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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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của Hay_C
3
(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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của Hay_C
2
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.
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của The_Peaceful_Lizard
7
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap! 🧠 Description This indicator automatically highlights Friday and Monday sessions on your chart — days when institutional players and algorithmic firms (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure. 🔍 Why Friday & Monday matter Friday : Large institutions often book profits or hedge into the weekend. Their final-hour moves reveal the next week’s bias. Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders. Together, these two days define the range traps and breakout zones that often control price action until midweek. > In short, the Friday–Monday high and low often act as invisible walls — guiding scalpers, option sellers, and swing traders alike. 🧩 What this tool does ✅ Highlights Friday (red) and Monday (green) sessions ✅ Adds optional day labels above bars ✅ Works across all timeframes (best on 15min to 1hr charts) ✅ Helps you visually identify where institutions likely built their positions Use it to quickly spot: * Range boundaries that trap traders * Gap zones likely to get filled * High–low sweeps before reversals ⚙️ Recommended Use 1. Mark Friday’s high–low → Watch for liquidity sweeps on Monday. 2. When Monday holds above Friday’s high , breakout continuation is likely. 3. When Monday fails below Friday’s low , expect a reversal or trap. 4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation. ⚠️ Disclaimer This indicator is for **educational and analytical purposes only**. It does **not constitute financial advice** or a trading signal. Markets are dynamic — always perform your own research before trading or investing.
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của JoanJagan
TrendShield Pro | DinkanWorldSmart Trailing Trend System Powered by EMA + ATR TrendShield Pro is a powerful trend detection and trailing stop indicator designed for traders who rely on pure price movement and volatility tracking. It dynamically adapts to market conditions using a combination of EMA (Exponential Moving Average) and ATR (Average True Range) to identify the active trend and place a visual trailing stop line. 🔍 How It Works TrendShield Pro combines trend direction and volatility to create a self-adjusting trailing system: EMA (Exponential Moving Average): Smooths price fluctuations and identifies the overall market bias. ATR (Average True Range): Measures volatility to determine how far the trailing stop should follow the trend. Dynamic Bands: Two invisible thresholds are formed — up and down — around the EMA using the ATR and your chosen Factor value. Trailing Logic: When the EMA is rising, the Trailing Stop (TUp) locks in higher lows. When the EMA is falling, the Trailing Stop (TDown) locks in lower highs. The indicator switches trend automatically based on price crossing these trailing levels. 🧭 Visuals & Features Green Trailing Line (Demand Trend): Indicates an active bullish trend. Red Trailing Line (Supply Trend): Indicates an active bearish trend. Arrow Signals: 🟢 Up Arrow → Bullish Trend Reversal 🔴 Down Arrow → Bearish Trend Reversal Diamond Markers: Show points where the trailing line shifts, marking dynamic volatility changes. ⚙️ Inputs Input Description EMA Period Length of the Exponential Moving Average ATR Period Period used for Average True Range calculation Factor Multiplier for ATR-based volatility expansion
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của DinkanWorld
Fair Value Gaps by DGTFair Value Gaps A refined, multi-timeframe Fair Value Gap (FVG) detection tool that brings institutional imbalance zones to life directly on your chart. Designed for precision, it visualizes how price delivers into inefficiencies across chart, higher, and lower (intrabar) timeframes — offering a fluid, structural view of liquidity displacement and market flow. The script continuously tracks unfilled, partially repaired, and fully resolved imbalances, revealing where liquidity inefficiencies concentrate and where price may seek rebalancing. Overlapping zones naturally expose institutional footprints, potential liquidity targets, and key re-pricing regions within the broader market structure. KEY FEATURES ⯌ Multi-Timeframe Detection Detect and display FVGs from the current chart, higher timeframes (HTF), or lower timeframes (LTF) ⯌ Smart Fill Tracking Automatic real-time monitoring of each FVG’s fill progress with live percentage updates ⯌ Custom Fill Logic Choose your preferred definition of when a gap is considered filled: Any Touch Midpoint Reached Wick Sweep Body Beyond ⯌ Dynamic Labels & Tooltips Labels can be toggled on/off. Even when hidden, detailed tooltips remain available by hovering over the FVG midpoint. ⯌ Adaptive Lower-Timeframe Mode When set to “Auto,” the script intelligently selects the optimal lower timeframe based on the chart resolution. DISCLAIMER This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
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của dgtrd
61
Market Structure ICT Screener [TradingFinder] BoS ChoCh🔵 Introduction Market Structure is the foundation of every Smart Money and ICT based trading model. It describes how price moves through a sequence of highs and lows, forming clear phases of expansion, retracement and reversal. Understanding this structure allows traders to read institutional order flow and align their positions with the true direction of liquidity. Two of the most critical components in Market Structure are the Break of Structure (BOS) and Change of Character (CHOCH). A BOS represents trend continuation, confirming strength within the current direction. In contrast, CHOCH also known as a Market Structure Shift (MSS) signals the first sign of a trend reversal or liquidity shift where order flow begins to change from bullish to bearish or vice versa. Because the market is fractal, structure can exist at multiple levels known as Major (External) and Minor (Internal). Major structure defines the overall trend on higher timeframes while minor or internal structure reveals short term swings and early reversals within that larger move. 