Institutional Analyst LLM📊 Institutional Analyst Board LLM – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto 🔍 Overview The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI...
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Institutional Analyst Board
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Jul 19
📊 Institutional Analyst Board – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto
🔍 Overview
The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI bias, VWAP positioning, and Break of Structure (BoS)—into a single powerful visual dashboard.
This indicator is especially optimized for Gold (XAUUSD) but is also compatible with Crypto and Forex assets.
🧠 Key Features
✅ Multi-Timeframe Dashboard (5M / 15M / 1H)
✅ Order Block Detection with dynamic zones that extend until broken
✅ Fair Value Gap Detection with clear zone shading and border distinction
✅ MACD + RSI Confluence for momentum and bias alignment
✅ VWAP Positioning to identify premium/discount zones
✅ Liquidity Sweeps (internal/external range breaks)
✅ Killzone Highlighting (Asia / London / New York)
✅ Break of Structure (BoS) with advanced confluence filters
✅ Gold Bias Flags across timeframes (BUY / SELL / NEUTRAL)
✅ Dynamic Price Watermark with real-time data
✅ Fully customizable colors, transparencies, and text labels
🧠 How It Works
The Board uses institutional logic to analyze the chart in real time:
Metric Purpose
OB Zones Highlight potential smart money footprints where price is likely to react.
FVG Zones Identify imbalance areas between buyers and sellers—ideal for mean reversion entries.
MACD/RSI Confirm momentum direction and relative strength confluence.
VWAP Determine whether price is trading at a premium or discount.
Liquidity Sweeps Detect manipulative moves before major reversals.
BoS Mark potential trend reversals, filtered by institutional confluence.
Each signal is computed across 3 timeframes and visualized in a clean board that updates live. You’ll also see labels, alerts, and session overlays for maximum clarity.
📌 Ideal Use Case
This tool is perfect for:
Funded Challenge Traders (FTMO, MyForexFunds, etc.)
Gold scalpers and intraday traders
Crypto price action traders using BTC, ETH, SOL, etc.
Smart Money Concept (SMC) and ICT followers
⚙️ Customization Options
Toggle each module (OB, FVG, VWAP, MACD/RSI, etc.)
Set transparency and color for each zone type
Adjust Killzone timing (Asia, London, NY)
Control board position (Top/Bottom) and metric visibility
📈 Compatible Assets
✅ XAUUSD (optimized)
✅ Forex majors/minors
✅ Crypto pairs (BTC, ETH, SOL, etc.)
✅ Indices (GER40, NASDAQ, SPX with minor adaptation)
🛠️ Requirements
Use on TradingView v5
Set chart time to UTC+0 or UTC+3 for optimal Killzone accuracy
For crypto, redefine Killzone hours if needed (24/7 market)
🧠 Pro Tip
Pair this indicator with volume profile tools, CVD/Delta Flow, or Footprint overlays to build high-confidence trade setups with clear institutional confluence.
Pesquisar nos scripts por "ai"
Linear Regression Channel Screener [Daveatt]Hello traders
First and foremost, I want to extend a huge thank you to @LonesomeTheBlue for his exceptional Linear Regression Channel indicator that served as the foundation for this screener.
Original work can be found here:
Overview
This project demonstrates how to transform any open-source indicator into a powerful multi-asset screener.
The principles shown here can be applied to virtually any indicator you find interesting.
How to Transform an Indicator into a Screener
Step 1: Identify the Core Logic
First, identify the main calculations of the indicator.
In our case, it's the Linear Regression
Channel calculation:
get_channel(src, len) =>
mid = math.sum(src, len) / len
slope = ta.linreg(src, len, 0) - ta.linreg(src, len, 1)
intercept = mid - slope * math.floor(len / 2) + (1 - len % 2) / 2 * slope
endy = intercept + slope * (len - 1)
dev = 0.0
for x = 0 to len - 1 by 1
dev := dev + math.pow(src - (slope * (len - x) + intercept), 2)
dev
dev := math.sqrt(dev / len)
Step 2: Use request.security()
Pass the function to request.security() to analyze multiple assets:
= request.security(sym, timeframe.period, get_channel(src, len))
Step 3: Scale to Multiple Assets
PineScript allows up to 40 request.security() calls, letting you monitor up to 40 assets simultaneously.
Features of This Screener
The screener provides real-time trend detection for each monitored asset, giving you instant insights into market movements.
It displays each asset's position relative to its middle regression line, helping you understand price momentum.
The data is presented in a clean, organized table with color-coded trends for easy interpretation.
At its core, the screener performs trend detection based on regression slope calculations, clearly indicating whether an asset is in a bullish or bearish trend.
Each asset's price is tracked relative to its middle regression line, providing additional context about trend strength.
The color-coded visual feedback makes it easy to spot changes at a glance.
Built-in alerts notify you instantly when any asset experiences a trend change, ensuring you never miss important market moves.
Customization Tips
You can easily expand the screener by adding more symbols to the symbols array, adapting it to your watchlist.
The regression parameters can be adjusted to match your preferred trading timeframes and sensitivity.
The alert system is already configured to notify you of trend changes, but you can customize the alert messages and conditions to your needs.
Limitations
While powerful, the screener is bound by PineScript's limitation of 40 security calls, capping the maximum number of monitored assets.
Using AI to Help With Conversion
An interesting tip:
You can use AI tools to help convert single-asset indicators to screeners.
Simply provide the original code and ask for assistance in transforming it into a screener format. While the AI output might need some syntax adjustments, it can handle much of the heavy lifting in the conversion process.
Prompt (example) : " Please make a pinescript version 5 screener out of this indicator below or in attachment to scan 20 instruments "
I prefer Claude AI (Opus model) over ChatGPT for pinescript.
Conclusion
This screener transformation technique opens up endless possibilities for market analysis.
By following these steps, you can convert any indicator into a powerful multi-asset scanner, enhancing your trading toolkit significantly.
Remember: The power of a screener lies not just in monitoring multiple assets, but in applying consistent analysis across your entire watchlist in real-time.
Feel free to fork and modify this screener for your own needs.
Happy trading! 🚀📈
Daveatt
PCA-Risk IndicatorOBJECTIVE:
The objective of this indicator is to synthesize, via PCA (Principal Component Analysis), several of the most used indicators with in order to simplify the reading of any asset on any timeframe.
It is based on my Bitcoin Risk Long Term indicator, and is the evolution of another indicator that I have not published 'Average Risk Indicator'.
The idea of this indicator is to use statistics, in this case the PCA, to reduce the number of dimensions (indicator) to aggregate them in some synthetic indicators (PCX)
I invite you to dig deeper into the PCA, but that is to try to keep as much information as possible from the raw data. The signal minus the noise.
I realized this indicator a year ago, but I publish it now because I do not see the interest to keep it private.
USAGE:
Unlike the Bitcoin Risk Long Term indicator, it does not make sense to change or disable the input indicators unless you use the 'Average Indicator' function. Because each input is weighted to generate the outputs, the PCX.
I extracted several courses (Bitcoin, Gold, S&P, CAC40) on several timeframes (W, D, 4h, 1h) of Trading view and use the Excel generated for the data on which I played the PCA analysis.
