Mulakan

Nilai

Smart Confluence█ SMART CONFLUENCE (SC) Multi-Factor SMC Trading System Smart Confluence combines multiple market structure signals into a single confluence score . When enough signals align, it generates BUY/SELL setups with precise Entry Zones, Stop Loss, and 3 Take Profit levels — all fully automated. Free and Open Source. █ THE CONCEPT: WHY CONFLUENCE MATTERS No single indicator is reliable on its own. A CHOCH can fail. An Order Block can break. A sweep can be a fakeout. But when 4-6 different signals all agree at the same time — that's when the probability is in your favor. Smart Confluence requires a core trigger (CHOCH, Sweep, or EQ-Grab) PLUS enough confirmations to reach the minimum confluence threshold before any signal fires. This eliminates most false signals. █ CORE FEATURES 1. Market Structure Detection Automatic Swing High/Low identification with Change of Character (CHOCH) — the moment a downtrend breaks above the last swing high (bullish) or an uptrend breaks below the last swing low (bearish). CHOCH is worth 2 confluence points. 2. Liquidity Sweeps Detects stop-hunt patterns where price sweeps below recent lows (or above recent highs) and reverses. These sweeps indicate smart money collecting liquidity before the real move. Worth 2 confluence points. 3. EQH/EQL (Equal Highs/Lows) Identifies liquidity pools where multiple swing points cluster at the same price level. When price sweeps through these clusters (EQ-Grab), it signals institutional order flow. Worth 3 confluence points (configurable). 4. Order Blocks & Fair Value Gaps Order Blocks — The last opposing candle before a strong move — institutional supply/demand zones. +1 point when price is inside. FVGs — Price imbalances (gaps between candles) that act as magnets. +1 point when price is inside. 5. Premium/Discount Zones Calculates where price is relative to the current range. Buy in discount (<50%), sell in premium (>50%). OTE (Optimal Trade Entry) bonus for the 62-79% retracement zone. Up to +3 confluence points. 6. Confirmation Filters Volume — High volume confirms institutional activity (+1-2 points) RSI Divergence — Momentum exhaustion = strong reversal signal (+2 points) EMA Trend Filter — Price vs EMA21/50/200 alignment (+1-2 points) ATR Volatility — High volatility confirms market activity (+1 point) HTF Trend — Higher timeframe trend agreement (+1 point) Candlestick Patterns — Engulfing, Hammer, Shooting Star (+1 point) █ AUTO-TIMEFRAME ADAPTATION All parameters auto-adjust to your chart timeframe: Swing Length, Cooldown, OB Lookback, Min Confluence, HTF selection, SL Buffer, Min R:R, EQ Tolerance, EQ Age, Setup duration, S/R Cluster. Supports 1m to Monthly. █ S/R ZONE DETECTION Automatic Support/Resistance zones built from clustering multiple sources: Swing points, Order Blocks, FVGs, EQH/EQL levels, HTF levels. Each zone gets a strength score (1-5). Only shows the strongest zones. █ ENTRY / SL / TP SYSTEM Entry Zone — Based on active Order Block or FVG. Falls back to current candle range. Stop Loss — 4 modes: Entry-Based, Swing, ATR, or SMC (below OB/FVG). R:R filter ensures minimum reward. Take Profit — 4 modes: Structure (next swing), Fixed R:R, ATR-based, or Hybrid (structure if available, else R:R). Partial TP — Configurable distribution (50/30/20, 33/33/34, 40/40/20, 60/30/10). █ DASHBOARD Compact dark-themed info panel showing: Mode (Auto/Manual + TF), Trend direction, HTF confirmation, Premium/Discount zone, S/R levels with strength, Bull/Bear confluence scores, Active setup details (direction, R:R, SL, Entry, TP1-3), SL/TP mode, Partial distribution. █ ALERTS (8 CONDITIONS) BUY Signal — Full confluence with valid R:R SELL Signal — Full confluence with valid R:R Bullish CHOCH — Trend reversal detected Bearish CHOCH — Trend reversal detected EQH Grab — Liquidity pool swept (bearish) EQL Grab — Liquidity pool swept (bullish) Bullish Sweep — Stop hunt detected Bearish Sweep — Stop hunt detected █ PRO VERSION The PRO version (Smart Confluence Pro) adds: Signal Profile Presets — Scalping, Intraday, Swing, Position, Aggressive, Conservative, SMC Pure Asset Auto-Detection — Crypto, Forex, Stock, Futures with 8 scaling factors A/B/C Signal Grading — Quality scoring based on Zone, HTF, Volume, Session, Divergence Risk Management — Account size, risk %, position sizing, custom partial distributions Session Filter — London, New York, Asia sessions with overlap detection Funding Rate — Crypto perpetual funding rate as contrarian confluence Trailing Stop Loss — Break-Even + Trail TP modes Trade Management Alerts — TP1/TP2/TP3 hit, SL hit, Trailing updates, Setup expiry 14+ Alert Types — Including A-Grade only alerts █ NON-REPAINTING All signals require confirmed bars (barstate.isconfirmed for EQH/EQL). Signal confirmation waits for the next candle. HTF data uses lookahead=barmerge.lookahead_off. No future data leakage. No repainting. █ WORKS ON Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Penunjuk Pine Script®
oleh alphachart_tv
EMA14CHANUTFeatures of the EMA14CHANUT Indicator for XAUUSD The EMA14CHANUT indicator is designed to help traders analyze the relationship between price and the 14-period Exponential Moving Average (EMA) across multiple timeframes. It is particularly useful when trading XAUUSD, where fast trend recognition and price distance from EMA can improve trading decisions. 1. EMA14 Trend Identification The indicator calculates the 14-period Exponential Moving Average (EMA) and plots it directly on the chart. This allows traders to quickly determine the market direction. Price above EMA14 → Uptrend Price below EMA14 → Downtrend For XAUUSD, this helps traders quickly identify whether gold is in a bullish or bearish momentum phase. 2. Multi-Timeframe Analysis The dashboard analyzes EMA status across 8 timeframes simultaneously: M1 (1 Minute) M5 (5 Minutes) M15 (15 Minutes) M30 (30 Minutes) H1 (1 Hour) H4 (4 Hours) D (Daily) W (Weekly) This allows traders to see whether multiple timeframes are aligned, which is important for confirming trends in gold trading. 3. Real-Time Dashboard The indicator includes a visual dashboard table displayed on the chart. The dashboard shows: Timeframe Market status (Up or Down) Distance between price and EMA (in points) This helps traders instantly understand the overall market structure without switching between charts. 4. Distance from EMA Measurement The indicator calculates how far the current price is from the EMA. This is important because in XAUUSD, price often returns to the EMA before continuing the trend. The distance value helps traders identify: Pullback opportunities Overextended price movements Possible mean reversion zones 5. Distance Warning System The indicator includes a warning system when price gets close to the EMA. Two thresholds are used: Distance Alert – When price approaches the EMA, the distance value turns red. Blink Distance – When price is extremely close to the EMA, the value starts blinking. This helps traders prepare for potential price reactions or reversals. 6. Blinking Proximity Alert When enabled, the dashboard distance value blinks red and white if price gets very close to the EMA. For XAUUSD, this is useful because: Gold often reacts strongly around moving averages Traders can anticipate pullback entries 7. Current Timeframe Highlight The dashboard automatically highlights the currently selected timeframe on the chart. This helps traders quickly identify which row corresponds to the active chart timeframe. 8. Customizable Dashboard Position The dashboard can be placed in four positions: Top Left Top Right Bottom Left Bottom Right This allows traders to adjust the layout based on their chart setup. 9. Custom Color Settings Users can customize: Header text color Timeframe text color Distance value color This improves chart readability during trading sessions. Summary The EMA14CHANUT Indicator is a multi-timeframe EMA analysis tool designed to help traders monitor the relationship between price and EMA14 when trading XAUUSD. Key benefits include: Clear trend identification Multi-timeframe confirmation Real-time dashboard monitoring Price-to-EMA distance analysis Visual alerts when price approaches EMA Overall, it helps traders make faster and more informed decisions when trading gold in fast-moving market conditions.
