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Sharpe Ratio Tracker -> PROFABIGHI_CAPITAL🌟 Overview The Sharpe Ratio Tracker → PROFABIGHI_CAPITAL indicator evaluates risk-adjusted performance by computing the Sharpe ratio for up to 33 customizable altcoins over a rolling lookback period, smoothing values for stability and annualizing for comparability. It dynamically renders color-gradient tables showcasing individual Sharpe ratios, median benchmarks, and ranked top performers with emoji indicators, enabling traders to identify assets delivering superior returns per unit of volatility for optimized portfolio selection. ⚙️ General Settings – Sharpe Rolling Period : Adjustable lookback window for return and volatility averaging, where shorter horizons capture recent efficiency while longer spans assess sustained performance stability. – Smoothing Period : EMA length applied to raw ratios to dampen noise, promoting smoother trends for clearer visual and analytical insights. – Number of Altcoins to Display : Scales the primary table's capacity from a focused 5-asset scan for quick reviews to a full 33-symbol matrix for comprehensive risk-adjusted screening. – Number of Top Sharpe Assets : Curates the leaderboard to emphasize leading ratios, tunable from 1 for pinpoint focus to the total count for exhaustive ranking of efficiency standouts. 💎 Asset Selection Settings – Asset 1-17 (Left Group) : Populates the main table's left column with foundational altcoins, supporting customization from blue-chips like ETHUSD to diversified selections such as XRPUSD—each input retrieves daily closes for isolated Sharpe derivation, with tooltips ensuring accurate symbol formatting. – Asset 18-33 (Right Group) : Fills the right column for broader exposure, accommodating additional tokens from LTCUSD to niche assets like MNTUSD—facilitates ergonomic tri-column layout for horizontal scanning across the expanded dataset. – Dynamic Input Rendering : Conditionally activates fields based on total assets, concealing unused slots to eliminate errors and streamline the interface—allows effortless scaling from compact watchlists to exhaustive monitoring without reconfiguration. 🎨 Table Style Settings – Low Sharpe Color : Anchors the gradient's underperformance base (e.g., deep red for negative ratios), visually flagging assets with poor efficiency that may drag portfolio returns. – High Sharpe Color : Establishes the excellence endpoint (e.g., vivid green for positive ratios), spotlighting high-efficiency performers ideal for risk-conscious allocations. – Neutral Sharpe Value : Centers the color pivot at breakeven efficiency (typically 0.0), where ratios shift from subdued to vibrant hues—calibration tilts toward conservative or aggressive interpretations. – Sharpe Color Range : Broadens or narrows the transition zone around neutral, yielding gradual blends for nuanced rankings or sharp delineations for clear high/low separation. – Table Background : Deploys a subtle dark semi-transparent canvas for all views, fostering glare-free readability across themes while delivering a cohesive dashboard appearance. – Table Border : Frames outlines with neutral gray for understated structure, containing content without diverting from the gradient-centric data narrative. 📡 Data Fetching – Asset Data Retrieval : Executes parallel daily close requests for designated symbols, gracefully managing empty inputs by inserting NA placeholders to uphold table cohesion. – Return Series Computation : Derives 1-period percentage changes for each asset, furnishing the discrete inputs for mean and standard deviation estimations. – Invalid Data Mitigation : Substitutes missing values with sentinels (-9999) for rendering as grays, preserving layout amid incomplete datasets. 🧮 Calculations – Daily Return Generation : Applies rate of change over one day to each asset's series, yielding percentage shifts as the core for efficiency metrics. – Mean Return Smoothing : Averages returns over the rolling period via simple moving average, establishing historical performance baselines. – Standard Deviation Volatility : Computes rolling dispersion of returns, quantifying risk as the denominator for ratio normalization. – Raw Sharpe Derivation : Divides mean return by standard deviation, handling zero-volatility cases with zero fallback for stability. – EMA Smoothing Application : Applies exponential moving average to raw ratios, attenuating fluctuations for trend-revealing outputs. – Annualization Scaling : Multiplies smoothed ratios by the square root of 365, converting daily efficiency to yearly comparability. 📋 Table Display – Dynamic Layout Optimization : Constructs columns (up to 9 for tri-set configuration) and rows scaled to asset count plus header, ensuring compact efficiency for 1-33 symbols. – Main Table Framework : Branded header bridges the top row, trailed by asset symbols, rounded ratios (3 decimals), and efficiency emojis in streamlined trios for row-efficient navigation. – Sharpe Color Continuum : Interpolates from low (red) through neutral (midpoint) to high (green), with grays for invalids—facilitates at-a-glance risk-adjusted profiling. – Emoji Efficiency Markers : Renders rocket for above-median ratios (strong performers) and downward arrow for below (weak), injecting rapid visual sentiment. – Median Table Encapsulation : Compact single-column showcase of central ratio with gradient coloring, anchoring relative evaluations as an efficiency fulcrum. – Top Sharpe Table Hierarchy : Descending rank in 3-column array (symbol, value, emoji) with header branding, zeroing in on superior assets for allocation prioritization. – Index-Fueled Ranking : Harnesses array indices for descending extraction, rebuilding sorted arrays while safeguarding originals for precise median derivation. 🔔 Alerts – Dynamic Alert Fabrication : Assembles newline-separated compilations of symbols and rounded ratios on the final bar, purging prefixes for succinct formatting. – Once-Per-Bar Dispatch : Activates alerts at close with the full dataset, accommodating external integrations like notifications or bots. – Output Refinement : Curates parseable content by excluding NAs, concentrating on executable data for seamless workflow embedding. ✅ Key Takeaways – Transforms risk-adjusted efficiency into gradient-scored tables for effortless asset ranking. – Rolling Sharpe with smoothing and annualization delivers comparable, noise-reduced insights. – Extensive symbol flexibility supports tailored crypto portfolios from majors to alts. – Top medians and emojis accelerate outperformance detection with visual punch. – Automated alerts package complete scans, streamlining from analysis to action.
