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Bitcoin Expectile Model [LuxAlgo]The Bitcoin Expectile Model is a novel approach to forecasting Bitcoin, inspired by the popular Bitcoin Quantile Model by PlanC. By fitting multiple Expectile regressions to the price, we highlight zones of corrections or accumulations throughout the Bitcoin price evolution. While we strongly recommend using this model with the Bitcoin All Time History Index INDEX:BTCUSD on the 3 days or weekly timeframe using a logarithmic scale, this model can be applied to any asset using the daily timeframe or superior. Please note that here on TradingView, this model was solely designed to be used on the Bitcoin 1W chart, however, it can be experimented on other assets or timeframes if of interest. 🔶 USAGE The Bitcoin Expectile Model can be applied similarly to models used for Bitcoin, highlighting lower areas of possible accumulation (support) and higher areas that allow for the anticipation of potential corrections (resistance). By default, this model fits 7 individual Expectiles Log-Log Regressions to the price, each with their respective expectile ( tau ) values (here multiplied by 100 for the user's convenience). Higher tau values will return a fit closer to the higher highs made by the price of the asset, while lower ones will return fits closer to the lower prices observed over time. Each zone is color-coded and has a specific interpretation. The green zone is a buy zone for long-term investing, purple is an anomaly zone for market bottoms that over-extend, while red is considered the distribution zone. The fits can be extrapolated, helping to chart a course for the possible evolution of Bitcoin prices. Users can select the end of the forecast as a date using the "Forecast End" setting. While the model is made for Bitcoin using a log scale, other assets showing a tendency to have a trend evolving in a single direction can be used. See the chart above on QQQ weekly using a linear scale as an example. The Start Date can also allow fitting the model more locally, rather than over a large range of prices. This can be useful to identify potential shorter-term support/resistance areas. 🔶 DETAILS 🔹 On Quantile and Expectile Regressions Quantile and Expectile regressions are similar; both return extremities that can be used to locate and predict prices where tops/bottoms could be more likely to occur. The main difference lies in what we are trying to minimize, which, for Quantile regression, is commonly known as Quantile loss (or pinball loss), and for Expectile regression, simply Expectile loss. You may refer to external material to go more in-depth about these loss functions; however, while they are similar and involve weighting specific prices more than others relative to our parameter tau, Quantile regression involves minimizing a weighted mean absolute error, while Expectile regression minimizes a weighted squared error. The squared error here allows us to compute Expectile regression more easily compared to Quantile regression, using Iteratively reweighted least squares. For Quantile regression, a more elaborate method is needed. In terms of comparison, Quantile regression is more robust, and easier to interpret, with quantiles being related to specific probabilities involving the underlying cumulative distribution function of the dataset; on the other expectiles are harder to interpret. 🔹 Trimming & Alterations It is common to observe certain models ignoring very early Bitcoin price ranges. By default, we start our fit at the date 2010-07-16 to align with existing models. By default, the model uses the number of time units (days, weeks...etc) elapsed since the beginning of history + 1 (to avoid NaN with log) as independent variable, however the Bitcoin All Time History Index INDEX:BTCUSD do not include the genesis block, as such users can correct for this by enabling the "Correct for Genesis block" setting, which will add the amount of missed bars from the Genesis block to the start oh the chart history. 🔶 SETTINGS Start Date: Starting interval of the dataset used for the fit. Correct for genesis block: When enabled, offset the X axis by the number of bars between the Bitcoin genesis block time and the chart starting time. 🔹 Expectiles Toggle: Enable fit for the specified expectile. Disabling one fit will make the script faster to compute. Expectile: Expectile (tau) value multiplied by 100 used for the fit. Higher values will produce fits that are located near price tops. 🔹 Forecast Forecast End: Time at which the forecast stops. 🔹 Model Fit Iterations Number: Number of iterations performed during the reweighted least squares process, with lower values leading to less accurate fits, while higher values will take more time to compute.
Pine Script® indicator
by LuxAlgo
3
Information-Geometric Market DynamicsInformation-Geometric Market Dynamics The Information Field: A Geometric Approach to Market Dynamics By: DskyzInvestments Foreword: Beyond the Shadows on the Wall If you have traded for any length of time, you know " the feeling ." It is the frustration of a perfect setup that fails, the whipsaw that stops you out just before the real move, the nagging sense that the chart is telling you only half the story. For decades, technical analysis has relied on interpreting the shadows—the patterns left behind by price. We draw lines on these shadows, apply indicators to them, and hope they reveal the future. But what if we could stop looking at the shadows and, instead, analyze the object casting them? This script introduces a new paradigm for market analysis: Information-Geometric Market Dynamics (IGMD) . The core premise of IGMD is that the price chart is merely a one-dimensional projection of a much richer, higher-dimensional reality—an " information field " generated by the collective actions and beliefs of all market participants. This is not just another collection of indicators. It is a unified framework for measuring the geometry of the market's information field—its memory, its complexity, its uncertainty, its causal flows—and making high-probability decisions based on that deeper reality. By fusing advanced mathematical and informational concepts, IGMD provides a multi-faceted lens through which to view market behavior, moving beyond simple price action into the very structure of market information itself. Prepare to move beyond the flatland of the price chart. Welcome to the information field. The IGMD Framework: A Multi-Kernel Approach What is a Kernel? The Heart of Transformation In mathematics and data science, a kernel is a powerful and elegant concept. At its core, a kernel is a function that takes complex, often inscrutable data and transforms it into a more useful format. Think of it as a specialized lens or a mathematical "probe." You cannot directly measure abstract concepts like "market memory" or "trend quality" by looking at a price number. First, you must process the raw price data through a specific mathematical machine—a kernel—that is designed to output a measurement of that specific property. Kernels operate by performing a sort of "similarity test," projecting data into a higher-dimensional space where hidden patterns and relationships become visible and measurable. Why do creators use them? We use kernels to extract features —meaningful pieces of information—that are not explicitly present in the raw data. They are the essential tools for moving beyond surface-level analysis into the very DNA of market behavior. A simple moving average can tell you the average price; a suite of well-chosen kernels can tell you about the character of the price action itself. The Alchemist's Challenge: The Art of Fusion Using a single kernel is a challenge. Using five distinct, computationally demanding mathematical engines in unison is an immense undertaking. The true difficulty—and artistry—lies not just in using one kernel, but in fusing the outputs of many . Each kernel provides a different perspective, and they can often give conflicting signals. One kernel might detect a strong trend, while another signals rising chaos and uncertainty. The IGMD script's greatest strength is its ability to act as this alchemist, synthesizing these disparate viewpoints through a weighted fusion process to produce a single, coherent picture of the market's state. It required countless hours of testing and calibration to balance the influence of these five distinct analytical engines so they work in harmony rather than cacophony. The Five Kernels of Market Dynamics The IGMD script is built upon a foundation of five distinct kernels, each chosen to probe a unique and critical dimension of the market's information field. 