Penunjuk Pine Script®
oleh Chanut
1
Value Area Levels [crlmx]Calculated from native volume-at-price data vaLevels shows Value Area levels (VAH, POC, VAL) across three independently configurable timeframes. Requires TradingView Premium or above plan for Footprint data access, Short of that refere to Lite version (coming soon). Key Features - Three independent VA slots with on/off toggles - Timeframe selection: D, W, M, 30min, 1H, 4H, 8H, 12H - Session-based VA on slot 3: NYC, London, Asia, Custom - Custom session with user-defined time window and label prefix - Auto-calculated row resolution per instrument type - Manual ticks-per-row override for fine-tuning - Configurable Value Area percentage (default 68%) - Individual VAH, POC, VAL toggles per slot - Optional price display in labels - Requires TradingView Premium or Ultimate plan - Streamlined input / UI brought to you by crlmx Trading Applications - Map previous day area against weekly and session VAs to identify confluence zones - Track VAH/VAL as breakout triggers when price moves outside the prior value area - Compare session VA (NYC/LDN) against daily VA to for reactions - When daily and weekly VAs overlap, expect stronger reactions at the shared boundary - Combine with prLevels for a complete prior-level picture (price levels + volume levels) - Recommended Settings Intraday S/R: D + W + NYC | Chart: 1-15 min Session Trading: D + 4H + LDN | Chart: 1-5 min Swing Reference: D + W + M | Chart: 30 min - 4H Version History - v0.10: Initial release
Penunjuk Pine Script®
oleh crlmx
Inventories vs. RevenueWhat the indicator does: Both values ​​(Inventories & Revenue) are normalized to an index of 100 – meaning the starting value from 5 years ago is 100. This allows for a direct comparison of the two figures despite their different units (millions/billions), and you can immediately see their relative development. The red background appears whenever inventories have increased in the current quarter compared to the previous quarter while revenue has decreased, or inventories have remained the same while revenue has decreased, or inventories have increased while revenue has stagnated. A change is assumed to have a delta of 2% compared to the previous value.
Penunjuk Pine Script®
oleh finanziellselbstbestimmt
VWAP [crlmx] Flexible Volume Weighted Average Price (VWAP) for clean volume-weighted fair value benchmark and trend direction. Key Features - Adjustable VWAP Anchor - 30min, 1H, 2H, 4H, 8H, 12H, D, W, M, Q, Y - Sessions New York, London, Asia, with adjustable time - Clean session breaks, no skews in VWAP line - Period limit fearure (default 3) hides older periods - Streamlined inputs/UI brought to you by crlmx Trading Applications - Intraday anchors (30min-12H): scalping and day trading - Daily anchor: traditional intraday analysis - Weekly/Monthly/Quarterly: swing trading context - Yearly: long-term fair value - Configuration examples: Scalping: 30min-1H anchor | Limit: 5-10 | Bands: On | Multiplier: 1.0-1.5 Intraday: Day anchor | Limit: 3-5 | Bands: On | Multiplier: 1.0-2.0 Swing: Week-Month | Limit: 3-5 | Bands: Off | VWAP line only Position: Quarter-Year | Limit: 3 | Bands: Off | Fair value reference Version History v1.56 (Latest - 22 Feb 2026) - VWAP display limit feature: shows set amount of periods - Added Market Sessions - Streamlined input panel organisation
Penunjuk Pine Script®
oleh crlmx
Liquidity Voids - Pine V6This TradingView script identifies and visualizes liquidity voids directly on the chart. Liquidity voids are areas where price moves aggressively, leaving behind inefficient price zones with little to no trading activity. These zones often act as magnets for future price action, as the market tends to revisit them to rebalance liquidity. The script automatically detects these liquidity voids and displays them clearly on the chart, making them easy to identify during analysis. It works on all timeframes, allowing traders to use it consistently whether they are scalping on lower timeframes or analyzing higher-timeframe market structure. The indicator is written in Pine Script version 6, ensuring compatibility with the latest TradingView features and optimal performance. Feel free to use it for your own purpose!
Penunjuk Pine Script®
oleh TheoSmits
Price vs PER + Dividend YieldThis indicator visualizes how valuation evolves relative to price movements. It calculates and displays: • Price levels at -30%, -20%, -10%, 0%, +10%, +20%, +30% • Corresponding PER (Price / EPS) • Corresponding Dividend Yield based on TTM dividends • Dynamic horizontal support zones The objective is simple. Help investors visualise how valuation metrics evolve as price moves. How it works: • PER = Price / EPS (TTM) • Dividend Yield = Dividend per Share (TTM) / Price As price changes, both metrics automatically adjust. If fundamental data is not available for a given ticker, manual input can be used. ⚠️ Important This is an initial public version. The goal is to improve it progressively with community feedback. Suggestions, improvements and ideas are very welcome. The script is designed to evolve. 🤖 This script was developed iteratively through multiple exchanges with ChatGPT. It has been refined step by step to reach a first functional version.
