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DeltaFlow Volume Profile [BigBeluga]🔵 OVERVIEW The DeltaFlow Volume Profile builds a compact volume profile next to price and enriches every bin with flow context : bullish vs. bearish participation (%), a per-bin Delta % , an optional Delta Heat Map , and a PoC band with the bin’s absolute volume. This lets you see not just where volume clustered, but who (buyers or sellers) dominated inside each price slice. 🔵 CONCEPTS Binned Volume Profile : Price range over a user-defined LookBack is split into Bins ; each bin aggregates traded volume. Bull/Bear Split : Within every bin, volume is separated by candle direction into Bull Volume and Bear Volume , then normalized to % of the bin’s displayed size. Delta % : The difference between Bull % and Bear % for the bin. Positive = buyer dominance; negative = seller dominance. Delta Heat Map : Bin background shading that scales with both total volume strength and delta bias. PoC (Point of Control) : The most significant bin gets a PoC band and a label with its absolute volume. 🔵 FEATURES Profile with Flow : A clean horizontal volume bar per bin plus stacked Bull % and Bear % . Per-Bin Delta Label : A readable “Δ xx%” tag at the start of each bin shows dominance at a glance. Delta Heat Map : Optional gradient that intensifies with higher volume and stronger delta. PoC Highlight : Optional PoC band colored separately, labeled with absolute volume (e.g., “1.23M”). Configurable Inputs : LookBack, number of Bins (10–100), toggles for Delta, Heat Map, Volume Bars, and PoC color. Readable Colors : Separate inputs for bullish (volume +) and bearish (volume –) hues. 🔵 HOW TO USE Set the window : Choose LookBack and Bins to balance detail vs. performance (more bins = finer resolution). Enable “Volume Bars” to display the bull/bear split as two stacked percent bars inside each bin. High Bull % near support → constructive demand. High Bear % near resistance → active supply. Use Δ labels (toggle “Delta”) to quickly spot bins with clear buyer/seller control; combine with price position for confluence. Turn on Delta Heat Map to prioritize areas with both large volume and strong imbalance. Watch the PoC : The PoC band marks the most traded (and often magnet) level; its label shows absolute size for context. Trade ideas : Breakout continuation when Δ stays positive across consecutive upper bins. Reversion risk when price enters a large bearish-Δ cluster below. Manage risk around the PoC; reactions there can be sharp. 🔵 CONCLUSION DeltaFlow Volume Profile upgrades a classic profile with flow intelligence. The bull/bear split, explicit Δ %, heat-weighted backdrop, and PoC volume label make dominant participation and key price shelves obvious. Use it to filter levels, time entries with imbalance, and validate breakouts or fades with objective volume-flow evidence.
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BigBeluga tarafından
6
Liquidity Pro Map [ChartPrime]⯁ OVERVIEW Liquidity Pro Map is a market-structure tool that simulates liquidity distribution by splitting price history into buy-side and sell-side profiles. Using candle volume and the standard deviation of close, the indicator builds two mirrored volume maps on the right-hand side of the chart. It also extends liquidity levels backwards in time until they are crossed by price, allowing you to see which zones remain untouched and where liquidity is most likely resting. Cumulative skew lines and highlighted POC levels give additional clarity on imbalance between buyers and sellers. ⯁ KEY FEATURES Dual Liquidity Profiles: The chart is divided into buy-side (green) and sell-side (red) liquidity profiles, letting you instantly compare both sides of order flow. Level Extension Logic: Each liquidity level is extended back in time until price crosses it. If not crossed, it persists all the way to the indicator’s lookback period, marking zones that remain “untapped.” Dynamic Binning with Standard Deviation: The indicator distributes candle volumes into bins using close-price deviation, creating a more realistic liquidity map than static price levels. priceDeviation = ta.stdev(close, 25) * 2 priceReference = close > open ? low - priceDeviation : high + priceDeviation Cumulative Volume Skew Lines: Polylines on the right-hand side show the aggregated buy and sell volume profiles, making it easy to spot imbalance. POC Identification: Highest-volume levels on both sides are marked as POC (Point of Control) , providing key zones of interest. Clear Color Coding: Gradient shading intensifies with volume concentration—dark teal/green for buy zones, dark pink/red for sell zones. ⯁ HOW IT WORKS (UNDER THE HOOD) Volume Distribution: Each bar’s volume is assigned to a price bin based on its reference price (close ± standard deviation offset). Buy vs. Sell Splitting: If bins above last close price, volume is allocated to sell-side liquidity; otherwise, it’s allocated to buy-side liquidity. Level Extension: Boxes marking liquidity bins extend back until crossed by price. If uncrossed, they anchor all the way to the start of the lookback window. Cumulative Polylines: As bins are stacked, cumulative buy and sell values form skew polylines plotted at the right edge. POC Levels: The highest-volume bin on each side is highlighted with labels and arrows, marking where the heaviest liquidity is concentrated. ⯁ USAGE Use buy/sell profiles to see where liquidity is likely resting. Green shelves suggest potential support zones; red shelves suggest resistance or sell liquidity pools. Watch untouched extended levels —these often become magnets for price as liquidity is swept. Track POC levels as primary liquidity targets, where reactions or fakeouts are most common. Compare cumulative skew lines to judge which side dominates in volume. Heavy buy skew may indicate absorption of sell pressure, and vice versa. Adjust lookback period to switch between intraday liquidity maps and larger swing-based profiles. Use separator feature to hide bins borders for better visual clarity. Use as a confluence tool with OBs, support/resistance, and liquidity sweep setups. ⯁ CONCLUSION Liquidity Pro Map transforms candle volume into a structured simulation of where liquidity may rest across the chart. By dividing buy vs. sell profiles, extending untouched levels, and marking cumulative skew and POC, it equips traders with a clear visual map of potential liquidity pools. This allows for better anticipation of sweeps, reversals, and areas of high market activity.
