Oscillatori
Trendax by JA - Estrategia con Alertas📌 Description – Trendax – Strategy with Alerts
This strategy combines multiple trend and strength indicators to generate optimized entry and exit signals for both long and short positions:
✅ Indicators used:
Adaptive EMA based on the selected timeframe
EMA 200 as a higher trend reference
RSI (7) to detect overbought/oversold conditions
ADX / DMI (14) to measure trend strength
📈 Long entry conditions:
Price above the adaptive EMA
Price near the EMA 200 (+/- 1.5%)
RSI below 32
-DI (diminus) greater than 29
📉 Short entry conditions:
Price below the adaptive EMA
Price near the EMA 200 (+/- 1.5%)
RSI above 68
+DI (diplus) greater than 29
🛑 Dynamic Stop Loss:
Long: based on the lowest low of the past 85 candles
Short: based on the highest high of the past 85 candles
🚪 Exit conditions:
Long exit: +DI >= 35 or bearish crossover of adaptive EMA with EMA 200
Short exit: -DI >= 35 or bullish crossover of adaptive EMA with EMA 200
🔔 Visualization:
Green and red arrows indicate entries
Green and red circles mark exits
Dynamically colored EMAs help identify the current trend
VWAP Separation Oscillator V5 (No Arrows)Okay, here is a draft description you can adapt for your TradingView publication. It starts from the basics and explains the concepts behind the indicator and how to interpret its visual elements.
VWAP Separation Oscillator
Summary
This indicator provides a normalized view of how far the current price has deviated from its Volume-Weighted Average Price (VWAP), helping traders identify potentially overbought or oversold conditions relative to recent VWAP dynamics. It calculates the price separation from VWAP and expresses it in terms of standard deviations (a Z-score), making it easier to gauge the statistical significance of the deviation.
Core Concepts Explained
What is VWAP?
VWAP stands for Volume-Weighted Average Price. It's a trading benchmark calculated by taking the total dollar value traded for every transaction (price multiplied by volume) and dividing it by the total shares traded for the day (or other chosen period).
Unlike a simple moving average, VWAP gives more weight to price levels where more volume occurred. Many institutional traders use it as a reference point for execution quality.
This indicator allows you to choose the "Anchor Period" (Session, Week, Month, etc.) which determines when the VWAP calculation resets.
What is VWAP Separation?
P
rice doesn't always stay at the VWAP; it naturally fluctuates above and below it.
"VWAP Separation" is simply the difference between the current price (Source) and the calculated VWAP value (Separation = Price - VWAP). A positive separation means the price is above VWAP; negative means below.
How Standard Deviation is Used:
While knowing the separation is useful, its significance can vary wildly between different stocks or market conditions. A $1 separation might be huge for one stock but tiny for another.
Standard Deviation is a statistical measure of how spread out data points are from their average. In this indicator, we calculate the standard deviation of the VWAP Separation over a specified Lookback Length. This tells us how volatile or dispersed the separation has been recently.
The Oscillator Line (Z-Score):
The main purple (or Green/Red) line plotted by this indicator is the Z-score of the VWAP Separation.
Formula conceptually: Oscillator Value = (Current Separation - Average Separation) / Standard Deviation of Separation
Interpretation: It tells you how many standard deviations the current separation is away from the average separation over the lookback period.
A value of +2.0 means the current separation is 2 standard deviations higher (more extended to the upside) than the average separation.
A value of -1.5 means the current separation is 1.5 standard deviations lower (more extended to the downside) than the average separation.
This normalization makes it easier to compare readings across different assets or timeframes and to define consistent thresholds for "extreme" deviations.
Visual Elements Explained
Oscillator Line: The primary line showing the Z-score value (explained above). Can optionally be colored Green/Red based on its slope (rising/falling).
Overbought Line (Solid Red): A user-defined level (default: 2.0). When the oscillator moves above this line, it suggests the price deviation above VWAP is statistically significant compared to recent history.
Oversold Line (Solid Green): A user-defined level (default: -2.0). When the oscillator moves below this line, it suggests the price deviation below VWAP is statistically significant compared to recent history.
Overbought/Oversold Zone Fills (Transparent Red/Green): These shaded areas appear only when the oscillator line enters the respective Overbought or Oversold territory (defined by the OB/OS Lines), visually highlighting these periods.
Zero Line (Dotted Gray): Represents the point where the current VWAP separation is exactly equal to the average VWAP separation over the lookback period. Crossings indicate shifts relative to this mean.
Zero Cross Markers (Orange 'X'): Small 'x' marks plotted directly on the oscillator line whenever it crosses the Zero Line, pinpointing these moments.
Potential Usage / Interpretation
Identifying Extremes: High positive values (above OB Level) or low negative values (below OS Level) can suggest the price move relative to VWAP might be over-extended and potentially due for a pause or pullback. Look for the oscillator turning back from these extremes.
Spotting Divergences: Look for discrepancies between price action and the oscillator.
Bearish Divergence: Price makes a new high, but the oscillator makes a lower high (often in the OB zone). Suggests weakening upside momentum relative to VWAP dynamics.
Bullish Divergence: Price makes a new low, but the oscillator makes a higher low (often in the OS zone). Suggests weakening downside momentum relative to VWAP dynamics.
Context is Key: This oscillator measures deviation from a specific benchmark (VWAP). Its interpretation should always be done within the context of the overall market trend, price structure (support/resistance), volume analysis, and potentially other confirming indicators.
Disclaimer: This indicator is a tool for analysis, not a standalone trading system. It does not provide financial advice. Always use risk management.
Settings Overview
Anchor Period: Determines how often the VWAP calculation resets (Session, Week, Month, etc.).
Source: The price data used for the separation calculation (default: hlc3).
Lookback Length: The number of bars used to calculate the average and standard deviation of the separation, influencing the oscillator's responsiveness.
Overbought/Oversold Levels: User-defined thresholds for identifying extreme Z-score values.
Color Oscillator Line: Option to color the oscillator line based on whether it's rising or falling.
Parabolic RSI [ChartPrime]The Parabolic RSI indicator applies the Parabolic SAR directly to the Relative Strength Index (RSI) . This combination helps traders identify trend shifts and potential reversal points within the RSI framework. The indicator provides both regular and strong signals based on whether the Parabolic SAR crosses above or below key RSI thresholds.
⯁ KEY FEATURES
Parabolic SAR Applied to RSI – Tracks momentum shifts within the RSI indicator.