Penunjuk Pine Script®
oleh Jordan_Montel_Investissement
Liquidity Radar# Liquidity Radar ## Overview Liquidity Radar is a Smart Money Concepts (SMC) indicator that visualizes where institutional liquidity rests in the market. It combines automatic market structure detection (BOS & CHoCH), a thermal liquidity heatmap, dynamic order blocks, and fair value gaps into a single, performance-optimized overlay. **Free & Open Source** — no invite-only access, no paywall. Full source code, fully transparent. ## The Concept: Why Liquidity Matters In institutional trading, **liquidity pools** form above swing highs and below swing lows — these are clusters of stop-loss orders from retail traders. Smart money targets these pools to fill large positions. Understanding where liquidity rests gives you an edge in anticipating price movements: - **Swing High Liquidity** — Stop-losses from short sellers sit above swing highs - **Swing Low Liquidity** — Stop-losses from long buyers sit below swing lows - **Liquidity Sweeps** — When price takes out a swing level to grab these stops, it often reverses The indicator automates the detection and visualization of these key levels. ## Core Features ### 1. Thermal Liquidity Heatmap The signature feature. Liquidity zones appear at every confirmed swing high and swing low with a thermal color gradient: - **Fresh zones** — Warm colors (orange/yellow) indicate high relevance - **Aging zones** — Cool colors (purple/blue) indicate decreasing relevance as time passes - **Volume-weighted intensity** — Zones formed on high-volume bars appear more intense - **Auto-cleanup** — Zones fade out over a configurable decay period and are removed when price sweeps through them ### 2. Market Structure Detection (BOS & CHoCH) Automatic swing high/low detection using pivot-based logic: - **BOS (Break of Structure)** — Price breaks a prior swing level in the trend direction (continuation). Shown as dashed lines. - **CHoCH (Change of Character)** — Price breaks a prior swing level against the trend (potential reversal). Shown as solid lines with thicker width. - Color-coded: Cyan/Teal = bullish, Magenta/Pink = bearish ### 3. Dynamic Order Blocks Institutional supply and demand zones rendered as semi-transparent boxes: - **Bullish OB** — The last bearish candle before a strong bullish move (at swing lows) - **Bearish OB** — The last bullish candle before a strong bearish move (at swing highs) - Configurable mitigation threshold — controls how much price must penetrate the block before it is considered mitigated - Auto-removed when price closes through the block ### 4. Fair Value Gaps (FVG) Three-candle inefficiency detection: - Bullish FVG: Gap between candle 1's low and candle 3's high - Bearish FVG: Gap between candle 1's high and candle 3's low - ATR-based noise filter removes insignificant gaps - Auto-removed when price fills the gap - Default: OFF (toggle on in settings) ### 5. Premium / Discount Zones Based on the current swing range: - **Premium Zone** (upper half) — Light red background - **Discount Zone** (lower half) — Light green background - **Equilibrium Line** (50%) — Dashed amber line - Default: OFF (toggle on in settings) ## Dashboard A compact, dark-themed info panel displaying: - **Trend** — Current market direction (Bullish / Bearish / Neutral) - **Structure** — Last detected structure signal (BOS or CHoCH) - **Liq. Heat** — How many liquidity zones are near the current price (High / Medium / Low) - **Volume** — Above or below 20-period average - **Momentum** — RSI(14) status (Overbought / Neutral / Oversold) - **Next Zone** — Nearest liquidity zone with price level and distance in percent ## Auto-Timeframe Adaptation All parameters automatically adjust to your chart timeframe: | Timeframe | Swing Lookback | Heatmap Decay | |-----------|---------------|---------------| | 1-5 min | 6 | 100 bars | | 15 min | 10 | 80 bars | | 30 min | 12 | 80 bars | | 1 Hour | 15 | 60 bars | | 4 Hour | 22 | 50 bars | | Daily | 35 | 40 bars | | Weekly+ | 50 | 30 bars | You can switch to manual mode for full control. ## Alert Types (7) 1. Bullish BOS — Break of Structure confirmed (continuation up) 2. Bearish BOS — Break of Structure confirmed (continuation down) 3. Bullish CHoCH — Change of Character detected (potential reversal up) 4. Bearish CHoCH — Change of Character detected (potential reversal down) 5. Bullish Liquidity Sweep — Swing high liquidity taken 6. Bearish Liquidity Sweep — Swing low liquidity taken 7. Price Entering Order Block — Price enters a bullish or bearish OB zone ## Settings **Market Structure:** - Show BOS / CHoCH (on/off) - Auto Swing Lookback (on/off) - Manual Swing Lookback (3-100) - BOS / CHoCH line styles and width **Liquidity Heatmap:** - Show Heatmap (on/off) - Auto Decay Period (on/off) - Manual Decay (10-500 bars) - Zone Width (ATR multiplier) - Volume-Weighted Intensity (on/off) - Max Active Zones (4-20) **Order Blocks:** - Show Order Blocks (on/off) - Max OBs per Side (1-6) - Mitigation Threshold (0.0-1.0) **Fair Value Gaps:** - Show FVGs (on/off, default OFF) - Min FVG Size (ATR multiplier) - Max Active FVGs (2-15) - FVG Extend (bars) **Premium / Discount:** - Show Zones (on/off, default OFF) - Zone Transparency **Dashboard:** - Show Dashboard (on/off) - Position (Top Right / Top Left / Bottom Right / Bottom Left) - Size (Tiny / Small / Normal) **Visual Settings:** - All 5 colors fully customizable - Watermark (on/off) ## Non-Repainting All signals are calculated on confirmed (closed) bars only. Pivot detection inherently requires N bars of confirmation on each side. BOS/CHoCH signals fire on the bar where the break occurs, after the swing point is already confirmed. What you see is what happened — no hindsight bias. ## Works On - Crypto (BTC, ETH, SOL, ...) - Forex (EUR/USD, GBP/JPY, ...) - Stocks (AAPL, TSLA, NVDA, ...) - Futures & Indices (NQ, ES, SPX, ...) - Any timeframe from 1 minute to Monthly ## Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Penunjuk Pine Script®
oleh alphachart_tv
Fair Interest Rate Ladder (Auto + Info)Description: The Fair Interest Rate Ladder indicator is designed to visualize the "fair value" of interest rate instruments (bond futures, rate swaps, etc.), accounting for accrued interest or carry costs. It plots a step-line that converges toward a target base point as the expiration date approaches. Key Features: Auto-Spread Detection: The indicator automatically detects if you are using a spread formula (e.g., ZN1!-100). If detected, the anchor point automatically shifts from 100 to 0. Adjustable Rate & Direction: Easily set the annual percentage rate and choose the price convergence direction (upward or downward toward expiration). Leap Year Accuracy: Mathematically precise calculations based on the actual number of days in the current year (365 or 366). Dashboard: A real-time table in the top-right corner displays the exact Fair Value and the countdown of days remaining until expiration. Expiration Tracking: A distinct red "zero line" and a visual label marking the contract's end date. How to use: Input the start and expiration dates of your contract, set the current interest rate, and the indicator will show where the price should theoretically be trading today. Russian (Русский) Описание: Индикатор Fair Interest Rate Ladder предназначен для визуализации «справедливой стоимости» процентных инструментов (фьючерсов на облигации, ставки) с учетом накопленного купона или процентного дохода. Он строит ступенчатую линию, которая стремится к целевой точке (базе) по мере приближения даты экспирации. Основные возможности: Автоматика для спредов: Индикатор автоматически определяет, используете ли вы формулу спреда (например, ZN1!-100). В этом случае точка нуля автоматически смещается со 100 на 0. Гибкая настройка ставки: Возможность задать годовую процентную ставку и направление движения цены (вверх или вниз к экспирации). Учет високосных лет: Математически точный расчет на базе количества дней в текущем году (365 или 366). Инфо-панель: В правом верхнем углу отображается таблица с текущим расчетным значением Fair Value и счетчиком дней до экспирации. Визуализация экспирации: Четкая красная линия «горизонта» и метка даты окончания контракта. Как использовать: Введите дату начала и дату экспирации вашего контракта, укажите актуальную ставку, и индикатор покажет, где должна находиться цена сегодня относительно её теоретического идеала.