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ChartPrime tarafından
2
Trading Activity Index (Zeiierman)█ Overview Trading Activity Index (Zeiierman) is a volume-based market activity meter that transforms dollar-volume into a smooth, normalized “activity index.” It highlights when market participation is unusually low or high with a dynamic color gradient: Light Blue → Low Activity (thin participation, low liquidity conditions) Red/Orange → High Activity (active markets, large trades flowing in) Additional percentile bands (20/40/60/80%) give context, helping you see whether the current activity level is in the bottom quintile, mid-range, or near historical extremes. █ How It Works ⚪ Dollar Volume Transformation Each bar, dollar volume is computed: float dlrVol = close * volume float dlrVolAvg = ta.sma(dlrVol, len_form) Dollar volume = price × volume, smoothed by a configurable SMA window. The result is log-transformed, compressing large outliers for a more stable signal. ⚪ Rolling Percentiles & Ranking The log-dollar-volume series is compared to its rolling history (len_hist bars): float p20 = ta.percentile_linear_interpolation(vscale, len_hist, 20) float p40 = ta.percentile_linear_interpolation(vscale, len_hist, 40) float p60 = ta.percentile_linear_interpolation(vscale, len_hist, 60) float p80 = ta.percentile_linear_interpolation(vscale, len_hist, 80) A normalized rank (0–1) is produced to color the main Trading Activity line. █ How to Use ⚪ Detect High-Impact Sessions Quickly see if today’s session is active or quiet relative to its own history — great for filtering setups that need activity. ⚪ Spot Breakouts & Traps Combine with price action: High activity near breakouts = strong follow-through likely. Low activity breakouts = vulnerable to fake-outs. ⚪ Market Regime Context Percentile bands help you assess whether participation is building up, in the middle of the range, or drying out — valuable for timing mean-reversion trades. Above 80th percentile (red/orange) → Market is highly active, breakout trades and trend strategies are favored. Below 20th percentile (light blue) → Market is quiet; fade moves or wait for expansion. Watch transitions from blue → orange as a signal of growing institutional participation. █ Settings Formation Window (bars) – Number of bars used to average dollar volume before log transform. History Window (bars) – Lookback period for percentile calculations and rank normalization. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
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Zeiierman tarafından
1
Volume Delta Oscillator with Divergence█ OVERVIEW The Volume Delta Oscillator with Divergence is a technical indicator designed for the TradingView platform, helping traders identify potential trend reversal points and market momentum shifts through volume delta analysis and divergence detection. The indicator combines a smoothed volume delta oscillator with moving average-based signals, overbought/oversold levels, and divergence visualization, enhanced by configurable gradients and alerts for quick decision-making. █ CONCEPT The core idea of the indicator is to measure net buying or selling pressure through volume delta, smooth it for greater clarity, and detect divergences between price action and the oscillator. The indicator does not use external data, making it a compromise but practical tool for analyzing market dynamics based on available price and volume data. It provides insights into market dynamics, overbought/oversold conditions, and potential reversal points, with an attractive visual presentation. █ WHY USE IT? - Divergence detection: Identifies bullish and bearish divergences between price and the oscillator, signaling potential reversals. - Volume delta analysis: Measures cumulative volume delta to assess buying/selling pressure, expressed as a percentage for cross-market comparability. - Signal generation: Creates buy/sell signals based on overbought/oversold level crossovers, zero line crossovers, and moving average zero line crossovers. - Visual clarity: Uses gradients, fills, and dynamic colors for intuitive chart analysis. - Flexibility: Numerous settings allow adaptation to various markets (e.g., forex, crypto, stocks) and trading strategies. █ HOW IT WORKS? - Volume delta calculation: Computes net buying/selling pressure per candle as volume * (close - open) / (high - low), aggregated over a specified period (Cumulative Delta Length). - Smoothing: Applies an EMA (Smoothing Length) to the cumulative delta