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SAO RUBIQ Regime v1.1# SAO · RUBIQ — Regime Visualizer **by SNP420 · Jarvis Claudos · Finexus s.r.o.** *Pine Script v6 · Build 2026-05-26* --- ## What is it A research-grade market regime overlay that classifies every confirmed bar into one of **five regimes** and paints the chart accordingly. Born out of a simple insight: > *"The right algorithm in the wrong phase of the market still fails — > even when it is 100% correct under ideal conditions."* This is the central thesis of the **SAO · RUBIQ** project: every strategy lives or dies inside a specific regime × timeframe cell. Without active regime perception, every trading system is necessarily under-performing on the bars it was not designed for. This indicator makes those cells visible. ## The five regimes | Regime | Meaning | | ------------- | -------------------------------------------------------- | | **BULL_CALM** | Trending up with low realized volatility | | **BEAR_CALM** | Trending down with low realized volatility | | **RANGE** | Sideways with narrow Bollinger width | | **CHOPPY** | Sideways with high noise / many directional flips | | **STRESS** | Volatility spike — any 2 of {rv, ATR z-score, bar range} | | *UNCERTAIN* | Fallback — nothing fits cleanly (no box drawn) | Priority order: **STRESS > BULL > BEAR > RANGE > CHOPPY > UNCERTAIN.** ## How it works The indicator computes the full RUBIQ v1.1 feature stack on every bar: - ATR(14), ADX/DI(14), Bollinger(20, 2) - 20-bar realized volatility, 30-bar directional flips - HH / HL / LH / LL pivot-swing counts in a 30-bar window - 500-bar rolling medians for BBwidth, RV, ATR, bar range - ATR z-score, bar-range ratio, price drift in ATR units It then applies a calibrated rule set (per-feature thresholds derived from EUR/USD M30 2024-2025 baseline) and assigns one of the six labels. A hysteresis smoother (`min_run = 5` bars, configurable) suppresses flicker — a regime is only committed after enough confirming bars. ## Visualization (FX-Sessions-style) - **Dashed segment boxes** — one box per confirmed regime run, sized to that segment's high/low range. Mirrors the FX Market Sessions look. - **Background tint** — semi-transparent regime color over the active span. - **Bar color** (off by default) — paints OHLC bars with the regime color. - **Segment label** — regime name anchored to the top of the box. - **Info table** (top-right) — current state + live feature values. - **Stats table** (bottom-right) — N bars and % share per regime across the visible history. UNCERTAIN bars deliberately render no box and no tint — keeps the chart clean and matches the "no session" look of FX Sessions. ## Settings worth knowing - **Calibrated v1.1 rules** (default on) — ~45% confident coverage on EUR/USD M30. Turn off for strict v1 (~6% coverage, mostly UNCERTAIN — useful for research only). - **Hysteresis min_run** — bars of consistent raw state before commit. Bigger value = less flicker, more boundary lag. - **Norm median lookback** (500) — window for the rolling median of BBwidth / RV / ATR / bar range. Lower it for faster adaptation. - **Swing / drift window** (30) — pivot-count window and `price_drift_atr` reference horizon. - **All six regime colors** — fully overridable. ## Sanity-check expectation (EUR/USD M30, 2 years) If the calibration baseline holds on your data window, the stats table should land near: | State | Share | | --------- | ------ | | BULL_CALM | ~12% | | BEAR_CALM | ~12% | | RANGE | ~7% | | CHOPPY | ~10% | | STRESS | ~3.5% | | UNCERTAIN | ~55% | Any major divergence on a fresh window = signal to re-validate (regime shift, threshold drift, or data-feed alignment). ## Honest limitations — please read - **Tuned to EUR/USD M30 vol scale.** Features themselves are TF-agnostic, but the cut points (`rv20_norm < 1.8`, `ADX > 20`, `price_drift_atr > 1.5`, etc.) were calibrated on M30. On H1, D1, crypto or equities the regime distribution will be approximate unless you re-tune. - **v1.1 direction-mapping is incomplete.** Validation diagonal score is 1/5 — BEAR_CALM bars in the 2024-2025 baseline have a slight *positive* forward drift. The labels are statistically informative (shuffle MC p<0.001) but trade-direction routing needs a v1.2 fix. **Treat this indicator as a labeled regime overlay for research, not as a stand-alone trade-direction signal.** - **Streaming hysteresis ≠ offline two-sided smoothing.** Boundary detection lags by approximately `min_run - 1` bars in real time. ## Alerts Five alert conditions ship in: - Regime → STRESS - Regime → BULL_CALM - Regime → BEAR_CALM - Regime → RANGE - Regime → CHOPPY Each fires on transition (state differs from previous bar). ## Credits & attribution - **Visual style** inspired by *FX Market Sessions* by **boitoki** (Mozilla Public License 2.0). The segment-box-per-run pattern is borrowed from that script; all classifier logic and feature math is original to SAO · RUBIQ. - **RUBIQ thesis** — *Rubik's-cube model of the market*: the right algorithm in the wrong market phase still fails. Distilled from 100+ failed variants across the SAO portfolio. - **Built by** SNP420 · Jarvis Claudos · Finexus s.r.o. ## License Same as the parent SAO_RUBIQ project. Use freely, modify freely, attribute when republishing. --- *"Trh je proměnlivé prostředí. RUBIQ je centrální nervová soustava, která to řeší pro všechny SAO strategie."* — SNP420
Pine Script® indicator
by SNP_420
EMA Wave Rider (Beginner Edition)The EMA Wave Rider (Beginner Edition) is a simple trend-following indicator designed to help new traders understand market direction and momentum without overcomplicating their charts. ━━━━━━━━━━━━━━━━━━━━━━━ 📊 WHAT THIS TOOL USES ━━━━━━━━━━━━━━━━━━━━━━━ • 5 EMA → Fast momentum • 13 EMA → Signal confirmation • 50 EMA → Trend direction ━━━━━━━━━━━━━━━━━━━━━━━ 🎯 HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━ 1. Follow the background: • Green = Buy environment • Red = Sell environment 2. Take signals in that direction: • BUY signals in green zones • SELL signals in red zones 3. Avoid sideways markets: • If EMAs are flat or crossing repeatedly → do not trade ━━━━━━━━━━━━━━━━━━━━━━━ 📍 SUPPORT & RESISTANCE ━━━━━━━━━━━━━━━━━━━━━━━ Built-in support and resistance levels help identify key areas for entries and exits. ━━━━━━━━━━━━━━━━━━━━━━━ ⏱️ BEST SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━ • Timeframe: 1 Hour • Markets: Forex (GBPUSD, EURUSD) ━━━━━━━━━━━━━━━━━━━━━━━ 📌 CORE RULE ━━━━━━━━━━━━━━━━━━━━━━━ No trend = No trade. ━━━━━━━━━━━━━━━━━━━━━━━ Built by Chart and Cash
Pine Script® indicator
by VisionStriker