Indicador Pine Script®
por PROFABIGHI_CAPITAL
Beta Tracker -> PROFABIGHI_CAPITAL🌟 Overview The Beta Tracker → PROFABIGHI_CAPITAL indicator quantifies market sensitivity by calculating the beta coefficient for up to 33 customizable altcoins relative to a selected benchmark over a user-defined lookback, revealing how assets amplify or dampen systemic movements. It dynamically renders color-gradient tables with individual betas, median values, and sorted top sensitivities alongside emoji indicators, enabling traders to assess volatility alignment and construct diversified portfolios based on risk exposure profiles. ⚙️ General Settings – Beta Measurement Length : Establishes the historical horizon for return covariance and variance computations, where shorter spans highlight recent sensitivities while longer periods reveal enduring market correlations—essential for tailoring to trading styles like short-term scalping or long-term holding. – Benchmark Symbol : Designates the reference index for beta normalization, such as total market cap to evaluate broad exposure or Bitcoin for coin-specific amplification—forms the foundational volatility baseline for all asset comparisons. – Number of Altcoins to Display : Scales the primary table's capacity from a concise 5-asset focus for quick scans to a robust 33-symbol overview for exhaustive screening, directly influencing data volume and computational efficiency. – Number of Top Beta Assets : Curates the leaderboard to showcase the most sensitive performers, adjustable from 1 for pinpoint focus to the full asset count for comprehensive ranking—streamlines identification of high-volatility opportunities. 💎 Asset Selection Settings – Asset 1-17 (Left Group) : Populates the main table's left column with core altcoins, supporting sequential customization from established leaders like ETHUSD to diversified mid-caps such as XRPUSD—each fetches daily closes for independent beta derivation, with tooltips ensuring proper symbol entry. – Asset 18-33 (Right Group) : Fills the right column for expanded coverage, accommodating additional tokens from LTCUSD to niche selections like MNTUSD—facilitates balanced tri-column layout for ergonomic horizontal scanning across the dataset. – Dynamic Input Adaptation : Conditionally renders inputs based on total assets, suppressing unused fields to prevent errors and streamline the interface—allows seamless scaling from minimal watchlists to full-spectrum monitoring without reconfiguration. 🎨 Table Style Settings – Low Beta Color : Anchors the gradient's defensive endpoint (e.g., muted red for betas below 1.0), visually denoting lower market sensitivity and potential stability in portfolios. – High Beta Color : Defines the aggressive anchor (e.g., vibrant green for betas above 1.0), spotlighting amplified movers ideal for volatility-seeking strategies. – Neutral Beta Value : Centers the color transition at market-equivalent sensitivity (typically 1.0), where betas pivot from subdued to heightened hues—calibration shifts emphasis toward conservative or offensive interpretations. – Beta Color Range : Expands or contracts the spectrum bandwidth around neutral, fostering gradual blends for nuanced rankings or abrupt shifts for clear high/low demarcation. – Table Background : Applies a subtle dark semi-transparent canvas across all views, promoting eye comfort on varied themes while unifying the professional dashboard aesthetic. – Table Border : Outlines frames with neutral gray for subtle definition, framing content without distracting from the gradient-driven data insights. 📡 Data Fetching – Benchmark Data Retrieval : Utilizes security requests for daily closing prices from the designated symbol, compiling a consistent series for variance and covariance baselines. – Asset Data Retrieval : Conducts parallel daily close pulls for chosen symbols, substituting NA for invalid inputs to safeguard computational flow. – Rate of Change Derivation : Generates 1-period percentage returns for assets and benchmark, providing the discrete inputs for mean estimation and co-movement analysis. – Invalid Data Safeguarding : Flags missing values with sentinels (-9999) for table rendering as grays, maintaining structural integrity amid data gaps. 🧮 Calculations – Return Series Generation : Applies rate of change over one day to each asset and benchmark, yielding daily percentage shifts as the raw material for sensitivity metrics. – Mean Return Smoothing : Averages returns via simple moving over the lookback, establishing historical performance norms for both series. – Covariance Quantification : Computes the averaged product of asset and benchmark returns minus their means' product, encapsulating directional co-variance. – Benchmark Variance Measurement : Averages squared deviations of benchmark returns from its mean, capturing the reference's inherent volatility. – Beta Coefficient Computation : Divides covariance by variance to derive systemic sensitivity, where values above 1.0 indicate amplification and below suggest dampening. – NA Handling in Metrics : Defaults beta to NA for zero-variance benchmarks, preventing division errors while displaying as neutrals. 📋 Table Display – Dynamic Layout Scaling : Constructs columns (up to 9 for tri-set grouping) and rows based on asset volume plus header, optimizing density for seamless 1-33 symbol integration. – Main Table Structuring : Branded header spans the top row, succeeded by asset symbols, rounded betas (3 decimals), and sensitivity emojis in compact trios for efficient row-wise scanning. – Beta Color Spectrum : Applies gradient mapping from low (red) via neutral (midpoint) to high (green), with grays for invalids—facilitates instantaneous volatility profile assessment. – Emoji Sensitivity Cues : Deploys rocket for above-median betas (high sensitivity) and downward arrow for below (low sensitivity), infusing quick visual narrative. – Median Table Compact View : Single-column encapsulation of central beta with gradient hue, anchoring relative evaluations as a market-neutral fulcrum. – Top Beta Table Ranking : Descending sort in 3-column format (symbol, value, emoji) with header branding, concentrating on amplified assets for volatility-focused decisions. – Index-Driven Sorting : Leverages array indices for efficient descending extraction, reconstructing views while retaining originals for accurate median computation. 🔔 Alerts – Dynamic Alert Assembly : Constructs newline-formatted lists of symbols and rounded betas on the final bar, excising prefixes for concise messaging. – Bar-Close Triggering : Fires alerts once per close with the entire dataset, supporting seamless external tooling or notifications. – Formatted Output Optimization : Ensures clean, parseable content by omitting NAs, focusing on viable data for integration. ✅ Key Takeaways – Illuminates asset-market sensitivity through beta coefficients, guiding volatility-aligned portfolio construction. – Gradient tables with medians and tops transform raw metrics into actionable, scannable intelligence. – Extensive symbol customization supports bespoke crypto monitoring from majors to alts. – Emojis and colors add intuitive flair, accelerating relative strength identification. – Automated alerts distill full scans into digestible updates, bridging analysis to execution.