The results:
explained_variance_ratio: 0.55540809 / 0.13021972 / 0.07303142 / 0.03760925
explained_variance: 11.6639671 / 2.73470717 / 1.53371209 / 0.7898212
Interpretation:
Simply put, 55% of the information contained in each indicator can be represented with PC1, +13% with PC2, +7% with PC3, +3% with PC4.
What is important to understand is that PC1, which serves as a thermometer in a way, gives a simple indication of over-buying or over-selling area better than any other indicator.
PC2, difficult to interpret, is more reactive because precedes PC1, but can give false signals.
PC3 and PC4 do not seem relevant to me.
The way I use it is to take PC1 for Risk indicator, and display PC2 with 'Area'. When PC2 turns around and PC1 arrives on extremes, it can be good points to act.
NOTES :
- It is surprising that a simple average of all the indicators gives a fairly relevant result
- With Average indicator as Risk indicator, you can combine the indicators of your choice and see the predictive power with the staining of bars.
- You can add alerts on the levels of your choice on the Risk Indicator
- If you have any idea of adding an indicator, modification, criticism, bug found: share them, it’s appreciated!
---- FR ----
OBJECTIF :
L'objectif de cet indicateur est de synthétiser, via l'ACP (Analyse en Composantes Principales), plusieurs indicateurs parmi les plus utilisés avec afin de simplifier la lecture de n'importe quel actif sur n'importe quel timeframe.
Il est inspiré de mon indicateur 'Bitcoin Risk Long Term indicator', et est l'évolution d'un autre indicateur que je n'ai pas publié 'Average Risk Indicator'.
L'idée de cet indicateur est d'utiliser les statistiques, en l'occurence l'ACP, pour réduire le nombre de dimensions (indicateur) pour les agréger dans quelques indicateurs synthétiques (PCX)
Je vous invite à creuser l'ACP, mais c'est chercher à conserver un maximum d'informations à partir de la donnée brute. Le signal moins le bruit.
J'ai réalisé cet indicateur il y a un an, mais je le publie maintenant car je ne vois pas l'intérêt de le garder privé.
UTILISATION :
Contrairement à 'Bitcoin Risk Long Term indicator', il ne fait pas sens de modifier ou désactiver les indicateurs inputs, sauf si vous utiliser la fonction 'Average Indicator'. Car chaque input est pondéré pour générer les outputs, les PCX.
J'ai extrait plusieurs cours (Bitcoin, Gold, S&P, CAC40) sur plusieurs timeframes (W, D, 4h, 1h) de Trading view et utiliser les Excel généré pour la data sur laquelle j'ai joué l'analyse ACP.
Les résultats :
explained_variance_ratio : 0.55540809 / 0.13021972 / 0.07303142 / 0.03760925
explained_variance : 11.6639671 / 2.73470717 / 1.53371209 / 0.7898212
Interprétation :
Pour faire simple, 55% de l'information contenu dans chaque indicateur peut être représenté avec PC1, +13% avec PC2, +7% avec PC3, +3% avec PC4.
Ce qui faut y comprendre c'est que le PC1, qui sert de thermomètre en quelque sorte, donne une indication simple de zone de sur-achat ou sur-vente mieux que n'importe quel autre indicateur.
PC2, difficile à interpréter, est plus réactif car précède PC1, mais peut donner des faux signaux.
PC3 et PC4 ne me semble pas pertinent.
La manière dont je m'en sert c'est de prendre PC1 pour Risk indicator, et d'afficher PC2 avec 'Region'. Lorsque PC2 se retourne et que PC1 arrive sur des extrêmes, cela peut être des bons points pour agir.
NOTES :
- Il est étonnant de constater qu'une simple moyenne de tous les indicateurs donne un résultat assez pertinent
- Avec Average indicator comme Risk indicator, vous pouvez combiner les indicateurs de vos choix et voir la force prédictive avec la coloration des bars.
- Vous pouvez ajouter des alertes sur les niveaux de votre choix sur le Risk Indicator
- Si vous avez la moindre idée d'ajout d'indicateur, modification, critique, bug trouvé : partagez-les, c'est apprécié !
Endpointed SSA of Price [Loxx]The Endpointed SSA of Price: A Comprehensive Tool for Market Analysis and Decision-Making
The financial markets present sophisticated challenges for traders and investors as they navigate the complexities of market behavior. To effectively interpret and capitalize on these complexities, it is crucial to employ powerful analytical tools that can reveal hidden patterns and trends. One such tool is the Endpointed SSA of Price, which combines the strengths of Caterpillar Singular Spectrum Analysis, a sophisticated time series decomposition method, with insights from the fields of economics, artificial intelligence, and machine learning.
The Endpointed SSA of Price has its roots in the interdisciplinary fusion of mathematical techniques, economic understanding, and advancements in artificial intelligence. This unique combination allows for a versatile and reliable tool that can aid traders and investors in making informed decisions based on comprehensive market analysis.
The Endpointed SSA of Price is not only valuable for experienced traders but also serves as a useful resource for those new to the financial markets. By providing a deeper understanding of market forces, this innovative indicator equips users with the knowledge and confidence to better assess risks and opportunities in their financial pursuits.
█ Exploring Caterpillar SSA: Applications in AI, Machine Learning, and Finance
Caterpillar SSA (Singular Spectrum Analysis) is a non-parametric method for time series analysis and signal processing. It is based on a combination of principles from classical time series analysis, multivariate statistics, and the theory of random processes. The method was initially developed in the early 1990s by a group of Russian mathematicians, including Golyandina, Nekrutkin, and Zhigljavsky.
Background Information:
SSA is an advanced technique for decomposing time series data into a sum of interpretable components, such as trend, seasonality, and noise. This decomposition allows for a better understanding of the underlying structure of the data and facilitates forecasting, smoothing, and anomaly detection. Caterpillar SSA is a particular implementation of SSA that has proven to be computationally efficient and effective for handling large datasets.
Uses in AI and Machine Learning:
In recent years, Caterpillar SSA has found applications in various fields of artificial intelligence (AI) and machine learning. Some of these applications include:
1. Feature extraction: Caterpillar SSA can be used to extract meaningful features from time series data, which can then serve as inputs for machine learning models. These features can help improve the performance of various models, such as regression, classification, and clustering algorithms.
2. Dimensionality reduction: Caterpillar SSA can be employed as a dimensionality reduction technique, similar to Principal Component Analysis (PCA). It helps identify the most significant components of a high-dimensional dataset, reducing the computational complexity and mitigating the "curse of dimensionality" in machine learning tasks.
3. Anomaly detection: The decomposition of a time series into interpretable components through Caterpillar SSA can help in identifying unusual patterns or outliers in the data. Machine learning models trained on these decomposed components can detect anomalies more effectively, as the noise component is separated from the signal.
4. Forecasting: Caterpillar SSA has been used in combination with machine learning techniques, such as neural networks, to improve forecasting accuracy. By decomposing a time series into its underlying components, machine learning models can better capture the trends and seasonality in the data, resulting in more accurate predictions.
Application in Financial Markets and Economics:
Caterpillar SSA has been employed in various domains within financial markets and economics. Some notable applications include:
1. Stock price analysis: Caterpillar SSA can be used to analyze and forecast stock prices by decomposing them into trend, seasonal, and noise components. This decomposition can help traders and investors better understand market dynamics, detect potential turning points, and make more informed decisions.
