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Educational

Delta Strength (True TV Delta)Description Delta Strength measures the intensity of aggressive trading activity using TradingView’s native Volume Delta engine (ta.requestVolumeDelta). Volume Delta shows which side is aggressive (buyers or sellers). Delta Strength answers a different question: How strong is that aggression compared to recent market behavior? This indicator converts true per-bar volume delta into a relative strength ratio, helping identify institutional participation, initiative moves, absorption, and potential traps at key price locations. No candle-based approximation is used. The calculation relies on TradingView’s internal bid-ask volume classification from lower timeframes. How It Is Calculated • Per-bar delta is derived from the difference between cumulative delta at bar close and bar open • Absolute delta is averaged over a user-defined lookback period • Current delta is compared against this average to produce a normalized strength value This makes the indicator adaptive across instruments, volatility regimes, and sessions. How to Read Delta Strength • Values below the lower threshold indicate normal or low-quality activity • Rising values show increasing professional participation • Very high values indicate strong imbalance or aggressive initiative orders • Extreme values without price follow-through often signal absorption or trapping Delta Strength measures intensity only, not direction. How to Use (Important) Always combine Delta Strength with price location and structure. Best locations include: • VWAP and VWAP bands • Previous Day High / Low • Session highs and lows • Range boundaries or value edges Interpretation logic: • Strong delta with price acceptance supports continuation • Strong delta with price rejection suggests absorption or exhaustion What This Indicator Is NOT • Not a directional signal • Not a standalone entry tool • Not a trend indicator Using Delta Strength without context can lead to false conclusions. Intended Use This indicator is designed for: • Order Flow Analysis • Market microstructure study • Institutional activity confirmation • Advanced discretionary trading workflows It works best when combined with Volume Delta, VWAP, and structure-based analysis. Summary Delta shows who is aggressive. Delta Strength shows how aggressive they are. Price reaction shows whether that aggression is accepted or absorbed. Used together, they provide insight into market intent rather than just price movement.
Pine Script®指标
由MathThomas提供
MSP Multi-Time Frame Dashboard A precision market-context overlay for traders who need fast multi-timeframe clarity. This dashboard displays trend, momentum, bias and RSI across four user-selectable timeframes — giving you a full market read at a glance, without flipping charts or manually analysing each timeframe. Key Features 4-TF visual dashboard (fully user-configurable) Trend bias via EMA structure (21/55 default) Momentum bias via RSI thresholds (Bull >60 / Bear <40) Per-TF bias score (–2 to +2) Combined Total Bias score (–8 to +8) with emoji + word label Bias strength bar meter for instant context Background-color market sentiment shading Built-in alignment alert conditions (Bull/Bear total-bias triggers) How the engine reads the market Each timeframe is processed individually: Metric Method Output Trend Fast vs Slow EMA 🟢 / 🔴 / 🟡 Momentum RSI regime 📈 / 📉 / ➖ Bias Trend + Momentum −2 → +2 per TF Total Bias Sum of all TF scores Market direction & strength Bullish Alignment = multiple TFs trending + RSI holding strength Bearish Alignment = EMAs stacked down + weak RSI environment Mixed/Chop = conflict between momentum + structure This keeps you away from low-quality reversals and favours trades in the direction of flow. 🏁 Best used for ✔ Scalpers confirming higher-TF direction ✔ Daytraders timing entries with momentum shifts ✔ Swing traders filtering chop vs trend continuation ✔ System traders needing rule-based directional context ❗ Not a standalone entry system — context tool only 🔔 Alerts Included Bullish Alignment Trigger → TotalBias ≥ threshold Bearish Alignment Trigger → TotalBias ≤ threshold Set once — get notified when the market syncs into opportunity.
Pine Script®指标
由Marketscannerpros提供
Jim Kombein PhD Mode mHFT Structure Invite OnlyThis is an original, invite-only market micro-structure and state visualization script developed for private research and educational purposes. The script is designed to help experienced users observe short-term price structure, volatility-adjusted turning behavior, and local market state transitions on ETH-based charts. It does not replicate or repackage any built-in TradingView indicators and is based on proprietary logic developed independently. Due to its experimental and research-oriented nature, access to this script is intentionally restricted to a limited group of invited users only, in order to prevent misuse or misinterpretation. This script does not provide financial advice, automated trading, trade execution, or guaranteed performance. All visual outputs are provided for informational and educational reference purposes only. Final trading decisions remain entirely the responsibility of the user.
