higher values amplify weak signals in low-volatility environments. Signal Confirmation Toggle When enabled, enforces additional technical filters (EMA and RSI alignment) to reduce false positives. Essential for conservative strategies. Minimum Bars Between Signals (1-20, default 5) Prevents overtrading by enforcing quantum decoherence time between signals. Higher values reduce whipsaws in choppy markets. 👑 ELITE EXECUTION SYSTEM Execution Modes: Conservative Mode: Stricter signal criteria Higher quality thresholds Ideal for stable market conditions Adaptive Mode: Self-adjusting parameters Balances signal frequency with quality Recommended for most traders Aggressive Mode: Maximum signal sensitivity Captures rapid market moves Best for experienced traders in volatile conditions Dynamic Position Sizing: When enabled, the system scales position size based on: Holonomy field strength Current volatility regime Recent performance metrics Advanced Exit Management: Implements trailing stops based on ATR and signal strength, with mode-specific multipliers for optimal profit capture. 🧠 ADAPTIVE INTELLIGENCE ENGINE Self-Learning System: The strategy analyzes recent trade outcomes and adjusts: Risk multipliers based on win/loss ratios Signal weights according to performance Market regime detection for environmental adaptation Learning Speed (0.05-0.3): Controls adaptation rate. Higher values = faster learning but potentially unstable. Lower values = stable but slower adaptation. Performance Window (20-100 trades): Number of recent trades analyzed for adaptation. Longer windows provide stability, shorter windows increase responsiveness. 🎨 REVOLUTIONARY VISUAL SYSTEM 1. Holonomy Field Visualization What it shows: Multi-layer quantum field bands representing market resonance zones How to interpret: Blue/Purple bands = Primary holonomy field (strongest resonance) Band width = Field strength and volatility Price within bands = Normal quantum state Price breaking bands = Quantum phase transition Trading application: Trade reversals at band extremes, breakouts on band violations with strong signals. 2. Quantum Portals What they show: Entry signals with recursive depth patterns indicating momentum strength How to interpret: Upward triangles with portals = Long entry signals Downward triangles with portals = Short entry signals Portal depth = Signal strength and expected momentum Color intensity = Probability of success Trading application: Enter on portal appearance, with size proportional to portal depth. 3. Field Resonance Bands What they show: Fibonacci-based harmonic price zones where quantum resonance occurs How to interpret: Dotted circles = Minor resonance levels Solid circles = Major resonance levels Color coding = Resonance strength Trading application: Use as dynamic support/resistance, expect reactions at resonance zones. 4. Anomaly Detection Grid What it shows: Fractal-based support/resistance with anomaly strength calculations How to interpret: Triple-layer lines = Major fractal levels with high anomaly probability Labels show: Period (H8-H55), Price, and Anomaly strength (φ) ⚡ symbol = Extreme anomaly detected ● symbol = Strong anomaly ○ symbol = Normal conditions Trading application: Expect major moves when price approaches high anomaly levels. Use for precise entry/exit timing. 5. Phase Space Flow What it shows: Background heatmap revealing market topology and energy How to interpret: Dark background = Low market energy, range-bound Purple glow = Building energy, trend developing Bright intensity = High energy, strong directional move Trading application: Trade aggressively in bright phases, reduce activity in dark phases. 📊 PROFESSIONAL DASHBOARD METRICS Holonomy Field Strength (-100 to +100) What it measures: The Wilson loop integral around price paths >70: Strong positive curvature (bullish vortex) <-70: Strong negative curvature (bearish collapse) Near 0: Flat connection (range-bound) Anomaly Level (0-100%) What it measures: Quantum vacuum expectation deviation >70%: Major anomaly (phase transition imminent) 30-70%: Moderate anomaly (elevated volatility) <30%: Normal quantum fluctuations Quantum State (-1, 0, +1) What it measures: Market wave function collapse +1: Bullish eigenstate |↑⟩ 0: Superposition (uncertain) -1: Bearish eigenstate |↓⟩ Signal Quality Ratings LEGENDARY: All quantum fields aligned, maximum probability EXCEPTIONAL: Strong holonomy with anomaly confirmation STRONG: Good field strength, moderate anomaly MODERATE: Decent signals, some uncertainty WEAK: Minimal edge, high quantum noise Performance Metrics Win Rate: Rolling performance with emoji indicators Daily P&L: Real-time profit tracking Adaptive Risk: Current risk multiplier status Market Regime: Bull/Bear classification 🏆 WHY THIS CHANGES EVERYTHING Traditional technical analysis operates on 100-year-old principles - moving averages, support/resistance, and pattern recognition. These work because many traders use them, creating self-fulfilling prophecies. AHFT transcends this limitation by analyzing markets through the lens of fundamental physics: Markets have geometry - The holonomy calculations reveal this hidden structure Price has memory - The geometric phase captures path-dependent effects Anomalies are predictable - Quantum field theory identifies symmetry breaking Everything is connected - Gauge theory unifies disparate market phenomena This isn't just a new indicator - it's a new way of thinking about markets . Just as Einstein's relativity revolutionized physics beyond Newton's mechanics, AHFT revolutionizes technical analysis beyond traditional methods. 🔧 OPTIMAL SETTINGS FOR MNQ 10-MINUTE For the Micro E-mini Nasdaq-100 on 10-minute timeframe: Signal Sensitivity: 2.5-3.5 Score Amplifier: 50-70 Execution Mode: Adaptive Min Bars Between: 3-5 Theme: Quantum Nebula or Dark Matter 💭 THE JOURNEY - FROM IMPOSSIBLE THEORY TO TRADING REALITY Creating AHFT was a mathematical odyssey that pushed the boundaries of what's possible in Pine Script. The journey began with a seemingly impossible question: Could the profound mathematical structures of theoretical physics be translated into practical trading tools? The Theoretical Challenge: Months were spent diving deep into differential geometry textbooks, studying the works of Chern, Simons, and Witten. The mathematics of holonomy groups and gauge theory had never been applied to financial markets. Translating abstract mathematical concepts like parallel transport and fiber bundles into discrete price calculations required novel approaches and countless failed attempts. The Computational Nightmare: Pine Script wasn't designed for quantum field theory calculations. Implementing the Wilson loop integral, managing complex array structures for anomaly detection, and maintaining computational efficiency while calculating geometric phases pushed the language to its limits. There were moments when the entire project seemed impossible - the script would timeout, produce nonsensical results, or simply refuse to compile. The Breakthrough Moments: After countless sleepless nights and thousands of lines of code, breakthrough came through elegant simplifications. The realization that market anomalies follow patterns similar to quantum vacuum fluctuations led to the revolutionary anomaly detection system. The discovery that price paths exhibit holonomic memory unlocked the geometric phase calculations. The Visual Revolution: Creating visualizations that could represent 4-dimensional quantum fields on a 2D chart required innovative approaches. The multi-layer holonomy field, recursive quantum portals, and phase space flow representations went through dozens of iterations before achieving the perfect balance of beauty and functionality. The Balancing Act: Perhaps the greatest challenge was maintaining mathematical rigor while ensuring practical trading utility. Every formula had to be both theoretically sound and computationally efficient. Every visual had to be both aesthetically pleasing and information-rich. The result is more than a strategy - it's a synthesis of pure mathematics and market reality that reveals the hidden order within apparent chaos. 