2. Economic indicators: Caterpillar SSA has been used to analyze and forecast economic indicators, such as GDP, inflation, and unemployment rates. By decomposing these time series, researchers can better understand the underlying factors driving economic fluctuations and develop more accurate forecasting models.
3. Portfolio optimization: By applying Caterpillar SSA to financial time series data, portfolio managers can better understand the relationships between different assets and make more informed decisions regarding asset allocation and risk management.
Application in the Indicator:
In the given indicator, Caterpillar SSA is applied to a financial time series (price data) to smooth the series and detect significant trends or turning points. The method is used to decompose the price data into a set number of components, which are then combined to generate a smoothed signal. This signal can help traders and investors identify potential entry and exit points for their trades.
The indicator applies the Caterpillar SSA method by first constructing the trajectory matrix using the price data, then computing the singular value decomposition (SVD) of the matrix, and finally reconstructing the time series using a selected number of components. The reconstructed series serves as a smoothed version of the original price data, highlighting significant trends and turning points. The indicator can be customized by adjusting the lag, number of computations, and number of components used in the reconstruction process. By fine-tuning these parameters, traders and investors can optimize the indicator to better match their specific trading style and risk tolerance.
Caterpillar SSA is versatile and can be applied to various types of financial instruments, such as stocks, bonds, commodities, and currencies. It can also be combined with other technical analysis tools or indicators to create a comprehensive trading system. For example, a trader might use Caterpillar SSA to identify the primary trend in a market and then employ additional indicators, such as moving averages or RSI, to confirm the trend and generate trading signals.
In summary, Caterpillar SSA is a powerful time series analysis technique that has found applications in AI and machine learning, as well as financial markets and economics. By decomposing a time series into interpretable components, Caterpillar SSA enables better understanding of the underlying structure of the data, facilitating forecasting, smoothing, and anomaly detection. In the context of financial trading, the technique is used to analyze price data, detect significant trends or turning points, and inform trading decisions.
█ Input Parameters
This indicator takes several inputs that affect its signal output. These inputs can be classified into three categories: Basic Settings, UI Options, and Computation Parameters.
Source: This input represents the source of price data, which is typically the closing price of an asset. The user can select other price data, such as opening price, high price, or low price. The selected price data is then utilized in the Caterpillar SSA calculation process.
Lag: The lag input determines the window size used for the time series decomposition. A higher lag value implies that the SSA algorithm will consider a longer range of historical data when extracting the underlying trend and components. This parameter is crucial, as it directly impacts the resulting smoothed series and the quality of extracted components.
Number of Computations: This input, denoted as 'ncomp,' specifies the number of eigencomponents to be considered in the reconstruction of the time series. A smaller value results in a smoother output signal, while a higher value retains more details in the series, potentially capturing short-term fluctuations.
SSA Period Normalization: This input is used to normalize the SSA period, which adjusts the significance of each eigencomponent to the overall signal. It helps in making the algorithm adaptive to different timeframes and market conditions.
Number of Bars: This input specifies the number of bars to be processed by the algorithm. It controls the range of data used for calculations and directly affects the computation time and the output signal.
Number of Bars to Render: This input sets the number of bars to be plotted on the chart. A higher value slows down the computation but provides a more comprehensive view of the indicator's performance over a longer period. This value controls how far back the indicator is rendered.
Color bars: This boolean input determines whether the bars should be colored according to the signal's direction. If set to true, the bars are colored using the defined colors, which visually indicate the trend direction.
Show signals: This boolean input controls the display of buy and sell signals on the chart. If set to true, the indicator plots shapes (triangles) to represent long and short trade signals.
Static Computation Parameters:
The indicator also includes several internal parameters that affect the Caterpillar SSA algorithm, such as Maxncomp, MaxLag, and MaxArrayLength. These parameters set the maximum allowed values for the number of computations, the lag, and the array length, ensuring that the calculations remain within reasonable limits and do not consume excessive computational resources.
█ A Note on Endpionted, Non-repainting Indicators
An endpointed indicator is one that does not recalculate or repaint its past values based on new incoming data. In other words, the indicator's previous signals remain the same even as new price data is added. This is an important feature because it ensures that the signals generated by the indicator are reliable and accurate, even after the fact.
When an indicator is non-repainting or endpointed, it means that the trader can have confidence in the signals being generated, knowing that they will not change as new data comes in. This allows traders to make informed decisions based on historical signals, without the fear of the signals being invalidated in the future.
In the case of the Endpointed SSA of Price, this non-repainting property is particularly valuable because it allows traders to identify trend changes and reversals with a high degree of accuracy, which can be used to inform trading decisions. This can be especially important in volatile markets where quick decisions need to be made.
Trend Algo (Zeiierman)█ Overview
Trend Algo (Zeiierman) converts raw price movement into a cohesive, volatility-aware trend map. Rather than static moving averages, it builds an adaptive trend core that responds to market state changes, then layers regime-sensitive clouds (Infinite Sky) and horizon-bounded channels (HorizonX), plus precise trend-change and continuation signals. The result is a clean framework for reading direction, timing pullbacks, and validating momentum.
The indicator visualizes the active trend line, adaptive clouds, and stateful signals to reveal transition zones, trend acceleration, and exhaustion. It suits intraday execution, swing confirmations, and structural regime assessment.
⚪ Why This One Is Unique
Unlike conventional trend tools, this version combines volatility-normalized trend estimation, AI-style regime clustering, and horizon-bounded support/resistance channels. Its framework uses multi-phase smoothing, adaptive width scaling, and state detection that aligns entries and continuations with current market inertia—reducing whipsaw while preserving responsiveness.
█ Main features
⚪ Dynamic Clouds
The Dynamic Trend Line provides a stabilized, noise-aware trajectory of price, color-coded by directional bias. Two cloud systems overlay the core trend:
Infinite Sky (AI) — a regime-aware cloud that distinguishes fast vs. slow trend states.
HorizonX — adaptive channels that operate as dynamic support/resistance and define trend boundaries.
⚪ Candle Coloring
The candle coloring is designed to highlight trend momentum peaks, allowing you to instantly recognize when the trend is accelerating or slowing down. This visual feedback makes it easier to interpret the strength and speed of directional moves directly on the chart, seamlessly complementing the Dynamic Trend Line and Cloud systems.
⚪ Trend Change Signals & Trend Continuation Signals
The main signals are the Trend Change Signals , designed to trigger when the current trend structure begins to shift its state. These signals give you an instant sense of when a potential trend reversal or directional change might occur.
To complement them, we’ve added Trend Continuation Signals , which only activate within an established trend. These signals confirm the current direction and indicate that the trend is gaining strength and preparing for another move in the same direction.
⚪ Trend Line
Two types of trend lines are integrated: Stability and Dynamic.
The Stability Line follows the current price action in a smooth, drift-like manner — staying closer to price to act as a faster support and resistance zone.
The Dynamic Line adapts to volatility, ensuring that continuous movements within the trend are taken into account. This helps traders stay aligned with the trend and capture extended moves during periods of higher market activity.
