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Volatility Channel Oscillator█ OVERVIEW "Volatility Channel Oscillator" is a technical indicator that analyzes price volatility relative to dynamic price channels, displaying an oscillator, its moving average, and signals based on crossovers and divergences. The indicator offers customizable overbought and oversold levels, gradient visualization, and divergence detection, supported by alerts for key signals. █ CONCEPTS The VCO indicator creates dynamic price channels based on a moving average of the price (calculated as the arithmetic mean of the high and low prices: (high + low) / 2) and market volatility (measured as the average candle range and body size). These channels are not displayed on the chart but are used to calculate the oscillator value, which reflects the position of the closing price relative to the channel width, scaled to a range from -100 to +100, with the zero line as the central point. A moving average of the oscillator (SMA) smooths its values, enabling signals based on crossovers with the zero line or overbought/oversold levels. The indicator also detects divergences between price and the oscillator, which may indicate potential trend reversals. VCO is useful for identifying market momentum, reversal points, and trend confirmation, especially when combined with other technical analysis tools. █ FEATURES - Volatility Channels: Calculates invisible chart boundaries based on a simple moving average (SMA) of the price (high + low) / 2 and volatility (average candle range and body). The length parameter (default 30) sets the SMA length, and scale (default 200%) adjusts the channel width. - Oscillator: Determines the oscillator value in the range of -100 to +100, indicating the closing price's position relative to the volatility channel. Displayed with dynamic coloring (green for positive values, red for negative). - Oscillator Moving Average: A simple moving average (SMA) of the oscillator values, smoothing its movements. The signalLength parameter (default 20) defines the SMA length. Displayed in yellow with an optional gradient. - Overbought/Oversold Levels: Configurable thresholds for the oscillator (overbought, default 50; oversold, default -50) and its moving average (maOverbought, default 30; maOversold, default -30), shown as horizontal lines with optional gradients. Band colors change dynamically (red for overbought, green for oversold, gray for neutral) based on the moving average's position relative to maOverbought/maOversold, reinforcing other signals. - Divergences: Detects bullish (price forms a lower low, oscillator a higher low) and bearish (price forms a higher high, oscillator a lower high) divergences using pivots (pivotLength, default 2). Divergences are displayed with a delay equal to the pivot length; larger lengths increase reliability but delay signals. Use as additional confirmation. Signals: - Overbought/Oversold Crossovers: Green triangles (buy) when the oscillator crosses above the oversold level, red triangles (sell) when it crosses below the overbought level. - Zero Line Crossovers: Buy/sell signals when the oscillator crosses the zero line upward (buy) or downward (sell). - Moving Average Crossovers: Buy/sell signals when the oscillator's moving average crosses the zero line or the maOverbought/maOversold levels. Dynamic band color changes (red/green) at these crossovers reinforce other signals. - Visualization: Gradient lines for the oscillator, its moving average, overbought/oversold levels, and zero line, with adjustable transparency. Gradient fill between the oscillator and zero line. Divergence Labels: "Bull" (bullish) and "Bear" (bearish) labels with customizable color and transparency. - Alerts: Built-in alerts for divergences, overbought/oversold crossovers, and zero line crossovers by the oscillator and its moving average. █ HOW TO USE Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView. Configure Settings: - Channel and Oscillator Settings: Adjust the channel SMA length (length, default 30) and channel scaling (scale, default 200%). Increase scale for high-volatility markets. - Threshold Levels: Set oscillator overbought (overbought, default 50) and oversold (oversold, default -50) levels, and moving average thresholds (maOverbought, default 30; maOversold, default -30). - Divergence Settings: Enable/disable divergence detection (calculateDivergence) and set pivot length (pivotLength, default 2). Larger values increase reliability but delay signals. - Signal Settings: Choose signal types (signalType): overbought/oversold, zero line, moving average, or all. - Styling: Customize colors for the oscillator, moving average, horizontal levels, and divergence labels. Adjust gradient and fill transparency. Interpreting Signals: - Buy Signals: Green triangles below the bar when the oscillator or its moving average crosses above the oversold level or zero line. - Sell Signals: Red triangles above the bar when the oscillator or its moving average crosses below the overbought level or zero line. - Moving Average Signals: Green/red triangles when the moving average crosses maOverbought/maOversold levels, indicating potential reversals or trend continuation. Dynamic band color changes (red for overbought, green for oversold) at these crossovers reinforce other signals. - Divergences: "Bull" (bullish) and "Bear" (bearish) labels indicate potential trend reversals with a delay based on pivot length. Use as confirmation. - Overbought/Oversold Levels: Monitor price reactions in these zones as potential reversal points. Dynamic band color changes based on the moving average reinforce signals. Signal Confirmation: Use VCO with other tools, such as pivot levels (for key turning points) or Fibonacci levels (for support/resistance zones). █ APPLICATIONS - Trend Trading: Zero line crossovers by the oscillator or its moving average identify momentum in uptrends or downtrends. - Range Trading: Overbought/oversold levels help identify entry/exit points in sideways markets. - Divergences: Use bullish/bearish divergences as additional confirmation of reversals, especially near key price levels. - Trend Identification: To analyze trends over a longer perspective, increase the moving average length (signalLength) for more stable signals. █ NOTES - Test the indicator across different timeframes and markets to optimize parameters, such as length and scale, for your trading style. - In strong trends, overbought/oversold levels may persist, requiring additional signal verification. - Divergences are more reliable on higher timeframes (H4, D1), where market noise is reduced, but their delay requires caution. - In low-liquidity markets, signals may be less effective, so use on high-liquidity assets is recommended.
Pine Script®指標
由Uncle_the_shooter提供
Metallic Retracement LevelsThere's something that's always bothered me about how traders use Fibonacci retracements. Everyone treats the golden ratio like it's the only game in town, but mathematically speaking, it's completely arbitrary. The golden ratio is just the first member of an infinite family of metallic means, and there's no particular reason why 1.618 should be special for markets when we have the silver ratio at 2.414, the bronze ratio at 3.303, and literally every other metallic mean extending to infinity. We just picked one and decided it was magical. The metallic means are a sequence of mathematical constants that generalize the golden ratio. They're defined by the equation x² = kx + 1, where k is any positive integer. When k equals 1, you get the golden ratio. When k equals 2, you get the silver ratio. When k equals 3, you get bronze, and so on forever. Each metallic mean generates its own set of ratios through successive powers, just like how the golden ratio gives you 0.618, 0.382, 0.236 and so forth. The silver ratio produces a completely different set of retracement levels, as does bronze, as does any arbitrary metallic number you want to choose. This indicator calculates these metallic means using the standard alpha and beta formulas. For any metallic number k, alpha equals (k + sqrt(k² + 4)) / 2, and we generate retracement ratios by raising alpha to various negative powers. The script algorithmically generates these levels instead of hardcoding them, which is how it should have been done from the start. It's genuinely silly that most fib tools just hardcode the ratios when the math to generate them is straightforward. Even worse, traditional fib retracements use 0.5 as a level, which isn't even a fibonacci ratio. It's just thrown in there because it seems like it should be important. The indicator works by first detecting swing points using the Sylvain Zig-Zag . The zig-zag identifies significant price swings by combining percentage change with ATR adjustments, filtering out noise and connecting major pivot points. This is what drives the retracement levels. Once a new swing is confirmed, the script calculates the range between the last two pivot points and generates metallic retracement levels from the most recent swing low or high. You can adjust which metallic number to use (golden, silver, bronze, or any positive integer), control how many power ratios to display above and below the 1.0 level, and set how many complete retracement cycles you want drawn. The levels extend from the swing point and show you where price might react based on whichever metallic mean you've selected. The zig-zag settings let you tune the sensitivity of swing detection through ATR period, ATR multiplier, percentage reversal, and additional absolute or tick-based reversal values. What this really demonstrates is that retracement analysis is more flexible than most traders realize. There's no mathematical law that says markets must respect the golden ratio over any other metallic mean. They're all valid mathematical constructs with the same kind of recursive properties. By making this tool, I wanted to highlight that using fibonacci retracements involves an arbitrary choice, and maybe that choice should be more deliberate or at least tested against alternatives. You can experiment with different metallic numbers and see which ones seem to work better for your particular market or timeframe, or just use this to understand that the standard fib levels everyone uses aren't as fundamental as they appear.
