[ClearEdege] Momentum Suites V3 Advanced contrarian momentum analysis with intelligent pivot point integration for precision market timing. Developed for ClearEdge members
*This indicator is not publicly available.
Key Features
Smart Signal System
- Buy Low/Sell High Logic: Identifies oversold conditions for long entries and overbought conditions for short entries
- Multi-Timeframe Confirmation: Incorporates higher timeframe bias for enhanced signal reliability
- Momentum Convergence: Combines RSI, StochRSI, and Bollinger Bands for comprehensive market analysis
Dynamic Pivot Integration
- Classic Pivot Points: Auto-calculated daily/weekly/monthly support and resistance levels
- Pivot Confluence Detection: Signals gain strength when price approaches key pivot levels
- Smart Warning System: Single-alert approach prevents label spam while highlighting critical S/R interactions
Table Dashboard
- Compact Signal Table: Real-time buy/sell signal strength with scoring system
- Market Context: Momentum status, nearest pivot level, volume and trend analysis
- Clean Visual Design: Minimal interface focused on actionable information
Intelligent Alerts
- Approach Warnings: Alerts when price nears resistance with overbought momentum or support with oversold momentum
- Confluence Signals: High-probability setups combining momentum extremes with pivot level proximity
- Single-Shot Logic: Prevents alert fatigue with smart reset mechanisms
Best Use Cases
- Swing Trading: Ideal for identifying major reversal points at key levels
- Risk Management: Clear warning system for potential turning points
- Multi-Asset Analysis: Works across forex, crypto, stocks, and commodities
- All Timeframes: Scalable from 5-minute charts to daily analysis
Designed for traders who value precision over noise - combining classical pivot analysis with modern momentum indicators for superior market timing.
Pesquisar nos scripts por "swing trading"
RSI ADX Bollinger Analysis High-level purpose and design philosophy
This indicator — RSI-ADX-Bollinger Analysis — is a compact, educational market-analysis toolkit that blends momentum (RSI), trend strength (ADX), volatility structure (Bollinger Bands) and simple volumetrics to provide traders a snapshot of market condition and trade idea quality. The design philosophy is explicit and layered: use each component to answer a different question about price action (momentum, conviction, volatility, participation), then combine answers to form a more robust, explainable signal. The mashup is intended for analysis and learning, not automatic execution: it surfaces the why behind signals so traders can test, learn and apply rules with risk management.
________________________________________
What each indicator contributes (component-by-component)
RSI (Relative Strength Index) — role and behavior: RSI measures short-term momentum by comparing recent gains to recent losses. A high RSI (near or above the overbought threshold) indicates strong recent buying pressure and potential exhaustion if price is extended. A low RSI (near or below the oversold threshold) indicates strong recent selling pressure and potential exhaustion or a value area for mean-reversion. In this dashboard RSI is used as the primary momentum trigger: it helps identify whether price is locally over-extended on the buy or sell side.
ADX (Average Directional Index) — role and behavior: ADX measures trend strength independently of direction. When ADX rises above a chosen threshold (e.g., 25), it signals that the market is trending with conviction; ADX below the threshold suggests range or weak trend. Because patterns and momentum signals perform differently in trending vs. ranging markets, ADX is used here as a filter: only when ADX indicates sufficient directional strength does the system treat RSI+BB breakouts as meaningful trade candidates.
Bollinger Bands — role and behavior: Bollinger Bands (20-period basis ± N standard deviations) show volatility envelope and relative price position vs. a volatility-adjusted mean. Price outside the upper band suggests pronounced extension relative to recent volatility; price outside the lower band suggests extended weakness. A band expansion (increasing width) signals volatility breakout potential; contraction signals range-bound conditions and potential squeeze. In this dashboard, Bollinger Bands provide the volatility/structural context: RSI extremes plus price beyond the band imply a stronger, volatility-backed move.
Volume split & basic MA trend — role and behavior: Buy-like and sell-like volume (simple heuristic using close>open or closeopen) or sell-like (close1.2 for validation and compare win rate and expectancy.
4. TF alignment: Accept signals only when higher timeframe (e.g., 4h) trend agrees — compare results.
5. Parameter sensitivity: Vary RSI threshold (70/30 vs 80/20), Bollinger stddev (2 vs 2.5), and ADX threshold (25 vs 30) and measure stability of results.
These exercises teach both statistical thinking and the specific failure modes of the mashup.
________________________________________
Limitations, failure modes and caveats (explicit & teachable)
• ADX and Bollinger measures lag during fast-moving news events — signals can be late or wrong during earnings, macro shocks, or illiquid sessions.
• Volume classification by open/close is a heuristic; it does not equal TAPEDATA, footprint or signed volume. Use it as supportive evidence, not definitive proof.
• RSI can remain overbought or oversold for extended stretches in persistent trends — relying solely on RSI extremes without ADX or BB context invites large drawdowns.
• Small-cap or low-liquidity instruments yield noisy band behavior and unreliable volume ratios.
Being explicit about these limitations is a strong point in a TradingView description — it demonstrates transparency and educational intent.
________________________________________
Originality & mashup justification (text you can paste)
This script intentionally combines classical momentum (RSI), volatility envelope (Bollinger Bands) and trend-strength (ADX) because each indicator answers a different and complementary question: RSI answers is price locally extreme?, Bollinger answers is price outside normal volatility?, and ADX answers is the market moving with conviction?. Volume participation then acts as a practical check for real market involvement. This combination is not a simple “indicator mashup”; it is a designed ensemble where each element reduces the others’ failure modes and together produce a teachable, testable signal framework. The script’s purpose is educational and analytical — to show traders how to interpret the interplay of momentum, volatility, and trend strength.
________________________________________
TradingView publication guidance & compliance checklist
To satisfy TradingView rules about mashups and descriptions, include the following items in your script description (without exposing source code):
1. Purpose statement: One or two lines describing the script’s objective (educational multi-indicator market overview and idea filter).
2. Component list: Name the major modules (RSI, Bollinger Bands, ADX, volume heuristic, SMA trend checks, signal tracking) and one-sentence reason for each.
3. How they interact: A succinct non-code explanation: “RSI finds momentum extremes; Bollinger confirms volatility expansion; ADX confirms trend strength; all three must align for a BUY/SELL.”
4. Inputs: List adjustable inputs (RSI length and thresholds, BB length & stddev, ADX threshold & smoothing, volume MA, table position/size).
5. Usage instructions: Short workflow (check TF alignment → confirm participation → define stop & R:R → backtest).
6. Limitations & assumptions: Explicitly state volume is approximated, ADX has lag, and avoid promising guaranteed profits.
7. Non-promotional language: No external contact info, ads, claims of exclusivity or guaranteed outcomes.
8. Trademark clause: If you used trademark symbols, remove or provide registration proof.
9. Risk disclaimer: Add the copy-ready disclaimer below.
This matches TradingView’s request for meaningful descriptions that explain originality and inter-component reasoning.
________________________________________
Copy-ready short publication description (paste into TradingView)
Advanced RSI-ADX-Bollinger Market Overview — educational multi-indicator dashboard. This script combines RSI (momentum extremes), Bollinger Bands (volatility envelope and band expansion), ADX (trend strength), simple SMA trend bias and a basic buy/sell volume heuristic to surface high-quality idea candidates. Signals require alignment of momentum, volatility expansion and rising ADX; volume participation is displayed to support signal confidence. Inputs are configurable (RSI length/levels, BB length/stddev, ADX length/threshold, volume MA, display options). This tool is intended for analysis and learning — not for automated execution. Users should back test and apply robust risk management. Limitations: volume classification here is a heuristic (close>open), ADX and BB measures lag in fast news events, and results vary by instrument liquidity.
________________________________________
Copy-ready risk & misuse disclaimer (paste into description or help file)
This script is provided for educational and analytical purposes only and does not constitute financial or investment advice. It does not guarantee profits. Indicators are heuristics and may give false or late signals; always back test and paper-trade before using real capital. The author is not responsible for trading losses resulting from the use or misuse of this indicator. Use proper position sizing and risk controls.
________________________________________
Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Trade Holding Time Background HighlighterTrade Holding Time Background Highlighter
This script visually highlights the chart background based on how old each bar is relative to the current time. It’s designed for crypto futures traders (and other active traders) who want to quickly see whether price action falls inside a day trading window, a swing trading window, or is considered older history.
⸻
🔑 Features
• Dynamic Background Highlighting
• Day Trader Zone (default = last 24 hours, light green).
• Swing Trader Zone (default = last 2 weeks, light yellow).
• Older Zone (beyond 2 weeks, light gray).
• Customizable Colors
• Choose your own background colors for each zone.
• Adjust opacity to make shading subtle or bold.
• Adjustable Timeframes
• Change day trading hours (default: 24 hours).
• Change swing trading window (default: 14 days).
• Simple, Intuitive Design
• Instantly see whether the current market structure is suitable for scalps/day trades, swing trades, or simply part of older price action.
⸻
🎯 Why Use This?
As a futures/perpetual trader, knowing the context of price action is crucial:
• Scalpers/Day Traders focus on the most recent 24h.
• Swing Traders look back 1–2 weeks.
• Anything older often has less weight for short-term setups.
This script highlights those zones automatically, saving you time and giving clarity on whether you’re trading inside a fresh opportunity window or old, less relevant price action.
YBL – MASTER PACK (REV + SQZ + SR + CLOUD + ABS)📊 Breakdown of the MASTER PACK
REV (Reversals Detector)
Spots potential turning points using volume imbalance, exhaustion, and delta shifts.
Shows reversal signals (arrows/labels) when the probability of trend change is high.
SQZ (Squeeze Momentum)
Combines Bollinger Bands and Keltner Channels to identify volatility squeezes.
Histogram + colored momentum bars show if energy is building up (ready for breakout) or fading.
SR (Support & Resistance Levels)
Auto-plots HTF levels (15m / 1h / 4h configurable).
Deduplicates and merges close levels to keep the chart clean.
Gives a map of where price is most likely to react.
CLOUD (Trend Cloud)
EMA/VWAP hybrid cloud that changes color with bias (green = bullish, red = bearish).
Shows momentum zones and filters fake moves.
Optional signals on EMA/VWAP crosses (A+ / V– markers).
ABS (Absorptions + Traps)
Detects aggressive ask/bid absorption with big volume spikes and no follow-through.
Marks institutional traps (fake breakouts) with confirmation windows.