Dynamic SAR Dots – Plots SAR levels directly on the RSI for visual clarity.
Threshold-Based Signal Filtering – Uses upper (70) and lower (30) RSI levels to determine strong signals.
Simple and Strong Signal System :
Big Diamonds (Strong Signals) – Appear when Parabolic SAR crosses above 70 or below 30 RSI, indicating potential reversals.
Small Diamonds (Regular Signals) – Appear when Parabolic SAR flips inside the RSI range, signaling weaker trend shifts.
Chart Overlay Signals – Highlights strong RSI-based trend shifts directly on the price chart.
Fully Customizable – Modify RSI length, SAR parameters, colors, and signal displays.
⯁ HOW TO USE
Look for strong signals (big diamonds) when SAR flips above 70 RSI (overbought) or below 30 RSI (oversold) for potential reversals.
Use regular signals (small diamonds) for minor trend shifts within the RSI range.
Combine with price action and other indicators to confirm entry and exit points.
Adjust the SAR acceleration factors to fine-tune sensitivity based on market conditions.
⯁ CONCLUSION
The Parabolic RSI indicator merges trend-following and momentum-based analysis by applying the Parabolic SAR to RSI. This allows traders to detect trend shifts inside the RSI space with an intuitive diamond-based signal system . Whether used alone or as part of a broader trading strategy, this indicator provides a clear and structured approach to identifying momentum reversals and potential trading opportunities.
Quantum Flow Navigator @DaviddTechQuantum Flow Navigator – DaviddTech
Precision Strategy Builder Powered by Adaptive Filters, Statistical Noise Reduction & Multi-Modal Confirmation
🚀 Bullish Signal : Enter when ALMA, FluxWave, and QuickSilver all confirm bullish trend, with high volume and valid noise filter state.
🔻 Bearish Signal : Enter short when all components align bearishly and filters validate the signal.
🚪 Exit : Automatically managed by dynamic SL/TP or indicator-based reversal logic.
✅ Overview & DaviddTech Methodology
Quantum Flow Navigator is an advanced, multi-component trading system engineered around the strict modular logic of the DaviddTech methodology .
It integrates every core component required for a fully rule-based and signal-driven strategy—baseline, confirmations, volume filter, exit system, and noise filter.
Designed for traders who demand structure, clarity, and data-backed decision-making on 15M, 1H, and 4H charts.
🔍 Indicator Components
Baseline: Adaptive ALMA Filter
Smooth and responsive dynamic trend detection, with momentum validation and optional filled zones for enhanced visual feedback.
Confirmation #1: FluxWave Oscillator
Developed from an enhanced Trendlio concept by @dudeowns , FluxWave uses ALMA-smoothed rate-of-change logic with configurable signal behavior.
Confirmation #2: QuickSilver Band System
Custom breakout engine that maps volatility envelopes using multi-layered deviation bands for clear confirmation of structure breaks and trend direction.
Volume Filter: Normalized Volume Energy
Innovative volume filter inspired by @ceyhun 's work. Filters trades by classifying energy into High, Normal, or Low based on normalized volume context.
Exit System: Dynamic Momentum Stop Loss
Choose from Smart Adaptive, Trailing, Stepped, Percentage, ATR, or Volatility-adjusted logic. Supports TP via risk/reward, ATR multiples, or percentage targets.
Noise Filtration: Quantum Statistical Noise Reduction
Fuses Kalman smoothing with wavelet decomposition to eliminate non-signal noise and improve trade quality and confidence.
🎨 Visual System & Dashboard
🚀/🔻/🚪 Emoji Labels : Buy, sell, and exit trades clearly marked for instant recognition.
Color-Shifting Bars : Reflect FluxWave’s trend bias in real-time.
ALMA Fill Zone : Visual trend envelope between price and ALMA baseline.
QuickSilver Bands : Volatility envelopes with graduated depth for support/resistance awareness.
SL & TP Visuals : Dynamic stop-loss and take-profit zones plotted directly on chart.
Navigator Panel : In-chart dashboard displays real-time trend status, volume energy, noise filter state, signal strength, and active position tracking.
📈 How to Trade with It
Entry Mode Selection : Choose between Combined, ALMA, FluxWave, QuickSilver, or Custom scoring logic.
Final Signals : Trigger only when confirmations align, volume energy is valid, and noise is low.
Dashboard Summary : Use real-time signal display to validate entry strength.
Timeframes : 15M–1H recommended for swing/intraday setups; 5M–15M for automation.
💡 Advanced Features
Entry Strength Scoring: Composite weight of all active components + filters.
Cooldown System: Limits excessive signals in volatile periods.
Multiple Exit Strategies: SL & TP modes with optional indicator-based exits.
Statistical Filtering: Wavelet + Kalman combination optimizes entry confidence.
Full Alert Suite: Covers entries, exits, filter triggers, volume states, and more.
🧠 Suggested Strategy Usage
Wait for full confirmation from ALMA, FluxWave, and QuickSilver.
Ensure volume energy is High and noise filter confirms trend clarity.
Use adaptive SL/TP or indicator-based exits.
Monitor dashboard for live signal strength ≥ threshold.
Use “Balanced” mode for general use; switch to “Aggressive” for tighter signals.
📝 Credits & Originality
Concept based on DaviddTech’s component-driven methodology .
FluxWave Oscillator built as an evolved version of Trendlio with full signal customization — credit @dudeowns .
Volume Energy Filter adapted from the work of @ceyhun .
Noise filtration and system architecture developed independently using Pine Script v6.
All code and logic is original, non-rehashed, and completely refactored to ensure uniqueness.
Quantum Flow Navigator fuses adaptive baselines, confirmation logic, energy-based filters, and statistical refinement into a precision signal engine—optimized for traders who value structure, clarity, and control.
Super Oscillator - Monastrell [hamgkia]The Monastrell tool is an oscillator designed designed to track directional price movement adjusted by volume and normalized by volatility. It dynamically calculates overbought and oversold thresholds using percentiles and adapts to market conditions through trend bias and threshold smoothing.
Built with a layered, modular logic structure, the Monastrell Oscillator offers powerful analytical capabilities for both discretionary and algorithmic traders.
🔶 WHAT'S INCLUDED
Oscillator based on smoothed price change enhanced by a volume deviation factor.
Normalization through ATR to adapt readings across assets and timeframes.
Trend bias factor adjusts oscillator vertically depending on short- vs long-term EMA drift.