🔵 How to Use Understanding Market Structure starts with identifying how price interacts with previous swing highs and swing lows. Every trend in the market, whether bullish or bearish, is built from a sequence of impulsive and corrective moves. Impulsive legs show strong displacement in the direction of liquidity flow, while corrective legs represent temporary pullbacks as the market rebalances before the next expansion. Recognizing these sequences is essential for reading the story of price and anticipating what may happen next. A Break of Structure (BOS) occurs when price decisively moves beyond a previous structural point by breaking above the last high in an uptrend or falling below the last low in a downtrend. This event confirms that the current trend remains intact and that liquidity has been successfully taken from one side of the market. A BOS acts as confirmation of continuation and reflects strength within the existing directional bias. A Change of Character (CHOCH) appears when price violates structure in the opposite direction of the prevailing trend. This is the first signal that market sentiment and order flow may be shifting. For example, during a downtrend if price breaks above a previous high, it indicates that sellers are losing control and a potential bullish reversal may be developing. In an uptrend, when price drops below a recent low, it suggests a possible bearish transition. Because the market is fractal, structure exists across multiple layers. Major structure reflects the dominant movement visible on higher timeframes and defines the broader directional bias. Minor or internal structure represents smaller swings within that move and helps identify early transitions before they appear on the higher timeframe. When internal and external structures align, they offer a high probability signal for trend continuation or reversal. By observing BOS and CHOCH across both internal and external structures, traders can clearly visualize when the market is expanding, contracting or preparing to shift direction. This structured understanding of price movement forms the foundation for precise trend analysis and high quality decision making in any Smart Money or ICT based trading approach. 🔵 Settings 🟣 Display Settings Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference. Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth. Table Mode : This setting offers two layout styles for the signal table : Basic : Mode displays symbols in a single column, using more vertical space. Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view. Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge. Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments. 🟣 Symbol Settings Each of the 20 symbol slots comes with a full set of customizable parameters : Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.). Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D). Pivot Period : Set the length used to detect swing highs and lows. Shorter values increase sensitivity, longer ones focus on major structures. 🔵 Conclusion Mastering Market Structure and understanding the relationship between BOS and CHOCH allows traders to see the market with greater clarity and confidence. These two elements reveal how liquidity moves through different phases of expansion and retracement and how institutional order flow shifts between accumulation and distribution. By analyzing both internal and external structures, traders can align short term and long term perspectives and anticipate where price is most likely to react. The ability to read these structural shifts helps identify continuation points, reversals and areas where liquidity is engineered or collected. Incorporating Market Structure into a consistent trading process transforms the way a trader views the chart. Instead of reacting to random movements, each swing, break and shift becomes part of a logical framework that reflects the true behavior of the market. Understanding BOS and CHOCH is not just a concept but a complete language of price that guides every professional decision in Smart Money and ICT based trading.
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của TradingFinder
8
Market Structure Report Library [TradingFinder]🔵 Introduction Market Structure is one of the most fundamental concepts in Price Action and Smart Money theory. In simple terms, it represents how price moves between highs and lows and reveals which phase of the market cycle we are currently in uptrend, downtrend, or transition. Each structure in the market is formed by a combination of Breaks of Structure (BoS) and Changes of Character (CHoCH) : BoS occurs when the market breaks a previous high or low, confirming the continuation of the current trend. CHoCH occurs when price breaks in the opposite direction for the first time, signaling a potential trend reversal. Since price movement is inherently fractal, market structure can be analyzed on two distinct levels : Major / External Structure: represents the dominant macro trend. Minor / Internal Structure: represents corrective or smaller-scale movements within the larger trend. 🔵 Library Purpose The “Market Structure Report Library” is designed to automatically detect the current market structure type in real time. Without drawing or displaying any visuals, it analyzes raw price data and returns a series of logical and textual outputs (Return Values) that describe the current structural state of the market. It provides the following information : Trend Type : External Trend (Major): Up Trend, Down Trend, No Trend Internal Trend (Minor): Up Trend, Down Trend, No Trend Structure Type : BoS : Confirms trend continuation CHoCH : Indicates a potential trend reversal Consecutive BoS Counter : Measures trend strength on both Major and Minor levels. Candle Type : Returns the current candle’s condition(Bullish, Bearish, Doji) This library is specifically designed for use in Smart Money–based screeners, indicators, and algorithmic strategies. It can analyze multiple symbols and timeframes simultaneously and return the exact structure type (BoS or CHoCH) and trend direction for each. 🔵 Function Outputs The function MS() processes the price data and returns seven key outputs, each representing a distinct structural state of the market. These values can be used in indicators, strategies, or multi-symbol screeners. 🟣 ExternalTrend Type : string Description : Represents the direction of the Major (External) market structure. Possible values : Up Trend Down Trend No Trend This is determined based on the behavior of Major Pivots (swing highs/lows). 🟣 InternalTrend Type : string Description : Represents the direction of the Minor (Internal) market structure. Possible values : Up Trend Down Trend No Trend 🟣 M_State Type : string Description : Specifies the type of the latest Major Structure event. Possible values : BoS CHoCH 🟣 m_State Type : string Description : Specifies the type of the latest Minor Structure event. Possible values : BoS CHoCH 🟣 MBoS_Counter Type : integer Description : Counts the number of consecutive structural breaks (BoS) in the Major structure. Useful for evaluating trend strength : Increasing count: indicates trend continuation. Reset to zero: typically occurs after a CHoCH. 🟣 mBoS_Counter Type : integer Description : Counts the number of consecutive structural breaks in the Minor structure. Helps analyze the micro structure of the market on lower timeframes. Higher value : strong internal trend. Reset : indicates a minor pullback or reversal. 🟣 Candle_Type Type : string Description : Represents the type of the current candle. Possible values : Bullish Bearish Doji import TFlab/Market_Structure_Report_Library_TradingFinder/1 as MSS PP = input.int (5 , 'Market Structure Pivot Period' , group = 'Symbol 1' ) = MSS.MS(PP)