Draws small boxes/labels so you know where institutions defended levels.
🎯 What this pack gives you
A full trading dashboard: structure (SR), volatility (SQZ), momentum/trend (CLOUD), absorption/traps (ABS), and reversal timing (REV).
Optimized for intraday scalping and swing trading.
Designed compactly: all modules in one script, no need to load 5 indicators separately.
With ON/OFF toggles so you can keep only what you need.
👉 Think of it as the “YBL Premium Toolkit”:
SR tells you where price matters.
SQZ tells you when volatility is about to expand.
CLOUD tells you what the current bias is.
ABS tells you where institutions defend.
REV tells you when it’s time to flip direction.
Tzotchev Trend Measure [EdgeTools]Are you still measuring trend strength with moving averages? Here is a better variant at scientific level:
Tzotchev Trend Measure: A Statistical Approach to Trend Following
The Tzotchev Trend Measure represents a sophisticated advancement in quantitative trend analysis, moving beyond traditional moving average-based indicators toward a statistically rigorous framework for measuring trend strength. This indicator implements the methodology developed by Tzotchev et al. (2015) in their seminal J.P. Morgan research paper "Designing robust trend-following system: Behind the scenes of trend-following," which introduced a probabilistic approach to trend measurement that has since become a cornerstone of institutional trading strategies.
Mathematical Foundation and Statistical Theory
The core innovation of the Tzotchev Trend Measure lies in its transformation of price momentum into a probability-based metric through the application of statistical hypothesis testing principles. The indicator employs the fundamental formula ST = 2 × Φ(√T × r̄T / σ̂T) - 1, where ST represents the trend strength score bounded between -1 and +1, Φ(x) denotes the normal cumulative distribution function, T represents the lookback period in trading days, r̄T is the average logarithmic return over the specified period, and σ̂T represents the estimated daily return volatility.
This formulation transforms what is essentially a t-statistic into a probabilistic trend measure, testing the null hypothesis that the mean return equals zero against the alternative hypothesis of non-zero mean return. The use of logarithmic returns rather than simple returns provides several statistical advantages, including symmetry properties where log(P₁/P₀) = -log(P₀/P₁), additivity characteristics that allow for proper compounding analysis, and improved validity of normal distribution assumptions that underpin the statistical framework.
The implementation utilizes the Abramowitz and Stegun (1964) approximation for the normal cumulative distribution function, achieving accuracy within ±1.5 × 10⁻⁷ for all input values. This approximation employs Horner's method for polynomial evaluation to ensure numerical stability, particularly important when processing large datasets or extreme market conditions.
Comparative Analysis with Traditional Trend Measurement Methods
The Tzotchev Trend Measure demonstrates significant theoretical and empirical advantages over conventional trend analysis techniques. Traditional moving average-based systems, including simple moving averages (SMA), exponential moving averages (EMA), and their derivatives such as MACD, suffer from several fundamental limitations that the Tzotchev methodology addresses systematically.
Moving average systems exhibit inherent lag bias, as documented by Kaufman (2013) in "Trading Systems and Methods," where he demonstrates that moving averages inevitably lag price movements by approximately half their period length. This lag creates delayed signal generation that reduces profitability in trending markets and increases false signal frequency during consolidation periods. In contrast, the Tzotchev measure eliminates lag bias by directly analyzing the statistical properties of return distributions rather than smoothing price levels.
The volatility normalization inherent in the Tzotchev formula addresses a critical weakness in traditional momentum indicators. As shown by Bollinger (2001) in "Bollinger on Bollinger Bands," momentum oscillators like RSI and Stochastic fail to account for changing volatility regimes, leading to inconsistent signal interpretation across different market conditions. The Tzotchev measure's incorporation of return volatility in the denominator ensures that trend strength assessments remain consistent regardless of the underlying volatility environment.
Empirical studies by Hurst, Ooi, and Pedersen (2013) in "Demystifying Managed Futures" demonstrate that traditional trend-following indicators suffer from significant drawdowns during whipsaw markets, with Sharpe ratios frequently below 0.5 during challenging periods. The authors attribute these poor performance characteristics to the binary nature of most trend signals and their inability to quantify signal confidence. The Tzotchev measure addresses this limitation by providing continuous probability-based outputs that allow for more sophisticated risk management and position sizing strategies.
The statistical foundation of the Tzotchev approach provides superior robustness compared to technical indicators that lack theoretical grounding. Fama and French (1988) in "Permanent and Temporary Components of Stock Prices" established that price movements contain both permanent and temporary components, with traditional moving averages unable to distinguish between these elements effectively. The Tzotchev methodology's hypothesis testing framework specifically tests for the presence of permanent trend components while filtering out temporary noise, providing a more theoretically sound approach to trend identification.
Research by Moskowitz, Ooi, and Pedersen (2012) in "Time Series Momentum in the Cross Section of Asset Returns" found that traditional momentum indicators exhibit significant variation in effectiveness across asset classes and time periods. Their study of multiple asset classes over decades revealed that simple price-based momentum measures often fail to capture persistent trends in fixed income and commodity markets. The Tzotchev measure's normalization by volatility and its probabilistic interpretation provide consistent performance across diverse asset classes, as demonstrated in the original J.P. Morgan research.
Comparative performance studies conducted by AQR Capital Management (Asness, Moskowitz, and Pedersen, 2013) in "Value and Momentum Everywhere" show that volatility-adjusted momentum measures significantly outperform traditional price momentum across international equity, bond, commodity, and currency markets. The study documents Sharpe ratio improvements of 0.2 to 0.4 when incorporating volatility normalization, consistent with the theoretical advantages of the Tzotchev approach.
The regime detection capabilities of the Tzotchev measure provide additional advantages over binary trend classification systems. Research by Ang and Bekaert (2002) in "Regime Switches in Interest Rates" demonstrates that financial markets exhibit distinct regime characteristics that traditional indicators fail to capture adequately. The Tzotchev measure's five-tier classification system (Strong Bull, Weak Bull, Neutral, Weak Bear, Strong Bear) provides more nuanced market state identification than simple trend/no-trend binary systems.
Statistical testing by Jegadeesh and Titman (2001) in "Profitability of Momentum Strategies" revealed that traditional momentum indicators suffer from significant parameter instability, with optimal lookback periods varying substantially across market conditions and asset classes. The Tzotchev measure's statistical framework provides more stable parameter selection through its grounding in hypothesis testing theory, reducing the need for frequent parameter optimization that can lead to overfitting.
Advanced Noise Filtering and Market Regime Detection
A significant enhancement over the original Tzotchev methodology is the incorporation of a multi-factor noise filtering system designed to reduce false signals during sideways market conditions. The filtering mechanism employs four distinct approaches: adaptive thresholding based on current market regime strength, volatility-based filtering utilizing ATR percentile analysis, trend strength confirmation through momentum alignment, and a comprehensive multi-factor approach that combines all methodologies.
The adaptive filtering system analyzes market microstructure through price change relative to average true range, calculates volatility percentiles over rolling windows, and assesses trend alignment across multiple timeframes using exponential moving averages of varying periods. This approach addresses one of the primary limitations identified in traditional trend-following systems, namely their tendency to generate excessive false signals during periods of low volatility or sideways price action.
The regime detection component classifies market conditions into five distinct categories: Strong Bull (ST > 0.3), Weak Bull (0.1 < ST ≤ 0.3), Neutral (-0.1 ≤ ST ≤ 0.1), Weak Bear (-0.3 ≤ ST < -0.1), and Strong Bear (ST < -0.3). This classification system provides traders with clear, quantitative definitions of market regimes that can inform position sizing, risk management, and strategy selection decisions.
Professional Implementation and Trading Applications
The indicator incorporates three distinct trading profiles designed to accommodate different investment approaches and risk tolerances. The Conservative profile employs longer lookback periods (63 days), higher signal thresholds (0.2), and reduced filter sensitivity (0.5) to minimize false signals and focus on major trend changes. The Balanced profile utilizes standard academic parameters with moderate settings across all dimensions. The Aggressive profile implements shorter lookback periods (14 days), lower signal thresholds (-0.1), and increased filter sensitivity (1.5) to capture shorter-term trend movements.
Signal generation occurs through threshold crossover analysis, where long signals are generated when the trend measure crosses above the specified threshold and short signals when it crosses below. The implementation includes sophisticated signal confirmation mechanisms that consider trend alignment across multiple timeframes and momentum strength percentiles to reduce the likelihood of false breakouts.
The alert system provides real-time notifications for trend threshold crossovers, strong regime changes, and signal generation events, with configurable frequency controls to prevent notification spam. Alert messages are standardized to ensure consistency across different market conditions and timeframes.
Performance Optimization and Computational Efficiency
The implementation incorporates several performance optimization features designed to handle large datasets efficiently. The maximum bars back parameter allows users to control historical calculation depth, with default settings optimized for most trading applications while providing flexibility for extended historical analysis. The system includes automatic performance monitoring that generates warnings when computational limits are approached.
Error handling mechanisms protect against division by zero conditions, infinite values, and other numerical instabilities that can occur during extreme market conditions. The finite value checking system ensures data integrity throughout the calculation process, with fallback mechanisms that maintain indicator functionality even when encountering corrupted or missing price data.
Timeframe validation provides warnings when the indicator is applied to unsuitable timeframes, as the Tzotchev methodology was specifically designed for daily and higher timeframe analysis. This validation helps prevent misapplication of the indicator in contexts where its statistical assumptions may not hold.
Visual Design and User Interface
The indicator features eight professional color schemes designed for different trading environments and user preferences. The EdgeTools theme provides an institutional blue and steel color palette suitable for professional trading environments. The Gold theme offers warm colors optimized for commodities trading. The Behavioral theme incorporates psychology-based color contrasts that align with behavioral finance principles. The Quant theme provides neutral colors suitable for analytical applications.
Additional specialized themes include Ocean, Fire, Matrix, and Arctic variations, each optimized for specific visual preferences and trading contexts. All color schemes include automatic dark and light mode optimization to ensure optimal readability across different chart backgrounds and trading platforms.
The information table provides real-time display of key metrics including current trend measure value, market regime classification, signal strength, Z-score, average returns, volatility measures, filter threshold levels, and filter effectiveness percentages. This comprehensive dashboard allows traders to monitor all relevant indicator components simultaneously.