Overbought/Oversold zones determined by interpolation and smoothed via EMA.
Color-coded oscillator line indicating current state: green (above upper), red (below lower), gray (neutral).
Optional signal labels at key threshold crossings.
Optional informational label displaying live oscillator value, thresholds, and signal confidence.
Signal strength score based on distance to thresholds and threshold positioning.
Built-in alert conditions for 4 types of transitions.
🔷 HOW IT WORKS
Oscillator
The oscillator measures the smoothed difference between current and previous close prices, then scales this by the relative increase or decrease in volume compared to its average. This gives more weight to moves backed by participation.
Normalization
The result is normalized using ATR, turning the oscillator into a scale-independent metric. Then, trend bias is applied — calculated by comparing short- and long-term EMA slopes — shifting the oscillator up or down during trending environments.
Thresholds
Dynamic threshold levels are not static: they are calculated using percentile ranges over the lookback window. This ensures overbought and oversold zones reflect current volatility and price dynamics, rather than using fixed bands.
Signal Strength
Each bar is evaluated in relation to these adaptive thresholds, triggering label plots and alerts if conditions are met. In addition, the oscillator computes a real-time signal strength value that evaluates how actionable a signal is based on multiple internal metrics.
Labels
Stop SELL (L1) — Crossing above the oversold zone.
Stop BUY (L1) — Crossing below the overbought zone.
BUY and TP (L2) — Re-entering from below oversold.
SELL and TP (L2) — Re-entering from above overbought.
These label events are also available as alert conditions.
A dynamic scoring system rates the quality of the current signal based on:
Distance from the nearest threshold.
Width of the threshold channel.
Offset of thresholds relative to neutral zero level.
This produces a signal strength value categorized as:
💭 Weak
🔆 Average
🚀 Strong
If information label is enabled, the score and structure are displayed as a floating label on the chart.
🔶 USAGE
New signals appears when Oscillator crossing overbought/oversold zones.
L1 signals gives you advise what NOT TO DO .
L2 signals gives you advise what TO DO .
If you draw channels using my hint - you will have a very good SL level and potential TP1 level:
The indicator showed impressive results on the emulator in two formats:
1. With trailing stops.
2. With preset TP/SL, as I drew on the chart.
Tips
If the upper/lower threshold band is far from zero (> 0.3 & < -0.3), it often indicates trend exhaustion.
You can adjust Trend Bias Influence to control how sensitive the oscillator is to trend direction.
Use Signal Strength for confidence scoring or to gate trades in automation.
Draw channels, this will help to set SL and TP .
Fix profits before the trend reverses and drags you into minus, this indicator is more suitable for trades with clear ranges.
Directional RSI Signal MapDirectional RSI Signal Map
This script analyzes RSI values across four different timeframes to detect market bias (bullish, bearish, or neutral) and trend direction. It generates:
Green up arrows for bullish signals (bias and trend are both bullish)
Red down arrows for bearish signals (bias and trend are both bearish)
Green circles when trend is bullish but bias is neutral
Red circles when trend is bearish but bias is neutral
You can adjust RSI levels, timeframes, and choose whether to enable the RSI filter. Alerts are included for the main bullish/bearish signals.
Triple StochasticTriple Stochastic Elasticity Indicator
This custom indicator leverages the power of multi-timeframe analysis by combining three Stochastic Oscillators across different timeframes to identify potential trade entries based on elasticity and divergence between momentum curves.
📊 How It Works:
The indicator plots Stochastic values from three timeframes (e.g., 5m, 15m, and 1h), allowing you to observe how momentum behaves at different scales.
It highlights moments of elasticity—where the Stochastics stretch apart and then begin to converge—potentially signaling a reversion opportunity or trend continuation.
By identifying these stretches and snapbacks in momentum alignment, you can better time your entries and exits with improved confidence.
🔍 Use Case:
Look for divergence or convergence between the Stochastics.
Ideal for trend-following entries, pullback setups, and momentum reversal spotting.
Works best when combined with price action, S/R zones, or volume confirmation.
🛠 Customization:
Timeframes for each Stochastic are fully customizable.
Options to tweak %K, %D, and smoothing values to fit your strategy.
I recommend to remove the D%
And set the following settings
5 : 3 : 3
14 : 3 : 3
56 : 12 :12
Visual alerts can be added for when certain conditions are met (e.g., all three Stochs cross overbought/oversold levels).
RSI Multi-Timeframe StatusThis multi-timeframe RSI status indicator provides a comprehensive overview of RSI conditions across four different timeframes (1-minute, 5-minute, 15-minute, and 1-hour) in a clean, organized table format.
The indicator features:
1. **Multi-timeframe RSI Analysis**: Tracks RSI values across four timeframes simultaneously
2. **RSI Trend Detection**: Shows whether each RSI is rising or falling compared to previous bars
3. **Visual Status Indicators**: Color-coded cells instantly show bullish (green), bearish (red), or neutral (gray) conditions
4. **Momentum Tracking**: Displays the numerical change in RSI values to show strength of momentum
5. **Summary Row**: Provides an at-a-glance overview of the overall market bias and trend direction
6. **Configurable Parameters**: Adjustable RSI length, threshold levels, and momentum period
The indicator is designed to help traders identify potential trade setups where multiple timeframes align in the same direction. When more timeframes show similar conditions (all bullish or all bearish) with consistent trend direction (all rising or all falling), it can signal stronger potential trade opportunities.
The status table appears in the top-right corner of your chart and updates in real-time, allowing you to monitor multi-timeframe RSI conditions without switching between timeframes.
Fourier Smoothed Volume Zone OscillatorIntroduction
The "Fourier Smoothed Volume Zone Oscillator" is an advanced technical analysis tool designed for traders on the TradingView platform. Its primary purpose is to help traders identify overbought and oversold conditions in the market by analyzing volume and price data through a unique combination of Fourier smoothing and oscillator techniques. By leveraging the Fast Fourier Transform (FFT) to smooth the input data and integrating a dynamically adjusted Volume Zone Oscillator (VZO), this indicator provides clear visual signals for potential trend reversals and market extremes. It is particularly useful for traders looking to enhance their decision-making process with precise, noise-reduced signals in volatile or trending markets.
Key Features
Fourier Transform Smoothing: Utilizes the Fast Fourier Transform (FFT) to smooth the input data, reducing market noise and highlighting significant price movements.