Thư viện
của TradingFinder
4
Ichimoku PourSamadi Signal [TradingFinder] KijunSen Magic Number🔵 Introduction The Ichimoku Kinko Hyo system is one of the most comprehensive market analysis tools ever created. Developed by Goichi Hosoda, a Japanese journalist in the 1930s, its purpose was to allow traders to recognize the balance between price, time, and momentum at a single glance. (In Japanese, Ichimoku literally means “one look.”) At the core of the system lie five key components: Tenkan-sen (Conversion Line), Kijun-sen (Baseline), Chikou Span (Lagging Line), and the two leading spans, Senkou Span A and Senkou Span B, which together form the well-known Kumo or cloud representing both temporal structure and equilibrium zones in the market. Although Ichimoku is commonly used to identify trends and support/resistance levels, a deeper layer of time philosophy exists within it. Ichimoku was not designed solely for price analysis but equally for time analysis. In the classical model, the numerical cycles 9, 26, 52 reflect the natural rhythm of the market originally based on the Tokyo Stock Exchange’s trading schedule in the 1930s. These values repeat across the system’s calculations, forming the foundation of Ichimoku’s time symmetry where price and time ultimately seek equilibrium. In recent years, modern analysts have explored new approaches to extract time-based turning points from Ichimoku’s structure. One such approach is the analysis of flat segments on the Kijun-sen and Senkou B lines. Whenever one of these lines remains flat for a period, it signals temporary balance between buyers and sellers; when the flat breaks, the market exits equilibrium and a new cycle begins. This indicator is built precisely upon that philosophy. Following the timing methodology introduced by M.A. Poursamadi, the focus shifts away from price signals and line crossovers toward identifying flat periods on Kijun-sen (period 52) as time anchors. From the first candle that changes the line’s slope, the tool begins a temporal count using a fixed sequence of key numbers: 5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90. Derived from both classical Ichimoku cycles and empirical testing, these numbers mark potential timing nodes where a market wave may end, a correction may begin, or a new leg may form. Thus, this method serves not merely as another Ichimoku tool but as a temporal metronome for market structure a way to visualize moments when the market is ready to change rhythm, often before candles reveal it. 🔵 How to Use The Kijun Timing BoX is built entirely on Ichimoku’s concept of time analysis. Its core idea is that within every flat segment of the Kijun-sen, the market enters a temporary balance between opposing forces. When that flat breaks, a new time cycle begins. From that first breakout candle, the indicator starts counting forward through the predefined time sequence(5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90). This counting framework creates a temporal map of market behavior, where each number represents an area where meaningful price fluctuations often occur. A “meaningful fluctuation” does not necessarily imply reversal or continuation; rather, it marks a moment when the market’s internal energy balance shifts, typically visible as noticeable reactions on lower timeframes. 🟣 Identifying the Anchor Point The first step is recognizing a valid flat zone on the Kijun-sen. When this line remains flat for several candles and then changes slope, the indicator marks that bar as the Anchor, initiating the time count. From that point onward, vertical gray lines appear at each interval in the key-number sequence, visualizing the time nodes ahead. 🟣 Reading the Timing Lines Each numbered line represents a timing node a temporal point where a change in price rhythm is statistically more likely to occur. At these nodes, the market may : Enter a consolidation or minor correction phase. Develop range-bound movement. Or simply alter the speed and intensity of its move. These behaviors do not imply a specific direction; they only highlight zones where time-based activity tends to cluster, giving traders a clearer view of cyclical rhythm. 🟣 Applying Time Analysis The indicator’s primary use is to observe temporal order, not to predict price direction. By tracking the distance between Anchors and the reactions that appear near major timing lines, traders can empirically identify each market’s characteristic rhythm—its own time DNA. For example, one asset may consistently show significant fluctuations around the 13- and 26-bar marks,while another might react closer to 9 or 52. Recognizing such patterns helps traders understand how long typical cycles last before new phases of volatility emerge. 🟣 Combining with Other Tools The indicator does not generate buy/sell signals on its own. Its best use is in combination with price- or structure-based methods, to see whether meaningful price reactions occur around the same timing nodes. In practice, it helps distinguish structured time-based fluctuations from random, noise-driven moves an insight often overlooked in conventional market analysis. 🔵 Settings 🟣 Logical Settings KijunSen Period : Defines the baseline period used for timing analysis. Default = 52. It is the main line for detecting flats and generating time anchors. Flat Event Filter : Controls how flat segments are validated before triggering a new timing event. All : Every flat triggers a new Timing Box. Automatic : Only flats longer than the historical average are used (recommended). Custom : User manually defines the minimum flat length via Custom Count. Update Timing Analysis BoX Per Event : If enabled, a new Timing Box is drawn each time a new flat event occurs. If disabled, the box completes its 90-bar window before refreshing. 🟣 Ichimoku Settings TenkanSen Period : Defines the period for the Conversion Line (Tenkan-sen). Default = 9. KijunSen Period : Sets the standard Ichimoku baseline (not the timing line). Default = 26. Span B Period : Defines the period for Senkou Span B, the slower cloud boundary. Default = 52. Shift Lines : Offsets cloud projection into the future. Default = 26. 🟣 Display Settings Users can show or hide all Ichimoku lines Tenkan-sen, Kijun-sen, Chikou Span, Span A, and Span B as well as the Ichimoku Cloud. They can also customize the color of each element to match personal chart preferences and improve visibility. 🔵 Conclusion This analytical approach transforms Ichimoku’s time philosophy into a visual and measurable framework. A flat Kijun-sen represents a moment of market equilibrium; when its slope shifts, a new temporal cycle begins. The purpose is not to forecast price direction but to highlight periods when meaningful fluctuations are more likely to develop. Through this perspective, traders can observe the hidden rhythm of market time and expand their analysis beyond price into a broader time-cycle dimension. Ultimately, the method revives Ichimoku’s original principle: the market can only be truly understood through the simultaneous harmony of price, time, and balance.
