Empiece

Análisis fundamental

Pivot Points {xqweasdzxcv}Pivot Points {xqweasdzxcv} This indicator plots classic Pivot Point levels (PP, S1–S3, R1–R3) using the previous period’s High, Low, and Close. The pivot timeframe is fully customizable (Daily, Weekly, Monthly, etc.), making it suitable for both intraday and swing trading. The script automatically calculates: Pivot Point (PP) Three Support levels (S1, S2, S3) Three Resistance levels (R1, R2, R3) Each level can be individually toggled on or off, with customizable colors, line width, and line style. Price labels are dynamically displayed on the right edge of the chart for quick reference. Designed for clean visuals and practical use, this tool helps identify key market reaction zones, potential reversals, and breakout areas across any timeframe. Created by xqweasdzxcv.
Indicador Pine Script®
por xqweasdzxcv
Bitcoin Halving Cycles [DotGain]Halving Cycles A lightweight, time-anchored Bitcoin halving cycle visualizer built for clean charting, repeatable process planning, and simple profit/DCA timing references. This Code was heavily inspired by KevinSvenson_ who created Bitcoin Halving Cycle Profit . What this indicator does This script plots the key “cycle landmarks” relative to each halving date: Halving (⛏) – the cycle anchor Profit START – marks the beginning of the post-halving profit window (default: 40 weeks ) Profit END / Last Call – marks the final phase of the profit window (default: 77 weeks ) DCA START – marks the point where long-term accumulation becomes the focus again (default: 135 weeks ) How to read it Vertical lines = the exact cycle milestones Bottom labels = description of each milestone aligned to its line (keeps the chart clean) Green background (optional) = active Profit Zone on existing bars Red background (optional) = optional warning zone after Profit END HUD Panel (top-right) The HUD gives you a fast “where are we in the cycle?” view with two modes: Current Cycle Shows: Halving date, Weeks since, and time remaining to Profit START / Last Call / DCA START within the current cycle. Next Halving (Projection) Shows: Countdown to the next enabled future halving, plus the projected weeks from today to Profit START / Last Call / DCA START after that future halving. Future Halvings (manual) You can manually add up to 3 future halving dates (Halving #1–#3). This is useful for forward planning and cycle projection even before the event happens. Enable Halving #1 / #2 / #3 Set Year / Month / Day for each Optional: show/hide future markers & projections Note: background zones only shade existing bars . Future projections are shown via lines/labels. Settings overview Show all cycles – plots every enabled cycle (historical + optional future). If disabled, only the current cycle is drawn. Show Profit Zone background – green shading during the active profit window (current cycle only). Show vertical markers + labels – toggles all milestone lines + labels. Show HUD – toggles the HUD panel. HUD Mode – switch between Current Cycle and Next Halving (Projection). Cycle Logic – edit offsets in weeks (Profit START / Profit END / DCA START). Optional Warning Zone – show a post-profit warning shading for a chosen number of weeks. Have fun :) Disclaimer This Halving Cycles indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. This indicator is an independent implementation of a time-based Bitcoin halving cycle visualization tool and is not affiliated with, or endorsed by, any third-party trading systems, strategies, protocols, or trademarked methodologies. The cycle zones, milestone markers, and countdown values displayed by this indicator are generated by a predefined set of algorithmic rules based on historical halving dates and user-defined time offsets. They do not constitute a direct recommendation to buy, sell, or hold any financial instrument or digital asset. All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator highlights historical and projected time-based market cycles and may produce false, lagging, incomplete, or misleading signals. Market behavior is influenced by many external factors and can deviate significantly from historical patterns or expectations. The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate insights with additional tools or analysis, and consider your personal financial situation and risk tolerance before making any financial decision.
Indicador Pine Script®
por DotGain
Apexflow PRO: Anchored Fair Value + Regime Readiness [v6]## Apexflow PRO — Anchored Fair Value Cloud + Regime Readiness (Non-Repaint Signals) **Apexflow PRO** is an overlay indicator built to answer one core trading question: **“Is price currently cheap, fair, or expensive — and is the market in a regime where that matters?”** Instead of throwing random signals at you, Apexflow PRO combines **anchored fair value**, **market regime detection**, **flow participation**, and **optional cross-market confirmation** into a single, easy-to-read system with a **Readiness Score (0–100)** and clean, non-spam alerts. --- # What you see on the chart ### 1) Anchored Fair Value Cloud (the “tunnel”) This is the heart of the indicator. * **Midline = Anchored VWAP fair value** * Resets by **Day / Week / Month** (you choose). * **Cloud = 3-layer adaptive tunnel** * **Core (blue)** = “fair pricing zone” * **Upper red layers** = increasingly stretched/expensive * **Lower teal layers** = increasingly stretched/cheap **Interpretation (beginner-simple):** * **Inside blue core** → “priced fairly” * **Below the tunnel** → “cheap / discounted” * **Above the tunnel** → “expensive / premium” * **Outer layers** → “extreme stretch” zones (higher snap-back risk) ### 2) Regime label (context filter) Apexflow labels the market environment as: * **TRENDING** * **CHOP/RANGE** * **VOLATILE** * **BREAKOUT** This prevents “using the right tool in the wrong market.” Example: mean reversion works better in chop; trend continuation works better in trend/breakout regimes. ### 3) Readiness Score (0–100) This is the **strength of confluence** between the engines. * Low score = mixed signals / noise * High score = alignment / higher-quality conditions ### 4) BUY / SELL signals (non-spam) Signals trigger only when: * **Readiness crosses above your threshold** (first bar only) * **Regime filter agrees** * **Structure agrees** (reclaim midline / lose midline OR location within the tunnel) * **Cooldown** prevents rapid repeats --- # What’s behind it (advanced, but readable) Apexflow PRO uses four engines: ## A) Anchored Fair Value Engine (core) A true anchored VWAP-style accumulator: * Aggregates **price × volume** and **volume** * Resets on your chosen anchor period * Produces a stable “fair value spine” ### Stable Mode (important) When **Stable Mode = ON**, Apexflow **does not drift intrabar** on live candles. The anchored midline and tunnel update on confirmed bar closes to avoid the classic “wiggling anchor” problem. ## B) Regime Engine (Trend/Chop/Breakout/Volatile) Uses multiple independent measures (not just one): * **ADX** = trend strength * **Efficiency Ratio (ER)** = trend efficiency vs chop * **BB Width %Rank** = compression / squeeze context * **ATR %Rank** = volatility regime context This produces both a **regime label** and a **regime confidence score** used in the composite. ## C) Flow Engine (participation + intent proxy) A blended participation model: * **Signed candle pressure** (body vs range scaled by volume) * **Wick rejection bias** (rejection strength) * **RVOL** (relative volume lift) This helps distinguish “real moves” from low-quality drifts. ## D) Cross-Market Confirmation (optional) A light macro filter to reduce false positives: * **Equities:** VIX (inverse risk) * **Forex:** DXY (inverse USD pressure) * **Crypto:** BTC.D (risk tone proxy) If the cross-market symbol is unavailable, the script **falls back gracefully** and automatically reduces its weight. --- # How to use (simple rules) ## Trend Following mode (default) Best when you want to ride directional moves. **BUY idea:** * Readiness crosses above threshold * Regime is **TRENDING** or **BREAKOUT** * Price is reclaiming the midline OR is occurring from the lower half of tunnel **SELL idea:** * Same logic in reverse (lose midline / upper half) **Practical beginner rule:** > In Trend mode, treat the midline like “bias.” > If price is above the midline and score is strong → favor longs. > If below and score is strong → favor shorts. ## Reversion mode Best in chop/range markets. * Signals are biased toward **mean reversion** * Use tunnel extremes as “stretch zones” * Targets often gravitate back toward the **midline / inner bands** --- # Best settings & timeframes (starting points) These are practical defaults (not magic): ### Crypto * 15m / 1H / 4H * Anchor Reset: **Week** * Threshold: **60–70** ### Equities / Indices * 5m / 15m / 1H * Anchor Reset: **Day or Week** * Threshold: **60–75** ### Forex * 15m / 1H * Anchor Reset: **Day** * Threshold: **60–75** If signals feel too frequent: raise **Threshold** or increase **Cooldown**. If signals feel too rare: lower **Threshold** slightly or reduce **Cooldown**. --- # Alerts Included: * **Apexflow PRO Long** * **Apexflow PRO Short** These fire only when the indicator triggers a confirmed, threshold-cross event (designed for clean alerting). --- # Notes & limitations (honest) * This is not a “predict the future” tool — it’s a **context + fair value + confluence** system. * Cross-market filters are helpful, but not universal. If you trade niche assets, consider turning cross-market OFF or customizing the reference symbol. * Always use risk management. A strong score is not a guarantee.