Pine Script®指標
由The_Peaceful_Lizard提供
3
Simplified Percentile ClusteringSimplified Percentile Clustering (SPC) is a clustering system for trend regime analysis. Instead of relying on heavy iterative algorithms such as k-means, SPC takes a deterministic approach: it uses percentiles and running averages to form cluster centers directly from the data, producing smooth, interpretable market state segmentation that updates live with every bar. Most clustering algorithms are designed for offline datasets, they require recomputation, multiple iterations, and fixed sample sizes. SPC borrows from both statistical normalization and distance-based clustering theory , but simplifies them. Percentiles ensure that cluster centers are resistant to outliers , while the running mean provides a stable mid-point reference. Unlike iterative methods, SPC’s centers evolve smoothly with time, ideal for charts that must update in real time without sudden reclassification noise. SPC provides a simple yet powerful clustering heuristic that: Runs continuously in a charting environment, Remains interpretable and reproducible, And allows traders to see how close the current market state is to transitioning between regimes. Clustering by Percentiles Traditional clustering methods find centers through iteration. SPC defines them deterministically using three simple statistics within a moving window: Lower percentile (p_low) → captures the lower basin of feature values. Upper percentile (p_high) → captures the upper basin. Mean (mid) → represents the central tendency. From these, SPC computes stable “centers”: // K = 2 → two regimes (e.g., bullish / bearish) = // K = 3 → adds a neutral zone = These centers move gradually with the market, forming live regime boundaries without ever needing convergence steps. Two clusters capture directional bias; three clusters add a neutral ‘range’ state. Multi-Feature Fusion While SPC can cluster a single feature such as RSI, CCI, Fisher Transform, DMI, Z-Score, or the price-to-MA ratio (MAR), its real strength lies in feature fusion. Each feature adds a unique lens to the clustering system. By toggling features on or off, traders can test how each dimension contributes to the regime structure. In “Clusters” mode, SPC measures how far the current bar is from each cluster center across all enabled features, averages these distances, and assigns the bar to the nearest combined center. This effectively creates a multi-dimensional regime map , where each feature contributes equally to defining the overall market state. The fusion distance is computed as: dist := (rsi_d * on_off(use_rsi) + cci_d * on_off(use_cci) + fis_d * on_off(use_fis) + dmi_d * on_off(use_dmi) + zsc_d * on_off(use_zsc) + mar_d * on_off(use_mar)) / (on_off(use_rsi) + on_off(use_cci) + on_off(use_fis) + on_off(use_dmi) + on_off(use_zsc) + on_off(use_mar)) Because each feature can be standardized (Z-Score), the distances remain comparable across different scales. Fusion mode combines multiple standardized features into a single smooth regime signal. Visualizing Proximity - The Transition Gradient Most indicators show binary or discrete conditions (e.g., bullish/bearish). SPC goes further, it quantifies how close the current value is to flipping into the next cluster. It measures the distances to the two nearest cluster centers and interpolates between them: rel_pos = min_dist / (min_dist + second_min_dist) real_clust = cluster_val + (second_val - cluster_val) * rel_pos This real_clust output forms a continuous line that moves smoothly between clusters: Near 0.0 → firmly within the current regime Around 0.5 → balanced between clusters (transition zone) Near 1.0 → about to flip into the next regime Smooth interpolation reveals when the market is close to a regime change. How to Tune the Parameters SPC includes intuitive parameters to adapt sensitivity and stability: K Clusters (2–3): Defines the number of regimes. K = 2 for trend/range distinction, K = 3 for trend/neutral transitions. Lookback: Determines the number of past bars used for percentile and mean calculations. Higher = smoother, more stable clusters. Lower = faster reaction to new trends. Lower / Upper Percentiles: Define what counts as “low” and “high” states. Adjust to widen or tighten cluster ranges. Shorter lookbacks react quickly to shifts; longer lookbacks smooth the clusters. Visual Interpretation In “Clusters” mode, SPC plots: A colored histogram for each cluster (red, orange, green depending on K) Horizontal guide lines separating cluster levels Smooth proximity transitions between states Each bar’s color also changes based on its assigned cluster, allowing quick recognition of when the market transitions between regimes. Cluster bands visualize regime structure and transitions at a glance. Practical Applications Identify market regimes (bullish, neutral, bearish) in real time Detect early transition phases before a trend flip occurs Fuse multiple indicators into a single consistent signal Engineer interpretable features for machine-learning research Build adaptive filters or hybrid signals based on cluster proximity Final Notes Simplified Percentile Clustering (SPC) provides a balance between mathematical rigor and visual intuition. It replaces complex iterative algorithms with a clear, deterministic logic that any trader can understand, and yet retains the multidimensional insight of a fusion-based clustering system. Use SPC to study how different indicators align, how regimes evolve, and how transitions emerge in real time. It’s not about predicting; it’s about seeing the structure of the market unfold. Disclaimer This indicator is intended for educational and analytical use. It does not generate buy or sell signals. Historical regime transitions are not indicative of future performance. Always validate insights with independent analysis before making trading decisions.
Pine Script®指標
由InvestorUnknown提供
2
200W MA Valuation ZonesInspired by "Crypto Currently" 📈 200-Week MA Valuation Zones Indicator This script visualizes long-term valuation zones based on the 200-week moving average (MA) — a widely followed metric for identifying major market cycle bottoms and tops. It divides price levels into five distinct zones relative to the 200W MA: 🟦 Very Cheap — Below 200W MA 🟩 Cheap — 1.0× to 1.5× 200W MA 🟨 Fair Value — 1.5× to 2.0× 200W MA 🟧 Expensive — 2.0× to 2.5× 200W MA 🟥 Very Expensive — Above 2.5× 200W MA You can choose to anchor zones to the current price or display full historical bands. Color-coded regions and labels make it easy to identify when an asset is historically undervalued or overvalued based on long-term moving averages.