Pine Script®指标
由etfx_lfa提供
SPX Volatility EngineWhy This Framework Exists Intraday markets generate an abundance of information, but not clarity. Volatility, structure, momentum, and internal conditions often provide conflicting signals in real time, leaving traders uncertain not about what they see, but about what matters now. Most tools excel at measuring individual aspects of the market. Very few help resolve which information should be prioritized, suppressed, or deferred when conditions are misaligned. The SVE Volatility Engine was built to address this specific problem: to provide structured, real-time decision context so traders can understand when the market environment supports participation and when restraint is warranted. ________________________________________ How the SVE Volatility Engine Works (Conceptual) SVE is a decision-support framework, not a signal generator. Rather than presenting independent indicators side-by-side, the framework evaluates volatility state, structure, and directional behavior through a contextual hierarchy, emphasizing alignment over activity. Its purpose is to resolve ambiguity created when these dimensions disagree. At a conceptual level, the framework: • Interprets volatility regime and compression state to frame market pacing • Evaluates directional behavior within structural context, not in isolation • Classifies conditions based on environmental alignment, not indicator triggers • Suppresses low-quality participation when contextual conflicts exist The value of the framework lies in how market information is framed and filtered, not in any single calculation. This integration logic is the reason the script is maintained as closed source. SVE does not attempt to predict outcomes. It clarifies what type of market is currently present, allowing traders to adapt expectations and behavior accordingly. ________________________________________ What Appears on the Chart When applied, the SVE Volatility Engine presents a unified on-chart framework that includes: • A Heads-Up Display (HUD) summarizing directional bias, volatility environment, and contextual classification • Contextual CALL / PUT markers that are classified, not blindly generated • Structural reference zones used to frame directional interaction • Real-time regime and alignment cues designed to support disciplined interpretation A public companion indicator, SVE Compression Mirror (Companion), is available to display the same compression state and histogram context referenced by this framework in a dedicated lower pane. Together, these elements provide clarity without clutter, emphasizing decision context rather than frequency. ________________________________________ Intended Use The SVE Volatility Engine is designed for: • Intraday traders who value context before conviction • Discretionary traders seeking a rules-based framework to support judgment • Professionals and advanced retail traders who prioritize clarity over signal volume The framework is intended to support interpretation and decision discipline. It does not provide trade entries, targets, or investment advice. ________________________________________ Access This script is available by Invite-Only. ________________________________________ Disclaimer This indicator is provided for informational and analytical purposes only and does not constitute investment advice.
Pine Script®指标
由The_Volatility_Engine提供
Implicit Dolar MEPWhich stock or CEDEAR offers the best implied MEP dollar rate? This indicator displays labels positioned at the level of the implied MEP dollar rate for the 10 equity instruments (stocks, CEDEARs and ETFs) with the highest trading volume in MEP dollars over the last month on the BYMA market. The implied rate for each asset is calculated as the ratio between its price in ARS and its price in MEP dollars, for example: GGAL / GGALD. As a reference (benchmark), a white line is plotted representing the implied MEP dollar rate of the AL30 bond, calculated as AL30 / AL30D, which is the most liquid government bond in the BYMA market. Settings • The user may enter the ticker of any bi-currency instrument (fixed income or equity) to add its label to the chart. Key information An information box highlights: • The asset with the most expensive implied dollar (Best SELL). • The asset with the cheapest implied dollar (Best BUY). Not an investment recommendation. This information is provided for informational purposes only and does not constitute an offer, solicitation, or investment advice. Investment decisions are the sole responsibility of the investor.