Theoretical Implications and Research Context
The Tzotchev Trend Measure addresses several theoretical limitations inherent in traditional technical analysis approaches. Unlike moving average-based systems that rely on price level comparisons, this methodology grounds trend analysis in statistical hypothesis testing, providing a more robust theoretical foundation for trading decisions.
The probabilistic interpretation of trend strength offers significant advantages over binary trend classification systems. Rather than simply indicating whether a trend exists, the measure quantifies the statistical confidence level associated with the trend assessment, allowing for more nuanced risk management and position sizing decisions.
The incorporation of volatility normalization addresses the well-documented problem of volatility clustering in financial time series, ensuring that trend strength assessments remain consistent across different market volatility regimes. This normalization is particularly important for portfolio management applications where consistent risk metrics across different assets and time periods are essential.
Practical Applications and Trading Strategy Integration
The Tzotchev Trend Measure can be effectively integrated into various trading strategies and portfolio management frameworks. For trend-following strategies, the indicator provides clear entry and exit signals with quantified confidence levels. For mean reversion strategies, extreme readings can signal potential turning points. For portfolio allocation, the regime classification system can inform dynamic asset allocation decisions.
The indicator's statistical foundation makes it particularly suitable for quantitative trading strategies where systematic, rules-based approaches are preferred over discretionary decision-making. The standardized output range facilitates easy integration with position sizing algorithms and risk management systems.
Risk management applications benefit from the indicator's ability to quantify trend strength and provide early warning signals of potential trend changes. The multi-timeframe analysis capability allows for the construction of robust risk management frameworks that consider both short-term tactical and long-term strategic market conditions.
Implementation Guide and Parameter Configuration
The practical application of the Tzotchev Trend Measure requires careful parameter configuration to optimize performance for specific trading objectives and market conditions. This section provides comprehensive guidance for parameter selection and indicator customization.
Core Calculation Parameters
The Lookback Period parameter controls the statistical window used for trend calculation and represents the most critical setting for the indicator. Default values range from 14 to 63 trading days, with shorter periods (14-21 days) providing more sensitive trend detection suitable for short-term trading strategies, while longer periods (42-63 days) offer more stable trend identification appropriate for position trading and long-term investment strategies. The parameter directly influences the statistical significance of trend measurements, with longer periods requiring stronger underlying trends to generate significant signals but providing greater reliability in trend identification.
The Price Source parameter determines which price series is used for return calculations. The default close price provides standard trend analysis, while alternative selections such as high-low midpoint ((high + low) / 2) can reduce noise in volatile markets, and volume-weighted average price (VWAP) offers superior trend identification in institutional trading environments where volume concentration matters significantly.
The Signal Threshold parameter establishes the minimum trend strength required for signal generation, with values ranging from -0.5 to 0.5. Conservative threshold settings (0.2 to 0.3) reduce false signals but may miss early trend opportunities, while aggressive settings (-0.1 to 0.1) provide earlier signal generation at the cost of increased false positive rates. The optimal threshold depends on the trader's risk tolerance and the volatility characteristics of the traded instrument.
Trading Profile Configuration
The Trading Profile system provides pre-configured parameter sets optimized for different trading approaches. The Conservative profile employs a 63-day lookback period with a 0.2 signal threshold and 0.5 noise sensitivity, designed for long-term position traders seeking high-probability trend signals with minimal false positives. The Balanced profile uses a 21-day lookback with 0.05 signal threshold and 1.0 noise sensitivity, suitable for swing traders requiring moderate signal frequency with acceptable noise levels. The Aggressive profile implements a 14-day lookback with -0.1 signal threshold and 1.5 noise sensitivity, optimized for day traders and scalpers requiring frequent signal generation despite higher noise levels.
Advanced Noise Filtering System
The noise filtering mechanism addresses the challenge of false signals during sideways market conditions through four distinct methodologies. The Adaptive filter adjusts thresholds based on current trend strength, increasing sensitivity during strong trending periods while raising thresholds during consolidation phases. The Volatility-based filter utilizes Average True Range (ATR) percentile analysis to suppress signals during abnormally volatile conditions that typically generate false trend indications.
The Trend Strength filter requires alignment between multiple momentum indicators before confirming signals, reducing the probability of false breakouts from consolidation patterns. The Multi-factor approach combines all filtering methodologies using weighted scoring to provide the most robust noise reduction while maintaining signal responsiveness during genuine trend initiations.
The Noise Sensitivity parameter controls the aggressiveness of the filtering system, with lower values (0.5-1.0) providing conservative filtering suitable for volatile instruments, while higher values (1.5-2.0) allow more signals through but may increase false positive rates during choppy market conditions.
Visual Customization and Display Options
The Color Scheme parameter offers eight professional visualization options designed for different analytical preferences and market conditions. The EdgeTools scheme provides high contrast visualization optimized for trend strength differentiation, while the Gold scheme offers warm tones suitable for commodity analysis. The Behavioral scheme uses psychological color associations to enhance decision-making speed, and the Quant scheme provides neutral colors appropriate for quantitative analysis environments.
The Ocean, Fire, Matrix, and Arctic schemes offer additional aesthetic options while maintaining analytical functionality. Each scheme includes optimized colors for both light and dark chart backgrounds, ensuring visibility across different trading platform configurations.
The Show Glow Effects parameter enhances plot visibility through multiple layered lines with progressive transparency, particularly useful when analyzing multiple timeframes simultaneously or when working with dense price data that might obscure trend signals.
Performance Optimization Settings
The Maximum Bars Back parameter controls the historical data depth available for calculations, with values ranging from 5,000 to 50,000 bars. Higher values enable analysis of longer-term trend patterns but may impact indicator loading speed on slower systems or when applied to multiple instruments simultaneously. The optimal setting depends on the intended analysis timeframe and available computational resources.
The Calculate on Every Tick parameter determines whether the indicator updates with every price change or only at bar close. Real-time calculation provides immediate signal updates suitable for scalping and day trading strategies, while bar-close calculation reduces computational overhead and eliminates signal flickering during bar formation, preferred for swing trading and position management applications.
Alert System Configuration
The Alert Frequency parameter controls notification generation, with options for all signals, bar close only, or once per bar. High-frequency trading strategies benefit from all signals mode, while position traders typically prefer bar close alerts to avoid premature position entries based on intrabar fluctuations.
The alert system generates four distinct notification types: Long Signal alerts when the trend measure crosses above the positive signal threshold, Short Signal alerts for negative threshold crossings, Bull Regime alerts when entering strong bullish conditions, and Bear Regime alerts for strong bearish regime identification.
Table Display and Information Management
The information table provides real-time statistical metrics including current trend value, regime classification, signal status, and filter effectiveness measurements. The table position can be customized for optimal screen real estate utilization, and individual metrics can be toggled based on analytical requirements.
The Language parameter supports both English and German display options for international users, while maintaining consistent calculation methodology regardless of display language selection.
Risk Management Integration
Effective risk management integration requires coordination between the trend measure signals and position sizing algorithms. Strong trend readings (above 0.5 or below -0.5) support larger position sizes due to higher probability of trend continuation, while neutral readings (between -0.2 and 0.2) suggest reduced position sizes or range-trading strategies.
The regime classification system provides additional risk management context, with Strong Bull and Strong Bear regimes supporting trend-following strategies, while Neutral regimes indicate potential for mean reversion approaches. The filter effectiveness metric helps traders assess current market conditions and adjust strategy parameters accordingly.
Timeframe Considerations and Multi-Timeframe Analysis
The indicator's effectiveness varies across different timeframes, with higher timeframes (daily, weekly) providing more reliable trend identification but slower signal generation, while lower timeframes (hourly, 15-minute) offer faster signals with increased noise levels. Multi-timeframe analysis combining trend alignment across multiple periods significantly improves signal quality and reduces false positive rates.
For optimal results, traders should consider trend alignment between the primary trading timeframe and at least one higher timeframe before entering positions. Divergences between timeframes often signal potential trend reversals or consolidation periods requiring strategy adjustment.
Conclusion
The Tzotchev Trend Measure represents a significant advancement in technical analysis methodology, combining rigorous statistical foundations with practical trading applications. Its implementation of the J.P. Morgan research methodology provides institutional-quality trend analysis capabilities previously available only to sophisticated quantitative trading firms.
The comprehensive parameter configuration options enable customization for diverse trading styles and market conditions, while the advanced noise filtering and regime detection capabilities provide superior signal quality compared to traditional trend-following indicators. Proper parameter selection and understanding of the indicator's statistical foundation are essential for achieving optimal trading results and effective risk management.
References
Abramowitz, M. and Stegun, I.A. (1964). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. Washington: National Bureau of Standards.
Ang, A. and Bekaert, G. (2002). Regime Switches in Interest Rates. Journal of Business and Economic Statistics, 20(2), 163-182.
Asness, C.S., Moskowitz, T.J., and Pedersen, L.H. (2013). Value and Momentum Everywhere. Journal of Finance, 68(3), 929-985.
Bollinger, J. (2001). Bollinger on Bollinger Bands. New York: McGraw-Hill.
Fama, E.F. and French, K.R. (1988). Permanent and Temporary Components of Stock Prices. Journal of Political Economy, 96(2), 246-273.
Hurst, B., Ooi, Y.H., and Pedersen, L.H. (2013). Demystifying Managed Futures. Journal of Investment Management, 11(3), 42-58.
Jegadeesh, N. and Titman, S. (2001). Profitability of Momentum Strategies: An Evaluation of Alternative Explanations. Journal of Finance, 56(2), 699-720.
Kaufman, P.J. (2013). Trading Systems and Methods. 5th Edition. Hoboken: John Wiley & Sons.
Moskowitz, T.J., Ooi, Y.H., and Pedersen, L.H. (2012). Time Series Momentum. Journal of Financial Economics, 104(2), 228-250.
Tzotchev, D., Lo, A.W., and Hasanhodzic, J. (2015). Designing robust trend-following system: Behind the scenes of trend-following. J.P. Morgan Quantitative Research, Asset Management Division.
Swing Elite Macro Valuation ToolThis tool evaluates macro valuation conditions by comparing the current price of an asset to key macroeconomic instruments (like ZB1 bonds, DXY dollar index, and GC1 gold or more futures, like silver, sf, jpy and many others). It provides normalized valuation readings, plots overvalued/undervalued zones, and includes a live table and alerts.
⸻
Key Features:
1. Macro Valuation Indexes
• Compare the charted asset against up to 3 macro symbols.
• Normalize performance as % move from historical baseline.
• Modes: Short-term or Long-term .
