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Wyckoff Accumulation Phase Map [AGPro Series]Wyckoff Accumulation Phase Map 🟢 OVERVIEW Wyckoff Accumulation Phase Map is the bullish counterpart of the Wyckoff Distribution Phase Map and completes the AGPro Wyckoff structural cycle. It is a retrospective structural mapping tool that locates and labels the seven core accumulation events — Preliminary Support (PS), Selling Climax (SC), Automatic Rally (AR), Secondary Test (ST), Spring, Last Point of Support (LPS) and Sign of Strength (SOS) — only after a bullish Change of Character (CHoCH) confirms that the prior downtrend has structurally broken. The indicator frames the active trading range as a shaded zone, plots SC and AR horizontal references, tracks the current phase (A, B, C, D, E) in a dedicated info panel, and introduces three accumulation-specific layers absent from the distribution companion: a Spring Quality Score, a Cause-to-Effect markup projection and a rolling volume footprint classifier. 🟢 COMPANION TO THE DISTRIBUTION PHASE MAP This indicator is intentionally designed as the symmetric counterpart of Wyckoff Distribution Phase Map . The two scripts share a unified AGPro visual language and a CHoCH-gated reveal philosophy, but they operate on opposite market regimes and different event sets: - Distribution map works on uptrends and draws PSY, BC, AR, UT, SOW and LPSY after a bearish CHoCH. - Accumulation map works on downtrends and draws PS, SC, AR, ST, Spring, LPS and SOS after a bullish CHoCH. - Distribution projects a potential markdown line from LPSY. - Accumulation projects a Cause-to-Effect markup target from SOS. - Accumulation additionally provides a 0-100 Spring Quality Score, which has no structural equivalent in the distribution schematic. Both tools are standalone. Users running the full AGPro Wyckoff workflow can apply them together for complete cycle coverage, but neither depends on the other. 🟢 WHAT MAKES IT DIFFERENT Most Wyckoff scripts on TradingView react to every elevated swing low during a downtrend and label PS / SC / Spring on every modest dip. The result is a noisy chart, often with contradictory events stacked on top of each other. This indicator takes the opposite approach. During a qualified downtrend, the chart remains completely clean. Rolling trackers silently maintain candidate values for SC, PS and AR in memory, while a live Watching row in the panel shows what the engine is currently monitoring. Events are only drawn on the chart after a bullish CHoCH locks the schematic, at which point PS, SC and AR appear together as a confirmed retrospective bundle. ST, Spring, LPS and SOS then populate as post-CHoCH structure unfolds. A multi-tier expiry system closes both incomplete and fully-played-out accumulations, ensuring the active schematic on screen always reflects current market structure and not stale history. 🟢 METHODOLOGY The engine runs in three coordinated layers. Layer one qualifies a prior downtrend. A valid Wyckoff accumulation precondition requires four concurrent factors: structural lower highs and lower lows, a minimum ATR-multiple depth from the lookback-window high, a duration sustained across the full lookback window, and price currently located in the lower portion of that window. All four conditions must hold before any candidate can form. Layer two rolls candidate values during that qualified downtrend. SC candidate is the running lowest pivot low with elevated or climactic volume. PS candidate is the prior elevated swing low that predates the SC. AR candidate is the highest post-SC swing high that remains within a structurally reasonable distance from SC. Candidates are automatically invalidated if price drifts far above the SC without a structural break or if the candidate ages beyond a configurable maximum. Layer three watches for a bullish Change of Character, defined as the first bar that closes above the qualified AR candidate. On CHoCH confirmation, PS, SC and AR are snapshotted as labeled events, the trading range is drawn, and the state machine advances to forward detection. ST, Spring, LPS and SOS are then detected in sequence using a combination of price-to-SC, price-to-AR and volume-to-average filters. Volume context is computed against a configurable moving-average baseline with separate climactic, elevated and weak thresholds. The Spring Quality Score blends four components into a 0-100 rating: penetration depth below SC, volume dry-up on the sweep bar, recovery strength measured by close position within the candle range, and close location relative to SC. The Cause-to-Effect projection draws a symmetrical markup target from the SOS bar using the trading range height. 🟢 SIGNALS AND ALERTS The indicator fires three categories of alerts, all reserved for confirmed structural events: - CHoCH Confirmation alert triggers when the structural break locks in, including the resolved SC and AR levels. - Spring alert fires when the Spring is detected, including the Spring Quality score. - Sign of Strength alert fires when SOS confirms with climactic volume above AR. No alerts are emitted during the forming phase. This keeps notification volume low and focused on decisive structural moments. 🟢 KEY INPUTS Core Engine inputs control swing lookback sensitivity, candidate maximum age, post-CHoCH timeout, prior downtrend lookback, minimum downtrend depth in ATR multiples, and the near-lows threshold used in downtrend qualification. Volume Analysis exposes the moving-average length and three separate multipliers for climactic, elevated and weak volume classification. Visual inputs toggle the trading range zone, SC and AR horizontal levels, the CHoCH dashed break line, the Cause-to-Effect projection, the floating summary label and the keep-historical-events mode, with full control over font size and zone transparency. The info panel can be repositioned to six anchor points and switched between dark and light themes. 🟢 HOW TO USE Apply the indicator to any liquid instrument and any timeframe. During downtrends, observe the Watching row in the panel to monitor the forming SC candidate. When CHoCH prints, the full PS, SC and AR bundle appears and the trading range is shaded. From that point, use the Next Expected row to track what the engine is waiting for. The Confidence score progresses from 70 at CHoCH to 97 at SOS. The Spring Quality Score becomes populated when a Spring is detected and quantifies the character of the sweep. The Volume Footprint row rolls through Range forming, Supply exhausting, Weak hands shaken, Supply absorbed and Demand in control as the schematic matures. The floating summary label on the right edge of the chart provides an at-a-glance status even when the primary event labels are scrolled off to the left. The indicator works standalone but is designed to complement any market structure, order flow or supply-and-demand workflow. 🟢 LIMITATIONS AND TRANSPARENCY This tool is a pattern-recognition and labeling engine, not a strategy or a trading signal generator. All events are detected retrospectively after their confirming bar has closed plus the swing lookback period. This is by design to eliminate redrawing. The Wyckoff schematic is a framework, not a deterministic forecast. Not every accumulation completes the full seven-event sequence, and markets frequently fail schematics entirely and resume the prior downtrend. The volume analysis assumes reliable reported volume, so thin or fragmented markets may produce weaker classification. The Spring Quality Score and Confidence score are internal heuristics tied to event progression and are not statistical probabilities. The Cause-to-Effect projection is a classical Wyckoff reference line derived from range height, not a mechanical target guaranteed to be reached. Past schematic completions do not predict future market behavior. 🟢 RISK DISCLOSURE This indicator is published for educational and analytical purposes only. It does not constitute financial advice, a trading recommendation or an investment solicitation. Trading any financial instrument involves substantial risk, including the potential loss of principal. Past performance does not guarantee future results. Users are solely responsible for their own trading decisions, risk management and independent research. Always backtest thoroughly and trade within a risk framework you understand.