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của TradingFinder
5
Exhaustion Detector by exp3rtsThis advanced indicator is designed to spot buyer and seller exhaustion zones by combining candle structure, volume anomalies, momentum oscillators, and support/resistance context. Optimized for the 5-minute chart, it highlights potential turning points where momentum is likely fading. Multi-factor detection – Uses RSI, Stochastic, volume spikes, wick-to-body ratios, and ATR context to identify exhaustion. Smart filtering – Optional trend filter (EMA) and support/resistance proximity filter refine signals. Cooldown logic – Prevents repeated signals in rapid succession to reduce noise. Confidence scoring – Each exhaustion signal is graded for strength, so you can gauge conviction. Visual clarity – Clear arrows mark exhaustion signals, background zones highlight pressure areas, and debug labels show score breakdowns (toggleable). Use this tool to: Anticipate potential reversals before price turns Spot exhaustion at key support/resistance zones Add a contrarian signal filter to your trading system
Chỉ báo
của exp3rts
1
ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIntroduction The ICT Venom Model is one of the most advanced strategies in the ICT framework, designed for intraday trading on major US indices such as US100, US30, and US500. This model is rooted in liquidity theory, time and price dynamics, and institutional order flow. The Venom Model focuses on detecting Liquidity Sweeps, identifying Fair Value Gaps (FVG), and analyzing Market Structure Shifts (MSS). By combining these ICT core concepts, traders can filter false breakouts, capture sharp reversals, and align their entries with the real institutional liquidity flow during the New York Session. Key Highlights of ICT Venom Model : Intraday focus : Optimized for US indices (US100, US30, US500). Time element : Critical window is 08:00–09:30 AM (Venom Box). Liquidity sweep logic : Price grabs liquidity at 09:30 AM open. Confirmation tools : MSS, CISD, FVG, and Order Blocks. Dual setups : Works in both Bullish Venom and Bearish Venom conditions. At its core, the ICT Venom Strategy is a framework that explains how institutional players manipulate liquidity pools by engineering false breakouts around the initial range of the market. Between 08:00 and 09:30 AM New York time, a range called the “Venom Box” is formed. This range acts as a trap for retail traders, and once the 09:30 AM market open occurs, price usually sweeps either the high or the low of this box to collect stop-loss liquidity. After this liquidity grab, the market often reverses sharply, giving birth to a classic Bullish Venom Setup or Bearish Venom Setup The Venom Model (ICT Venom Trading Strategy) is not just a pattern recognition tool but a precise institutional trading model based on time, liquidity, and market structure. By understanding the Initial Balance Range, watching for Liquidity Sweeps, and entering trades from FVG zones or Order Blocks, traders can anticipate market reversals with high accuracy. This strategy is widely respected among ICT followers because it offers both risk management discipline and clear entry/exit conditions. In short, the Venom Model transforms liquidity manipulation into actionable trading opportunities. Bullish Setup : Bearish Setup : 🔵 How to Use The ICT Venom Model is applied by observing price behavior during the early hours of the New York session. The first step is to define the Initial Range, also called the Venom Box, which is formed between 08:00 and 09:30 AM EST. This range marks the high and low points where institutional traders often create traps for retail participants. Once the official market opens at 09:30 AM, price usually sweeps either the top or bottom of this box to collect liquidity. After this liquidity grab, the market tends to reverse in alignment with the true directional bias. To confirm the setup, traders look for signals such as a Market Structure Shift (MSS), Change in State of Delivery (CISD), or the appearance of a Fair Value Gap (FVG). These elements validate the reversal and provide precise levels for trade execution. 🟣 Bullish Setup In a Bullish Venom Setup, the market first sweeps the low of the Venom Box after 09:30 AM, triggering sell-side liquidity collection. This downward move is often sharp and deceptive, designed to stop out retail long positions and attract new sellers. Once liquidity is taken, the market typically shifts direction, forming an MSS or CISD that signals a reversal to the upside. Traders then wait for price to retrace into a Fair Value Gap or a demand-side Order Block created during the reversal leg. This retracement offers the ideal entry point for long positions. Stop-loss placement should be just below the liquidity sweep low, while profit targets are set at the Venom Box high and, if momentum continues, at higher session or daily highs. 🟣 Bearish Setup In a Bearish Venom Setup, the process is similar but reversed. After the Initial Range is defined, if price breaks above the Venom Box high following the 09:30 AM open, it signals a false breakout designed to collect buy-side liquidity. This move usually traps eager buyers and clears out stop-losses above the high. After the liquidity sweep, confirmation comes through an MSS or CISD pointing to a reversal downward. At this stage, traders anticipate a retracement into a Fair Value Gap or a supply-side Order Block formed during the reversal. Short entries are taken within this zone, with stop-loss positioned just above the liquidity sweep high. The logical profit targets include the Venom Box low and, in stronger bearish momentum, deeper session or daily lows. 🔵 Settings Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses. Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price. FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps. Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal. CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart. 