1. The Wavelet Kernel (The "Microscope") What it is: The Wavelet Kernel is a signal processing function designed to decompose a signal into different frequency scales. Unlike a Fourier Transform that analyzes the entire signal at once, the wavelet slides across the data, providing information about both what frequencies are present and when they occurred. The Kernels I Use: Haar Kernel: The simplest wavelet, a square-wave shape defined by the coefficients . It excels at detecting sharp, sudden changes. Daubechies 2 (db2) Kernel: A more complex and smoother wavelet shape that provides a better balance for analyzing the nuanced ebb and flow of typical market trends. How it Works in the Script: This kernel is applied iteratively. It first separates the finest "noise" (detail d1) from the first level of trend (approximation a1). It then takes the trend a1 and repeats the process, extracting the next level of cycle (d2) and trend (a2), and so on. This hierarchical decomposition allows us to separate short-term noise from the long-term market "thesis." 2. The Hurst Exponent Kernel (The "Memory Gauge") What it is: The Hurst Exponent is derived from a statistical analysis kernel that measures the "long-term memory" or persistence of a time series. It is the definitive measure of whether a series is trending (H > 0.5), mean-reverting (H < 0.5), or random (H = 0.5). How it Works in the Script: The script employs a method based on Rescaled Range (R/S) analysis. It calculates the average range of price movements over increasingly larger time lags (m1, m2, m4, m8...). The slope of the line plotting log(range) vs. log(lag) is the Hurst Exponent. Applying this complex statistical analysis not to the raw price, but to the clean, wavelet-decomposed trend lines, is a key innovation of IGMD. 3. The Fractal Dimension Kernel (The "Complexity Compass") What it is: This kernel measures the geometric complexity or "jaggedness" of a price path, based on the principles of fractal geometry. A straight line has a dimension of 1; a chaotic, space-filling line approaches a dimension of 2. How it Works in the Script: We use a version based on Ehlers' Fractal Dimension Index (FDI). It calculates the rate of price change over a full lookback period (N3) and compares it to the sum of the rates of change over the two halves of that period (N1 + N2). The formula d = (log(N1 + N2) - log(N3)) / log(2) quantifies how much "longer" and more convoluted the price path was than a simple straight line. This kernel is our primary filter for tradeable (low complexity) vs. untradeable (high complexity) conditions. 4. The Shannon Entropy Kernel (The "Uncertainty Meter") What it is: This kernel comes from Information Theory and provides the purest mathematical measure of information, surprise, or uncertainty within a system. It is not a measure of volatility; a market moving predictably up by 10 points every bar has high volatility but zero entropy . How it Works in the Script: The script normalizes price returns by the ATR, categorizes them into a discrete number of "bins" over a lookback window, and forms a probability distribution. The Shannon Entropy H = -Σ(p_i * log(p_i)) is calculated from this distribution. A low H means returns are predictable. A high H means returns are chaotic. This kernel is our ultimate gauge of market conviction. 5. The Transfer Entropy Kernel (The "Causality Probe") What it is: This is by far the most advanced and computationally intensive kernel in the script. Transfer Entropy is a non-parametric measure of directed information flow between two time series. It moves beyond correlation to ask: "Does knowing the past of Volume genuinely reduce our uncertainty about the future of Price?" How it Works in the Script: To make this work, the script discretizes both price returns and the chosen "driver" (e.g., OBV) into three states: "up," "down," or "neutral." It then builds complex conditional probability tables to measure the flow of information in both directions. The Net Transfer Entropy (TE Driver→Price minus TE Price→Driver) gives us a direct measure of causality . A positive score means the driver is leading price, confirming the validity of the move. This is a profound leap beyond traditional indicator analysis. Chapter 3: Fusion & Interpretation - The Field Score & Dashboard Each kernel is a specialist providing a piece of the puzzle. The Field Score is where they are fused into a single, comprehensive reading. It's a weighted sum of the normalized scores from all five kernels, producing a single number from -1 (maximum bearish information field) to +1 (maximum bullish information field). This is the ultimate "at-a-glance" metric for the market's net state, and it is interpreted through the dashboard. The Dashboard: Your Mission Control Field Score & Regime: The master metric and its plain-English interpretation ("Uptrend Field", "Downtrend Field", "Transitional"). Kernel Readouts (Wave Align, H(w), FDI, etc.): The live scores of each individual kernel. This allows you to see why the Field Score is what it is. A high Field Score with all components in agreement (all green or red) is a state of High Coherence and represents a high-quality setup. Market Context: Standard metrics like RSI and Volume for additional confluence. Signals: The raw and adjusted confluence counts and the final, calculated probability scores for potential long and short entries. Pattern: Shows the dominant candlestick pattern detected within the currently forming APEX range box and its calculated confidence percentage. Chapter 4: Mastering the Controls - The Inputs Menu Every parameter is a lever to fine-tune the IGMD engine. 📊 Wavelet Transform: Kernel ( Haar for sharp moves, db2 for smooth trends) and Scales (depth of analysis) let you tune the script's core microscope to your asset's personality. 📈 Hurst Exponent: The Window determines if you're assessing short-term or long-term market memory. 🔍 Fractal Dimension & ⚡ Entropy Volatility: Adjust the lookback windows to make these kernels more or less sensitive to recent price action. Always keep "Normalize by ATR" enabled for Entropy for consistent results. 🔄 Transfer Entropy: Driver lets you choose what causal force to measure (e.g., OBV, Volume, or even an external symbol like VIX). The throttle setting is a crucial performance tool, allowing you to balance precision with script speed. ⚡ Field Fusion • Weights: This is where you can customize the model's "brain." Increase the weights for the kernels that best align with your trading philosophy (e.g., w_hurst for trend followers, w_fdi for chop avoiders). 📊 Signal Engine: Mode offers presets from Conservative to Aggressive . Min Confluence sets your evidence threshold. Dynamic Confluence is a powerful feature that automatically adapts this threshold to the market regime. 🎨 Visuals & 📏 Support/Resistance: These inputs give you full control over the chart's appearance, allowing you to toggle every visual element for a setup that is as clean or as data-rich as you desire. Chapter 5: Reading the Battlefield - On-Chart Visuals Pattern Boxes (The Large Rectangles): These are not simple range boxes. They appear when the Field Score crosses a significance threshold, signaling a potential ignition point. Color: The color reflects the dominant candlestick pattern that has occurred within that box's duration (e.g., green for Bull Engulf). Label: Displays the dominant pattern, its duration in bars, and a calculated Confidence % based on field strength and pattern clarity. Bar Pattern Boxes (The Small Boxes): If enabled, these highlight individual, significant candlestick patterns ( BE for Bull Engulf, H for Hammer) on a bar-by-bar basis. Signal Markers (▲ and ▼): These appear only when the Signal Engine's criteria are all met. The number is the calculated Probability Score . RR Rails (Dashed Lines): When a signal appears, these lines automatically plot the Entry, Stop Loss (based on ATR), and two Take Profit targets (based on Risk/Reward ratios). They dynamically break and disappear as price touches each level. Support & Resistance Lines: Plots of the highest high ( Resistance ) and lowest low ( Support ) over a lookback, providing key structural levels. Chapter 6: Development Philosophy & A Final Word One single question: " What is the market really doing? " It represents a triumph of complexity, blending concepts from signal processing, chaos theory, and information theory into a cohesive framework. It is offered for educational and analytical purposes and does not constitute financial advice. Its goal is to elevate your analysis from interpreting flat shadows to measuring the rich, geometric reality of the market's information field. As the great mathematician Benoit Mandelbrot , father of fractal geometry, noted: "Clouds are not spheres, mountains are not cones, coastlines are not circles, and bark is not smooth, nor does lightning travel in a straight line." Neither does the market. IGMD is a tool designed to navigate that beautiful, complex, and fractal reality. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® indicator