Pine Script® 인디케이터
AGProLabs의
AG Pro BOS & CHoCH Auto Detector [AGPro Series]AG Pro BOS & CHoCH Auto Detector OVERVIEW / WHAT IT DOES AG Pro BOS & CHoCH Auto Detector is a market structure overlay designed to organize swing-based price action into a more readable workflow. Instead of leaving the chart covered with disconnected pivot labels or generic break markers, this script tracks structural swing progression, identifies when prior highs or lows are broken, and classifies those breaks as either BOS (Break of Structure) or CHoCH (Change of Character). The goal is not to predict the next move, but to help traders read whether price is continuing an existing structure or beginning to challenge it. The script monitors HH, HL, LH, and LL development using pivot logic, then uses those reference points to detect structural breaks. A break in the direction of the active structure is treated as BOS, while the first meaningful break against the prior directional structure is treated as CHoCH. This distinction matters because many charts show every break in the same visual language, even though continuation and character shift do not carry the same analytical meaning. Here, those events are separated clearly. A second layer of usefulness comes from presentation discipline. This script is built to keep structural information visible without turning the chart into a wall of labels. Swing density can be reduced, major structures can be emphasized, and the higher timeframe overlay can remain active in the background to keep local execution aligned with broader structure. The result is a structure map that stays informative without becoming visually noisy. This tool is intended for traders who already use price structure as part of their chart reading and want a cleaner way to monitor continuation versus transition. It can support discretionary workflows around trend continuation, pullback analysis, structure failure, and higher timeframe context, while still remaining transparent about how its signals are formed. UNIQUE EDGE Many market structure tools stop at plotting swing points or printing BOS / CHoCH text when a level is crossed. AG Pro BOS & CHoCH Auto Detector is built around a more organized structure engine approach. Its edge is not based on trying to forecast direction or force trade entries. Its edge is based on classification, hierarchy, and chart readability: - It separates continuation breaks from character-change breaks instead of treating all structural violations as equivalent. - It preserves the swing chain context behind each event, so BOS and CHoCH are not isolated labels detached from surrounding structure. - It allows confirmation mode selection, so the user can decide whether structure breaks require close confirmation or can react to intrabar violations. - It includes higher timeframe structure context directly on the chart rather than forcing the user to reconstruct that context manually. - It includes swing-density controls so the visual output can be kept clean even when structure is active. This makes the script less like a simple labeling utility and more like a workflow layer for structure-based chart reading. METHODOLOGY 1) Swing Structure Detection The script uses pivot-based highs and lows to identify structural reference points. Those pivots are then classified into HH, HL, LH, and LL sequences, allowing the chart to reflect whether structure is strengthening, weakening, or transitioning. 2) BOS Logic When price breaks a prior structural level in the direction of the active trend, the event is labeled as BOS. In practical terms, this represents structural continuation rather than directional reversal. 3) CHoCH Logic When price breaks against the previously established directional structure, the event is labeled as CHoCH. This is treated as a possible character shift, not as a guaranteed reversal. It highlights that the prior structure has been challenged. 4) Confirmation Mode Users can choose whether structure breaks are confirmed by candle close or by intrabar price action. Close mode is more conservative and can reduce noise. Intrabar mode is more responsive and may show earlier breaks. 5) Higher Timeframe Overlay An optional MTF layer allows the script to bring higher timeframe structure context onto the active chart. This can help users avoid reading local swings in isolation when broader structure is still dominant. 6) Visual Hierarchy The script uses horizontal structure levels, event labels, optional arrows, controlled swing density, and a compact information panel to keep key structure events readable. The design priority is to preserve analytical clarity. SIGNALS & ALERTS This script can generate structure-based alerts for the following event types: - Bullish BOS - Bearish BOS - Bullish CHoCH - Bearish CHoCH - Any structure break These alerts are event-driven and tied to the script's structural logic. They are intended to notify the user when a relevant break occurs according to the selected confirmation mode. They are not trade instructions and should be interpreted within the user's broader process. KEY INPUTS Swing Pivot Length Controls pivot sensitivity. Lower values detect swings faster but may produce more noise. Higher values are more selective. Confirmation Mode Choose between Close and Intrabar logic for structure break confirmation. Max Structures to Show Limits how many structural events remain plotted on the chart. Swing Label Density Lets users choose between fuller swing annotation and a cleaner major-structure view. Max Swing Labels on Chart Helps prevent excessive label build-up in active market conditions. Enable MTF Overlay Adds higher timeframe structure context to the active chart. MTF Timeframe Defines which higher timeframe structure layer is projected onto the chart. Label Size / Panel Font Size / Line Settings Allow visual tuning without changing structural logic. LIMITATIONS & TRANSPARENCY This script uses pivot-based structure logic. That means swing points are confirmed only after the required pivot bars are completed. Because of this, the tool is confirmation-based by design and does not attempt to label unfinished pivots as confirmed structure. BOS and CHoCH are structural events, not certainty statements. A CHoCH may signal that the prior directional structure is being challenged, but it does not guarantee a lasting reversal. Likewise, a BOS indicates continuation within the script's structural framework, but not guaranteed follow-through. The higher timeframe overlay is designed to add context, not to replace direct higher timeframe chart review. Users should still interpret local and higher timeframe structure together rather than relying on a single signal state. This script is best used as a structure-mapping tool within a broader analytical framework. It is not a standalone trading system, not a predictor, and not a substitute for risk management. RISK DISCLOSURE This indicator is for chart analysis and educational use. It does not provide financial advice, does not guarantee outcomes, and should not be treated as a complete trading methodology on its own. Market structure tools can help organize price action, but all trading decisions remain the responsibility of the user.