Indicador Pine Script®
por PROFABIGHI_CAPITAL
Alpha Tracker -> PROFABIGHI_CAPITAL🌟 Overview The Alpha Tracker → PROFABIGHI_CAPITAL is a sophisticated performance analytics tool that computes and visualizes the risk-adjusted excess returns (alpha) of up to 33 customizable altcoins against a user-defined benchmark over a flexible lookback horizon. By leveraging daily return covariance and beta adjustments, it dynamically generates color-gradient tables showcasing individual alphas, median benchmarks, and ranked top performers with intuitive emoji indicators, empowering traders to swiftly pinpoint relative outperformance and inform portfolio rotations or allocation decisions. ⚙️ General Settings – Alpha Measurement Length : Defines the historical window for return averaging and covariance calculations, where shorter periods emphasize recent momentum while longer horizons capture sustained trends—crucial for aligning with trading horizons like short-term scalping (e.g., 10-20 days) versus long-term positioning (e.g., 50+ days). – Benchmark Symbol : Serves as the market reference for alpha isolation, typically a broad index like total crypto cap to gauge systemic risk-adjusted gains; selecting alternatives like Bitcoin enables coin-specific outperformance analysis. – Number of Altcoins to Display : Controls the scale of the main table, from a focused watchlist of 5-10 high-conviction assets to a comprehensive 33-symbol scan for broad-market screening—impacts computational load and visual density. – Number of Top Alpha Assets : Limits the dedicated leaderboard to the highest alphas, streamlining focus on actionable leaders (e.g., 3-7 for quick scans) while maintaining full data in the primary view for deeper dives. 💎 Asset Selection Settings – Asset 1-17 (Left Group) : Curates the primary column of the main table with foundational altcoins, allowing sequential customization from blue-chip like ETHUSD to mid-caps like XRPUSD—each input fetches daily closes for independent alpha computation, with tooltips guiding symbol formatting. – Asset 18-33 (Right Group) : Expands to secondary symbols in the right column, supporting diverse exposure from established tokens like LTCUSD to emerging ones like ONDOUSD—seamless integration ensures balanced left-right distribution for ergonomic table reading. – Dynamic Input Scaling : Automatically accommodates the total asset count by disabling unused inputs, preventing errors and optimizing data fetches—enables modular expansion from a minimal 5-asset portfolio to full 33 for exhaustive coverage. 🎨 Table Style Settings – Low Alpha Color : Establishes the gradient's underperformance endpoint (e.g., deep red for negative alphas), visually signaling laggards that may warrant reduction or avoidance in allocations. – High Alpha Color : Sets the outperformer anchor (e.g., bright green for positive alphas), highlighting assets generating excess returns beyond benchmark expectations. – Neutral Alpha Value : Anchors the color spectrum's midpoint, where zero or breakeven alphas transition from red to green—fine-tuning shifts the bias toward aggressive or conservative interpretations. – Alpha Color Range : Widens or narrows the transition bandwidth around neutral, creating smoother blends for subtle rankings or sharper contrasts for binary hot/cold asset identification. – Table Background : Applies a semi-opaque dark base across all tables, ensuring low-glare readability on both light and dark themes while maintaining professional aesthetics. – Table Border : Defines frame outlines for structural definition, with gray subtlety preventing visual clutter while framing content effectively. 📡 Data Fetching – Benchmark Data Retrieval : Employs security requests for daily closes from the chosen symbol, ensuring a stable time series for covariance baseline without intraday noise. – Asset Data Retrieval : Parallel daily close fetches for selected symbols, gracefully handling invalid inputs by substituting NA values to preserve table stability. – Rate of Change Computation : Derives 1-period percentage returns for assets and benchmark, forming the raw input for mean and covariance matrices. – Error Handling for NA Values : Replaces missing data with sentinel placeholders (-9999) in tables, displaying as gray neutrals to flag data gaps without disrupting layout. 🧮 Calculations – Return Series Generation : Applies rate of change over one day for each asset and benchmark, capturing discrete daily movements essential for alpha's excess return focus. – Mean Return Averaging : Computes simple moving averages of returns over the lookback, providing smoothed historical performance baselines for both series. – Covariance Estimation : Averages the product of asset and benchmark returns minus their means' product, quantifying linear co-dependence critical for beta adjustment. – Benchmark Variance : Averages squared benchmark deviations from its mean, measuring systemic volatility to normalize asset sensitivity. – Beta Coefficient : Divides covariance by variance to derive market beta, isolating systematic risk before alpha extraction. – Alpha Derivation : Subtracts beta-adjusted benchmark mean from asset mean, yielding the intercept as true excess return attributable to security-specific factors. 📋 Table Display – Dynamic Table Dimensions : Auto-scales columns (up to 9 for tri-column layout) and rows based on asset count plus header, optimizing space for 1-33 symbols without overflow. – Main Table Population : Features a branded header spanning the top, followed by asset symbols, rounded alphas (3 decimals), and performance emojis in balanced trios for scannable rows. – Alpha Color Gradient : Maps values from low (red) through neutral (midpoint) to high (green), with gray for invalids—enables instant visual ranking across the dataset. – Emoji Performance Icons : Renders rocket for above-median alphas (outperformers) and downward arrow for below (laggards), adding emotional quick-scan appeal. – Median Table Summary : Compact single-column view of the central alpha with gradient coloring, serving as a neutral benchmark for relative assessments. – Top Assets Table : Ranks the highest alphas descending in a 3-column format (symbol, value, emoji), with header branding for focused opportunity highlighting. – Array-Based Sorting : Generates descending indices from alpha array, reconstructing sorted lists for leaderboard extraction while preserving originals for display. 🔔 Alerts – Dynamic Alert Construction : Compiles a newline-separated list of symbols and rounded alphas on the last bar, stripping prefixes for clean formatting. – Once-Per-Bar Frequency : Triggers alerts at close with the complete dataset, facilitating external integrations like notifications or automation. – Content Customization : Formats messages for readability, excluding NA values to focus on actionable data points. ✅ Key Takeaways – Streamlines alpha computation across portfolios, transforming complex risk-adjusted metrics into intuitive, gradient-scored tables for rapid insights. – Benchmark-relative ranking with medians and tops enables proactive asset rotation based on true outperformance. – Customizable symbols and lookbacks adapt to diverse crypto watches, from majors to niche alts. – Visual emojis and colors provide at-a-glance sentiment, complementing numerical precision. – Automated alerts deliver full-dataset updates, bridging analysis to actionable trading decisions.