Dynamic EMA Adjustment: Adjusts the smoothing period of the VZO based on market conditions, ensuring the oscillator remains responsive to changes in momentum.
White Noise Calculation: Incorporates Ehler's Universal Oscillator to filter out white noise, providing a cleaner signal for trend analysis.
Customizable Color Themes: Offers a variety of color schemes (e.g., Synthwave, Outrun, Lush) to suit user preferences and enhance visual clarity.
Overbought/Oversold Zone Visualization: Uses gradient-filled zones and optional arrow markers to clearly indicate overbought and oversold conditions on both the oscillator and price chart.
How It Works
The "Fourier Smoothed Volume Zone Oscillator" combines several advanced techniques to deliver a refined view of market conditions:
Fourier Transform (FFT): The indicator applies the FFT to the selected input source (default: close price) over a user-defined period (default: 3). This transformation smooths the data by extracting its frequency components, reducing short-term noise while preserving significant trends. The smoothed data is then processed using a rational quadratic kernel for further refinement.
White Noise Filtering: Using Ehler's Universal Oscillator, the indicator calculates a white noise component to filter out irrelevant price fluctuations. This helps isolate meaningful market movements and improves the accuracy of the VZO.
Volume Zone Oscillator (VZO): The VZO is calculated by comparing the weighted moving average of volume (adjusted by the sign of price changes) to the simple moving average of volume. This oscillator highlights periods of accumulation (positive values) and distribution (negative values). The VZO is further smoothed using a dynamically adjusted Exponential Moving Average (EMA), which adapts based on the alignment between the Universal Oscillator and the VZO's trend.
Dynamic Smoothing: The EMA length for smoothing the VZO is adjusted dynamically based on whether the Universal Oscillator and VZO are in agreement. When both indicators suggest the same market direction, the EMA length increases for smoother signals. When they diverge, the EMA length decreases to make the VZO more responsive to potential reversals.
Visual Representation: The indicator plots the VZO and its lagged version, with color changes indicating momentum shifts. Gradient-filled zones highlight overbought (default: above 60) and oversold (default: below -60) conditions. Users can choose to display either small arrow markers on the price chart or background color highlights to indicate these zones. Additionally, diamond-shaped markers on the VZO plot signal crossovers and crossunders, providing further insight into momentum changes.
These elements work together to offer traders a clear and actionable view of market conditions, helping them identify potential entry and exit points with greater confidence.
Conclusion
The "Fourier Smoothed Volume Zone Oscillator" is a powerful tool for traders seeking to navigate market extremes with precision. By combining Fourier smoothing, dynamic EMA adjustment, and white noise filtering, it delivers noise-reduced signals that are both clear and responsive. Its customizable visualizations—ranging from color themes to overbought/oversold indicators—make it adaptable to various trading styles and preferences. Whether used for identifying reversals in trending markets or spotting accumulation and distribution phases, this indicator provides valuable insights to support informed trading decisions.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading involves significant risk, and users should conduct their own research and analysis before making any trading decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
Bitcoin Full Cycle ValuationIntroduction
The "Bitcoin Full Cycle Valuation" is a sophisticated TradingView indicator designed to provide traders and analysts with a comprehensive view of Bitcoin's market conditions. By integrating a diverse set of fundamental and technical indicators, this tool calculates Z-scores to assess whether Bitcoin is overbought, oversold, or in a neutral state. Its primary purpose is to assist users in making informed trading decisions by offering a multi-dimensional evaluation of Bitcoin's valuation, leveraging on-chain data, market sentiment, and technical analysis.
Key Features
Multi-Dimensional Valuation: Combines a wide array of indicators, including MVRV, Bitcoin Thermocap, NUPL, CVDD, SOPR, RSI, CCI, Normalized Moving Averages, Sharpe Ratio, Pi Cycle, NHPF, and VWAP, to deliver a holistic perspective on Bitcoin's market state.
Z-Score Calculation: Normalizes each indicator into a Z-score, enabling standardized comparisons across different metrics and timeframes.
Customizable Visualization: Allows users to select which Z-score to plot (e.g., MVRV, RSI, Average Z-Score) and adjust parameters for each indicator to align with their analysis preferences.
Dynamic Table Display: Presents a detailed table with Z-scores, market conditions (e.g., OverBought, OverSold), and Rate of Change (ROC) for each indicator, enhanced with fixed-width bars for quick visual interpretation.
Bar Coloring and Background Effects: Colors the chart’s price bars based on the selected Z-score and uses background gradients to highlight extreme market conditions, improving visual clarity.
How It Works
The "Bitcoin Valuation Model | Opus" calculates Z-scores for a variety of indicators, each designed to capture distinct aspects of Bitcoin’s market dynamics. These Z-scores are derived using user-defined parameters for smoothing, mean, and scale, offering flexibility for different trading strategies. Below is an overview of the indicators and their roles:
Fundamental Indicators
MVRV (Market Value to Realized Value): Evaluates whether Bitcoin is overvalued or undervalued compared to its realized price, using on-chain data from IntoTheBlock.
Bitcoin Thermocap: Assesses Bitcoin’s price relative to the cumulative cost of mining, normalized over time, starting from January 1, 2012.
NUPL (Net Unrealized Profit/Loss): Measures the overall profit or loss of Bitcoin holders, sourced from Glassnode and CoinMetrics data.
CVDD (Cumulative Value Days Destroyed): Analyzes coin age destruction to infer market tops and bottoms, incorporating volume and market cap data.
SOPR (Spent Output Profit Ratio): Indicates whether spent coins are in profit or loss, providing insight into holder behavior.
Technical Indicators
RSI (Relative Strength Index): Measures the speed and change of price movements to identify overbought or oversold conditions.
CCI (Commodity Channel Index): Detects cyclical trends in Bitcoin’s price movements.
Normalized Moving Averages: Combines multiple moving averages (SMA, EMA, WMA, Median, DEMA) to evaluate trend strength.
Sharpe Ratio: Assesses risk-adjusted returns over a user-defined period.
Pi Cycle: Uses long and short moving averages to detect potential market tops.
NHPF (Normalized Hodrick-Prescott Filter): Applies a filter to separate trend and cycle components of Bitcoin’s price.
VWAP (Volume-Weighted Average Price): Tracks the average price weighted by volume, reset daily.
Z-Score Calculation and Aggregation
Each indicator’s Z-score is calculated by normalizing its raw value against a subjective mean and scale, often smoothed with moving averages or other techniques. The indicator then computes three composite Z-scores:
Fundamental Z-Score: Average of MVRV, Bitcoin Thermocap, NUPL, CVDD, and SOPR.