Pine Script® 인디케이터
AGProLabs의
2
AG Pro ROC Momentum Shift Map [AGPro Series]AG Pro ROC Momentum Shift Map Overview / What it does AG Pro ROC Momentum Shift Map is a momentum-regime tool built around the Rate of Change (ROC) concept, but organized as a transition map rather than a standalone oscillator. Instead of treating ROC as a simple line that moves above or below zero, this script tracks how momentum shifts from one regime to another, whether that transition is strengthening or fading, and whether the current phase is fresh, mature, or beginning to stall. The script is designed to help users read momentum behavior in a more structured way. It separates bullish and bearish momentum into shift and expansion phases, then adds context through transition-zone logic, baseline separation, freshness tracking, and exhaustion risk. This allows the chart to show not only direction, but also the condition of that direction. This publication is not intended to forecast tops, bottoms, or future price movement. It is a context tool that organizes ROC behavior into states that may help users evaluate whether momentum is attempting to change character, continue, or lose efficiency. Unique Edge The main difference between this script and many ROC-based publications is that it does not present ROC as a raw crossing signal. It reframes ROC as a regime map with state logic, quality scoring, and momentum-stage classification. Within the AG Pro series, this script also has a different purpose than the previously published tools. It is not a breakout-quality model, not a pullback validator, not a support/resistance reaction map, not a relative-strength rotation framework, and not a correlation-stress tool. Those scripts focus on structure, levels, cross-asset comparison, reclaim behavior, or directional pressure. This script focuses on internal momentum state transitions derived from ROC behavior itself. More specifically: - It differs from breakout or retest-oriented scripts because it does not judge price interaction with a key level. - It differs from reaction-map scripts because it does not score how price behaves around predefined structures such as pivots, support/resistance, or moving-average reclaim zones. - It differs from pressure or trend-strength tools because its goal is not to estimate directional force in isolation, but to classify whether momentum is transitioning, expanding, contracting, or stalling. - It differs from relative-strength tools because it does not compare one symbol against another symbol or benchmark. That distinction is the core of the script’s originality: it uses ROC to map momentum regime transitions, not merely to display momentum magnitude. Methodology The script begins with a Rate of Change calculation over a user-defined length and optionally smooths that series to reduce small fluctuations. A regime baseline is then derived from the ROC series to establish whether current momentum is operating above or below its local equilibrium. A dynamic transition zone is built from ROC volatility. This zone is used to identify areas where momentum is attempting to move from one regime into another. Instead of using a rigid zero-line interpretation alone, the script evaluates whether ROC is operating inside or outside this transition area and whether slope supports the move. The internal state engine classifies momentum into five main conditions: - Bull Shift - Bull Expansion - Bear Shift - Bear Expansion - Neutral / Compression To add structure beyond simple state assignment, the script estimates Shift Quality using a combination of zone positioning, slope behavior, separation from the regime baseline, and acceleration. A whipsaw-sensitive penalty reduces the score when repeated zero-line crossings suggest unstable momentum behavior. The script also tracks how long the current state has been active. That information is used to classify the move as Fresh, Active, Mature, Stale, or Stalling. Expansion and contraction logic are then layered on top to provide a clearer view of whether momentum is broadening or fading. Finally, an exhaustion-risk estimate is derived from adverse slope, adverse acceleration, and contraction behavior against the current state. Signals & Alerts This script provides state-based informational events rather than trade promises. The built-in alert set is designed to mark notable momentum transitions in a deterministic way: - Bull Shift Detected - Bull Expansion Active - Bear Shift Detected - Bear Expansion Active - Momentum Stalling These alerts are best interpreted as momentum-context events. They are not guarantees of continuation, reversal, or trade outcome. Key Inputs Important inputs include: - ROC Length: defines the main lookback used for Rate of Change. - ROC Smoothing: reduces short-term noise in the raw ROC series. - Regime Baseline Length: sets the local reference used for momentum separation. - Transition Zone Length and Multiplier: control the width and sensitivity of the transition area. - Quality Normalization Length: affects how the quality model normalizes slope and ROC magnitude. - Whipsaw Lookback: influences how aggressively unstable zero-line rotation is penalized. - Freshness thresholds: define how quickly a state progresses from fresh to mature or stale. Users can also customize visual behavior such as histogram visibility, transition-zone display, background shading, labels, and panel presentation. Limitations & Transparency This script is an analytical indicator, not a prediction engine. ROC is a momentum derivative, so it can react quickly but can also become unstable in choppy or mean-reverting environments. During low-quality market conditions, momentum may rotate repeatedly around the transition zone and generate less reliable state changes. Shift Quality is an internal scoring framework created to organize momentum transitions more clearly. It is not an objective universal measure of trade quality, and it should not be interpreted as proof of future performance. Freshness, expansion, contraction, and exhaustion labels are contextual classifications based on the script’s internal logic. They are intended to help users structure momentum analysis, not to replace broader chart reading, trend assessment, market structure work, or risk management. As with any indicator, outputs can vary depending on symbol characteristics, volatility regime, timeframe, and user settings. This script should be used as one analytical layer within a broader decision process. Risk Disclosure This indicator is for chart analysis and educational use. It does not provide investment advice, trading advice, or guaranteed results. Financial markets involve risk, and no indicator can ensure favorable outcomes. Users should evaluate the script in their own workflow, test settings carefully, and apply independent judgment before making trading decisions.
Pine Script® 인디케이터
AGProLabs의
1
ATR Volume ROC Acceleration & Alerts [HYPR-run]DESCRIPTION: Rate of change applied to ATR and volume to measure volatility acceleration and participation momentum. ATR ROC catches expanding ranges before the move is obvious on price; volume ROC confirms whether participation backs the expansion. Gradient coloring intensifies with sustained directional momentum and fades on pullbacks. Volume ROC is auto-scaled to ATR ROC's range using the ratio of their standard deviations, so both signals plot in the same visual ballpark without one crushing the other. DISCOVERING EDGE ATR and volume are widely used, but most traders read them as separate panes with different scales. This indicator helps confirm whether participation backs a volatility expansion. Catching range expansion before the big candle prints is a leading confirmation signal we often use for entries and exits in our automated strategies. ATR ROC + VOLUME ROC vs SEPARATE ATR/VOLUME PANES Auto-scaling both ROC signals to the same range using their standard deviation ratio allows confirmation or divergence between volatility and participation signal to be captured and used for confirming entries and exits. - Vol breakout markers flag new 233-bar ATR ROC highs (yellow) and 30-bar range breaks (white); a 233-bar high means ATR hasn't expanded this fast in the entire lookback. - ATR expanding with volume ROC also rising = conviction; ATR expanding with volume flat = thin-market spike, treat with caution. - Webhook alerts on vol breakout (233-bar high, fewest signals) and std dev spike (more frequent) with full bar filter and directional candle confirmation. FEATURES - ATR ROC columns with advance/decline gradient (orange/red) - Volume ROC histogram, auto-scaled to ATR ROC range (cyan/blue gradient) - Vol breakout markers: new 233-bar ATR ROC high (yellow) and 30-bar range break (white) - Standard deviation filter for extreme ATR acceleration events - Structural ATR regime line (RMA baseline, optional) - Webhook-ready alerts with full bar filter - Full bar filter: body >= 66.6% of range (no doji fakeouts) HOW IT WORKS ATR measures range; its ROC measures whether ranges are expanding or contracting. Volume ROC (applied to the range of volume over N bars) measures whether participation is surging or fading. The advance/decline gradient (credit: LucF) tracks consecutive advances and declines relative to their historical max, mapping the ratio to color transparency. Strong sustained moves are vivid; weak or choppy moves are faded. ALERTS Two alert modes: - Vol Breakout: ATR ROC exceeds 233-bar high (fewest signals, highest conviction) - Std Dev Spike: ATR ROC exceeds its standard deviation band (more frequent) Bar direction determines LONG or SHORT. Full bar filter applies to both modes. Alert payload is built into the script; works with any webhook receiver. CREDITS Advance/Decline Gradient function: LucF