percentage, creating a smoother oscillator (Delta Oscillator). - Moving Average: Calculates an SMA (Moving Average Length) of the smoothed delta for trend confirmation (Moving Average (SMA)). - Divergence detection: Identifies bullish and bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length). - Normalization: Delta is expressed as a percentage of total volume, ensuring consistency across instruments and timeframes. - Signals: Generates signals for: Crossing the oversold level upward (buy) or overbought level downward (sell). Crossing the zero line by the oscillator or moving average (buy/sell). Bullish/bearish divergences, marked with labels. - Visualization: Draws the oscillator and moving average with dynamic colors, gradient fills, and transparent bands and labels, with configurable overbought/oversold levels. - Alerts: Built-in alerts for divergence detection, overbought/oversold crossovers, and zero line crossovers (both oscillator and moving average). █ SETTINGS AND CUSTOMIZATION - Cumulative Delta Length: Period for aggregating volume delta (default: 14). - Smoothing Length (EMA): EMA length for smoothing the delta oscillator (default: 2). Higher values smooth the signal but reduce the number of generated signals. - Moving Average Length (SMA): SMA length for the moving average line (default: 40). Higher values allow SMA to be analyzed as a trend indicator, but require adjusting overbought/oversold levels for MA, as longer MA oscillates less. - Pivot Length (Left/Right): Number of candles for detecting pivot highs/lows in divergence calculations (default: 2). Higher values can reduce noise but introduce a delay equal to the set value. - Overbought/Oversold Levels: Thresholds for the oscillator (default: 18/-18) and for the moving average (default: 10/-10). For the moving average, no arrows appear; instead, the band changes color from gray to green (oversold) or red (overbought), which can strengthen entry signals for delta. - Signal Type: Select signals to display: "Overbought/Oversold", "Zero Line", "MA Zero Line", "All", or "None" (default: Overbought/Oversold). - Colors and gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels. - Transparency: Adjust gradient fill transparency (default: 70) and band/label transparency (default: 40) for consistent appearance. - Visualizations: Enable/disable the moving average, gradients for zero/overbought/oversold levels, and gradient fills. █ USAGE EXAMPLES - Momentum analysis: Observe the delta oscillator above 0 for bullish momentum or below 0 for bearish momentum. The moving average (SMA), being smoothed, reacts more slowly and can confirm trend direction as a noise filter. - Reversal signals: Look for buy triangles when the oscillator crosses the oversold level upward, especially when the moving average is below the MA oversold threshold. Similarly, look for sell triangles when crossing the overbought level downward, with the moving average above the MA overbought threshold. Divergence labels (bullish/bearish) indicate potential reversals. - Divergence trading: Use bullish divergence labels (green) for potential buy opportunities and bearish labels (red) for sell opportunities, especially when confirmed by price action or other indicators. - Customization: Adjust the cumulative delta length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals. █ NOTES FOR USERS - Combine the indicator with other tools, such as Fibonacci levels, RSI, or pivot points, to increase accuracy. - Test different settings for cumulative delta length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
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Uncle_the_shooter tarafından
3
VIM (Volume in Money)Volume in Money + MA (Short Numbers & Coloring) This indicator visualizes the monetary volume traded in each candle, calculated as: Money Volume = Volume × Close Price Money Volume=Volume×Close Price 🔹 Features: Plots bars representing the money volume (total traded value). Coloring options: • Prev Close → Green if the current close is higher than the previous close, Red if lower. • Candle Direction → Green if the candle is bullish (close > open), Red if bearish (close < open). Moving Average (default length: 14) applied on the money volume for trend analysis. Axis values and labels displayed in a shortened format (K, M, B, T) for readability. 📊 This helps traders quickly identify whether large amounts of money flowed into or out of the asset, making it easier to detect unusual activity compared to regular volume indicators.