Indicador Pine Script®
por PROFABIGHI_CAPITAL
India VIX Based Nifty/BankNifty Range Calculator (Auto Fetch)VIX-Based Expected Daily Range (Auto Volatility Forecast) Created by: Harshiv Symposium 📖 Purpose This indicator automatically fetches the India VIX value and calculates the expected daily price range for major Indian indices such as Nifty and BankNifty. It helps traders understand how much the market is likely to move today based on current volatility conditions. Designed for educational and analytical awareness, not for signals or profit-making systems. ⚙️ Core Logic Expected Daily Move (Range) = (India VIX × Current Index Price) ÷ Multiplier - Multiplier for Nifty: 1000 - Multiplier for BankNifty: 700 This calculation projects the 1-standard-deviation (≈ 68% probability) and 2-standard-deviation (≈ 95% probability) movement zones for the day. 📊 Example If India VIX = 15 and Nifty = 25,000: Expected Move ≈ (15 × 25,000) ÷ 1000 = 375 points Hence, - 68% Range: 24,625 – 25,375 - 95% Range: 24,250 – 25,750 This gives traders a realistic idea of daily volatility boundaries. 🧭 Key Features ✅ Auto-Fetch India VIX No need for manual input — automatically pulls live data from NSE:INDIAVIX. ✅ Dynamic Range Visualization Plots upper/lower boundaries for 1σ and 2σ probability zones with shaded expected-move area. ✅ Dashboard Panel Displays: - Current VIX - Expected Move (in points and %) - Upper and Lower Ranges ✅ Smart Alerts Alerts when price crosses upper or lower volatility range — potential breakout signal. 🎯 How It Helps Intraday Traders: Know the likely daily movement (e.g., ±220 pts on Nifty) and plan realistic targets or stops. Options Traders: Quickly assess whether it’s a seller-friendly (low VIX, small range) or buyer-friendly (high VIX, large range) session. Risk Managers: Use volatility context for stop-loss width and position sizing. Breakout Traders: If price breaks beyond the 2σ range → indicates potential volatility expansion. 💡 Interpretation Guide Condition Market Behavior Strategy Insight VIX ↓ ( < 14 ) Calm / Range-bound Option Selling Edge VIX ↑ ( > 20 ) Volatile Sessions Option Buying Edge Price within Range Stable Market Mean Reversion Setups Price breaks Range Volatility Expansion Breakout Trades ⚠️ Disclaimer This indicator is for educational and awareness purposes only. It does not generate buy/sell signals or guarantee returns. Always apply your own analysis and risk management.
Indicador Pine Script®
por harshivsymposium
SSMT [TakingProphets]SSMT (Sequential SMT) — multi-cycle intermarket divergence with quarter-based timing Purpose Informational overlay that detects intermarket SMT divergences between the chart symbol and a user-selected correlated symbol. It does not generate buy/sell signals and is not financial advice. Use it to structure analysis and alerts, not to automate trades. What it does Scans for SMT on five coordinated cycles: Micro, 90-Minute, Daily (Q1–Q4), Weekly, Monthly. Draws anchored lines and labels where divergences occur and keeps them after the period ends so you can use historical SMTs as context. Offers per-cycle alerts (high-side/bearish, low-side/bullish). Optional session/quarter boxes for timing context. Time base uses America/New_York to align with common session conventions (with a 17:00–18:00 ET pause guard for CME instruments). Why these modules belong together (more than a mashup) All cycles share a single time-partitioning framework (quarters/sessions → day → week → month). That common clock means: Comparability: divergences on Micro/90m/D/W/M are directly comparable because they’re computed with the same boundaries for both instruments. Sequencing: higher-cycle context can gate lower-cycle events (e.g., a Daily Q3 divergence framing how you treat a Micro divergence). Persistence: drawings retain the cycle identity (e.g., , ) so prior signals remain interpretable as the market progresses. This is a coherent engine—not separate indicators pasted together—because detection, labeling, alerts, and persistence are all driven by the same quarter/period state machine. How it works (high-level mechanics) Time partitioning Daily quarters (ET): Q1: 18:00–00:00 Q2: 00:00–06:00 Q3: 06:00–12:00 Q4: 12:00–18:00 90-Minute cycle: four 90-minute blocks inside the active session. Micro cycle: finer 20–22 minute blocks inside the session for granular timing. Weekly/Monthly: tracked by calendar periods (Mon–Fri, and calendar month). Pause guard: 17:00–18:00 ET to avoid false transitions during CME’s daily maintenance window. State tracking (per cycle) Tracks previous vs. current highs/lows for the chart symbol and the correlated symbol (fetched at the same timeframe). Maintains cycle IDs (e.g., year*100 + weekofyear for weekly) so drawings remain tied to the originating period. Divergence condition (SMT) High-side (bearish): one instrument makes a higher high vs. its previous period while the other does not. Low-side (bullish): one instrument makes a lower low vs. its previous period while the other does not. When detected, the script plots a labeled span/line (e.g., SSMT w/ES) and records it for persistence. Alerts Two per cycle: High-side (bearish) and Low-side (bullish). Fire on the bar where the condition first becomes true. Inputs & customization Correlated symbol (default can be an index future). Cycle toggles: Micro, 90m, Daily (Q1–Q4), Weekly, Monthly. Styling: line color/width, label text/size. Session/quarter boxes: on/off. Alerts: per-cycle SMT events on/off. How to use Add the indicator to your chart (e.g., NQ, ES) and select a correlated symbol. Turn on the cycles you want to monitor; optionally enable quarter/session boxes. Interpret SMTs by side: High-side (bearish): chart makes HH, correlated does not. Low-side (bullish): chart makes LL, correlated does not. Set alerts for the cycles that matter to your workflow. Combine with your higher-timeframe narrative and risk rules. Repainting, timing, and limitations Uses higher-timeframe data without look-ahead; values can update intrabar until the period closes. SMTs may form and resolve within a period; conservative users may wait for period close. Assumes America/New_York timing; very thin markets may yield fewer or noisier signals. SMT quality depends on the benchmark you select; correlations vary across regimes. Educational tool only. No performance claims; not a signal generator. Originality & scope (for protected/invite-only publications) A multi-cycle SMT engine built on a shared quarter/period state machine (Micro → 90m → Daily Q1–Q4 → Weekly → Monthly). Quarter-aware persistence keeps divergence drawings tied to their source cycle for durable context. CME pause handling and stable calendar IDs make detections consistent across sessions and rollovers. Implements SMT through extremum sequencing and cross-instrument comparison rather than wrapping generic divergence indicators.