Pine Script®指標
由dt6xfc9wxk提供
Momentum-Based Fair Value Gaps [BackQuant]Momentum-Based Fair Value Gaps A precision tool that detects Fair Value Gaps and color-codes each zone by momentum, so you can quickly tell which imbalances matter, which are likely to fill, and which may power continuation. What is a Fair Value Gap A Fair Value Gap is a 3-candle price imbalance that forms when the middle candle expands fast enough that it leaves a void between candle 1 and candle 3. Bullish FVG : low > high . This marks a bullish imbalance left beneath price. Bearish FVG : high < low . This marks a bearish imbalance left above price. These zones often act as magnets for mean reversion or as fuel for trend continuation when price respects the gap boundary and runs. Why add momentum Not all gaps are equal. This script measures momentum with RSI on your chosen source and paints each FVG with a momentum heatmap. Strong-momentum gaps are more likely to hold or propel continuation. Weak-momentum gaps are more likely to fill. Core Features Auto FVG Detection with size filters in percent of price. Momentum Heatmap per gap using RSI with smoothing. Multiple palettes: Gradient, Discrete, Simple, and scientific schemes like Viridis, Plasma, Inferno, Magma, Cividis, Turbo, Jet, plus Red-Green and Blue-White-Red. Bull and Bear Modes with independent toggles. Extend Until Filled : keep drawing live to the right until price fully fills the gap. Auto Remove Filled for a clean chart. Optional Labels showing the smoothed RSI value stored at the gap’s birth. RSI-based Filters : only accept bullish gaps when RSI is oversold and bearish gaps when RSI is overbought. Performance Controls : cap how many FVGs to keep on chart. Alerts : new bullish or bearish FVG, filled FVG, and extreme RSI FVGs. How it works Source for Momentum : choose Returns, Close, or Volume. Returns computes percent change over a short lookback to focus on impulse quality. RSI and Smoothing : RSI length and a small SMA smooth the signal to stabilize the color coding. Gap Scan : each bar checks for a 3-candle bullish or bearish imbalance that also clears your minimum size filter in percent of price. Heatmap Color : the gap is painted at creation with a color from your palette based on the smoothed RSI value, preserving the momentum signature that formed it. Lifecycle : if Extend Unfilled is on, the zone projects forward until price fully trades through the far edge. If Auto Remove is on, a filled gap is deleted immediately. How to use it Scan for structure : turn on both bullish and bearish FVGs. Start with a moderate Min FVG Size percent to reduce noise. You will see stacked clusters in trends and scattered singletons in chop. Read the colors : brighter or stronger palette values imply stronger momentum at gap formation. Weakly colored gaps are lower conviction. Decide bias : bullish FVGs below price suggest demand footprints. Bearish FVGs above price suggest supply footprints. Use the heatmap and RSI value to rank importance. Choose your playbook : Mean reversion : target partial or full fills of opposing FVGs that were created on weak momentum or that sit against higher timeframe context. Trend continuation : look for price to respect the near edge of a strong-momentum FVG, then break away in the direction of the original impulse. Manage risk : in continuation ideas, invalidation often sits beyond the opposite edge of the active FVG. In reversion ideas, invalidation sits beyond the gap that should attract price. Two trade playbooks Continuation - Buy the hold of a bullish FVG Context uptrend. A bullish FVG prints with strong RSI color. Price revisits the top of the gap, holds, and rotates up. Enter on hold or first higher low inside or just above the gap. Invalidation: below the gap bottom. Targets: prior swing, measured move, or next LV area. Reversion - Fade a weak bearish FVG toward fill Context range or fading trend. A bearish FVG prints with weak RSI color near a completed move. Price fails to accelerate lower and rotates back into the gap. Enter toward mid-gap with confirmation. Invalidation: above gap top. Target: opposite edge for a full fill, or the gap midline for partials. Key settings Max FVG Display : memory cap to keep charts fast. Try 30 to 60 on intraday. Min FVG Size % : sets a quality floor. Start near 0.20 to 0.50 on liquid markets. RSI Length and Smooth : 14 and 3 are balanced. Increase length for higher timeframe stability. RSI Source : Returns : most sensitive to true momentum bursts Close : traditional. Volume : uses raw volume impulses to judge footprint strength. Filter by RSI Extremes : tighten rules so only the most stretched gaps print as signals. Heatmap Style and Palette : pick a palette with good contrast for your background. Gradient for continuous feel, Discrete for quick zoning, Simple for binary, Palette for scientific schemes. Extend Unfilled - Auto Remove : choose live projection and cleanup behavior to match your workflow. Reading the chart Bullish zones sit beneath price. Respect and hold of the upper boundary suggests demand. Strong green or warm palette tones indicate impulse quality. Bearish zones sit above price. Respect and hold of the lower boundary suggests supply. Strong red or cool palette tones indicate impulse quality. Stacking : multiple same-direction gaps stacked in a trend create ladders. Ladders often act as stepping stones for continuation. Overlapping : opposing gaps overlapping in a small region usually mark a battle zone. Expect chop until one side is absorbed. Workflow tips Map higher timeframe trend first. Use lower timeframe FVGs for entries aligned with the higher timeframe bias. Increase Min FVG Size percent and RSI length for noisy symbols. Use labels when learning to correlate the RSI numbers with your palette colors. Combine with VWAP or moving averages for confluence at FVG edges. If you see repeated fills and refills of the same zone, treat that area as fair value and avoid chasing. Alerts included New Bullish FVG New Bearish FVG Bullish FVG Filled Bearish FVG Filled Extreme Oversold FVG - bullish Extreme Overbought FVG - bearish Practical defaults RSI Length 14, Smooth 3, Source Returns. Min FVG Size 0.25 percent on liquid majors. Heatmap Style Gradient, Palette Viridis or Turbo for contrast. Extend Unfilled on, Auto Remove on for a clean live map. Notes This tool does not predict the future. It maps imbalances and momentum so you can frame trades with clearer context, cleaner invalidation, and better ranking of which gaps matter. Use it with risk control and in combination with your broader process.