2. Over/Undervaluation Detection
• Choose manual levels or automatic dynamic bands based on standard deviation.
• Default thresholds: Overvalued ≥ 88, Undervalued ≤ 10.
3. Visual Outputs
• Colored plots per macro asset:
• 🔴 Red = Overvalued
• 🟢 Green = Undervalued
• 🔵 Neutral/Normal
• Upper, lower, and mid reference lines.
4. Valuation Table
• Displays each macro asset’s:
• Name
• Current valuation %
• Status (Over / Under / Normal)
• Color signal dot
5. Multi-Timeframe Support
• Choose chart timeframe or set a custom valuation timeframe.
6. Alerts
• Alert conditions for over/undervalued signals per macro symbol.
⸻
Usage Instructions:
1. Select Valuation Mode
• Use "Short-term" for recent sentiment.
• Use "Long-term" to evaluate deeper macro positioning.
2. Choose Comparison Symbols
• Enable/disable ZB1, DXY, GC1 or replace with any symbols you want.
3. Adjust Levels
• Select "ManualLevels" or "AutoLevels".
• Tune Overvalued, Undervalued, Lookback, and Multiplier.
4. Set Table Display
• Enable "Show Table" and select its screen position.
5. Set Alerts
• Configure alert triggers from the alert panel (based on valuation levels).
⸻
Perfect For:
Traders who want to analyze asset pricing in context of macro trends, mean reversion, and relative strength/weakness of bonds, the dollar, or gold. Ideal for intermarket analysis and value-based swing trading.
TrenVantage LITE TrenVantage LITE - Smart Trend Detector
"Professional ZigZag trend detection with real-time alerts and market structure analysis. Clean interface shows trend direction, price changes, and swing data."
TrenVantage LITE delivers professional-grade trend detection using advanced ZigZag analysis to identify market structure and trend changes in real-time. Built with a logic that goes beyond basic pivot detection, this free version provides essential trend analysis tools with a clean, intuitive interface designed for traders of all experience levels.
Key Features:
Advanced Trend Detection
Smart ZigZag Algorithm: Proprietary trend foundation model based on market structure principles
Customizable Sensitivity: Choose between Points or Percentage-based deviation settings
Real-Time Updates: Calculate on bar close or tick-by-tick for immediate trend changes
Flexible Analysis: 15-25 bar lookback range with 20-bar default setting
Visual Analysis Tools
Clean Trend Lines: Customizable color and width for optimal chart visibility
Professional Interface: Modern status box showing current trend and price metrics
Multiple Positioning: Place status box in any corner to match your chart layout
Market Structure: Clear visualization of swing highs and lows
Smart Alerts System
Trend Change Notifications: Instant alerts when market transitions between uptrend and downtrend
Reliable Detection: Confirmed trend changes based on significant price movements
Multiple Alert Options: Compatible with TradingView's alert system
How It Works
TrenVantage LITE uses a sophisticated ZigZag algorithm that goes beyond simple pivot detection. Our proprietary "trend-start model" identifies meaningful market structure changes by:
Analyzing Price Action: Uses high/low or close prices based on your preference
Filtering Noise: Customizable deviation thresholds eliminate false signals
Confirming Trends: Only signals trend changes after significant price movement
Tracking Structure: Maintains swing history for comprehensive analysis
Status Box Information
The integrated status box provides at-a-glance market information.
Current Trend Direction: Clear uptrend/downtrend identification with visual indicators
Live Price Data: Current price with session change and percentage movement
Swing Analysis: Number of detected swings with trend-only limitation indicator
Clean Design: Professional appearance that doesn't clutter your chart
Settings & Customization
ZigZag Parameters:
Deviation Type: Points (fixed price difference) or Percent (percentage change)
Deviation Value: Minimum price movement required to create new swing
Use High Low: Toggle between high/low prices vs close prices for analysis
Calculate Mode: Choose bar close confirmation or real-time tick updates
Lookback Range: Adjust historical analysis from 15-25 bars
Visual Controls
Trend Line Color: Customize line color to match your chart theme
Line Width: Adjust thickness from 1-4 pixels for optimal visibility
Status Box: Toggle display and choose corner positioning
Best Practices:
Timeframe Selection
Scalping (1-5min): Use 0.3-0.8 Points deviation with tick calculation
Day Trading (15-60min): Use 1-3 Points or 0.2-0.5% deviation
Swing Trading (4H-Daily): Use 0.5-1.5% deviation with bar close calculation
Getting Started
Add to Chart: Apply TrenVantage LITE to your preferred timeframe
Adjust Settings: Configure deviation and visual preferences
Set Alerts: Enable trend change notifications for your trading strategy
Analyze Trends: Use the status box and visual lines to identify market direction
Upgrade When Ready: Explore RETAIL version for Support/Resistance levels
Ready to Level Up? Upgrade to TrenVantage RETAIL
While TrenVantage LITE provides solid trend analysis, TrenVantage RETAIL transforms your trading with professional-grade market structure tools:
What You're Missing in LITE:
Support and Resistance level detection - automatically identifies key price levels where markets react
Price labels on levels - see exact values instantly without hovering or zooming
Enhanced status box - shows distance to nearest support/resistance for timing entries and exits
Up to 5 key levels - comprehensive coverage of important price zones
Level strength indicators - understand which levels are most likely to hold
Professional workflow - combines trend analysis with key level identification
TrenVantage RETAIL takes the solid trend foundation you see in LITE and adds the critical support/resistance analysis that serious traders rely on daily.
Disclaimer: Trading involves risk of loss. This indicator is for educational and analysis purposes. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Sri - Custom RSI Candle/Heikinashi Colors on MTFSri - Custom RSI Candle/Heikinashi Colors (TF RSI + EMA50 + Daily Trend Marker)
Short title: Sri - RSI EMA TF
Version: Pine Script v5
Overlay: Yes
Overview
This script enhances the standard RSI indicator by combining multiple features to visually represent market momentum and trend strength on both custom and daily timeframes. It recolors candlesticks or draws custom candles based on RSI levels relative to its EMA, offering a clear, intuitive way to identify trend direction and overbought/oversold conditions.
Key benefits include:
Multi-timeframe RSI & EMA analysis.
Optional Heikin Ashi or normal price source for RSI calculation.
Custom candle coloring for immediate visual insights.
Daily trend markers for longer-term trend context.
Features
Custom Timeframe RSI + EMA50
Calculate RSI on any user-selected timeframe (default: 5 min).
Apply a 50-period EMA on the RSI to identify trend direction.
Visual differentiation based on RSI relative to EMA:
Uptrend: RSI > EMA and above 50 → Blue candles
Downtrend: RSI < EMA and below 50 → Yellow candles
Conflict zones: RSI and EMA in opposite directions → Red or Green borders
Daily Trend Marker
Plots a tiny circle below each candle showing the daily RSI trend for additional context.
Helps align short-term trades with longer-term market direction.
Candle Visualization Options
Recolor built-in bars (default)
Custom candles with transparent bodies + colored borders
Overbought (RSI ≥ 70) → Dark Green
Oversold (RSI ≤ 30) → Orange
Heikin Ashi Support
Users can choose between Normal or Heikin Ashi candle prices as the RSI source.
Provides a smoother view of trends when using Heikin Ashi.
Transparency for Neutral Zones
Neutral or sideways RSI conditions are represented by transparent candles, reducing visual clutter.
Inputs
Input Description
Custom RSI Timeframe Select timeframe for RSI calculation (default: 5 min)
RSI Length Period for RSI calculation (default: 14)
EMA Length EMA period applied on RSI (default: 50)
Use custom candles True → draws custom candles with colored borders; False → recolors default bars
Price Source for RSI "Normal" or "Heikin Ashi"
Color Scheme
Condition Body Color Border Color
RSI ≥ 70 (Overbought) Dark Green Dark Green
RSI ≤ 30 (Oversold) Orange Orange
RSI ≥ 50 and RSI ≥ EMA Blue Blue
RSI < 50 and RSI ≤ EMA Yellow Yellow
RSI < 50 and RSI ≥ EMA Transparent Red (Conflict)
RSI ≥ 50 and RSI ≤ EMA Transparent Green (Conflict)
How to Use
Add the script to your chart.
Choose whether to use custom candles or recolor standard bars.
Set your preferred RSI timeframe and EMA length.
Optional: Switch between Normal or Heikin Ashi as the RSI source.
Observe candle colors and daily circles for trend alignment:
Green/Blue → Uptrend
Red/Yellow → Downtrend
Transparent → Neutral/conflict zones
Trading Insights
Candle colors quickly indicate short-term momentum relative to RSI and EMA.
Daily trend markers allow alignment of short-term trades with broader market context.
Conflict zones (transparent bodies with red/green borders) highlight caution areas where trend direction may be ambiguous.
Combining multiple timeframes (custom + daily) increases the accuracy of trend-based decision-making.
Notes
Works best when combined with other indicators (volume, support/resistance) for confirmation.
Ideal for scalping, intraday, or swing trading strategies.
Compatible with most symbols and timeframes supported by TradingView.
Order Blocks & FVG (Kostya)the indicator is the attempt to visualize the trading opportunities - price magnets and potential reversal zones for intraday and swing trading.
EMA Cross Suite (8/20/50/200) GOLDEN/DEATH by Carlos Chavez📜 Short Description (max 160 characters)
“Advanced EMA crossover system with FAST, MID, GOLDEN, and DEATH signals. Includes alerts, optimized visuals, and full customization.”
📄 Full Description (Paste in the box)
📌 Overview
The Embilletados • EMA Cross Suite is a professional trading indicator designed for intraday traders, scalpers, and swing traders.
It provides clear crossover signals using 4 EMAs combined with optimized visualization and built-in alerts to help you catch opportunities faster.
✨ Key Features:
🔹 4 configurable EMAs → 8, 20, 50, and 200.
🔹 Instant visual signals with colored labels:
FAST CROSS (8/20) → Quick momentum shifts.
MID CROSS (20/50) → Trend confirmation signals.
GOLDEN CROSS (50/200) → Strong bullish trend signals.
DEATH CROSS (50/200) → Strong bearish trend signals.
🔹 Built-in alerts → Get notified instantly for all crossover events.
🔹 Optimized visualization → Clean and easy-to-read interface.
🔹 Highly customizable → Enable/disable signals, labels, colors, and alerts according to your strategy.
📊 Recommended Timeframes:
10-minute charts → Best for intraday setups.