█ How to Use
⚪ Trend Changes
Trend Change Signals appear when the current trend structure begins to shift, signaling a potential reversal or directional transition. These signals help traders anticipate moments when momentum weakens or changes direction, offering early insight into possible turning points in the market. Combine Trend Change Signals with Candle Coloring or Cloud behavior to confirm entries and strengthen trend reversal validation.
⚪ Trend Continuations
Trend Continuation Signals trigger within an established trend, confirming that the current direction remains strong. They often appear after pullbacks or pauses, suggesting that the market is ready for another move in the same direction. These signals work best when paired with the Dynamic Trend Line, allowing traders to stay confidently aligned with powerful ongoing trends.
⚪ Support and Resistance
The Stability Trend Line acts as a reactive support and resistance guide, staying close to price and highlighting areas where market reactions are most likely to occur. It offers traders a clear view of short-term structure and helps identify potential bounce or rejection zones with precision.
The Dynamic Trend Line adapts to volatility, forming flexible support and resistance zones that expand during strong momentum and contract during quieter phases, keeping the visual structure balanced and responsive to changing market conditions.
HorizonX defines the outer adaptive boundaries of the trend. These dynamic channels operate as broader support and resistance frameworks, helping traders anticipate trend exhaustion or continuation zones beyond the immediate price action.
The Infinite Sky (AI) cloud adds a regime-aware layer that distinguishes fast and slow trend states, visually framing the strength of support or resistance regions as they evolve and allowing traders to read both momentum and structure in a single glance.
█ How It Works
⚪ Dynamic Trend Core
A volatility-normalized estimator generates the primary trajectory and color state, balancing stability vs. agility by adapting to dispersion and displacement.
Calculation: Multi-phase weighted smoothing with volatility-scaled adjustments and adaptive phase control to minimize lag while preserving curvature.
⚪ Infinite Sky (AI Regime Cloud)
Differentiates fast vs. slow trend states and paints a regime-aware cloud that guides timing and risk.
Calculation: Windowed return modeling (with optional consolidation), two-pole response filtering, and distribution-center clustering to classify regimes and modulate the envelope.
⚪ HorizonX Trend Channels
Defines dynamic support/resistance “horizons” that expand/contract with conditions and filter counter-trend noise when strong-trend mode is enabled.
Calculation: A volatility-aware core that evolves with changing price dynamics, maintaining precision across all market conditions.
⚪ Trend Line & Continuations
A fast reaction line confirms pullbacks and validates continuation only when aligned with prevailing bias and structure.
Calculation: Short-horizon smoothing with phase-managed weighting, slope/position gating, and context checks against regime and horizon levels.
⚪ Impulse Detection
Identifies statistically meaningful bursts that precede expansion or warn of exhaustion after extended runs.
Calculation: Nonlinear impulse-response mapping emphasizing second-order changes in directional energy while suppressing micro-noise.
⚪ Trend Bands
Upper/lower bands visualize the active envelope for timing adds, trims, or exits within trend.
Calculation: Percentile-guided banding blended with adaptive anchors to retain structural relevance through regime shifts.
⚪ Bar Color Integration
Bars can inherit trend/gradient context to make state shifts obvious at a glance.
Calculation: Algorithmic gradient model integrating directional momentum intensity to render bar coloration in sync with market flow.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Script pago
Intelligent Exponential Moving Average Private AccessView the full documentation on this indicator here: www.kenzing.com
Note: This indicator is now intended for those who have been granted private access and may be more frequently updated than the previous versions.
Introduction
This indicator uses machine learning (Artificial Intelligence) to solve a real human problem.
The Exponential Moving Average ( EMA ) is one of the most used indicators on the planet, yet no one really knows what pair of exponential moving average lengths works best in combination with each other.
A reason for this is because no two EMA lengths are always going to be the best on every instrument, time-frame, and at any given point in time.
The " Intelligent Exponential Moving Average " solves the moving average problem by adapting the period length to match the most profitable combination of exponential moving averages in real time.
How does the Intelligent Exponential Moving Average work?
The artificial intelligence that operates these moving average lengths was created by an algorithm that tests every single combination across the entire chart history of an instrument for maximum profitability in real-time.
No matter what happens, the combination of these exponential moving averages will be the most profitable.
Can we learn from the Intelligent Moving Average?
There are many lessons to be learned from the Intelligent EMA . Most will come with time as it is still a new concept. Adopting the usefulness of this AI will change how we perceive moving averages to work.
Limitations
Ultimately, there are no limiting factors within the range of combinations that has been programmed. The exponential moving averages will operate normally, but may change lengths in unexpected ways - maybe it knows something we don't?
Thresholds
The range of exponential moving average lengths is between 5 to 40.
Additional coverage resulted in TradingView server errors.
Future Updates!
Soon, I will be publishing tools to test the AI and visualise what moving average combination the AI is currently using.
Follow and like for more content!
RSI or MACD + Tendance Kijun LTThis script is an update of my previous script "RSI + Tendance Kijun LT", I will not explain it here, if needed have a look at it :
I made a new script (and not update the previous one) because some people may not be interested by MACD and for performance perspective they may be interested to only have RSI (since you can't have both but only switch from RSI and MACD)
So now, you can choose to have MACD instead of RSI with long term trend based on Kijun still dispaying. Why am I adding MACD even if most of the time I never use it ? It's for Elliott Wave purpose and principaly for triangle. With MACD, you can easily identify if you're forming a triangle or not in an Elliott Wave perspective (I'm not speaking about chartist triangle).
As an example, you can see ETHUSD in daily and something looking similar to a triangle. We can trade it with many possibility (breakout, support/resistance) but I'm interested in to identify if it's a triangle with an EW count (not chartist) and if it's the case I will consider different scenario (triangle are most of the time wave 4 so we could have one more push leg down on this ticker)
So, in my daytrading I'm still always using RSI except when I want to verify if we have a triangle :) and I need to switch to MACD for that to check the following things :
- am I able to draw a triangle as the price did
- may I able to join A to C and B to D and still have a triangle on MACD
- If Yes, I will take care of E point because it's the start of the 5th wave (E point may be a truncated wave of the triangle and not join the line of points A to C)
By adding this in my strategy, I can anticipate different scenarios and invalidate them if I didn't get the triangle on MACD (by having a D point on MACD not respecting the triangle form). Don't forget, we can decide to don't trade a triangle as an EW count but still trade it as a chartist form (breakout or anything else).
In summary for the next days/weeks, on ETHUSD in daily time unit I will therefore wait and see if the price goes up to point D by being validated on the MACD. If so, then I will look at the possible formation of point E around prices 141$ and 156$, if at these prices I have short signals then it will be interesting to go back in short position
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Ce script est une mise à jour de mon script précédent "RSI + Tendance Kijun LT", je ne l'expliquerai pas ici, si besoin jetez-y un oeil :
J'ai fait un nouveau script (sans forcer la mise à jour du précédent) parce que certaines personnes peuvent ne pas être intéressées par MACD et pour des raisons de performance, elles peuvent être intéressées à n'avoir que RSI (puisque vous ne pouvez pas avoir les deux en même temps mais seulement passer de RSI et MACD)
Donc maintenant, vous pouvez choisir d'avoir MACD au lieu de RSI avec une tendance à long terme basée sur Kijun qui s'affiche toujours. Pourquoi est-ce que j'ajoute MACD même si la plupart du temps je ne l'utilise jamais ? C'est pour Elliott Wave et surtout pour le triangle. Avec MACD, vous pouvez facilement identifier si vous formez un triangle ou non dans une perspective Elliott Wave (je ne parle pas de triangle chartiste).