Pine Script®指標
由BackQuant提供
Gold and Bitcoin: The Evolution of Value!The Eternal Luster of Gold In the dawn of time, when the earth was young and rivers whispered secrets to the stones, a wanderer named Elara found a gleam in the silt of a sun-kissed stream. It was pure gold, radiant like a captured star fallen from the heavens. She held it in her palm, feeling its warmth pulse like a heartbeat, and in that moment, humanity’s soul awakened to the allure of eternity. As seasons turned to centuries, gold wove itself into the story of empires. In ancient Egypt, pharaohs crowned themselves with its glow, believing it to be the flesh of gods. It built pyramids that reached for the sky and tombs that guarded kings forever. Across the sands in Mesopotamia, merchants traded it for spices and silks, its weight a promise of power and trust. Translation moment: Gold became the first universal symbol of value. People trusted it more than words or promises because it did not rust, fade, or vanish. The Greeks saw in gold not only wealth but wisdom, the symbol of the sun’s eternal fire. Alexander the Great carried it across the continent, forging an empire of golden threads. Rome rose on its back, minting coins whose clink echoed through history. Through the ages, gold endured the rush of California’s dreamers, the halls of Versailles, and the quiet vaults of modern fortunes. It has been both a curse and a blessing, the fuel of wars and the gift of love, whispering of beauty’s fragility and the human desire for something that lasts beyond the grave. In its shine, we see ourselves fragile yet forever chasing light. The Digital Dawn of Bitcoin Centuries later, under the glow of computer screens, a visionary named Satoshi dreamed of a new gold born not from the earth but from the ether of ideas. Bitcoin appeared in 2009 amid a world weary of banks and broken trust. Like gold’s ancient gleam, Bitcoin was mined not with picks but with puzzles solved by machines. It promised freedom, a currency without kings, flowing from person to person, unbound by borders or empires. Translation moment: Bitcoin works like digital gold. Instead of digging the ground, miners use computers to solve problems and unlock new coins. No one controls it, and that is what makes it powerful. Through doubt and frenzy, it rose as a beacon for those seeking sovereignty in a digital world. Its volatility became its soul, a reminder that true value is built on belief. Bitcoin speaks to ingenuity and rebellion, a star of code guiding us toward a future where wealth is weightless yet profoundly honest. Gold’s Cycles: Echoes of War and Crisis In the early 20th century, gold was held under fixed prices until the Great Depression of 1929 shattered these illusions. The 1934 dollar devaluation lifted it from 20.67 to 35, restoring faith amid despair. When World War II erupted in 1939, gold’s role as a refuge was muted by controls, yet it quietly held its place as the world’s silent guardian. The 1970s awakened its wild spirit. The Nixon Shock of 1971 freed gold from 35, sparking a bull run during the 1973 Oil Crisis. The 1979 Iranian Revolution led to a 1980 peak of 850, a leap of more than 2,000 percent, as investors sought safety from the chaos. Translation moment: When fear rises, people rush to gold. Every major war or economic crisis has sent gold upward because it feels safe when paper money loses trust. The 1987 stock crash caused brief dips, but the 1990 Gulf War reignited its glow. Around 2000, after the Dot-com Bust, gold found new life, climbing from $ 270 to over $1,900 during the 2008 Financial Crisis. It dipped to 1050 in 2015, then surged again past 2000 during the 2020 pandemic. The 2022 Ukraine War added another chapter with prices climbing above 2700 by 2025. Across a century of crises, gold has risen whenever fear tested humanity’s resolve, teaching patience and fortitude through its quiet endurance. Bitcoin’s Cycles: Echoes of Innovation and Crisis Born from the ashes of the 2008 Financial Crisis, Bitcoin began its story at mere cents. It traded below $1 until 2011, when it reached $30 before crashing by 90 percent following the MTGOX collapse. In 2013, it soared to 1242 only to fall again to 200 in 2015 as regulations tightened. The 2017 bull run lifted it to nearly 20000 before another long winter brought it to 3200 in 2018. Each fall taught resilience, each rise renewed belief. During the 2020 pandemic, it fell below 5000 before rallying to 69000 in 2021. The Ukraine War and the FTX collapse of 2022 brought it down to 16000, but also proved its role in humanitarian aid. By 2024, the halving and ETF approvals helped it break 100000, marking Bitcoin’s rise as digital gold. Translation moment: Bitcoin’s rhythm follows four-year halving cycles when mining rewards are cut in half. This keeps supply limited, which often triggers new bull runs as demand returns. Every four years, it's halving cycles 2012, 2016, 2020, 2024, fueling new waves of adoption and correction. Bitcoin grows strongest in times of uncertainty, echoing humanity’s drive to evolve beyond limits. The Harmony of Gold and Bitcoin Modern Parallels In today’s markets, gold’s ancient glow meets Bitcoin’s electric pulse. As of October 17, 2025, their correlation stands near 0.85, close to its historic high of 0.9. Both rise as guardians against inflation and the erosion of trust in the dollar. Gold trades near 4310 per ounce a record high while Bitcoin hovers around 104700 showing brief fractures in their unity. Gold offers the comfort of touch while Bitcoin provides the thrill of code. Together, they reflect fear and hope, the twin emotions that drive every market. Translation moment: A correlation of 0.85 means they often move in the same direction. When fear or inflation rises, both gold and Bitcoin tend to rise in tandem. Analysts warn of bubbles in stocks, gold, and crypto, yet optimism remains for Bitcoin’s growth through 2026, while gold holds its defensive strength. Gold carries risks of storage cost and theft, but steadiness in chaos. Bitcoin carries volatility and regulatory challenges, but it also offers unmatched innovation and reach. One is the anchor, the other the dream, and both reward those who hold conviction through uncertainty. Epilogue: The Timeless Balance Gold and Bitcoin form a bridge between the ancient and the future. Gold, the earth’s eternal treasure, stands as a symbol of stability and truth. Bitcoin, the digital heir, shines with the spark of innovation and freedom. Experts view gold as the ultimate inflation hedge, forged in fire and tested over centuries. They see Bitcoin as its digital counterpart, scarce by code and limitless in reach. Gold’s weight grounds us in reality while Bitcoin’s light expands our imagination. In 2025, as gold surpasses $4,346 and Bitcoin hovers near $105,000, the wise investor sees not rivals but reflections. Translation moment: Gold reminds us to protect what we have. Bitcoin reminds us to dream of what could be. Together, they balance caution and courage, the two forces every generation must master. One whispers of legacy, the other of evolution, yet together they tell humanity’s oldest story, our unending quest to preserve value against time and to chase the light that never fades. 🙏 I ask (Allah) for guidance and success. 🤲
Pine Script®指標
由HamadaMark提供
6