Penunjuk Pine Script®
oleh Another363
Institutional Value Relocation VerdictSummary in one paragraph Value Relocation Verdict ARD is an acceptance versus rejection classifier for liquid instruments on intraday to daily timeframes. It helps you act only when multiple conditions align after price pushes beyond a boundary. It is original because it treats every break as a probe and scores whether value is relocating using a break anchored VWAP relocation metric fused with time outside, extension, outside volume share, pullback quality, and failure velocity back into value. Add it to a clean chart, read the compact decision table, and use the visuals or alerts. Shapes can move while the bar is open and settle on close. For conservative alerts select on bar close. Scope and intent • Markets. Major FX pairs, index futures, large cap equities, liquid crypto • Timeframes. One minute to daily • Default demo used in the publication. NQ1! on 15 minute • Purpose. Prevent trading raw breakouts and raw fades before the market proves acceptance or rejection • Limits. This is an indicator. It does not place orders and does not simulate fills Originality and usefulness This is not a mashup of common indicators. It is a state machine that measures what happens after a boundary is breached. • Unique concept or fusion. Breaks are treated as probes and classified by value relocation using break anchored VWAP plus behavioral metrics outside the boundary • What failure mode it addresses. False starts in chop, one bar breakouts that reverse, and fades taken too early when value is actually relocating • Testability. The table shows the live decision, the two competing scores, and the driver metrics so users can verify why a suggestion appears • Portable yardstick. All distances are normalized in ATR units so thresholds travel better across symbols • Protected scripts. Public open source, implementation visible Method overview in plain language Base measures • Range basis. True Range smoothed with ATR over ATR length • Value basis. Session anchored VWAP defines a value center, with a configurable VWAP band as the value zone Components • Boundary selection. Choose prior day high and low, opening range, prior week high and low, VWAP band edges, or custom levels • Probe state. A probe begins when price crosses a boundary. The boundary is frozen for the probe so time outside and velocity are measured consistently • Acceptance score. A 0 to 100 score built from closes outside, max extension beyond the boundary, outside volume ratio, break anchored VWAP relocation, defense touches, expansion context, and a pullback penalty • Rejection score. Evaluated only when price re enters the boundary. It fuses sweep size, snapback depth, fail velocity, speed of re entry, RVOL, compression context, and a value zone re entry bonus • Context regime. A light regime classifier uses session VWAP slope and a higher timeframe EMA slope to bias acceptance slightly in trend direction and boost rejection slightly in ranges • Session windows optional. Session follows the exchange time of the chart. Verify when changing symbol or venue Fusion rule • Two separate scores are maintained during a probe: Acceptance score and Rejection risk • During the probe, the table shows a Lean decision based on the score spread: Acceptance score minus Rejection risk • Thresholds for ACC and REJ are explicit in Inputs and the drivers are visible in the table Signal rule • ACC Up appears when a probe above the boundary reaches acceptance score threshold for the configured confirm bars, closes remain outside the buffer, and chase distance is not excessive • ACC Down is symmetric for probes below the boundary • REJ Up appears when price re enters the boundary after probing above and rejection score meets its threshold • REJ Down is symmetric for probes below the boundary • WAIT shows when no probe is active or when neither side has a clear edge What you will see on the chart • Active boundary line. Thick line at the frozen probe boundary • Value zone. Optional VWAP band fill and optional VWAP lines for context • Probe band. Optional thin band around the boundary equal to the outside buffer • Break VWAP. Optional line during the probe that shows break anchored VWAP • Markers. ACC and REJ markers on the bar where the model resolves • Optional plan overlay. Entry, stop, and target lines for the last resolved signal, informational only • Compact table. A decision dashboard with Lean, State, Regime, ACC score, REJ risk, and the drivers Table fields and quick reading guide • Decision. Lean ACC, Lean REJ, or Wait • State. Idle, Probe Above, Probe Below, Waiting Levels, or Out of Session • Regime. Trend Up, Trend Down, or Range • ACC Score. 0 to 100 plus a bar gauge • REJ Risk. 0 to 100 plus a bar gauge • Boundary. Frozen boundary price during the probe • Value VWAP. Session anchored VWAP price • Outside. Closes outside count versus Accept min closes outside • Delta. ACC Score minus REJ Risk, used to express separation • Drivers shown by preset. Extension ATR, Reloc ATR, Out Vol, Pull ATR, RVOL, Fail Vel, Sweep ATR, Snap ATR, Expansion, Compression Reading tip. When Session is ON and Delta shows clear separation, outcomes tend to be easier to manage than when both scores are similar. Inputs with guidance Setup • Theme. Dark or Light. Matches chart background for readability • Preset. Minimal, Standard, Pro. Minimal is the clean chart default • Session and Require session. Typical use is ON for index futures and intraday equity sessions • Cooldown bars. Typical range 0 to 15. Higher reduces clustered probes • Max probe bars. Typical range 20 to 120. Lower avoids stale probes • Decision delta. Typical range 10 to 25. Higher demands more separation before leaning Levels • Mode. Prev Day HL, Opening Range, Prev Week HL, VWAP Band, Custom • Opening range minutes. Typical 15 to 60 on intraday charts • Break trigger. Close is more conservative. Wick is earlier but noisier • VWAP band width ATR. Typical 0.5 to 1.5 • Custom upper and Custom lower. Only active in Custom mode. Both must be greater than 0 and upper must be greater than lower Scoring • Outside buffer ATR. Typical 0.05 to 0.30. Higher requires stronger closes outside • Accept min closes outside. Typical 3 to 10. Higher confirms slower relocations • Accept min extension ATR. Typical 0.6 to 1.8. Higher demands stronger expansion • Accept min outside volume ratio. Typical 0.45 to 0.80. Higher demands conviction • Accept min relocation ATR. Typical 0.10 to 0.50. Higher demands value shift beyond the boundary • Accept max pullback ATR. Typical 0.30 to 1.00. Lower penalizes weak holding • Accept confirm bars. Typical 1 to 3. Higher reduces one bar acceptance • Accept score threshold. Typical 60 to 85 • Accept max chase distance ATR. Typical 0.8 to 2.0. Lower avoids late entries • Defense touches needed and defense touch distance ATR. Use 0 to disable. Typical 1 to 2 touches, 0.15 to 0.35 distance Rejection scoring • Reject max closes outside before re entry. Typical 2 to 6. Lower demands fast failure • Reject min fail velocity. Typical 0.3 to 1.0. Higher demands sharper failure • RVOL length and reject min RVOL. Typical 20 and 1.1 to 1.8 • Reject min sweep ATR and reject min snapback ATR. Typical sweep 0.25 to 0.80, snap 0.10 to 0.50 • Reject score threshold. Typical 60 to 85 Context • Context timeframe. Typical 15, 30, or 60 minutes for intraday • Context EMA length. Typical 34 to 100 • VWAP slope bars and trend slope threshold. Typical 4 to 12 bars, threshold 0.05 to 0.15 • Bias scores by regime. ON by default. Turn OFF if you want pure probe math only UI • Show signals, probe band, value fill, value lines, signal labels • Table position and table size Clean default. Minimal preset with value fill ON, value lines OFF, and labels OFF Usage recipes Intraday trend focus • Preset Standard • Context timeframe 30 • Bias scores by regime ON • Accept score threshold 75 • Reject score threshold 80 • Break trigger Close • Decision delta 20 Intraday mean reversion focus • Preset Standard • Mode Prev Day HL or Opening Range • Bias scores by regime ON • Reject max closes outside 3 • Reject min sweep 0.35 and snapback 0.20 • Reject score threshold 70 • Decision delta 15 Swing continuation • Timeframe 60 minutes to 4 hours • Context timeframe 1 day • Increase Accept min closes outside and Accept confirm bars • Increase Max probe bars • Use Close trigger • Raise Decision delta Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • No certainty about the future • Intrabar motion reminder. Shapes can move while a bar forms and settle on close • Standard candles are recommended. Non standard chart types change OHLC and can alter the meaning of sweeps and snapbacks Honest limitations and failure modes • Economic releases and thin liquidity can invalidate sweep and relocation behavior • Gap heavy symbols can distort intrabar probe stats on small timeframes • Very quiet regimes reduce score separation. Consider longer windows or higher thresholds • Session windows use the exchange time of the chart • Custom mode requires valid upper and lower values or the script will wait Open source reuse and credits • None Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Penunjuk Pine Script®
