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Multi Timeframe Market Structure ContinuationOverview This indicator identifies Break of Structure (BOS) and Change of Character (ChoCh) patterns using multi-timeframe (MTF) analysis to filter high-probability trade setups. By aligning lower timeframe signals with higher timeframe bias, it helps traders enter positions in the direction of the dominant trend while avoiding counter-trend traps. Multi-Timeframe Analysis The indicator analyzes market structure on two timeframes simultaneously: Current Timeframe (CTF): Detects immediate BOS and ChoCh signals for entry timing Higher Timeframe (HTF): Establishes the overall trend direction (default: 1H, customizable) Signals only appear when the current timeframe structure aligns with the higher timeframe bias, ensuring you're trading with the momentum, not against it. Break of Structure (BOS) BOS signals indicate trend continuation - when price breaks a previous high in an uptrend or a previous low in a downtrend. These are reliable entries that confirm the trend is still active and strong. Change of Character (ChoCh) ChoCh signals mark early trend reversals - when market structure shifts from bearish to bullish (or vice versa). When captured in alignment with the higher timeframe trend, ChoCh entries can achieve exceptional risk-to-reward ratios as they allow entry near the beginning of a new impulse move. Exit Signals Exit signals are plotted when a ChoCh occurs in the opposite direction of the HTF trend. For example, if the HTF is bullish and a bearish ChoCh forms on the current timeframe, an orange "EXIT" signal appears - warning long traders that the lower timeframe structure is shifting against them. This provides an early warning system to protect profits or minimize losses before the HTF trend itself reverses. Trading Strategy Recommendations Trending Markets (Recommended) In strong trending conditions, both BOS and ChoCh signals can be taken when aligned with the HTF bias. ChoCh entries are particularly powerful as they catch early reversals within the larger trend, offering entries with tight stop losses and extended profit targets. Ranging Markets During consolidation or choppy conditions, it's best to be selective and take only BOS entries. BOS signals confirm that the trend is continuing beyond the range, reducing false breakouts and whipsaw trades that are common with counter-trend ChoCh signals in sideways markets. Customization Pivot Length: Adjust the sensitivity of structure detection (default: 5). Lower values detect structure more frequently with earlier but potentially noisier signals. Higher values provide cleaner, more significant structural breaks but with some delay. Higher Timeframe: Customize the HTF to suit your trading style. Day traders might use 1H HTF on 5m charts, while swing traders could use 4H or Daily HTF. Alert System Six alert conditions available: Long BOS Entry / Long ChoCh Entry Short BOS Entry / Short ChoCh Entry Long Exit / Short Exit All alerts fire only on confirmed candle closes to eliminate repainting and false signals. Visual Features Color-coded background showing HTF bias Clear BOS/ChoCh labels with horizontal lines at structure levels Orange "EXIT" signals when structure breaks against your position Gray lines tracking current swing highs/lows HTF trend indicator in the top-right corner
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Dinkelfras tarafından
Custom Weekly WED→TUEPurpose: This indicator creates custom weekly candles with a week boundary running from Wednesday to Tuesday (WED→TUE) for any symbol. It is designed for systems that prefer to close the trading week on Tuesday’s session instead of the standard weekend. Custom Candle Logic (WED→TUE): • Open = Opening price on Wednesday (start of the custom week). • Close = Closing price on Tuesday (end of the custom week). • High/Low = Maximum/minimum during the entire range from Wednesday → Tuesday. Display Behavior: • Only renders when the chart timeframe = 1W (Weekly). • Completed weeks (with full Wed→Tue data) are shown as candlesticks (colored up/down based on O/C). • The current incomplete week is shown as a preview box shifted to the next weekly slot (the column to the right), allowing you to see the progress of the ongoing week while keeping the last completed week intact. Inputs: • Start day (1=Mon…7=Sun) — default is 3 = Wednesday. You can change this to redefine the week boundary. • Show current (incomplete) custom week — toggles the preview box for the current running week. • Up/Down/Doji color — defines the colors of completed weekly candles. • Preview box transparency — controls the opacity of the preview box for the ongoing week.