Indicador Pine Script®
por TakingProphets
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CRT [TakingProphets]CRT (Candle Range Theory) — HTF context overlay with alerts Purpose Informational overlay to structure higher-timeframe (HTF) context. It does not generate buy/sell signals and is not financial advice. Use it to organize analysis and alerts—not to automate trades. What it does Projects HTF candles (1m → 1M) on any lower timeframe so the big picture stays on the chart. Detects CRT transitions on the HTF (bullish/bearish “failed continuation” pattern). Evaluates SMT divergence vs. a user-selected correlated instrument on the same HTF (historical & real-time). Extends live HTF Open/High/Low/Close as developing reference levels. Concepts (what it looks for) Candle Range Theory (CRT) — a 3-bar HTF pattern where candle 2 fails to continue candle 1’s move: Bearish CRT: candle 2 trades above candle 1’s high but closes back inside candle 1’s range and does not break its low. Bullish CRT: candle 2 trades below candle 1’s low but closes back inside candle 1’s range and does not break its high. SMT divergence (intermarket) — compares HTF swing extremes between the chart symbol and a correlated symbol: Bearish SMT: one makes a higher high while the other does not. Bullish SMT: one makes a lower low while the other does not. Checked in two modes: historical (between the two last closed HTF bars) and real-time (last closed vs. current forming HTF bar). How the elements work together (integration, not a mashup) All modules share one HTF time base, so annotations describe the same segment of price action. The overlay produces an explicit context state by sequencing the modules in this order: HTF Projection → Structural Frame The last three HTF candles are drawn (bodies+wicks). This creates the “canvas” the rest of the logic references (ranges, highs/lows, and time boundaries). CRT Test → Directional Bias Candidate The script evaluates the 3-bar CRT conditions on those exact HTF candles (not lower-TF approximations). If conditions are forming on the current HTF bar, status is CRT Forming. If they complete on the close, status becomes CRT Confirmed (Bullish/Bearish). SMT Check → Confirmation/Stress-Test on the Same HTF Using the same HTF window, the tool compares swing progress with the correlated symbol. Historical SMT comments on whether the prior HTF segment’s push had intermarket agreement. Real-time SMT comments on the current forming push. This lets you confirm a CRT bias (e.g., Bearish CRT + Bearish SMT) or challenge it (e.g., Bullish CRT but Bearish SMT). Live HTF OHLC → Actionable Reference Levels The current HTF Open/High/Low/Close are extended as levels. These are the decision rails you’ll typically use to judge follow-through, failure, mitigation, or targets in the same CRT/SMT context. Resulting context states (what you’ll see in alerts/labels): Neutral (no CRT; SMT may still inform context). CRT Forming (monitor): HTF push is underway; watch real-time SMT into HTF High/Low/Close projections. CRT Confirmed (bias): HTF failure pattern locked; use projections as reference for continuation/invalidations. CRT + SMT Aligned (confluence): CRT direction agrees with SMT; strongest context. CRT vs. SMT Mixed (caution): bias exists but intermarket is disagreeing; treat levels as potential fade zones. Why this is not a mashup Every module is computed and plotted in the same HTF coordinate system, so signals are about one thing: the current HTF segment. CRT provides the bias hypothesis, SMT provides a cross-market test of that hypothesis in the same window, and live OHLC projections supply the exact levels used to act on or fade that hypothesis. Alerts are tied to state transitions (e.g., CRT forming → confirmed; SMT flip), not to unrelated features. Mechanics (high-level) HTF Projection: pulls HTF OHLC/time for the last three HTF bars and renders body boxes + wicks; optional time labels adapt to intraday vs D/W/M. CRT Labels: when the three-bar conditions are met, prints BULLISH CRT or BEARISH CRT on the HTF stack. SMT Lines: draws labeled diagonals across the relevant HTF pair for historical and real-time checks using your correlated symbol. Live Levels: extends the current HTF Open/High/Low/Close horizontally; anchors are deterministic (Open = first bar, High/Low = first occurrence, Close = current bar). Inputs & customization HTF timeframe: 1m–1M. Display: candle width/opacity, borders/wicks, time labels (12h/24h). SMT: enable/disable, correlated symbol, line style/width, optional labels. Projections: enable/disable, left extension (bars), per-level styling and price labels. Alerts: switches for CRT, SMT-historical, SMT-real-time. Alerts (workflow prompts) Bullish/Bearish CRT detected on the selected HTF. Bullish/Bearish SMT (historical) between the two last closed HTF bars. Bullish/Bearish SMT (real-time) between the last closed and current forming HTF bar. Suggested text includes the HTF and current context state so you know if CRT and SMT are aligned or mixed. Example use Bearish scenario: A Bearish CRT confirms on the 4H; soon after, real-time SMT (bearish) appears while price probes the projected 4H High. Context = CRT + SMT Aligned → treat the projected Open/Close as near-term objectives. Mixed scenario: A Bullish CRT forms on 1H, but historical SMT (bearish) printed in the prior segment. Context = Mixed → continue to monitor real-time SMT and projected Low for possible invalidation. Notes & limitations HTF values are provisional until the HTF bar closes; labels/lines can update while forming. SMT depends on the correlated symbol you select; relationships vary by market/regime. Session gaps/illiquid hours can distort extremes and time labels. Educational tool: no performance claims, no entry/exit signals. Originality & scope (for protected/invite-only publications) A unified HTF projection → CRT test → SMT check → live level pipeline that yields explicit context states instead of separate, unrelated overlays. Formal CRT detection performed on actual HTF bars (not lower-TF approximations). Dual-mode SMT tied to the same HTF windows (historical + real-time), plotted as labeled span lines. Deterministic OHLC projection (first-occurrence anchoring) to align decisions with the identified context. Attribution: CRT/SMT concepts inspired by ICT. Design, implementation, and alert framework by TakingProphets.