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tbtb1111 tarafından
1
Structural Liquidity Signals [BullByte]Structural Liquidity Signals (SFP, FVG, BOS, AVWAP) Short description Detects liquidity sweeps (SFPs) at pivots and PD/W levels, highlights the latest FVG, tracks AVWAP stretch, arms percentile extremes, and triggers after confirmed micro BOS. Full description What this tool does Structural Liquidity Signals shows where price likely tapped liquidity (stop clusters), then waits for structure to actually change before it prints a trigger. It spots: Liquidity sweeps (SFPs) at recent pivots and at prior day/week highs/lows. The latest Fair Value Gap (FVG) that often “pulls” price or serves as a reaction zone. How far price is stretched from two VWAP anchors (one from the latest impulse, one from today’s session), scaled by ATR so it adapts to volatility. A “percentile” extreme of an internal score. At extremes the script “arms” a setup; it only triggers after a small break of structure (BOS) on a closed bar. Originality and design rationale, why it’s not “just a mashup” This is not a mashup for its own sake. It’s a purpose-built flow that links where liquidity is likely to rest with how structure actually changes: - Liquidity location: We focus on areas where stops commonly cluster—recent pivots and prior day/week highs/lows—then detect sweeps (SFPs) when price wicks beyond and closes back inside. - Displacement context: We track the last Fair Value Gap (FVG) to account for recent inefficiency that often acts as a magnet or reaction zone. - Stretch measurement: We anchor VWAP to the latest N-bar impulse and to the Daily session, then normalize stretch by ATR to assess dislocation consistently across assets/timeframes. - Composite exhaustion: We combine stretch, wick skew, and volume surprise, then bend the result with a tanh transform so extremes are bounded and comparable. - Dynamic extremes and discipline: Rather than triggering on every sweep, we “arm” at statistical extremes via percent-rank and only fire after a confirmed micro Break of Structure (BOS). This separates “interesting” from “actionable.” Key concepts SFP (liquidity sweep): A candle briefly trades beyond a level (where stops sit) and closes back inside. We detect these at: Pivots (recent swing highs/lows confirmed by “left/right” bars). Prior Day/Week High/Low (PDH/PDL/PWH/PWL). FVG (Fair Value Gap): A small 3‑bar gap (bar2 high vs bar1 low, or vice versa). The latest gap often acts like a magnet or reaction zone. We track the most recent Up/Down gap and whether price is inside it. AVWAP stretch: Distance from an Anchored VWAP divided by ATR (volatility). We use: Impulse AVWAP: resets on each new N‑bar high/low. Daily AVWAP: resets each new session. PR (Percentile Rank): Where the current internal score sits versus its own recent history (0..100). We arm shorts at high PR, longs at low PR. Micro BOS: A small break of the recent high (for longs) or low (for shorts). This is the “go/no‑go” confirmation. How the parts work together Find likely liquidity grabs (SFPs) at pivots and PD/W levels. Add context from the latest FVG and AVWAP stretch (how far price is from “fair”). Build a bounded score (so different markets/timeframes are comparable) and compute its percentile (PR). Arm at extremes (high PR → short candidate; low PR → long candidate). Only print a trigger after a micro BOS, on a closed bar, with spacing/cooldown rules. What you see on the chart (legend) Lines: Teal line = Impulse AVWAP (resets on new N‑bar extreme). Aqua line = Daily AVWAP (resets each session). PDH/PDL/PWH/PWL = prior day/week levels (toggle on/off). Zones: Greenish box = latest Up FVG; Reddish box = latest Down FVG. The shading/border changes after price trades back through it. SFP labels: SFP‑P = SFP at Pivot (dotted line marks that pivot’s price). SFP‑L = SFP at Level (at PDH/PDL/PWH/PWL). Throttle: To reduce clutter, SFPs are rate‑limited per direction. Triggers: Triangle up = long trigger after BOS; triangle down = short trigger after BOS. Optional badge shows direction and PR at the moment of trigger. Optional Trigger Zone is an ATR‑sized box around the trigger bar’s close (for visualization only). Background: Light green/red shading = a long/short setup is “armed” (not a trigger). Dashboard (Mini/Pro) — what each item means PR: Percentile of the internal score (0..100). Near 0 = bullish extreme, near 100 = bearish extreme. Gauge: Text bar that mirrors PR. State: Idle, Armed Long (with a countdown), or Armed Short. Cooldown: Bars remaining before a new setup can arm after a trigger. Bars Since / Last Px: How long since last trigger and its price. FVG: Whether price is in the latest Up/Down FVG. Imp/Day VWAP Dist, PD Dist(ATR): Distance from those references in ATR units. ATR% (Gate), Trend(HTF): Status of optional regime filters (volatility/trend). How to use it (step‑by‑step) Keep the Safety toggles ON (default): triggers/visuals on bar‑close, optional confirmed HTF for trend slope. Choose timeframe: Intraday (5m–1h) or Swing (1h–4h). On very fast/thin charts, enable Performance mode and raise spacing/cooldown. Watch the dashboard: When PR reaches an extreme and an SFP context is present, the background shades (armed). Wait for the trigger triangle: It prints only after a micro BOS on a closed bar and after spacing/cooldown checks. Use the Trigger Zone box as a visual reference only: This script never tells you to buy/sell. Apply your own plan for entry, stop, and sizing. Example: Bullish: Sweep under PDL (SFP‑L) and reclaim; PR in lower tail arms long; BOS up confirms → long trigger on bar close (ATR-sized trigger zone shown). Bearish: Sweep above PDH/pivot (SFP‑L/P) and reject; PR in upper tail arms short; BOS down confirms → short trigger on bar close (ATR-sized trigger zone shown). Settings guide (with “when to adjust”) Safety & Stability (defaults ON) Confirm triggers at bar close, Draw visuals at bar close: Keep ON for clean, stable prints. Use confirmed HTF values: Applies to HTF trend slope only; keeps it from changing until the HTF bar closes. Performance mode: Turn ON if your chart is busy or laggy. Core & Context ATR Length: Bigger = smoother distances; smaller = more reactive. Impulse AVWAP Anchor: Larger = fewer resets; smaller = resets more often. Show Daily AVWAP: ON if you want session context. Use last FVG in logic: ON to include FVG context in arming/score. Show PDH/PDL/PWH/PWL: ON to see prior day/week levels that often attract sweeps. Liquidity & Microstructure Pivot Left/Right: Higher values = stronger/rarer pivots. Min Wick Ratio (0..1): Higher = only more pronounced SFP wicks qualify. BOS length: Larger = stricter BOS; smaller = quicker confirmations. Signal persistence: Keeps SFP context alive for a few bars to avoid flicker. Signal Gating Percent‑Rank Lookback: Larger = more stable extremes; smaller = more reactive extremes. Arm thresholds (qHi/qLo): Move closer to 0.5 to see more arms; move toward 0/1 to see fewer arms. TTL, Cooldown, Min bars and Min ATR distance: Space out triggers so you’re not reacting to minor noise. Regime Filters (optional) ATR percentile gate: Only allow triggers when volatility is at/above a set percentile. HTF trend gate: Only allow longs when the HTF slope is up (and shorts when it’s down), above a minimum slope. Visuals & UX Only show “important” SFPs: Filters pivot SFPs by Volume Z and |Impulse stretch|. Trigger badges/history and Max badge count: Control label clutter. Compact labels: Toggle SFP‑P/L vs full names. Dashboard mode and position; Dark theme. Reading PR (the built‑in “oscillator”) PR ~ 0–10: Potential bullish extreme (long side can arm). PR ~ 90–100: Potential bearish extreme (short side can arm). Important: “Armed” ≠ “Enter.” A trigger still needs a micro BOS on a closed bar and spacing/cooldown to pass. Repainting, confirmations, and HTF notes By default, prints wait for the bar to close; this reduces repaint‑like effects. Pivot SFPs only appear after the pivot confirms (after the chosen “right” bars). PD/W levels come from the prior completed candles and do not change intraday. If you enable confirmed HTF values, the HTF slope will not change until its higher‑timeframe bar completes (safer but slightly delayed). Performance tips If labels/zones clutter or the chart lags: Turn ON Performance mode. Hide FVG or the Trigger Zone. Reduce badge history or turn badge history off. If price scaling looks compressed: Keep optional “score”/“PR” plots OFF (they overlay price and can affect scaling). Alerts (neutral) Structural Liquidity: LONG TRIGGER Structural Liquidity: SHORT TRIGGER These fire when a trigger condition is met on a confirmed bar (with defaults). Limitations and risk Not every sweep/extreme reverses; false triggers occur, especially on thin markets and low timeframes. This indicator does not provide entries, exits, or position sizing—use your own plan and risk control. Educational/informational only; no financial advice. License and credits © BullByte - MPL 2.0. Open‑source for learning and research. Built from repeated observations of how liquidity runs, imbalance (FVG), and distance from “fair” (AVWAPs) combine, and how a small BOS often marks the moment structure actually shifts.