Technical Z-Score: Average of RSI, CCI, Normalized Moving Averages, Sharpe Ratio, Pi Cycle, NHPF, and VWAP.
Average Z-Score: Average of all twelve indicators.
Visualization
The indicator offers several visualization options:
Plotted Lines and Areas: Users can plot a selected Z-score, with color gradients indicating overbought (pink) or oversold (cyan) conditions.
Horizontal Lines: Reference thresholds at ±1, ±2, and ±3 to gauge the magnitude of Z-scores.
Background Gradients: Highlight extreme conditions when Z-scores exceed user-defined thresholds (e.g., ±2), with dynamic opacity.
Bar Coloring: Optionally colors price bars based on the selected Z-score for rapid visual reference.
Table Display: A customizable table shows each indicator’s Z-score, market condition (e.g., "OverBought," "Slightly OS"), and ROC over a user-defined period (default 7 days), with fixed-width bars for Z-score magnitude.
Conclusion
The "Bitcoin Full Cycle Valuation" is a robust tool for traders and analysts aiming to understand Bitcoin’s market dynamics through a data-driven lens. By aggregating and normalizing a diverse set of indicators into Z-scores, it offers a clear, comprehensive view of Bitcoin’s valuation—whether overvalued, undervalued, or fairly priced. Its customizable settings and rich visualizations make it adaptable to various trading styles, providing valuable insights for both short-term and long-term strategies.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk, and users should conduct their own research and analysis before making decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
EquanimIntroduction
The "Equanim" indicator is a versatile tool designed for traders and analysts on the TradingView platform. It utilizes Z-scores to help identify market trends and potential overbought or oversold conditions. By providing clear signals through crossovers and extreme Z-score values, this indicator aims to enhance traders' ability to make informed decisions in various market environments. Whether used for trend following or spotting potential reversal points, "Equanim | Opus" offers valuable insights into market dynamics.
Key Features
Dual Z-Score Calculation:The indicator computes both a raw Z-score and a smoothed Z-score, allowing users to analyze both immediate market deviations and longer-term trends.
Trend Identification:Users can identify potential trend changes or continuations through crossovers of the zero line and between the raw and smoothed Z-scores.
Overbought/Oversold Detection:Extreme Z-score values can indicate when the market may be overextended, potentially signaling reversal opportunities.
Customizable Visualization:While the focus is on functionality, the indicator also offers various color themes to suit user preferences, ensuring a comfortable and intuitive experience.
How It Works
The "Equanim" indicator calculates a raw Z-score (z1) by averaging two Z-score functions and then computes a smoothed Z-score (z2) using a 10-period simple moving average of a scaled version of z1. These calculations provide the foundation for identifying trends and overbought/oversold conditions.
Trend Identification:
Zero Line Crossover: When the raw Z-score crosses above the zero line, it may indicate the start of an uptrend. Conversely, a cross below the zero line could signal the beginning of a downtrend.
Z-Score Crossover: When the raw Z-score crosses above the smoothed Z-score, it might suggest strengthening momentum in the current trend. A cross below the smoothed Z-score could indicate weakening momentum or a potential trend reversal.
Overbought/Oversold Conditions:
Overbought: High positive values of the Z-score (e.g., above 1.8) may indicate overbought conditions, suggesting a potential pullback or reversal.
Oversold: Low negative values (e.g., below -1.5) could signal oversold conditions, potentially leading to a bounce or reversal.
The indicator includes plots and filled areas that provide visual cues to these conditions:
A horizontal zero line serves as a reference for identifying positive or negative deviations.
The raw Z-score plot changes color based on its value, highlighting different market states.
The smoothed Z-score plot uses a color gradient to indicate the strength and direction of the trend.
Filled areas between the plots and the zero line visually represent the magnitude and direction of deviations, aiding in quick interpretation.
These visual elements work together to offer users a clear and intuitive way to interpret market conditions and potential trading signals.
Conclusion
The "Equanim" indicator offers traders a powerful tool for identifying trends and potential reversal points through its innovative use of Z-scores. By combining raw and smoothed Z-scores, it provides insights into both short-term market movements and longer-term trends. Whether used for trend following or identifying overbought/oversold conditions, this indicator can be a valuable addition to any trader's toolkit, enhancing their ability to make informed and confident trading decisions.
Disclaimer
This indicator is provided for informational and educational purposes only and should not be considered as financial advice. Users should conduct their own research and analysis before making any trading decisions. The creator of this indicator is not responsible for any financial losses or gains that may result from its use.
Akshay - TheOne, TheMostWanted, TheUnbeatable, TheEnd➤ All-in-One Solution (❌ no repaint):
This Technical Chart contains, MA20 Condition (Based on MA24), Supertrend Indicator, HalfTrend Signal, Ichimoku Cloud Status, Parabolic SAR (P_SAR), First 5-Minute Candle Analysis (ORB5min), Volume-Weighted Moving Average (VWMA), Price-Volume Trend (PVT), Oscillator Composite, RSI Condition, ADX & Trend Strength.
Technicals don't lie.
🚀 Overview and Key Features
Comprehensive Multi-Indicator Approach:
The script is built to be an all-in-one technical indicator on TradingView. It integrates several well-known indicators and overlays—including Supertrend, HalfTrend, Ichimoku Cloud, various moving averages (EMA, SMA, VWMA), oscillators (Klinger, Price Oscillator, Awesome Oscillator, Chaikin Oscillator, Ultimate Oscillator, SMI Ergodic Oscillator, Chande Momentum Oscillator, Detrended Price Oscillator, Money Flow Index), ADX, and Donchian Channels—to create a composite picture of market sentiment.
Signal Generation and Alerts:
It not only calculates these indicators but also aggregates their output into “Master Candle” signals. Vertical lines are drawn on the chart with corresponding alerts to indicate potential buy or sell opportunities based on robust, combined conditions.
Visual Layering:
Through the use of colored histograms, custom candle plots, trend lines, and background color changes, the script offers a multi-layered visual representation of data, providing clarity about both short-term signals and overall market trends.
⚙️ How It Works and Functionality
MA20 Condition (Based on MA24):
Uses the 24-period moving average as a proxy; if the price is above it, the bar is colored green, and red if below, with neutrality when conditions aren’t met.