Blanco V3 (PRO MTF System)**Blanco V3 – Advanced Precision Trading System** Blanco V3 is the next evolution of the Blanco series, designed to deliver **precision entries, stronger confirmations, and cleaner decision-making**. It builds on the foundation of Blanco V1 and V2 by enhancing timing, filtering noise, and introducing smarter multi-timeframe alignment. At its core, Blanco V3 uses a **Zero Lag EMA (ZLEMA)** to reduce delay and detect trend direction faster than traditional indicators. Combined with advanced filters, it helps traders enter earlier while avoiding weak or late setups. --- ### ⚙️ Intelligent Trading Modes Blanco V3 features three adaptive modes that dynamically adjust strictness: * **Aggressive Mode** Faster signals with more entries. Ideal for scalping and lower timeframes. * **Balanced Mode (Recommended)** Optimized for consistency. Balances signal quality and frequency. * **Conservative Mode** Focuses only on the strongest setups. Best for swing trading and higher timeframes. Each mode automatically adjusts: * Trend strength thresholds (ADX) * Momentum requirements (RSI) * Entry precision (pullback sensitivity) --- ### 📊 Signal System Blanco V3 delivers a refined 3-layer signal structure: #### 🔺 Entry Signals (Precision Arrows) Small arrows mark optimized entry points using: * Pullbacks toward the ZLEMA * Momentum confirmation (RSI alignment) * Strong trend validation (ADX filter) * Candle strength (price action confirmation) These signals are designed to **improve timing and avoid chasing price**. --- #### 🟢 BUY / 🔴 SELL Labels (Trend Confirmation) Larger labels appear when the overall trend shifts direction, helping traders identify: * Swing entries * Trend reversals * Continuation opportunities --- #### ❗ Elite Signals (Full Alignment) Blanco V3 introduces enhanced **Elite Signals**, which appear only when: * A valid entry signal is triggered * AND all monitored timeframes are aligned These signals represent the **highest-probability setups**, combining trend, momentum, and full market agreement. --- ### 🧠 Multi-Timeframe Intelligence Blanco V3 includes a bright, easy-to-read dashboard showing trend direction across: * 5-minute * 15-minute * 30-minute * 1-hour * 2-hour * 4-hour Each timeframe is color-coded: * 🟢 Green = Bullish * 🔴 Red = Bearish --- ### 🔍 Smart Confirmation Logic (NEW) Blanco V3 improves flexibility and accuracy with: * **Partial Alignment (4/6 or more)** Allows earlier entries while maintaining quality * **Full Alignment (6/6)** Triggers ❗ Elite Signals for maximum confidence * **Noise Reduction Filters** Avoids sideways markets and weak momentum conditions --- ### 🎯 Strategy Philosophy Blanco V3 is designed around one key principle: > **Trade with the trend, enter on pullbacks, and confirm with alignment.** It focuses on: * Entering **after retracements**, not breakouts * Trading only in **strong market conditions** * Aligning with **higher timeframe direction** --- ### ⚠️ Best Use * Best on **1H and 4H charts** * Works best in **trending markets** * Combine with: * Risk management * Support & resistance * Market structure --- ### 📌 Quick Guide * 🔺 Arrows = precise entries * 🟢 BUY / 🔴 SELL = trend shifts * ❗ = elite high-probability trades * 📊 Dashboard = multi-timeframe confirmation --- **Blanco V3 is built for traders who want cleaner charts, smarter entries, and higher-quality signals — all in one system.**
Pine Script® indicator
by blancoaby01
Price per m2 Argentina CABA USD/m2 - SMAs (1999-2025)Overview This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) with monthly data (2012–2025) to reconstruct a long-term residential real estate pricing series. All values were manually digitized, cleaned, and consolidated from public reports and market datasets to create a continuous analytical framework for historical valuation analysis. The script also includes SMA20, SMA50, and SMA100 calculated over the custom dataset to support long-term trend analysis, cycle identification, and macro structural evaluation. Data Sources 1999–2011 (Annual): Maure Real Estate Market Reports 2012–2020 (Monthly): UCEMA Real Estate Index 2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor All datasets referenced are derived from publicly available reports and institutional publications. How to Use This Indicator *USE ON THE 1 MONTH TIMEFRAME* This tool enables investors, developers, and market analysts to: • Identify multi-year trend shifts in residential real estate valuations • Compare pricing cycles against Argentine macroeconomic environments • Map long-term support and resistance zones • Detect early signs of market recovery or contraction • Integrate real estate fundamentals with technical analysis frameworks The moving averages help visualize structural trends that are typically less observable in traditional property datasets. About This Work This historical series was reconstructed and coded by Engineer Francisco Michelich through the consolidation of market research, statistical normalization, and technical analysis methodologies. This script does not represent an official financial index and is not affiliated with the original data institutions. It is intended solely as an educational and analytical tool for visualizing long-term trends in the Buenos Aires, Argentina residential real estate market.
Pine Script® indicator
by mitchfm
Kinetic Flow [PyraTime]📊 INDICATOR OVERVIEW Kinetic Flow is a professional-grade momentum and trend-detection engine designed for traders who prioritize precision and clarity. By synthesizing Kinetic Flow Analysis with Fractal Efficiency Filtering, the V8 Flow edition provides a sophisticated, data-driven visualization of market regimes while systematically neutralizing noise through its proprietary "Chop Shield." 🎯 CORE TECHNOLOGIES 🔹 Kinetic Flow Engine Adaptive Equilibrium: A state-managed basis line that calculates the path of least resistance. Volatility-Scaled Ribbons: ATR-dynamic channels that expand and contract based on market energy. Iron-Clad Stability: Logic-locked to closed-bar calculations to eliminate intrabar flickering and "ghost" signals. 🔹 Chop Shield (Fractal Efficiency) Market Fragmentation Detection: Mathematically identifies when price action lacks directional efficiency. Regime Filtering: Automatically shifts the indicator into a "Neutral" state during low-efficiency phases to prevent whipsaws. Fibonacci Thresholding: Defaulted to 61.8% for optimal balance between speed and reliability. 🔹 Professional Signal System Transition Labels: High-contrast BUY and SELL markers at momentum pivot points. Overextension Logic: Strategic TP (Take-Profit) markers appear when the "Strain" on the kinetic ribbon reaches exhaustion levels. Visual Regime Mapping: Adaptive candle coloring provides an immediate heat-map of current market conditions (Bullish, Bearish, or Filtered). 🔹 PyraTime Dashboard (V8 HUD Standard) A specialized, monospace HUD positioned at the Bottom-Right for non-intrusive data monitoring: CONTEXT: Real-time regime status (BULLISH | BEARISH | FILTERED). EFFICIENCY: A percentage-based score of directional trend strength. VOL RATIO: Real-time volatility tracking via precision ATR. STATUS: Instant operational feedback (ACTIVE | FILTERED).