📚 INTEGRATED DOCUMENTATION Once applied to your chart, AHFT includes comprehensive tooltips on every input parameter. The source code contains detailed explanations of the mathematical theory, practical applications, and optimization guidelines. This published description provides the overview - the indicator itself is a complete educational resource. ⚠️ RISK DISCLAIMER While AHFT employs advanced mathematical models derived from theoretical physics, markets remain inherently unpredictable. No mathematical model, regardless of sophistication, can guarantee future results. This strategy uses realistic commission ($0.62 per contract) and slippage (1 tick) in all calculations. Past performance does not guarantee future results. Always use appropriate risk management and never risk more than you can afford to lose. 🌟 CONCLUSION The Anomalous Holonomy Field Theory represents a quantum leap in technical analysis - literally. By applying the profound insights of differential geometry, quantum field theory, and gauge theory to market analysis, AHFT reveals structure and opportunities invisible to traditional methods. From the holonomy calculations that capture market memory to the anomaly detection that identifies phase transitions, from the adaptive intelligence that learns and evolves to the stunning visualizations that make the invisible visible, every component works in mathematical harmony. This is more than a trading strategy. It's a new lens through which to view market reality. Trade with the precision of physics. Trade with the power of mathematics. Trade with AHFT. I hope this serves as a good replacement for Quantum Edge Pro - Adaptive AI until I'm able to fix it. — Dskyz, Trade with insight. Trade with anticipation.
Estratégia Pine Script®
por DskyzInvestments
23
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.
Indicador Pine Script®
por DTMtrading
Long Explosive V1The “Long Explosive V1” strategy calculates the percentage change in price from the last closing price of the candlestick, so that if it increases by a certain percentage it goes long, but if it decreases by another percentage it sends an exit order, so that the percentage limits above and below the current price function as inherent stop loss and take profit, with the benefit of taking advantage of the volatility of the bull market. Entries and exits are always at the market and based on percentage changes in the price. Of course, the default configuration of the strategy considers a position with a 5% risk control, modest initial capital and standard commissions, which helps to obtain realistic results and protect the user from unexpectedly controlled potential losses. It is again emphasized that it is always advisable to adjust the parameters of the strategy well, so that the risk-reward is well controlled.
Estratégia Pine Script®
por Al-Juarismi-Lab
Bitcoin Power Law OscillatorThis is the oscillator version of the script. The main body of the script can be found here. Understanding the Bitcoin Power Law Model Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship. By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges. In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term. The Bitcoin Power Law has the following function: Power Law = 10^(a + b * log10(d)) Consisting of the following parameters: a: Power Law Intercept (default: -17.668). b: Power Law Slope (default: 5.926). d: Number of days since a reference point(calculated by counting bars from the reference point with an offset). Explanation of the a and b parameters: Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post. Applying vertical shifts to generate the other lines: Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept. In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest): Base Power Law Line (no shift) 1-year shifted line 2-year shifted line 3-year shifted line 4-year shifted line 5-year shifted line The six power law lines: Bitcoin Power Law Oscillator This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula: normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line) Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. Interpretation of the Bitcoin Power Law Model: The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.). By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame. On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines. In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples: Example 1: In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B(Note: Vertical yearly grid lines have been added for this purpose👍). Example 2: In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line. Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe : Example 3: In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Indicador Pine Script®
por Cryptonerds
Bitcoin Power LawThis is the main body version of the script. The Oscillator version can be found here. Understanding the Bitcoin Power Law Model Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship. By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges. In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term. The Bitcoin Power Law has the following function: Power Law = 10^(a + b * log10(d)) Consisting of the following parameters: a: Power Law Intercept (default: -17.668). b: Power Law Slope (default: 5.926). d: Number of days since a reference point(calculated by counting bars from the reference point with an offset). Explanation of the a and b parameters: Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post. Applying vertical shifts to generate the other lines: Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept. In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest): Base Power Law Line (no shift) 1-year shifted line 2-year shifted line 3-year shifted line 4-year shifted line 5-year shifted line The six power law lines: Bitcoin Power Law Oscillator This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula: normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line) Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. Interpretation of the Bitcoin Power Law Model: The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.). By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame. On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines. In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples: Example 1: In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B (Note: Vertical yearly grid lines have been added for this purpose👍). Example 2: In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line. Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe : Example 3: In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Indicador Pine Script®
por Cryptonerds
6 Moving Averages Difference TableIndicator Summary: 6 Moving Averages Difference Table (6MADIFF) This TradingView indicator calculates and plots up to six distinct moving averages (MAs) directly on the price chart. Users have extensive control over each MA, allowing selection of: Type: SMA, EMA, WMA, VWMA, HMA, RMA Length: Any positive integer Color: User-defined Visibility: Can be toggled on/off A core feature is the on-chart data table, designed to provide a quick overview of the relationships between the MAs and the price. This table displays: $-MA Column: The absolute difference between the user-selected Input Source (e.g., Close, Open, HLC3) and the current value of each MA. MA$ Column: The actual calculated price value of each MA for the current bar. MA vs. MA Matrix: A grid showing the absolute difference between every possible pair of the calculated MAs (e.g., MA1 vs. MA2, MA1 vs. MA3, MA2 vs. MA5, etc.). Customization Options: Input Source: Select the price source (Open, High, Low, Close, HL2, HLC3, OHLC4) used for all MA calculations and the price difference column. Table Settings: Control the table's visibility, position on the chart, text size, decimal precision for displayed values, and the text used for the column headers ("$-MA" and "MA$"). Purpose: This indicator is useful for traders who utilize multiple moving averages in their analysis. The table provides an immediate, quantitative snapshot of: How far the current price is from each MA. The exact value of each MA. The spread or convergence between different MAs. This helps in quickly assessing trend strength, potential support/resistance levels based on MA clusters, and the relative positioning of short-term versus long-term averages.