1-hour charts → Ideal for swing trading and trend confirmation.
🚀 How to Use:
Add the indicator to your chart.
Set up alerts for the desired crossovers: FAST, MID, GOLDEN, or DEATH.
Trade confidently using clear visual confirmations and real-time notifications.
🌟 Perfect for:
✅ Intraday traders
✅ Scalpers
✅ Swing traders
✅ Trend-following strategies
TWAP OscillatorTWAP Oscillator (TOSC)
A powerful mean reversion oscillator that measures price deviation from Time-Weighted Average Price (TWAP) in standard deviations, automatically adapting to your chart timeframe.
How It Works:
The TWAP Oscillator calculates the distance between current price and TWAP, expressed in standard deviations. Unlike VWAP which weights by volume, TWAP gives equal weight to each time period, making it ideal for:
• Mean Reversion Trading - Identifies when price is statistically overextended from its time-weighted average
• Trend Strength Analysis - Shows how far price has deviated from the TWAP baseline
• Entry/Exit Timing - Provides objective levels for trade entries and exits
Automatic Timeframe Adaptation:
The indicator intelligently selects the appropriate TWAP period based on your chart timeframe:
1m Charts → 1D TWAP (intraday mean reversion)
3m-5m Charts → 7D TWAP (weekly perspective)
15m-1h Charts → 30D TWAP (monthly context)
4h-8h Charts → 90D TWAP (quarterly view)
Daily Charts → 365D TWAP (yearly reference)
Trading Days vs Calendar Days:
Toggle between trading days (5D, 22D, 66D, 252D) or calendar days (7D, 30D, 90D, 365D) to match your analysis style.
Divergence Analysis - High Probability Reversals:
The most powerful signals occur when price and oscillator diverge at extreme levels:
Bullish Divergence (Oversold):
• Price makes lower lows
• Oscillator makes higher lows
• Both at oversold levels (-2 or lower)
• Strong buy signal - price weakness not confirmed by TWAP
Bearish Divergence (Overbought):
• Price makes higher highs
• Oscillator makes lower highs
• Both at overbought levels (+2 or higher)
• Strong sell signal - price strength not confirmed by TWAP
Hidden Bullish Divergence:
• Price makes higher lows
• Oscillator makes lower lows
• At oversold levels
• Trend continuation signal - pullback in uptrend
Hidden Bearish Divergence:
• Price makes lower highs
• Oscillator makes higher highs
• At overbought levels
• Trend continuation signal - rally in downtrend
Divergence Confluence Zones:
Maximum Confluence Setup:
• Divergence at extreme levels (±2+ std dev)
• Multiple timeframe confirmation
• Key support/resistance levels
• Volume confirmation
• Highest probability reversal
Divergence Trading Rules:
• Wait for clear divergence formation
• Confirm at extreme oscillator levels
• Enter on divergence confirmation
• Stop loss beyond recent swing
• Target return to zero line or opposite extreme
Key Features:
• Zero Line - Neutral position where price equals TWAP
• Overbought/Oversold Levels - Default ±2 standard deviations (customizable)
• Smoothing - SMA filter to reduce noise
• Info Table - Shows current values and timeframe mapping
• Alerts - Zero line crosses and overbought/oversold conditions
Trading Applications:
Mean Reversion Strategy:
• Enter long when oscillator crosses above oversold level (-2)
• Enter short when oscillator crosses below overbought level (+2)
• Exit when returning to zero line
Trend Following:
• Stay long while oscillator remains above zero
• Stay short while oscillator remains below zero
• Use extreme readings as potential reversal signals
Risk Management:
• Use overbought/oversold levels as stop-loss references
• Scale position size based on oscillator magnitude
• Combine with other indicators for confirmation
Mathematical Foundation:
Oscillator = (Current Price - TWAP) / Standard Deviation
Where:
• TWAP = Time-weighted average price over selected period
• Standard Deviation = Statistical measure of price dispersion
• Result = Number of standard deviations from mean
Best Practices:
• Use on higher timeframes for trend analysis
• Use on lower timeframes for entry timing
• Combine with volume analysis for confirmation
• Adjust overbought/oversold levels based on market volatility
• Consider market structure and support/resistance levels
Perfect For:
• Scalping - 1m charts with 1D TWAP
• Day Trading - 5m-15m charts with 7D TWAP
• Swing Trading - 1h-4h charts with 30D TWAP
• Position Trading - Daily charts with 365D TWAP
Moons Bearish Pullback Detector# Moons Bearish Pullback Detector
## Overview
**Moons Bearish Pullback Detector** is a trend following indicator intended to identify bearish trend pullbacks to enter on price continuation.
This indicator is useful for setting watchlist alerts! Configure your pullback rules and have it monitor your watchlist for you. You will be alerted when pullbacks have occurred and are starting to continue in the trend direction.
## How It Works
### Bearish Trend Detection
The indicator identifies a bearish trend based on a configurable MA basis
### Pullback Identification
Once in a bearish trend, the indicator tracks:
Swing Lows: Continuously monitors and updates the lowest point in the trend
Pullback Start: Detects the first green candle after establishing new lows
Pullback Duration: Monitors pullback length (configurable number of bars)
Pullback Depth: Ensures pullbacks don't violate a key moving average (optional)
### Multi-Layer Filtering System
The indicator employs several optional filters to ensure signal quality:
Volume Filter: Set a minimum daily volume to ensure sufficient liquidity
Pullback Duration Filter: Pick a min and max bar count you like to see in a pullback.
Pullback Depth Filter: Monitors that pullbacks don't close above the desired EMA, maintaining trend strength
Validation Filter: Checks higher timeframe moving average for trend confirmation
Context Filter: Analyzes even higher timeframe for broader market context
### Alert System
The indicator generates alerts when:
All filtering conditions are met
Price crosses back below the configured alert line
This signals potential continuation of the bearish trend and gives warning to place potential orders
## Key Features
### Alerts
The indicator is useful for driving a watchlist alert to notify you when a pullback is starting to continue the trend.
### Visual Elements
Bollinger Bands: Optional display of 1 and 2 standard deviation bands
Moving Averages: 20 EMA (basis), 50 EMA, and 10 EMA (pullback filter)
Trend High Line: Yellow line showing current swing low during pullbacks
Alert Line: Entry signal line positioned below swing low
Background Highlighting: Gray for normal pullbacks, red tint when rules aren't met
Labels: Price labels at swing lows and depth violation warnings
Wick Detection: Tags bullish and bearish wicks for helpful spotting in your analysis
### Information Table
Comprehensive status table to show the state of your filters and rules as price plays out.
### Configuration Options
Moving average settings
Display Options
Alert Configuration
Filter Settings
## Best Use Cases
Swing Trading: Identify high-probability entries during trend pullbacks
Trend Following: Stay aligned with strong bearish momentum
Risk Management: Multiple filters help avoid false signals
Multi-Timeframe Analysis: Ensures broader market context alignment
## Trading Applications
This indicator works best when:
Markets are in clear downtrends
Sufficient volume is present
Multiple timeframes align
Used in conjunction with proper risk management
The Moons Pullback Detector provides traders with a systematic approach to identifying and capitalizing on pullback opportunities in strong bearish trends, combining technical rigor with practical usability.
---
*Note: This indicator is for educational purposes. Past performance does not guarantee future results. Always use proper risk management and consider multiple factors when making trading decisions.*
Moons Bullish Pullback Detector# Moons Pullback Detector
## Overview
**Moons Pullback Detector** is a trend following indicator intended to identify bullish trend pullbacks to enter on price continuation.
This indicator is useful for setting watchlist alerts! Configure your pullback rules and have it monitor your watchlist for you. You will be alerted when pullbacks have occurred and are starting to continue in the trend direction.
## How It Works
### Bullish Trend Detection
The indicator identifies a bullish trend based on a configurable MA basis
### Pullback Identification
Once in a bullish trend, the indicator tracks:
Swing Highs: Continuously monitors and updates the highest point in the trend
Pullback Start: Detects the first red candle after establishing new highs
Pullback Duration: Monitors pullback length (configurable number of bars)
Pullback Depth: Ensures pullbacks don't violate a key moving average (optional)
### Multi-Layer Filtering System
The indicator employs several optional filters to ensure signal quality:
Volume Filter: Set a minimum daily volume to ensure sufficient liquidity
Pullback Duration Filter: Pick a min and max bar count you like to see in a pullback.
Pullback Depth Filter: Monitors that pullbacks don't close below the desired EMA, maintaining trend strength
Validation Filter: Checks higher timeframe moving average for trend confirmation
Context Filter: Analyzes even higher timeframe for broader market context
### Alert System
The indicator generates alerts when:
All filtering conditions are met
Price crosses back above the configured alert line
This signals potential continuation of the bullish trend and gives warning to place potential orders
## Key Features
### Alerts
The indicator is useful for driving a watchlist alert to notify you when a pullback is starting to continue the trend.
### Visual Elements
Bollinger Bands: Optional display of 1 and 2 standard deviation bands
Moving Averages: 20 EMA (basis), 50 EMA, and 10 EMA (pullback filter)
Trend High Line: Yellow line showing current swing high during pullbacks
Alert Line: Entry signal line positioned below swing high
Background Highlighting: Gray for normal pullbacks, red tint when depth violated
Labels: Price labels at swing highs and depth violation warnings
Wick Detection: Tags bullish and bearish wicks for helpful spotting in your analysis
### Information Table
Comprehensive status table to show the state of your filters and rules as price plays out.
### Configuration Options
Moving average settings
Display Options
Alert Configuration
Filter Settings
## Best Use Cases
Swing Trading: Identify high-probability entries during trend pullbacks
Trend Following: Stay aligned with strong bullish momentum
Risk Management: Multiple filters help avoid false signals
Multi-Timeframe Analysis: Ensures broader market context alignment
## Trading Applications
This indicator works best when:
Markets are in clear uptrends
Sufficient volume is present
Multiple timeframes align bullishly
Used in conjunction with proper risk management
The Moons Pullback Detector provides traders with a systematic approach to identifying and capitalizing on pullback opportunities in strong bullish trends, combining technical rigor with practical usability.
---
*Note: This indicator is for educational purposes. Past performance does not guarantee future results. Always use proper risk management and consider multiple factors when making trading decisions.*
Artharjan ADXArtharjan ADX (AADX) by Rrahul Desai @Artharjan
📌 Overview
The Artharjan ADX (AADX) is an advanced implementation of the Average Directional Index (ADX) with customizable moving averages, momentum thresholds, and visually intuitive grading of bullish and bearish strength.