Pine Script® indicator
by PyraTime
2
Trend Strength Matrix [JOAT]Trend Strength Matrix — Multi-Timeframe Confluence Analysis System This indicator addresses a specific analytical challenge: how to efficiently compare multiple technical measurements across different timeframes while accounting for their varying scales and interpretations. Rather than managing separate indicator windows with different scales, this tool normalizes four distinct analytical approaches to a common -1 to +1 scale and presents them in a unified matrix format. Why This Combination Adds Value The core problem this indicator solves is analytical fragmentation. Traders often use multiple indicators but struggle with: 1. **Scale Inconsistency**: RSI ranges 0-100, MACD has no fixed range, ADX ranges 0-100 but measures strength not direction 2. **Timeframe Coordination**: Checking multiple timeframes requires switching between charts or cramming multiple indicators 3. **Cognitive Load**: Processing different indicator types simultaneously creates mental overhead 4. **Confluence Assessment**: Determining when multiple approaches agree requires manual comparison This indicator specifically addresses these issues by creating a standardized analytical framework where different measurement approaches can be directly compared both within and across timeframes. Originality and Technical Innovation While the individual components (RSI, MACD, ADX, Moving Average) are standard, the originality lies in: 1. **Unified Normalization System**: Each component is mathematically transformed to a -1 to +1 scale using component-specific normalization that preserves the indicator's core characteristics 2. **Multi-Timeframe Weighting Algorithm**: Higher timeframes receive proportionally more weight (40% current, 25% next, 20% third, 15% fourth) based on the principle that longer timeframes provide more significant context 3. **Real-Time Confluence Scoring**: The composite calculation provides an instant assessment of how much the different analytical approaches agree 4. **Adaptive Visual Encoding**: The heatmap format allows immediate pattern recognition of agreement/disagreement across both indicators and timeframes How the Components Work Together Each component measures a different aspect of market behavior, and their combination provides a more complete analytical picture: **Momentum Component (RSI-based)**: Measures the velocity of price changes by comparing average gains to losses **Trend Component (MACD-based)**: Measures the relationship between fast and slow moving averages, indicating trend acceleration/deceleration **Strength Component (ADX-based)**: Measures trend strength regardless of direction, then applies directional bias **Position Component (MA-based)**: Measures price position relative to a reference average The mathematical relationship between these components creates a comprehensive view: - When all four agree (similar colors), it suggests multiple analytical approaches are aligned - When they disagree (mixed colors), it highlights analytical uncertainty or transition periods - The composite score quantifies the degree of agreement numerically Detailed Component Analysis **1. Momentum Oscillator Component** This component transforms RSI into a centered oscillator by subtracting 50 and dividing by 50, creating a -1 to +1 range where 0 represents equilibrium between buying and selling pressure. // Momentum calculation normalized to -1 to +1 scale float rsi = ta.rsi(close, rsiLength) float rsiScore = (rsi - 50) / 50 // Result: 0 at equilibrium, +1 at extreme overbought, -1 at extreme oversold **2. Moving Average Convergence Component** MACD is normalized by its own volatility (standard deviation) to create a bounded oscillator. This prevents the unbounded nature of MACD from dominating the composite calculation. // MACD normalized by its historical volatility = ta.macd(close, macdFast, macdSlow, macdSignal) float macdStdev = ta.stdev(macdLine, 100) float macdScore = macdStdev != 0 ? math.max(-1, math.min(1, macdLine / (macdStdev * 2))) : 0 **3. Directional Movement Component** This combines ADX (strength) with directional movement (+DI vs -DI) to create a directional strength measurement. ADX alone shows strength but not direction; this component adds directional context. // ADX-based directional strength = calcADX(adxLength) float adxStrength = math.min(adx / 50, 1) // Normalize ADX to 0-1 float adxDirection = plusDI > minusDI ? 1 : -1 // Direction bias float adxScore = adxStrength * adxDirection // Combine strength and direction **4. Price Position Component** This measures price deviation from a moving average, weighted by the magnitude of deviation to distinguish between minor and significant displacements. // Price position relative to moving average float ma = ta.sma(close, maLength) float maDirection = close > ma ? 1 : -1 float maDeviation = math.abs(close - ma) / ma * 10 // Percentage deviation scaled float maScore = math.max(-1, math.min(1, maDirection * math.min(maDeviation, 1))) Multi-Timeframe Integration Logic The multi-timeframe system uses a weighted average that gives more influence to higher timeframes: // Timeframe weighting system float currentTF = composite * 0.40 // Current timeframe: 40% float higherTF1 = composite_tf2 * 0.25 // Next higher: 25% float higherTF2 = composite_tf3 * 0.20 // Third higher: 20% float higherTF3 = composite_tf4 * 0.15 // Fourth higher: 15% float multiTFComposite = currentTF + higherTF1 + higherTF2 + higherTF3 This weighting reflects the principle that higher timeframes provide more significant context for market direction, while lower timeframes provide timing precision. What the Dashboard Shows The heatmap displays a grid where: Each row represents a timeframe Each column shows one component's normalized reading Colors indicate the value: green shades for positive, red shades for negative, gray for neutral The rightmost column shows the composite average for that timeframe Visual Elements Moving Average Line — A simple moving average plotted on the price chart Background Tint — Subtle coloring based on the composite score Shift Labels — Markers when the composite crosses threshold values Dashboard Table — The main heatmap display Inputs Calculation Parameters: Momentum Length (default: 14) MACD Fast/Slow/Signal (default: 12/26/9) Directional Movement Length (default: 14) Moving Average Length (default: 50) Timeframe Settings: Enable/disable multi-timeframe analysis Select additional timeframes to display How to Read the Display Similar colors across a row indicate the components are showing similar readings Mixed colors indicate the components are showing different readings The composite percentage shows the average of all four components Alerts Composite crossed above/below threshold values Strong readings (above 50% or below -50%) Important Limitations and Realistic Expectations This indicator displays current analytical conditions—it does not predict future price movements Agreement between components indicates current analytical alignment, not future price direction All four components are based on historical price data and inherently lag price action Market conditions can change rapidly, making current readings irrelevant Different parameter settings will produce different readings and interpretations No combination of technical indicators can reliably predict future market behavior Strong readings in one direction do not guarantee continued movement in that direction The composite score reflects mathematical relationships, not market fundamentals or sentiment This tool should be used as one input among many in a comprehensive analytical approach Appropriate Use Cases This indicator is designed for: - Analytical organization and efficiency - Multi-timeframe confluence assessment - Pattern recognition in indicator relationships - Educational study of how different analytical approaches relate - Supplementary analysis alongside other methods This indicator is NOT designed for: - Standalone trading signals - Guaranteed profit generation - Market timing precision - Replacement of fundamental analysis - Automated trading systems — Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