oleh exlux
Logarithmic Fair Value Anchor | PWLogarithmic Fair Value Anchor This indicator overlays a dynamic "fair value" estimate on the price chart, anchored to the momentum and historical relationship of a user-selected reference asset (e.g., gold, broad liquidity proxies, or major indices). It combines logarithmic deviation analysis with relative valuation to adapt to the anchor's behavior, offering a flexible tool for exploring cross-asset divergences, mean-reversion setups, and contextual extremes. Core Mechanics and Math Overview The fair value starts with a baseline: an EMA-smoothed ratio of price to the anchor over the lookback period (default 180 bars). This ratio reflects the historical "normal" relationship between the chart symbol and the anchor. Anchor momentum is added via the smoothed 1-period ROC of the anchor, scaled by a user-adjustable Momentum Influence Scale (default 5.0 — lower values increase responsiveness). This scaled influence is exponentially applied to adjust the baseline ratio. An optional correlation filter weights the adjustment using absolute log-price correlation (with threshold and manual multiplier). The result is DEMA-smoothed (default length 14) for a responsive yet stable fair value line. Deviation bands are built multiplicatively around this fair value using exp(deviation * level), preserving log-scale compatibility. Three band types are available: Log Stdev: Standard deviation of log(price / fair value) — dynamic, volatility-responsive. Static Sigma: Fixed user-defined deviation (default 0.15) — consistent relative widths. ATR: Relativized ATR converted to log deviation — range-based smoothing for volatile markets. Bands use asymmetric multipliers (defaults 1.8 upper / 1.25 lower) with three levels, fills, and markers for visual clarity. Key Features Anchor Flexibility: Choose from Gold (XAUUSD), Silver (XAGUSD), S&P 500 (SPX), BTC, or experimental proxies (GLI/M2 aggregates from FRED/ECONOMICS data). Trend and Visuals: Trend detection (price vs. offset fair value) with optional bar coloring, background highlights for extremes, and diamond markers for overbought/oversold. Enhanced Info Table (toggleable): Shows current fair value, selected anchor, band type, bias (LONG/SHORT/NEUTRAL), trend duration, trend quality (% clean bars), strength rating (icon-based), z-score deviation (effective band multiple in sigmas + approximate percentile), and valuation (Overvalued/Undervalued/Fair). Customization: Lookback, offset, smoothing, momentum scale, correlation weighting, band type, multipliers, bar color toggle — adaptable to different assets/timeframes. What Makes This Approach Distinct The script uses a smoothed price-to-anchor ratio as its baseline, then applies scaled logarithmic momentum influence to create a fair value that respects both history and external dynamics. This differs from pure moving averages or direct ratio models by incorporating cross-asset momentum in a log framework. Band variety and detailed trend quality/strength metrics provide practical tools for navigating volatility regimes and assessing trend reliability — features not commonly combined in one overlay. Usage Suggestions Crypto: Anchor to GLI/M2 for liquidity context; ATR bands help manage volatility. Watch high z-score/percentile or low trend quality for reversals. Equities/Commodities: Gold for inflation views, S&P for market ties; static sigma for stable benchmarks. General Tips: Use log scale for visual alignment. Offset (default 90) projects fair value forward. Leverage table metrics — e.g., quality >80% for stronger trends, strength icons for momentum conviction, valuation extremes for mean-reversion ideas. Test anchors and scales to fit your market. This is an exploratory relative-valuation overlay — results vary by anchor, conditions, and settings. Not financial advice; backtest thoroughly and verify independently. Notes Pine Script v6; requires access to external symbols via request.security(). Minor repainting possible on realtime bars due to smoothing and external data. Community feedback welcome for refinements!
Penunjuk Pine Script®
oleh PaulWegelin
Historical Annual Avg Growth Lines + 1-Year ProjectionThis script creates an overlay indicator on your TradingView chart that visualizes the historical average annual growth rate of the selected instrument (e.g., TSLA) in a specific way. Here's a step-by-step summary of what it represents and how it works: Overall Purpose It calculates the average annual percentage gain (arithmetic mean) across the instrument's entire trading history, using non-overlapping periods of 252 trading days each (approximating one year, excluding weekends/holidays). It then draws horizontal green lines on the chart for each complete "year" segment, showing a projected "fair value" price level for that year based on the overall average growth rate. This helps you compare actual historical price action against what the price "would have been" if it had grown steadily at the stock's long-term average annual rate. Lines above actual prices suggest periods where growth exceeded the average (potentially overvalued in hindsight), while lines below suggest underperformance (potentially undervalued). The calculation excludes the most recent incomplete year (any bars beyond the last full 252-day segment), ensuring only fully realized historical periods are used. Key Calculations Identifying Complete Years: It divides the chart's data from the first trading day (bar_index 0) into segments of exactly 252 bars each. For example: Year 1: Bars 0 to 251 Year 2: Bars 252 to 503 And so on, up to the last full segment before the current bar. If the total bars aren't a perfect multiple of 252, the partial current year is ignored. Average Annual % Gain: For each complete year segment: It computes the % gain as (end_price - start_price) / start_price. Sums these % gains across all years and divides by the number of years to get the overall average (e.g., if TSLA averaged 42% per year historically, that's the value used). Projected Price Lines: For each year segment: Takes the starting price of that year. Applies the overall average % gain to project a "target" end-of-year price: start_price * (1 + average_annual_gain). Draws a horizontal line at that projected price level, spanning only the bars of that specific year (e.g., a flat green line covering 252 bars, positioned above or below the actual price action for visual comparison). Visual Representation Horizontal Lines: Each green line is flat and covers one historical year block on the chart. Earlier years (left side) will have lower projected prices (reflecting lower starting prices), while later years (right side) will have higher ones as the base price compounds over time—but each is independent and based on that year's start. No Smoothing or Rolling: Unlike a moving average, these are static historical segments (non-overlapping), recalculated only on the last bar for efficiency. Example on TSLA: Assuming TSLA's long-term average annual gain is ~42% (based on its history since 2010 IPO), the line for Year 1 would be at * 1.42, spanning the first 252 bars. Year 2 would start from the actual price at bar 252 and project * 1.42, and so on. If lines are consistently above actual prices in recent years, it might indicate recent growth slowing relative to historical averages. Forward Projection (1 Year Out) The script also extends a dashed orange horizontal line to the right of the current bar, projecting the price one year into the future based on the same historical average annual growth rate. It starts from the end price of the last complete historical year as the base. Applies the average % gain once more to estimate the "target" price after another 252 trading days (e.g., base_price * (1 + average_annual_gain)). The line is dashed and orange for distinction, extending approximately 252 bars to the right (scroll or zoom right to view the full projection). This provides a visual guide for where the price "might" trend if growth continues at the historical average, helping with long-term investment planning like setting targets or assessing potential upside.