We Buy / We Sell - #TheStrat SignalsWe Buy / We Sell - #TheStrat SignalsDescription This indicator is inspired by the #TheStrat methodology from Rob Smith, designed to identify high-probability "We Buy" (bullish) and "We Sell" (bearish) signals for trading stocks, ETFs, or futures like AMEX:SPY or $VSAT. It combines price action reversal patterns, higher timeframe continuity (HTFC), and optional broadening formation (BF) breaks to time entries with market momentum. Key Features: We Buy Signals: Triggered on a 2d-2u reversal (bearish to bullish candle) when the higher timeframe (HTF) is bullish (green) and optionally at a BF bottom (pivot low break). Labeled as "We Buy" at the candle’s low with a green triangle. We Sell Signals: Triggered on a 2u-2d reversal (bullish to bearish candle) when the HTF is bearish (red) and optionally at a BF top (pivot high break). Labeled as "We Sell" at the candle’s high with a red triangle. Candle Numbering: Displays #TheStrat candle types (1=Inside, 2u=Up, 2d=Down, 3=Outside) for context. Debug Labels: Enabled by default, showing why signals don’t fire (e.g., "No HTFC Buy" if HTF isn’t bullish). Partial Signals: Optional faint circles for 2d-2u or 2u-2d reversals (without HTFC/BF), disabled by default. HTFC Background: Green (HTF bullish) or red (HTF bearish) background for timeframe alignment. How It Works Based on #TheStrat, the indicator seeks evidence of aggressive buying ("We Buy") or selling ("We Sell") by analyzing: Reversal Patterns: 2d-2u (We Buy): A bearish directional candle (2d) followed by a bullish directional candle (2u), signaling a potential bullish reversal. 2u-2d (We Sell): A bullish directional candle (2u) followed by a bearish directional candle (2d), signaling a potential bearish reversal. Higher Timeframe Continuity (HTFC): We Buy requires the HTF (e.g., 1H or Daily) to close above its open (bullish). We Sell requires the HTF to close below its open (bearish). Broadening Formation (BF): Optional pivot high/low breaks approximate BF extremes (tops for We Sell, bottoms for We Buy). Can be disabled (use_bf=false) for more frequent signals. How to Use Setup: Apply to a 5min chart of a liquid asset (e.g., AMEX:SPY , NASDAQ:VSAT ) for intraday trading, or higher timeframes for swing trading. Ensure sufficient chart history (TradingView > Chart Settings > Max Bars > 1000+). Settings: Higher Timeframe (htf): Default "60" (1H). Try "15" (15min) for faster signals or "D" (Daily) for swing trades. Pivot Lookback Length (pivot_len): Default 3. Lower to 1 for more signals, higher for stricter BF breaks. Require Broadening Formation (use_bf): Default true. Set to false to skip BF checks, increasing signal frequency. Show We Buy/We Sell Labels: Default true. Shows "We Buy" or "We Sell" on signal candles. Show Candle Numbers: Default true. Displays 1/2u/2d/3 for #TheStrat context. Show Debug Labels: Default true. Shows "No HTFC Buy", "No BF Buy", etc., to diagnose missing signals. Show Partial Signals: Default false. Enable to show faint circles for 2d-2u/2u-2d reversals without HTFC/BF. Trading: We Buy: Enter long on a green "We Buy" label (with triangle). Set stops below the signal candle’s low. Target BF highs or resistance. We Sell: Enter short on a red "We Sell" label (with triangle). Set stops above the signal candle’s high. Target BF lows or support. Use debug labels to understand why signals don’t fire (e.g., "No HTFC Buy" means HTF isn’t bullish). Partial signals (faint circles) indicate reversals without full conditions, useful for discretionary setups. Alerts: Right-click the indicator > "Add Alert" on we_buy or we_sell for real-time notifications. Tips Best Assets: Use on liquid tickers like AMEX:SPY , NASDAQ:QQQ , or NASDAQ:VSAT , as seen in @AlexsOptions ’ examples. Volatility: Signals are more frequent in trending or volatile markets. Check historical periods (e.g., September 2025) for testing. Risk Management: Always use stops (e.g., 1-2% risk per trade) and validate signals with market context (e.g., sector/index alignment). Learning #TheStrat: Study Rob Smith’s #TheStrat for deeper understanding of candle types and FTFC. Troubleshooting No Signals? Check debug labels (e.g., "No HTFC Buy" means HTF isn’t bullish). Adjust htf (e.g., "15" or "D"). Set use_bf=false or lower pivot_len to 1 for more signals. Ensure reversals (2d-2u or 2u-2d) are present (check candle numbers). Test on volatile periods or liquid tickers. No Partial Signals? Enable show_partial in settings to see faint circles for 2d-2u/2u-2d reversals. Confirm reversal patterns exist (e.g., "2d" → "2u" in candle numbers).
Pine Script®指標
由SmartGatorTrader提供
Diwali Lights Pro — 7-Diyas Signal Matrix [KedArc Quant]🎯 Overview “Diwali Lights Pro — 7-Diyas Signal Matrix” is a precision-built trend-sentiment indicator that blends the glow of seven technical “diyas” — each representing a different momentum or strength dimension — into one intuitive signal matrix. It was designed to celebrate light, discipline, and clarity in trading — helping traders filter noise, identify strong trend shifts, and take trades with conviction. Each diya is powered by a proven indicator component: RSI, Stochastic, EMA trend strength, and momentum slopes.Together, they light up your chart with buy/sell signals only when technical confluence aligns — like the diyas of Diwali shining in harmony. 💡 Core Concept The indicator computes a composite score (–9 to +9) by evaluating seven key parameters: | # | Diya | Logic | Interpretation | | 1 | RSI | Overbought / Oversold | Short-term momentum exhaustion | | 2 | Stochastic | Direction & zones | Confirmation of RSI | | 3 | Price vs EMA20 | Position of price | Near-term trend bias | | 4 | EMA20 Slope | Short-term momentum | Strength confirmation | | 5 | EMA50 Slope | Mid-term trend | Trend stability | | 6 | EMA100 Slope | Medium-term sentiment | Institutional bias | | 7 | EMA200 Slope | Long-term sentiment | Market direction baseline | The total of these 7 diyas creates a signal matrix that dynamically adapts to trend conditions. ⚙️ Inputs & Configuration | RSI Length | 14 | Standard RSI window | | Stochastic Length | 14 | Measures momentum oscillation | | EMA Periods | 20, 50, 100, 200 | Multi-layer trend structure | | Overbought / Oversold Zones | 70 / 30 | Configurable thresholds | | Show Buy/Sell Labels | ✅ | Toggle signal markers | | Show Banner | ✅ | Festive Diwali header with fireworks | | Twinkle Interval | 10 bars | Animation timing | | Fireworks Count | 18 | Visual celebration intensity | | Background Opacity | 100% | Style preference | 🧭 Entry & Exit Logic # ✅ Buy Signal (🪔) A Buy triggers when: * The total diya score crosses above zero, * And at least four of seven components turn bullish. This indicates that short-term oscillators, price action, and moving averages are all turning in unison — a strong entry zone after a pullback. # 🔥 Sell Signal (🔥) A Sell triggers when: * The total diya score crosses below zero, * And multiple slopes or price conditions flip bearish. This flags weakening momentum and possible trend exhaustion. # 💬 Suggested Usage * Works beautifully on 5-min to 1-hour charts. * Best when used with trend confirmation tools (volume, price structure). * Avoid entering trades when signals flip rapidly within narrow ranges (sideways zones). 🧪 Mathematical Formulae 1. RSI Bucket (p₁): p₁ = 2 if RSI < Very Oversold 1 if RSI < Oversold 0 if neutral -1 if RSI > Overbought -2 if RSI > Very Overbought 2. Stochastic Bucket (p₂): Similar to RSI bucketing. 3. Price vs EMA20 (p₃): p₃ = sign(close - EMA20) 4–7. Slope Sign (EMA20, 50, 100, 200): p₄₋₇ = sign(EMA - EMA ) Total Score = Σ(p₁…p₇) → Crossover(total_score, 0) → Buy Signal → Crossunder(total_score, 0) → Sell Signal 📊 Why It’s Not Just a Mash-Up Diwali Lights Pro uses: * A unified scoring engine with weighted logic rather than conflicting triggers. * Each component (diya) contributes equally, creating a normalized sentiment index. * Smart signal filtering prevents repetitive false flips by enforcing trend alignment across multiple time frames. * A dynamic, responsive structure optimized for clarity and minimal repainting. 