🔵 Conclusion The ICT Venom Model is more than just a reversal setup; it is a complete intraday trading framework that blends liquidity theory, time precision, and market structure analysis. By focusing on the Initial Range between 08:00 and 09:30 AM New York time and observing how price reacts at the 09:30 AM open, traders can identify liquidity sweeps that reveal institutional intentions. Whether in a Bullish Venom Setup or a Bearish Venom Setup, the model allows for precise entries through Fair Value Gaps (FVGs) and Order Blocks, while maintaining clear risk management with well-defined stop-loss and target levels. Ultimately, the ICT Venom Model provides traders with a structured way to filter false moves and align their trades with institutional order flow. Its strength lies in transforming liquidity manipulation into actionable opportunities, giving intraday traders an edge in timing, accuracy, and consistency. For those who master its logic, the Venom Model becomes not only a strategy for entry and exit, but also a deeper framework for understanding how liquidity truly drives price in the New York session.
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của TradingFinder
19
Advanced Market Structure [OmegaTools]📌 Market Structure Advanced Market Structure is a next–generation indicator designed to decode price structure in real time by combining classical swing–based analysis with modern quantitative confirmation techniques. Built for traders who demand both precision and adaptability, it provides a robust multi–layered framework to identify structural shifts, trend continuations, and potential reversals across any asset class or timeframe. Unlike traditional structure indicators that rely solely on visual swing identification, Market Structure introduces an integrated methodology: pivot detection, Donchian trend modeling, statistical confirmation via Z–Score, and volume–based validation. Each element contributes to a comprehensive, systematic representation of the underlying market dynamics. 🔑 Core Features 1. Five Distinct Market Structure Modes Standard Mode: Captures structural breaks through classical swing high/low pivots. Ideal for discretionary traders looking for clarity in directional bias. Confirmed Breakout Mode: Requires validation beyond the initial pivot break, filtering out noise and reducing false positives. Donchian Trend HL (High/Low): Establishes structure based on absolute highs and lows over rolling lookback windows. This approach highlights broader momentum shifts and trend–defining extremes. Donchian Trend CC (Close/Close): Similar to HL mode, but calculated using closing prices, enabling more precise bias identification where close–to–close structure carries stronger statistical weight. Average Mode: A composite methodology that synthesizes the four models into a weighted signal, producing a balanced structural bias designed to minimize model–specific weaknesses. 2. Dynamic Pivot Recognition with Auto–Updating Levels Swing highs and lows are automatically detected and plotted with adaptive horizontal levels. These dynamic support/resistance markers continuously extend into the future, ensuring that historically significant levels remain visible and actionable. 3. Color–Adaptive Candlesticks Price bars are dynamically recolored to reflect the prevailing structural regime: bullish (default blue), bearish (default red), or neutral (gray). This enables instant visual recognition of regime changes without requiring external confirmation. 4. Statistical Reversal Triggers The script integrates a 21–period Z–Score calculation applied to closing prices, combined with multi–layered volume confirmation (SMA and EMA convergence). Bullish trigger: Z–Score < –2 with structural confirmation and volume support. Bearish trigger: Z–Score > +2 with structural confirmation and volume support. Signals are plotted as diamond markers above or below the bars, identifying potential high–probability reversal setups in real time. 5. Integrated Alpha Backtesting Engine Each market structure mode is evaluated through a built–in backtesting routine, tracking hit ratios and consistency across the most recent ~2000 structural events. Performance metrics (“Alpha”) are displayed directly on–chart via a dedicated Performance Dashboard Table, allowing side–by–side comparison of Standard, Confirmed Breakout, Donchian HL, Donchian CC, and Average models. Traders can instantly evaluate which structural methodology best adapts to the current market conditions. 🎯 Practical Advantages Systematic Clarity: Eliminates subjectivity in defining structural bias, offering a rules–based framework. Statistical Transparency: Built–in performance metrics validate each mode in real time, allowing informed decision–making. Noise Reduction: Confirmed Breakouts and Donchian modes filter out common traps in structural trading. Multi–Asset Adaptability: Optimized for scalping, intraday, swing, and multi–day strategies across FX, equities, futures, commodities, and crypto. Complementary Usage: Works as a stand–alone structure identifier or as a quantitative filter in larger algorithmic/trading frameworks. ⚙️ Ideal Users Discretionary traders seeking an objective reference for structural bias. Quantitative/systematic traders requiring on–chart statistical validation of structural regimes. Technical analysts leveraging pivots, Donchian channels, and price action as part of broader frameworks. Portfolio traders integrating structure into multi–factor models. 💡 Why This Tool? Market Structure is not a static indicator — it is an adaptive framework. By merging classical pivot theory with Donchian–style momentum analysis, and reinforcing both with statistical backtesting and volume confirmation, it provides traders with a unique ability: To see the structure, To measure its reliability, And to act with confidence on quantifiably validated signals.