Indicador Pine Script®
por Finntech1
Oscillator [Scalping-Algo]█ POSTING OSCILLATOR A squeeze momentum indicator that detects volatility compression and shows momentum direction. █ HOW IT WORKS This indicator combines Bollinger Bands and Keltner Channels to identify "squeeze" conditions — periods of low volatility that often precede explosive moves. When Bollinger Bands contract inside Keltner Channels, volatility is compressing. When they expand back out, the squeeze "fires" and price typically makes a strong directional move. █ HISTOGRAM COLORS 🟦 Bright Cyan — Positive momentum, increasing 🟦 Dark Cyan — Positive momentum, decreasing 🟪 Dark Purple — Negative momentum, increasing 🟪 Bright Magenta — Negative momentum, decreasing █ SQUEEZE DOTS (ZERO LINE) 🟢 Teal — No squeeze (normal volatility) ⚫ Gray — Low squeeze 🔴 Red — Medium squeeze 🟠 Orange — High squeeze (breakout imminent) █ HOW TO USE 1. Wait for squeeze dots (gray/red/orange) to appear 2. Watch which direction momentum is building 3. Enter when dots turn teal (squeeze fired) 4. Go long if histogram is cyan, short if magenta 5. Consider exit when colors fade (bright → dark) █ BEST PRACTICES • Works best on higher timeframes (1H, 4H, Daily) • Combine with trend analysis and support/resistance • Most reliable in trending markets • Avoid trading against major levels █ SETTINGS Length: 20 (default) — Period for all calculations Adjust based on your timeframe and trading style. █ ALERTS Set alerts for: • Histogram crossing zero • Squeeze firing (dot color change to teal) • High squeeze detection (orange dots)
Indicador Pine Script®
por A1TradingHub
US Stock Market Performance by Sector[Dots3Red]This indicator displays the annual performance of the U.S. stock market by sector. Selected major sectors IND – Industrials TECH – Technology HTH – Healthcare FIN – Financials COMM – Communication Services CONSCYC – Consumer Cyclical CONSSTAP – Consumer Staples ENERGY – Energy REAL ESTATE – Real Estate BASMAT – Basic Materials The data is presented in a table below the main chart. Green cell — the sector was bullish during that year Red cell — the sector was bearish during that year The table automatically sorts sectors by performance, placing the best-performing sector at the top for each year. NOTE: Annual performance is calculated starting from 2020 by default (arbitrarily chosen) and can be adjusted by the user.
Indicador Pine Script®
por Dots3Red
Sharpe Ratio [Alpha Extract]A sophisticated risk-adjusted return measurement system that calculates annualized Sharpe Ratio with dynamic color-coded visualization distinguishing return quality across positive and negative performance regimes. Utilizing rolling period calculations with smoothed moving average comparison, this indicator delivers institutional-grade performance assessment with overbought/oversold threshold detection for extreme risk-adjusted return conditions. The system's four-tier color classification combined with histogram fills and background highlighting provides comprehensive visual feedback on whether current returns justify their volatility risk across varying market cycles. 🔶 Advanced Sharpe Ratio Calculation Engine Implements classic Sharpe Ratio methodology measuring mean daily return divided by return standard deviation with annualization factor for consistent interpretation. The system calculates daily percentage returns, computes rolling mean and standard deviation over configurable periods, applies square root of 365 scaling for annualized comparison, and generates unbounded ratio values where higher positive readings indicate superior risk-adjusted performance. // Core Sharpe Ratio Framework Daily_Return = close / close - 1 Mean_Return = ta.sma(Daily_Return, Period) StdDev_Return = ta.stdev(Daily_Return, Period) Sharpe_Ratio = (Mean_Return / StdDev_Return) * sqrt(365) 🔶 Dynamic Four-Tier Color Classification Features sophisticated color logic distinguishing between strong positive returns (green), weakening positive returns (yellow), weakening negative returns (orange), and strong negative returns (red) based on relationship to smoothed average. The system compares current Sharpe against SMA-smoothed baseline, applying green when positive and accelerating, yellow when positive but decelerating, orange when negative but improving, and red when negative and deteriorating for nuanced regime assessment. 🔶 Smoothed Baseline Comparison Framework Implements SMA smoothing of Sharpe Ratio with configurable period to establish momentum reference line for trend determination within risk-adjusted returns. The system calculates simple moving average of raw Sharpe values, uses this smoothed line as directional benchmark, and determines whether current risk-adjusted performance is strengthening or weakening relative to recent average for color classification logic. 🔶 Extreme Threshold Detection System Provides overbought and oversold level identification with configurable upper and lower bounds marking exceptional risk-adjusted return extremes. The system defaults to +4.3 for overbought threshold (extremely favorable risk-return profile) and -2.3 for oversold threshold (severely unfavorable risk-return profile), applying dashed horizontal reference lines and background highlighting when Sharpe breaches these statistical extremes requiring attention. 🔶 Histogram Fill Visualization Architecture Creates gradient-filled histogram between Sharpe Ratio line and zero baseline using dynamic color matching with 30% transparency for intuitive positive/negative return distinction. The system fills area above zero with bullish colors (green/yellow) and below zero with bearish colors (orange/red), providing immediate visual confirmation of whether returns are compensating for volatility risk or destroying risk-adjusted value. 🔶 Background Zone Highlighting Framework Implements subtle background coloring when Sharpe enters extreme overbought or oversold zones, alerting traders to statistically significant risk-adjusted return conditions. The system applies semi-transparent red background when ratio exceeds +4.3 (exceptionally strong risk-adjusted returns potentially unsustainable) and green background when below -2.3 (severely poor risk-adjusted returns potentially reversionary), creating visual alerts without obscuring price action. 🔶 Annualization Methodology Integration Utilizes standard square root of time scaling (sqrt(365)) to convert rolling period Sharpe calculations into annualized format for cross-temporal comparison. The system applies this mathematical transformation ensuring Sharpe values represent expected annual risk-adjusted returns regardless of calculation period length, enabling consistent interpretation whether using 100-day or 200-day rolling windows. 