Par exemple, vous pouvez voir que sur ETHUSD en unité de temps journalière nous avons quelque chose qui ressemble à un triangle. Nous pouvons faire des trade de pleins de manières différentes (cassure d'oblique, support/résistance) mais je suis intéressé d'identifier si c'est un triangle avec un compte EW (pas chartiste) et si c'est le cas, je vais envisager un scénario différent (sachant que les triangles sont la plupart du temps la vague 4 et donc envisager à la sortie une dernière poussée baissière type vague 5 sur ETHUSD)
Donc, dans mon daytrading, j'utilise toujours RSI sauf quand je veux vérifier si nous avons un triangle :) et j'ai besoin de passer à MACD afin de vérifier les éléments suivantes :
- Suis-je capable de dessiner un triangle comme le prix le dessine
- puis-je joindre A à C et B à D et toujours avoir un triangle sur MACD ?
- Si oui, je m'occupe du point E car c'est le début de la 5ème vague (le point E peut être une onde tronquée du triangle et ne pas joindre la ligne des points A à C).
En ajoutant cela dans ma stratégie, je peux anticiper différents scénarios et les invalider si je n'ai pas obtenu le triangle sur MACD (en ayant un point D sur MACD ne respectant pas la forme du triangle). N'oubliez pas, nous pouvons décider de ne pas le trade comme un triangle d'un décompte EW mais de le trade simplement comme un triangle chartiste (breakout ou autre chose).
En résumé pour les prochains jours/semaines, sur ETHUSD en unité de temps journalière je vais donc patienter et voir si le prix va jusqu'au point D en étant validé sur le MACD. Si oui, alors je regarderai l'éventuelle formation du point E autour des prix 141$ et 156$, si à ces prix j'ai des signaux vendeurs alors il sera intéressant de rentrer en position short
support@tennaflow.comAI-Powered Market Sentiment & Trend Detector for Bitcoin
Experience next-level trading with an AI-driven indicator optimized for the 5-minute timeframe. Using advanced AI algorithms to detect market fear and predict trend shifts with precision.
Notes: Only subscribers can use this indicator.
Subscription Access: $168/month .
Email: support@tennaflow.com
Trading Pair:
BINANCE:BTCUSDT26Z2025
NeuralFlow Forecast Engine™ | SPY Weekly NeuralFlow Forecast Engine™ | SPY Weekly
AI-adaptive market equilibrium & expansion mapping. NeuralFlow doesn’t forecast by direction — it forecasts by where markets prefer to stabilize.
NeuralFlow Forecast Engine™ is a proprietary Artificial Intelligence framework trained to identify where price is statistically inclined to rebalance and where expansion zones historically exhaust rather than extend.
What the Bands Represent
Band Layer Meaning
AI Equilibrium (white core) Primary weekly balance zone where price is most likely to mean-revert
Predictive Rails (aqua / purple) High-confidence corridor of institutional flow containment
Outer Zones (green / red) Expansion limits where continuation historically decays
Extreme Zones (top/bottom) Rare deviation envelope where auction completion is statistically favored
NeuralFlow operates on proprietary, institution-grade Artificial Intelligence models trained specifically to map statistical rebalancing behavior, not trader predictions or sentiment. No discretionary drawing. No correlations. No lagging overlays.
This engine updates only when underlying structure changes — not when candles fluctuate intraday.
⚠ Risk & Use Notice
NeuralFlow Forecast Engine™ provides AI-derived structural zones, not trade signals or financial advice.
Markets can behave outside modeled distributions, especially during macro catalysts, thin liquidity, or surprise volatility events.
By loading or using this indicator, the user acknowledges full responsibility for any trades or outcomes based on its interpretation.
Educational & analytical use only. Not financial advice.
Meet The Neural Brain: The "Glass Box" AnalystIt observes. It thinks. It speaks.
Most indicators are "Black Boxes"—they give you a signal, but they never tell you why. If you don't know the why, you can't trust the trade.
The Neural Brain is different. It is a "Glass Box" AI Market Analyst that lives on your chart. It breaks down its decision-making process into plain English, so you never have to guess.
How It "Thinks" (The 3-Layer Cortex)
It processes market data through three human-like layers:
1. PERCEPTION (The Eyes)
Forensic Analysis: It scans price action for "clean" vs. "noisy" movement.
Spread History: It tracks momentum expansion in real-time.
2. COGNITION (The Mind)
Mode Selection: It mathematically decides whether to TRACK a trend or REPEL choppy conditions.
Conviction Monitor: It tells you if its confidence in the trade is growing or fading.
3. NARRATIVE (The Voice)
The Killer Feature: It synthesizes all data into a final strategic summary displayed right on your screen:
"STRONG TREND + NOISY ACTION = HOLDING (Ignoring Noise)"
"Is this Real AI?"
Transparency is our priority. This is not "Generative AI" (like ChatGPT) that hallucinates or scours the internet. This is Expert Systems Machine Learning.
The Math: We utilize the Rational Quadratic Kernel, a sophisticated technique used in Gaussian Process Regression. This allows the code to "learn" the structure of volatility without being explicitly hard-coded. It adapts to the market curve.
The Logic: It mimics the thought process of a professional trader running a complex Decision Tree:
Human Thought: "The trend is up, but it's choppy, so I should wait."
Neural Logic: IF (Trend > 0) AND (Efficiency < 0.3) THEN Strategy = "HOLDING"
The Result: A Synthetic Cortex that adapts to the situation just like a pro trader would, giving you the clarity to execute with zero hesitation.
Viprasol Elite Advanced Pattern Scanner# 🚀 Viprasol Elite Advanced Pattern Scanner
## Overview
The **Viprasol Elite Advanced Pattern Scanner** is a sophisticated technical analysis tool designed to identify high-probability double bottom (DISCOUNT) and double top (PREMIUM) patterns with unprecedented accuracy. Unlike basic pattern detectors, this elite scanner employs an AI-powered quality scoring system to filter out false signals and highlight only the most reliable trading opportunities.
## 🎯 Key Features
### Advanced Pattern Detection
- **DISCOUNT Patterns** (Double Bottoms): Identifies bullish reversal zones where price may bounce
- **PREMIUM Patterns** (Double Tops): Detects bearish reversal zones where price may decline
- Multi-point validation system (5-point structure)
- Symmetry analysis with customizable tolerance
### 🤖 AI Quality Scoring System
Each pattern receives a quality score (0-100) based on:
- **Symmetry Analysis** (32% weight): How closely the two bottoms/tops match
- **Trend Context** (22% weight): Strength of the preceding trend using ADX
- **Volume Profile** (22% weight): Volume confirmation at key points
- **Pattern Depth** (16% weight): Significance of the pattern's price range
- **Structure Quality** (16% weight): Overall pattern formation quality
Quality Grades:
- ⭐ **ELITE** (88-100): Highest probability setups
- ✨ **VERY STRONG** (77-87): Strong trade opportunities
- ✓ **STRONG** (67-76): Valid patterns with good potential
- ○ **VALID** (65-66): Acceptable patterns meeting minimum criteria
### 🎯 Intelligent Target System
Three target modes per pattern direction:
- **Conservative**: 0.618 Fibonacci extension (safer, closer targets)
- **Balanced**: 1.0 extension (moderate risk/reward)
- **Aggressive**: 1.618 extension (higher risk/reward)
Targets automatically adjust based on pattern quality score.