by DskyzInvestments
3
Volume Rotor Clock [hapharmonic]🕰️ Volume Rotor Clock The Volume Rotor Clock is an indicator that separates buy and sell volume, compiling these volumes over a recent number of bars or a specified past period, as defined by the user. This helps to reveal accumulation (buying) or distribution (selling) behavior, showing which side has superior volume. With its unique and beautiful display, the Volume Rotor Clock is more than just a timepiece; it's a dynamic dashboard that visualizes the buying and selling pressure of your favorite symbols, all wrapped in an elegant and fully customizable interface. Instead of just tracking price, this indicator focuses on the engine behind the movement: volume. It helps you instantly identify which assets are under accumulation (buying) and which are under distribution (selling). --- 🎨 20 Pre-configured Templates --- 🧐 Interpreting the Clock Display The interface is designed to give you multiple layers of information at a glance. Let's break down what each part represents. 1. The Main Clock Hands (Current Chart Symbol) The clock hands—hour, minute, and second—are dedicated to the symbol on your current active chart . Minute Hand: Displays the base currency of the current symbol (e.g., USDT, USD) at its tip. Hour Hand: Displays the percentage of the winning volume side (buy vs. sell) at its tip. Color Gauge: The color of the text characters at the tip of both the hour and minute hands acts as your primary volume gauge for the current symbol. If buy volume is dominant , the text will be green . If sell volume is dominant , the text will be red . Tooltip: Hovering your mouse over the text at the tip of the hour or minute or other spherical elements hand will reveal a detailed tooltip with the precise Buy Volume, Sell Volume, Total Volume, Buy %, and Sell % for the current chart's symbol. 2. The Volume Scanner: Bulls & Bears (Symbols Inside the Clock) 🐂🐻 The circular symbols scattered inside the clock face are your multi-symbol volume scanner. They represent the assets you've selected in the indicator's settings. Green Circles (Bulls - Upper Half): These represent symbols from your list where the total buy volume is greater than the total sell volume over the defined "Lookback" period. They are considered to be under bullish accumulation. The size of the circle and its text grows larger as the buy percentage becomes more dominant. The percentage shown within the circle represents the buy volume's share of the total volume, calculated over the 'Lookback (Bars)' you've set. Red Circles (Bears - Lower Half): These represent symbols where the total sell volume is greater than the total buy volume. They are considered to be under bearish distribution or selling pressure. The size of the circle indicates the dominance of the sell-side volume. The percentage shown within the circle represents the sell volume's share of the total volume, calculated over the 'Lookback (Bars)' you've set. 3. The Bullish Watchlist (Symbols Above the Clock) ⭐ The symbols arranged neatly along the top edge of the clock are the "best of the bulls." They are symbols that are not only bullish but have also passed an additional, powerful strength filter. What it Means: A symbol appears here when it shows signs of sustained, high-volume buying interest . It's a way to filter out noise and focus on assets with potentially significant accumulation phases. The Filter Logic: For a bullish symbol (where total buy volume > total sell volume) to be promoted to the watchlist, its trading volume must meet specific criteria based on this formula: ta.barssince(not(volume > ta.sma(volume, X))) >= Y In plain English, this means: The indicator checks how many consecutive bars the `volume` has been greater than its `X`-bar Simple Moving Average (`ta.sma(volume, X)`). If this count is greater than or equal to `Y` bars, the condition is met. (You can configure `X` (Volume MA Length) and `Y` (Consecutive Days Above MA) in the settings.) Why it's Useful: This filter is powerful because it looks for consistency . A single spike in volume can be an anomaly. However, when an asset's volume remains consistently above its recent average for several consecutive days, it strongly suggests that larger players or a significant portion of the market are actively accumulating the asset. This sustained interest can often precede a significant upward price trend. --- ⚙️ Indicator Settings Explained The Volume Rotor Clock is highly customizable. Here’s a detailed walkthrough of every setting available in the "Inputs" tab. 🎨 Color Scheme This group allows you to control the entire aesthetic of the clock. Template: Choose from a wide variety of professionally designed color themes. Use Template: A simple checkbox to switch between using a pre-designed theme and creating your own. `Checked`: You can select a theme from the dropdown menu, which offers 20 unique templates like "Cyberpunk Neon" or "Forest Green". All custom color settings below will be disabled (grayed out and unclickable). `Unchecked`: The template dropdown is disabled, and you gain full control over every color element in the sections below. 🖌️ Custom Appearance & Colors These settings are only active when "Use Template" is unchecked. Flame Head / Tail: Sets the start and end colors for the dynamic flame effect that traces the clock's border, representing the second hand. Numbers / Main Numbers: Customize the color of the regular hour numbers (1, 2, 4, 5...) and the main cardinal numbers (3, 6, 9, 12). Sunburst Colors (1-6): Controls the six colors used in the gradient background for the "sunburst" effect inside the clock face. Hands & Digital: Fine-tune the colors for the Hour/Minute Hand, Second Hand, central Pivot point, and the digital time display. Chain Color / Width: Customize the appearance of the two chains holding the clock. 📡 Volume Scanner Control the behavior of the multi-symbol scanner. Show Scanner Labels: A master switch to show or hide all the bull/bear symbol circles inside the clock. Lookback (Bars): A crucial setting that defines the calculation period for buy/sell volume for all scanned symbols. The calculation is a sum over the specified number of recent bars. `0`: Calculates using the current bar only . `7`: Calculates the sum of volume over the last 8 bars (the current bar + 7 historical bars). Symbols List: Here you can enable/disable up to 20 slots and input the ticker for each symbol you want to scan (e.g., BINANCE:BTCUSDT , NASDAQ:AAPL ). ⭐ Bullish Watchlist Filter Configure the criteria for the elite watchlist symbols displayed above the clock. Enable Watchlist: A master switch to turn the entire watchlist feature on or off. Volume MA Length: Sets the lookback period `(X)` for the Simple Moving Average of volume used in the filter. Consecutive Days Above MA: Sets the minimum number of consecutive days `(Y)` that volume must close above its MA to qualify. Symbols Per Row: Determines the maximum number of watchlist symbols that can fit in a single row before a new row is created above it. Background / Text Color: When not using a template, you can set custom colors for the watchlist symbols' background and text. 📏 Position & Size Adjust the clock's placement and dimensions on your chart. Clock Timezone: Sets the timezone for the digital and analog time display. You can use standard formats like "America/New_York" or enter "Exchange" to sync with the chart's timezone. Radius (Bars): Controls the overall size of the clock. The radius is measured in terms of the number of bars on the x-axis. X Offset (Bars): Moves the entire clock horizontally. Positive values shift it to the right; negative values shift it to the left. Y Offset (Price %): Moves the entire clock vertically as a percentage of your screen's price pane. Positive values move it up; negative values move it down.