Unlike the standard ADX indicator that only shows trend strength, AADX adds graded bullish/bearish conditions, alerts, smoothed DI signals, histogram visualizations, and background color fills to help traders quickly interpret market conditions.
It is designed for traders who want early detection of trend strength, clean visual cues, and automated alert triggers for both bullish and bearish momentum setups.
⚙️ Key Features
🔹 Customizable Calculations
DI Length (default 13) – controls sensitivity of directional indicators.
+/- DI Smoothing – smooths DI signals with user-selected MA.
Multiple Moving Average Types – SMA, EMA, WMA, RMA, VWMA, ALMA, Hull, SWMA, SMMA, TMA.
ADX Smoothing – define how smooth/fast the ADX reacts.
🔹 Flexible Display
Toggle between line plots or histogram view.
Adjustable plot thickness.
Option to plot averages of ADX, +DI, -DI for confirmation.
Configurable background fills:
ADX above/below momentum threshold.
ADX rising/falling color shading.
Trend-grade based color intensity.
🔹 Momentum & Thresholds
Momentum Level (default 25) → defines “strong trend” zone.
Crossover Threshold (default 15) → helps detect early DI crossovers.
Color-coded histogram bars for +DI vs -DI difference:
Above/below zero.
Rising/falling momentum.
🔹 Bullish & Bearish Grading System
The indicator assigns grades from 1 to 5 for both bullish and bearish setups, based on DI and ADX conditions:
Bullish Grades
Grade 1 → Very Weak Bullish
Grade 2 → Weak Bullish
Grade 3 → Moderate Bullish
Grade 4 → Strong Bullish
Grade 5 → Very Strong Bullish
Bearish Grades
Grade 1 → Very Weak Bearish
Grade 2 → Weak Bearish
Grade 3 → Moderate Bearish
Grade 4 → Strong Bearish
Grade 5 → Very Strong Bearish
Labels are automatically plotted above bars to indicate the active grade.
🔹 Alerts
Bullish Alert → when +DI crosses above its average below the threshold OR bullish conditions are met.
Bearish Alert → when -DI crosses above its average below the threshold OR bearish conditions are met.
These alerts make it possible to automate trading signals for scalping, intraday, and swing trading.
📊 Use Cases
Trend Strength Measurement
Spot when markets shift from range-bound to trending.
Confirm the reliability of breakouts with strong ADX readings.
Bullish vs Bearish Control
Compare +DI vs -DI strength to gauge trend direction.
Identify trend reversals early with DI slope changes.
Momentum Confirmation
Use ADX rising + DI grades to validate trade entries.
Filter false breakouts with weak ADX.
Trade Grading System
Enter aggressively on Grade 4–5 signals.
Stay cautious on Grade 1–2 signals.
Automated Alerts & Screening
Combine AADX alerts with strategy rules.
Build scanners to highlight strong ADX setups across multiple stocks.
🎯 Trader’s Advantage
More powerful than standard ADX → Adds slope, grading, alerts, and visualization.
Adaptable to any style → Works for intraday scalping, swing trading, and positional analysis.
Visual clarity → Color fills, histograms, and labels simplify decision-making.
Customizable smoothing → Adjusts to fast or slow markets.
✅ Closing Note
The Artharjan ADX (AADX) transforms the traditional ADX into a complete trend and momentum analyzer. It helps traders detect, confirm, and act on directional strength with clarity and confidence.
With Thanks,
Rrahul Desai
@Artharjan
Intelligent Fear Indicator Pro+ v1.0 [EN] Intelligent Fear Pro+ — Make Your Decisions with Confidence
Turn candlesticks into clear, professionally filtered signals. The indicator combines pattern recognition with trend, volume, and volatility filters to deliver market signals that cut through the noise and highlight high-probability opportunities. It provides stronger confidence in every decision and shows only what matters on the chart for more accurate entries and exits, helping you pick the best trades across different timeframes.
Why You’ll Love It
High-quality signals: Confirms patterns with trend, volume, VWAP, ADX, and ATR.
Multi-timeframe confirmation: Smart filtering using higher-timeframe signals to reduce false alerts.
Instant alerts: Ready-to-use notifications so you never miss a move.
Practical design: Clean chart markers and a strong trend box to clarify current direction.
Flexible for any market: Works on forex, stocks, futures, and crypto — from scalping to swing trading.
What It Detects
Powerful patterns: Three White Soldiers / Three Black Crows, Five Soldiers / Five Crows, Cup & Handle, Engulfing, Morning Star, and Evening Star.
Professional filters: EMA trend, volume, VWAP, ADX (trend strength), ATR (true body momentum).
Optional VIX filter: Avoid trades during peak fear/volatility cycles.
How to Use It Quickly
Add it to your chart and adjust to your trading style.
Watch for pattern signals + confirmation from filters (trend/volume/VWAP).
Plan entries and exits with clear risk management.
⚠️ Important Note: This indicator is a decision-support tool, not investment advice. Always apply strict risk management.
Download Intelligent Fear Pro+ now and start seeing the market with greater clarity and speed.
Vagas-dctang(8~13)Overview
The Vegas Tunnel EMA 8-13 is a refined technical analysis indicator that utilizes two key exponential moving averages (8-period and 13-period EMAs) to create a dynamic tunnel system for identifying trend direction and potential support/resistance zones. This indicator is specifically designed to help traders visualize price action within the context of short-term trend dynamics.
Key Features
✅ Dual EMA Tunnel System: Creates a visual tunnel between 8 EMA (fast) and 13 EMA (slow) to identify trend channels ✅ Dynamic Support Detection: The tunnel acts as dynamic support during uptrends and resistance during downtrends ✅ Trend Confirmation: Price position relative to the tunnel helps confirm the current market trend ✅ Entry/Exit Signals: Tunnel crossovers and price interactions provide clear trading signals ✅ Multi-Timeframe Compatible: Works effectively across various timeframes from scalping to swing trading
How It Works
The Vegas Tunnel EMA 8-13 operates on the principle that shorter-period EMAs react more quickly to price changes, creating a responsive tunnel system:
Bullish Tunnel: When 8 EMA > 13 EMA, the tunnel indicates an upward trend with potential support zones
Bearish Tunnel: When 8 EMA < 13 EMA, the tunnel indicates a downward trend with potential resistance zones
Tunnel Width: The distance between EMAs indicates trend strength and volatility
Price Interaction: Bounces off the tunnel boundaries suggest trend continuation, while breaks may signal reversals
Trading Applications
Trend Following: Use tunnel direction to align trades with the prevailing trend
Support/Resistance Trading: Enter long positions when price bounces off tunnel support, short when rejected at resistance
Breakout Strategy: Trade tunnel breaks as potential trend continuation or reversal signals
Risk Management: Use tunnel boundaries as dynamic stop-loss levels
Advantages Over Traditional Moving Averages
Reduced Noise: The tunnel system filters out minor price fluctuations
Visual Clarity: Easy identification of trend channels and key levels
Faster Response: 8-13 period combination provides quicker signals than longer-term systems
Versatile Application: Suitable for various trading styles and market conditions
Best Practices
Combine with volume analysis for stronger signal confirmation
Consider higher timeframe tunnel direction for context
Use proper risk management with position sizing
Backtest on your preferred instruments and timeframes
This indicator is ideal for traders seeking a clean, effective tool for trend analysis and dynamic support/resistance identification in fast-moving markets.
Smart Structure Breaks & Order BlocksOverview (What it does)
The indicator “Smart Structure Breaks & Order Blocks” detects market structure using swing highs and lows, identifies Break of Structure (BOS) events, and automatically draws order blocks (OBs) from the origin candle. These zones extend to the right and change color/outline when mitigated or invalidated. By formalizing and automating part of discretionary analysis, it provides consistent zone recognition.
Main Components
Swing Detection: ta.pivothigh/ta.pivotlow identify confirmed swing points.
BOS Detection: Determines if the recent swing high/low is broken by close (strict mode) or crossover.
OB Creation: After a BOS, the opposite candle (bearish for bullish BOS, bullish for bearish BOS) is used to generate an order block zone.
Zone Management: Limits the number of zones, extends them to the right, and tracks tagged (mitigated) or invalidated states.
Input Parameters
Left/Right Pivot (default 6/6): Number of bars required on each side to confirm a swing. Higher values = smoother swings.
Max Zones (default 4): Maximum zones stored per direction (bull/bear). Oldest zones are overwritten.
Zone Confirmation Lookback (default 3): Ensures OB origin candle validity by checking recent highs/lows.
Show Swing Points (default ON): Displays triangles on swing highs/lows.
Require close for BOS? (default ON): Strict BOS (close required) vs loose BOS (line crossover).
Use candle body for zones (default OFF): Zones drawn from candle body (ON) or wick (OFF).
Signal Definition & Logic
Swing Updates: Latest confirmed pivots update lastHighLevel / lastLowLevel.
BOS (Break of Structure):
Bullish – close breaks last swing high.
Bearish – close breaks last swing low.
Only one valid BOS per swing (avoids duplicates).
OB Detection:
Bullish BOS → previous bearish candle with lowest low forms the OB.
Bearish BOS → previous bullish candle with highest high forms the OB.
Zones: Bull = green, Bear = red, semi-transparent, extended to the right.
Zone States:
Mitigated: Price touches the zone → border highlighted.
Invalidated:
Bull zone → close below → turns red.
Bear zone → close above → turns green.
Chart Appearance
Swing High: red triangle above bar
Swing Low: green triangle below bar
Bull OB: green zone (border highlighted on touch)
Bear OB: red zone (border highlighted on touch)
Invalid Zones: Bull zones turn reddish, Bear zones turn greenish
Practical Use (Trading Assistance)
Trend Following Entries: Buy pullbacks into green OBs in uptrends, sell rallies into red OBs in downtrends.
Focus on First Touch: First mitigation after BOS often has higher reaction probability.
Confluence: Combine with higher timeframe trend, volume, session levels, key price levels (previous highs/lows, VWAP, etc.).
Stops/Targets:
Bull – stop below zone, partial take profit at swing high or resistance.
Bear – stop above zone, partial take profit at swing low or support.
Parameter Tuning (per market/timeframe)
Pivot (6/6 → 4/4/8/8): Lower for scalping (3–5), medium for day trading (5–8), higher for swing trading (8–14). Increase to reduce noise.