Supertrend Indicator:
Evaluates price relative to the Supertrend level (calculated via ATR), coloring green when price is above it and red when below.
HalfTrend Signal:
Determines trend shifts by comparing the current close to a calculated trend level; green indicates an upward trend, while red suggests a downtrend.
Ichimoku Cloud Status:
Analyzes the relationship between the Conversion and Base lines; a bullish (green) signal is given when price is above both or the Conversion line is higher than the Base line.
Parabolic SAR (P_SAR):
Colors the signal based on whether the current price is above (green) or below (red) the Parabolic SAR marker, indicating stop and reverse conditions.
First 5-Minute Candle Analysis (ORB5min):
Uses key levels from the first 5-minute candle; if price exceeds the candle’s low, VWAP, and MA, it’s bullish (green), otherwise bearish (red).
Volume-Weighted Moving Average (VWMA):
Compares the current price to volume-weighted averages; a price above these levels is shown in green, below in red.
Price-Volume Trend (PVT):
Determines bullish or bearish momentum by comparing PVT to its VWAP—green when above and red when below.
Oscillator Composite:
Aggregates signals from multiple oscillators; a majority of positive results turn it green, while negative dominance results in red.
RSI Condition:
Uses a simple RSI threshold of 50, with values above signifying bullish (green) momentum and below marking bearish (red) conditions.
ADX & Trend Strength:
Reflects overall trend strength through ADX and directional movements; a combination favoring bullish conditions colors it green, with red signaling bearish pressure.
Master Candle Overall Signal:
Combines multiple indicator outputs into one “Master” signal—green for a consensus bullish trend and red for a bearish outlook.
Scalp Signal Variation:
Focused on short-term price changes, this signal adjusts quickly; green indicates improving short-term conditions, while red signals a downturn.
📊 Visualizations and 🎨 User Experience (❌ no repaint)
Dynamic Histograms & Bar Plots:
Each indicator is represented as a colored bar (with added vertical offsets) to facilitate easy comparison of their respective bullish or bearish contributions.
Clear Color-Coding & Labels:
Green (e.g., GreenFluorescent) indicates bullish sentiment.
Red (e.g., RedFluorescent) indicates bearish sentiment.
Custom labels and descriptive text accompany each bar for clarity.
Interactive Charting:
The overall background color adapts based on the “Master Candle” condition, offering an instant read on market sentiment.
The current candlestick is overlaid with color cues to reinforce the indicator’s signal, enhancing the trading experience.
Real-Time Alerts:
Vertical lines appear on signal events (buy/sell triggers), complemented by alerts that help traders stay on top of actionable market moves.
Sharp lines:
The Sharp lines are plotted based upon the EMA5 cross over with the same market trend, marks this as good time to reentry.
🔧 Settings and Customization
Flexible Timeframe Input:
Users can select their preferred timeframe for analysis, making the indicator adaptable to intraday or longer-term trading styles.
Customizable Indicator Parameters:
➤ Supertrend: Adjust ATR length and multiplier factors.
➤ HalfTrend: Tweak amplitude and channel deviation settings.
➤ Ichimoku Cloud & Oscillators: Fine-tune the conversion/base lines and oscillator lengths to match individual trading strategies.
Visual Customization:
The script’s color schemes and plotting styles can be altered as needed, giving users the freedom to tailor the interface to their taste or existing chart setups.
🌟 Uniqueness of the Concept
Integrated Multi-Indicator Synergy:
Combines a diverse range of trend, momentum, and volume-based indicators into a single cohesive system for a holistic market view.
Master Candle Aggregation:
Consolidates numerous individual signals into a "Master Candle" that filters out noise and provides a clear, consensus-based trading signal.
Layered Visual Feedback:
Uses color-coded histograms, adaptive background cues, and dynamic overlays to deliver a visually intuitive guide to market sentiment at a glance.
Customization and Flexibility:
Offers adjustable parameters for each indicator, allowing users to tailor the system to fit diverse trading styles and market conditions.
✅ Conclusion:
Robust Trading Tool & Non-Repainting Reliability:
This versatile technical analysis tool computes an extensive range of indicators, aggregates them into a stable, non-repainting “Master Candle” signal, and maintains consistent, verifiable outputs on historical data.
Holistic Market Insight & Consistent Signal Generation:
By combining trend detection, momentum oscillators, and volume analysis, the indicator delivers a comprehensive snapshot of market conditions and generates dependable signals across varying timeframes.
User-Centric Design with Rich Visual Feedback:
Customizable settings, clear color-coded outputs, adaptive backgrounds, and real-time alerts work together to provide actionable, transparent feedback—enhancing the overall trading experience.
A Unique All-in-One Solution:
The integrated approach not only simplifies complex market dynamics into an easy-to-read visual guide but also empowers systematic traders with a powerful, adaptable asset for accurate decision-making.
❤️ References for study:
Pine Script™ User Manual
Supertrend
HalfTrend
Ichimoku Cloud
Parabolic SAR
Price Volume Trend (PVT)
Average Directional Index (ADX)
Volume Oscillator
ATS ORB Sessions and FVGThe ATS ORB Sessions and FVG TradingView Indicator is designed to help traders identify key market sessions, monitor opening ranges (ORB), and track Fair Value Gaps (FVG). It provides visual cues and alerts for different market sessions (New York, London, and Asian), highlights opening ranges for up to three timeframes, and marks areas where price imbalances (gaps) occur.
Key Features:
Market Sessions: It tracks and marks the New York, London, and Asian trading sessions on the chart. The start of each session is highlighted with color-coded backgrounds and text labels.
Opening Ranges (ORB): The indicator calculates the high and low of the opening range for specified timeframes (ORB 1, ORB 2, ORB 3). These levels are drawn on the chart, and risk-to-reward levels (T1, T2) are automatically calculated and displayed.
Fair Value Gaps (FVG): The indicator identifies price imbalances, creating bullish and bearish gaps between candles. When such gaps occur, they are highlighted with colored boxes. These boxes represent potential areas of price reversal or continuation.
Alerts: The indicator sets up alerts based on crossing key levels like the ORB high/low or FVG boundaries, notifying traders when important price actions occur.
Visual Elements: The tool offers several visual aids like colored boxes, lines, and labels, making it easy to spot market session boundaries, ORB ranges, and FVGs.
In short, the indicator is an advanced tool that provides a comprehensive view of market behavior by combining session tracking, opening range analysis, and price imbalance detection, with customization and alerts for optimal decision-making.