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BullByte tarafından
Volume Voids [theUltimator5]Volume Voids highlights price regions with no or unusually thin participation over a chosen lookback. It bins the lookback’s full price range into equal steps, assigns each bar’s close to a bin, and accumulates volume per bin. Contiguous runs of zero-volume bins are shown as “voids,” while low-volume runs (below a dynamic threshold) mark thin-liquidity “corridors” where price often traverses quickly when revisited. An optional PoC (Point of Control) line marks the mid-price of the highest-volume bin—commonly treated as a recent “value” area that price may revisit. What it draws on your chart Histogram (optional): Right-anchored horizontal volume-by-price bars built from your lookback and bin count. Bars tint green→red via a simple delta proxy (up-bar volume minus down-bar volume) to hint at directional participation inside each price band. Point of Control (optional): A horizontal line at the highest-volume bin’s mid-price (the PoC). Zero-Volume Voids: Translucent boxes where no bin volume printed within the window (detected between the first and last non-empty bins ). Low-Volume Zones: Translucent boxes where bin volume is below a dynamic threshold (see formula below), often acting like low-friction corridors. How it works Slice the lookback’s high→low into N equal price bins. Assign each bar’s closing price to a bin and add that bar’s volume to the bin total. A simple up/down-bar delta proxy drives the histogram’s tinting. PoC = bin with the maximum accumulated volume. Zero-Volume Voids = contiguous runs of bins with exactly zero volume (bounded by the first/last occupied bins). Low-Volume Zones = contiguous runs of bins with volume below: threshold = total_window_volume ÷ (divisor × number_of_bins) Lower divisor → more LV boxes; higher divisor → stricter/fewer boxes. Note: This is a lightweight, chart-native approximation of a volume profile. Volume is binned by bar close (not by tick-level prints or intrabar distribution), so “voids”/“thin” areas reflect this approximation. Key inputs Lookback Period: Window for calculations. Number of Volume Boxes (bins): Histogram resolution. PoC / Show Histogram / Anchor to Right Side: Visibility and layout controls. Low-Volume Threshold Divisor: Sensitivity for LV detection. Colors & Labels: Customize zero-volume / low-volume box colors and optional labels with offsets. How to use (educational, not signals) Context: High-volume = acceptance; thin/zero-volume = inefficiency. Price often rotates near acceptance and moves faster through thin areas. Revisits: On returns to prior voids/LV zones, watch for accelerated moves or fills; PoC can serve as a balance reference. Confluence: Pair with trend tools (e.g., ADX), VWAP/session markers, or structure levels for timing and risk. Limitations & performance Bins use closing price only; intrabar distribution is not modeled. Detections refresh on the live bar; visuals can be heavy on large lookbacks/high bin counts—reduce bins/lookback or hide labels if needed.
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TheUltimator5 tarafından
POC-Change Regime VBP// POC-Change Regime VBP — 取扱説明 / User Guide // JP: 概要）POC（Point of Control）をレジーム単位で追跡し、価格帯別出来高（VBP/VPVR）を可視化します。 // EN: Overview) Tracks regime-based POC and visualizes Volume by Price (VBP/VPVR). // JP: 出来高はボディ/髭領域に重み付け配分。髭はオプションで常に50:50の中立配分。 // EN: Volume is distributed to body/wick areas with weights. Wick can be split 50:50 (direction-neutral). // JP: ラベル：上段＝WAP比較（UPμ ≷ DNμ; 許容誤差はティック指定）、下段＝UP:DN 正規化（合計100）。 // EN: Label: 1st line = WAP comparison (UPμ ≷ DNμ; tolerance in ticks), 2nd line = normalized UP:DN (sum=100). // JP: POCは各価格帯の(Up+Dn)合計が最大の帯。UP:DN比は向きの内訳であり価格位置と独立なので、POC上下と矛盾し得ます。 // EN: POC is the price bin with max (Up+Dn). UP:DN ratio is direction mix only; may disagree with POC direction. // JP: 主なパラメータ）calcBins=計算精度、drawBins=描画粗さ、minConfirmBars=POC変移の確定遅延、 // minShareDraw=小帯の間引き、labelYOffsetTicks=ラベルの被り回避（上に持ち上げ）。 // EN: Key params) calcBins=calc resolution, drawBins=draw coarseness, minConfirmBars=POC change confirmation, // minShareDraw=drop tiny bins, labelYOffsetTicks=lift labels above boxes to avoid overlap. // JP: 注意）syminfo.mintickは現在の最小ティック。可変ティック制市場では過去刻みを厳密再現しません。 // EN: Note) syminfo.mintick is current minimum tick; variable-tick markets won’t be reproduced historically. // JP: ヒント）calcBins↑で精度↑/負荷↑。minConfirmBars↑でダマシ抑制/反応遅延。splitWicksEqually=trueで方向バイアスを抑制。 // EN: Tips) Higher calcBins = higher accuracy & load. Higher minConfirmBars = less noise & slower response. // splitWicksEqually=true reduces directional bias from wicks.