Pine Script®指标
由EcoValores提供
Goldbach Continuum | PO3 Market FrameworkGoldbach Continuum is an indicator recreation and reinterpretation based on the original Goldbach Trifecta methodology and teachings developed by Hopiplaka. The indicator applies Power of Three (PO3) dealing ranges to visualize institutional price cycles using Goldbach-based mathematical levels. Price is organized into Liquidity, Flow, and Rebalance layers, highlighting where liquidity is engineered, directional bias is established, and price temporarily pauses or redistributes risk. This implementation was built to preserve the core structural logic of the original model while presenting it in a clear, modular, and execution-focused format. Each layer can be displayed independently, and an optional mini-map provides higher-timeframe context for multi-timeframe analysis. This project is created with respect to the original framework and is intended as an educational and analytical recreation, not a replacement for the official Goldbach Trifecta indicator. Credits & Acknowledgments Original methodology and teachings: Hopiplaka Framework & code implementation: Noctis Official reference: hopiplaka.gumroad.com
Pine Script®指标
由evilquantum提供
Goldbach TrifectaGoldbach Trifecta applies Power of Three (PO3) dealing ranges to map institutional price cycles using mathematically derived Goldbach-based levels. Price is structured into three purpose-driven layers — Liquidity, Flow, and Rebalance — helping traders visualize where liquidity is engineered, bias is defined, and price pauses or redistributes risk with precision. Each layer can be displayed independently, and an optional mini-map provides higher-timeframe structural context at a glance. This model builds on the foundational teachings of Hopiplaka, whose original Goldbach framework revolutionized how traders interpret engineered price cycles — thank you for the core insights and methodology. The underlying code structure and implementation were developed by Noctis, bringing this advanced framework to life in an easy-to-use indicator. Credits: Hopiplaka (original founder & methodology), Noctis (framework development) Reference: hopiplaka.gumroad.com
Pine Script®指标
由evilquantum提供
2
TuxAlgo Plus SMC u. Trap Toolkit Rel.V0.98r by McTogaTuxAlgo Plus – Smart Money Concepts + Smart Money Traps + Fair Value Gaps Version: V0.98r (Alpha/Pre-Release) with integrated 2% risk calculator The “TuxAlgo Plus” indicator is a powerful, standalone, conceptual open-source project and self-sufficient “smart money toolkit” with automatic trap detection (SMT), liquidity grabs, FVG confluence, and complete bot setup signals for TradingView charts in the “H1 to H6” time frame and the daily chart. The script is used to improve SMC/trap analysis, i.e., the structure and visualization logic for TradingView charts has been expanded in the “TuxAlgo++” project in line with Smart Money Concepts (SMC) and Smart Money Traps (SMT). The “TuxAlgo” Pine script is a standalone implementation of smart money concepts (structure, BOS/CHOCH, simple order blocks, fair value gaps) written from scratch. Terms such as “BOS,” “CHOCH,” “order block,” and “fair value gap” are commonly used concepts in market technology. This means that the market structure is often visible on the ‘H4’ time frame and the trigger on the “H1” time frame.
Pine Script®指标
由McToGa提供
SignalViper ReconYour pre-flight checklist before any trade. Recon, our patent pending technology, synthesizes data from all other indicators into a single, easy-to-read table with plain English market descriptions instead of raw numbers. ▸ Narrative descriptions (e.g., 'Strong bullish momentum building') ▸ Multi-factor summary from all suite indicators ▸ Momentum, trend, volume, S/R proximity in one view ▸ Active warning display (divergence, termination pressure) ▸ Color-coded status for quick visual scanning
Pine Script®指标
由signalviper提供
SignalViper StrikeThe primary trend-following overlay indicator. Strike displays a dynamic cloud showing trend direction, generates BUY/SELL signals when momentum confirms, and provides visual momentum confirmation dots. ▸ Dynamic trend cloud (cyan bullish, magenta bearish) ▸ Entry signals on momentum-confirmed trend changes ▸ Diamond-shaped momentum confirmation dots ▸ Volatility bands show market expansion/contraction ▸ Optional on-chart SL/TP reference levels
Pine Script®指标
由signalviper提供
SignalViper RushThe heart of the SignalViper suite. Rush displays momentum using a 7-level heat gradient color system and includes chop detection dots to identify when the market is trending versus sideways. ▸ 7-level heat gradient visualization (deep magenta to electric cyan) ▸ Chop detection dots (gold=CHOP, cyan=CLEAR) ▸ Real-time info panel with direction, strength %, and state ▸ Proprietary momentum calculation engine ▸ Custom alerts for momentum crosses and state changes
Pine Script®指标
由signalviper提供
SignalViper VenomSee who's really in control—buyers or sellers. Venom measures volume pressure using proprietary flow analysis, showing an oscillator with gradient fill and divergence detection to warn of potential reversals. ▸ Pressure oscillator (cyan buying, magenta selling) ▸ Control states: BUYERS/SELLERS/CONTESTED ▸ Divergence detection with visual markers ▸ Pressure signal line for confirmation ▸ Real-time info table with flow direction
Pine Script®指标
由signalviper提供
SignalViper FangsSee where smart money is likely to react. Fangs automatically identifies high-probability support and resistance levels, displaying them as horizontal zones (cyan for support, magenta for resistance). ▸ Automatic detection of key reaction zones ▸ Institutional-level price structure analysis ▸ Dynamic level management (auto-removed when broken) ▸ Sensitivity presets controlling max levels and spacing ▸ Levels flip from S to R as price moves through
Pine Script®指标
由signalviper提供