Penunjuk Pine Script®
oleh toppermost
1
Auto-DCF and Margin of Safety SetupDescription Overview This indicator provides a dual-layered approach to stock valuation by combining a Discounted Cash Flow (DCF) model with Technical Momentum filters. It is designed for investors who seek to align fundamental "Fair Value" with high-probability technical entry points. How It Works The script automates the valuation process by fetching real-time financial data directly from TradingView’s database. Fundamental Valuation (DCF): FCF Projections: It retrieves Free Cash Flow (TTM) and Total Shares Outstanding to calculate FCF per share. Growth & Discounting: It projects FCF forward for 10 years based on your "Expected Annual Growth Rate" and discounts those values back to the present using the "Discount Rate" (WACC). Terminal Value: A terminal value is calculated using a exit multiple (P/FCF) at Year 10 to account for the company's value beyond the projection period. Intrinsic Value: The sum of all discounted cash flows and the terminal value represents the Intrinsic (Fair) Value, plotted as gray circles. Margin of Safety (MoS): A "Buy Limit" line (green) is plotted at a user-defined percentage below the Intrinsic Value. This represents the "Margin of Safety" popularized by Benjamin Graham to account for errors in estimation. Technical Filters (The "Buy Setup"): A visual Buy Zone appears only when three conditions align: Value: Price is trading below the Margin of Safety. Momentum: The RSI is in "Oversold" territory (default < 35). Price Action: The stock is in a "Deep Pullback" (defined as a 15% drop from its 50-bar high). How to Use Settings: You must adjust the Growth Rate and Discount Rate based on the specific company’s historical performance and risk profile. Visuals: When a setup occurs, the script draws a green box, a technical Stop Loss (based on a buffer below the low), and a Tech Target (a 50% retracement of the recent drop). Limitations: This script requires request.financial data. It is intended for Stocks only. If no financial data is available for a ticker (e.g., Crypto or Forex), an error label will appear. Disclaimer This script is for educational purposes only and does not constitute financial advice. DCF models are highly sensitive to input variables; small changes in growth or discount rates can significantly alter the Fair Value.
Penunjuk Pine Script®
oleh TheTankTrades
ICT Bias ProICT Bias Pro: Dashboard + First Hour Range & Session FVGs This indicator is a comprehensive "Bias Builder" designed for traders who follow Inner Circle Trader (ICT) concepts. It combines a multi-timeframe trend dashboard with a specific intraday strategy derived from ICT's recent teaching: "How Do I Engage Markets When I Don't Have An Initial Bias?" The tool is designed to help traders find confluence between the Macro trend (Daily/4H) and the Micro execution (15M/5M) during the New York AM Session. Features & Methodology 1. Multi-Timeframe Bias Dashboard Located in the corner of your chart, this dashboard provides a quick "Traffic Light" view of the market structure across 4 key timeframes: Daily & 4-Hour: Establishes the macro direction. 15-Min & 5-Min: Monitors intraday order flow. Logic: Bias is determined by comparing price relative to the 20 EMA and checking for Market Structure alignment. Green = Bullish, Red = Bearish. 2. The "First Hour" Trading Range (No-Bias Strategy) Following ICT’s specific logic for days when bias is unclear, this tool automatically highlights the 9:30 AM – 10:30 AM (New York Time) trading range. Range High & Low: Defining the volatility of the opening hour. Equilibrium (50%): The "Line in the Sand." Price holding above the 50% signals bullish strength (Premium); price below signals bearish weakness (Discount). Quadrants (25% & 75%): Deep discount/premium zones for precision entries. 3. Session-Specific Fair Value Gaps (FVG) The indicator automatically detects and draws Fair Value Gaps that form only within that critical first hour of trading. Auto-Extension: Boxes extend to the right until price "mitigates" (fills) them. Consequent Encroachment (C.E.): Automatically plots the 50% dashed line inside every FVG, a key institutional support/resistance level. Smart Mitigation: Once a gap is filled, the box changes color (user-selectable) to indicate it is no longer an active magnet. How to Use This Indicator This tool is designed to identify Confluence: Check the Dashboard: Look for alignment on the Daily and 4H timeframes (e.g., Both Green). Wait for 10:30 AM EST: Allow the script to draw the First Hour Range. Trade the Confluence: Bullish Setup: If the Dashboard is Green, look for price to hold above the 50% Equilibrium of the First Hour Range. Look for entries inside Bullish FVGs that form near the 50% or 75% levels. Bearish Setup: If the Dashboard is Red, look for price to reject the 50% Equilibrium and stay in the lower half. Target Bearish FVGs near the 50% or 25% levels. Settings & Customization Dashboard Toggle: Show or hide the table to keep charts clean. Colors: Fully customizable colors for Range High/Low, FVGs (Bullish/Bearish), and Mitigated gaps. Text Positioning: Adjust FVG labels (Left/Center/Right) to prevent visual clutter on candles. Credits & Attribution Concept: Inner Circle Trader (Michael Huddleston). Core Strategy: Based on the video "How Do I Engage Markets When I Don't Have An Initial Bias?" Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results.