Pine Script® göstergesi
thienquang2309 tarafından
Previous Day & Week High/Low LevelsPrevious Day & Week High/Low Levels is a precision tool designed to help traders easily identify the most relevant price levels that often act as strong support or resistance areas in the market. It automatically plots the previous day’s and week’s highs and lows, as well as the current day’s developing internal high and low. These levels are crucial reference points for intraday, swing, and even position traders who rely on price action and liquidity behavior. Key Features Previous Day High/Low: The indicator automatically draws horizontal lines marking the highest and lowest prices from the previous trading day. These levels are widely recognized as potential zones where the market may react again — either rejecting or breaking through them. Previous Week High/Low: The script also tracks and displays the high and low from the last completed trading week. Weekly levels tend to represent stronger liquidity pools and broader institutional zones, which makes them especially important when aligning higher timeframe context with lower timeframe entries. Internal Daily High/Low (Real-Time Tracking): While the day progresses, the indicator dynamically updates the current day’s internal high and low. This allows traders to visualize developing market structure, identify intraday ranges, and anticipate potential breakouts or liquidity sweeps. Multi-Timeframe Consistency: All levels — daily and weekly — remain visible across any chart timeframe, from 1 minute to 1 day or higher. This ensures traders can maintain perspective and avoid losing track of key zones when switching views. Customizable Visuals: The colors, line thickness, and label visibility can be easily adjusted to match personal charting preferences. This makes the indicator adaptable to any trading style or layout, whether minimalistic or detailed. How to Use Identify Key Reaction Zones: Observe how price interacts with the previous day and week levels. Rejections, consolidations, or clean breakouts around these lines often signal strong liquidity areas or potential directional moves. Combine with Market Structure or Liquidity Concepts: The indicator works perfectly with supply and demand analysis, liquidity sweeps, order block strategies, or simply classic support/resistance techniques. Scalping and Intraday Trading: On lower timeframes (1m–15m), the daily levels help identify intraday turning points. On higher timeframes (1h–4h or daily), the weekly levels provide broader context and directional bias. Risk Management and Planning: Using these levels as reference points allows for more precise stop placement, target setting, and overall trade management. Why This Indicator Helps Markets often react strongly around previous highs and lows because these zones contain trapped liquidity, pending orders, or institutional decision points. By having these areas automatically mapped out, traders gain a clear and objective view of where price is likely to respond — without needing to manually draw lines every day or week. Whether you’re a beginner still learning about price structure, or an advanced trader refining entries within liquidity zones, this tool simplifies the process and keeps your charts clean, consistent, and data-driven.
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cauichluis365 tarafından
Composite Momentum System⚙️ Composite Momentum System — RSI + CCI + Momentum + MFI + (DI·ADX) × MACD² (4-Color Smoothed Signal) This advanced indicator fuses multiple momentum, volume, and trend components into one unified oscillator, dynamically visualized around a zero line. It helps traders identify powerful directional moves, trend reversals, and momentum exhaustion far earlier than traditional MACD or RSI alone. 🧩 Core Formula Composite = ((RSI + CCI + Momentum + MFI) + (((DI− × −1) + DI+) × ADX)) × (MACD²) RSI – captures relative strength and short-term momentum CCI – measures deviation from price mean (volatility & cycles) Momentum – shows raw velocity of price change MFI – volume-weighted momentum, adds money flow confirmation DI / ADX – directional strength and market trend intensity MACD² – amplifies strong momentum moves and filters weak noise 🌈 Visual Design & Features Zero-Centered Histogram: Green = Bullish momentum, Red = Bearish momentum MACD Signal Line (4 Colors): 🟢 Positive & Rising → strong up momentum 🟡 Positive & Falling → weakening uptrend 🔴 Negative & Falling → strong downtrend 🟠 Negative & Rising → possible bearish fade or reversal Adjustable Signal Smoothing: Choose MA type (SMA, EMA, RMA, WMA, VWMA) and custom smoothing length for cleaner visualization. ATR Normalization: Optional setting to keep MACD and composite values consistent across instruments. Centering Options: RSI and MFI can be centered (−50/+50) to balance oscillation around zero. 🎯 How to Use Above 0: Bullish composite energy → favor long setups. Below 0: Bearish composite energy → favor short setups. Signal line color changes highlight momentum acceleration or slowdown. Crosses through zero often precede major shifts or breakout moments. ⚡ Best Practice Use this indicator as a momentum strength filter in confluence with price action or volume patterns. Combine it with VWAP, higher-timeframe trend, or support/resistance zones for high-probability entries.