### 🔧 Advanced Filtering Options
- **Volatility Filter (ATR)**: Excludes patterns during extreme volatility
- **Momentum Filter (ADX)**: Ensures sufficient trend strength
- **Liquidity Filter (Volume)**: Confirms adequate trading volume
### 📊 Pattern Lifecycle Management
- Real-time neckline tracking with extension multiplier
- Pattern invalidation after extended wait period
- Breakout/breakdown confirmation
- Reversal detection (pattern failure scenarios)
- Target achievement tracking
### 🌈 Premium Visual System
- Color-coded quality levels
- Cyber-themed color scheme (Neon Green/Hot Pink/Purple/Cyan)
- Transparent fills for pattern zones
- Dynamic labels with pattern information
- Elite dashboard showing live pattern stats
## 📈 How To Use
### Basic Setup
1. Add indicator to your chart
2. Enable desired patterns (DISCOUNT and/or PREMIUM)
3. Adjust quality threshold (default: 65) - higher = fewer but better signals
4. Set your preferred target mode
### Trading DISCOUNT Patterns (Bullish)
1. Wait for pattern detection (labeled points 1-4)
2. Check quality score on dashboard
3. Entry on breakout above neckline (point 5)
4. Stop loss below the lowest bottom
5. Target shown automatically based on your mode
6. ⚠️ Watch for pattern failure (break below bottoms = SHORT signal)
### Trading PREMIUM Patterns (Bearish)
1. Wait for pattern detection (labeled points 1-4)
2. Check quality score on dashboard
3. Entry on breakdown below neckline (point 5)
4. Stop loss above the highest top
5. Target shown automatically based on your mode
6. ⚠️ Watch for pattern failure (break above tops = LONG signal)
## ⚙️ Input Settings Guide
### 🔍 Detection Engine
- **Left/Right Pivots**: Higher = fewer but cleaner patterns (default: 6/4)
- **Min Pattern Width**: Minimum bars between bottoms/tops (default: 12)
- **Symmetry Tolerance**: Max % difference allowed between levels (default: 1.8%)
- **Extension Multiplier**: How long to wait for breakout (default: 2.2x pattern width)
### ⭐ Quality AI
- **Min Quality Score**: Only show patterns above this score (default: 65)
- **Weight Distribution**: Customize what matters most (symmetry/trend/volume/depth/structure)
### 🔧 Filters
- **Volatility Filter**: Avoid choppy markets (recommended: ON)
- **Momentum Filter**: Ensure trend strength (recommended: ON)
- **Liquidity Filter**: Volume confirmation (recommended: ON)
### 💎 Target System
- Choose target aggression for each pattern type and direction
- Higher quality patterns get adjusted targets automatically
## 🎨 Visual Customization
- Adjust colors for DISCOUNT/PREMIUM patterns
- Set quality-based color coding
- Customize label sizes
- Toggle dashboard visibility and position
- Show/hide historical patterns
## 🚨 Alert System
Set up TradingView alerts for:
- 🚀 **LONG Signals**: DISCOUNT breakout, PREMIUM failure
- 📉 **SHORT Signals**: PREMIUM breakdown, DISCOUNT failure
- ✅ **Target Achievement**: When price hits your target
## 💡 Pro Tips
1. **Higher Timeframes = Better Signals**: Patterns on 4H, Daily, Weekly are more reliable
2. **Quality Over Quantity**: Focus on ELITE and VERY STRONG grades
3. **Combine with Trend**: DISCOUNT in uptrend, PREMIUM in downtrend = best results
4. **Watch Pattern Failures**: Failed patterns often provide strong counter-trend signals
5. **Adjust for Your Style**: Intraday traders use Conservative, swing traders use Aggressive
## 🔒 Pattern Invalidation
Patterns become invalid if:
- No breakout/breakdown within extension period
- Support/resistance levels are broken prematurely
- Pattern shown in faded colors = no longer active
## ⚠️ Risk Disclaimer
This indicator is a tool for technical analysis and does not guarantee profitable trades. Always:
- Use proper risk management
- Combine with other analysis methods
- Never risk more than you can afford to lose
- Past performance does not indicate future results
The VWAP OracleOverview
The VWAP Oracle is a sophisticated overlay indicator that elevates VWAP (Volume Weighted Average Price) from a simple benchmark to an intelligent oracle for intraday and swing decisions. It offers flexible anchoring (rolling MVWAP, weekly, monthly, yearly) with session options, augmented by heuristic "AI/ML" elements for trend forecasting, dynamic S/R identification, and mean-reversion pullback strategies. A comprehensive dashboard delivers at-a-glance intel on trends, roles, touch history, and trade stats, complemented by visual zones, entry shapes, and alerts. Tailored for active traders in equities, forex, or futures, this iteration refines state handling and role logic for seamless execution on Pine v6.
Core Mechanics
Built around robust VWAP computations with layered analytics:
VWAP Framework: Primary line via user-selected type—Rolling (volume-weighted over lookback bars for agility), or Anchored (resets on week/month/year changes). HLC3 source standard; regular or 24h sessions. Toggles for secondary lines (e.g., weekly in orange for context).
Heuristic Enhancements: ATR safeguards (min tick fallback) normalize zones (± sensitivity * ATR for touches) and distances (e.g., 3x for setups). Linear regression over lookback derives slope (ATR-scaled for cross-asset comparability), flagging strong trends (> threshold) with rising/falling confirmation and volume >20-bar SMA.
Role & Proximity Engine: Scans enabled VWAPs globally—assigns nearest as support (price above, higher value prioritized) or resistance (below, lower prioritized), e.g., "Weekly" if closest. Tracks main VWAP touches for strength tiers (Weak <3, Moderate 3-4, Strong 5-7, Proven ≥8).
Pullback Strategy: In validated trends (slope + price move + volume), distant deviations (> ATR multiple) trigger "awaiting" state. Confirms entries on fresh touches with directional candles (close > open for longs), setting ATR-based stops (1x offset from VWAP) and targets (2x extension). Manages to hit (success tally) or breach (reset); daily/anchor resets clear stats.
Outputs: Trend-colored VWAP (blue/red in strong regimes, gray in range), role-tinted zones (green/red fill), triangles for entries, labels for outcomes.
Why This Mashup Adds Value & Originality
Traditional VWAPs are passive lines; multi-anchor plots add clutter without synthesis. Here, the fusion of anchored/rolling VWAPs with regression-normalized "AI" slope (volatility-adjusted for invariance) and touch-based strength scoring forms a predictive layer—e.g., "Proven" supports from 8+ interactions signal higher-probability bounces than raw levels. Stateful pullback logic (distant setup → touch entry → managed exit) with explicit breach cancels differentiates it from basic deviation oscillators, while the 11-row dashboard (trend icons, nearest roles, live success %) consolidates what would take multiple indicators. Global role reassignment (no function var limits) ensures accuracy, creating a unified "oracle" for confluence without redundancy—ideal for evolving static VWAP into adaptive decision support.