Strict Break: ON to reduce false breaks in ranging markets; OFF for earlier signals.
Body Zones: ON for assets with long wicks, OFF for cleaner OBs in liquid instruments.
Zone Confirmation (default 3): Increase for stricter OB origin, fewer zones.
Max Zones (default 4 → 6–10): Increase for higher volatility, decrease to avoid clutter.
Strengths
Standardizes BOS and OB detection that is usually subjective.
Tracks mitigation and invalidation automatically.
Adaptable: allows body/wick zone switching for different instruments.
Limitations
Pivot-based: Signals appear only after pivots confirm (slight lag).
Zones reflect past balance: Can fail after new events (news, earnings, macro data).
Range-heavy markets: More false BOS; consider stricter settings.
Backtesting: This script is for drawing/visual aid; trading rules must be defined separately.
Workflow Example
Identify higher timeframe trend (4H/Daily).
On lower TF (15–60m), wait for BOS and new OB.
Enter on first mitigation with confirmation candle.
Stop beyond zone; targets based on R multiples and swing points.
FAQ
Q: Why are zones invalidated quickly?
A: Flow reversal after BOS. Adjust pivots higher, enable Strict mode, or switch to Body zones to reduce noise.
Q: What does “tagged” mean?
A: Price touched the zone once = mitigated. Implies some orders in that zone may have been filled.
Q: Body or Wick zones?
A: Wick zones are fine in clean markets. For volatile pairs with long wicks, body zones provide more realistic areas.
Customization Tips (Code perspective)
Zone storage: Currently ring buffer ((idx+1) % zoneLimit). Could prioritize keeping unmitigated zones.
Automated testing: Add strategy.entry/exit for rule-based backtests.
Multi-timeframe: Use request.security() for higher timeframe swings/BOS.
Visualization: Add labels for BOS bars, tag zones with IDs, count touches.
Summary
This indicator formalizes the cycle Swing → BOS → OB creation → Mitigation/Invalidation, providing consistent structure analysis and zone tracking. By tuning sensitivity and strictness, and combining with higher timeframe context, it enhances pullback/continuation trading setups. Always combine with proper risk management.
ADX Tide ZonesADX Tide Zones – Adaptive Momentum & Trend Strength Framework
Overview
ADX Tide Zones – Professional is a dynamic trend-strength visualizer designed for traders who want to interpret momentum with precision and context. By combining the Average Directional Index (ADX) with adaptive threshold logic, the indicator segments price action into distinct “tide zones” that reflect varying levels of market strength: Calm, Rising, Strong, and Falling Tides. These zones transform raw ADX readings into an interpretable framework that highlights when markets are consolidating, building momentum, trending strongly, or losing strength.
Unlike standard ADX readings, which can be difficult to interpret in real time, ADX Tide Zones translate momentum shifts into a continuous, color-coded system that traders can instantly read. Whether applied to scalping, intraday, or swing trading, the indicator offers a consistent methodology for identifying actionable opportunities across assets and timeframes.
How It Works
The foundation of ADX Tide Zones lies in momentum analysis via the ADX. By measuring the strength (not direction) of a trend, ADX provides an objective read on when markets are gaining or losing energy. ADX Tide Zones enhances this by applying threshold logic to classify ADX values into four distinct states:
Calm Tide : Low ADX values indicate sideways or consolidating conditions.
Rising Tide : ADX increases past a threshold, signaling momentum building.
Strong Tide : ADX remains elevated, confirming robust and sustained trend strength.
Falling Tide : ADX declines after strength, hinting at exhaustion or early reversal setups.
These states are displayed on the chart through adaptive visualizations (zones, bar colors, or overlays), offering real-time clarity on when to expect expansion, continuation, or contraction in price action.
Interpretation
Trend Analysis : By mapping transitions between tides, traders can instantly gauge whether markets are in accumulation, expansion, or exhaustion phases. Rising/Strong Tides reinforce trend continuation, while Falling Tides highlight weakening conditions.
Volatility & Risk Assessment : Shifts between Calm → Rising Tide often precede volatility expansions. Falling Tides can signal a period of compression or corrective moves, warning traders to manage risk proactively.
Market Context : The indicator does not dictate direction; instead, it overlays strength on top of price action, allowing traders to combine it with directional tools such as moving averages, order blocks, or liquidity zones for confirmation.
Strategy Integration
ADX Tide Zones adapts seamlessly to a wide range of trading strategies by translating momentum dynamics into actionable frameworks:
Trend Following : Traders can align with dominant flows by entering positions when the indicator confirms a Rising Tide or Strong Tide. These conditions signal persistent directional strength, making them ideal for continuation setups. Combining directional bias with ADX confirmation reduces the risk of trading against prevailing momentum.
Breakout Trading : When the market transitions from Calm Tide into a Rising Tide, it often precedes a volatility expansion. This shift highlights breakout conditions where accumulation gives way to impulsive price movement. Traders can use this transition as a timing tool to catch early entries into new momentum phases.
Exhaustion Reversals : Strong Tide phases don’t last forever—when they begin to fade into Falling Tide, it can mark trend fatigue or liquidity exhaustion. This offers contrarian traders an early edge in spotting overextended moves and positioning for corrective pullbacks or full reversals.
Multi-Timeframe Analysis : By overlaying higher timeframe tide zones on intraday or scalping charts, traders can filter noise and trade in alignment with larger flows. For example, combining a daily Rising Tide bias with a 15-minute breakout confirmation can significantly improve entry precision while reducing exposure to false signals.
Advanced Techniques
For traders seeking an extra edge, ADX Tide Zones can be pushed further with advanced methods:
Volume & Liquidity Confirmation : Pair the tide transitions with volume spikes, order flow, or liquidity sweep tools. When directional strength confirmed by the ADX coincides with institutional activity, it validates setups and increases probability of follow-through.
Cross-Asset Synchronization : Momentum rarely exists in isolation. Monitoring tide shifts across correlated instruments (e.g., majors vs. USD, or indices vs. risk assets) can uncover synchronized volatility events. These correlations help traders identify whether a move is isolated noise or part of a broader systemic trend.
Threshold Optimization : The sensitivity of ADX Tide Zones can be fine-tuned for different trading objectives. Lower thresholds heighten responsiveness, capturing micro-moves suitable for scalpers. Higher thresholds filter minor fluctuations, isolating major structural swings that align with swing or position trading.
Contextual Trade Management : Instead of using static stops or targets, traders can adapt risk management dynamically by tracking tide progression. For example, a trade initiated during Rising Tide may remain valid as long as conditions sustain, but partial profits or tighter stops can be applied once the zone shifts to Calm Tide.
Inputs & Customization
ADX Length : Define the lookback period for ADX calculation.
Threshold Levels : Adjust sensitivity for Calm, Rising, Strong, and Falling Tides.
Zone Visualization : Choose between bar coloring, background shading, or overlays.
Color Customization : Configure bullish, bearish, neutral, and tide-specific colors.
Multi-Timeframe Options : Enable tide readings from higher timeframes for confirmation.
Why Use ADX Tide Zones
ADX Tide Zones turns the complexity of momentum analysis into a visual system that highlights when markets are gearing up for moves, trending with conviction, or running out of steam. By combining adaptive ADX interpretation with customizable thresholds, traders can:
Anticipate breakouts before volatility expands.
Confirm the strength behind price trends.
Spot exhaustion phases early to secure profits or prepare for reversals.
Adapt strategies seamlessly between scalping, intraday, and swing trading.
With its balance of simplicity and depth, ADX Tide Zones provides a structured lens for reading market momentum, equipping traders with the clarity needed to execute with discipline and confidence.
Cloud FlipCloud Flip Indicator
Overview
The Cloud Flip Indicator is a trend-following technical analysis tool that visualizes market momentum through a dynamic cloud formation between two exponential moving averages (EMAs). It provides clear visual signals for trend direction changes and potential entry/exit points.
Key Features
1. Dynamic Cloud Visualization
Adaptive Cloud: A color-changing cloud that fills the space between fast and slow EMAs
Trend Clarity: Instantly identify bullish and bearish market conditions through color changes
Visual Depth: Optional shadow effects for enhanced chart readability
2. Dual EMA System
Fast EMA: Responsive to recent price movements (default: 20 periods)
Slow EMA: Captures longer-term trend direction (default: 50 periods)
Customizable Periods: Adjust both EMAs to match your trading style
3. Crossover Signals
Bullish Signals: Upward triangle (▲) when fast EMA crosses above slow EMA
Bearish Signals: Downward triangle (▼) when fast EMA crosses below slow EMA
Clear Entry Points: Visual markers appear directly on the chart at crossover points
4. Alert System
Real-time Notifications: Get alerted when crossovers occur
Customizable Alerts: Choose between bullish, bearish, or both signal types
Price Integration: Alert messages include the exact price at crossover
How It Works
The indicator operates on a simple yet effective principle:
Bullish Trend: When the fast EMA is above the slow EMA, the cloud turns green (customizable), indicating upward momentum
Bearish Trend: When the fast EMA is below the slow EMA, the cloud turns red (customizable), indicating downward momentum
Trend Changes: Crossovers between the EMAs signal potential trend reversals
Customization Options
Period Settings
Fast Period: Controls the responsiveness of the fast-moving average
Lower values (10-25): More sensitive to price changes, suitable for short-term trading
Higher values (25-50): Smoother signals, fewer false positives
Slow Period: Defines the longer-term trend
Typical range (50-200): Higher values for position trading
Lower values (30-50): For swing trading approaches
Visual Settings
Uptrend Color: Customize the bullish trend color
Downtrend Color: Customize the bearish trend color
Shadow Toggle: Enable/disable cloud transparency for cleaner charts
Alert Settings
Enable Alerts: Master switch for all notifications
Alert on Bullish Cross: Receive notifications for upward crossovers
Alert on Bearish Cross: Receive notifications for downward crossovers
Trading Applications
1. Trend Following
Enter long positions when the cloud turns bullish (green)
Enter short positions when the cloud turns bearish (red)
Use the cloud color as a trend filter for other strategies
2. Crossover Trading
Buy signals: When you see the upward triangle (▲)
Sell signals: When you see the downward triangle (▼)
Combine with volume or momentum indicators for confirmation
3. Support and Resistance
The slow EMA often acts as dynamic support in uptrends
The slow EMA often acts as dynamic resistance in downtrends
The cloud itself can act as a support/resistance zone
Best Practices
Multiple Timeframes: Use on multiple timeframes for confluence
Higher timeframes for trend direction
Lower timeframes for entry timing
Risk Management:
Don't rely solely on crossover signals
Use appropriate stop losses below/above the cloud
Consider the overall market context
Optimization:
Backtest different period combinations for your specific market
Adjust settings based on asset volatility
Consider market conditions (trending vs ranging)
Advantages
Clear Visual Signals: No ambiguity in trend direction
Reduced Noise: EMAs smooth out price fluctuations
Versatility: Works across all markets and timeframes
Simplicity: Easy to understand and implement
Limitations
Lagging Indicator: Based on moving averages, signals come after price moves
Whipsaws: Can generate false signals in ranging markets
No Predictive Power: Shows current trend, not future direction
Installation
Add the indicator to your TradingView chart
Adjust the period settings to match your trading style
Customize colors to your preference
Set up alerts if desired
Use in conjunction with your existing trading strategy
EMA + RSI Daily Bias Clarity Indi📊 EMA + RSI Daily Bias • Clarity Panel
This indicator is built for clarity, structure, and confidence in trading.