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Hay_C tarafından
3
Squeeze Momentum MACDSqueeze Momentum MACD 🧠 Description Squeeze Momentum MACD combines the concept of market volatility compression (the “squeeze”) from Bollinger Bands (BB) and Keltner Channels (KC) with a MACD-style momentum oscillator to reveal potential breakout phases. The indicator first calculates: BB Width = Upper Band − Lower Band KC Width = Upper Band − Lower Band Then it computes their difference: Δ = BB Width − KC Width When Δ > 0 → BB width is greater than KC width → volatility is expanding → potential momentum breakout. When Δ < 0 → BB is inside KC → volatility is compressing → potential squeeze phase before expansion. This Δ value is then processed through a MACD-style calculation: MACD Line = EMA(fast) − EMA(slow) Signal Line = EMA(MACD, signal length) Histogram = MACD − Signal The result is a visual momentum oscillator that behaves like MACD but measures volatility expansion instead of price direction. 🔹 Features: Dynamic 4-color MACD & Signal lines (positive/negative + rising/falling) Optional display of raw BB & KC widths Fully adjustable parameters for BB, KC, and MACD Works on all timeframes and instruments 🔹 Ideal For: Detecting market squeezes and breakout momentum Timing entries before volatility expansion Integrating volatility and momentum into a single framework
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Hay_C tarafından
(RSI + CCI) × (MACD/ATR)^2⚙️ (RSI + CCI) × (MACD / ATR)² Composite — Normalized, Compressed, Dynamic Colors This advanced composite oscillator merges three powerful momentum indicators — RSI, CCI, and MACD — into one normalized and volatility-adjusted signal that reacts smoothly across all markets. By dividing MACD by ATR (Average True Range), the indicator self-scales for different symbols, and an optional tanh-like compression prevents extreme spikes while keeping the movement fluid and responsive. 🧩 Core Formula (RSI + CCI) × (MACD / ATR)² (optionally passed through a tanh compression for stability) RSI and CCI are normalized (RSI ÷ 50, CCI ÷ 100) → roughly −2 to +2 range. MACD is volatility-adjusted by ATR → scale-independent between assets. The result is centered around 0 for clear bullish/bearish momentum comparison. 🎨 Visual Features 🟢🔴 Dynamic 4-Color Histogram Positive + Rising = Strong Teal Positive + Falling = Light Teal Negative + Falling = Strong Red Negative + Rising = Light Red 🟡⚫ 4-Color Smoothing Line Positive & Rising = Bright Yellow Positive & Falling = Soft Yellow Negative & Rising = Grey Negative & Falling = Dark Grey Zero-centered layout for intuitive bullish/bearish visualization. ⚙️ Adjustable Parameters Individual RSI, CCI, and MACD lengths and sources. ATR length for volatility normalization. Optional tanh-style compression with adjustable gain (to keep values in ±1 range). Fully customizable colors and line widths for both bars and smoothing line. 🔔 Alerts Triggered automatically when the composite crosses above or below zero, signaling potential trend reversals or momentum shifts. 💡 How to Use Composite > 0 → Bullish momentum ↑ Composite < 0 → Bearish momentum ↓ A brightening line or bar = momentum accelerating. A fading color = momentum weakening or reversal forming. Combine with higher-timeframe trend filters (EMA, VWAP, Supertrend) for confirmation.