How to Use
Configuration: Overlay on chart. VWAP: Pick Rolling for scalps (252-bar default); enable weeklies for bias. AI: ATR 14, sensitivity 0.5 (tighter for precision). Trade: 3x min distance setups, 2x/1x target/stop. Visuals: Dashboard top-right, zones on, signals toggled.
Dashboard Readout (semi-opaque black, size-adjustable):
Header/Type: "The VWAP Oracle" + active (e.g., "Rolling (MVWAP)").
Trend: 🔵/🔴 Strong or ⚪ Range—align trades accordingly.
Nearest S/R: "Main" support (green) for bounces; "Monthly" resistance (red) for fades.
Strength/Role: "Strong (5 touches)"; "Support" for current main bias.
Position: "🔄 Pullback Setup" flags opportunity; "⏳ Awaiting" pre-entry.
Success/Setup: "80% (4/5)"; 🟢 Long Active if running; volume "✅ Strong" validates.
Execution: Strong bull + distant alert → Long on green triangle touch → Trail to target label (✓) or stop (✗). Use zones for invalidation; alerts cover setups/hits. Suits 15m-4H on majors like NAS100.
Pro Tips: Backtest resets (daily intraday); tweak slope threshold (1.5) for noise.
Limitations & Disclaimer
Touches and entries confirm on close, introducing minor lag; rolling VWAP smooths but may trail sharp moves. Slope can oscillate in transitions—add manual filters. Stats reset periodically (e.g., daily), so sample sizes vary; "success" is backward-looking. No auto-sizing—cap risk at 1% equity. v6-optimized, but verify on live data. Not advice; simulate trades, as history ≠ future. Feedback welcome in comments.
TTM Squeeze Pro - IntradayTTM Squeeze Pro – Intraday (AI MTF Edition)
Design Rationale
This indicator is built to help traders identify when markets are consolidating, when volatility is building (squeeze), and when a breakout or trend is starting — all across multiple timeframes.
The design combines three powerful ideas:
Volatility Compression & Expansion (TTM Squeeze Logic):
By comparing Bollinger Bands (BB) and Keltner Channels (KC), the indicator detects when volatility contracts (BB inside KC). These moments often precede explosive moves. White dots on the BB basis line mark these “squeeze” periods.
Trend Strength & Direction (ADX System):
The ADX (Average Directional Index) measures how strong a trend is.
ADX rising above the threshold → trending market.
ADX falling below the threshold → consolidation.
The system classifies each bar as Trending Up, Trending Down, Consolidating, or Neutral, depending on ADX and momentum direction.
Multi-Timeframe (MTF) Alignment:
The same logic is applied to several timeframes (1m, 3m, 5m, 15m, 30m, 1h).
A compact table at the top-right shows each timeframe’s trend and squeeze strength.
This helps traders see whether short-term and higher timeframes are aligned, improving trade confidence and timing.
The AI Enhancer automatically adjusts all parameters (ADX, BB, KC lengths, and thresholds) depending on the current chart timeframe, keeping signals consistent between scalping and swing trading setups.
Trend and squeeze strengths are normalized on a 1–9 scale, giving users a quick numerical sense of trend power and squeeze intensity. The design emphasizes clarity, speed, and adaptability — critical for intraday trading decisions.
How to Use
Identify a Squeeze Setup:
Look for white dots on the chart — this marks low volatility and potential energy buildup.
Wait for Breakout Confirmation:
When the white dots disappear, volatility expands.
Check the MTF table — if multiple timeframes show green (uptrend) or red (downtrend) in the “TR” column, momentum is aligning.
Enter the Trade:
Go long if breakout happens above BB basis and most timeframes show green.
Go short if breakout happens below BB basis and most timeframes show red.
Exit or Manage Position:
When new white dots appear → volatility contracting again → consider exiting or tightening stops.
If MTF colors become mixed → trend losing strength.
In Summary
The TTM Squeeze Pro – Intraday AI MTF Indicator blends volatility analysis, trend strength, momentum, and multi-timeframe alignment into one adaptive tool.
Its design aims to simplify complex market behavior into a visual, data-backed format — enabling traders to catch high-probability breakout trends early and avoid false moves during low-volatility phases.
Aggregation Index SmoothedAggregation Index Smoothed (AIS) - Multi-Method Trend Consensus Oscillator
What This Indicator Does
The Aggregation Index Smoothed combines four independent trend-detection methodologies into a unified momentum oscillator that operates across multiple timeframes simultaneously. Unlike traditional single-method indicators that can produce conflicting or false signals during market transitions, AIS requires consensus agreement across all four calculation methods before confirming trend direction.
Technical Methodology
Four-Component Loop System
Each component analyzes 16 different lookback periods (default range: 5-20 bars), creating a multi-timeframe perspective within a single calculation:
1. Price Change Analysis
Measures directional price movement across all periods. Each period scores +1 for positive change or -1 for negative change. Results are averaged and scaled to ±100.
2. RSI Multi-Period Analysis
Evaluates Relative Strength Index values across the same 16 periods. Scores +1 when RSI > 50 (momentum favoring bulls) or -1 when RSI < 50 (momentum favoring bears). This captures overbought/oversold conditions across multiple timeframes.
3. EMA Trend Position
Compares current price against Exponential Moving Averages of varying lengths (5-20 periods). Scores +1 when price trades above EMA (uptrend) or -1 when below (downtrend). This identifies trend alignment across short, medium, and longer-term moving averages.
4. Momentum Rate-of-Change
Calculates price momentum across all periods using the mom() function. Scores +1 for positive momentum or -1 for negative momentum, detecting acceleration and deceleration patterns.
Aggregation Process
Each of the four indicators independently calculates scores across all 16 periods
Individual indicator scores are averaged (range: -100 to +100)
All four indicator averages are combined using arithmetic mean
The resulting index undergoes EMA smoothing (default: 20 periods)
Optional double-smoothing applies a second EMA pass for maximum noise reduction
Why This Approach Is Unique
Problem Solved: Traditional oscillators often conflict - RSI might be bullish while MACD is bearish, or stochastic shows oversold while price trend is clearly down. Traders waste time reconciling these contradictions.
Solution: AIS eliminates conflicts by design. A bullish signal (+10 threshold) means all four methods across all 16 timeframes agree on upward momentum. This consensus approach dramatically reduces whipsaws and false signals compared to using any single method.
Technical Advantage: The for-loop methodology validates each signal across a spectrum of timeframes (5 bars through 20 bars), ensuring the trend is confirmed in both immediate-term and intermediate-term contexts. This is mathematically equivalent to running 64 separate indicators (4 methods × 16 periods) and requiring majority agreement.