Pine Script® indicator
by hapharmonic
4
Trend line Projection by julzALGOOVERVIEW Trend Line Single draws two dynamic, forward-projecting trendlines from recent pivots: Wick Lines – from swing highs/lows of candle wicks. Body Lines – from swing highs/lows of candle bodies. Both auto-extend to the right and can optionally shade the zone between wick and body lines, making it easy to spot reaction areas and structure shifts. Includes automatic HH/LL/HL/LH pivot labeling. HOW TO USE Default Length = 8 works for most markets. Shorter Length → more reactive lines, more frequent signals. Longer Length → smoother structure, fewer but stronger signals. Watch for price retests or breaks of wick/body bands. Use shaded zones to quickly see where price is balancing between wick extremes and body closes. FEATURES Wick-based upper/lower trendlines from confirmed swing pivots. Body-based upper/lower trendlines from confirmed body pivots. Always-on right extension for forward projection. Optional fill between wick and body lines to visualize “pressure zones.” Automatic HH / LL / HL / LH labels for structure reading. Non-repainting beyond standard pivot confirmation. SETTINGS Length – Pivot lookback/forward bars (default 8). Wick Top / Bottom Color – Wick trendline colors. Body Top / Bottom Color – Body trendline colors. Fill Color – Transparency/color for the shaded zone. PRINCIPLES Wicks often mark liquidity grabs or extremes. Bodies reflect actual settlement – good for fair value and consolidation zones. Wick ≈ Body confluence can mark stronger S/R. Break + Retest of a line can signal continuation or reversal—always confirm with your own system. NOTES Lines only appear after pivots confirm. Works on all markets and timeframes. For low-TF noise reduction, increase Length. This tool is for discretionary analysis, not auto-trading. SUMMARY A lightweight, production-ready trendline tool that combines wick- and body-based structure, forward-projects them, optionally shades between them, and labels key pivots for instant structure reading. DISCLAIMER For educational purposes only. This is not financial advice. Trade at your own risk with proper management.
Pine Script® indicator
by julzALGO
Drone Arrows with Supply & Demand (v6)A guided decision-making tool. Here’s a conservative way to use it: For Long Trades (Buy) Check the Dashboard At least 4–5 timeframes green (uptrend) is ideal. Overall condition = “Strong Buy” preferred. Look for a Green BUY Signal Arrow Appears below the candle. Price should be above the MA if the trend filter is on. Ideally, volume is above threshold if volume filter is enabled. Check Supply/Demand Zones Avoid buying directly into a nearby supply zone overhead. Best if you’re entering near/within a demand zone. Confirm Market Structure Higher highs & higher lows in recent price action. Set Stop Loss & Targets Use the plotted SL (ATR-based) or place just below nearest demand zone. TP levels are plotted — aim for 1:2 or better reward-to-risk. For Short Trades (Sell) Check the Dashboard At least 4–5 timeframes red (downtrend) is ideal. Overall condition = “Strong Sell” preferred. Look for a Red SELL Signal Arrow Appears above the candle. Price should be below the MA if the trend filter is on. Ideally, volume is above threshold if volume filter is enabled. Check Supply/Demand Zones Avoid shorting into a nearby demand zone. Best if you’re entering near/within a supply zone. Confirm Market Structure Lower highs & lower lows in recent price action. Set Stop Loss & Targets Use plotted SL (ATR-based) or just above nearest supply zone. TP levels are plotted — aim for 1:2 or better reward-to-risk. Extra Tips Patience: This tool works best in trending markets. In choppy sideways ranges, expect more false signals. Higher Timeframe Confluence: Even if trading M5/M15, align with H1 or H4 direction for better probabilities. Zones as Dynamic S/R: The supply/demand boxes are great for trade entries/exits — watch how price reacts to them. Cool Down Helps: The cooldown prevents overtrading but you can adjust it if you want faster signals.
Pine Script® indicator
by mk3696
WaveTrend Dynamic (Lazy Bear Style)█ OVERVIEW The WaveTrend Dynamic indicator (in the style of Lazy Bear) is an advanced tool based on the Exponential Smoothing Average (ESA), which adapts to the volatility and price of a financial instrument. It is more flexible than the classic WaveTrend but shares a similar concept of bands around a main oscillator line. The indicator uses dynamic bands calculated as distances from the ESA, with their width adjustable via the "level" parameter. This allows it to be tailored to various markets, timeframes, and volatility conditions, making it easier to identify trends, reversal points, and buy/sell signals. █ CONCEPTS The WaveTrend Dynamic combines oscillator functions with trend analysis. Below, we explain the key components in a simple way, understandable even for beginner users. Core Calculations The indicator relies on the adaptive ESA and a few straightforward steps: 1 — ESA (Adaptive Average): Calculated as a smoothed average of the price (from high, low, and close, or HLC3) using the ESA Length parameter (default: 10). This number determines how many past candles are considered in the calculation. The ESA quickly responds to price changes, helping to track trends. 2 — Deviation (D): Measures how much the price deviates from the ESA, factoring in market volatility. This allows the indicator to adapt to different instruments. 3 — Price Distance Indicator (CI): Shows how far the price is from the ESA relative to market volatility. This forms the basis for the main indicator line, reacting to price movements. 4 — WT1 (WaveTrend 1): The main line, smoothing the Price Distance Indicator (CI) with the Average Length parameter (default: 21). It reflects the direction of price movement and momentum. 5 — WT2 (WaveTrend 2): A signal line that further smooths WT1 (with a period of 4). It helps confirm signals through crossovers with WT1. 6 — Bands (UpperBand and LowerBand): These form a dynamic channel around the ESA. Their width depends on the level parameter (default: 100). Wider bands result in fewer but more reliable signals. In the original WaveTrend, the oscillator bands use lower values, such as 50 or 60. To achieve classic oscillator signals (more frequent WT1/WT2 crossovers outside the bands), set the level to 50–60. Trend Identification The indicator identifies two types of trends: • Major Trend: Determined by the position of WT1 relative to the ESA. When WT1 is above the ESA, it indicates a bullish trend. When below, it signals a bearish trend. Line and fill colors reflect this trend. • Mini-Trend: Based on WT1 and WT2 crossovers. When the lines cross, they change to the same color, signaling short-term changes or reversal points. This is ideal for quick trading decisions. Visuals and Effects • WT1 and WT2 Lines: Scaled to price and displayed on the price chart for easier analysis. • Fills: Between the bands (UpperBand/LowerBand) and between WT1/WT2, with a "wave" effect that adjusts transparency based on the trend (green for bullish, red for bearish). • Signals: Three types—return-to-band, WT1/WT2 crossovers outside the bands, and crossovers inside the bands. Signals are displayed as triangles with different colors for buy and sell. █ FEATURES Detailed features of the indicator, aligned with the order of settings in the script: • Basic Parameters: ESA Length — controls ESA smoothing; Average Length — affects WT1 responsiveness; level (WT Level) — adjusts band width for signal filtering. • Display Elements: Options to show/hide ESA, bands, WT1/WT2; customizable colors for lines, fills, and the wave effect. • Signals: Three signal groups (return-to-band, crossovers outside bands, crossovers inside bands) with display and color customization options. █ HOW TO USE 1 — Add the indicator to your TradingView chart and adjust parameters: — Increase ESA Length and Average Length for low-volatility markets (e.g., stocks), or decrease for cryptocurrencies or forex. — Set level to 50–60 for classic WaveTrend signals with WT1/WT2 crossovers outside bands. The default value of 100 creates wider bands and fewer signals. 2 — Analyze trends: — Major trend (WT1 vs. ESA) shows the overall market direction. — Mini-trends (WT1/WT2 crossovers) help time short-term entries. 3 — Use signals: — Return-to-band: Buy at the lower band, sell at the upper band (mean-reversion). — Crossovers outside bands: Indicate strong momentum (with a lower level, e.g., 50). — Crossovers inside bands: Signal weaker trend changes. 4 — Combine with other tools: Use with volume, RSI, or support/resistance for better decisions. Test on historical data to optimize settings.