Indicador Pine Script®
por ChalkBoardAnalytics
2
ian_Trado v15 Trend Entry Filter# 📈 ian_Trado v15 Trend Entry Filter (Pine Script v6) The **ian_Trado v15** is a multi-factor **trend confirmation filter** for NASDAQ (NAS100), Dow Jones (DJ30), Gold (XAU), DAX, and USDJPY. It combines **EMA structure**, **Donchian channel breakout**, **MACD histogram momentum**, **Volume confirmation**, and a **Range Compression Filter** to avoid entering during choppy or sideways markets. ✅ Designed for **bot deployment** (e.g., grid bots, long/short breakout bots) or **manual trading**. --- ## 🔍 How This Filter Works: 1. **EMA Trend Confirmation** - Long Trend: EMA(1) > EMA(5) > EMA(60) - Short Trend: EMA(1) < EMA(5) < EMA(60) 2. **Donchian Channel Width Expansion** - Only allows trades when the **breakout width** exceeds a minimum threshold. 3. **MACD Histogram Slope Filter (Optional)** - Confirms momentum building in the direction of the trend. - Strict Mode: MACD histogram must consistently rise or fall over 3 bars. 4. **Volume Filter (Optional)** - Ensures volume supports the move (filters out weak conditions). 5. **Range Compression Filter (Optional)** - Avoids entries during sideways chop. 6. **Cooldown Control** - Limits overtrading by requiring spacing between entries. 7. **Exit Conditions** - Gray dot appears when trending conditions are no longer valid. --- ## ⚙️ Settings Explained: | Setting | Description | |:--------|:------------| | **Cooldown Bars** | Minimum bars between consecutive entries | | **Profit Target (%)** | Visual profit marker for exit tracking | | **Donchian Channel Length** | Lookback period for detecting breakout width | | **Minimum Donchian Width** | Threshold to confirm meaningful breakouts | | **Volume Lookback Period** | Average volume validation window | | **Box Range (Range Compression)** | Max allowed price range over lookback bars | | **Range Compression Bars** | Number of bars to check for range compression | | **Strict MACD Filter** | Use stricter MACD slope checks | --- ## 📊 Recommended Settings by Instrument (1H Chart): | Asset | Min Donchian Width | Range Compression | Profit Target | |:------|:-------------------|:------------------|:--------------| | **NAS100** (Nasdaq) | 300–450 pts | 400 pts / 40 bars | 1.5% | | **DJ30** (Dow Jones) | 400–600 pts | 500 pts / 40 bars | 1.0–1.5% | | **XAU/USD** (Gold) | 10–15 pts | 8 pts / 30 bars | 0.8–1.2% | | **DAX40** (Germany) | 200–300 pts | 250 pts / 40 bars | 1.0% | | **USD/JPY** (Forex) | 0.5–0.8 pts | 0.4 pts / 40 bars | 0.5–0.8% | --- ## 🔔 Alerts Available: - Long Entry - Short Entry - Exit Zone > **Note:** Volume filter may be disabled if volume is unreliable (e.g., some forex pairs). --- ## 📅 Version: - **ian_Trado v15** — April 2025 - Built with **Pine Script v6** for maximum stability - Clean toggling and plotting logic (no `na` errors)
Indicador Pine Script®
por ikohtl
Hippo Battlefield - Bulls VS Bears 20 bars## Hippo Battlefield – Bulls VS Bears (20 Bars) **What it is** A multi-dimensional momentum-and-sentiment oscillator that combines classic Bull/Bear Power with ATR- or peak-normalization, then layers on RSI and MACD-derived metrics into: 1. **A colored bar series** showing net Bull+Bear Power strength over the last 20 bars, 2. **A dynamic table** of each of those 20 BBP values (grouped into four 5-bar “quartals”), with symbols, per-bar change, and rolling averages, and 3. **A composite “Weighted BBP” histogram** blending normalized RSI, MACD, and BBP into a single view. --- ### Key Inputs - **Length (EMA)** – look-back for the underlying EMA (default 60) - **Normalization Length** – look-back window for peak-normalization (default 60) - **Use ATR for Norm.