Pine Script® göstergesi
isseitamura0008 tarafından
Sentinel Nexus Dashboard [AGP] Ver.1.5Sentinel Nexus Dashboard is a versatile Pine Script designed as a comprehensive technical analysis tool. It condenses a variety of key indicators and metrics into a single, intuitive visual dashboard, providing an integrated view of market trends, momentum, volatility, and liquidity, all neatly organized on your TradingView chart. Key Features and Benefits All-in-One Dashboard: This script centralizes relevant information, offering a clean, efficient control panel that helps you make quick decisions without cluttering your chart with multiple overlays. Trend Analysis with ADX: It incorporates the Average Directional Index (ADX) to measure trend strength. The dashboard displays ADX, DI+, and DI- values with dynamic color-coding to highlight trend intensity (e.g., blue for a very strong trend). Momentum Analysis with MACD: The dashboard shows MACD line and signal line values in a table. The background color of the MACD values reflects the histogram's direction, allowing you to quickly identify crosses and shifts in market momentum. Multi-Timeframe RSI Analysis: The RSI (Relative Strength Index) dashboard displays values across multiple timeframes (from 1 minute to 1 month). Overbought (77) and oversold (23) levels are color-coded for immediate identification of market conditions, making it an ideal tool for multi-timeframe analysis. Smart and Dynamic Volume: The script uses a bar coloring algorithm based on average volume. Chart bars change color according to volume magnitude (extreme, high, average, or low) relative to the average, distinguishing between bullish and bearish bars. This helps you identify significant, liquidity-driven price movements. Fair Value Analysis: The script calculates an asset's "fair value" using a noise filter (similar to a Kalman filter) on recent highs and lows to determine a midpoint. The price dashboard's background color changes to indicate if the current price is above or below this fair value. Fibonacci EMA Analysis: A table displays several Exponential Moving Averages (EMAs) based on the Fibonacci sequence. The values are color-coded to show whether the current price is above (white) or below (orange) each EMA, helping you quickly identify dynamic support and resistance levels. CME Futures Data Integration: For Bitcoin, the script can show a chart label with the Bitcoin futures price (CME:BTC1!), allowing you to compare the spot price with the CME futures market. Potential Uses and Applications The Sentinel Nexus Dashboard is an excellent support tool for trading. It is not a signal system but rather a suite of confirmation tools that can be used to: Confirm Trend Strength: Before entering a trade, use the ADX data to ensure the trend has enough strength for your expected move. Detect Reversal Points: Multi-timeframe RSI data can alert you to potential overbought or oversold conditions, indicating possible exhaustion of a price move. Validate Price Movements: Bar coloring based on volume helps you determine if a price move is genuine and supported by strong market participation. High volume can confirm a breakout or reversal. Identify Support and Resistance: The Fibonacci EMAs allow you to quickly visualize key levels where price might find support or resistance, aiding in planning entries and exits. In short, this script is perfect for traders who want a comprehensive market overview without chart clutter. It efficiently integrates trend, momentum, and volume analysis in one place. Legal Disclaimer RISK WARNING: This Pine Script is a technical analysis tool and should not be considered financial advice. Past performance of any indicator is no guarantee of future results. Trading in financial markets involves a high risk of loss and is not suitable for all investors. By using this indicator, you accept full responsibility for your trading decisions and acknowledge that any financial loss is your sole responsibility. IMPORTANT: Some script functions, such as the CME price label, may not work correctly if your TradingView subscription plan is not a paid one. Please check your plan's limitations to ensure the indicator's optimal functionality.
Pine Script® göstergesi
Andromedae tarafından
Volume Profile Auto POC📌 Overview Volume Profile Auto POC is a trend-following strategy that uses the automatically calculated Point of Control (POC) from the volume profile, combined with ATR zones, to capture reversals and breakouts. By basing decisions on volume concentration, it dynamically visualizes the price levels most watched by market participants. ⚠️ This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. 🎯 Strategy Objectives Automatically detect the volume concentration area (POC) to improve entry accuracy Optimize risk management through ATR-based volatility adjustment Provide early and consistent signals when trends emerge ✨ Key Features Automatic POC Detection : Updates the volume profile over a defined lookback window in real time ATR Zone Integration : Defines a POC ± 0.5 ATR zone to clarify potential reversals/breakouts Visual Support : Plots the POC line and zones on the chart for intuitive decision-making 📊 Trading Rules Long Entry: Price breaks above the POC + 0.5 ATR zone Volume is above average to support the breakout Short Entry: Price breaks below the POC - 0.5 ATR zone Volume is above average to support the downside move Exit (or Reverse Position): Price returns to the POC area Or touches the ATR band ⚙️ Trading Parameters & Considerations Indicator Name: Volume Profile Auto POC Parameters: Lookback Bars: 50 Bins for Volume Profile: 24 ATR Length: 14 ATR Multiplier: 2.0 🖼 Visual Support POC line plotted in red POC ± 0.5 ATR zone displayed as a semi-transparent box ATR bands plotted in blue for confirmation 🔧 Strategy Improvements & Uniqueness This strategy is inspired by traditional Volume Profile + ATR analysis, while adding the improvement of a sliding-window mechanism for automatic POC updates. Compared with conventional trend-following approaches, its strength lies in combining both price and volume perspectives for decision-making. ✅ Summary Volume Profile Auto POC automatically extracts key market levels (POC) and combines them with ATR-based zones, providing a responsive trend-following method. It balances clarity with practicality, aiming for both usability and reproducibility. ⚠️ This strategy is based on historical data and does not guarantee future profits. Always use proper risk management when applying it.