RS High Beta Exposure | QuantLapseRS High Beta Exposure | QuantLapse Conceptual Foundation and Innovation The RS High Beta Exposure indicator from QuantLapse is a comprehensive multi-asset allocation and momentum-ranking system that integrates beta and trend analysis, pairwise relative strength comparison, and volatility-adjusted filtering. Its objective is to identify dominant crypto assets while dynamically reallocating High Beta exposure based on a calculated relative strength. The objective is to integrate trend analysis along with volatility filtering to these pairs to determine its relative strength. At its core, RS High Beta Exposure indicator measures the systematic (β) performance of each asset relative to other assets provided combining these measures with inter-asset ratio trends to determine which assets exhibit superior strength and momentum relative to the other assets. This integration of relative strength comparison, and trend and filtering analysis represents a quantitative evolution of traditional relative strength analysis, designed for adaptive asset rotation across major cryptocurrencies. Technical Composition and Calculation The indicator is structured around three major analytical layers: 1. Beta and Alpha Analysis -Each asset’s return is decomposed into systematic components relative to the other assets by using a trend based, volatility filtering model. -Assets with the highest point on a relative strength basis above the median are considered outperformers and eligible for allocation. 2. Pairwise Ratio Momentum -Every asset is compared against all others through a ratio-trend, where momentum based trend scores quantify the directional momentum between each pair. -In addition, we filter any false signals with volatility adjusted trends in which ensure high quality signals. 3. High Confidence Ranking -Using the Pairwise Momentum signals, the RS High Beta Exposure scores them. If the asset comparison is given a signal, the RS High Beta Exposure scores points for each asset. -If the total points of an asset is 5, its given the rank the dominant asset and is most likely to outperform. By combining these layers, RS High Beta Exposure determines not only which assets is the strongest but also which assets to be invested. User Inputs and Feature Adaptability The indicator includes set of customizable parameters to support portfolio and risk management preferences: Start Date Filter – Defines the beginning of live strategy evaluation. Display Options – Able to change the location of the RS Table, Background and equity color. Asset Selection – Modify or replace up to six crypto assets in the ranking matrix asset1 = input.symbol("CRYPTO:XRPUSD", title ="Asset 1") asset2 = input.symbol("CRYPTO:BNBUSD", title ="Asset 2") asset3 = input.symbol("CRYPTO:ADAUSD", title ="Asset 3") asset4 = input.symbol("CRYPTO:DOGEUSD", title ="Asset 4") asset5 = input.symbol("CRYPTO:XLMUSD", title ="Asset 5") asset6 = input.symbol("CRYPTO:LINKUSD", title ="Asset 6") Each module operates cohesively to maintain analytical transparency while allowing user-level control over system sensitivity and behavior. Real World, Practical Applications The RS High Beta Exposure indicator is designed for systematic traders and quantitative portfolio managers who seek a disciplined framework for dynamic crypto asset rotation. Key applications include: High-Beta Asset Identification: Systematically identify crypto assets exhibiting relative dominance and stronger momentum characteristics versus peers within the comparison set. Rule-Based Portfolio Rotation: Reallocate exposure toward leading assets using objective pairwise signals, reducing emotional decision-making and FOMO-driven trades. Trend-Aligned Risk Participation: Employ the pairwise relative strength model to maintain exposure only during favorable momentum conditions, helping avoid prolonged participation in weak or deteriorating trends. By combining relative strength comparisons with trend-aware filtering, this framework bridges quantitative finance and market regime analysis, providing a structured, data-driven approach to crypto asset allocation. Advantages and Strategic Value RS High Beta Exposure goes beyond conventional relative strength tools by integrating multi-asset comparison, ratio-based dominance scoring, and volatility-aware regime filtering into a single coherent framework. By employing a three-layer confluence model — combining trend integrity, relative performance attribution, and volatility-state confirmation — the system improves the reliability of rotation and trend-following decisions. The model is particularly valuable for traders seeking to: Mitigate drawdowns while participating in higher-beta assets through regime-aware exposure control. Identify persistent outperformers early in emerging market trends. Maintain capital exposure only when statistical and momentum conditions signal elevated confidence. The inclusion of visual allocation tables and a dynamic alert system makes RS High Beta Exposure both transparent and actionable, supporting discretionary analysis as well as systematic or automated trading workflows. Alerts and Visualization The script delivers clear, intuitive visual cues and alert-based feedback to support real-time decision-making: Color-coded background states visually indicate the current allocation regime. Allocation labels and summary tables display the dominant asset and its relative strength in real time. An integrated alert system automatically notifies users whenever allocation states change (e.g., “100% XRP” or “100% CASH”). Together, these visualization and alert features make RS High Beta Exposure both analytically rigorous and easy to interpret, even in fast-moving live market conditions. Summary and Usage Tips RS High Beta Exposure is an advanced interpretation of relative strength analysis, blending pairwise momentum comparisons, multi-asset dominance scoring, and adaptive volatility filters into a disciplined framework for crypto asset rotation. By combining cross-asset selection with systematic allocation logic, the indicator helps traders determine when to be exposed, which asset demonstrates leadership, and when to step aside during unfavorable conditions. The model is best applied on the 1D timeframe, where its structure is optimized for identifying sustained leadership rather than short-term price noise. For broader context and confirmation, it can be used alongside other QuantLapse systematic models at the portfolio level. Note: Past performance does not guarantee future results. This indicator is intended for research and educational use within TradingView.