** – toggle ATR-based normalization vs. highest-abs(BBP) - **Show Tables** – toggle the bottom-right 21×11 grid of raw and average BBP values --- ### What You See #### 1. Colored Bars (Overlay = false) - Bars are colored by normalized BBP intensity: - Extreme Bull (≥+10): deep blue - Strong Bull (+5 to +10): green/yellow - Weak Bull (+0 to +5): dark green - Weak Bear (–0 to –5): dark red - Strong Bear (–5 to –10): pink/red - Extreme Bear (<–10): magenta #### 2. Bottom-Right Table (20 Bars of Data) - Divided into four columns (0–4, 5–9, 10–14, 15–19 bars ago) and one “average” row. - Each cell shows: 1. Bar index (1–20), 2. Normalized BBP value (to four decimals), 3. Direction symbol (↑/↓/=), 4. Bar-to-bar change (± value), 5. A separator “|”. - At the very bottom, each column’s 5-bar average is displayed as “Avg: X.XXXX” with a dot marker. #### 3. Top-Center Mini-Table - When ≥20 bars have elapsed, shows the date at 20 bars ago and the average BBP across the full 20-bar window. #### 4. Normalized RSI Line - Rescales the classic 14-period RSI into a –20…+20 band to align with BBP. #### 5. MACD Lines (Hidden) & Composite Histogram - MACD and signal lines are calculated but not plotted by default. - A “Weighted BBP” histogram combines: - 20% normalized RSI, - 20% average of (MACD + signal + normalized BBP), - 60% normalized BBP - Plotted as columns, color-coded by strength using the same palette as the main bars. #### 6. Middle Reference Line - A horizontal zero line to anchor over/under-zero readings. --- ### How to Use It - **Trend confirmation**: Strong blue/green bars alongside a rising histogram suggest bull conviction; strong reds/magentas signal bear dominance. - **Divergence spotting**: Watch for price making new highs/lows while BBP or the histogram fails to follow. - **Quartal analysis**: The 5-bar group averages can reveal whether recent momentum is accelerating or waning. - **Cross-indicator weighting**: Because RSI, MACD, and raw BBP all feed into the final histogram, you get a smoothed, blended view of momentum shifts. --- **Tip:** Tweak the EMA and normalization length to suit your preferred timeframe (e.g. shorter for intraday scalps, longer for swing trades). Enable/disable the table if you prefer a cleaner pane.
Indicador Pine Script®
por The_Real_Hippopotamus
Alpha Beta Gamma with Volume CandleAlpha Beta Gamma with Volume Candle This Pine Script indicator analyzes price dynamics and volume activity to assist traders in identifying momentum, reversals, and key price levels. It calculates three proprietary metrics—Alpha, Beta, and Gamma—based on a user-selected price type (e.g., Open, Close, HL2) and timeframe, using a lookback period (default 37 bars). These metrics normalize price movements relative to the range of highs and lows, helping traders gauge market strength and positioning. How It Works: Alpha: Measures the distance of the selected price from the lowest price over the lookback period, normalized by the period length. Beta: Represents the full price range (high minus low) over the lookback period, scaled by the period length. Gamma: Normalizes the price’s position within the high-low range, providing a 0–1 scale for relative positioning. Volume Analysis: The script classifies candles based on volume thresholds relative to a simple moving average (SMA, default 400 bars). High volume (≥ 2x SMA), low volume (≤ 0.5x SMA), and strong signal volume (≥ 1.5x SMA) trigger distinct candle colors to highlight bullish (e.g., deep blue, violet) or bearish (e.g., aqua, pink) conditions. Custom Bands: Nine horizontal levels (0 to 1, divided into eight equal parts) act as dynamic support/resistance zones, useful for grid-based trading or breakout strategies. How to Use: Inputs: Chart Timeframe: Select the timeframe for price data (e.g., 1H, 1D). Price Type: Choose the price metric (e.g., Close, HL2) for calculations. ABG Length: Adjust the lookback period (default 37) for sensitivity. Volume MA Length: Set the SMA period for volume analysis (default 400). Volume Thresholds: Customize high, low, and strong volume multipliers. Visual Settings: Toggle labels, custom bands, and table display; adjust line styles, label sizes, and table positions. Interpretation: Use Alpha, Beta, and Gamma plots to assess price momentum and range dynamics. Monitor colored candles for volume-driven signals (e.g., violet for strong bullish volume). Leverage custom bands for support/resistance or breakout trading. Check the table for real-time ABG values and percentage changes. Settings Tips: For scalping, reduce the ABG Length (e.g., 20) and use a shorter timeframe (e.g., 5M). For swing trading, increase the Volume MA Length (e.g., 600) for more stable volume signals. Enable labels and custom bands for visual clarity on key levels. This indicator is versatile for various trading styles, combining price-based metrics with volume analysis to enhance decision-making.