Pine Script® 인디케이터
HYPR-run의
FluxPulse Momentum [JOAT]FluxPulse Momentum - Adaptive Multi-Component Oscillator FluxPulse Momentum is a composite oscillator that blends three distinct momentum components into a single, smoothed signal line. Rather than relying on a single indicator, it synthesizes adaptive RSI, normalized rate of change, and a Kaufman-style efficiency ratio to provide a multi-dimensional view of momentum. What This Indicator Does Combines RSI, Rate of Change (ROC), and Efficiency Ratio into one weighted composite Applies EMA smoothing to reduce noise while preserving responsiveness Displays overbought/oversold zones with optional background highlighting Generates buy/sell signals when the oscillator crosses its signal line in favorable zones Provides a real-time dashboard showing current state, momentum direction, and efficiency Core Components Adaptive RSI (50% weight) — Standard RSI calculation normalized around the 50 level Normalized ROC (30% weight) — Rate of change scaled relative to its recent maximum range Efficiency Ratio (20% weight) — Measures directional movement efficiency, inspired by Kaufman's adaptive concepts The final composite is smoothed twice using EMA to create both a fast line and a signal line. Signal Logic // Buy signal: crossover in lower half buySignal = ta.crossover(qmo, qmoSmooth) and qmo < 50 // Sell signal: crossunder in upper half sellSignal = ta.crossunder(qmo, qmoSmooth) and qmo > 50 Signals are generated only when the oscillator is positioned favorably—buy signals occur below the 50 midline, sell signals occur above it. Dashboard Information The on-chart table displays: Current oscillator value with gradient coloring Momentum state (Overbought, Oversold, Bullish, Bearish, Neutral) Momentum direction and acceleration Efficiency ratio percentage Active signal status Inputs Overview RSI Length — Period for RSI calculation (default: 14) ROC Length — Period for rate of change (default: 10) Smoothing Length — EMA smoothing period (default: 3) Overbought/Oversold Levels — Threshold levels for zone detection Await Bar Confirmation — Wait for bar close before triggering alerts How to Use It Watch for crossovers between the main line and signal line Use overbought/oversold zones to identify potential reversal areas Monitor the histogram for momentum acceleration or deceleration Combine with price action analysis for confirmation Alerts Buy Signal — Bullish crossover in the lower zone Sell Signal — Bearish crossunder in the upper zone Overbought/Oversold Crosses — Level threshold crossings This indicator is provided for educational purposes. It does not constitute financial advice. Always conduct your own analysis before making trading decisions. — Made with passion by officialjackofalltrades
Pine Script® 인디케이터
officialjackofalltrades의
Adaptive Momentum Pressure (AMP)🔹 Adaptive Momentum Pressure (AMP) A hybrid momentum oscillator that adapts to volatility and trend dynamics. AMP measures the rate of change of price pressure and automatically adjusts its sensitivity based on market volatility. It reacts faster in trending markets and smooths out noise during consolidation — helping traders identify genuine momentum shifts early while avoiding whipsaws. 🧠 Core Concept AMP fuses three elements into one adaptive momentum model: Normalized Momentum (ROC) – captures directional acceleration of price. Adaptive Smoothing – the smoothing length dynamically contracts when volatility rises and expands when it falls. Directional Bias – derived from the short-term EMA slope to weight momentum toward the prevailing trend. Combined, these form a pressure value oscillating between –100 and +100, revealing when momentum expands or fades. ⚙️ How It Works Calculates a normalized rate of change (ROC) relative to recent volatility. Adjusts its effective length using the ATR — more volatile periods shorten the lookback for quicker reaction. Applies a custom EMA that adapts in real time. Modulates momentum by a normalized EMA slope (“trend bias”). Produces a smoothed AMP line with a Signal line and crossover markers. 🔍 How to Read It Green AMP line rising above Signal → Building bullish momentum. Red AMP line falling below Signal → Fading or bearish momentum. White Signal line = smoothed confirmation of trend energy. Green dots = early bullish crossovers. Red dots = early bearish crossovers. Typical interpretations: AMP crossing above 0 from below → early bullish impulse. AMP peaking near +50–100 and curling down → potential momentum exhaustion. Crosses below 0 with red pressure → bearish confirmation. ⚡ Advantages ✅ Adaptive across all markets and timeframes ✅ Built-in trend bias filters false signals ✅ Reacts earlier than RSI/MACD while reducing noise ✅ No manual retuning required 🧩 Suggested Use Combine with structure or volume tools to confirm breakouts. Works well as a momentum confirmation filter for entries/exits. Optimal display: separate oscillator pane (not overlay). Use it responsibly — AMP is an analytical tool, not financial advice.
Pine Script® 인디케이터
Cryptobingbong의
Period Range AnalyzerThis indicator analyzes a specific periodic range, which can start from a fixed date or a defined lookback period. It draws percentage levels and colored zones between the highest and lowest price. It also displays a detailed information table, which shows the price's position within the range in "Trend" mode, and the relative strength of currency pairs in "Forex" mode. The current price position is also indicated by a label with a percentage value and the name of the corresponding zone. User Guide Calculation Method This setting determines how the indicator defines the range used for the calculation. Lookback Period: In this mode, the indicator uses the last N candles (the number can be specified in the "Lookback Period (bars)" field). The range (the highest and lowest price) is "floating," meaning it is recalculated with each new candle based on the last N candles. Date Based: In this mode, the calculation starts from a fixed date and time you select. The indicator finds the opening price of the start date and continuously tracks the highest and lowest price from that point on. This mode is ideal for measuring performance from a specific event (e.g., start of a week/month/year, news). Data Handling Note: If you select a date in "Date Based" mode for which no data is available on the current timeframe (e.g., switching to a very low timeframe), the indicator will automatically use the earliest available candle as the starting point. All calculations (Open, Max, Min, Range, Percentage, Change, Trend) are based on this actual start date. Start Date & Time This setting is only active in "Date Based" mode. Here you can specify the fixed starting point for the calculation. The specified time is in the Exchange timezone. Important limitation: Due to TradingView platform limits, visual elements (levels, zones) are only drawn for a maximum of 250 candles back. If the set date is older than this, the calculation still applies to the entire period (from the set date), but the drawing only covers the last 250 candles. The table always displays accurate data for the entire period. When switching to a higher timeframe, the range may restart from a slightly later bar due to TradingView's bar alignment. For best accuracy, set your timeframe first, then select the start date. Table Mode This setting controls what data the information table displays. Trend: This is the default mode, which works on any symbol (stock, index, crypto, etc.). It displays information related to the trend and the range. Forex: This is a special mode used to measure the strength of currency and crypto pairs. It only works on symbols with exactly 6 characters (e.g., "EURUSD", "BTCUSD"). It treats the first 3 characters as the base currency (e.g., EUR) and the last 3 as the quote currency (e.g., USD). If the symbol does not have 6 characters, the table will automatically display in "Trend" mode. Trend This trend determination operates based on the formation order of the high and low within the analyzed range: Its switch is located in the “Table Additional Rows” menu. Bullish: Indicated if the low was formed before the high (on different candles). Or if they formed on the same candle, it was a bullish candle. Bearish: Indicated if the high was formed before the low (on different candles). Or if they formed on the same candle, it was a bearish candle. Neutral: Indicated if the high and low formed on the same candle, and it was a "doji" candle (close = open). Upper & Lower Threshold These settings (Upper Threshold (%) and Lower Threshold (%) in the "Label Coloring" section) primarily determine the state (Bullish/Bearish/Neutral) of the top row of the table. The logic is not based on the percentage change of the price movement, but on the current price's position within the range, where the bottom of the range is 0% and the top is 100%. Upper Threshold (%): The percentage level (e.g., 60.0) above which the indicator considers the price position "Bullish" (or "Strong"). Lower Threshold (%): The percentage level (e.g., 40.0) below which the indicator considers the price position "Bearish" (or "Weak"). If the price is between the two (e.g., between 40% and 60%), the signal is Neutral. Secondary function: These thresholds also control the color of the label next to the price, provided the "Dynamic Label Coloring" option is enabled.