4
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions Overview ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength. Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions. The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves. Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength. Conceptual Framework ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines. Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes. Three guiding principles define the framework: Volatility must be conditioned on trend strength Extremes occur within zones, not at lines Signals should emerge from completed wave transitions, not instantaneous touches This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation. Theoretical Foundation The indicator fuses directional movement theory with statistical volatility modeling. Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium. From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases. At its core are three interacting systems: ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves. Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions. State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium. This structure ensures that signals reflect completed volatility waves, not transient noise. How It Works ADX Volatility Waves processes price action through layered wave mechanics: Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength. Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions. Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves. Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave. Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals. Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form. Together, these processes create a continuous, adaptive wave map of volatility behavior. Interpretation ADX Volatility Waves reframes market reading around volatility cycles: Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility. Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion. Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals. Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion. Wave progression and completion matter more than single-bar interactions. Signal Logic & Visual Cues ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period. Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger. Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress. All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods. Strategy Integration ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks: Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries. Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion. Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions. Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves. Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior. Technical Implementation Details Core Engine : ADX-normalized volatility expansion Wave System : Smoothed, offset, expanded volatility waves Visualization : Multi-layer gradient wave zones Signal Logic : State-based wave transitions with cooldown enforcement Alerts : Wave entry, wave completion, volatility compression Performance Profile : Lightweight, real-time optimized overlay Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Short-term volatility waves and intraday transitions 15 - 60 min : Structured intraday wave cycles 4H - Daily : Macro volatility regimes and expansion phases Suggested Baseline Configuration: BB Length : 20 BB StdDev : 1.5 ADX Length : 14 ADX Influence : 0.8 Wave Offset : 1.0 Wave Width : 1.0 Neutral Confirmation : 5 bars These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Performance Characteristics High Effectiveness: Markets exhibiting rhythmic volatility expansion and contraction Assets with responsive ADX regime behavior Reduced Effectiveness: Erratic, news-driven price action Illiquid markets with distorted volatility metrics Integration Guidelines Confluence : Combine with BOSWaves structure or trend tools Discipline : Respect wave completion and cooldown logic Risk Framing : Interpret wave depth probabilistically, not predictively Regime Awareness : Always contextualize waves within ADX strength Disclaimer ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
Pine Script® indicator
by BOSWaves
16
VX-Time Quadrant Overlay (Quarterly Cycles) by Ikaru-s-The Time Quadrant Overlay is a purely time-based visualization tool designed to structure market time into repeating quarterly cycles across multiple timeframes. It does not generate trade signals, entries, or bias. Its sole purpose is to provide time context, so price action can be interpreted within a clear cyclical framework. What this indicator does The indicator divides time into four repeating quarters (Q1–Q4) and displays them simultaneously across different time horizons, such as: Weekly Daily (6-hour quarters) 90-minute cycles Micro cycles (within 90-minute structure) Each row represents a different time cycle, allowing traders to see time alignment, transitions, and overlaps at a glance. Quarter Structure Each cycle follows the same repeating sequence: Q1 – Early phase Q2 – Expansion / “True Open” phase Q3 – Continuation Q4 – Late phase / Transition The quarters are visualized using color-coded boxes, making it easy to see: where the market currently is in time when a new quarter begins when multiple cycles align or diverge Quarter Start Marker An optional Quarter Start Marker (vertical dashed line) can be enabled to highlight the start of a selected quarter (default: Q2). This is intended as a time reference, not a signal: useful for planning useful for contextualizing reactions to levels useful for session and cycle awareness How to use it (practical) This tool is best used to: provide time structure to existing analysis plan around upcoming time transitions contextualize reactions to levels or areas understand where price is acting within a cycle It works well alongside: discretionary price action session-based trading futures and index markets any methodology that respects time as a variable Customization The indicator is fully customizable: Enable / disable individual cycles Adjust box transparency and history depth Toggle labels and pane labels Enable / disable quarter start markers Select which quarter to highlight This allows the tool to remain clean on higher timeframes and detailed on lower ones. Important Notes This is a visual framework, not a strategy. No claims of predictive power are made. Time structure does not replace risk management or execution logic. The indicator is designed to adapt across markets, but interpretation remains discretionary. Final Thoughts Time is often treated as secondary to price. This tool exists to make time visible, structured, and easy to work with — nothing more, nothing less.
Pine Script® indicator
by Ikaru-s-
Trend ChannelThis Trend Channel is designed to simplify how traders view trends, while also keeping track of potential shifts in trends with signals. It is designed for traders that prefer less over more. The indicator can be used for trend following, trend reversals and confirmation in combination with price or other indicators. At the core is one EMA and a smoothed volatility based channel around it. The purpose of the channel is to avoid false signals on trend reclaim or trend loss and instead identify trend deviations. The indicator also incorporates long and short EMA cross-over signals to recognize possible shifts in trend without having to overlay multiple EMAs and keep the chart cleaner. Additionally the indicator fires warnings for potential false signals on golden/death crosses with a letter "W" above/below the signal candle. Those warnings are based on the distance between price and the crossover. When the distance is above a certain threshold the indicator fires a warning that price might mean revert. Traders can customize all inputs in the settings.