🎆 Unique Add-Ons * Top-Right Diwali Banner: Festive “Happy Diwali” with animated fireworks 🎇 and diyas 🪔. * Signal Filtering: Reduces noise in volatile ranges. * EMA Cloud Context: Visual clarity of multi-layer trend zones. * Optional Light Mode: Change fireworks opacity for a subtle or bright effect. 📘 FAQ Q1: Does this repaint? No — it uses confirmed values (RSI, Stochastic, EMA slopes). Signals appear only after the bar closes. Q2: Which timeframes work best? Between 5m and 1h, depending on your strategy. Use higher EMAs for swing setups. Q3: Can I use it with alerts? Yes, both Buy and Sell triggers come with built-in `alertcondition()` for instant notifications. Q4: Can it be combined with other indicators? Absolutely — it pairs well with volume profiles, volatility bands, or order-flow systems. 🪔 Glossary | Diya | Candle or light — here, each diya = one technical indicator | | EMA | Exponential Moving Average — measures smoothed trend bias | | RSI | Relative Strength Index — momentum overbought/oversold oscillator | | Stochastic | Momentum oscillator measuring closing levels relative to highs/lows | | Slope Sign | Direction of EMA movement — rising or falling | | Signal Matrix | The combined system of all seven diyas generating a unified score | 🧭 Final Note > *Diwali Lights Pro* is not just a trading tool — it’s a visual celebration of confluence and discipline. > When the diyas align, trends shine. Use it to trade in harmony with light, not against it. 🌟 ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Pine Script®指標
由kedarcquant提供
Liquidity Sweep Filter [Magu]SMC The smart money concept in forex trading involves understanding the behavior of institutional players, such as banks and hedge funds, and analyzing supply and demand dynamics, order blocks, and price patterns. SMC is often seen as a repackaged version of price action trading with a long history of producing positive results in various asset classes Market liquidity is a fundamental concept in financial markets that significantly impacts trading strategies, asset pricing, and financial stability. The stock market is a prime example of a financial market where liquidity plays a crucial role in determining asset prices and trading strategies. Understanding market liquidity helps investors and traders make informed decisions, especially during times of market volatility. This article explores the key concepts, factors affecting liquidity, and strategies to navigate both liquid and illiquid markets
Pine Script®指標
由rockeyr724提供
Tick-Based Delta Volume BubblesTICK-BASED DELTA VOLUME BUBBLES OVERVIEW A real-time order flow indicator that displays volume delta at the tick level, helping traders identify buying and selling pressure as it develops during live market hours. Unlike traditional volume delta indicators that rely on bar close data, this indicator captures actual tick-by-tick volume changes and directional bias, providing granular insight into market dynamics. HOW IT WORKS The indicator monitors live tick data during real-time trading by tracking volume increases between consecutive price updates. Each time volume increments, the script calculates the volume delta, determines price direction, assigns directional bias to the volume, and accumulates net delta for each bar. This methodology is identical to the tick detection mechanism used in professional cumulative volume delta tools, ensuring accuracy and reliability. FEATURES Real-Time Tick Detection - Captures genuine tick-by-tick volume flow using varip persistence - Not estimated from OHLC data - Processes actual market ticks as they occur Adaptive Bubble Sizing - Bubbles scale based on delta strength relative to a customizable moving average (default 20 bars) - Highlights significant order flow imbalances - Five size levels from tiny to huge Dual Display Modes - Normal Mode: Sized bubbles with optional volume labels positioned at bar midpoint - Minimal Mode: Clean dots above/below bars for unobtrusive delta visualization Flow Classification - Aggressive Buy (bright green): Strong positive delta with greater than 1.2x strength - Aggressive Sell (bright red): Strong negative delta with greater than 1.2x strength - Passive Buy (light green): Moderate positive delta - Passive Sell (light red): Moderate negative delta Intensity Mode (Optional) - Gray: Low intensity (less than 0.5x average) - Blue: Medium intensity (0.5-1.0x average) - Orange: High intensity (1.0-2.0x average) - Red: Extreme intensity (greater than 2.0x average) Smart Filtering - Percentile-based filters (customizable) ensure only significant delta events are displayed - Reduces chart clutter while highlighting important order flow - Separate thresholds for bubble display and numeric labels Data Collection Status - Optional progress box in top-right corner - Shows real-time bar collection progress - Displays percentage completion and bars remaining - Automatically hides when sufficient data is collected Hide Until Ready Option - Suppresses bubble display until the averaging period is complete - Prevents misleading signals from incomplete data - Default requires 20 bars before displaying bubbles SETTINGS Delta Average Length (1-200, default 20) - Lookback period for calculating delta strength baseline - Higher values = longer-term delta comparison - Lower values = more sensitive to recent changes Hide Bubbles Until Enough Data - Prevents display until averaging period completes - Ensures reliable delta strength calculations Show Data Collection Status Box - Displays progress indicator during initialization - Can be disabled if you understand the warmup period Minimal Mode - Switches to simple dot display above/below bars - Green dots above bars = positive delta - Red dots below bars = negative delta - Maintains color intensity or flow type classification Show Bubbles - Master toggle for bubble display Bubble Volume Percentile (0-100, default 60) - Minimum percentile rank required to display bubble - Higher values = fewer, more significant bubbles - Lower values = more bubbles displayed Show Numbers in Bubbles - Toggle delta value labels - Only appears in normal mode - Disabled automatically in minimal mode Label Volume Percentile (0-100, default 90) - Higher threshold for displaying numeric labels - Typically set higher than bubble percentile - Reduces label clutter on chart Intensity Mode - Switch from flow-type coloring to magnitude-based coloring - Useful for identifying volume spikes regardless of direction IMPORTANT NOTES Real-Time Only: This indicator processes live tick data and does not provide historical analysis. It begins collecting data when added to a live chart. Volume Required: Symbol must have volume data available. Will not function on symbols without volume (most forex pairs from retail brokers). Initialization Period: Requires the specified number of bars (default 20) to calculate accurate delta strength. Use the "Hide Until Ready" option to prevent premature signals. Market Hours: Only collects data during live market hours. Does not backfill historical data. CREDITS Tick detection methodology inspired by the Kioseff Trading Tick CVD indicator. This implementation adapts the same core tick-level volume delta calculation for bubble-style visualization and per-bar delta analysis.