Pine Script® 인디케이터
nzsolti18의
Daily Percent Change LabelDaily Percent Change Label Overview This Pine Script displays the percentage change from the previous day's closing price as a text label near the current price level on the chart. It works seamlessly across any timeframe (daily, hourly, minute charts) by referencing the daily chart's previous close, making it perfect for traders tracking daily performance. The label is displayed with a semi-transparent background (green for positive changes, red for negative changes) and white text, ensuring a clean and readable appearance. Features Accurate Daily Percent Change: Calculates the percentage change based on the previous day's closing price, even on intraday timeframes (e.g., 1-hour, 5-minute). Dynamic Label: Shows the percentage change as a label aligned with the current price, updating in real-time. Color-Coded Background: Semi-transparent green background for positive changes and red for negative changes. Customizable: Adjust label position, size, color, and style to fit your preferences. Minimal Impact: No additional plots or graphs, keeping the chart uncluttered. How to Use Add the Script: Copy and paste the script into the Pine Editor in TradingView. Click "Add to Chart" to apply it. Check the Output: A text label (e.g., "+2.34%" or "-1.56%") appears near the current price with a semi-transparent background. The label is colored green (positive) or red (negative) and updates in real-time. Switch Timeframes: Works on any timeframe. The percentage change is always calculated relative to the previous day's close. Customization Options Modify the label.new function to customize the label: Label Position: Change style=label.style_label_left to label.style_label_right or label.style_label_down to adjust label placement. Adjust bar_index with an offset (e.g., bar_index + 1) to move the label horizontally. Text Color: Modify textcolor=color.white to another color (e.g., color.rgb(255, 255, 0) for yellow). Background Color: Adjust color=percent_change >= 0 ? color.new(color.green, 50) : color.new(color.red, 50) to change transparency (e.g., color.new(color.green, 0) for no transparency). Text Size: Change size=size.normal to size.small or size.large for smaller or larger text. Code Details Timeframe Handling: Uses request.security with the "D" timeframe to fetch the previous day's closing price, ensuring accuracy on intraday charts. Performance: Updates only on the last bar (barstate.islast) for optimal performance. Dynamic Styling: Background color changes based on the direction of the price change. Notes The label is positioned near the current price for easy reference. To move it closer to the Y-axis, adjust the bar_index offset. For different reference points (e.g., weekly close), modify the request.security timeframe (e.g., "W" for weekly). Ensure the script is copied correctly without extra spaces or characters. Use a plain text editor (e.g., Notepad) for copying. Feedback Please share your feedback or customizations in the comments! If you find this script helpful, give it a thumbs-up or let others know how you're using it. Happy trading!
Pine Script® 인디케이터
WayofSteps의
1
Custom Performance TableThis script generates a table designed to provide a concise yet highly customizable overview of the performance of multiple financial instruments, displayed directly on the chart. The table can include up to 40 tickers, each individually configurable, with values updated in real time based on either the current chart timeframe or a specific user-selected timeframe. NOTE : The update frequency of the table values depends on the refresh rate of the chart's main ticker to which the indicator is applied. To ensure a consistent and reliable data feed, especially when monitoring heterogeneous instruments, it is recommended to apply the indicator to a highly liquid and continuously traded asset, such as BTCUSD. PERFORMANCE CALCULATION MODES You can choose from three different performance calculation modes: 1) Change % (Percentage Change) Displays the percentage change of the current price compared to the previous candle within the selected timeframe. (Current Price - Previous Price) / Previous Price * 100 This mode provides an immediate and straightforward measure of each instrument's percentage movement, useful for quick visual comparisons of relative strength among assets. 2) Z-Score The Z-Score measures how much the current price variation deviates from the historical average variation, relative to the standard deviation of those variations. (Current Variation - Average Variation) / Standard Deviation of Variations The result indicates how statistically unusual a movement is: - Values near 0 suggest normal variations. - Values above ±2 indicate statistically significant deviations. This is a valuable tool for identifying overbought/oversold conditions or market stress events and is often used in mean reversion strategies. NOTE : Due to technical constraints, Z-Score can only be calculated when the selected timeframe matches the chart's timeframe exactly. 3) RAROC (Risk-Adjusted Return on Capital) RAROC expresses an asset's performance in relation to the risk taken, measured through its volatility (standard deviation of price). Percentage Change / Standard Deviation of Price It allows for an assessment of return efficiency in relation to volatility. A high RAROC value indicates a high return relative to the risk, making it a useful tool for comparing assets with different risk profiles. It is especially suitable for portfolio selection and allocation purposes. TABLE CONFIGURATION Each ticker can be customized with its own label, colors, and position in the table. Each row can display the ticker name or a custom label, which, at the user's discretion, can either replace the name or be shown as an informational tooltip. The table can be placed anywhere on the chart using horizontal and vertical offset parameters. Thanks to offset support, you can, for example, create financial market overview layouts. This can be done by completely “cleaning” the chart from price and indicators using TradingView settings, and then displaying multiple tables simultaneously (see the example chart published here). Advanced customization options are also available for the table's appearance, including font settings, colors, borders, and more. CALCULATION TIMEFRAME The indicator allows the user to force a specific timeframe (Daily, Weekly, Monthly, Yearly) when applied to intraday charts. However, for Z-Score mode, the selected timeframe must match the chart's timeframe exactly to ensure correct computation. Otherwise, the script will halt until settings are properly adjusted. USAGE NOTES Custom Performance Table is a flexible and adaptable tool, suitable for both intraday operations and medium- to long-term analysis. It is designed for traders and analysts who need to compare assets based on quantitative metrics, whether simple (like percentage change) or more advanced and risk-adjusted (such as Z-Score and RAROC).