Pine Script® indicator
by Uncle_the_shooter
2
Swing Point Volume Z-ScoreSWING POINT VOLUME Z-SCORE INDICATOR A volume analysis tool that identifies statistical volume spikes at swing points with optional higher timeframe confirmation. This indicator uses Leviathan's method of swing detection. All credit to him for his amazing work (and any mistakes mine). I was also inspired by Trading Riot, who's Capitulation indicator gave me the idea to create this one. WHAT IT DOES This indicator combines three analytical approaches: - Volume Z-score calculation to measure volume significance statistically - Automatic swing point detection (higher highs, lower lows, etc.) - Optional higher timeframe volume confirmation The Z-score measures how many standard deviations current volume is from the average, helping identify when volume activity is genuinely elevated rather than relying on visual assessment. VISUAL SYSTEM The indicator uses a color-coded approach for quick assessment: GREEN - Normal Activity (Z-Score 1.0-2.0) Above-average volume levels ORANGE - Elevated Activity (Z-Score 2.0-3.0) High volume activity that may indicate increased interest RED - Potential Institutional Activity (Z-Score 3.0+) Very high volume levels that could suggest significant market participation HIGHER TIMEFRAME CONFIRMATION When enabled, the indicator checks volume on a higher timeframe: - Checkmark symbol indicates HTF volume also shows elevation - X symbol indicates HTF volume doesn't confirm - Auto-selects appropriate higher timeframe or allows manual selection KEY FEATURES Statistical Approach: Uses Z-score methodology rather than arbitrary volume thresholds Adaptive Thresholds: Can adjust based on market volatility conditions Swing Focus: Concentrates analysis on structurally important price levels Volume Trends: Shows whether volume is accelerating or decelerating Success Tracking: Monitors how often HTF confirmation proves effective DISPLAY OPTIONS Basic Mode: Essential features with clean interface Advanced Mode: Additional customization and analytics Label Sizing: Four size options to fit different screen setups Table Position: Moveable info table with transparency control Custom Colors: Adjustable for different chart themes PRACTICAL APPLICATIONS May help identify: - Volume spikes at support/resistance levels - Potential accumulation or distribution zones - Breakout confirmation with volume backing - Areas where larger market participants might be active Works on all liquid markets and timeframes, though generally more effective on 15-minute charts and higher. USAGE NOTES This is an analytical tool that highlights statistically significant volume events. It should be used as part of a broader analysis approach rather than as a standalone trading system. The indicator works best when combined with: - Price action analysis - Support and resistance identification - Trend analysis - Proper risk management Default settings are designed to work well across most instruments, but users can adjust parameters based on their specific needs and trading style. TECHNICAL DETAILS Built with Pine Script v5 Compatible with all TradingView subscription levels Open source code available for review and learning Works on stocks, forex, crypto, futures, and other liquid instruments The statistical approach helps remove some subjectivity from volume analysis, though like all technical indicators, it should be used thoughtfully as part of a complete trading plan.
Pine Script® indicator
by bearbearbull23
3
VWAP Multi-TimeframeThis is a multi-timeframe VWAP indicator that provides volume weighted average price calculations for the following time periods: 15min 30min 1H 2H 4H 6H 8H 12H 1D 1W 1M 3M 6M 1Y You can use the lower timeframes for short term trend control areas and use the longer timeframes for long term trend control areas. Trade in the direction of the trend and watch for price reactions that you can trade when price gets close to or touches any of these levels. This indicator will provide a data plot value of 1 for bullish when price is above all VWAPs that are turned on, -1 for bearish when price is below all VWAPs that are turned on and 0 for neutral when price is not above or below all VWAPs. Use this 1, -1, 0 value as a filter on your signal generating indicators so that you can prevent signals from coming in unless they are in the same direction as the VWAP trend. Features Trend direction value of 1, -1 or 0 to send to external indicators so you can filter your signal generating indicators using the VWAP trend. Trend table that shows you whether price is above or below all of the major VWAPs. This includes the daily, weekly, monthly and yearly VWAPs. Trend coloring between each VWAP and the close price of each candle so you can easily identify the trend direction. Customization Set the source value to use for all of the VWAP calculations. The default is HLC3. Turn on or off each VWAP. Change the color of each VWAP line. Change the thickness of each VWAP line. Turn on or off labels for each VWAP or turn all labels on or off at once. Change the offset length from the current bar to the label text. Change the label text color. Turn on or off trend coloring for each VWAP. Change the color for up trends and down trends. Turn on or off the trend direction display table. Change the location of the trend direction display table. Adjust the background and text colors on the trend direction display table. How To Use The Trend Direction Filtering Feature The indicator will provide a data plot value of 1 for bullish when price is above all of the VWAPs that are turned on, a value of -1 for bearish when price is below all of the VWAPS that are turned on and a value of 0 for neutral when price is above and below some of the VWAPs that are turned on. The name of the value to use with your external indicators will show up as: VWAP Multi-Timeframe: Trend Direction To Send To External Indicators Make sure to use that as your source on your external indicators to get the correct values. This 1, -1 or 0 value can then be used by another external indicator to tell the indicator what is allowed to do. For instance if you have another indicator that provides buy and sell signals, you can use this trend direction value to prevent your other indicator from giving a sell signal when the VWAP trend is bullish or prevent your other indicator from giving a buy signal when the VWAP trend is bearish. You will need to program your other indicators to use this trend filtering feature, but this indicator is already set up with this filtering code so you can use it with any other indicator that you choose to filter(if you know how to customize pine script). Markets You Can Use This Indicator On This indicator uses volume and price to calculate values, so it will work on any chart that provides volume and price data.