Indicador Pine Script®
por Dshergill
2
Daily Performance HeatmapThis script displays a customizable daily performance heatmap for key assets across crypto, equities, bonds, commodities, currencies, and volatility indices. Each cell shows the current price and the percent change since the daily open, color-coded using a gradient from negative to positive. Assets are arranged in a left-to-right, top-down grid, with adjustable layout and styling. ⚙️ Features: 🔢 Displays current price and daily % change 🎨 Color-coded heatmap using customizable gradients 🧱 Adjustable layout: number of columns, cell size, and text size 🧠 Smart price formatting (no decimals for BTC, Gold, etc.) 🪟 Clean alignment with padded spacing for UI clarity 🛠️ Future plans: User-input asset lists and labels Category grouping and dynamic sorting Optional icons, tooltips, or alerts
Indicador Pine Script®
por seanstakcn
1
SUPeR TReND 2.718An evolved version of the classic Supertrend, SUPeR TReND 2.718 is built to deliver elegant, high-precision trend detection using Euler's constant (e = 2.718) as its default multiplier. Designed for clarity and visual flow, this indicator brings together smooth line work, intelligent color logic, and a minimalistic tally system that tracks trend persistence — all in a highly customizable, overlay-ready format. Unlike traditional implementations, this version maintains line visibility regardless of fill opacity, ensuring crisp tracking even in complex environments. Ideal for traders who value both aesthetics and actionable structure. __________________________________________________________ 🔑 Key Features: - 📐 ATR-based Supertrend with default multiplier = e (2.718) - 📉 Dynamic trend line with optional fill beneath price - ⏳ Trend duration tally label (count-only or full format) - ⬆️ Higher-timeframe Supertrend overlay (optional) - 🟢 Directional candle coloring for clarity - 🟡 Subtle anchor line to guide perception without clutter - ⚙️ PineScript v6 compliant, efficient and modular __________________________________________________________ 🧠 Interpretation Guide: - The Supertrend line tracks trend support or resistance — beneath price in uptrends, above in downtrends. - The shaded fill reflects direction with 70% transparency. - The trend tally label counts how long the current trend has lasted. - Candle colors confirm direction without overtaking price action. - The optional HTF line shows higher-timeframe context. - A soft yellow anchor line stabilizes the fill relationship without distraction. __________________________________________________________ ⚙️ Inputs & Controls: - ✏️ ATR Length – Volatility lookback - 🧮 Multiplier – Default = 2.718 (Euler's number) - 🕰️ Higher Timeframe – Choose your bias frame - 👁️ Show HTF / Main – Toggle each trend layer - 🧾 Show Label / Simplify – Show trend duration, with or without arrows - 🎨 Color Candles – Turn directional bar coloring on or off - 🪄 Show Fill – Toggle the shaded visual rhythm - 🎛️ All visuals use tuned colors and transparencies for clarity __________________________________________________________ 🚀 Best Practices: - ✅ Works on any time frame; shines on 1h v. 1D - 🔁 Use the HTF line for macro bias filtering - 📊 Combine with volume or liquidity overlays for edge - 🧱 Use as a structural base layer with minimalist stacks __________________________________________________________ 📈 Strategy Tips: - 🧭 MTF Trend Alignment: Enable the HTF line to filter trades. If the HTF trend is up, only take longs on the lower frame, and vice versa. - 🔁 Pullback Entries: During a strong trend, consider short-term dips below the Supertrend line as possible re-entry zones — only if HTF remains aligned. - ⏳ Tally for Exhaustion: When the bar count exceeds 15+, look for confluence (volume divergence, key levels, reversal signals). - ⚠️ HTF Flip + Extended Trend: When the HTF trend reverses while the main trend is extended, that may be a macro exit or fade signal. - 🚫 Solo Mode: Disable HTF and use the main trend + tally as a standalone signal layer. - 🧠 Swing Setup Friendly: Especially powerful on 1D or 1h in swing systems or trend-based grid strategies.
Indicador Pine Script®
por TheLeadingIndicator
Fibonacci Circle Zones🟩 The Fibonacci Circle Zones indicator is a technical visualization tool, building upon the concept of traditional Fibonacci circles. It provides configurable options for analyzing geometric relationships between price and time, used to identify potential support and resistance zones derived from circle-based projections. The indicator constructs these Fibonacci circles based on two user-selected anchor points (Point A and Point B), which define the foundational price range and time duration for the geometric analysis. Key features include multiple mathematical Circle Formulas for radius scaling and several options for defining the circle's center point, enabling exploration of complex, non-linear geometric relationships between price and time distinct from traditional linear Fibonacci analysis. Available formulas incorporate various mathematical constants (π, e, φ variants, Silver Ratio) alongside traditional Fibonacci ratios, facilitating investigation into different scaling hypotheses. Furthermore, selecting the Center point relative to the A-B anchors allows these circular time-price patterns to be constructed and analyzed from different geometric perspectives. Analysis can be further tailored through detailed customization of up to 12 Fibonacci levels, including their mathematical values, colors, and visibility.. 📚 THEORY and CONCEPT 📚 Fibonacci circles represent an application of Fibonacci principles within technical analysis, extending beyond typical horizontal price levels by incorporating the dimension of time. These geometric constructions traditionally use numerical proportions, often derived from the Fibonacci sequence, to project potential zones of price-time interaction, such as support or resistance. A theoretical understanding of such geometric tools involves considering several core components: the significance of the chosen geometric origin or center point , the mathematical principles governing the proportional scaling of successive radii, and the fundamental calculation considerations (like chart scale adjustments and base radius definitions) that influence the resulting geometry and ensure its accurate representation. ⨀ Circle Center ⨀ The traditional construction methodology for Fibonacci circles begins with the selection of two significant anchor points on the chart, usually representing a key price swing, such as a swing low (Point A) and a subsequent swing high (Point B), or vice versa. This defined segment establishes the primary vector—representing both the price range and the time duration of that specific market move. From these two points, a base distance or radius is derived (this calculation can vary, sometimes using the vertical price distance, the time duration, or the diagonal distance). A center point for the circles is then typically established, often at the midpoint (time and price) between points A and B, or sometimes anchored directly at point B. Concentric circles are then projected outwards from this center point. The radii of these successive circles are calculated by