🔶 Zero-Line Reference System Provides critical zero-line plot serving as boundary between positive risk-adjusted returns (capital allocation justified by return/risk profile) and negative risk-adjusted returns (strategy destroying value on risk-adjusted basis). The system emphasizes this threshold as decision point where values above zero suggest continuation while values below zero indicate reconsideration of exposure. 🔶 Momentum-Based Color Transitions Implements intelligent color switching logic that considers both absolute Sharpe value and its momentum relative to smoothed average, creating four distinct regimes for granular performance assessment. The system enables identification of bullish acceleration (green), bullish deceleration (yellow), bearish improvement (orange), and bearish acceleration (red) for nuanced position management beyond simple positive/negative classification. 🔶 Configurable Period Optimization Features adjustable calculation period and smoothing length enabling optimization across different trading timeframes and volatility regimes. The system defaults to 150-period calculation (approximately 6-7 months of daily data) with 30-period smoothing, but allows customization from short-term tactical assessment to long-term strategic evaluation based on investment horizon and strategy requirements. 🔶 Performance Optimization Framework Employs efficient rolling calculations with streamlined daily return processing and optimized standard deviation computation for smooth real-time updates. The system includes minimal computational overhead through single-pass mean and variance calculations, enabling consistent performance across extended historical periods while maintaining accuracy of risk-adjusted return measurements. This indicator delivers sophisticated risk-adjusted return analysis through classic Sharpe Ratio methodology with enhanced visual classification distinguishing return quality and momentum. Unlike simple return-focused indicators, Sharpe Ratio penalizes volatility ensuring traders evaluate whether returns justify the risk undertaken. The system's four-tier color coding, smoothed baseline comparison, and extreme threshold detection make it essential for portfolio managers and systematic traders seeking objective performance assessment beyond raw price gains. High positive Sharpe values indicate efficient return generation relative to volatility risk, while negative values signal value destruction on risk-adjusted basis requiring strategy reassessment. The indicator excels at identifying periods when risk-taking is rewarded (green zones) versus periods when volatility exceeds returns (red zones) across cryptocurrency, forex, and equity markets for optimal capital allocation decisions.
Indicador Pine Script®
por AlphaExtract
PEGY RatioThe basic metrics that all indicators descend from are for each bar the Open, High, Low, Close and Volume where the Close is often noted as Price. Then the Price/Earnings ratio entered trading. Price/Earnings is often noted as P/E ratio or PE. The first major formalisation and widespread use of the P/E ratio came in 1934, when Benjamin Graham and David Dodd introduced it in their landmark book "Security Analysis". Their work established the P/E ratio as a core tool in fundamental analysis and value investing. Graham’s influence was profound: he used the P/E ratio to help investors judge whether a stock was overpriced or underpriced, and his teachings shaped generations of value investors, including Warren Buffett. The P/E ratio evolved into modern variants like forward P/E and Shiller CAPE. There’s no single P/E cutoff that definitively marks a “growth” or “income” stock, but investors commonly treat P/E below about 10–15 as value/income oriented and P/E above about 20–25 as growth oriented. It is important to watch the P/E trend. If the P/E is a low value and reducing in value, then the company may be failing, and it is not good to invest in. P/E is a relative signal, not an absolute rule. A high P/E usually means the market expects above average future earnings growth; a low P/E often signals lower growth expectations, higher current yield, or elevated risk. Benchmarks vary by sector and cycle: what’s “high” for utilities is low for software. Historical market averages (e.g., S&P 500) help frame whether a multiple is elevated or depressed. The next step was the PEG ratio which was first introduced in 1969 by Mario Farina, who described it in his book "A Beginner’s Guide to Successful Investing in the Stock Market". The concept later gained widespread popularity thanks to Peter Lynch, who championed it in his 1989 bestseller "One Up on Wall Street", arguing that a “fairly priced” company tends to have a PEG of about 1. Over 1 is overpriced and below is a bargain. Later the PEGY ratio, a variation of the PEG ratio that added dividend yield into the valuation came into prominence so that mature, dividend paying companies are treated “fairly” . The PEGY ratio emerged in the 1990s as analysts and portfolio managers began adapting the PEG ratio for dividend paying companies. The concept is a natural extension of Peter Lynch’s PEG logic: If growth matters, and dividends matter, combine them into one valuation metric. PEGY (Price/Earnings Growth% and Dividend Yield) is a straightforward modification of the PEG ratio that adds dividend yield to the growth term so that mature, dividend paying companies aren’t penalized by low growth rates alone. The formula is typically written as: PEGY=(Price/Earnings)/(Earnings growth %+Dividend yield%) Peter Lynch (One Up on Wall Street, 1989) is the most cited printed source that describes a dividend adjusted PEG concept and applies it as a practical screening rule for investors. PEGY is in Chapter “Some Fabulous Numbers”. If earnings are negative, then the PEGY ratio will be negative, and it is best to invest in companies that make money. That is, positive PEGY ratio. The PEGY ratio can have different ratios depending upon whether historical data is used (Mario Farina preference) or whether forward looking earnings (Peter Lynch preference) is used in the calculations. Enough for the history lesson. You can quickly go through your watchlist and determine which stocks have a PEGY Ratio from 0 to 1 and eliminate the others. Then whittle down that list to find stocks travelling from bottom left to upper right on the page. Use any other indicators on that reduced list that your tradng plan uses and there you have your list of stocks in which to invest.