Directional Deviation Index (DDI)Directional Deviation Index (DDI) is a streamlined, adaptive indicator for analyzing market cycles, detecting trend direction, and gauging momentum. By measuring how far price deviates from a smoothed average, the DDI adapts dynamically to both bullish and bearish conditions.
Key Features:
Unified Smoothing: Choose SMA or EMA for consistent, predictable signals.
Log Scale: Focus on percentage-based moves—ideal for volatile or higher-priced assets.
Adaptive Trend Levels: Auto-adjust uptrend/downtrend thresholds based on market volatility.
Momentum Visualization: Transparent color fills (green for uptrends, red for downtrends) that intensify with stronger deviations.
Customizable Sensitivity: Fine-tune uptrend and downtrend settings to suit any trading style.
Simple Alerts & Status Line: Get notified on key crossovers and track real-time price without chart clutter.
Comparison to Similar Indicators:
Bollinger Bands: Both use deviations from a moving average, but the DDI emphasizes directional momentum and adaptive threshold levels rather than fixed bands.
RSI/Stochastics: While these oscillators focus on overbought or oversold conditions, the DDI tracks how far price strays from its average, giving a clearer picture of trend strength.
MACD: MACD is built on EMA crossovers, whereas the DDI highlights deviations from a mean and adapts more directly to volatility changes.
Use the DDI to identify trend strength, spot potential reversals, and monitor evolving market conditions across stocks, crypto, forex, and beyond. It’s a versatile yet concise tool for traders seeking faster, more confident decisions.
Stochastic with 4 %K LinesQuad Rotation Stochastic Strategy – Indicator Description
The Quad Rotation Strategy is a momentum-based technical analysis tool that overlays four distinct Stochastic %K lines on a single chart. Each line is calculated using a unique set of parameters, allowing traders to visualize and compare momentum signals across varying sensitivities — from fast-reacting setups to slower, trend-confirming ones.
This multi-speed stochastic view is designed to help traders:
Identify rotation points where shorter-term stochastic lines cross faster than longer-term lines, signaling early reversals or trend continuation.
Confirm strength or weakness in price action by observing alignment or divergence among the %K lines.
Fine-tune entries and exits by using fast %K lines for timing and slower ones for confirmation.
🔍 How It Works:
Four separate %K lines are plotted, each with configurable Length and Smoothing.
All lines are calculated using the standard Stochastic formula:
(%K = SMA of (Close - Low) / (High - Low) over period)
No %D lines are included to keep the focus on %K behavior across different speeds.
Standard overbought (80), oversold (20), and midline (50) levels are provided for context.
This indicator is best used in:
Trend continuation setups where faster stochastics pull back to oversold while slower ones remain bullish.
Reversal zones where all four %K lines converge or cross in extreme levels.
Range-bound environments where confluence of extremes offers swing trade opportunities.
V6 Trend Validator by zorlacwarezV6 Trend Validator
The V6 Trend Validator helps you spot the current market trend by combining popular indicators like MACD, EMA, volume levels, and more into one simple score.
It also includes a Stoch RSI status at the top-right corner for extra confirmation (shows if the market is overbought or oversold).
How to Use:
1.Set your bias (Bullish or Bearish) — optional.
2.Wait for the score to go above your chosen threshold (example: 60%) — this confirms the trend.
3.Double-check with Stoch RSI, MACD, and Volume Profile before taking a trade.
CryptoPulse CipherCryptoPulse Cipher is an all-in-one trading indicator designed for cryptocurrency markets. It delivers precise buy/sell signals using a powerful blend of WaveTrend oscillator and MFI, enhanced by an EMA ribbon for trend clarity. Identify key reversals with divergence detection and blue triangle warnings, while support/resistance zones and VWAP guide your entries and exits. Customizable and alert-ready, this tool empowers traders to navigate volatile markets with confidence. Perfect for scalpers and swing traders alike.
Altcoin Reversal or Correction DetectionINDICATOR OVERVIEW: Altcoin Reversal or Correction Detection
Altcoin Reversal or Correction Detection is a powerful crypto-specific indicator designed exclusively for altcoins by analyzing their RSI values across multiple timeframes alongside Bitcoin’s RSI. Since BTC's price movements have a strong influence on altcoins, this tool helps traders better understand whether a reversal or correction signal is truly reliable or just noise. Even if an altcoin appears oversold or overbought, it may continue trending with BTC—so this indicator gives you the full picture.
The indicator is optimized for CRYPTO MARKETS only. Not suitable for BTC itself—this is a precision tool built only for ALTCOINS only.
This indicator is not only for signals but also serves as a tool for observing all the information from different timeframes of BTC and altcoins collectively.
How the Calculation Works: Algorithm Overview
The Altcoin Reversal or Correction Detection indicator relies on an algorithm that compares the RSI values of the altcoin across multiple timeframes with Bitcoin's RSI values. This allows the indicator to identify key market moments where a reversal or correction might occur.
BTC-Altcoin RSI Correlation: The algorithm looks for the correlation between Bitcoin's price movements and the altcoin's price actions, as BTC often influences the direction of altcoins. When both Bitcoin and the altcoin show either overbought or oversold conditions in a significant number of timeframes, the indicator signals the potential for a reversal or correction.
Multi-Timeframe Confirmation: Unlike traditional indicators that may focus on a single timeframe, this tool checks multiple timeframes for both BTC and the altcoin. When the same overbought/oversold conditions are met across multiple timeframes, it confirms the likelihood of a trend reversal or correction, providing a more reliable signal. The more timeframes that align with this pattern, the stronger the signal becomes.
Overbought/Oversold Conditions & Extreme RSI Values: The algorithm also takes into account the size of the RSI values, especially focusing on extreme overbought and oversold levels. The greater the RSI values are in these extreme regions, the stronger the potential reversal or correction signal. This means that not only do multiple timeframes need to confirm the condition, but the magnitude of the overbought or oversold RSI level plays a crucial role in determining the strength of the signal.
Signal Strength Levels: The signals are classified into three levels:
Early Signal
Strong Signal
Very Strong Signal
By taking into account the multi-timeframe analysis of both BTC and the altcoin RSI values, along with the magnitude of these RSI values, the indicator offers a highly reliable method for detecting potential reversals and corrections.
Who Is This Indicator Suitable For?