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Hay_C tarafından
2
黄金专用LPPL特征检测（Log-Periodic Power Law Singularity）专门用于黄金走势的LPPL检测，在技术分析中，LPPL 奇点指的是对数周期幂律奇异性（Log-Periodic Power Law Singularity），它是对数周期幂律模型（LPPL）中的一个关键概念。以下是关于它的详细介绍： 提出者及背景：LPPL 模型是由研究市场泡沫的先驱者、物理学家迪迪埃・索尔内特（Didier Sornette）等人提出的。该模型结合了理性预期泡沫的经济理论、投资者的模仿和羊群行为的行为金融学以及分岔和相变的数学统计物理学，用于检测金融市场中的泡沫和预测市场转折点。 模型原理：LPPL 模型假设当市场出现泡沫时，资产价格会呈现出一种特殊的波动模式，这种模式由正反馈机制驱动。在泡沫形成过程中，投资者的模仿和跟风行为导致市场参与者的一致性和协同性急剧上升，价格出现 “快于指数” 的增长，同时伴随着加速的对数周期振荡。而 LPPL 奇点就是价格增长和振荡达到极限的那个有限时间点，在这个点之前，价格增长越来越快，振荡频率也越来越高，当到达奇点时，泡沫破裂，市场往往会出现急剧的反转和崩盘。 数学表达：LPPL 模型的数学公式较为复杂，其原始形式提出了一个由 3 个线性参数和 4 个非线性参数组成的函数。通过将这个函数与对数价格时间序列进行拟合，可以估计出模型的参数，进而确定奇点的时间位置等信息。 在金融市场中的应用：LPPL 模型及其中的奇点概念主要用于检测金融市场中的泡沫和预测市场的崩溃点。例如，在 2008 年石油价格泡沫和 2009 年上海股市泡沫等事件中，该模型都被用于分析和预测市场的转折点。不过，该模型也存在一定的局限性，比如对奇点具体点位的预测误差较大，而且市场情况复杂多变，可能会有强大的外力干扰等因素影响模型的准确性。 The LPPL model was proposed by physicist Didier Sornette, a pioneer in the study of market bubbles, and others. The model combines the economic theory of rational expectations bubbles, behavioral finance on investor imitation and herding behavior, and the mathematical statistical physics of bifurcations and phase transitions to detect bubbles in financial markets and predict market turning points. Model Principle: The LPPL model posits that when a market bubble forms, asset prices exhibit a distinctive pattern of fluctuation driven by a positive feedback mechanism. During the bubble's formation, investors' imitation and bandwagon-following behavior lead to a sharp increase in consistency and coordination among market participants, resulting in "faster-than-exponential" price growth accompanied by accelerating logarithmic-periodic oscillations. The LPPL singularity is the finite point in time where price growth and oscillation reach their limits. Prior to this point, prices grow increasingly faster, and the frequency of oscillations increases. When the singularity is reached, the bubble bursts, and the market often experiences a sharp reversal and crash.
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SidHaove tarafından
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. 🤲
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HamadaMark tarafından
9
Delta Volume ReversalThis script displays Delta Volume-based reversal arrows by analyzing buying vs. selling volume from a lower timeframe. An up arrow appears when a red candle closes with dominant buying volume (bullish delta), while a down arrow appears on green candles with dominant selling volume (bearish delta). This highlights potential hidden strength or weakness in price action. Credits: Original from Delta Volume by SiddWolf — adapted and enhanced with reversal arrow visualization.