Indicador Pine Script®
por Katandra
SMC Liquidity Engine Pro SMC Liquidity Engine Pro - Complete Trading Guide & Documentation 📊 Introduction: Understanding Smart Money Concepts The SMC Liquidity Engine Pro is a comprehensive, institutional-grade trading indicator that brings professional Smart Money Concepts (SMC) methodology directly to your TradingView charts. This isn't just another technical indicator—it's a complete framework for understanding how institutional traders, market makers, banks, and hedge funds manipulate and move the markets. What Makes This Different? While most retail traders rely on lagging indicators like moving averages or RSI, this indicator reveals the real-time footprints of institutional activity. It shows you: Where large players are accumulating or distributing positions How they engineer liquidity to trigger retail stop losses When they're shifting from one directional bias to another Where price inefficiencies exist that institutions will likely revisit The markets don't move randomly—they move based on liquidity. Understanding this fundamental truth is what separates consistently profitable traders from those who struggle. This indicator decodes that liquidity-driven behavior and presents it in clear, actionable visual signals. The Philosophy Behind Smart Money Concepts Smart Money Concepts is built on several core principles: 1. Liquidity is King: Price doesn't move because of patterns or indicators—it moves to collect liquidity (stop losses and pending orders). Institutions need massive liquidity to fill their large positions, so they engineer price movements to create that liquidity before making their real directional move. 2. Market Structure Reveals Intent: The way price forms highs and lows tells a story about who's in control. When structure breaks, it signals a shift in institutional positioning. 3. Inefficiencies Get Filled: When price moves too quickly in one direction, it leaves behind "fair value gaps"—areas of imbalance. Institutions frequently return to these areas to fill orders and restore balance. 4. Manipulation Precedes True Moves: The most explosive directional moves are often preceded by liquidity sweeps in the opposite direction—trapping retail traders before the real move begins. This indicator automates the identification of all these concepts, allowing you to trade alongside the smart money rather than being their exit liquidity. 🎯 Core Features - Deep Dive 1. Market Structure Detection & Visualization What It Is: Market structure forms the foundation of all Smart Money analysis. This indicator automatically identifies and tracks swing highs and swing lows using a sophisticated pivot detection algorithm. These aren't just any price points—they represent areas where the market showed a significant shift in supply and demand dynamics. How It Works: The indicator uses a customizable lookback period to identify valid swing points. A swing high must have lower highs on both sides within the lookback period, and a swing low must have higher lows on both sides. This ensures that only significant structural points are marked, filtering out minor noise and consolidation. Visual Presentation: Bullish Structure (Cyan Lines): Horizontal lines extending from each identified swing high, showing resistance levels that price previously respected Bearish Structure (Red Lines): Horizontal lines extending from each identified swing low, showing support levels where buying pressure emerged Trading Application: These structure levels serve multiple purposes: Target Zones: Previous highs become targets in uptrends; previous lows become targets in downtrends Invalidation Levels: If expecting a bullish move, breaking below the last swing low invalidates the setup Context for Other Signals: All BOS, CHOCH, and liquidity sweep signals gain meaning from their relationship to structure Multi-Timeframe Anchors: Higher timeframe structure provides context for lower timeframe entries Advanced Tip: When multiple timeframe structures align (e.g., a daily swing low coincides with a 4-hour swing low), these levels carry significantly more weight and are more likely to be defended or, when broken, lead to explosive moves. 2. Break of Structure (BOS) - Trend Confirmation What It Is: A Break of Structure occurs when price definitively closes beyond a previous swing high (bullish BOS) or swing low (bearish BOS). This signals that the current trend maintains its momentum and is likely to continue in the same direction. The Institutional Perspective: When institutions want to continue pushing price in a direction, they need to break through previous resistance or support. A clean BOS indicates that: There's sufficient institutional buying/selling to overcome the supply/demand at previous structure The trend has enough momentum to attract more participants Stop losses above/below structure have been triggered, providing liquidity for continuation Signal Characteristics: Bullish BOS Label: Appears below the bar that closes above the previous swing high Bearish BOS Label: Appears above the bar that closes below the previous swing low Confirmation: Requires a full candle close, preventing false signals from wicks Trading Strategies: Trend Continuation Entries: After a BOS, wait for a pullback to a Fair Value Gap or minor structure, then enter in the direction of the break Breakout Trading: Enter immediately on BOS confirmation with a stop below the broken structure Momentum Confirmation: Use BOS to confirm that your existing position is aligned with institutional flow Scaling Strategy: Add to positions on each successive BOS in trending markets What to Watch For: Volume: Strong BOS movements should be accompanied by above-average volume Speed: Rapid price movement through structure suggests institutional urgency Follow-Through: The best BOS signals see price continue strongly without immediately reversing Higher Timeframe Alignment: BOS on higher timeframes (4H, Daily) carry more weight than lower timeframe breaks Common Pitfalls: Not all structure breaks are equal—BOS during ranging markets are less reliable A BOS immediately followed by a reversal back into the range may indicate a failed breakout During major news events, structure can be broken temporarily without institutional intent 3. Liquidity Sweep Detection - Spotting Manipulation What It Is: Liquidity sweeps (also called "stop hunts" or "liquidity grabs") occur when price temporarily breaks beyond a key level to trigger stop losses and pending orders, then immediately reverses back. This is one of the most important concepts in SMC trading because it reveals intentional manipulation. Why Institutions Do This: Large institutional orders can't be filled at a single price point—they need massive liquidity. The biggest pools of liquidity sit just beyond obvious highs and lows where retail traders place their stops. By briefly pushing price into these zones, institutions: Trigger retail stop losses (creating market orders) Activate pending buy/sell orders Fill their large positions at favorable prices Trap late breakout traders before reversing Detection Methodology: The indicator identifies sweeps using multiple criteria: Price must penetrate beyond the structural high/low (creating the sweep) The candle must close back on the opposite side of the structure (confirming rejection) The sweep distance is measured against ATR to distinguish manipulation from normal volatility The sweep multiplier setting allows you to adjust sensitivity based on market conditions Visual Indicators: Orange Down Arrows: Mark liquidity sweeps above structural highs Lime Up Arrows: Mark liquidity sweeps below structural lows Liquidity Zone Boxes: Semi-transparent colored boxes