multiplying the base distance by key Fibonacci ratios and other standard proportions. The underlying concept posits that markets may exhibit harmonic relationships or cyclical behavior that adheres to these proportions, suggesting these expanding geometric zones could highlight areas where future price movements might decelerate, reverse, or find equilibrium, reflecting a potential proportional resonance with the initial defining swing in both price and time. The Fibonacci Circle Zones indicator enhances traditional Fibonacci circle construction by offering greater analytical depth and flexibility: it addresses the origin point of the circles: instead of being limited to common definitions like the midpoint or endpoint B, this indicator provides a selection of distinct center point calculations relative to the initial A-B swing. The underlying idea is that the geometric source from which harmonic projections emanate might vary depending on the market structure being analyzed. This flexibility allows for experimentation with different center points (derived algorithmically from the A, B, and midpoint coordinates), facilitating exploration of how price interacts with circular zones anchored from various perspectives within the defining swing. Potential Center Points Setup : This view shows the anchor points A and B , defined by the user, which form the basis of the calculations. The indicator dynamically calculates various potential Center points ( C through N , and X ) based on the A-B structure, representing different geometric origins available for selection in the settings. Point X holds particular significance as it represents the calculated midpoint (in both time and price) between A and B. This 'X' point corresponds to the default 'Auto' center setting upon initial application of the indicator and aligns with the centering logic used in TradingView's standard Fibonacci Circle tool, offering a familiar starting point. The other potential center points allow for exploring circles originating from different geometric anchors relative to the A-B structure. While detailing the precise calculation for each is beyond the scope of this overview, they can be broadly categorized: points C through H are derived from relationships primarily within the A-B time/price range, whereas points I through N represent centers projected beyond point B, extrapolating the A-B geometry. Point J, for example, is calculated as a reflection of the A-X midpoint projected beyond B. This variety provides a rich set of options for analyzing circle patterns originating from historical, midpoint, and extrapolated future anchor perspectives. Default Settings (Center X, FibCircle) : Using the default Center X (calculated midpoint) with the default FibCircle . Although circles begin plotting only after Point B is established, their curvature shows they are geometrically centered on X. This configuration matches the standard TradingView Fib Circle tool, providing a baseline. Centering on Endpoint B : Using Point B, the user-defined end of the swing, as the Center . This anchors the circular projections directly to the swing's termination point. Unlike centering on the midpoint (X) or start point (A), this focuses the analysis on geometric expansion originating precisely from the conclusion of the measured A-B move. Projected Center J : Using the projected Point J as the Center . Its position is calculated based on the A-B swing (conceptually, it represents a forward projection related to the A-X midpoint relationship) and is located chronologically beyond Point B. This type of forward projection often allows complete circles to be visualized as price develops into the corresponding time zone. Time Symmetry Projection (Center L) : Uses the projected Point L as the Center . It is located at the price level of the start point (A), projected forward in time from B by the full duration of the A-B swing . This perspective focuses analysis on temporal symmetry , exploring geometric expansions from a point representing a full time cycle completion anchored back at the swing's origin price level. ⭕ Circle Formula Beyond the center point , the expansion of the projected circles is determined by the selected Circle Formula . This setting provides different mathematical methods, or scaling options , for scaling the circle radii. Each option applies a distinct mathematical constant or relationship to the base radius derived from the A-B swing, allowing for exploration of various geometric proportions. eScaled Mathematical Basis: Scales the radius by Euler's number ( e ≈ 2.718), the base of natural logarithms. This constant appears frequently in processes involving continuous growth or decay. Enables investigation of market geometry scaled by e , exploring relationships potentially based on natural exponential growth applied to time-price circles, potentially relevant for analyzing phases of accelerating momentum or volatility expansion. FibCircle Mathematical Basis: Scales the radius to align with TradingView’s built-in Fibonacci Circle Tool. Provides a baseline circle size, potentially emulating scaling used in standard drawing tools, serving as a reference point for comparison with other options. GoldenFib Mathematical Basis: Scales the radius by the Golden Ratio (φ ≈ 1.618). Explores the fundamental Golden Ratio proportion, central to Fibonacci analysis, applied directly to circular time-price geometry, potentially highlighting zones reflecting harmonic expansion or retracement patterns often associated with φ. GoldenContour Mathematical Basis: Scales the radius by a factor derived from Golden Ratio geometry (√(1 + φ²) / 2 ≈ 0.951). It represents a specific geometric relationship derived from φ. Allows analysis using proportions linked to the geometry of the Golden Rectangle, scaled to produce circles very close to the initial base radius. This explores structural relationships often associated with natural balance or proportionality observed in Golden Ratio constructions. SilverRatio Mathematical Basis: Scales the radius by the Silver Ratio (1 + √2 ≈ 2.414). The Silver Ratio governs relationships in specific regular polygons and recursive sequences. Allows exploration using the proportions of the Silver Ratio, offering a significant expansion factor based on another fundamental metallic mean for comparison with φ-based methods. PhiDecay Mathematical Basis: Scales the radius by φ raised to the power of -φ (φ⁻ᵠ ≈ 0.53). This unique exponentiation explores a less common, non-linear transformation involving φ. Explores market geometry scaled by this specific phi-derived factor which is significantly less than 1.0, offering a distinct contractile proportion for analysis, potentially relevant for identifying zones related to consolidation phases or decaying momentum. PhiSquared Mathematical Basis: Scales the radius by φ squared, normalized by dividing by 3 (φ² / 3 ≈ 0.873). Enables investigation of patterns related to the φ² relationship (a key Fibonacci extension concept), visualized at a scale just below 1.0 due to normalization. This scaling explores projections commonly associated with significant trend extension targets in linear Fibonacci analysis, adapted here for circular geometry. PiScaled Mathematical