Pine Script®指标
由QuantLapse提供
SS Critical Advanced Swing Trading Decision Matrix 📊 How to Use the SS Critical Advanced Swing Trading Decision Matrix Indicator Installation & Setup Adding to TradingView Open TradingView and Click "Add to Chart" The indicator will load with the dashboard on your selected position Recommended Timeframes Daily charts: Primary timeframe for swing trading signals 4-hour charts: For fine-tuning entry/exit points Weekly charts: For confirming long-term trends Interpreting the Decision Matrix Scores Final Score Ranges Component Breakdown Trend (25%): MA alignment + SuperTrend direction + ADX strength Momentum (30%): RSI + MACD + Stochastic + ROC + MFI Volume (20%): Volume surge + MFI confirmation Volatility (15%): Bollinger Bands position + ATR Oscillators (10%): CCI + Williams %R + ADX Trading Signals BUY Signal Triggers when Final Score crosses above 65 Confirms bullish momentum building Enter within 1-2 bars of signal for best results SELL Signal Triggers when Final Score drops below 35 Indicates bearish pressure intensifying Exit or consider shorting opportunities Signal Quality Validation Check Previous Close score for trend confirmation Higher previous score = stronger continuation Diverging scores = potential reversal or consolidation Customisation for Your Strategy Adjusting Signal Weights Trending Markets: Increase Trend Weight to 30-35% Volatile Markets: Increase Volatility Weight to 20-25% Low Volume Stocks: Decrease Volume Weight to 10-15% High Volume Stocks: Increase Volume Weight to 25-30% Parameter Optimization Fast MA (9): For aggressive entries, reduce to 5-7 Slow MA (50/200): For longer holds, keep standard RSI Length (14): Increase to 21 for smoother signals Profit Target: Set based on stock volatility (6-7% default) Best Practices Entry Strategy Wait for score ≥ 65 (STRONG or EXCELLENT) Confirm trend on higher timeframe (weekly) Check volume is above average Enter on price pullback or breakout Exit Strategy Target: Achieve 6-7% profit within timeframe Stop-loss: When score drops below 50 (MODERATE) Trailing stop: Move to breakeven at 3% profit Risk Management Never risk more than 2% of capital per trade Use position sizing based on signal quality: EXCELLENT: 100% of planned position STRONG: 75% of planned position MODERATE: 25% or skip Avoiding False Signals Use multiple timeframe confirmation (daily + weekly) Avoid trading during low volume periods Check fundamentals for stocks with EXCELLENT scores Don't overtrade - wait for quality setups Dashboard Interpretation Current Bar Section Shows real-time analysis of ongoing candle Component scores color-coded (Green/Yellow/Red) Weighted column shows actual contribution to final score Previous Close Section Displays confirmed signal from last closed bar Use for backtesting and strategy validation Compare with current to spot trend changes Alerts Setup Create alerts for Buy/Sell signals Set notifications for EXCELLENT quality signals Combine with price alerts for automated monitoring Practical Example EXCELLENT Signal (Score 85) All 5 components show green (>60 points) Strong uptrend with high volume Action: Enter full position, target 6-7% in 5 -15 days WEAK Signal (Score 40) Mixed indicators, declining momentum Action: Avoid new entries, monitor existing positions Pro Tip: Backtest this indicator on your favorite stocks using historical data before live trading. Adjust weights and parameters based on which components work best for your specific market/timeframe. © Dr Shantanu Samanta - This indicator combines proven swing trading indicators into a single decision matrix for clearer trade execution. For Educational purposes only
Pine Script®指标
由drshantanusamanta提供
1