highlight the exact range of the swept area Persistent Display: Zones remain visible for several bars to maintain context Trading Applications: Reversal Trading: Liquidity sweeps often mark excellent reversal points. After a sweep: Wait for the sweep to complete (candle closes back inside structure) Look for a Change of Character signal for confirmation Enter in the direction opposite to the sweep Place stops beyond the sweep high/low Target the opposite side of the range or next structural level Continuation Filtering: Not all sweeps lead to reversals. During strong trends: Sweeps of minor structure in a trending market often precede continuation Use higher timeframe structure to determine if a sweep is counter-trend (likely reversal) or with-trend (likely continuation) Entry Refinement: In ranging markets, trade from swept lows to highs and vice versa, as institutions accumulate at the extremes. Advanced Sweep Analysis: Double Sweeps: When both sides of a range are swept, expect a strong breakout Sweep Rejection Quality: Fast, strong rejections of sweeps are more reliable than slow grinding returns Timeframe Consideration: Daily timeframe sweeps are significantly more important than 15-minute sweeps Volume Profile: Sweeps with low volume followed by high volume reversals confirm manipulation What Makes a High-Quality Sweep Signal: ✅ Penetrates structure by at least 0.5-1x ATR ✅ Strong rejection candle (long wick, decisive close) ✅ Occurs at a higher timeframe structural level ✅ Creates a Change of Character on the following move ✅ Sweeps an obvious level where retail stops cluster 4. Change of Character (CHOCH) - Major Reversal Signals What It Is: A Change of Character represents the most significant shift in market dynamics—when the entire structural bias of the market flips from bullish to bearish or bearish to bullish. CHOCH signals are the crown jewel of SMC trading because they identify the exact moment when institutional positioning fundamentally changes. The Anatomy of a CHOCH: A valid CHOCH requires a specific sequence: Established Trend: A clear directional bias with multiple BOS in one direction Liquidity Engineering: A sweep of structure in the current trend direction (the manipulation phase) Structural Break: Price then breaks structure in the OPPOSITE direction (the revelation phase) This combination shows that institutions have: Completed their accumulation/distribution at favorable prices (via the sweep) Shifted their positioning from bullish to bearish (or vice versa) Begun a new directional campaign Visual Presentation: Bullish CHOCH (Cyan Triangle Up): Appears when bearish structure is broken after a low sweep, signaling the shift to bullish control Bearish CHOCH (Red Triangle Down): Appears when bullish structure is broken after a high sweep, signaling the shift to bearish control Prominent Markers: Larger and more visually distinct than BOS signals, reflecting their importance Why CHOCH Signals Are So Powerful: Trend Reversal Identification: They mark the earliest possible confirmation of a trend change High Win Rate: When combined with proper risk management, CHOCH signals have among the highest success rates in SMC trading Risk-Reward Ratio: Entering at CHOCH gives you the best possible risk-reward since you're entering at the beginning of a new trend Institutional Confirmation: The sequence of sweep + structure break proves institutional repositioning, not just retail sentiment Trading CHOCH Signals: The Perfect CHOCH Setup: Identify the Sweep: Watch for a liquidity sweep of structural lows (for bullish) or highs (for bearish) Wait for the Break: Don't enter on the sweep—wait for structure to break in the opposite direction CHOCH Confirmation: The indicator fires the CHOCH signal—this is your entry trigger Entry Execution: Aggressive: Enter immediately on CHOCH confirmation Conservative: Wait for a pullback to the first Fair Value Gap or broken structure (now turned support/resistance) Stop Placement: Beyond the swept liquidity point Target Selection: Previous swing in the opposite direction, or let it run to the next CHOCH Multiple Timeframe CHOCH Strategy: The most powerful setups occur when CHOCHs align across timeframes: Daily CHOCH: Signals major institutional trend change, target 500+ pips (Forex) or significant point moves 4H CHOCH: Confirms daily direction, provides swing trade opportunities 1H CHOCH: Offers precise entry timing within the higher timeframe trend 15M CHOCH: Used for position scaling and intraday management Example Trade Flow: Daily Chart: Bullish CHOCH appears after weeks of downtrend ↓ 4H Chart: Wait for pullback after the daily CHOCH, then catch the 4H bullish CHOCH ↓ 1H Chart: Enter on the 1H bullish CHOCH that aligns with both higher timeframes ↓ Result: You've entered at the beginning of a major trend with multiple confirmations CHOCH Quality Grading: A-Grade CHOCH (Highest Probability): Occurs at major higher timeframe structure Following a clear liquidity sweep Volume spike on the structural break Multiple timeframe alignment Creates a large Fair Value Gap on the break B-Grade CHOCH (Good Probability): Valid sweep and structure break Single timeframe signal Moderate volume Occurs at minor structure C-Grade CHOCH (Lower Probability): Choppy, ranging market context Weak sweep or unclear structure Counter to higher timeframe trend Low volume confirmation Common Mistakes with CHOCH Trading: ❌ Entering on the sweep instead of waiting for the structure break ❌ Ignoring higher timeframe context ❌ Taking every CHOCH regardless of quality ❌ Not waiting for pullbacks on aggressive trends ❌ Placing stops too tight, getting caught in volatility Advanced CHOCH Concepts: Failed CHOCH: Occasionally, what appears to be a CHOCH will fail (price reverses back into the previous trend). This often indicates: Insufficient institutional conviction for the reversal Fake-out to grab liquidity in the opposite direction Need to wait for a higher timeframe CHOCH for confirmation When a CHOCH fails, it often sets up an even stronger continuation of the original trend. CHOCH vs BOS Decision Matrix: If in doubt about trend direction → wait for CHOCH If confident in trend → trade BOS continuations After a CHOCH → next signals in the new direction are BOS 5. Fair Value Gaps (FVG) - Institutional Retracement Zones What It Is: Fair Value Gaps represent price imbalances where the market moved so quickly that it left behind inefficient pricing. These gaps form when there's no overlap between the current candle's wick and the candle from two bars ago—a void in the price action that creates a "gap" in the order flow. The Institutional Logic: When institutions execute large market orders, they can push price rapidly through levels without allowing normal two-way trading. This creates unfilled orders and imbalanced order books. Institutions often return to these gaps to: Fill additional orders at more favorable prices Allow the market to "breathe" before the next push Create support/resistance at the gap for the next move Restore balance to the order book FVG Formation Criteria: This indicator uses enhanced FVG detection logic: Bullish FVG (Upward Gap): Current candle's low is above the high from 2 candles ago Creates a visible gap where no trading occurred Gap size must exceed 30% of ATR (filtering minor gaps) Typically forms on strong bullish momentum candles Market moved up so fast it left unfilled sell orders Bearish FVG (Downward Gap): Current candle's high is below the low from 2 candles ago Creates a visible gap where no trading occurred Gap size must exceed 30% of ATR Typically forms on strong bearish momentum candles Market moved down so fast it left unfilled buy orders Visual Presentation: Bullish FVG Zones: Semi-transparent cyan boxes extending from gap bottom to top Bearish FVG Zones: Semi-transparent red boxes extending from gap top to bottom Dynamic Management: Gaps automatically removed when filled or expired Clean Display: Only active, unfilled gaps shown to prevent chart clutter FVG Trading Strategies: Strategy 1: FVG Retracement Entries After a CHOCH or strong BOS, wait for price to retrace into the FVG for entry: Identify trend direction via CHOCH or BOS Locate the nearest FVG in the direction of the trend Set limit orders within the FVG zone Stop loss beyond the FVG Target the next structural level or previous swing Strategy 2: FVG Breakout Confirmation When price breaks through an FVG without filling it: Signals extreme institutional urgency Indicates the move is likely to continue strongly The unfilled gap becomes a "no-go zone" for counter-trend entries Strategy 3: Multiple FVG Management When multiple FVGs form in sequence: The first FVG is most likely to be filled If price skips the first FVG, it signals exceptional strength Sequential gaps create a "gap ladder" for scaling into positions FVG Quality Assessment: High-Quality FVGs (Best Trading Zones): Large gap size (1.5x+ ATR) Formed on high volume impulse moves Aligned with higher timeframe structure Created during CHOCH or strong BOS Positioned between current price and key structure Low-Quality FVGs (Use Caution): Small gaps (< 0.5 ATR) Formed during choppy, ranging conditions Multiple overlapping gaps in the same area Counter to higher timeframe trend Very old gaps (50+ bars ago) FVG Lifecycle Management: The indicator intelligently manages FVG zones: Gap Filling: Bullish FVG is "filled" when price touches the bottom of the gap Bearish FVG is "filled" when price touches the top of the gap Filled gaps are automatically removed from the chart Partial fills count as complete fills (institutions got their orders) Gap Expiration: Gaps older than the extension period (default 10 bars) are removed This keeps the chart clean and focuses on relevant levels Adjustable from 5-50 bars based on timeframe and trading style Gap Priority: When multiple gaps exist, closest gap to current price is most relevant Advanced FVG Concepts: Nested FVGs: Sometimes FVGs form within larger FVGs. The smaller, more recent gap typically gets filled first, providing a secondary entry within the larger gap. FVG Clusters: When 3+ FVGs stack in the same zone, this area becomes a major institutional reaccumulation zone—excellent for swing entries. Inverted FVGs: Bullish FVGs in downtrends or bearish FVGs in uptrends can act as resistance/support where rallies/dips fail. FVG + Liquidity Sweep Combination: The ultimate entry setup: Liquidity sweep occurs CHOCH confirms reversal Price retraces into FVG created during the CHOCH move Enter with exceptional risk-reward ratio FVG Statistics & Probabilities: Research on FVG behavior shows: Approximately 70% of FVGs get filled within 20 bars FVGs formed during CHOCH have 80%+ fill rate Larger gaps (2x+ ATR) have lower but higher-quality fill rates Higher timeframe FVGs are more magnetic than lower timeframe Timeframe Considerations: Daily FVGs: Can remain unfilled for weeks Major institutional zones Often mark the absolute best entry prices for swing trades When filled, usually result in strong reactions 4H FVGs: Typically fill within 3-7 days Excellent for swing trading Balance between frequency and reliability 1H FVGs: Usually fill within 1-3 days Good for short-term position trading More frequent signals 15M FVGs: Often fill same day Best used for intraday refinement Should align with higher timeframe gaps 🔧 Customization & Settings Guide Structure Detection Settings Swing Lookback Period (3-50 bars): This is arguably the most important setting as it determines what the indicator considers "structure." Low Values (3-7): Identifies minor swings and frequent structure points More BOS and CHOCH signals Better for scalping and day trading Risk: More false signals in choppy markets Best for: 15M-1H charts, active traders Medium Values (8-15): Balanced approach capturing meaningful swings Default setting works well for most traders Good signal-to-noise ratio Best for: 1H-4H charts, swing traders High Values (16-50): Only major structural points identified Fewer but higher-quality signals Cleaner charts with less noise Better for trending markets Best for: 4H-Daily charts, position traders ATR Period (1-50): Controls how volatility is measured for liquidity sweep detection. Shorter Periods (7-14): More responsive to recent volatility changes Better during high volatility events May overreact to short-term spikes Longer Periods (15-30): Smoother, more stable volatility measurement Better for swing trading Reduces sensitivity to short-term noise Liquidity Sweep Multiplier (0.5-3.0): Determines how far beyond structure price must move to qualify as a sweep. Low Multiplier (0.5-0.9): Catches smaller, more frequent sweeps More signals but lower reliability Good for scalping or high-frequency trading Use in ranging markets Medium Multiplier (1.0-1.5): Balanced sensitivity Default 1.2 works for most situations Good signal quality High Multiplier (1.6-3.0): Only major, obvious sweeps detected Fewer but very high-quality signals Best for trending markets Use when you want only the clearest setups Display Options Toggle Controls: Each component can be individually enabled/disabled: Show Market Structure: Turn off when chart becomes too cluttered Essential for understanding context, generally keep ON Disable only when you know structure from higher timeframe Show Liquidity Zones: Highlights swept areas with boxes Can be disabled if you prefer cleaner charts Keep ON when learning to spot manipulation Show Break of Structure: BOS labels can be disabled if trading only reversals Keep ON for trend following strategies Show Change of Character: Core SMC signal, usually keep ON Only disable if focusing purely on continuation trading Show Fair Value Gaps: OFF by default to prevent overwhelming new users Turn ON once comfortable with basic structure Can generate many zones on lower timeframes FVG Extension Period (5-50 bars): Determines how long unfilled gaps remain displayed. Short Extension (5-10): Keeps charts very clean Only shows very recent gaps Good for day trading May remove gaps before they fill Medium Extension (11-25): Balanced approach Captures most gap fills Good for swing trading Long Extension (26-50): Shows historical gap context Better for position trading Higher timeframe analysis Can make charts busy on lower timeframes Color Scheme Customization Why Colors Matter: Visual clarity is crucial for quick decision-making. The color scheme should: Clearly distinguish bullish vs bearish elements Work well with your chart background (dark/light mode) Be visible but not distracting Match your personal preference for aesthetics Default Colors: Bullish: Cyan ( #00ffff) - visibility and association with "cool" buying Bearish: Red ( #ff0051) - visibility and universal danger/selling association FVG Bullish: 85% transparent cyan - visible but not overpowering FVG Bearish: 85% transparent red - visible but not overpowering Customization Tips: Increase transparency if zones overwhelm price action Use higher contrast colors on light backgrounds Keep bullish/bearish colors visually distinct Test colors across different market conditions Optimization by Market Type Forex (24-hour markets): Structure Lookback: 10-15 ATR Period: 14-21 Sweep Multiplier: 1.0-1.5 Best Timeframes: 15M, 1H, 4H Stocks (Session-based): Structure Lookback: 8-12 ATR Period: 14 Sweep Multiplier: 1.2-1.8 Best Timeframes: 5M, 15M, 1H, Daily Note: Gaps at market open/close aren't FVGs