Pine Script® göstergesi
PakunFX tarafından
Stop Loss Advisor📊 Stop Loss Advisor - Advanced Risk Management Tool A sophisticated Pine Script v5 indicator designed to suggest optimal stop loss distances based on market volatility, combining ATR and Standard Deviation analysis for precise risk management. 🎯 What Makes This Different from Bollinger Bands? While Bollinger Bands focus on mean reversion and overbought/oversold conditions using a moving average center line, this indicator is specifically designed for risk management . It creates dynamic bands around the current price to suggest where NOT to place your stop loss, preventing you from being stopped out by normal market noise. ⚡ Key Features Dynamic ATR Calculation - Fully customizable ATR periods with adaptive volatility filtering Standard Deviation Integration - Optional StdDev component for enhanced statistical accuracy Multiple Combination Modes - Average, Maximum, ATR Weighted, or StdDev Weighted Flexible Price Sources - Choose from Close, HL2, HLC3, or OHLC4 Automatic Pip Calculation - Works across all instruments with automatic pip value detection Smart Alerts System - Get notified when suggested stop loss exceeds your base risk tolerance Real-time Information Table - Displays current values and risk status Visual Labels - Shows exact pip distances directly on chart Band Smoothing - Prevents erratic movements with customizable averaging 📈 How It Works ATR Analysis : Calculates Average True Range to measure current market volatility Statistical Enhancement : Optionally combines with Standard Deviation for more robust calculations Dynamic Bands : Creates upper and lower bands that expand/contract with volatility Pip Conversion : Automatically converts distances to pips for easy interpretation Risk Assessment : Compares suggested distances with your base stop loss tolerance 🔧 Customization Options ATR Settings: Customizable ATR period (default: 14) Adjustable multiplier with 0.1 step precision Optional volatility filtering for enhanced sensitivity Standard Deviation (Optional): Independent period and multiplier settings Multiple price source options Four combination modes with ATR Visual Customization: Fully customizable colors for all elements Multiple line styles (solid, dashed, dotted) Optional band filling with transparency control Show/hide ATR line overlay Configurable band smoothing 💡 Perfect For Forex Traders - Especially effective on major pairs and XAUUSD Risk Managers - Calculate optimal stop distances before entering trades Scalpers - Avoid being stopped out by normal market fluctuations Swing Traders - Adapt stop losses to current volatility conditions 📊 Indicator Values The information table displays: Current ATR Value (in pips) Suggested Long Stop Loss (distance in pips) Suggested Short Stop Loss (distance in pips) Risk Status - "SAFE" or "HIGH RISK" based on your base tolerance Standard Deviation Value (when enabled) Combination Method (when using both ATR and StdDev) ⚠️ Important Notes This indicator suggests minimum stop loss distances, not entry/exit signals Always combine with your trading strategy and risk management rules Do not use as a standalone trading system Backtesting recommended before live implementation Default settings work well for most scenarios, but optimization is encouraged 🎨 Default Configuration ATR Period: 14 ATR Multiplier: 2.0 Price Source: Close Base Stop Loss: 20 pips Band Smoothing: 3 periods Standard Deviation: Optional (20 period, 2.0 multiplier) 🚀 Getting Started Add the indicator to your chart Set your base stop loss tolerance in the settings Choose your preferred price source and ATR parameters Enable Standard Deviation for enhanced accuracy (optional) Monitor the information table for real-time risk assessment Use the suggested distances as minimum stop loss levels Pro Tip: In low volatility markets, the bands will contract suggesting tighter stops. In high volatility periods, they expand warning you to use wider stops to avoid being stopped out by normal price action. 📝 Version History & Updates This indicator is actively maintained and updated based on user feedback. Future enhancements may include multi-timeframe analysis, trend-based asymmetric bands, and additional statistical measures. Transform your risk management approach with data-driven stop loss suggestions that adapt to real market conditions!
Pine Script® göstergesi
Raffaele_De_Leo tarafından