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của OmegaTools
9
Morning Peak FadeMorning Peak Fade is an intraday analysis tool that identifies and measures the probability of early session rallies turning into sharp pullbacks. 📊 Core Idea • Many stocks surge after the open, reaching an intraday peak before fading lower. • This script anchors at the first significant morning high and tracks the drawdowns that follow within a customizable time window. • It provides: • Probability of a fade after the peak • Average and maximum drawdown statistics • Event-day hit rate (how often such setups occur) 🎯 Use Cases • Spot potential “fade setups” where early enthusiasm exhausts quickly. • Quantify how often chasing the morning high turns into a losing trade. • Backtest opening range failure or fade strategies with hard data. ⚙️ Features • Customizable thresholds for the initial surge (relative to prior close). • Marks the peak (max) and subsequent low (min) used in calculations. • Draws a reference line at the surge threshold to visualize when the fade triggers. • Outputs summary stats directly on the chart.
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của Zach_Li
1
Take Profit CalculatorRelease Notes: Take Profit Calculator v1.0 Introduction Introducing the Real-Time Take Profit Calculator, a dynamic tool for TradingView designed to instantly calculate and display your target exit price. This indicator eliminates the need for manual calculations, allowing scalpers and day traders to see their profit targets directly on the chart as the market moves. Key Features Dynamic Target Calculation: The take-profit line is not static. It recalculates on every tick, moving with the current price to show you the exact target based on a real-time entry point. Full Trade Customization: Margin: Set the amount of capital (in USDT) you are allocating to the trade. Leverage: Input your desired leverage to accurately calculate the total position size. Desired Profit: Specify your target profit in USDT, and the indicator will calculate the corresponding price level. Long & Short Support: Easily switch between "Long" and "Short" trade directions. The indicator will adjust the calculation and the visual style accordingly. Customizable Display: Change the color and width of the take-profit line for both long and short scenarios. Toggle a price label on or off for a cleaner chart view. How to Use Add to Chart: Apply the "Take Profit Calculator" indicator to your chart. Open Settings: Double-click the indicator name or the line itself to open the settings panel. Enter Your Parameters: Under "Trade Parameters," fill in your Margin, Leverage, and Desired Profit. Select Direction: Choose either "Long" or "Short" from the Trade Direction dropdown. Analyze: The horizontal line on your chart now represents the exact price you need to reach
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của dancing_god
Advanced Trading System - [WOLONG X DBG]Advanced Multi-Timeframe Trading System Overview This technical analysis indicator combines multiple established methodologies to provide traders with market insights across various timeframes. The system integrates SuperTrend analysis, moving average clouds, MACD-based candle coloring, RSI analysis, and multi-timeframe trend detection to suggest potential entry and exit opportunities for both swing and day trading approaches. Methodology The indicator employs a multi-layered analytical approach based on established technical analysis principles: Core Signal Generation SuperTrend Engine: Utilizes adaptive SuperTrend calculations with customizable sensitivity (1-20) combined with SMA confirmation filters to identify potential trend changes and continuations Braid Filter System: Implements moving average filtering using multiple MA types (McGinley Dynamic, EMA, DEMA, TEMA, Hull, Jurik, FRAMA) with percentage-based strength filtering to help reduce false signals Multi-Timeframe Analysis: Analyzes trend conditions across 10 different timeframes (1-minute to Daily) using EMA-based trend detection for broader market context Advanced Features MACD Candle Coloring: Applies dynamic 4-level candle coloring system based on MACD histogram momentum and signal line relationships for visual trend strength assessment RSI Analysis: Identifies potential reversal areas using RSI oversold/overbought conditions with SuperTrend confirmation Take Profit Analysis: Features dual-mode TP detection using statistical slope analysis and Parabolic SAR integration for exit timing analysis Key Components Signal Types Primary Signals: Green ▲ for potential long entries, Red ▼ for potential short entries with trend and SMA alignment Reversal Signals: Small circular indicators for RSI-based counter-trend possibilities Take Profit Markers: X-cross symbols indicating statistical TP analysis zones Pullback Signals: Purple arrows for potential trend continuation entries using Parabolic SAR Visual Elements 8-Layer MA Cloud: Customizable moving average cloud system with 3 color themes for trend visualization Real-Time Dashboard: Multi-timeframe trend analysis table showing bullish/bearish status across all timeframes Dynamic Candle Colors: 4-intensity MACD-based coloring system (ranging from light to strong trend colors) Entry/SL/TP Labels: Automatic calculation and display of suggested entry points, stop losses, and multiple take profit levels Usage Instructions Basic Configuration Sensitivity Setting: Start with default value 6 Increase (7-15) for more frequent signals in volatile markets Decrease (3-5) for higher quality signals in trending markets MA Filter Type: McGinley Dynamic recommended for smoother signals Filter Strength: Set to 80% for balanced filtering, adjust based on market conditions Signal Interpretation Long Entry: Green ▲ suggests when price crosses above SuperTrend with bullish SMA alignment Short Entry: Red ▼ suggests when price crosses below SuperTrend with bearish SMA alignment Reversal Opportunities: Small circles indicate RSI-based counter-trend