Cryptocurrency (High volatility): Structure Lookback: 12-20 (filter noise) ATR Period: 10-14 (responsive to volatility) Sweep Multiplier: 1.5-2.5 (larger sweeps) Best Timeframes: 15M, 1H, 4H Indices (Moderate volatility): Structure Lookback: 10-15 ATR Period: 14-20 Sweep Multiplier: 1.0-1.5 Best Timeframes: 1H, 4H, Daily 📈 Complete Trading System & Strategies The Complete SMC Trading Process Step 1: Higher Timeframe Analysis (Daily/4H) Begin every trading session by analyzing higher timeframes: Identify the prevailing market structure (bullish or bearish) Mark key swing highs and lows Note any recent CHOCHs that signal trend changes Identify major Fair Value Gaps that could act as targets or entry zones Determine areas of liquidity (obvious highs/lows where stops cluster) Step 2: Trading Timeframe Setup (1H/4H) Move to your primary trading timeframe: Wait for alignment with higher timeframe bias Look for CHOCH signals if expecting reversal Look for BOS signals if expecting continuation Identify liquidity sweeps that create trading opportunities Note nearby FVGs for entry refinement Step 3: Entry Timeframe Execution (15M/1H) Use lower timeframe for precise entry: After higher timeframe signal, wait for lower timeframe confirmation Enter on FVG fills, structure breaks, or CHOCH signals Place stop beyond swept liquidity or broken structure Set targets at next structure level or opposite side of range Step 4: Management Active trade management increases profitability: Move stop to breakeven after price moves 1R (risk unit) Take partial profits at first target (structure level) Let remainder run to major targets Trail stop using FVGs or structure breaks in your direction Exit if a counter-trend CHOCH appears High-Probability Trading Setups Setup 1: The Classic CHOCH Reversal Market Context: Extended trend in one direction Price reaching obvious highs/lows where liquidity pools Setup Requirements: Liquidity sweep of the high/low CHOCH signal fires (Optional) Wait for pullback to FVG Entry: On CHOCH confirmation or FVG fill Stop: Beyond swept liquidity Target: Previous swing in opposite direction Example (Bullish): Market in downtrend for 2 weeks Price sweeps below obvious daily low Bullish CHOCH fires (breaks previous lower high) Enter immediately or wait for pullback to bullish FVG Stop below swept low Target: Previous lower high, then previous high Risk-Reward: Typically 1:3 to 1:5+ Setup 2: BOS Continuation with FVG Entry Market Context: Established trend with recent CHOCH Strong momentum in trend direction Setup Requirements: Recent CHOCH established trend direction BOS signal confirms continuation Wait for pullback into FVG created on the BOS move Entry: Limit order within FVG zone Stop: Beyond FVG (invalid if exceeded) Target: Next structural level Example (Bearish): Bearish CHOCH 2 days ago Price makes BOS breaking new low Large bearish FVG created during the break Price retraces into FVG zone Enter short at FVG fill Stop above FVG Target: Next major low or daily FVG below Risk-Reward: 1:2 to 1:4 Setup 3: Liquidity Sweep Fade Market Context: Ranging market between defined highs/lows Obvious liquidity on both sides of range Setup Requirements: Clear range established (minimum 20-30 bars) Price sweeps one side of range (high or low) Strong rejection back into range Entry: After sweep rejection confirmed Stop: Beyond swept level Target: Opposite side of range Example: Range between 1.0850-1.0920 (EUR/USD) Price sweeps above 1.0920 to 1.0935 Strong bearish rejection candle back below 1.0920 Enter short at 1.0915 Stop at 1.0940 (above sweep high) Target: 1.0850 (range low) Risk-Reward: 1:2.6 Setup 4: Multi-Timeframe CHOCH Alignment Market Context: Major trend change occurring Multiple timeframes showing reversal signals Setup Requirements: Daily timeframe shows CHOCH Wait for 4H CHOCH in same direction Enter on 1H CHOCH that aligns Entry: 1H CHOCH confirmation Stop: Below 4H structure Target: Daily structural level Example (Bullish): Daily bearish trend for months Daily bullish CHOCH appears 4H shows bullish CHOCH next day 1H bullish CHOCH provides entry Enter long on 1H signal Stop: Below 4H swing low Target: Daily previous high Risk-Reward: 1:5 to 1:10+ Position: Larger size due to alignment Setup 5: Failed CHOCH Continuation Market Context: Strong trend temporarily looks like reversing "False" CHOCH creates trap for counter-trend traders Setup Requirements: Apparent CHOCH against main trend Price fails to follow through Original trend resumes with strong BOS Entry: On BOS in original trend direction Stop: Recent swing Target: Extension of original trend Example: Strong daily uptrend Bearish CHOCH appears (potential reversal) Price consolidates but doesn't follow through down Bullish BOS breaks above recent consolidation Enter long on BOS Stop: Below failed CHOCH low Target: New high extension Risk-Reward: 1:3 to 1:6 Note: Failed reversals often lead to explosive continuations Risk Management Framework Position Sizing: Never risk more than 1-2% of account per trade, even on A+ setups. Risk Calculation: Position Size = (Account Size × Risk %) / (Entry - Stop Loss in pips/points) Example: Account: $10,000 Risk: 1% = $100 Entry: 1.0900 Stop: 1.0870 (30 pips) Position Size: $100 / 30 pips = $3.33 per pip Lot Size (Forex): 0.33 lots Stop Loss Placement: For CHOCH Reversals: Place stop 5-10 pips beyond swept liquidity Gives room for volatility while protecting capital If swept liquidity is violated, setup is invalidated For BOS Continuations: Place stop beyond the FVG or structure that provided entry Typically tighter stops (closer to entry) Can trail stop to breakeven quickly For Range Trading: Stop beyond the swept level Generally tight stops work well in ranges Exit quickly if range boundaries break Take Profit Strategy: Scaling Out Method (Recommended): First Target (50% of position): First structural level (1:1 to 1:2) Second Target (30% of position): Major structure (1:3 to 1:5) Trail Stop (20% of position): Let run to full extension Full Exit Method: Hold entire position to predetermined target Requires more discipline Higher reward but also higher risk of giveback Trade Management Rules: Breakeven Rule: Move stop to breakeven after 1R profit Partial Profit Rule: Take partials at structure levels Trailing Rule: Trail stop
Indicador Pine Script®
por xqweasdzxcv
2
FCF Yield - cristianhkrThis indicator is a fundamental valuation tool that calculates Free Cash Flow Yield in real-time. Unlike standard indicators, this script solves the data gap for European companies reporting semi-annually and allows for short-term projections. What is FCF Yield? It is the real "interest rate" a company generates relative to its current market price. Formula: FCF Yield = (Free Cash Flow / Market Cap) * 100 Key Features: Timeframe Flexibility: Switch between TTM (Trailing Twelve Months), FY (Fiscal Year), and FQ (Fiscal Quarter). Smart Fallback System: Essential for European stocks. If you select "Quarter" for a company that only reports semi-annually (like many European ones: Adidas, LVMH, Pluxee), the script automatically detects and uses the Semi-Annual (FH) data instead of showing an error. Projection/Annualization: Option to annualize short-term data (multiplies Quarters x4 or Semi-Annuals x2) to estimate annual yield based on the last report. Intuitive Visualization: Green area for positive cash generation and red for cash burn. Interpretation Guide (Fundamental): 5%: Generally indicates an attractive valuation (the company generates significant cash relative to its price). < 2%: The company might be overvalued or is a high-growth company reinvesting everything. Negative: The company is burning cash (liquidity risk or early expansion phase).