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wendachye tarafından
1
US30 Quarter Levels (125-point grid) by FxMogul🟦 US30 Quarter Levels — Trade the Index Like the Banks Discover the Dow’s hidden rhythm. This indicator reveals the institutional quarter levels that govern US30 — spaced every 125 points, e.g. 45125, 45250, 45375, 45500, 45625, 45750, 45875, 46000, and so on. These are the liquidity magnets and reaction zones where smart money executes — now visualized directly on your chart. 💼 Why You Need It See institutional precision: The Dow respects 125-point cycles — this tool exposes them. Catch reversals before retail sees them: Every impulse and retracement begins at one of these zones. Build confluence instantly: Perfectly aligns with your FVGs, OBs, and session highs/lows. Trade like a professional: Turn chaos into structure, and randomness into rhythm. ⚙️ Key Features Automatically plots US30 quarter levels (…125 / …250 / …375 / …500 / …625 / …750 / …875 / …000). Color-coded hierarchy: 🟨 xx000 / xx500 → major institutional levels ⚪ xx250 / xx750 → medium-impact levels ⚫ xx125 / xx375 / xx625 / xx875 → intraday liquidity pockets Customizable window size, label spacing, and line extensions. Works across all timeframes — from 1-minute scalps to 4-hour macro swings. Optimized for clean visualization with no clutter. 🎯 How to Use It Identify liquidity sweeps: Smart money hunts stops at these quarter zones. Align structure: Combine with session opens, order blocks, or FVGs. Set precision entries & exits: Trade reaction-to-reaction with tight risk. Plan daily bias: Watch how New York respects these 125-point increments. 🧭 Designed For Scalpers, day traders, and swing traders who understand that US30 doesn’t move randomly — it moves rhythmically. Perfect for traders using ICT, SMC, or liquidity-based frameworks. ⚡ Creator’s Note “Every 125 points, the Dow breathes. Every 1000, it shifts direction. Once you see the rhythm, you’ll never unsee it.” — FxMogul
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leonelndam400 tarafından
BH Ergodic (TSI-style) [v5]The BG Ergodic script is a custom momentum and trend-confirmation tool that builds on the classic True Strength Index (TSI) and Ergodic Oscillator concepts. It smooths price momentum over multiple exponential averages to identify underlying trend direction, exhaustion, and potential reversals with reduced noise. Unlike a standard TSI, the BG Ergodic combines: Dual-smoothing filters for both momentum and signal lines, giving a cleaner response in choppy markets. Dynamic color transitions that highlight bullish and bearish phases based on crossovers and slope changes. Optional histogram plotting to visualize the spread between the Ergodic line and its signal line for early trend-shift detection. This indicator works best on swing or trend-following timeframes (e.g., 1H–1D) and can be used to: Confirm trend direction before entries, Filter false breakouts, or Spot momentum divergence near key support/resistance zones.
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mscarborough tarafından
Chart Fusion Line SND Detection by TitikSona🧭 Overview Fusion Line Momentum Analyzer is a momentum visualization tool that introduces a unified model of oscillator fusion. It blends Fast and Slow Stochastics with RSI into one adaptive curve, designed to eliminate conflicting signals between different momentum sources. Instead of reading three separate oscillators, the Fusion Line provides a consolidated view of strength and exhaustion zones in a single framework. This approach helps analysts detect aligned momentum shifts with greater clarity and less noise, without repainting or lagging methods. ⚙️ Core Concept Traditional oscillators often provide conflicting readings when volatility changes. To solve this, the Fusion Line averages three normalized components: Fast Stochastic (12,3,3) — reacts quickly to short-term momentum spikes. Slow Stochastic (100,8,8) — filters long-term momentum context. RSI (26) — measures internal strength between buying and selling pressure. Each is rescaled to a 0–100 range, then averaged into a single curve called the Fusion Line. A secondary Signal Line (SMA 9) is added to visualize directional confirmation. This combination aims to preserve responsiveness from the fast components while maintaining structural stability from the slow and RSI layers. 🌈 Features Unified momentum curve combining stochastic and RSI dynamics. Automatic bias shading to highlight dominant trend direction. Real-time percentage strength meter (visual intensity). Configurable alert triggers on key momentum zones (20/80). Clean chart display without unnecessary elements or overlays. 📘 Interpretation Rising Fusion Line → indicates strengthening bullish momentum. Falling Fusion Line → indicates strengthening bearish pressure. Fusion values below 20 → potential oversold recovery. Fusion values above 80 → possible exhaustion or reversal zone. Mid-zone movement → reflects equilibrium or sideways momentum. These readings should always be combined with higher timeframe structure or volume confirmation for context. ⚙️ Default Parameters Fast Stochastic (12,3,3) Slow Stochastic (100,8,8) RSI Length (26) Signal Line Smoothing (9) All values can be adjusted to adapt to asset volatility or timeframe conditions. ⚠️ Disclaimer This indicator is a research and visualization tool, not a signal generator. It does not predict price movement or guarantee performance. Use for analytical purposes only and combine with your own trading framework. 👨‍💻 Developer Created by TitikSona — Research & Fusion Concept Designer Built using Pine Script v6 Type: Open-source educational script 💬 Short Description Fusion-based momentum visualization combining Double Stochastic and RSI into one adaptive line for clearer, noise-free momentum analysis.
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TitikSona tarafından