Pine Script® indicator
by VEGAlgo
Savitzky Flow Bands [ChartPrime]An advanced trend-following tool that applies the Savitzky-Golay smoothing algorithm to price and dynamically adapts trend bands to visualize directional bias and trend strength. savitzky_golay_filter_w_15_vectors(source) => float sum = 0.0 float polynomial = 0.0 float coefficients = array.new(16) // Predefined 15 coefficients for i = -4 to 4 coefficients.set(i + 4, i) // from -4 to 5 if i == 4 for j = 5 to -4 for g = 8 to 15 coefficients.set(g, j) // from 5 to -4 // Calculate normalization factor as the sum of absolute values of coefficients float norm_factor = coefficients.sum() // Loop through coefficients and calculate the weighted sum for i = 0 to coefficients.size()-1 sum := sum + coefficients.get(i) * source // Calculate the smoothed value for i = 1 to length-1 polynomial := math.sum(sum / norm_factor, i) / i polynomial ⯁ KEY FEATURES & HOW TO USE Savitzky-Golay Filtered Line (Basis): Smooths out price noise using the Savitzky-Golay method, offering a more refined trend path than traditional moving averages. This centerline acts as the trend anchor and visually changes color depending on its slope to reflect the active trend direction. Dynamic Trend Bands (Upper/Lower): Constructed from the filtered line with a dynamic offset based on recent price volatility (ATR). These bands shift based on price pressure and are locked once price closes beyond them. Helpful for identifying breakout moments or exhaustion areas where reversals are likely. Trend Direction Detection: A directional signal is confirmed when price breaks and closes above the upper band (uptrend) or below the lower band (downtrend). Provides a clear and systematic way to identify when a trend begins. Trend Duration Counter (Visual Decay Line): A fading overlay line shows how long a trend has been active since the last reversal. The longer the trend persists, the more transparent this extension becomes. This visual fading effect helps traders anticipate potential trend exhaustion and prepare for reversals or take-profit zones. Reversal Signals (Diamond Markers): Diamond shapes are plotted at each market shift, allowing users to visually pinpoint when the trend has flipped. These markers act as decision zones for entry, exit, or stop-loss adjustments based on directional flow changes. Color-Based Bar and Candle Painting: Candles are painted green in uptrends and orange in downtrends, providing an intuitive glance at trend state without needing to interpret numbers. Helps users stay aligned with the trend visually and avoid counter-trend entries. ⯁ CONCLUSION The Savitzky Flow Bands indicator offers a modernized, visually rich way to track trend shifts using a scientific smoothing method. With dynamic trend envelopes, color-coded cues, and visual markers, it equips traders with a structured framework to follow the market's flow and make data-driven decisions. Ideal for swing traders, momentum strategists, or any trader looking to trade in sync with the prevailing trend.
Pine Script® indicator
by ChartPrime
9
Market Performance by Yearly Seasons [LuxAlgo]The Market Performance by Yearly Seasons tool allows traders to analyze the average returns of the four seasons of the year and the raw returns of each separate season. 🔶 USAGE By default, the tool displays the average returns for each season over the last 10 years in the form of bars, with the current session highlighted as a bordered bar. Traders can choose to display the raw returns by year for each season separately and select the maximum number of seasons (years) to display. 🔹 Hemispheres Traders can select the hemisphere in which they prefer to view the data. 🔹 Season Types Traders can select the type of seasons between meteorological (by default) and astronomical. The meteorological seasons are as follows: Autumn: months from September to November Winter: months from December to February Spring: months from March to May Summer: months from June to August The astronomical seasons are as follows: Autumn: from the equinox on September 22 Winter: from the solstice on December 21 Spring: from the equinox on March 20 Summer: from the solstice on June 21 🔹 Displaying the data Traders can choose between two display modes, average returns by season or raw returns by season and year. 🔶 SETTINGS Max seasons: Maximum number of seasons Hemisphere: Select NORTHERN or SOUTHERN hemisphere Season Type: Select the type of season - ASTRONOMICAL or METEOROLOGICAL Display: Select display mode, all four seasons, or any one of them 🔹 Style Bar Size & Autofit: Select the size of the bars and enable/disable the autofit feature Labels Size: Select the label size Colors & Gradient: Select the default color for bullish and bearish returns and enable/disable the gradient feature
Pine Script® indicator
by LuxAlgo
1
Day Pattern IndicatorDay Pattern Indicator The Day Pattern Indicator is designed to help traders analyze daily trends and patterns in their selected markets. This tool highlights specific days of the week on the chart with unique, semi-transparent colored bars. Each day is customizable, allowing users to toggle the visibility of Monday through Sunday to focus on days most relevant to their trading strategy. Ideal for identifying potential patterns in cryptocurrency, forex, or stock markets, the indicator is perfect for traders seeking insights into weekday or weekend market behavior. Simple, effective, and visually intuitive!
Pine Script® indicator
by kemalcox
Dynamic Buy/Sell VisualizationDynamic Trend Visualization Indicator Description: This simple and easy to use indicator has helped me stay in trades longer. This indicator is designed to visually represent potential buy and sell signals based on the crossover of two Simple Moving Averages (SMA). It's crafted to assist traders in identifying trend directions in a straightforward manner, making it an excellent tool for both beginners and experienced traders. Features: Customizable Moving Averages: Users can adjust the period length for both short-term (default: 10) and long-term (default: 50) SMAs to suit their trading strategy. Visual Signals: Dynamic lines appear at the points of SMA crossover, with labels to indicate 'BUY' or 'SELL' opportunities. Color and Style Customization: Customize the appearance of the buy and sell lines for better chart readability. Alert Functionality: Alerts are set up to notify users when a crossover indicating a buy or sell condition occurs. How It Works: A 'BUY' signal is generated when the short-term SMA crosses above the long-term SMA, suggesting an upward trend. A 'SELL' signal is indicated when the short-term SMA crosses below the long-term SMA, pointing to a potential downward trend. Use Cases: Trend Following: Ideal for markets with clear trends. For example, if trading EUR/USD on a daily chart, setting the short SMA to 10 days and the long SMA to 50 days might help in capturing longer-term trends. Scalping: In a volatile market, setting shorter periods (e.g., 5 for short SMA and 20 for long SMA) might catch quicker trend changes, suitable for scalping. Examples of how to use * Short-term for Quick Trades: SMA 5 and SMA 21: Purpose: This combination is tailored for day traders or those looking to engage in scalping. The 5 SMA will react rapidly to price changes, providing early signals for buy or sell opportunities. The 21 SMA, being a Fibonacci number, offers a slightly longer-term view to confirm the short-term trend, helping to filter out minor fluctuations that might lead to false signals. * Middle-term for Swing Trading: SMA 10 and SMA 50: Purpose: Suited for swing traders who aim to capitalize on medium-term trends. The 10 SMA picks up on immediate market movements, while the 50 SMA gives insight into the medium-term direction. This setup helps in identifying when a short-term trend aligns with a longer-term trend, providing a good balance for trades that might last several days to a couple of weeks. * Long-term Trading: SMA 50 and SMA 200: Purpose: Investors focusing on long-term trends would benefit from this pair. The crossover of the 50 SMA over the 200 SMA can indicate the beginning or end of major market trends, ideal for making decisions about long-term holdings that might span months or years. Example Strategy if not using the Buy / Sell Label Alerts: Entry Signal: Enter a long position when the shorter SMA crosses above the longer SMA. For example: SMA 10 crosses above SMA 50 for a medium-term bullish signal. Exit Signal: Consider exiting or initiating a short position when: SMA 10 crosses below SMA 50, suggesting a bearish turn in the medium-term trend. Confirmation: Use these crossovers in conjunction with other indicators like volume or momentum indicators for better confirmation. For instance, if you're using the 5/21 combination, look for volume spikes on crossovers to confirm the move's strength. When Not to Use: Sideways or Range-Bound Markets: The indicator might generate many false signals in a non-trending market, leading to potential losses. High Volatility Without Clear Trends: Rapid price movements without a consistent direction can result in misleading crossovers. As a Standalone Tool: It should not be used in isolation. Combining with other indicators like RSI or MACD for confirmation can enhance trading decisions. Practical Example: Buy Signal: If you're watching Apple Inc. (AAPL) on a weekly chart, a crossover where the 10-week SMA moves above the 50-week SMA could suggest a buying opportunity, especially if confirmed by volume increase or other technical indicators. Sell Signal: Conversely, if the 10-week SMA dips below the 50-week SMA, it might be time to consider selling, particularly if other bearish signals are present. Conclusion: The "Dynamic Trend Visualization" indicator provides a visual aid for trend-following strategies, offering customization and alert features to streamline the trading process. However, it's crucial to use this in conjunction with other analysis methods to mitigate the risks of false signals or market anomalies. Legal Disclaimer: This indicator is for educational purposes only. It does not guarantee profits or provide investment advice. Trading involves risk; please conduct thorough or consult with a financial advisor. The creator is not responsible for any losses incurred. By using this indicator, you agree to these terms.