Penunjuk Pine Script®
oleh DivergentTrades
Blockcircle Price Gaps (PG)I got tired of price gap indicators that dump every zone on the chart and leave you to figure out which ones actually matter. I have tried every single one imaginable. Therefore, I built this one to score each gap automatically based on how close it is, how it formed, and whether it aligns with the trend. Instead of cryptic numbers, it just tells you: Strong, Moderate, or Weak, plus how far away it is. You see what matters, skip what doesn't. Hopefully, you find it helpful! If you have other ideas to improve it even further, please let me know, and I can integrate them. WHAT MAKES IT ORIGINAL AND DIFFERENT Standard gap indicators display every detected imbalance with identical visual treatment, leaving traders to manually assess which zones matter. This creates cluttered charts and analysis paralysis. This BLOCKCIRCLE PRICE GAPS (PG) indicator solves that problem with a Relevance Engine that automatically scores each gap from 0 to 100 and translates scores into plain language: Strong, Moderate, or Weak. Each zone displays its strength rating and distance from the current price, so you instantly know which gaps deserve attention and how far the price must travel to reach them. The scoring combines four factors that research shows correlate with zone effectiveness: Proximity: Gaps closer to the current price score higher because nearby zones influence immediate price action more than distant ones. Formation Volume: Gaps created during above-average volume suggest institutional activity rather than random price movement. Impulse Strength: Gaps formed by strong moves (measured against ATR) indicate genuine supply/demand imbalance rather than noise. Trend Alignment: Support gaps in uptrends and resistance gaps in downtrends receive bonus points for trading with momentum. Visual intensity reflects strength automatically. Strong zones appear darker and more prominent. Weak zones fade into the background. You see what matters without decoding numbers. HOW IT WORKS Price Gaps form when aggressive buying or selling creates an imbalance, leaving unfilled space between candles. These zones often act as support (bullish gaps below price) or resistance (bearish gaps above price) when the price returns to them. Detection uses the standard three-candle method: a bullish gap exists when the current low exceeds the high from two bars prior. A bearish gap exists when the current high falls below the low from two bars prior. What makes this implementation different is continuous relevance tracking . Each bar, every gap receives an updated score based on current conditions . As the price moves away, the proximity scores decrease. As gaps age, time decay gradually reduces their overall relevance. When capacity limits are reached, the lowest-scoring gap is removed first, ensuring your chart always shows the most actionable zones. Labels show practical information: Strength rating (Strong, Moderate, or Weak) Zone type (Support or Resistance) Distance from current price with direction (+12% means above, -8% means below) FEATURES Relevance scoring with automatic strength classification Plain-language labels showing strength and distance Color intensity that reflects zone importance Retest detection when price returns to unfilled gaps Proximity filtering to hide distant zones Age filtering to remove stale gaps Size filtering for minimum and maximum gap thresholds Relevance-based capacity management Information panel with zone counts and trend context Multiple label style options HOW THE COMPONENTS WORK TOGETHER The system operates as a filtering pipeline: Size filters remove gaps that are too small (market noise) or too large (extreme events unlikely to fill). The Relevance Engine scores qualifying gaps based on proximity, volume, impulse, and trend. Gaps below the minimum score threshold are hidden. Proximity and age filters remove distant or stale gaps. When at capacity, the lowest-scoring gap is removed to make room for new detections. This layered approach ensures only the most relevant gaps appear on your chart. CONFIGURABLE SETTINGS Display Settings control how many zones appear and how they are displayed. Label Style lets you choose what information displays: Strength plus Distance (default), Strength Only, Distance Only, Score Only, or None. Relevance Engine settings include the master toggle and minimum score threshold. The Scoring Weights section allows advanced users to adjust how much each factor contributes. Filters control size thresholds, maximum distance from price, and maximum age in bars. Retest Alerts notify you when the price returns to an unfilled gap with three sensitivity options. Zone Behavior controls whether filled gaps are removed and what counts as a filled gap. HOW TO USE The default settings work well for most timeframes and markets. Strong zones (shown in brighter colors with yellow text) have multiple factors aligned and deserve the most attention. Moderate zones are worth watching. Weak zones provide context but may not produce reliable reactions. For active trading, focus on Strong and Moderate zones within 10% of the current price. These are the most likely to influence near-term price action. For swing trading, expand the Maximum Distance setting to see zones further from the price that may become relevant as trends develop. When the Retest alert fires, the price is returning to an unfilled gap. Evaluate the zone strength, look for price reaction at the zone boundary, and consider whether the move aligns with the broader trend before trading. The information panel shows: Support: Count of bullish gaps (potential buying zones) Resistance: Count of bearish gaps (potential selling zones) Unfilled: Zones not yet touched by price Avg Strength: Overall quality of visible zones Trend: Current direction based on EMA alignment LIMITATIONS Relevance scoring is probabilistic, not predictive. A Strong gap is more likely to produce a reaction based on historical patterns, but any zone can fail. The trend component uses EMA crossovers (20/50/200), which may lag in choppy markets. Distance calculations update each bar. During volatile moves, labels may briefly show different values as price swings. DEFAULTS These are the defaults, but you would adjust and calibrate it to a specific asset, as needed: Maximum Zones: 12 Label Style: Strength + Distance Minimum Score: 20 Maximum Distance: 25% Maximum Age: 300 bars If you have any questions at all, please ask away!
Penunjuk Pine Script®
oleh blockcircle
BTC Fundamental Value Hypothesis [OmegaTools]BTC Fundamental Value Hypothesis is a macro-valuation and regime-detection model designed to contextualize Bitcoin’s price through relative market-cap comparisons against major capital reservoirs: Gold, Silver, the Altcoin market, and large-cap equities. Instead of relying on traditional on-chain metrics or purely technical signals, this tool frames BTC as an asset competing for global liquidity and “store-of-value mindshare”, then estimates an implied fair value based on how BTC historically coexists (or diverges) from these benchmark universes. Core concept: relative market-cap anchoring The indicator builds a reference-based fair price by translating external market capitalizations into implied BTC valuation using a dominance framework. In practice, you choose one or more reference universes (Gold, Silver, Altcoins, Stocks). For each selected universe, the script computes how large BTC “should be” relative to that universe (dominance ratio), and converts that into an implied BTC price. The final fair price is the average of the implied prices from the enabled universes. Two dominance modes: automatic vs manual 1. Automatic Dominance % (default) When enabled, the model estimates dominance ratios dynamically using a 252-period simple moving average of BTC market cap divided by each reference market cap. This produces an adaptive baseline that follows structural changes over time and reduces sensitivity to short-term spikes. 