Pine Script® indicator
by FriendOfTheTrend
Prime NumbersPrime Numbers highlights prime numbers (no surprise there 😅), tokens and the recent "active" feature in "input". 🔸 CONCEPTS 🔹 What are Prime Numbers? A prime number (or a prime) is a natural number greater than 1 that is not a product of two smaller natural numbers. Wikipedia: Prime number 🔹 Prime Factorization The fundamental theorem of arithmetic states that every integer larger than 1 can be written as a product of one or more primes. More strongly, this product is unique in the sense that any two prime factorizations of the same number will have the same number of copies of the same primes, although their ordering may differ. So, although there are many different ways of finding a factorization using an integer factorization algorithm, they all must produce the same result. Primes can thus be considered the "basic building blocks" of the natural numbers. Wikipedia: Fundamental theorem of arithmetic Math Is Fun: Prime Factorization We divide a given number by Prime Numbers until only Primes remain. Example: 24 / 2 = 12 | 24 / 3 = 8 12 / 3 = 4 | 8 / 2 = 4 4 / 2 = 2 | 4 / 2 = 2 | 24 = 2 x 3 x 2 | 24 = 3 x 2 x 2 or | or 24 = 2² x 3 | 24 = 2² x 3 In other words, every natural/integer number above 1 has a unique representation as a product of prime numbers, no matter how the number is divided. Only the order can change, but the factors (the basic elements) are always the same. 🔸 USAGE The Prime Numbers publication contains two use cases: Prime Factorization: performed on "close" prices, or a manual chosen number. List Prime Numbers: shows a list of Prime Numbers. The other two options are discussed in the DETAILS chapter: Prime Factorization Without Arrays Find Prime Numbers 🔹 Prime Factorization Users can choose to perform Prime Factorization on close prices or a manually given number. ❗️ Note that this option only applies to close prices above 1, which are also rounded since Prime Factorization can only be performed on natural (integer) numbers above 1. In the image below, the left example shows Prime Factorization performed on each close price for the latest 50 bars (which is set with "Run script only on 'Last x Bars'" -> 50). The right example shows Prime Factorization performed on a manually given number, in this case "1,340,011". This is done only on the last bar. When the "Source" option "close price" is chosen, one can toggle "Also current price", where both the historical and the latest current price are factored. If disabled, only historical prices are factored. Note that, depending on the chosen options, only applicable settings are available, due to a recent feature, namely the parameter "active" in settings. Setting the "Source" option to "Manual - Limited" will factorize any given number between 1 and 1,340,011, the latter being the highest value in the available arrays with primes. Setting to "Manual - Not Limited" enables the user to enter a higher number. If all factors of the manual entered number are in the 1 - 1,340,011 range, these factors will be shown; however, if a factor is higher than 1,340,011, the calculation will stop, after which a warning is shown: The calculated factors are displayed as a label where identical factors are simplified with an exponent notation in superscript. For example 2 x 2 x 2 x 5 x 7 x 7 will be noted as 2³ x 5 x 7² 🔹 List Prime Numbers The "List Prime Numbers" option enables users to enter a number, where the first found Prime Number is shown, together with the next x Prime Numbers ("Amount", max. 200) The highest shown Prime Number is 1,340,011. One can set the number of shown columns to customize the displayed numbers ("Max. columns", max. 20). 🔸 DETAILS The Prime Numbers publication consists out of 4 parts: Prime Factorization Without Arrays Prime Factorization List Prime Numbers Find Prime Numbers The usage of "Prime Factorization" and "List Prime Numbers" is explained above. 🔹 Prime Factorization Without Arrays This option is only there to highlight a hurdle while performing Prime Factorization. The basic method of Prime Factorization is to divide the base number by 2, 3, ... until the result is an integer number. Continue until the remaining number and its factors are all primes. The division should be done by primes, but then you need to know which one is a prime. In practice, one performs a loop from 2 to the base number. Example: Base_number = input.int(24) arr = array.new() n = Base_number go = true while go for i = 2 to n if n % i == 0 if n / i == 1 go := false arr.push(i) label.new(bar_index, high, str.tostring(arr)) else arr.push(i) n /= i break Small numbers won't cause issues, but when performing the calculations on, for example, 124,001 and a timeframe of, for example, 1 hour, the script will struggle and finally give a runtime error. How to solve this? If we use an array with only primes, we need fewer calculations since if we divide by a non-prime number, we have to divide further until all factors are primes. I've filled arrays with prime numbers and made libraries of them. (see chapter "Find Prime Numbers" to know how these primes were found). 🔹 Tokens A hurdle was to fill the libraries with as many prime numbers as possible. Initially, the maximum token limit of a library was 80K. Very recently, that limit was lifted to 100K. Kudos to the TradingView developers! What are tokens? Tokens are the smallest elements of a program that are meaningful to the compiler. They are also known as the fundamental building blocks of the program. I have included a code block below the publication code (// - - - Educational (2) - - - ) which, if copied and made to a library, will contain exactly 100K tokens. Adding more exported functions will throw a "too many tokens" error when saving the library. Subtracting 100K from the shown amount of tokens gives you the amount of used tokens for that particular function. In that way, one can experiment with the impact of each code addition in terms of tokens. For example adding the following code in the library: export a() => a = array.from(1) will result in a 100,041 tokens error, in other words (100,041 - 100,000) that functions contains 41 tokens. Some more examples, some are straightforward, others are not ) // adding these lines in one of the arrays results in x tokens , 1 // 2 tokens , 111, 111, 111 // 12 tokens , 1111 // 5 tokens , 111111111 // 10 tokens , 1111111111111111111 // 20 tokens , 1234567890123456789 // 20 tokens , 1111111111111111111 + 1 // 20 tokens , 1111111111111111111 + 8 // 20 tokens , 1111111111111111111 + 9 // 20 tokens , 1111111111111111111 * 1 // 20 tokens , 1111111111111111111 * 9 // 21 tokens , 9999999999999999999 // 21 tokens , 1111111111111111111 * 10 // 21 tokens , 11111111111111111110 // 21 tokens //adding these functions to the library results in x tokens export f() => 1 // 4 tokens export f() => v = 1 // 4 tokens export f() => var v = 1 // 4 tokens export f() => var v = 1, v // 4 tokens //adding these functions to the library results in x tokens export a() => const arraya = array.from(1) // 42 tokens export a() => arraya = array.from(1) // 42 tokens export a() => a = array.from(1) // 41 tokens export a() => array.from(1) // 32 tokens export a() => a = array.new() // 44 tokens export a() => a = array.new(), a.push(1) // 56 tokens What if we could lower the amount of tokens, so we can export more Prime Numbers? Look at this example: 829111, 829121, 829123, 829151, 829159, 829177, 829187, 829193 Eight numbers contain the same number 8291. If we make a function that removes recurrent values, we get fewer tokens! 829111, 829121, 829123, 829151, 829159, 829177, 829187, 829193 //is transformed to: 829111, 21, 23, 51, 59, 77, 87, 93 The code block below the publication code (// - - - Educational (1) - - - ) shows how these values were reduced. With each step of 100, only the first Prime Number is shown fully. This function could be enhanced even more to reduce recurrent thousands, tens of thousands, etc. Using this technique enables us to export more Prime Numbers. The number of necessary libraries was reduced to half or less. The reduced Prime Numbers are restored using the restoreValues() function, found in the library fikira/Primes_4. 🔹 Find Prime Numbers This function is merely added to show how I filled arrays with Prime Numbers, which were, in turn, added to libraries (after reduction of recurrent values). To know whether a number is a Prime Number, we divide the given number by values of the Primes array (Primes 2 -> max. 1,340,011). Once the division results in an integer, where the divisor is smaller than the dividend, the calculation stops since the given number is not a Prime. When we perform these calculations in a loop, we can check whether a series of numbers is a Prime or not. Each time a number is proven not to be a Prime, the loop starts again with a higher number. Once all Primes of the array are used without the result being an integer, we have found a new Prime Number, which is added to the array. Doing such calculations on one bar will result in a runtime error. To solve this, the findPrimeNumbers() function remembers the index of the array. Once a limit has been reached on 1 bar (for example, the number of iterations), calculations will stop on that bar and restart on the next bar. This spreads the workload over several bars, making it possible to continue these calculations without a runtime error. The result is placed in log.info() , which can be copied and pasted into a hardcoded array of Prime Number values. These settings adjust the amount of workload per bar: Max Size: maximum size of Primes array. Max Bars Runtime: maximum amount of bars where the function is called. Max Numbers To Process Per Bar: maximum numbers to check on each bar, whether they are Prime Numbers. Max Iterations Per Bar: maximum loop calculations per bar. 🔹 The End ❗️ The code and description is written without the help of an LLM, I've only used Grammarly to improve my description (without AI :) )
Pine Script® indicator
by fikira
2
Liquidity Swings + SMT DivergencesThis combined script merges two advanced LuxAlgo tools, Liquidity Swings and SMT Divergences into a single indicator for efficient chart space usage. The Liquidity Swings portion automatically detects and marks recent swing highs and lows as potential liquidity pools, highlighting them with boxes, lines, and volume/count labels so traders can quickly see where price is likely to react or reverse. The SMT Divergences portion compares the chart’s price action to one or two correlated symbols and identifies “Smart Money Technique” divergences, where one market makes a higher high or lower low while the other fails to do so, signaling potential reversals or high-probability setups. Together, they give traders a visual map of where liquidity is sitting and when institutional order flow may be shifting making it useful for precision entries, targeting, and filtering trades in ICT-style and order flow–based strategies. I would like to give credit to LuxAlgo for the script bases.