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valpatrad의
2
Half Causal EstimatorOverview The Half Causal Estimator is a specialized filtering method that provides responsive averages of market variables (volume, true range, or price change) with significantly reduced time delay compared to traditional moving averages. It employs a hybrid approach that leverages both historical data and time-of-day patterns to create a timely representation of market activity while maintaining smooth output. Core Concept Traditional moving averages suffer from time lag, which can delay signals and reduce their effectiveness for real-time decision making. The Half Causal Estimator addresses this limitation by using a non-causal filtering method that incorporates recent historical data (the causal component) alongside expected future behavior based on time-of-day patterns (the non-causal component). This dual approach allows the filter to respond more quickly to changing market conditions while maintaining smoothness. The name "Half Causal" refers to this hybrid methodology—half of the data window comes from actual historical observations, while the other half is derived from time-of-day patterns observed over multiple days. By incorporating these "future" values from past patterns, the estimator can reduce the inherent lag present in traditional moving averages. How It Works The indicator operates through several coordinated steps. First, it stores and organizes market data by specific times of day (minutes/hours). Then it builds a profile of typical behavior for each time period. For calculations, it creates a filtering window where half consists of recent actual data and half consists of expected future values based on historical time-of-day patterns. Finally, it applies a kernel-based smoothing function to weight the values in this composite window. This approach is particularly effective because market variables like volume, true range, and price changes tend to follow recognizable intraday patterns (they are positive values without DC components). By leveraging these patterns, the indicator doesn't try to predict future values in the traditional sense, but rather incorporates the average historical behavior at those future times into the current estimate. The benefit of using this "average future data" approach is that it counteracts the lag inherent in traditional moving averages. In a standard moving average, recent price action is underweighted because older data points hold equal influence. By incorporating time-of-day averages for future periods, the Half Causal Estimator essentially shifts the center of the filter window closer to the current bar, resulting in more timely outputs while maintaining smoothing benefits. Understanding Kernel Smoothing At the heart of the Half Causal Estimator is kernel smoothing, a statistical technique that creates weighted averages where points closer to the center receive higher weights. This approach offers several advantages over simple moving averages. Unlike simple moving averages that weight all points equally, kernel smoothing applies a mathematically defined weight distribution. The weighting function helps minimize the impact of outliers and random fluctuations. Additionally, by adjusting the kernel width parameter, users can fine-tune the balance between responsiveness and smoothness. The indicator supports three kernel types. The Gaussian kernel uses a bell-shaped distribution that weights central points heavily while still considering distant points. The Epanechnikov kernel employs a parabolic function that provides efficient noise reduction with a finite support range. The Triangular kernel applies a linear weighting that decreases uniformly from center to edges. These kernel functions provide the mathematical foundation for how the filter processes the combined window of past and "future" data points. Applicable Data Sources The indicator can be applied to three different data sources: volume (the trading volume of the security), true range (expressed as a percentage, measuring volatility), and change (the absolute percentage change from one closing price to the next). Each of these variables shares the characteristic of being consistently positive and exhibiting cyclical intraday patterns, making them ideal candidates for this filtering approach. Practical Applications The Half Causal Estimator excels in scenarios where timely information is crucial. It helps in identifying volume climaxes or diminishing volume trends earlier than conventional indicators. It can detect changes in volatility patterns with reduced lag. The indicator is also useful for recognizing shifts in price momentum before they become obvious in price action, and providing smoother data for algorithmic trading systems that require reduced noise without sacrificing timeliness. When volatility or volume spikes occur, conventional moving averages typically lag behind, potentially causing missed opportunities or delayed responses. The Half Causal Estimator produces signals that align more closely with actual market turns. Technical Implementation The implementation of the Half Causal Estimator involves several technical components working together. Data collection and organization is the first step—the indicator maintains a data structure that organizes market data by specific times of day. This creates a historical record of how volume, true range, or price change typically behaves at each minute/hour of the trading day. For each calculation, the indicator constructs a composite window consisting of recent actual data points from the current session (the causal half) and historical averages for upcoming time periods from previous sessions (the non-causal half). The selected kernel function is then applied to this composite window, creating a weighted average where points closer to the center receive higher weights according to the mathematical properties of the chosen kernel. Finally, the kernel weights are normalized to ensure the output maintains proper scaling regardless of the kernel type or width parameter. This framework enables the indicator to leverage the predictable time-of-day components in market data without trying to predict specific future values. Instead, it uses average historical patterns to reduce lag while maintaining the statistical benefits of smoothing techniques. Configuration Options The indicator provides several customization options. The data period setting determines the number of days of observations to store (0 uses all available data). Filter length controls the number of historical data points for the filter (total window size is length × 2 - 1). Filter width adjusts the width of the kernel function. Users can also select between Gaussian, Epanechnikov, and Triangular kernel functions, and customize visual settings such as colors and line width. These parameters allow for fine-tuning the balance between responsiveness and smoothness based on individual trading preferences and the specific characteristics of the traded instrument. Limitations The indicator requires minute-based intraday timeframes, securities with volume data (when using volume as the source), and sufficient historical data to establish time-of-day patterns. Conclusion The Half Causal Estimator represents an innovative approach to technical analysis that addresses one of the fundamental limitations of traditional indicators: time lag. By incorporating time-of-day patterns into its calculations, it provides a more timely representation of market variables while maintaining the noise-reduction benefits of smoothing. This makes it a valuable tool for traders who need to make decisions based on real-time information about volume, volatility, or price changes.
Pine Script® 인디케이터
The_Peaceful_Lizard의
14
Percent Change HistogramThis indicator shows you percent changes in a super visual way using a color-coded histogram. Here's how the colors work: 🟩 Dark green = percent change is growing stronger 🟢 Light green = still positive but losing steam 🟥 Dark red = getting more negative 🔴 Light red = negative but improving The cool part? You can set any lookback period you want. For example: 24 periods on 1H chart = last 24 hours 30 periods on daily = last month 7 periods on daily = last week Pro tip: You're not locked to your chart's timeframe! Want to see monthly changes while trading on 5min? No problem. You can even stack multiple indicators to watch different intervals simultaneously (daily, weekly, monthly) - super helpful for multi-timeframe analysis. Perfect for spotting momentum shifts across different timeframes without switching between charts.
Pine Script® 인디케이터
strimaitis의
Weekly Stacked Daily Changes [LuxAlgo]The Weekly Stacked Daily Changes tool allows traders to compare daily net price changes for each day of the week, stacked by week. It provides a very convenient way to compare daily and weekly volatility at the same time. 🔶 USAGE The tool requires no configuration and works perfectly out of the box, displaying the net price change for each day of the week as stacked boxes of the appropriate size. Traders can adjust the width of the columns and the spacing between days and weeks, options to change the color and disable the months and new month lines are also available. 🔹 Bottom Stack Bias This feature allows traders to compare weekly volatility in two different ways. With this feature disabled, all weeks use zero as the bottom of the stack, so traders can see at a glance weeks with more volatility and weeks with less volatility. Enabling this feature will cause the tool to display the stacks with the weekly net price change as the bottom, so if a stack starts below the zero line it means that week has a negative net return, and if it starts above the zero line it means that week has a positive net return. 🔶 SETTINGS Width: Select the fixed width for each column. Offset: Choose the fixed width between each column. Spacing: Select the distance between each day within each column. 🔹 Style Bottom Stack Bias: Use weekly net price change as the bottom of the stack. Bullish Change: Color for days with positive net price change Bearish Change: Color for days with negative net price change Show Months: Under each week stack, display the month Show Months Delimiter: Display a line indicating the start of a new month
Pine Script® 인디케이터
LuxAlgo의
5
Average Bullish & Bearish Percentage ChangeAverage Bullish & Bearish Percentage Change Processes two key aspects of directional market movements relative to price levels. Unlike traditional momentum tools, it separately calculates the average of positive and negative percentage changes in price using user-defined independent counts of actual past bullish and bearish candles. This approach delivers comprehensive and precise view of average percentage changes. FEATURES: Count-Based Averages: Separate averaging of bullish and bearish %𝜟 based on their respective number of occurrences ensures reliable and precise momentum calculations. Customizable Averaging: User-defined number of candle count sets number of past bullish and bearish candles used in independent averaging. Two Methods of Candle Metrics: 1. Net Move: Focuses on the body range of the candle, emphasizing the net directional movement. 2. Full Capacity: Incorporates wicks and gaps to capture full potential of the bar. The indicator classifies Doji candles contextually, ensuring they are appropriately factored into the bullish or bearish metrics to avoid mistakes in calculation: 1. Standard Doji - open equals close. 2. Flat Close Doji - Candles where the close matches the previous close. Timeframe Flexibility: The indicator can be applied across any desired timeframe, allowing for seamless multi-timeframe analysis. HOW TO USE Select Method of Bar Metrics: Net Move: For analyzing markets where price changes are consistent and bars are close to each other. Full Capacity: Incorporates wicks and gaps, providing relevant figures for markets like stocks Set the number of past candles to average: 🟩 Average Past Bullish Candles (Default: 10) 🟥 Average Past Bullish Candles (Default: 10) Why Percentage Change Is Important Standardized Measurement Across Assets: Percentage change normalizes price movements, making it easier to compare different assets with varying price levels. For example, a $1 move in a $10 stock is significant, but the same $1 move in a $1,000 stock is negligible. Highlights Relative Impact: By measuring the price change as a percentage of the close, traders can better understand the relative impact of a move on the asset’s overall value. Volatility Insights: A high percentage change indicates heightened volatility, which can be a signal of potential opportunities or risks, making it more actionable than raw price changes. Percents directly reflect the strength of buying or selling pressure, providing a clearer view of momentum compared to raw price moves, which may not account for the relative size of the move. By focusing on percentage change, this indicator provides a normalized, actionable, and insightful measure of market momentum, which is critical for comparing, analyzing, and acting on price movements across various assets and conditions.