2. Manual Dominance % If you prefer a discretionary macro thesis, you can directly input dominance parameters for each reference universe. This is useful when you want to stress-test scenarios (e.g., “BTC should converge toward X% of Gold’s market cap”) or align the model with a specific long-term adoption narrative. Reference universes and data construction - BTC market cap: pulled from CRYPTOCAP:BTC. - Gold and Silver market caps: derived from the corresponding futures symbols (GC1!, SI1!) multiplied by an assumed total above-ground quantity (constant tonnage converted to troy ounces). This provides a practical and tradable proxy for spot valuation context. - Altcoin market cap: pulled from CRYPTOCAP:TOTAL2 (total crypto market excluding BTC). - Stocks market cap proxy (Σ3): a deliberately conservative equity benchmark built from three mega-cap stocks (AAPL, MSFT, AMZN) using total shares outstanding (request.financial) multiplied by price. This avoids index licensing complexity while still tracking a meaningful slice of global equity beta/liquidity. Valuation output: overvalued vs undervalued (log-based) The valuation readout is expressed as a percentage derived from the logarithmic distance between BTC price and the model’s fair price. This choice makes valuation comparable across long time horizons and reduces distortion during exponential growth phases. A positive valuation indicates BTC trading below the model’s implied value (undervalued), while a negative valuation indicates trading above it (overvalued). Oscillator: relative momentum and regime confirmation In addition to fair value, the indicator includes a momentum differential oscillator built from RSI(50): - BTC RSI is compared to the average RSI of the selected reference universes. - The oscillator highlights when BTC strength is leading or lagging the broader macro benchmarks. - Color is rendered through a gradient to provide immediate regime readability (risk-on vs risk-off behavior, expansion vs contraction phases). Visualization and UI components - Fair Price overlay: the computed fair price is plotted directly on the BTC chart for immediate comparison with spot price action. - Valuation shading: the area between price and fair price is filled to visually emphasize dislocation and potential mean-reversion zones. - Oscillator panel: a zero-centered oscillator with filled bands helps you identify persistent trend regimes versus transitional conditions. - Summary table: a right-side table displays the current valuation (over/under) and, when Automatic mode is enabled, the live dominance ratios used in the model (BTC/GOLD, BTC/SILVER, BTC/ALTC, BTC/STOCKS). How to use it (practical workflows) - Macro valuation context: use fair price as a structural anchor to assess whether BTC is trading at a premium or discount relative to external liquidity baselines. - Regime filtering: combine valuation with the oscillator to distinguish “cheap but weak” from “cheap and strengthening” (and the inverse for tops). - Mean-reversion mapping: large, persistent deviations from fair value often highlight speculative extremes or capitulation zones; this can support systematic entries/exits, position sizing, or hedging decisions. - Scenario analysis: switch to Manual Dominance % to model adoption outcomes, policy-driven shifts, or multi-year re-rating assumptions. Important notes and limitations (read before use) - This is a hypothesis-driven macro model, not a literal intrinsic value calculation. Results depend on dominance assumptions, proxies, and data availability. - Gold/Silver market caps are approximations based on futures pricing and fixed supply constants; real-world supply dynamics, above-ground estimates, and spot/futures basis can differ. - The Stocks (Σ3) benchmark is a proxy and intentionally not “the whole market”. It is designed to represent a large-cap liquidity reference, not total equity capitalization. - Always validate signals with additional context (market structure, volatility regime, risk management rules). This indicator is best used as a macro layer in a broader decision framework. Designed for clarity, macro discipline, and repeatability BTC Fundamental Value Hypothesis by OmegaTools is built for traders and investors who want a clean, data-driven way to interpret BTC through the lens of competing asset classes and capital flows. It is particularly effective on higher timeframes (Daily/Weekly) where macro relationships are more stable and valuation signals are less noisy. © OmegaTools, Eros
Penunjuk Pine Script®
oleh OmegaTools
XRP Athey Mitchnick Implied Price (Ramp + Analytical 2030 Label)This indicator implements a fundamental valuation framework for XRP based on the Athey–Mitchnick cryptoasset valuation model. Unlike traditional technical indicators (RSI, MACD, etc.), this tool is not designed to predict short-term price movements. Instead, it models what XRP should be worth over time under explicit adoption and demand assumptions. It answers the question: If XRP becomes a real settlement rail and a long-term store of value, what price would be required for the system to function? What This Indicator Adds This implementation extends the static Athey–Mitchnick model by introducing a time-based ramp: 1. Adoption grows over time You specify: TV CAGR (%) SoV CAGR (%) These values compound annually from a start date to an end date (e.g., 2030), producing a dynamic implied valuation curve. 2. Terminal 2030 price is computed analytically The indicator explicitly computes the implied price at the target year (e.g., 2030) and displays it as: “2030 Implied Price = $X” This is done analytically, so the chart does not need to extend to 2030 for you to see the terminal valuation. 3. This is not a trading indicator This model is not designed for: Scalping Breakouts Entry timing Momentum trading It is designed for: Long-term valuation anchoring Scenario modeling Macro thesis testing Adoption-based forecasting Narrative vs fundamentals comparison How to Read the Chart Market Price (Close) This is the actual XRP market price. It reflects: Speculation Liquidity Leverage Narrative Emotion Implied Price (Ramp) This is the fundamental valuation curve. It shows what XRP’s price would need to be at each point in time for your adoption and store-of-value assumptions to be true. Bands (Optional) The ±% bands are valuation tolerance zones. They are not volatility bands. They help visualize: Overvaluation Undervaluation Reversion zones 2030 Label The label: 2030 Implied Price = $X represents the terminal valuation implied by your assumptions. This is the most important output of the model. What Makes the Price Go Higher To increase the implied 2030 price, one or more of these must change: 1. Higher Transaction Adoption (TV) Inputs: TV0 TV CAGR % This reflects real-world economic usage. Higher TV means XRP is settling more real value per day. Examples: Cross-border payments Tokenized assets Treasury settlement Interbank liquidity rails 2. Higher Store-of-Value Demand (SoV) Inputs: SoV0 SoV CAGR % This reflects long-term holding demand. This is the most powerful driver of long-term price. It models: Institutional holdings Strategic reserves Collateral usage Long-term investor behavior 3. Lower Velocity Input: Velocity V Lower velocity means XRP must be held longer to support the same transaction volume. This implies: Reserve-like behavior Collateralization Treasury holding Structural stickiness Price is inversely proportional to velocity. 4. Lower Effective Supply Inputs: Supply0 Supply CAGR Supply cap If XRP becomes locked, escrowed, staked, or structurally held, the effective circulating supply shrinks, increasing price. Why This Matters Most crypto price models are: Technical Reflexive Narrative-driven Non-falsifiable This one is: Structural Adoption-based Testable Falsifiable If XRP never achieves the adoption implied by your inputs, the model will not justify high prices. This indicator is a forward-looking valuation engine, not a trading tool. It shows: What XRP’s price must be for your beliefs about its future to be true. It forces clarity. It forces discipline. And it converts stories into structure.
Penunjuk Pine Script®
oleh avohra77
Value Area PRO (TPO/Volume Session VAH/VAL/POC) 📌 AP Capital Value Area PRO (TPO / Volume) AP Capital Value Area PRO is a session-based value area indicator designed for Gold (XAUUSD), NASDAQ (NAS100), and other CFD instruments. It focuses on where the market has accepted price during the current session and highlights high-probability interaction zones used by professional traders. Unlike rolling lookback volume profiles, this indicator builds a true session value area and provides actionable signals around VAH, VAL, and POC. 🔹 Core Features Session-Anchored Value Area Value Area is built only during the selected session Resets cleanly at session start Levels develop during the session and can be extended forward No repainting or shifting due to lookback changes TPO or Volume Mode TPO (Time-at-Price) mode – ideal for CFDs and tick-volume data Volume mode – uses broker volume if preferred Same logic, different weighting method Fixed Price Bin Size Uses a fixed bin size (e.g. 0.10 for Gold, 0.25–0.50 for NAS100) Produces cleaner, more realistic VAH/VAL levels Avoids distorted profiles caused by dynamic bin scaling VAH / VAL / POC Levels VAH (Value Area High) VAL (Value Area Low) POC (Point of Control) (optional) Lines can be extended to act as forward reference levels 🔹 Trading Signals & Alerts Value Re-Entry Identifies false breakouts where price: Trades outside value Then closes back inside Often seen before strong mean-reversion or continuation moves. Acceptance Detects initiative activity using: Multiple consecutive closes outside value Filters out weak single-candle breaks Rejection Flags strong rejection candles: Large candle body Wick outside value Close back inside the value area These conditions are especially effective on Gold intraday. 🔹 Optional Profile Histogram Right-side volume/TPO histogram Buy/sell imbalance visualization Fully optional to reduce chart clutter and improve performance 🔹 Best Use Cases Recommended markets XAUUSD (Gold) NAS100 / US100 Other index or metal CFDs Recommended timeframes 5m, 15m, 30m Suggested settings Mode: TPO Value Area: 70% Bin size: Gold: 0.10 NAS100: 0.25 or 0.50 🔹 How Traders Use It Trade rejections at VAH / VAL Look for acceptance to confirm trend days Use re-entries to fade failed breakouts Combine with trend filters, EMA structure, or session context ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
Penunjuk Pine Script®
oleh APCapitalTrading