This indicator can also be used to detect reversal points, but it is especially effective for scalping. It highlights potential correction points, making it perfect for quick entries during smaller market pullbacks or short-term trend shifts, which is more suitable for scalpers looking to capitalize on short-term movements
Integration with other tools
Use this tool alongside key Support and Resistance zones to further enhance your trade by filtering for even better quality entries and focusing only on high-quality reversal or correction setups. It can be also used with other indicators and suitable with other personalised strategies.
Multi-Oscillator Adaptive KernelMulti-Oscillator Adaptive Kernel
Introduction
The Multi-Oscillator Adaptive Kernel (MOAK) is a powerful momentum-based indicator that fuses multiple popular oscillators RSI, Stochastic, MFI, and CCI into a single, adaptive tool. Through advanced kernel smoothing techniques, MOAK is engineered to filter out market noise and deliver clearer, more consistent trend signals. Whether in trending or ranging markets, MOAK equips traders with a holistic perspective on momentum across multiple timeframes.
Key Features
Oscillator Fusion: Combines normalized values from RSI, Stochastic, Money Flow Index, and Commodity Channel Index to capture broader momentum shifts.
Advanced Kernel Smoothing: Utilizes three kernel smoothing algorithms—Exponential, Linear, and Gaussian—to refine raw oscillator data and minimize false signals.
Customizable Sensitivity: Traders can tailor the indicator's responsiveness by adjusting lookback periods, kernel lengths, and smoothing sensitivity.
Clear Visual Signals: Features a color-coded signal line—cyan for bullish, magenta for bearish—with gradient fills to reflect trend intensity and direction.
Overbought/Oversold Zones: A central zero line helps identify momentum extremes, with layered gradients to indicate the strength of potential reversals or continuations.
Adaptive Signal Design: Dynamically adjusts its output to align with changing market conditions, offering reliable performance across diverse market environments.
How It Works
MOAK starts by calculating and normalizing input from four widely used momentum oscillators: Relative Strength Index (RSI), Stochastic Oscillator, Money Flow Index (MFI), and Commodity Channel Index (CCI). These values are then aggregated to form a composite momentum reading.
To reduce market noise and enhance signal clarity, the composite reading is passed through one of three user-selectable kernel smoothing filters—Exponential, Linear, or Gaussian. These algorithms shape the data curve, softening abrupt fluctuations while preserving meaningful trends.
The resulting smoothed output is rendered visually as a central signal line, colored cyan for upward momentum and magenta for downward momentum. A series of gradient fills around this line illustrates the intensity of the underlying momentum, with the zero line acting as a visual boundary between overbought and oversold regions. Users can customize key parameters such as lookback window, kernel length, and sensitivity level, ensuring the indicator can be optimized for different assets and trading styles.
Examples
MOAK is able to provide clear trend detection on large cap token such as Bitcoin in the example shown below and resistant to noise during consolidation period.
Downside positions are also handled by the indicator, this time on Solana which is more volatile than Bitcoin but even with more volatility MOAK was able to catch an early entry in the downside move.
Below an example on a lower timeframe with a low cap token Fartcoin where MOAK triggered an early entry on a positive uptrend.
Conclusion
MOAK is a sophisticated yet intuitive momentum indicator, merging the strengths of multiple oscillators into a cohesive and adaptive signal. Its kernel-based smoothing and customizable parameters make it a valuable tool for traders seeking to identify trend direction, assess momentum strength, and filter out short-term noise with precision. Ideal for both trend-following and range-trading strategies, MOAK offers a versatile edge in dynamic market conditions.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice, nor does it guarantee specific results. Always perform your own analysis and consult a licensed financial advisor before making any trading decisions. Use at your own risk.
Gas/Oil SpreadGas/Oil Spread Analyzer with Static Overbought/Oversold Zones
This indicator measures the spread between the actual price of natural gas and its oil-based equivalent, derived from a defined oil/gas ratio. It helps traders identify potential mispricings and mean-reversion opportunities between the two energy commodities.
Key Features:
- Calculates spread: Gas Price – Oil-Based Equivalent Price
- Supports dynamic or static oil/gas ratio
- Plots a smoothed version of the spread (SMA)
- Displays static overbought and oversold zones to highlight extreme deviations
Use Cases:
- Detect overvalued or undervalued gas relative to oil
- Spot potential reversion setups in intermarket trading
- Evaluate energy market dislocations and hedging opportunities
Reversal Strength Meter – Adib NooraniThe Reversal Strength Meter is an oscillator designed to identify potential reversal zones based on supply and demand dynamics. It uses smoothed stochastic logic to reduce noise and highlight areas where momentum may be weakening, signaling possible market turning points.
🔹 Smooth, noise-reduced stochastic oscillator
🔹 Custom zones to highlight potential supply and demand imbalances
🔹 Non-repainting, compatible across all timeframes and assets
🔹 Visual-only tool — intended to support discretionary trading decisions
This oscillator assists scalpers and intraday traders in tracking subtle shifts in momentum, helping them identify when a market may be preparing to reverse — always keeping in mind that trading is based on probabilities, not certainties.
📘 How to Use the Indicator Efficiently
For Reversal Trading:
Buy Setup
– When the blue line dips below the 20 level, wait for it to re-enter above 20.
– Look for reversal candlestick patterns (e.g., bullish engulfing, hammer, or morning star).
– Enter above the pattern’s high, with a stop loss below its low.
Sell Setup
– When the blue line rises above the 80 level, wait for it to re-enter below 80.
– Look for bearish candlestick patterns (e.g., bearish engulfing, inverted hammer, or evening star).
– Enter below the pattern’s low, with a stop loss above its high.
🛡 Risk Management Guidelines
Risk only 0.5% of your capital per trade
Book 50% profits at a 1:1 risk-reward ratio
Trail the remaining 50% using price action or other supporting indicators
Stochastic M1+M5 with EMA + 4H FilterThis indicator combines multi-timeframe Stochastic signals (M1 + M5) and an EMA trend check, while also filtering out noise near 4-hour highs/lows. It delays repeat signals if a weak profit move or recent trade just occurred. Ideal for short-term XAUUSD monitoring, it plots clear “Strong Bull” or “Strong Bear” signals on your chart and offers optional alerts for timely entries.
Smart Technical Matrix v6 - Display OnlySmart Technical Matrix Analyzer - This script analyzes 32 technical signals from 8 indicators across 4 timeframes (15m, 1H, 4H, 1D). It generates long/short trade signals with strength level, entry and target levels. Fully compatible with the Smart Matrix Display.