Basis: Scales the radius by Pi (π ≈ 3.141). Explores direct scaling by the fundamental circle constant (π), investigating proportions inherent to circular geometry within the market's time-price structure, potentially highlighting areas related to natural market cycles, rotational symmetry, or full-cycle completions. PlasticNumber Mathematical Basis: Scales the radius by the Plastic Number (approx 1.3247), the third metallic mean. Like φ and the Silver Ratio, it is the solution to a specific cubic equation and relates to certain geometric forms. Introduces another distinct fundamental mathematical constant for geometric exploration, comparing market proportions to those potentially governed by the Plastic Number. SilverFib Mathematical Basis: Scales the radius by the reciprocal Golden Ratio (1/φ ≈ 0.618). Explores proportions directly related to the core 0.618 Fibonacci ratio, fundamental within Fibonacci-based geometric analysis, often significant for identifying primary retracement levels or corrective wave structures within a trend. Unscaled Mathematical Basis: No scaling applied. Provides the base circle defined by points A/B and the Center setting without any additional mathematical scaling, serving as a pure geometric reference based on the A-B structure. 🧪 Advanced Calculation Settings Two advanced settings allow further refinement of the circle calculations: matching the chart's scale and defining how the base radius is calculated from the A-B swing. The Chart Scale setting ensures geometric accuracy by aligning circle calculations with the chart's vertical axis display. Price charts can use either a standard (linear) or logarithmic scale, where vertical distances represent price changes differently. The setting offers two options: Standard : Select this option when the price chart's vertical axis is set to a standard linear scale. Logarithmic : It is necessary to select this option if the price chart's vertical axis is set to a logarithmic scale. Doing so ensures the indicator adjusts its calculations to maintain correct geometric proportions relative to the visual price action on the log-scaled chart. The Radius Calc setting determines how the fundamental base radius is derived from the A-B swing, offering two primary options: Auto : This is the default setting and represents the traditional method for radius calculation. This method bases the radius calculation on the vertical price range of the A-B swing, focusing the geometry on the price amplitude. Geometric : This setting provides an alternative calculation method, determining the base radius from the diagonal distance between Point A and Point B. It considers both the price change and the time duration relative to the chart's aspect ratio, defining the radius based on the overall magnitude of the A-B price-time vector. This choice allows the resulting circle geometry to be based either purely on the swing's vertical price range ( Auto ) or on its combined price-time movement ( Geometric ). 🖼️ CHART EXAMPLES 🖼️ Default Behavior (X Center, FibCircle Formula) : This configuration uses the midpoint ( Center X) and the FibCircle scaling Formula , representing the indicator's effective default setup when 'Auto' is selected for both options initially. This is designed to match the output of the standard TradingView Fibonacci Circle drawing tool. Center B with Unscaled Formula : This example shows the indicator applied to an uptrend with the Center set to Point B and the Circle Formula set to Unscaled . This configuration projects the defined levels (0.236, 0.382, etc.) as arcs originating directly from the swing's termination point (B) without applying any additional mathematical scaling from the formulas. Visualization with Projected Center J : Here, circles are centered on the projected point J, calculated from the A-B structure but located forward in time from point B. Notice how using this forward-projected origin allows complete inner circles to be drawn once price action develops into that zone, providing a distinct visual representation of the expanding geometric field compared to using earlier anchor points. ( Unscaled formula used in this example). PhiSquared Scaling from Endpoint B : The PhiSquared scaling Formula applied from the user-defined swing endpoint (Point B). Radii expand based on a normalized relationship with φ² (the square of the Golden Ratio), creating a unique geometric structure and spacing between the circle levels compared to other formulas like Unscaled or GoldenFib . Centering on Swing Origin (Point A) : Illustrates using Point A, the user-defined start of the swing, as the circle Center . Note the significantly larger scale and wider spacing of the resulting circles. This difference occurs because centering on the swing's origin (A) typically leads to a larger base radius calculation compared to using the midpoint (X) or endpoint (B). ( Unscaled formula used). Center Point D : Point D, dynamically calculated from the A-B swing, is used as the origin ( Center =D). It is specifically located at the price level of the swing's start point (A) occurring precisely at the time coordinate of the swing's end point (B). This offers a unique perspective, anchoring the geometric expansion to the initial price level at the exact moment the defining swing concludes. ( Unscaled formula shown). Center Point G : Point G, also dynamically calculated from the A-B swing, is used as the origin ( Center =G). It is located at the price level of the swing's endpoint (B) occurring at the time coordinate of the start point (A). This provides the complementary perspective to Point D, anchoring the geometric expansion to the final price level achieved but originating from the moment the swing began . As observed in the example, using Point G typically results in very wide circle projections due to its position relative to the core A-B action. ( Unscaled formula shown). Center Point I: Half-Duration Projection : Using the dynamically calculated Point I as the Center . Located at Point B's price level but projected forward in time by half the A-B swing duration , Point I's calculated time coordinate often falls outside the initially visible chart area. As the chart progresses, this origin point will appear, revealing large, sweeping arcs representing geometric expansions based on a half-cycle temporal projection from the swing's endpoint price. ( Unscaled formula shown). Center Point M : Point M, also dynamically calculated from the A-B swing, serves as the origin ( Center =M). It combines the midpoint price level (derived from X) with a time coordinate projected forward from Point B by the full duration of the A-B swing . This perspective anchors the geometric expansion to the swing's balance price level but originates from the completion point of a full temporal cycle relative to the A-B move. Like other projected centers, using M allows for complete circles to be visualized as price progresses into its time zone. ( SilverFib formula shown). Geometric Validation & Functionality : Comparing the indicator (red lines), using its default settings ( Center X, FibCircle Formula ), against TradingView's standard Fib Circle tool (green lines/white background). The precise alignment, particularly visible at the 1.50 and 2.00 levels shown, validates the core geometry calculation. 