Pine Script®指標
由shui2967提供
1
Multi Length Market Structure (BoS + ChoCh)█ OVERVIEW The "Multi Length Market Structure (BoS + ChoCh)" indicator is a technical analysis tool that identifies key pivot points on the chart and signals market structure breaks (Break of Structure - BoS) and changes in market character (Change of Character - ChoCh). It is designed for traders employing market structure-based strategies, enabling the identification of critical support and resistance levels and potential trend reversal points. The indicator offers flexible pivot length settings, customizable colors, and labels, ensuring clarity and precision on the chart. █ CONCEPTS The indicator was developed to simplify the identification of changes in market structure, catering to both short-term and longer-term trading strategies. To this end, it simultaneously displays breakouts for four editable pivot lengths. The lengths represent the delay, measured in the number of candles, after which a pivot is recognized. Pivots with larger values are often turning points on higher timeframes, providing a broader view of the market. Why are BoS and ChoCh important? A Break of Structure (BoS) indicates trend continuation when the price breaks a key level (e.g., a previous high or low). A Change of Character (ChoCh) signals a potential trend reversal when the price breaks a level in the opposite direction of the prior trend. These signals help traders identify moments when the market changes its dynamics, which is crucial for price action strategies. █ FEATURES - Pivot Detection: Identifies pivot points (highs and lows) based on four different pivot lengths (default: 5, 10, 15, 20), enabling market structure analysis with varying sensitivity. - BoS and ChoCh Signals: Generates Break of Structure (BoS) signals in the form of triangles (green for bullish, red for bearish) and Change of Character (ChoCh) signals when the price breaks a key level in the opposite direction of the prior trend. - Pivot Labels: Displays labels for highs (HH - Higher High, LH - Lower High) and lows (HL - Higher Low, LL - Lower Low) with the option to select which pivot to display them for. - Customizable Colors and Styles: Allows configuration of colors for BoS and ChoCh signals and pivot labels. - Alerts: Built-in alerts for BoS and ChoCh signals for each pivot length, including price and signal type descriptions. █ HOW TO USE Adding to the Chart: Add the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configuring Settings: - Pivot Lengths: Set four different pivot lengths (Pivot Length 1-4, default: 5, 10, 15, 20) to adjust the sensitivity of pivot detection. Shorter lengths are more sensitive, while longer lengths are more significant. If you want to use only one length, set all pivot lengths to the same value. - Colors and Styles: Configure colors for BoS signals (green for bullish, red for bearish) and pivot labels. - Labels: Enable/disable the display of HH/HL/LH/LL labels and choose which pivot to display them for (Pivot 1-4 or none). - Signals: BoS and ChoCh signals are displayed as triangles (upward for bullish BoS, downward for bearish). Alerts can be configured for each signal type. Interpreting Signals: - Bullish BoS Signal: A green triangle below the candle indicates a breakout above a previous high, suggesting bullish trend continuation. - Bearish BoS Signal: A red triangle above the candle indicates a breakout below a previous low, suggesting bearish trend continuation. - Bullish ChoCh Signal: A green triangle after breaking a high in a downtrend indicates a potential reversal to bullish. - Bearish ChoCh Signal: A red triangle after breaking a low in an uptrend indicates a potential reversal to bearish. - Pivot Levels: Use pivot points as dynamic support and resistance levels. Levels from longer pivots carry greater significance. Combine signals with other technical analysis tools, such as RSI (to identify overbought/oversold conditions) or MACD (to confirm momentum). Analyze market structure on higher timeframes for stronger signals. Be particularly cautious when entering positions if RSI approaches overbought/oversold zones and divergences appear, as this may indicate a trend change. █ APPLICATIONS - Breakout Strategies: Trade based on BoS signals indicating trend continuation. A BoS signal after breaking a high in an uptrend may suggest a strong bullish impulse, especially when supported by a rising MACD. - Reversal Strategies: ChoCh signals may indicate a potential trend reversal, particularly when confirmed by other indicators, such as RSI divergences or Fibonacci levels.
Pine Script®指標
由Uncle_the_shooter提供
MACD-V with RSI Gradient## Overview MACD-V is a volatility-adjusted momentum indicator that normalizes MACD using ATR. This version adds a dynamic RSI-based background gradient to highlight momentum zones visually. ## Features - **MACD-V Line**: EMA-based momentum normalized by ATR - **Signal Line**: EMA of MACD-V - **Histogram**: Color-coded based on slope and polarity - **RSI Gradient Background**: Shading from bright green (RSI > 75) to bright red (RSI < 30), with intermediate tones for momentum context ## Use Case Designed for 30-minute oil futures charts, this indicator helps identify: - Trend strength and reversals - Momentum zones using RSI shading - Pullback opportunities and exhaustion zones ## Inputs - Fast EMA (default: 12) - Slow EMA (default: 26) - Signal EMA (default: 9) - ATR Length (default: 26) ## Notes - RSI shading is purely visual—no alerts are wired in yet - Histogram renders behind MACD-V and Signal lines for clarity - Colors are tuned for dark charts ## Credits The MACD-v is an indicator created in 2015 by Alex Spiroglou and presented to the public in 2022 as a paper called: "𝗠𝗔𝗖𝗗-𝘃: 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗡𝗼𝗿𝗺𝗮𝗹𝗶𝘀𝗲𝗱 𝗠𝗼𝗺𝗲𝗻𝘁𝘂𝗺" It received the following Awards: 1. “𝐅𝐨𝐮𝐧𝐝𝐞𝐫𝐬 𝐀𝐰𝐚𝐫𝐝” (2022), for advances in Active Investment Management from the National Association of Active Investment Managers (NAAIM) 2. “𝐂𝐡𝐚𝐫𝐥𝐞𝐬 𝐇. 𝐃𝐨𝐰 𝐀𝐰𝐚𝐫𝐝” (2022) for outstanding research in Technical Analysis, from the Chartered Market Technicians Association (CMTA) The RSI Gradient was my idea, but quite frankly, if I go looking around I suppose I'll find that others had the same idea. This is the first time I've ever published any code, so if I stepped on anyone's toes. I'm sorry.
Pine Script®指標
由sylvarocks提供
1
Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)This indicator — “Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)” — automatically detects and visualizes swing highs, swing lows, and liquidity levels on the chart with rich analytics and customizable visuals. 🔍 Core Features Smart Swing Detection: Identifies pivot highs/lows based on adjustable left/right bar settings. Liquidity Visualization: Draws dynamic boxes and lines for liquidity pools and swing zones. Volume & OI Integration: Filters and colors levels using volume and Open Interest Δ (change). Strength Meter: Highlights strong liquidity levels with color gradients based on OI + volume intensity. Automatic Trendlines: Connects swing points with selectable style and width. Fibonacci Mapping: Automatically projects fib retracements (23.6%, 38.2%, 50%, 61.8%, 78.6%) from swing-to-swing for confluence zones. Statistics Panel: Displays live metrics — total levels, active/filled count, success rate, and average strength. Alerts System: Alerts for new swing formations and when price touches or breaks a level. Multi-Timeframe Option: Analyze swing structures from higher timeframes on any chart. Dual Theme Mode: Fully optimized for both Dark and Light interface preferences. ⚙️ Advanced Options Adjustable lookback range Hide or extend filled levels Configurable volume and OI thresholds Supports multiple OI data sources (Binance, BitMEX, Kraken) Fully dynamic text, color, and label alignment settings 💡 Use Case Perfect for Smart Money Concept (SMC) and ICT-style analysis, liquidity sweeps, and swing-based trading. Traders can quickly visualize where liquidity sits, track how it gets filled, and monitor structure shifts in real time.