Pine Script® 인디케이터
fract의
6
Relative Range at Time/ Relative volatility / High−Low This script is designed to help you compare the size of the current price candle (the difference between the highest and lowest prices in a given time period) to the average size of the last several candles. It does this by calculating the average range of a certain number of previous candles (you can set how many with the "Length" input) and then dividing the current candle's range by this average. The result is plotted on the chart as a bar: if the current candle's range is larger than the average, the bar is green; if it's smaller, the bar is red. A horizontal line is also drawn at the value of 1, so you can easily see whether the current candle's range is above or below the average. If there’s an issue with the data, the script will show an error message to let you know.
Pine Script® 인디케이터
Mohamed_Afawi의
3
Learning Understanding ta.change//First script I have published. Constructive criticism is welcome. // I hope this may be helpful to you. // Initially, I did this for myself as I was getting some odd results from the ta.change function. Turns out it was my error LOL. What a surprise! // Typical syntax: ta.change(source, value) // value doesn't need to be included. If it isn't, it will only calculate the change between the last and current value. // Conclusion. ta.change simply calculates the difference between a previous value/candle and the latest value/candle current value in that series. Positive number states that the recent is higher. // Bonus :-) Function on line 34 outputs the changes in a positive figure (so as to be able to sum the changes/volatility of the series of values)
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TBAjustTBA의
1
Stock Data Table█  OVERVIEW This is a table that shows some information about stocks. It is divided into four sections:  1) Correlation  2) Shares  3) Daily Data  4) Extended Session Data The table is completely modular, which means you can add or remove each element from the settings menu, and it will automatically rearrange its spaces. It is also highly customizable, to the extent that you can change almost any color, remove or change titles, invert section rows, and much more. 1) Correlation The script checks if the stock is listed on NASDAQ, and if so, uses the QQQ (Nasdaq-100 ETF) as the reference index in the first cell; otherwise, it uses the SPY (S&P 500 ETF). The length of the correlation is shown in the second cell. The table then displays the correlation between the reference index and the other index, and the correlation between the reference index and the stock. To make it easier to interpret the correlation values, each row's last cell is color-coded with a gradient to highlight the type of correlation, and the direction of the gradient can be customized. The correlation coefficient is a statistical measure that quantifies the strength and direction of the relationship between two variables, indicating how changes in one variable are associated with changes in the other variable, so it can be used to identify patterns and trends. If you are interested in correlation, I suggest taking a look at my dedicated indicator: 2) Shares This feature provides you with quick access to key information about shares and market capitalization. On one row, you can view the total shares outstanding and the market capitalization for the fiscal year or the quarterly year. The total shares outstanding represents the total number of shares of the stock that have been issued and are currently outstanding, regardless of whether they are held by insiders or public investors. The market capitalization is a widely used measure of the company's value as determined by the stock market, calculated by multiplying its current stock price with the total number of outstanding shares. The other row shows the float, which is the number of shares of a company that are available for public trading, and the corresponding free-float market cap, calculated by multiplying the company's current stock price with the float. Because Pine Script does not allow retrieving information about quarterly year float, you can view the float and the free-float market cap of the fiscal year only. The data can be displayed at all times or only when the difference between the total shares outstanding and the float is significant enough to result in a difference between the market cap and free-float market cap. The classification for market cap and free-float market cap is set in this way: Mega Cap: $200 billion or more Large Cap: between $10 billion and $200 billion Mid Cap: between $2 billion and $10 billion Small Cap: between $300 million and $2 billion Micro Cap: less than $300 million Penny Stocks: less than $5 (customizable) Comparing the free-float market cap to the market cap can provide insights into the liquidity of a stock. In fact, if the float is relatively small compared to the total shares outstanding, it may be more difficult to find buyers or sellers, which could lead to increased volatility. On the other hand, a larger float indicates that the stock is more liquid and may be easier to trade, potentially resulting in lower volatility. However, market conditions can change quickly and significantly, especially for intraday traders, and the free-float can also change as insiders or other large shareholders buy or sell shares. Therefore, comparing the data of the fiscal year with that of the quarterly year may not provide the most up-to-date and accurate information for making trading decisions. This limitation can be mitigated by combining those data with other indicators and tools, such as technical analysis or news events, to gain a better understand of the stock's performance and potential trading opportunities. 3) Daily Data This section is available on daily charts only due to the lack of accuracy of real-time daily data on other time frames. Here, you can view the Average Daily Volume (ADV) over a preferred time range (20 days by default), and the Daily Change, which represents the percentage difference between the closing price on two consecutive trading days. ADV is useful in measuring the stock's volatility, as it provides an indication of how much trading activity there is in it. Generally speaking, stocks with higher trading volume tend to be less volatile than stocks with lower trading volume. High trading volume means there are more buyers and sellers actively trading the stock, which makes it easier for investors to buy and sell shares at fair prices. This increased liquidity can help to stabilize the stock price, reducing the potential for large swings in either direction. On the other hand, stocks with lower trading volume may experience greater volatility, as there are fewer buyers and sellers actively trading the stock. This can result in larger price swings, as it may be more difficult for investors to buy or sell shares at fair prices. The daily percentage change can provide an indication of the stock's volatility, with larger values indicating greater volatility and risk. It can also be compared to that of a benchmark such an index or other stocks in the same sector, helping to determine whether the stock is outperforming or underperforming relative to them. 4) Extended Session Data The fourth section is available on intraday charts only. This section provides two pieces of information: the Extended Session Change and the Pre-Market Volume. The Extended Session Change indicates the percentage difference between the previous day's closing price and the latest price in the extended session. This gives you the extent and the direction of the price gap that occurred during extended trading hours. The Pre-Market Volume shows the sum of all shares traded during the pre-market session. This can be helpful in understanding how much interest the stock gained before the market opened. By default, the two rows will be visible at all times. They will stop updating after the end of their respective time range, and resume updating when it starts again. However, you can choose to automatically hide them outside of their time ranges. Both the extended session and pre-market time ranges can be customized. Please note that if you select time ranges outside of the regular market session (as set by default), you must enable the extended session to view the corresponding rows. █  GENERAL NOTES  • Total Shares Outstanding, Float, Average Daily Volume and Pre-Market Volume cells use a customizable color system based on two thresholds, to help you quickly identify whether the value is "too low/acceptable/too high" or "too low/not enough high/acceptable".  • If you cannot see certain data, that simply means it is not available.