Pine Script® indicator
by thisgirl
Gaps Trend [ChartPrime]The Gaps Trend - ChartPrime indicator is designed to detect Fair Value Gaps (FVGs) in the market and apply a trailing stop mechanism based on those gaps. It identifies both bullish and bearish gaps and provides traders with a way to manage trades dynamically as gaps appear. The indicator visually highlights gaps and uses the detected momentum to assess trend direction, helping traders identify price imbalances caused by strong buy or sell pressure. ⯁ KEY FEATURES & HOW TO USE ⯌ Fair Value Gap (FVG) Detection : The indicator automatically detects both bullish and bearish FVGs, identifying gaps between candle highs and lows. Bullish gaps are shown in green, and bearish gaps in purple. These gaps indicate price imbalances driven by strong momentum, such as when there is significant buying or selling pressure. Use : Traders can use FVG detection to identify periods of high price momentum, offering insight into potential continuation or exhaustion of trends. ⯌ Trailing Stop Feature Based on FVGs : A core feature of this indicator is the trailing stop mechanism, which adjusts dynamically based on the identified FVGs. When a bullish gap is detected, the trailing stop is placed below the price to capture upward momentum, while bearish gaps result in a trailing stop placed above the price. This feature helps traders stay in trends while protecting profits as the price moves. Use : The trailing stop follows the momentum of the price, ensuring that traders can stay in profitable trades during strong trends and exit when the momentum shifts. bullish set up bearish set up ⯌ Trend Direction Indication : The indicator colors the chart according to the current trend direction based on the position of the price relative to the trailing stop. Green indicates an uptrend (bullish gap), while purple shows a downtrend (bearish gap). This provides traders with a quick visual assessment of trend direction based on the presence of gaps. Use : Traders can monitor the chart's color to stay aligned with the market’s trend, staying long during green phases and short during purple ones. ⯌ Gap Size Filtering : Each detected gap is assigned a numerical ranking based on its size, with larger gaps having higher rankings. The gap size filter allows traders to only display gaps that meet a minimum size threshold, focusing on the most impactful gaps in terms of price movement. Use : Traders can use the filter to focus on gaps of a certain size, filtering out smaller, less significant gaps. The numerical ranking helps identify the largest and most influential gaps for decision-making. ⯌ FVG Level Visualization : The indicator can display dashed lines marking the levels of previously filled FVGs. These levels represent areas where price once experienced a gap and later filled it. Monitoring these levels can provide traders with key reference points for potential reactions in price. Use : Traders can use these gap levels to track where price has filled gaps and potentially use these levels as zones for entry, exit, or assessing market behavior. ⯁ USER INPUTS Filter Gaps : Adjust the size threshold to filter gaps by their size ranking. Show Gap Levels : Toggle the display of dashed lines at filled FVG levels. Enable Trailing Stop : Activate or deactivate the trailing stop feature based on FVGs. Trailing Stop Length : Set the number of bars used to calculate the trailing stop. Bullish/Bearish Colors : Customize the colors representing bullish and bearish gaps. ⯁ CONCLUSION The Gaps Trend indicator combines Fair Value Gap detection with a dynamic trailing stop feature to help traders manage trades during periods of high price momentum. By detecting gaps caused by strong buy or sell pressure and applying adaptive stops, the indicator provides a powerful tool for riding trends and managing risk. The additional ability to filter gaps by size and visualize previously filled gaps enhances its utility for both trend-following and risk management strategies.
Pine Script® indicator
by ChartPrime
11
RSItrendsThis is to my friends and to my sons to use. What Is the Relative Strength Index (RSI)? The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The indicator was developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, New Concepts in Technical Trading Systems. 1 The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
Pine Script® indicator
by johnecarol
Volumatic S/R Levels [BigBeluga]THE VOLUMATIC S/R LEVELS The Volumatic S/R Levels [ BigBeluga ] is an advanced technical analysis tool designed to identify and visualize significant support and resistance levels based on volume and price action. The core concept of this indicator is to highlight areas where large volume and significant price movements coincide. It does this by plotting horizontal lines at price levels where unusually large candles (in terms of price range) occur alongside high trading volume. These lines represent potential support and resistance levels that are likely to be more significant due to the increased market activity they represent. ⬤ Key Features Dynamic S/R Level Identification: Automatically detects and displays support and resistance levels from high volume candles. Volume-Weighted Visualization: Uses line color to see positive or negative volume and box size to represent the strength of each level Positive and Negative Volume: Box Size Based on Volume: Adaptive Levels Color: Adjusts level color based on price above or below level Real-time Level Extension: Extends identified levels to the right side of the chart for better visibility Volume and Percentage Labels: Displays volume information and relative strength percentage for each level Dashed Levels: Displays levels with which price have interact multiple times Dashboard: Shows max and min level information for quick reference ⬤ How to Use Identify Key Levels: Look for horizontal lines representing potential support and resistance areas Assess Level Strength: - Thicker boxes indicate stronger levels, on which price reacts more Monitor Price Interactions: Watch how price reacts when approaching these levels for potential trade setups Volume Confirmation: Use the volume boxes to confirm the significance of each level Relative Strength Analysis: Check the percentage labels to understand each level's importance relative to others Trend Analysis: Use the color of the levels (lime for bullish, orange for bearish) to understand the overall market sentiment at different price points Quick Reference: Utilize the dashboard to see the strongest and weakest levels at a glance ⬤ Customization Levels Strength: Adjust the minimum threshold for level strength identification (default: 2.4) Levels Amount: Set the maximum number of levels to display on the chart (max: 20) The Volumatic S/R Levels indicator provides traders with a sophisticated tool for identifying key price levels backed by significant volume. By visualizing these levels directly on the chart and providing detailed volume and relative strength information, it offers valuable insights into potential areas of support, resistance, and price reversal. The addition of a ranking system and dashboard further enhances the trader's ability to quickly assess the most significant levels. This indicator is particularly useful for traders focusing on volume analysis and those looking to enhance their understanding of market structure. As with all technical tools, it's recommended to use this indicator in conjunction with other forms of analysis for comprehensive trading decisions.