Indicador Pine Script®
por TakingProphets
Prophet Model [TakingProphets]The Prophet Model — context pipeline (HTF PDA → Sweep → CISD → EPE) with dynamic risk Purpose Informational overlay for organizing institutional context in real time. It does not issue buy/sell signals and is not financial advice. Use it to structure analysis and checklist-driven execution—not to automate decisions. What it does (modules at a glance) Projects HTF PD Arrays (FVGs) onto your current chart and maintains only the nearest active array. Validates directional bias using Candle Range Theory (CRT) on the same HTF. Tracks Liquidity Sweeps (BSL/SSL) on HTF-aware pivots. Confirms Change in State of Delivery (CISD) via displacement after a sweep. Optionally refines entries with EPE when a local (internal) imbalance forms right after CISD. Derives dynamic TP/BE/SL from measured displacement and recent extremes (not fixed distances). Keeps a rules checklist (PDA tap → CRT → Sweep → CISD) and a relationships table (common HTF↔LTF pairings) to enforce process. How it works (integration, not a mashup) The modules are sequenced on one HTF time base so each step gates the next: HTF PD Arrays (context zone). The model identifies valid HTF FVGs, filters tiny/weekend gaps, removes arrays that are invalidated by clean trades-through, and persists only the nearest PDA. This focuses attention on the institutional zone most likely to matter now. CRT (directional gating). CRT on the same HTF establishes a provisional bias. No entries are implied; CRT simply permits or forbids the following steps. If CRT disagrees with the PDA context, the checklist remains incomplete. Liquidity Sweep (event). The model tracks HTF-aware BSL/SSL pivots. A sweep only “counts” if it occurs in relation to the active PDA (tap/engagement). This prevents generic swing-high/low tags from triggering downstream logic. CISD (confirmation). After a qualified sweep, the tool looks for displacement through the sequence open (the open of the impulsive leg beginning at or immediately after the sweep). Crossing that threshold confirms CISD, which marks a structural delivery shift consistent with the CRT bias. EPE (refinement, optional). Immediately following CISD, the model scans for a fresh internal imbalance. If found quickly, it promotes that price area as the Easiest Point of Entry (EPE) and relabels the reference. If not, the CISD level remains primary. Dynamic risk levels. TP/BE/SL are derived from the measured displacement around the CISD leg (e.g., BE ≈ 1× leg, TP ≈ 2.25× stretch; SL aligned to nearby structural extremes rather than a fixed pip offset). Levels update with structure and can display prices. By chaining PDA → CRT → Sweep → CISD → (EPE) → Risk on a single HTF backbone, the tool creates a coherent workflow where later signals simply do not appear without earlier context. That’s why this is not a bundle of independent features: each module’s output is another module’s input. Concepts & operational rules (high level) HTF PD Arrays (FVGs) Uses a standard three-candle gap definition on the chosen HTF, with filters for weekend/tiny gaps. Inverse mitigation: if price trades cleanly through an array, the box is removed and internal state resets. Nearest-PDA persistence: when multiple arrays exist, only the closest remains visible to reduce clutter. Optional right-extension draws lingering influence X bars forward. Candle Range Theory (CRT) Bullish CRT: candle 2 wicks below candle 1’s low but closes back inside candle 1’s range, without taking its high. Bearish CRT: candle 2 wicks above candle 1’s high but closes back inside candle 1’s range, without taking its low. Role: bias validation paired to CISD when alignments match the active PDA. Liquidity Sweeps (BSL/SSL) Tracks candidate HTF pivots as buy-/sell-side liquidity. A sweep registers when price takes a tracked pivot in the vicinity of the active PDA. CISD (Change in State of Delivery) Finds the sequence open for the impulsive leg that begins at/after the sweep. Bearish path (after BSL sweep): CISD when close < sequence-open. Bullish path (after SSL sweep): CISD when close > sequence-open. On confirmation, the model plots a CISD line, checks the box in the Strategy Checklist, and triggers risk calc. EPE (Easiest Point of Entry) Within a short window after CISD, scans for a local imbalance; if present, promotes that level as EPE. If no imbalance forms, CISD remains the operative reference. Dynamic TP / BE / SL Built from the measured leg around CISD (not fixed pip steps). Approximate geometry: BE ≈ 1× leg, TP ≈ 2.25× leg; SL respects nearby structural extremes. Labels and price markers are optional. Architecture notes Maps the current chart to a higher timeframe (e.g., 15s→M5, M1→M15, M5→H1, M15→H4, H1→D, H4→W, D→M). Retrieves HTF OHLC/time with no lookahead so structures update intrabar until the HTF bar closes. Periodic cleanup clears obsolete lines/labels/boxes to keep charts responsive. Inputs (summary) FVGs/PD Arrays: show/hide, colors, borders, label size, right-extension, nearest-only toggle. CRT: enable/disable, label style. Sweeps/CISD/EPE: enable/disable, line/label styles, EPE window. Risk Levels (TP/BE/SL): enable each, price labels on/off, colors. Tables/Checklist: strategy checklist on/off; relationships table (common HTF↔LTF pairings); text sizes and header colors. Alerts (optional) You may add alertconditions aligned with these events in your own workspace: HTF PDA tap (bullish/bearish box) CRT detected (bullish/bearish) CISD confirmed (bullish/bearish) EPE set/updated Example messages: “Prophet: CISD confirmed on {{ticker}} / {{interval}}” “Prophet: EPE refined at {{close}} ({{time}})” Notes & limitations HTF values are provisional until the HTF bar closes; labels/levels can update while forming. CISD/EPE are live conditions; they can form and later invalidate within the same HTF bar. Liquidity relationships vary by market/regime; thin sessions and large gaps can affect clarity. Educational tool only. No performance claims; no trade signals. Originality & scope (for protected/invite-only publications) A single HTF-synchronized engine sequences PDA → CRT → Sweep → CISD → (EPE) and withholds later steps unless prerequisites are met. Nearest-PDA persistence and inverse-mitigation enforce focus on the most relevant institutional zone. Displacement-based risk math ties TP/BE/SL to structure instead of static offsets. Checklist + relationships table promote consistent, rules-first behavior and reduce discretionary drift. Attribution: Concepts inspired by ICT (PD arrays/FVGs, CRT, sweeps, displacement, refined entries). Design, integration logic, and risk framework by TakingProphets.