analysis Take Profit Zones: X-crosses mark statistical TP areas based on slope analysis Dashboard Analysis Green Cells: Bullish trend detected on that timeframe Red Cells: Bearish trend detected on that timeframe Multi-Timeframe Confluence: Look for alignment across multiple timeframes for stronger signal confirmation Risk Management Features Automatic Calculations ATR-Based Stop Loss: Dynamic stop loss calculation using ATR multiplier (default 1.9x) Multiple Take Profit Levels: Three TP targets with 1:1, 1:2, and 1:3 risk-reward ratios Position Sizing Guidance: Entry labels display suggested price levels for order placement Confirmation Requirements Trend Alignment: Requires SuperTrend and SMA confirmation before signal generation Filter Validation: Braid filter must show sufficient strength before signals activate Multi-Timeframe Context: Dashboard provides broader market context for decision making Optimal Settings Timeframe Recommendations Scalping: 1M-5M charts with sensitivity 8-12 Day Trading: 15M-1H charts with sensitivity 6-8 Swing Trading: 4H-Daily charts with sensitivity 4-6 Market Conditions Trending Markets: Reduce sensitivity, increase filter strength Ranging Markets: Increase sensitivity, enable reversal signals High Volatility: Adjust ATR risk factor to 2.0-2.5 Advanced Features Customization Options MA Cloud Periods: 8 customizable periods for cloud layers (default: 2,6,11,18,21,24,28,34) Color Themes: Three professional color schemes plus transparent option Dashboard Position: 9 positioning options with 4 size settings Signal Filtering: Individual toggle controls for each signal type Technical Specifications Moving Average Types: 21 different MA calculations including advanced types (Jurik, FRAMA, VIDA, CMA) Pullback Detection: Parabolic SAR with customizable start, increment, and maximum values Statistical Analysis: Linear regression slope calculation for trend-based TP analysis Important Limitations Lagging Nature: Some signals may appear after potential entry points due to confirmation requirements Ranging Markets: May produce false signals during extended sideways price action High Volatility: Requires parameter adjustment during news events or unusual market conditions Computational Load: Multiple timeframe analysis may impact performance on slower devices No Guarantee: All signals are suggestions based on technical analysis and may be incorrect Educational Disclaimers This indicator is designed for educational and analytical purposes only. It represents a technical analysis tool based on mathematical calculations of historical price data and should not be considered as financial advice or trading recommendations. Risk Warning: Trading involves substantial risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. The high degree of leverage can work against you as well as for you. Important Notes: Always conduct your own analysis before making trading decisions Use appropriate position sizing and risk management strategies Never risk more than you can afford to lose Consider your investment objectives, experience level, and risk tolerance Seek advice from qualified financial professionals when needed Performance Disclaimer: Backtesting results do not guarantee future performance. Market conditions change constantly, and what worked in the past may not work in the future. Always paper trade new strategies before risking real capital.
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của ionmarpie
8
Apex Edge – Wolfe Wave HunterApex Edge – Wolfe Wave Hunter The modern Wolfe Wave, rebuilt for the algo era This isn’t just another Wolfe Wave indicator. Classic Wolfe detection is rigid, outdated, and rarely tradable. Apex Edge – Wolfe Wave Hunter re-engineers the pattern into a modern, SMC-driven model that adapts to today’s liquidity-dominated markets. It’s not about drawing pretty shapes – it’s about extracting precision entries with asymmetric risk-to-reward potential. 🔎 What it does Automatic Wolfe Wave Detection Identifies bullish and bearish Wolfe Wave structures using pivot-based logic, symmetry filters, and slope tolerances. Channel Glow Zones Highlights the Wolfe channel and projects it forward into the future (bars are user-defined). This allows you to see the full potential of the trade before price even begins its move. Stop Loss (SL) & Entry Arrow At the completion of Wave 5, the algo prints a Stop Loss line and a tiny entry arrow (green for bullish, red for bearish). but the colours can be changed in user settings. This is the “execution point” — where the Wolfe setup becomes tradable. Target Projection Lines TP1 (EPA): Derived from the traditional 1–4 line projection. TP2 (1.272 Fib): Optional secondary profit target. TP3 (1.618 Fib): Optional extended target for large runners. All TP lines extend into the future, so you can track them as price evolves. Volume Confirmation (optional) A relative volume filter ensures Wave 5 is formed with meaningful market participation before a setup is confirmed. Alerts (ready out of the box) Custom alerts can be fired whenever a bullish or bearish Wolfe Wave is confirmed. No need to babysit the charts — let the script notify you. ⚙️ Customisation & User Control Every trader’s market and style is different. That’s why Wolfe Wave Hunter is fully customisable: Arrow Colours & Size Works on both light and dark charts. Choose your own bullish/bearish entry arrow colours for maximum visibility. Tolerance Levels Adjust symmetry and slope tolerance to refine how strict the channel rules are. Tighter settings = fewer but cleaner zones. Looser settings = more frequent setups, but with slightly lower structural quality. Channel Glow Projection Define how many bars forward the channel is drawn. This controls how far into the future your Wolfe zones are extended. Stop Loss Line Length Keep the SL visible without it extending infinitely across your chart. Take Profit Line Colors Each TP projection can be styled to your preference, allowing you to clearly separate TP1, TP2, and TP3. This isn’t a one-size-fits-all tool. You can shape Wolfe detection logic to match the pairs, timeframes, and market conditions you trade most. 