Pine Script® indicator
by BigBeluga
4
CofG Oscillator w/ Added Normalizations/TransformationsThis indicator is a unique study in normalization/transformation techniques, which are applied to the CG (center of gravity) Oscillator, a popular oscillator made by John Ehlers. The idea to transform the data from this oscillator originated from observing the original indicator, which exhibited numerous whips. Curious about the potential outcomes, I began experimenting with various normalization/transformation methods and discovered a plethora of interesting results. The indicator offers 10 different types of normalization/transformation, each with its own set of benefits and drawbacks. My personal favorites are the Quantile Transformation , which converts the dataset into one that is mostly normally distributed, and the Z-Score , which I have found tends to provide better signaling than the original indicator. I've also included the option of showing the mean, median, and mode of the data over the period specified by the transformation period. Using this will allow you to gather additional insights into how these transformations effect the distribution of the data series. I've also included some notes on what each transformation does, how it is useful, where it fails, and what I've found to be the best inputs for it (though I'd encourage you to play around with it yourself). Types of Normalization/Transformation: 1. Z-Score Overview: Standardizes the data by subtracting the mean and dividing by the standard deviation. Benefits: Centers the data around 0 with a standard deviation of 1, reducing the impact of outliers. Disadvantages: Works best on data that is normally distributed Notes: Best used with a mid-longer transformation period. 2. Min-Max Overview: Scales the data to fit within a specified range, typically 0 to 1. Benefits: Simple and fast to compute, preserves the relationships among data points. Disadvantages: Sensitive to outliers, which can skew the normalization. Notes: Best used with mid-longer transformation period. 3. Decimal Scaling Overview: Normalizes data by moving the decimal point of values. Benefits: Simple and straightforward, useful for data with varying scales. Disadvantages: Not commonly used, less intuitive, less advantageous. Notes: Best used with a mid-longer transformation period. 4. Mean Normalization Overview: Subtracts the mean and divides by the range (max - min). Benefits: Centers data around 0, making it easier to compare different datasets. Disadvantages: Can be affected by outliers, which influence the range. Notes: Best used with a mid-longer transformation period. 5. Log Transformation Overview: Applies the logarithm function to compress the data range. Benefits: Reduces skewness, making the data more normally distributed. Disadvantages: Only applicable to positive data, breaks on zero and negative values. Notes: Works with varied transformation period. 6. Max Abs Scaler Overview: Scales each feature by its maximum absolute value. Benefits: Retains sparsity and is robust to large outliers. Disadvantages: Only shifts data to the range , which might not always be desirable. Notes: Best used with a mid-longer transformation period. 7. Robust Scaler Overview: Uses the median and the interquartile range for scaling. Benefits: Robust to outliers, does not shift data as much as other methods. Disadvantages: May not perform well with small datasets. Notes: Best used with a longer transformation period. 8. Feature Scaling to Unit Norm Overview: Scales data such that the norm (magnitude) of each feature is 1. Benefits: Useful for models that rely on the magnitude of feature vectors. Disadvantages: Sensitive to outliers, which can disproportionately affect the norm. Not normally used in this context, though it provides some interesting transformations. Notes: Best used with a shorter transformation period. 9. Logistic Function Overview: Applies the logistic function to squash data into the range . Benefits: Smoothly compresses extreme values, handling skewed distributions well. Disadvantages: May not preserve the relative distances between data points as effectively. Notes: Best used with a shorter transformation period. This feature is actually two layered, we first put it through the mean normalization to ensure that it's generally centered around 0. 10. Quantile Transformation Overview: Maps data to a uniform or normal distribution using quantiles. Benefits: Makes data follow a specified distribution, useful for non-linear scaling. Disadvantages: Can distort relationships between features, computationally expensive. Notes: Best used with a very long transformation period. Conclusion Feel free to explore these normalization/transformation techniques to see how they impact the performance of the CG Oscillator. Each method offers unique insights and benefits, making this study a valuable tool for traders, especially those with a passion for data analysis.
Pine Script® indicator
by TheArchbishop
2
Volume Storm Trend [ChartPrime]The Volume Storm Trend (VST) indicator is a robust tool for traders looking to analyze volume momentum and trend strength in the market. By incorporating key volume-based calculations and dynamic visualizations, VST provides clear insights into market conditions. Components: Calculating the median of the source data. Volume Power Calculation: The indicator calculates the "heat power" and "cold power" by applying an Exponential Moving Average (EMA) to the median of volume data arrays. // ---------------------------------------------------------------------------------------------------------------------} // 𝙄𝙉𝘿𝙄𝘾𝘼𝙏𝙊𝙍 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉𝙎 // ---------------------------------------------------------------------------------------------------------------------{ max_val = 1000 src = close source = ta.median(src, len) heat.push(src > source ? (volume > max_val ? max_val : volume) : 0) heat.remove(0) cold.push(src < source ? (volume > max_val ? max_val : volume) : 0) cold.remove(0) heat_power = ta.ema(heat.median(), 10) cold_power = ta.ema(cold.median(), 10) Visualization: Gradient Colors: The indicator uses gradient colors to visualize bullish volume and bearish volume powers, providing a clear contrast between rising and falling trends. Bars Fill Color: The color fill between high and low prices changes based on whether the heat power is greater than the cold power. Bottom Line: A zero line with changing colors based on the dominance of heat or cold power. Weather Symbols: Visual indicators ("☀" for hot weather and "❄" for cold weather) appear on the chart when the heat and cold powers crossover, helping traders quickly identify trend changes. Inputs: Source: The input data source, typically the closing price. Median Length: The period length for calculating the median of the source. Default is 40. Volume Length: The period length for calculating the average volume. Default is 3. Show Weather: A toggle to display weather symbols on the chart. Default is false. Temperature Type: Allows users to choose between Celsius (°C) and Fahrenheit (°F) for temperature display. Show Weather Function: The `Show Weather?` function enhances the VST indicator by displaying weather symbols ("☀" for hot and "❄" for cold) when there are significant crossovers between heat power and cold power. This feature adds a visual cue for potential market tops and bottoms. When the market heats to a high temperature, it often indicates a potential top, signaling traders to consider exiting long positions or preparing for a reversal. Additional Features: Dynamic Table Display: A table displays the current "temperature" on the chart, indicating market heat based on the calculated heat and cold powers. The Volume Storm Trend indicator is a powerful tool for traders looking to enhance their market analysis with volume and momentum insights, providing a clear and visually appealing representation of key market dynamics.