🛠️ CONFIGURATION AND SETTINGS 🛠️ The Fibonacci Circle Zones indicator offers a range of configurable settings to tailor its functionality and visual representation. These options allow customization of the circle origin, scaling method, level visibility, visual appearance, and input points. Center and Formula Settings for selecting the circle origin and scaling method. Center : Dropdown menu to select the origin point for the circles. Auto : Automatically uses point X (the calculated midpoint between A and B). Selectable points including start/end (A, B), midpoint (X), plus various points derived from or projected beyond the A-B swing (C-N). Circle Formula : Dropdown menu to select the mathematical method for scaling circle radii. Auto : Automatically selects a default formula ('FibCircle' if Center is 'X', 'Unscaled' otherwise). Includes standard Fibonacci scaling ( FibCircle, GoldenFib ), other mathematical constants ( PiScaled, eScaled ), metallic means ( SilverRatio ), phi transformations ( PhiDecay, PhiSquared ), and others. Fib Levels Configuration options for the 12 individual Fibonacci levels. Advanced Settings Settings related to core calculation methods. Radius Calc : Defines how the base radius is calculated (e.g., 'Auto' for vertical price range, 'Geometric' for diagonal price-time distance). Chart Scale : Aligns circle calculations with the chart's vertical axis setting ('Standard' or 'Logarithmic') for accurate visual proportions. Visual Settings Settings controlling the visual display of the indicator elements. Plots : Dropdown controlling which parts of the calculated circles are displayed ( Upper , All , or Lower ). Labels : Dropdown controlling the display of the numerical level value labels ( All , Left , Right , or None ). Setup : Dropdown controlling the visibility of the initial setup graphics ( Show or Hide ). Info : Dropdown controlling the visibility of the small information table ( Show or Hide ). Text Size : Adjusts the font size for all text elements displayed by the indicator (Value ranges from 0 to 36). Line Width : Adjusts the width of the circle plots (1-10). Time/Price Inputs for the anchor points defining the base swing. These settings define the start (Point A) and end (Point B) of the price swing used for all calculations. Point A (Time, Price) : Input fields for the exact time coordinate and price level of the swing's starting point (A). Point B (Time, Price) : Input fields for the exact time coordinate and price level of the swing's ending point (B). Interactive Adjustment : Points A and B can typically be adjusted directly by clicking and dragging their markers on the chart (if 'Setup' is set to 'Show'). Changes update settings automatically. 📝 NOTES 📝 Fibonacci circles begin plotting only once the time corresponding to Point B has passed and is confirmed on the chart. While potential center locations might be visible earlier (as shown in the setup graphic), the final circle calculations require the complete geometry of the A-B swing. This approach ensures that as new price bars form, the circles are accurately rendered based on the finalized A-B relationship and the chosen center and scaling. The indicator's calculations are anchored to user-defined start (A) and end (B) points on the chart. When switching between charts with significantly different price scales (e.g., from an index at 5,000 to a crypto asset at $0.50), it is typically necessary to adjust these anchor points to ensure the circle elements are correctly positioned and scaled. ⚠️ DISCLAIMER ⚠️ The Fibonacci Circle Zones indicator is a visual analysis tool designed to illustrate Fibonacci relationships through geometric constructions incorporating curved lines, providing a structured framework for identifying potential areas of price interaction. Like all technical and visual indicators, these visual representations may visually align with key price zones in hindsight, reflecting observed price dynamics. It is not intended as a predictive or standalone trading signal indicator. The indicator calculates levels and projections using user-defined anchor points and Fibonacci ratios. While it aims to align with TradingView’s standard Fibonacci circle tool by employing mathematical and geometric formulas, no guarantee is made that its calculations are identical to TradingView's proprietary methods. 🧠 BEYOND THE CODE 🧠 The Fibonacci Circle Zones indicator, like other xxattaxx indicators , is designed with education and community collaboration in mind. Its open-source nature encourages exploration, experimentation, and the development of new Fibonacci and grid calculation indicators and tools. We hope this indicator serves as a framework and a starting point for future Innovation and discussions.
Indicador Pine Script®
por xxattaxx
3
Volume Stack US Top 40 [Pt]█ Overview Volume Stack US Top 40 is a versatile TradingView indicator designed to give you an at-a-glance view of market sentiment and volume dynamics across the top 40 U.S. large-cap stocks. Inspired by the popular Saty Volume Stack, this enhanced version aggregates essential volume and price strength data from major tickers on both the NYSE and NASDAQ, and works seamlessly on all timeframes. █ Key Features Dynamic Buy / Sell Volume Stack: This indicator dynamically stacks the volume bars so that the side with higher volume appears on top. For example, green over red signals more buy-side volume, while red over green indicates greater sell-side volume. Cross-Market Analysis: Easily toggle between NYSE and NASDAQ to analyze the most influential U.S. stocks. The indicator automatically loads the correct set of tickers based on your selection. Flexible Coverage: Choose from Top 10, Top 20, Top 30, or Top 40 tickers to tailor the tool to your desired scope of analysis. Dynamic Table Display: A neat on-chart table lists the selected ticker symbols along with visual cues that reflect each stock’s strength. You can even remove exchange prefixes for a cleaner look. █ Inputs & Settings Market Selector: Choose whether to view data from the NYSE or NASDAQ; the indicator automatically loads the corresponding list of top tickers. Number of Tickers: Select from ‘Top 10’, ‘Top 20’, ‘Top 30’, or ‘Top 40’ stocks to define the breadth of your analysis. Color Options: Customize the colors for bullish and bearish histogram bars to suit your personal style. Table Preferences: Adjust the on-chart table’s display style (grid or one row), text size, and decide whether to show exchange information alongside ticker symbols. █ Usage & Benefits Volume Stack US Top 40 is ideal for traders and investors who need a clear yet powerful tool to gauge overall market strength. By combining volume and price action data across multiple major stocks, it helps you: Quickly assess whether the market sentiment is bullish or bearish. Confirm trends by comparing volume patterns against intraday price movements. Enhance your trading decisions with a visual representation of market breadth and dynamic buy/sell volume stacking. Its intuitive design means you spend less time adjusting complex settings and more time making confident, informed decisions.
Indicador Pine Script®
por PtGambler