It combines EMAs, RSI, and a Daily Bias filter into one panel that helps you quickly understand trend, momentum, and alignment without cluttering your chart.
It does not provide signals or financial advice — instead, it simplifies your decision-making process by presenting conditions in a clear format.
🔧 Features
📈 Customizable EMAs (Fast & Slow)
Define short-term vs. medium-term trend direction.
Adjust the lengths for scalping, intraday, or swing trading.
🎯 RSI Integration
Tracks momentum on your active timeframe.
Highlights overbought (OB) and oversold (OS) conditions.
Used to filter entries and avoid chasing stretched moves.
🧭 Daily Bias (Higher Timeframe RSI)
Pulls RSI from the Daily chart (or chosen HTF).
Helps confirm if your local trade setup is aligned with higher timeframe momentum.
✨ Clarity Panel with Emojis
Displays Trend, HTF Bias, RSI reading, and State.
States include:
⏳ WAIT → No alignment or unclear conditions.
🟢 / 🔴 CONFIRM → Trend, RSI, and bias all align for a setup.
💰 COLLECT → RSI stretched to OB/OS, take partials or be cautious.
⚡ Optional Chart Markers
BUY/SELL labels appear when conditions align.
Alerts can be enabled for CONFIRM and COLLECT conditions.
💡 How to Use
Start with EMAs → Check if price is trending above or below EMAs to determine short-term direction.
Look at Daily Bias → See if RSI bias from higher timeframe (Daily by default) agrees with your local setup.
Check RSI → If RSI is neutral, WAIT. If RSI confirms momentum with trend + bias, CONFIRM. If RSI is stretched into OB/OS, COLLECT.
Use Panel for Quick Reads → The panel gives you a “dashboard” view of conditions so you don’t second-guess.
Combine with Your Own Strategy → This script is best used as a clarity filter to stay disciplined, not as a standalone signal generator.
📊 Example Workflow
Price above both EMAs ✅
Daily Bias shows BULL ✅
RSI at 62 (above midline, not yet overbought) ✅
→ Panel shows 🟢 CONFIRM → consider entering long.
Later, RSI rises to 72 (overbought) → Panel switches to 💰 COLLECT → take profits or tighten stops.
⚠️ Disclaimer
This script is for clarity and educational purposes only.
It does not provide financial advice, signals, or guaranteed profits.
Always use proper risk management and combine with your own trading plan.
ZLEMA Trend Index 2.0ZTI — ZLEMA Trend Index 2.0 (0–1000)
Overview
Price Mapped ZTI v2.0 - Enhanced Zero-Lag Trend Index.
This indicator is a significant upgrade to the original ZTI v1.0, featuring enhanced resolution from 0-100 to 0-1000 levels for dramatically improved price action accuracy. The Price Mapped ZTI uses direct price-to-level mapping to eliminate statistical noise and provide true proportional representation of market movements.
Key Innovation: Instead of statistical normalization, this version maps current price position within a user-defined lookback period directly to the ZTI scale, ensuring perfect correlation with actual price movements. I believe this is the best way to capture trends instead of directly on the charts using a plethora of indicators which introduces bad signals resulting in drawdowns. The RSI-like ZTI overbought and oversold lines filter valid trends by slicing through the current trading zone. Unlike RSI that can introduce false signals, the ZTI levels 1 to 1000 is faithfully mapped to the lowest to highest price in the current trading zone (lookback period in days) which can be changed in the settings. The ZTI line will never go off the beyond the ZTI levels in case of extreme trend continuation as the trading zone is constantly updated to reflect only the most recent bars based on lookback days.
Core Features
✅ 10x Higher Resolution - 0-1000 scale provides granular movement detection
✅ Adjustable Trading Zone - Customizable lookback period from 1-50 days
✅ Price-Proportional Mapping - Direct correlation between price position and ZTI level
✅ Zero Statistical Lag - No rolling averages or standard deviation calculations
✅ Multi-Strategy Adaptability - Single parameter adjustment for different trading styles
Trading Zone Optimization
📊 Lookback Period Strategies
Short-term (1-3 days):
Ultra-responsive to recent price action
Perfect for scalping and day trading
Tight range produces more sensitive signals
Medium-term (7-14 days):
Balanced view of recent trading range
Ideal for swing trading
Captures meaningful support/resistance levels
Long-term (21-30 days):
Broader market context
Excellent for position trading
Smooths out short-term market noise
⚡ Market Condition Adaptation
Volatile Markets: Use shorter lookback (3-5 days) for tighter ranges
Trending Markets: Use longer lookback (14-21 days) for broader context
Ranging Markets: Use medium lookback (7-10 days) for clear boundaries
🎯 Timeframe Optimization
1-minute charts: 1-2 day lookback
5-minute charts: 2-5 day lookback
Hourly charts: 7-14 day lookback
Daily charts: 21-50 day lookback
Trading Applications
Scalping Setup (2-day lookback):
Super tight range for quick reversals
ZTI 800+ = immediate short opportunity
ZTI 200- = immediate long opportunity
Swing Trading Setup (10-day lookback):
Meaningful swing levels captured
ZTI extremes = high-probability reversal zones
More stable signals, reduced whipsaws
Advanced Usage
🔧 Real-Time Adaptability
Trending days: Increase to 14+ days for broader perspective
Range-bound days: Decrease to 3 days for tighter signals
High volatility: Shorter lookback for responsiveness
Low volatility: Longer lookback to avoid false signals
💡 Multi-Timeframe Approach
Entry signals: Use 7-day ZTI on main timeframe
Trend confirmation: Use 21-day ZTI on higher timeframe
Exit timing: Use 3-day ZTI for precise exits
🌐 Session Optimization
Asian session: Shorter lookback (3-5 days) for range-bound conditions
London/NY session: Longer lookback (7-14 days) for trending conditions
How It Works
The indicator maps the current price position within the specified lookback period directly to a 0-1000 scale and plots it using ZLEMA (Zero Lag Exponential Moving Average) which has the least lag of the available popular moving averages:
Price at recent high = ZTI at 1000
Price at recent low = ZTI at 1
Price at mid-range = ZTI at 500
This creates perfect proportional representation where every price movement translates directly to corresponding ZTI movement, eliminating the false signals common in traditional oscillators.
This single, versatile indicator adapts to any market condition, timeframe, or trading style through one simple parameter adjustment, making it an essential tool for traders at every level.
Credits
ZLEMA techniques widely attributed to John Ehlers.
Disclaimer
This tool is for educational purposes only and is not financial advice. Backtest and forward‑test before live use, and always manage risk.
Please note that I set this as closed source to prevent source code cloning by others, repackaging and republishing which results in multiple confusing choices of the same indicator.
ORB with Golden Zone FIB targets, Any Timeframe by TenAMTraderDescription:
This indicator is designed to help traders identify key price levels using Fibonacci extensions and retracements based on the Opening Range Breakout (ORB). The levels are visualized as “Golden Zones”, which can serve as potential targets for trades.
Features:
Customizable ORB Timeframe: By default, the ORB is set from 9:30 AM to 9:45 AM EST, but any timeframe can be configured in the settings to fit your trading style.
Golden Zones as Targets: Fibonacci levels are intended to be used as potential profit-taking zones or areas to monitor for reversals, providing a structured framework for intraday and swing trading.
Adjustable Chart Settings: Color-coded levels make it easy to interpret at a glance, and all lines can be customized for personal preference.
Versatile Application: The indicator works across any timeframe, enabling traders to analyze both intraday and multi-day price action.
How to Use:
Ensure Regular Trading Hours (RTH) is enabled on your chart for accurate level calculation.
Observe price action near Golden Zones: a confirmed breakout may indicate continuation, while a pullback could signal a reversal opportunity.
Use the Golden Zones as reference targets for managing risk and planning exits.
Adjust the ORB timeframe and display settings to match your preferred trading style.
Legal Disclosure:
This indicator is provided for educational purposes only and is not financial advice. Trading carries a substantial risk of loss. Users should always perform their own analysis and consult a licensed financial professional before making any trading decisions. Past performance is not indicative of future results.
Swing Z | Zillennial Technologies Inc.Swing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align.
Core Concept
Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments.
Trend Structure (EMA 9, 21, 50, 200)
Short-term EMAs (9 & 21) detect immediate momentum shifts.
Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance.
Momentum & Confirmation Layer
RSI measures relative strength and market conditions.
MACD crossovers confirm momentum shifts and trend continuations.
Volatility & Market Pressure
TTM Squeeze highlights compression zones likely to precede breakouts.
Volume analysis confirms conviction behind directional moves.
VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks.
Price Action Filters
Fibonacci retracements are integrated to identify key reversal and continuation levels.
Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets.
Features
Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins).
Works effectively on swing and trend-based timeframes (1H–1D).
Combines trend, momentum, volatility, and price action into a single framework.
Generates clear Buy/Sell markers and integrates with TradingView alerts.
How to Use
Apply to a clean chart for the clearest visualization.
Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation.
Combine with your own stop-loss, take-profit, and position sizing rules.
Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results.
Disclaimer
Swing Z is designed as a decision-support tool, not financial advice.
All backtesting should use realistic risk, commission, and slippage assumptions.
Past results do not guarantee future performance.
Signals do not repaint but may adjust as new data develops in real-time.
Why Swing Z is original & useful:
Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