Pine Script® indicator
by ChartPrime
7
Global Net Liquidity (TG fork)Worldwide net liquidity, with trend coloring. Global Net Liquidity attempts to represent worldwide net liquidity, and is defined as: Fed + Japan + China + UK + ECB - RRP - TGA , Where the first five components are central bank assets. On TradingView, the indicator can be reproduced with the following equations: Global Net Liquidity = FRED:WALCL + FRED:JPNASSETS * FX_IDC:JPYUSD + CNCBBS * FX_IDC:CNYUSD + GBCBBS * FX:GBPUSD + ECBASSETSW * FX:EURUSD + RRPONTSYD + WTREGEN However, this indicator adds a moving average cloud, and margin coloring, which eases historical trend assessment at a glance. This indicator can be seen as an alternative representation of the accumulation/distribution indicator (and hence the same terms can be used in this description). The Moving Average Cloud is simply the filling between the moving average (by default an EMA) and the current value. This feature was inspired by D7R ACC/DIST closed-source indicator, kudos to D7R for making such neat visual indicators. Usage instructions: Blue is more likely a phase of accumulation because the current value is above its historical price as defined by the moving average, red is when this is more likely a phase of distribution. Yellow is when the difference is below the margin, so we consider it is insignificant and that the trend is undecided. This can be disabled by setting the margin to 0. While the color indicates if it's more likely an accumulation (blue) or distribution (red) phase or undecided (yellow), the cloud's vertical size allows to assess the strength of this tendency and the horizontal size the momentum, so that the bigger the cloud, the stronger the accumulation (if cloud is blue) or distribution (if cloud is red). Why is that so? This is because the cloud represents the difference between the current tendency and the moving averaged past one, so a bigger cloud represents a bigger departure from recently observed tendencies. In practice, when there is accumulation, a pump in price can be expected soon, or if it already happened then it means it is indeed supported by volume, whereas if distribution, either a dump is to be expected soon, or if it already happened it means it's supported by volume. Or maybe not necessarily a dump, but if there is a move upward in price, but the indicator indicates a strong distribution, then it means that the price movement is not supported and may not be sustainable (reversal may happen at anytime), whereas if price is going upward AND there is an accumulation (blue coloring) then it is more sustainable. This can be used to adapt strategies accordingly (risk on/risk off depending on whether there is concordance of both price and accumulation/distribution). This indicator also includes sentiment signals that can be used to trigger alarms. This indicator is a remix of Dharmatech's, who authored the first this Global Net Liquidity equation, kudos to them! Please show them some love if you like this indicator!
Pine Script® indicator
by tartigradia
1
Lin Reg (Linear Regression) Support and Resistance by xxMargauxLin Reg (Linear Regression) Support & Resistance by xxMargaux 💸 This indicator plots three linear regression lines (Lin Reg) on the price chart, providing insights into potential support and resistance levels. It calculates Lin Reg lines based on user-defined lengths and sources. This indicator's settings were initially configured for MNQ1! (E-Mini Nasdaq 100 futures contracts). But works as intended on any security and on any timeframe. When price is below a given Lin Reg line, that line will be red and may serve as resistance as price moves up towards the line. That is, it may be a potential short entry opportunity. When price is above a given Lin Reg line, that line will be green and may serve as support as price continues up from the line. That is, it may be a potential long entry opportunity. When price starts to break sideways or down through the Lin Reg lines, this may signal a reversal from uptrend to downtrend. When price starts to break sideways or up through the Lin Reg Lines, this may signal a reversal from downtrend to uptrend. In very strong trends, breaking through the lines briefly may provide an entry opportunity, but be cautious because a trend reversal may also be possible. Inputs: Length of Price Lin Reg Lines: Customize the lengths of the three Lin Reg lines. Source for Price Lin Reg Lines: Choose the source for each Lin Reg line. Source for Security Price: Select the price source for the security. Features: Trend Analysis: Assists in visualizing price trends based on the relationship between the security price and Lin Reg lines, which will be colored according to whether price is above or below each Lin Reg line. Customizable Colors: When price is above a Lin Reg line that line will be green. When price is below a Lin Reg line, that line will be red. Here's a beginner-friendly explanation of linear regression lines 💡 Best-Fit Line: Imagine you have a scatter plot of closing prices on a chart. Linear regression aims to find the straight line that best fits the overall trend of these data points. It's like drawing a line through the center of the data that minimizes the distance between the line and each data point. Trend Identification: Once the linear regression line is plotted on a price chart, it provides a visual representation of the trend. If the price is generally rising, the linear regression line will slope upwards. If the price is falling, the line will slope downwards. This helps traders identify whether the trend is bullish (upward) or bearish (downward). Support and Resistance: Linear regression lines can also act as dynamic support and resistance levels. When the price is above the linear regression line, it may act as support, meaning the price tends to bounce off the line and continue higher. Conversely, when the price is below the line, it may act as resistance, with the price encountering selling pressure and potentially reversing lower. Reversal Signals: Changes in the slope or direction of the linear regression line can signal potential trend reversals. For example, if the price breaks above a downward-sloping linear regression line, it may indicate a shift from a downtrend to an uptrend, and vice versa. Adjustable Parameters: Traders can customize the length of the linear regression line by adjusting the period over which it's calculated. Shorter periods may be more sensitive to recent price changes, while longer periods may provide a smoother trend line.
Pine Script® indicator
by xxMargaux
6