Indicador Pine Script®
por cristianhkr
Asian Liquidity Sweep + NY Reversal [NY Only]Asian Liquidity Sweep + NY Reversal Concept Asia builds a tight range → liquidity pool London / early NY raids that liquidity (stop hunt) New York delivers the real move in the opposite direction Sessions utc+3 Asia range: 04:00 – 10:00 Liquidity sweep: London open → pre-NY (≈10:00–14:00) Execution window: NY Kill Zone 15:00 – 18:00 Step-by-Step Model Define Asia Range Mark: Asia High Asia Low Liquidity Sweep (Stop Hunt) Price must do ONE of the following: Sweep above Asia High → bullish liquidity taken Sweep below Asia Low → bearish liquidity taken NY Reversal Confirmation (Key Part) Wait for NY Kill Zone and look for: Strong rejection candle Displacement / impulsive move back inside range Optional: small internal structure break on lower TF Entry Rules (High Probability) 🔻 If Asia High is swept: Bias: SELL Entry: After NY rejection On pullback to: Discount zone / FVG OR Asia High retest SL: Above sweep high TP: Asia Low (TP1) NY session low / next HTF liquidity (TP2) If Asia Low is swept: Bias: BUY Entry: NY rejection + displacement Pullback to imbalance / Asia Low SL: Below sweep low TP: Asia High Daily high / premium liquidity arrows/labels-will show when to buy or sell signal-once per day Use volume profile (max) for confirmation of entry point Lets win together
Indicador Pine Script®
por harry_adera
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
Indicador Pine Script®
por OmegaTools
Maor Beniash | Pro DashboardMB-PRO | Smart Info & Risk Dashboard Description The MB-PRO indicator is a minimalist dashboard designed to provide traders with rapid situational awareness and critical risk management data, without cluttering the chart. This tool consolidates fundamental and technical data into one organized corner, helping avoid common errors such as entering a trade right before an earnings report or incorrect stop-loss calculations. Key Features: Full Company Name: Displays the complete name of the entity. Market Cap: Shows the current market capitalization. Sector & Industry: Quickly identifies the sector and industry classification. Risk Management (ATR): Displays the Average True Range (14) in both absolute value and percentage (crucial for stop-loss sizing). Earnings Alert: A smart warning mechanism where the text automatically turns orange when the report date is approaching (default: 21 days, adjustable). This helps prevent holding positions during high-risk periods.
Indicador Pine Script®
por maorbeniash
Trade TrackerThis indicator is a lightweight trade P/L monitor that takes a manual entry price, direction (long/short), position size, and a configurable dollar value per point/tick. It computes real-time profit/loss by comparing the current close to the entry price, converting the move into points and then dollars based on your size and tick value. On the last bar, it draws an entry line at the specified price and renders a stacked label at that level showing Buy/Sell, size, dollar P/L (green/red), and the point P/L. It continuously deletes and redraws the line/labels to keep the chart clean, and it also plots the entry price so the value is visible in the data window and price scale.
Indicador Pine Script®
por gggoaaat
P/E Ratio (TTM)This indicator plots the trailing P/E ratio (TTM) using GAAP EPS (TTM) sourced directly from TradingView’s fundamental data. It includes valuation‑zone color coding, yearly labels, and a clean, compressed visual layout suitable for most equities. The goal is to provide a fast, intuitive view of how expensive or cheap a stock is relative to its historical earnings power. Note: The indicator caps P/E values around 120 for visual clarity. Negative P/E ratios are intentionally excluded, since P/E is undefined when EPS is negative. You can adjust the cap or remove it entirely if you prefer a full‑range view. This tool is especially useful for identifying periods when a company is trading at historically elevated or discounted valuation levels.
Indicador Pine Script®
por followmytradingjournal
Time Zones PROGeopbytech – Time Zones PRO (v6) Geopbytech – Time Zones PRO is a professional market session indicator designed for intraday, scalping, and Smart Money Concepts (SMC) traders who want precise market timing and clean chart context. This indicator allows you to visualize up to 5 configurable market sessions in a single script, fully adaptable to any timezone and trading style. 5 independent sessions (ON / OFF per session) Custom session time ranges Editable timezone (IANA format: America/New_York, Europe/London, UTC, etc.) Soft and clean background shading Session start flag (🚩) printed at the exact opening candle Works on Forex, Indices, Gold, and Crypto Built with Pine Script v6 (latest version) Common Use Cases London Session – Early liquidity grabs and manipulation New York Killzone – High-probability SMC entries Asia Range – Range building and target mapping Custom sessions based on your local timezone Easy Configuration All settings are accessible from the indicator panel: Enable or disable each session Edit session names and time ranges Adjust background colors Select your real local timezone Toggle session start flags on or off No need to load multiple indicators — everything is centralized into one professional tool. Indicator Philosophy This indicator does NOT provide buy or sell signals. Its purpose is to provide market context, timing, and structure , helping traders focus only on periods where institutional liquidity is active. Perfectly compatible with: Smart Money Concepts (SMC) Order Blocks Fair Value Gaps (FVG) Market Structure Liquidity Sweeps Author Geopbytech – Juan Delgado Disclaimer This indicator is for educational purposes only. It does not constitute financial advice. Always trade with proper risk management.
Indicador Pine Script®
por Geopbytech
FED Net Liquidity (WALCL - TGA - RRP)a measure of FED net liquidity with color codes. What is FED Net Liquidity? FED Net Liquidity is a proxy for how much usable US-dollar liquidity is actually available to financial markets. It combines three balance-sheet items from the Federal Reserve and the US Treasury into one number: FED Net Liquidity = FED Balance Sheet (WALCL) − Treasury General Account (TGA) − Reverse Repo (RRP) The goal is simple: to estimate how much money is “in play” for risk assets, rather than parked or withdrawn.
Indicador Pine Script®
por vbarink
Indian Equities Theme Tracker [EWT] - Sector Rotation HeatmapIdentify where the "Smart Money" is flowing in the Indian Markets. The Indian Equities Theme Tracker is a powerful visual dashboard designed for NSE traders and investors to monitor sector rotation and relative strength in real-time. By tracking the most liquid Exchange Traded Funds (ETFs), this tool provides a birds-eye view of the Indian economy—from core benchmarks like Nifty 50 and Nifty 500 to high-growth themes like Defence, EV, Tourism, and Energy. In modern markets, capital doesn't move into all stocks at once; it rotates between sectors. This script helps you spot the leaders and laggards across five different timeframes, ensuring you are always positioned in the strongest themes. 🚀 Key Features : 23+ Essential Themes: Tracks Broad Market, Market Caps (Mid/Small), Sectors (IT, Bank, Auto, Metal), and Narratives (Defence, Tourism, EV, Energy). Dynamic Performance Sorting: Automatically reorders the table based on your selected lookback (1 Day, 1 Week, 1 Month, 3 Months, or YTD). Heatmap Logic: Intuitive color coding helps you instantly identify extreme bullishness or bearishness across the board. Liquidity Focused: Uses the most liquid NSE ETFs (BeES and equivalent) to ensure the data is accurate and reflects tradeable prices. Pro UI Design: A clean, professional dashboard that can be positioned anywhere on your chart without cluttering your price action analysis. 📊 Themes Included : Benchmarks: Nifty 500, Nifty 50, Nifty Next 50. Market Caps: Midcap 150, Smallcap 250. Sectors: Private & PSU Banks, IT, Pharma, Healthcare, FMCG, Auto, Metals, Infra, Realty. Thematic/Narratives: Defence, Tourism, Energy, EV & New Age Automotive, Consumption. Safe Havens: Gold & Silver. 🛠️ How to use : Timeframe: Switch to the Daily (D) timeframe for the best results. Settings: Use the inputs to change the table position (Top/Middle/Bottom) and the sorting criteria. Strategy: Look for themes that are consistently at the top of the "1 Month" and "3 Month" lists—these are your structural leaders. Use "1 Day" to spot quick tactical bounces. Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Always perform your own due diligence.
Indicador Pine Script®
por YetAnotherTA
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.
Indicador Pine Script®
por crypticav7776