Pine Script® indicator
by Nathan_m234
VOLUME SIGNAL WITH FILTERCVD Divergence Pro Indicator - Volume & Candlestick Reversal Signals Fellow traders! This indicator combines CVD (Composite Volume Delta) divergence analysis with powerful candlestick reversal patterns. It spots high-probability trend reversal points directly on your price chart. Triple-filtered signals: CVD divergences Volume analysis Candlestick confirmation Detects 4 reversal patterns: Hammer (bullish reversal) Engulfing (strong momentum) Hanging Man (bearish reversal) Pin Bar (66%+ tail dominance) Usage Tips: Experiment with settings for optimal results Works best when combined with: Support/resistance levels Moving averages Recommended as confirmation filter (not standalone) Important: This is NOT a complete trading system. Use at your own risk. I take NO responsibility for trading results. Happy trading and good profits to all!
Pine Script® indicator
by algoboy444
1
Fusion Indicator [Find Better Trades]Fusion Trend Reversal Indicator What it does This tool is designed to help traders spot potential turning points instead of chasing moves. It fuses three normalized momentum measures (EMA spread, RSI offset, and MACD histogram) into a single score, then compares that score to volatility-adaptive thresholds. When the score moves back inside those bands after an extreme reading, it can signal a possible market reversal. Why it’s different Reversal logic aims to buy after weakness fades and sell after strength fades. Adaptive thresholds automatically widen or tighten with ATR-based volatility. ADX filter avoids reversals in completely flat or low-pressure markets. ATR extension filter blocks entries when price is over-extended far from its slow EMA. How to use it Add to your chart on any symbol and timeframe, but 1H+ works well for trend clarity. Buy/Sell shapes appear when reversal conditions are met. Adjust the Base Threshold and ATR Extension Multiplier to control sensitivity. Use the built-in “Fusion Buy Signal” and “Fusion Sell Signal” alerts to get notified. Note No indicator is perfect. Always confirm signals with your own analysis and manage risk appropriately.
Pine Script® indicator
by FindBetterTrades
EMA Distance %# EMA Distance % - Daily Timeframe Analysis ## Overview This indicator provides real-time analysis of price distance from key Exponential Moving Averages (EMA 10 and EMA 21) on the daily timeframe, regardless of your current chart timeframe. It displays both percentage and volatility-adjusted (ATR) distances in a clean, customizable table format. ## Key Features - **Daily Timeframe Focus**: Always references daily EMA 10 and EMA 21 values, providing consistent analysis across all chart timeframes - **Dual Distance Metrics**: Shows both percentage distance and ATR-normalized distance for comprehensive analysis - **Customizable Table Position**: Position the data table anywhere on your chart (9 different locations available) - **Color-Coded Results**: Green indicates price above EMA, red indicates price below EMA - **Volatility Adjustment**: ATR distance provides context relative to the asset's typical price movements ## What It Shows The indicator displays a table with the following information: - **EMA Value**: Current daily EMA 10 and EMA 21 values - **Distance %**: Percentage distance from each EMA (positive = above, negative = below) - **ATR Distance**: How many Average True Range units the price is from each EMA ## Use Cases - **Mean Reversion Trading**: Identify when price has moved significantly away from key EMAs - **Trend Strength Analysis**: Gauge the strength of current trends relative to moving averages - **Entry/Exit Timing**: Use ATR distances to identify potential reversal zones (typically 2-3+ ATR) - **Multi-Timeframe Analysis**: View daily EMA relationships while analyzing shorter timeframes - **Risk Management**: Understand volatility-adjusted distance for better position sizing ## Settings - **Table Position**: Choose from 9 different table positions on your chart - **ATR Period**: Customize the ATR calculation period (default: 14) ## Interpretation - **Small distances (< 1% or < 1 ATR)**: Price near EMA support/resistance - **Medium distances (1-3% or 1-2 ATR)**: Normal trending movement - **Large distances (> 3% or > 2-3 ATR)**: Potential overextension, watch for mean reversion Perfect for swing traders, position traders, and anyone using EMA-based strategies who wants quick access to daily timeframe EMA relationships without switching chart timeframes.
Pine Script® indicator
by kingkong_888
1
FIBO SWING mfi by julzALGOOVERVIEW FIBO SWING mfi by julzALGO blends MFI → RSI → Least‑Squares smoothing to flag overbought/oversold swings and continuously plot Fibonacci retracements from the rolling high/low of the last 200 bars. It’s built to spot momentum shifts while giving you a clean, always‑current fib map of the recent market range. CORE PRINCIPLES Hybrid Momentum Signal Uses MFI to integrate price and volume. Applies RSI to MFI for momentum clarity. Smooths the result with Least Squares regression to reduce noise. Swing Identification Marks potential swing highs when momentum is overbought. Marks potential swing lows when momentum is oversold. Fixed-Window Fibonacci Mapping Always calculates fib levels from the highest high and lowest low of the last 200 bars. This keeps fib zones consistent, independent of swing point detection. Visual Clarity & Non-Repainting Logic Clean labels for OB/OS zones. Lines and levels update only as new bars confirm changes. Adaptability Works on any market and timeframe. Adjustable momentum length, OB/OS thresholds, and smoothing. HOW IT WORKS Computes Money Flow Index (MFI) from price & volume. Applies RSI to the MFI for clearer OB/OS momentum. Smooths the hybrid with a Least Squares (linear regression) filter. Swing labels appear when OB/OS conditions are met (green = swing low, red = swing high). Fibonacci retracements are always drawn from the highest high and lowest low of the last 200 bars (rolling window), independent of swing labels. HOW TO USE Watch for OB/OS flips to mark potential swing highs/lows. Use the 200‑bar fib grid as your active map of pullback levels and reaction zones. Combine fib reactions with your price action/volume cues for confirmation. Works across markets and timeframes. SETTINGS Length – Period for both MFI and RSI. OB/OS Levels – Overbought/oversold thresholds (default 70/30). Smooth – Least‑Squares smoothing length. Fibonacci Window – Fixed at 200 bars in this version (changeable in code via fibLen). NOTES Logic is non‑repainting aside from standard bar/label confirmation. Increase Length on very low timeframes to reduce noise. Swing labels help context; fibs are always based on the most recent 200‑bar high/low range. SUMMARY FIBO SWING mfi by julzALGO is a momentum-plus-price action tool that merges MFI → RSI → smoothing to identify overbought/oversold swings and automatically plot Fibonacci retracements based on the rolling high/low of the last 200 bars. It’s designed to help traders quickly see potential reversal points and pullback zones, offering visual confluence between momentum shifts and fixed-window price structure. DISCLAIMER For educational purposes only. Not financial advice. Trade responsibly with proper risk management.