Indicador Pine Script®
por TakingProphets
HTF Candles [TakingProphets]HTF Candles — higher-timeframe structure, SMT divergence, and live OHLC projections Purpose Informational overlay to keep higher-timeframe (HTF) context visible on a lower-timeframe chart. It does not generate buy/sell signals and is not financial advice. Use it to structure analysis and alerts, not to automate trading. What it does HTF candle visualization (up to 10 candles, optional right-side offset) with bodies, wicks, and time labels. SMT divergence checks on the chosen HTF—both historical (last two completed HTF bars) and real-time (last closed vs. current forming bar) vs. a user-selected correlated symbol (default can be an index future). Live HTF OHLC projections: forward-extending Open / High / Low / Close from the current HTF bar with optional price labels and styling. HTF close timer (optional) to show when the active HTF candle ends. Why these modules belong together (more than a mashup) This overlay uses one HTF time base to align three lenses of the same context: Candle projection provides the structural frame (ranges and bodies of true HTF bars). SMT divergence provides intermarket confirmation/invalidations on that same HTF, so the divergence you see is directly comparable to the projected candles. Live OHLC projections turn the current HTF bar’s evolving state into concrete reference levels for intraday decisions. Because all three share the same HTF clock and data source, alerts and drawings change together when the HTF state actually changes. The intent is a coherent workflow tool where each module gates the others (structure → confirmation → actionable references), rather than separate indicators merely co-plotted. How it works (high-level) Timeframe mapping & data You choose an HTF (1m–1M). The script retrieves HTF OHLC/time without look-ahead. Objects update intrabar until the HTF bar closes. Candle rendering Up to 10 recent HTF candles are drawn as body boxes with wicks. A horizontal offset/spacing option places the stack right of the current price for clarity. Visuals (colors, transparency, borders, wick width, label size/format 12h/24h) are configurable. SMT divergence (historical & real-time) Compares HTF highs/lows of your chart vs. a correlated symbol using the same HTF. Bearish SMT (high-side): one makes a higher high while the other does not. Bullish SMT (low-side): one makes a lower low while the other does not. Historical mode compares HTF → HTF ; real-time mode compares HTF → HTF as the current HTF bar forms. Optional lines/labels mark where the divergence is detected. Live OHLC projections Extends the current HTF Open / High / Low / Close forward as horizontal lines. Anchors: Open = first bar of the HTF period; High/Low = first occurrence of each extreme inside the period; Close = current bar. Each level has independent toggles for price labels, style, and width. Alerts (workflow prompts) Bullish SMT, Bearish SMT, Bullish Real-time SMT, Bearish Real-time SMT. Fire on the bar where the condition first becomes true. Inputs & customization Timeframe: select HTF (1m–1M). Display: number of candles (1–10), right-offset, candle width, transparency, time labels on/off (12h/24h), label size, HTF close timer on/off. Visuals: bullish/bearish body colors, border color, wick color. SMT: enable/disable, correlated symbol, line style/width, labels on/off, alerts on/off. Projections: enable/disable, per-level toggles (Open/High/Low/Close), color/style/width, optional price labels. Notes & limitations HTF values are provisional until the HTF bar closes; lines/labels can update during formation. SMT usefulness depends on the correlated symbol you select; relationships vary by market/regime. Session gaps/low liquidity can affect extremes and time labels. Educational tool only. No performance claims and no trade signals. Originality & scope (for protected/invite-only publications) A single HTF-synchronized engine: candle projection, dual-mode SMT, and live OHLC projections all computed from the same HTF series to ensure consistent timing and interpretation. Real-time SMT explicitly ties the developing HTF bar to the prior closed bar, reducing ambiguity vs. generic divergence checks. Projection anchoring (first-occurrence rules for H/L, period start for Open, current bar for Close) provides deterministic, reproducible reference levels.
Indicador Pine Script®
por TakingProphets
ZLSMA_CEThis indicator combines the power of Chandelier Exit and Zero Lag LSMA (ZLSMA) to provide cleaner trend reversals and early entry alerts. The Chandelier Exit acts as a dynamic stop-loss and trend tracker based on ATR, while ZLSMA smooths price movement with minimal lag — helping traders identify trend continuation or reversals more accurately. When combined, this system provides visual and alert-based Buy/Sell signals that can be used for both swing and intraday strategies.
Indicador Pine Script®
por GauravSinghYadav
ZarzaZarza All-in-One Indicator for God’s Kingdom “But remember the Lord your God, for it is He who gives you the power to get wealth, that He may establish His covenant.” — Deuteronomy 8:18 The Zarza All-in-One Indicator is more than a trading tool — it’s a divinely inspired system designed to help Kingdom traders operate with clarity, discipline, and spiritual alignment in the markets. Built to detect momentum shifts, liquidity zones, reversals, and smart-money movements, this indicator brings together the best of technical precision and prophetic purpose. This isn’t just about charts — it’s about stewardship. Every trade is an act of faith and discernment, partnering with Heaven’s wisdom to prepare for the great wealth transfer that will fund God’s Kingdom projects and reach souls across the nations.