Pine Script® 인디케이터
valpatrad의
7
change in rsiThis indicator will show how fast the rsi of a symbol is changing. you can see this as a differentiation function on rsi . this will show the change in rsi in percentage. Ex: suppose the rsi of a symbol at present is 60 and the previous value of rsi was 52, as you can see the rsi has increased, which is a sign of the symbol being bullish . this indicator will tell by what percentage the rsi of the symbol has increased or decreased. for the above example, the change in rsi is 15.38% increase. this is set to default chart time-frame.
Pine Script® 인디케이터
bala357의
BTC Pair Change %This script makes it easier to quickly check how the BTC pair of the current symbol is performing on any pair. It adds a " change percentage widge t" (of the  BTC pair ) to the top right of the chart. (Refer to the image for an example.) The change percentage calculation is performed as described here: www.tradingview.com To match the "Chg%" that appears on TradingView watchlists, a 24H (1440min) timeframe is used, as described here: money.stackexchange.com In short, this script: Searches for the BTC pair of the current symbol Calculates the change % using the above described logic (links) Adds a " change percentage widget " (of the BTC pair) to the top right of the chart Allows for using 24H timeframe or the current timeframe (enable " Use current timeframe " under the script options)
Pine Script® 인디케이터
backslash-f의
Percent ResearchPercent Research is an indicator that will plot a color / column on the chart in case custom requirements are met. The requirements are: - Price : Price requirement (equal or above input). - Change % Up : Amount the price have moved up in percent (equal or above input). - Change % Down : Amount the price have moved down in percent (equal or below input). - Change Interval : Amount of bars the above move happened over. - Volume : Volume requirement (equal or above input). - Volume Interval : Amount of bars in a row that each require the above volume. Example: In case one wants to plot whenever price has made a 20 percent move up or down in a week with minimum 100 000 volume for each of the last 2 days one can use. Change % Up: 20 Change % Down: -20 Change Interval: 5 Volume: 100 000 Volume Interval: 2 The indicator will plot a color on the chart whenever the requirements are met, which then can be used to look into price action for each colored time period. The values can be customized dependent on preference, example 100% movers over a month or 20% movers over a week etc.
Pine Script® 인디케이터
StockLeave의
Adaptive Fisherized ROCIntroduction Hello community, here I applied the Inverse Fisher Transform, Ehlers dominant cycle determination and smoothing methods on a simple Rate of Change (ROC) indicator You have a lot of options to adjust the indicator. Usage The rate of change is most often used to measure the change in a security's price over time. That's why it is a momentum indicator. When it is positive, prices are accelerating upward; when negative, downward. It is useable on every timeframe and could be a potential filter for you your trading system. IMO it could help you to confirm entries or find exits (e.g. you have a long open, roc goes negative, you exit). If you use a trend-following strategy, you could maybe look out for red zones in an in uptrend or green zones in a downtrend to confirm your entry on a pullback. Signals ROC above 0 => confirms bullish trend ROC below 0 => confirms bearish trend ROC hovers near 0 => price is consolidating Enjoy! 🚀
Pine Script® 인디케이터
simwai의
DB Change Forecast ProDB Change Forecast Pro What does the indicator do? The DB Change Forecast Pro is a unique indicator that uses price change on HLC3 to detect buy and sell periods along with plotting a linear regression price channel with oversold and undersold zones. It also has a linear regression change forecast mode to optionally project market direction. Change is calculated by taking a two-bar change of HLC3 and dividing that by the price or, optionally, a fixed divisor. A fast-moving change cloud is then calculated and displayed as the "regular version" plot (shown in light gray). When the cloud bottom is above low, a buy zone is detected. When the cloud top is below the high, a sell zone is detected. The linear regression price channel is calculated similarly but using a much slower change rate. The linear regression price channel shows reasonable high, low and HLC3 ranges. At the bar's opening, the channel will be more compact and come fairly accurate about 1/4 into the bar timeframe. The change forecasted price is projected on the right side of the current bar to indicate the current timeframe direction. Please note this forecasting feature is shown in orange when it's early in the timeframe and gray when the timeframe is more likely to produce an accurate direction forecast for the upcoming bar. You can use these projected dashed lines to see possible market movements for the Current bar and possible market direction for the next bar. Kindly note these projects change; they should be used to understand possible extreme highs/lows for the current bar or market direction. The indicator includes an optional change forecast projection feature hidden by default. It will project the market forecast channel with an offset of 1. The forecast is defaulted to an offset of 1 to show market direction. However, you can modify to zero the offset to show the current bar forecast and forecast history. How should this indicator be used? First, very important, 1. Settings > Set Symbol to Desired 2. Settings > Set High Timeframe to "Chart" 3. Settings > Ensure "Use price as divisor" is checked. It's recommended to use this indicator in higher timeframes. Buy and sell signals are displayed in real-time. However, waiting until 1/4 to 1/2 into the current bar is recommended before taking action, and change can happen. The buy/sell signals (zones) provide recommendations on playing a long vs. a short. When in a buy sone, only play longs. When in a sell zone, only play shorts. Then use the linear regression price channel oversold and undersold zones to optionally open and close positions within the buy/sell zones. For example, consider opening a long in a buy zone when the linear regression price channel shows undersold. Then consider closing the long when the price moves into the linear regression oversold or higher. Then repeat as long as it's in the buy zone. Then vice versa for sell zones and shorting. At basic design, buy in the buy zone, sell or short in the sell zone. If you are up for higher trading frequencies, use the linear regression price channel as described in the example above. Please note, as, with all indicators, you may need to adjust to fit the indicator to your symbol and desired timeframe. This is only an example of use. Please use this indicator as your own risk and after doing your due diligence. Does the indicator include any alerts? Yes, "DB CFHLC3: Signal BUY" - Is triggered when a buy signal is fired. "DB CFHLC3: Signal SELL" - Is triggered when a sell signal is fired. "DB CFHLC3: Zone BUY" - Is triggered when a buy zone is detected. "DB CFHLC3: Zeon SELL" - Is triggered when a sell zone is detected. "DB CFHLC3: Oversold SELL" - Is triggered when the price exceeds the oversold level. "DB CFHLC3: Undersold BUY" - Is triggered when the price goes below the undersold level. Any other tips? Once you have configured the indicator for your symbol and chart timeframe. Meaning the plots are displayed over the price. Check out larger timeframes such as W, 2W, 3W, 4W, M, and 4M. It works wonderfully for showing market lows and highs for long-term investing too! Another, tip is to combine it with your favorite indicator, such as TTM Squeeze or MACD for confirmation purposes. You may be surprised how fast the indicator shows market direction changes on higher timeframes. You can just as easily use a high timeframe such as D, 2D, or 3D for day trading due to how the linear price channel works. Why am I not selling this indicator? I would like to bless the TradingView community, and I enjoy publishing custom indicators. If you enjoy this indicator, please consider leaving a thumbs up or a comment for others to know about your experience or recommendations. Enjoy!
Pine Script® 인디케이터
thefluffyones의
17