🚀 Why it’s different Classic Wolfe waves are rare — this script adapts the model into something practical and tradeable in modern markets. Liquidity-aligned — many setups align with structural sweeps of Wave 3 liquidity before driving into profit. Entry built-in — most Wolfe scripts only draw the structure. Wolfe Wave Hunter gives you a precise entry point, SL, and projected TPs. Backtest-friendly — you’ll quickly discover which assets respect Wolfe waves and which don’t, creating your own high-probability Wolfe watchlist. ⚠️ Limitations & Disclaimer Not all markets respect Wolfe Waves. Some FX pairs, metals, and indices respect the structure beautifully; others do not. Backtest and create your own shortlist. No guaranteed sweeps. Many entries occur after a liquidity sweep of Wave 3, but not all. The algo is designed to detect Wolfe completion, not enforce textbook liquidity rules. Probabilistic, not predictive. Wolfe setups don’t win every time. Always use risk management. High-RR focus. This is not a high-frequency tool. It’s designed for precision, asymmetric setups where risk is small and reward potential is large. ✅ The Bottom Line Apex Edge – Wolfe Wave Hunter is a modern reimagination of the Wolfe Wave. It blends structural geometry, liquidity dynamics, and algo-driven execution into a single tool that: Detects the pattern automatically Provides SL, entry, and TP levels Offers alerts for hands-off trading Allows deep customisation for different markets When it hits, it delivers outstanding risk-to-reward. Backtest, refine your tolerances, and build your watchlist of assets where Wolfe structures consistently pay. This isn’t just Wolfe detection — it’s Wolfe trading, rebuilt for the modern trader. Developer Notes - As always with the Apex Edge Brand, user feedback and recommendations will always be respected. Simply drop us a message with your comments and we will endeavour to address your needs in future version updates.
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của ApexEdge
3
LSMAsThis indicator calculates and plots two Least Squares Moving Averages (LSMA) based on different lengths and a Smoothed Moving Average (SMMA) of the longer LSMA. Inputs lengthA : Period length for the first, longer LSMA. lengthB : Period length for the second, shorter LSMA. signAl : Signal period used in SMMA smoothing. Calculations LSMA-A and LSMA-B : Calculates the linear regression (least squares) of source over lengthA and lengthB respectively, with no offset. These represent two LSMAs, one slow and one fast. SMMA : This is a smoothed moving average of the longer LSMA (LSMA-A). Purpose This indicator helps traders identify trend directions and momentum by using two least squares regression lines of different lengths to capture short- and long-term trends in price. The SMMA smoothing of the longer LSMA may be used as a signal or confirmation line to reduce noise and produce smoother signals. It generates buy and sell signals based on the intersection of the LSMA-A and SMMA. If the LSMA-A crosses the SMMA upwards, a BUY signal is generated; if it crosses the SMMA downwards, a SELL signal is generated. The LSMA-B, which is short-term, can be used for wave analysis. When a peak forms, a high is observed on the chart, and when a valley forms, a low is observed. This allows us to determine whether the wave is rising or falling. Summary Two LSMAs are calculated: one slow (lengthA), one fast (lengthB). A smoothed moving average (SMMA) of the slow LSMA is computed using the signal length (signAl). All three curves are overlaid on the price chart for visual trend and momentum analysis.
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của oberez
Smoothed Basis Overview and Purpose The script calculates a smoothed mid-range basis between the highest and lowest prices over a specified period, then applies a smoothing function (smoothed moving average) to show the trend direction or momentum in a less noisy way. The area between the basis and its smoothed value is color-filled to visually highlight when the basis is above or below the smoothed average, signaling potentially bullish or bearish momentum. Indicator Setup length = Period length for calculating the highest and lowest values. signal = Smoothing period used to smooth the basis. offset =Optional horizontal shift to the plots (default 0). Core Calculations lower = Finds the lowest low over the past length bars. upper = Finds the highest high over the past length bars. basis = Calculates the midpoint between the highest and lowest. Smoothing Calculation (Smoothed Moving Average - SMMA) Declares smma as 0.0 initially. If the previous smma value is not available (like on the first bar), initializes with a simple moving average of basis over signal bars. Else applies formula which gives a smoother version of basis which reacts less to sudden changes. Plotting and Color Fill Plots the raw basis line and smoothed basis line . Fills the area between the basis and smoothed basis lines: Greenish fill if the basis is above the smoothed value (potentially bullish). Reddish fill if the basis is below the smoothed value (potentially bearish). Interpretation and Use The indicator visually shows where price ranges are shifting by tracking the midpoint between recent highs and lows. The smoothed basis serves as a trend or momentum filter by dampening noise in the basis line. When the basis is above the smoothed line (green fill), it signals upward momentum or strength; below it (red fill) suggests downward momentum or weakness. The length and signal parameters allow tuning for different timeframes or asset volatility. In summary, this code creates a custom smoothed oscillator based on the midpoint range of price extremes, highlighting trend changes via color fills and smoothening price action noise with an SMMA.
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của oberez