Pine Script®指標
由KSA_369提供
2
Dynamic Volume Based Key Price LevelsDescription This indicator introduces a volume-based approach to detecting support and resistance zones. Instead of relying on price swings or pivots, it analyzes where the most trading activity occurred within a selected lookback period, then marks those levels directly on the chart. The result is a clear visual map of price areas with strong historical participation, which often act as reaction zones in future moves. How It Works The script divides the analyzed range into price bins, sums traded volume for each bin, and highlights the strongest levels based on their share of total volume. It also includes an optional multi-timeframe mode, allowing traders to analyze higher timeframe volume structures on a lower timeframe chart. Key Features 🔹 Volume-Based Key Levels Detection: Finds statistically meaningful price zones derived from raw volume data. 🔹 Multi-Timeframe Mode: Optionally use higher timeframe volume to identify key market structure levels. 🔹 Visual Customization: Configure colors, line styles, transparency, and label formatting. 🔹 Automatic Ranking: Highlights the strongest to weakest levels using a color gradient. 🔹 Dynamic Updates: Levels adapt automatically as new bars form. Inputs Overview Lookback Bars: Number of historical bars used for analysis. Price Bins: Defines the precision of volume distribution. Number of Lines: How many key levels to display. Min Volume %: Filters out less relevant low-volume bins. Extend Lines: Choose how lines are projected into the future. Use Higher Timeframe: Pull data from a higher timeframe for broader perspective. How to Use Apply the indicator to your chart and adjust the lookback period. Optionally enable higher timeframe mode for more stable long-term zones. Observe the horizontal lines — these represent volume-weighted support and resistance areas. Combine with your existing tools for trend or momentum confirmation. This tool helps visualize where market participation was strongest, giving traders a clearer view of potential reaction zones for both intraday and swing analysis. It’s intended as a visual analytical aid, not a signal generator. ⚠️Disclaimer: This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
Pine Script®指標
由IndicatorEliteFlow提供
PumpC Tick Levels Marker🧾 Description PumpC Tick Levels Marker A precision price-level visualization tool designed for futures and tick-based traders. Easily mark a single reference price and automatically plot symmetrical tick levels above and below it. 🔍 How It Works Select your Anchor Price — this acts as the central reference point. The script automatically plots upward and downward tick levels spaced by your chosen tick multiple. Labels display tick distance (+/- ticks) and can be offset to the right by a set number of bars for clean alignment near the price scale. ⚙️ Key Features One-click anchor control — define a single reference price. Custom tick spacing — choose your tick multiple and number of levels to show (up to 10 in each direction). Independent Up/Down toggles — display only the levels you need. Label offset control — move labels closer or farther from the price scale. Fully customizable styling — line color, width, and style (solid, dashed, dotted). Efficient cleanup logic — lines and labels refresh dynamically on update. 🧩 Perfect For Futures and index traders tracking tick increments (e.g., ES, NQ, CL). Measuring quick scalp targets or ATR-based micro-ranges. Visualizing equidistant price steps from a key breakout or reversal point. Created by: PumpC Trading Tools Version: 1.0 (Pine Script v6) License: Open for personal use — please credit “PumpC Tick Levels Marker” if reused or modified.
Pine Script®指標
由PumpCTrader提供
xVWAP (Multi-Source VWAP)This indicator lets you plot a true cross-symbol VWAP — volume-weighted average price taken from any symbol or from your current chart. It’s ideal for futures, micros/minis, indices, and correlated assets (e.g., MGC ↔ GC1!, MNQ ↔ NQ1!, ES ↔ SPX). You can choose the source symbol, anchor period, and display up to three standard-deviation bands around VWAP. In the chart, since I trade Micros, I used MGC1! (colored), then overlay it with the VWAP from GC1! (Grey).
Pine Script®指標
由bibabiera提供
1
Institutional Orderflow Pro — VWAP, Delta, and Liquidity Institutional Orderflow Pro is a next-generation order flow analysis indicator designed to help traders identify institutional participation, directional bias, and exhaustion zones in real time. Unlike traditional volume-based indicators, it merges VWAP dynamics, cumulative delta, relative volume, and liquidity proximity into a single unified dashboard that updates tick-by-tick — without repainting. The indicator is open-source, transparent, and educational. It aims to provide traders with a clearer read on who controls the market — buyers or sellers — and where liquidity lies. The indicator combines multiple institutional-grade analytics into one framework: RVOL (Relative Volume) = Compares current volume against the average of recent bars to identify strong institutional participation. zΔ (Delta Z-Score) = Normalizes the buying/selling delta to reveal unusually aggressive market behavior. CVDΔ (Cumulative Volume Delta Change) = Shows which side (buyers/sellers) is dominating this bar’s order flow. VWAP Direction & Slope = Determines whether price is trading above/below VWAP and whether VWAP is trending or flat. PD Distance (Prev Day Confluence) = Measures the current price’s distance from previous day’s high, low, close, and VWAP in ATR units — highlighting liquidity zones. ABS/EXH Detection = Identifies institutional absorption and exhaustion patterns where momentum may reverse. Bias Computation = Combines VWAP direction + slope to give a simplified regime signal: UP, DOWN, or FLAT. All metrics are displayed through a color-coded, non-repainting HUD: 🟢 = bullish / favorable conditions 🔴 = bearish / weak conditions ⚫ = neutral / flat 🟡 = absorption (potential trap zone) 🟠 = exhaustion (momentum fading) | Metric | Signal | Meaning | | ---------------------- | ------- | ---------------------------------------------- | | **RVOL ≥ 1.3** | 🟢 | High institutional activity — valid setup zone | | **zΔ ≥ 1.2 / ≤ -1.2** | 🟢 / 🔴 | Unusual buy/sell aggression | | **CVDΔ > 0** | 🟢 | Buyers dominate this bar | | **VWAP dir ↑ / ↓** | 🟢 / 🔴 | Institutional bias long/short | | **Slope ok = YES** | 🟢 | Trending market | | **PD dist ≤ 0.35 ATR** | 🟢 | Near key liquidity zones | | **Bias = UP/DOWN** | 🟢 / 🔴 | Trend-aligned environment | | **ABS/EXH active** | 🟡 / 🟠 | Caution — possible reversal zone | How to Use Confirm Volume Context → RVOL > 1.2 Align with Bias → Take longs only when Bias = UP, shorts only when Bias = DOWN. Check Slope and VWAP Dir → Ensure trending context (Slope = YES). Confirm CVD and zΔ → Flow should agree with price direction. Avoid ABS/EXH Triggers → These signal exhaustion or absorption by large players. Enter Near PD Zones → Ideal trade zones are within 0.35 ATR of prior-day levels. This multi-factor confirmation reduces noise and focuses only on high-probability institutional setups. Originality This script was written from scratch in Pine v6. It does not reuse existing public indicators except for standard built-ins (ta.vwap, ta.atr, etc.). The unique combination of delta z-scoring, VWAP slope filtering, and real-time confluence zones distinguishes it from typical orderflow tools or cumulative delta overlays. The core innovation is its merged real-time HUD that integrates institutional metrics and natural-language feedback directly on the chart, allowing traders to read market context intuitively rather than decode multiple subplots. Notes & Disclaimers This indicator does not repaint. It’s intended for educational and analytical purposes only — not as financial advice or a guaranteed signal system. Works best on liquid instruments (Futures, Indices, FX majors). Avoid non-standard chart types (Heikin Ashi, Renko, etc.) for accurate readings. Open-source, modifiable, and compatible with Pine v6. Recommended Use Apply it with clean charts and standard candles for the best clarity. Use alongside a basic structure or volume profile to contextualize institutional bias zones. Author: Dhawal Ranka Category - Orderflow / VWAP / Institutional Analysis Version: Pine Script™ v6 License: Open Source (Educational Use)
Pine Script®指標
由thewallranka提供