Pine Script® indicator
by julzALGO
Trident Doji Detector - ZTFNon-Lagging Doji Detector This indicator automatically identifies and plots four types of doji candlestick patterns in real-time, specifically designed as a component of @TylerG_Capital's Trident pattern trading model. Common Doji - Small body with balanced upper and lower shadows (blue diamond) Long-Legged Doji - Small body with very long shadows on both sides (purple square) Dragonfly Doji - Small body with long lower shadow, minimal upper shadow (green triangle) Four-Price Doji - All prices (OHLC) nearly equal, forming a flat line (orange cross) Key Features: Detects patterns as they form (non-lagging) or waits for candle close confirmation Adjustable body size threshold (default 10% of candle range) Tiny, unobtrusive labels positioned below bars Works on all timeframes and instruments Simple pattern recognition without directional bias How it works: The indicator analyzes each candle's body size relative to its total range and shadow proportions. It uses a hierarchy system to classify each doji into its most specific type, ensuring only one label per candle.
Pine Script® indicator
by zerotofunded
Enhanced RSI KDE | Advanced FiltersThis is an enhanced version of the excellent RSI (Kernel Optimized) indicator originally created by @fluxchart. Full credit goes to fluxchart for the innovative KDE (Kernel Density Estimation) concept and the solid foundation that made this enhancement possible. 🙏 CREDITS & ACKNOWLEDGMENTS Original Creator: @fluxchart - RSI (Kernel Optimized) Original Concept: Kernel Density Estimation applied to RSI pivot analysis Enhancement: Advanced filtering system and signal optimization- profitgang License: Mozilla Public License 2.0 🚀 WHAT'S NEW IN THIS ENHANCED VERSION Building upon fluxchart's brilliant KDE RSI foundation, this version adds: 🔥 Advanced Filtering System: Multi-Timeframe Confluence - Confirms signals across higher timeframes Volume Confirmation - Only signals on above-average volume Volatility Range Filter - Avoids signals in choppy or extreme conditions Trend Context Analysis - Considers overall market direction Adaptive Pivot Detection - Adjusts sensitivity based on market volatility 🎯 Signal Quality Improvements: Confluence Scoring - Each signal gets a quality score (1-6) Label Cooldown System - Prevents chart clutter with smart spacing Higher Activation Thresholds - More selective signal generation Risk Management Integration - Auto stop-loss and take-profit levels 📊 Enhanced Dashboard: Real-time filter status monitoring KDE probability percentages Confluence scores for both directions Volume and volatility readings ⚙️ HOW IT WORKS The indicator maintains fluxchart's core KDE methodology: Collects RSI values at historical pivot points Creates probability density functions using Gaussian/Uniform/Sigmoid kernels Identifies high-probability zones for potential reversals NEW: Multiple filters must align before generating signals, dramatically reducing false positives while maintaining the accuracy of high-probability setups. 🎛️ RECOMMENDED SETTINGS Confluence Score: 5/6 (very selective) Activation Threshold: Medium or High Multi-Timeframe: Enabled with 2/2 alignment Volume Filter: Enabled (1.5x threshold) All other filters: Enabled for maximum quality 📈 BEST USE CASES Swing Trading - Higher timeframe confirmation reduces whipsaws Quality over Quantity - Fewer but much higher probability signals Risk Management - Built-in stop/target levels for each signal Multi-Asset Analysis - Works on stocks, crypto, forex, commodities ⚠️ IMPORTANT NOTES This is a quality-focused indicator - expect fewer but better signals Backtest thoroughly on your specific assets and timeframes The original fluxchart indicator remains excellent for different trading styles Consider this an alternative approach, not a replacement 🤝 COLLABORATION & FEEDBACK Special thanks to @fluxchart for creating the original innovative KDE RSI concept. This enhancement wouldn't exist without that solid foundation. Feel free to suggest improvements or share your results! The goal is to build upon great work in the community.
Pine Script® indicator
by profitgang
Clean Pivot Lines with AlertsTechnical Overview This Script is designed for detecting untouched pivot highs and lows. It draws horizontal levels only when those pivots remain unviolated within a configurable lookback window and removes them automatically upon price breaches or sweeps. Key components include: Pivot detection logic : Utilizes ta.pivothigh()/ta.pivotlow() (or equivalent via request.security for HTF) with parameterized pivotLength to ensure flexibility and adaptability to different timeframes. Cleanliness filtering : Checks lookbackBars prior to line creation to skip levels already violated, ensuring only uncontaminated pivots are used. Dynamic level tracking : Stores active levels in arrays (highLines, lowLines) for continuous real-time monitoring. Violation logic : Detects both close-based breaks (breakAbove/breakBelow) and wick-based sweeps (sweepAbove/sweepBelow), triggering alerts and automatic teardown. Periodic housekeeping : Every N (10) confirmed bars, re-verifies “clean” status and removes silently invalidated levels—maintaining chart hygiene and avoiding stale overlays. Customization options : Supports pivot timeframe override, colors, line width/style, lookback length, and alert toggling. Utility This overlay script provides a disciplined workflow for drawing meaningful support/resistance levels, filtering out contaminated pivot points, and signaling validations (breaks/sweeps) with alerts. Its modular design and HTF support facilitate integration into systematic workflows, offering far more utility than mere static pivot plots. Usage Instructions 1. Adjust `pivot_timeframe`, `pivot_length`, and `lookback_bars` to suit your strategy timeframe and volatility structure. 2. Customize visual parameters as required. 3. Enable alerts to receive in-platform messages upon pivot violations. 4. Use HTF override only if analyzing multi-timeframe pivot behavior; otherwise, leave empty to default to chart timeframe. Performance & Limitations - Pivot lines confirmation lags by `pivot_length` bars; real-time signals may be delayed. - Excessive active lines may impact performance on low-TF charts. - The “clean” logic is contingent on the `lookback_bars` parameter; choose sufficiently high values to avoid false cleanliness. - Alerts distinguish between closes beyond and wick-only breaches to aid strategic nuance.
Pine Script® indicator
by BaidehnXBT
2