Indicador Pine Script®
por pddcnllc
AO Divergence RCT PRO//@description=This indicator, AO Divergence Pro, is a powerful tool designed to automatically identify and plot both classic and hidden divergences on the Awesome Oscillator (AO). Divergences occur when the price action and the oscillator move in opposite directions, often signaling a potential shift in market momentum. // // --- Key Features --- // 1. Regular (Classic) Divergence Detection: This feature identifies potential trend reversals. // - A **Bullish Regular Divergence** (labeled 'R') is found when the price makes a lower low, but the AO makes a higher low. This suggests that downward momentum is weakening and a reversal to the upside may be imminent. // - A **Bearish Regular Divergence** (labeled 'R') is found when the price makes a higher high, but the AO makes a lower high. This suggests that upward momentum is fading and a reversal to the downside may be coming. // // 2. Hidden Divergence Detection: This feature identifies potential trend continuations. // - A **Bullish Hidden Divergence** (labeled 'H') is found when the price makes a higher low, but the AO makes a lower low. This often occurs during a pullback in an uptrend, suggesting the trend is likely to resume. // - A **Bearish Hidden Divergence** (labeled 'H') is found when the price makes a lower high, but the AO makes a higher high. This often occurs during a rally in a downtrend, suggesting the downtrend is likely to continue. // // 3. Full Customization: The indicator allows you to toggle the display of each type of divergence (Bullish/Bearish, Regular/Hidden) independently. You can also adjust the pivot detection sensitivity and the time range between divergences to filter signals according to your trading style. // // --- How to Use --- // 1. **Identify Reversals:** Look for the 'R' labels on the chart. A bullish 'R' in a downtrend is a strong signal to consider a long position. A bearish 'R' in an uptrend is a signal to consider a short position. // 2. **Confirm Continuations:** Look for the 'H' labels. A bullish 'H' during an uptrend pullback can be a good opportunity to add to your position. A bearish 'H' during a downtrend rally can be a signal to enter a short trade. // 3. **Filter Signals:** Use the settings panel to control the number of signals. For example, increasing the "Min Bars Between" will show fewer, but potentially more reliable, divergences. // // --- Attribution --- // Created by Carlos Mauricio Vizcarra. // // --- Disclaimer --- // This script is for informational and educational purposes only. It is not financial advice. Past performance is not indicative of future results.
Indicador Pine Script®
por CARLOSVIZCARRA17
Quarter Levels — Auto Recentering NQ onlyQuarter Levels — Auto Recentering (PERMANENT) + Big Offset Labels What it is This tool paints true horizontal key levels that traders naturally anchor to: the 00 / 25 / 50 / 75 quarter levels (black), the 35 / 65 / 90 reaction levels (red), and the 10 / 80 sweep/edge levels (purple). Lines are infinite horizontals and the grid auto-recenters ±200 points around current price each new bar. Labels on the right show the last two digits (e.g., 25, 35, 50, 65, 75, 80, 90), so you instantly know which level you’re at. Why it helps Markets often “snap” to simple numbers. These levels create a clean scaffold for intraday structure, pullbacks, and rotations—without clutter or lagging math. Color Legend Black — 00 / 25 / 50 / 75: Core quarter levels. Expect frequent pauses, re-tests, and rotations. Use: default S/R map; bias for mean-reversion inside ranges. Red — 35 / 65 / 90: “Continuation / reaction” levels. Price often accelerates through these once momentum takes. Use: breakout guides and precise take-profit targets. Purple — 10 / 80: Sweep / edge levels. Price often wicks into these and rejects. Use: fade the last push, or confirm a sweep before a reversal. How it works The script draws the levels as extend.both horizontals (not derived from candle points). Every new bar, it rebuilds the grid around close ± 200 pts (editable in code: RANGE_POINTS). Prices are snapped to tick (syminfo.mintick) so lines lock to the Y-axis. Labels show only the offset (two-digit number) to keep the chart clean. Setup & Customization No inputs required. If you want tweaks, open the code and edit at the top: RANGE_POINTS – widen/narrow the vertical coverage. LABEL_OFFSET – push labels further to the right. LABEL_SIZE – size.small / normal / large. Color & width constants (per group). Practical Use (playbook) Use this grid as a price map, not a signal generator. Combine it with your execution tools. 1) In Range Conditions Fade to Black: When price rotates inside a range, look for exhaustion into black levels (00/25/50/75). Plan: wait for rejection (wick + failed follow-through), enter back toward the mid/next quarter. Stop just beyond the level; first target the next red or black. Purple Sweeps: Watch quick spikes into 10/80 that immediately fail. Plan: fade the sweep with tight risk; scale out at 25/75; hold a runner to 50. 2) In Trend / Momentum Red Rails (35/65/90): When momentum is strong, price often steps through red levels cleanly. Plan: use them as continuation targets or trail anchors. If pullback holds above a prior red level, consider continuation with stop below that level. Quarter-to-Quarter Ladders: In clean trends, expect quarter-to-quarter traversals (00→25→50→75→00…). Plan: add on pullbacks to 25 or 50 with trend confirmation (e.g., 9/21 EMA stack or anchored VWAP hold). 3) Confluence (AI-logic suggestions) Pair the grid with any two of: VWAP / Anchored VWAP: Rejections at a quarter level + VWAP = higher quality entry. EMAs (9/21/50/200): Use as directional filter. Only take longs at quarters when fast EMAs > slow EMAs. Liquidity cues: Prior high/low, session O/H/L, or liquidity pools aligning with a quarter level. Orderflow / footprint: Aggressive delta through a red level? Expect follow-through to the next black or red. Volatility (ATR): If ATR expands, lean more on red levels (continuations). In compression, lean more on black and purple (fades). Risk & Management Tips Stops: Just beyond the level you’re trading against. Let the level “be wrong” to prove you wrong. Targets: Next red or black line. Scale at the first, hold a small runner to the next. Session awareness: Levels interact differently in Asia/EU/US. In US RTH, expect sharper responses at red and purple. Timeframes: Works across all. Intraday (1–15m) for entries; 1h/4h daily for context. Do not chase: If you miss the touch, wait for the next level; the map is dense by design. Limitations This indicator does not generate buy/sell signals; it supplies a stable structure. In runaway trends, price can cut through multiple lines—use trend filters and risk caps. Auto-recentering means the visible band travels with price; if you need static levels far away, increase RANGE_POINTS. Troubleshooting No labels? Make sure max_labels_count isn’t hit and SHOW_LABELS = true. Labels too close to price? Increase LABEL_OFFSET. Too many lines? Reduce RANGE_POINTS or hide a color group in code. Credits / License Created by: TRC — The Refuge Camp License: Free to use on TradingView with attribution. If you fork or embed, please credit “TRC — The Refuge Camp” and link back to the original post/profile. Quick Start (TL;DR) Add the script. Trade the map: Fade purple/black in ranges. Target red/black in trends. Combine with VWAP/EMAs or your orderflow tool for confirmation. Respect stops just beyond the level; scale at the next line. Happy trading, and welcome to the Quarter-Level grid.
Indicador Pine Script®
por The_Refuge_Camp