Signal Generation
Long Signal (Bullish): Index crosses above +10 threshold
Indicates all four methods confirm upward momentum across multiple timeframes
Sustained readings above +10 suggest strong trend continuation
Short Signal (Bearish): Index crosses below -10 threshold
Indicates all four methods confirm downward momentum across multiple timeframes
Sustained readings below -10 suggest strong downtrend
Neutral Zone (-10 to +10): Mixed signals or consolidation
Methods disagree on direction, suggesting choppy or range-bound conditions
Avoid trend-following strategies in this zone
How to Use This Indicator
Best Practices
Timeframe Selection:
Most effective on 4-hour charts and higher (Daily, Weekly)
Lower timeframes (1H, 15m) may produce excessive signals despite smoothing
The 16-period loop range is optimized for swing trading timeframes
Entry Strategy:
Wait for index to cross threshold levels (±10)
Confirm with price action (breakout, support/resistance levels)
Consider entering on first pullback after threshold cross for better risk/reward
Parameter Adjustment:
Volatile instruments (crypto, small-caps): Increase thresholds to ±15 or ±20 to filter noise
Stable instruments (large-cap stocks, indices): Reduce thresholds to ±5 for earlier signals
Smoothing Length: Increase to 30+ for cleaner signals; decrease to 10-15 for faster response
Double Smoothing: Keep enabled for trend following; disable for more reactive signals
Risk Management:
Exit longs when index drops back into neutral zone (below +10)
Exit shorts when index rises into neutral zone (above -10)
Use index slope as trend strength indicator (steeper = stronger)
Interpretation Guidelines
Strong Trending Conditions:
Index sustained above +50 or below -50 indicates powerful directional move
All four methods showing extreme agreement across all timeframes
High probability of trend continuation
Trend Exhaustion Signals:
Index reaches extreme levels (+80 to +100 or -80 to -100)
Potential reversal zone; watch for divergence with price
Consider taking partial profits on existing positions
Divergence Detection:
Price makes new highs while index fails to confirm = bearish divergence
Price makes new lows while index shows higher lows = bullish divergence
Divergences on 4H+ timeframes carry significant weight
Limitations and Considerations
Not Suitable For:
Scalping or very short-term trading (under 1-hour timeframes)
Range-bound markets with no clear trend (index oscillates in neutral zone)
Instruments with erratic, news-driven price action
Known Lag:
Double smoothing introduces 40+ bar delay in signal generation
Designed for trend confirmation, not early trend detection
Fast market reversals may produce late exit signals
Complementary Tools:
Combine with support/resistance levels for entry precision
Use with volume analysis to confirm signal strength
Pair with volatility indicators (ATR) for position sizing
Technical Implementation Notes
The indicator pre-calculates all RSI and EMA values for lengths 5-20 to comply with Pine Script's requirement for constant-length parameters in ta.rsi() and ta.ema() functions. This workaround allows dynamic loop-based analysis while maintaining calculation consistency on every bar.
The scoring methodology uses binary classification (+1/-1) rather than normalized percentage values to ensure equal weighting across all four methods, preventing any single indicator from dominating the aggregate signal.
Summary: The Aggregation Index Smoothed provides trend confirmation through multi-method consensus across variable timeframes. Its primary value is eliminating the confusion of conflicting indicator signals by requiring agreement from four independent trend calculations before generating actionable signals. Best suited for swing traders and position traders on 4-hour and higher timeframes seeking high-probability trend-following entries with reduced false signals.
Aethix Cipher Pro2Aethix Cipher Pro: AI-Enhanced Crypto Signal Indicator grok Ai made signal created for aethix users.
Unlock the future of crypto trading with Aethix Cipher Pro—a powerhouse indicator inspired by Market Cipher A, turbocharged for Aethix.io users! Built on WaveTrend Oscillator, 8-EMA Ribbon, RSI+MFI, and custom enhancements like Grok AI confidence levels (70-100%), on-chain whale volume thresholds, and fun meme alerts ("To the moon! 🌕").
Key Features: no whale tabs
WaveTrend Signals: Spot overbought/oversold with levels at ±53/60/100—crosses trigger red diamonds, blood diamonds, yellow X's for high-prob buy/sell entries.
Neon Teal EMA Ribbon: Dynamic 5-34 EMA gradient (bullish teal/bearish red) for trend direction—crossovers plot green/red circles, blue triangles.
RSI+MFI Fusion: Overbought (70+)/oversold (30-) with long snippets for sentiment edges.
Aethix Cipher Pro2Aethix Cipher Pro: AI-Enhanced Crypto Signal Indicator grok Ai made signal created for aethix users.
Unlock the future of crypto trading with Aethix Cipher Pro—a powerhouse indicator inspired by Market Cipher A, turbocharged for Aethix.io users! Built on WaveTrend Oscillator, 8-EMA Ribbon, RSI+MFI, and custom enhancements like Grok AI confidence levels (70-100%), on-chain whale volume thresholds, and fun meme alerts ("To the moon! 🌕").
Key Features:
WaveTrend Signals: Spot overbought/oversold with levels at ±53/60/100—crosses trigger red diamonds, blood diamonds, yellow X's for high-prob buy/sell entries.
Neon Teal EMA Ribbon: Dynamic 5-34 EMA gradient (bullish teal/bearish red) for trend direction—crossovers plot green/red circles, blue triangles.
RSI+MFI Fusion: Overbought (70+)/oversold (30-) with long snippets for sentiment edges.
Aethix Cipher ProAethix Cipher Pro: AI-Enhanced Crypto Signal Indicator grok Ai made signal created for aethix users.
Unlock the future of crypto trading with Aethix Cipher Pro—a powerhouse indicator inspired by Market Cipher A, turbocharged for Aethix.io users! Built on WaveTrend Oscillator, 8-EMA Ribbon, RSI+MFI, and custom enhancements like Grok AI confidence levels (70-100%), on-chain whale volume thresholds, and fun meme alerts ("To the moon! 🌕").
Key Features:
WaveTrend Signals: Spot overbought/oversold with levels at ±53/60/100—crosses trigger red diamonds, blood diamonds, yellow X's for high-prob buy/sell entries.
Neon Teal EMA Ribbon: Dynamic 5-34 EMA gradient (bullish teal/bearish red) for trend direction—crossovers plot green/red circles, blue triangles.
RSI+MFI Fusion: Overbought (70+)/oversold (30-) with long snippets for sentiment edges.
Crypto Narratives Performance [SwissAlgo]Crypto Narratives Performance Index
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What this indicator is
This script displays a relative performance index that compares the market capitalization trends of various crypto categories (narratives) against a selected 'Base asset' (BTC, ETH, or SOL) over a configurable rolling time window (default: 14-day).
It’s designed to help users observe sector rotation dynamics across the crypto ecosystem — such as whether DeFi is outperforming ETH, or if AI coins are underperforming relative to BTC.
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What it does
This indicator measures the percentage change in total market cap of a selected crypto sector over a user-defined lookback period, and compares it to the percentage change in market cap of a chosen base asset over the same period. The result is expressed as a ratio and transformed into a z-score, normalized over the last 180 bars. This allows the user to easily identify whether the sector is outperforming or underperforming the base asset in relative terms.
It also includes a smoothed signal line, a performance table, and marked background zones (levels of standard deviations) to help interpret potential extremes in sector outperformance or underperformance.
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How it works
It retrieves daily market capitalization data for both the selected base asset and sector from TradingView's CRYPTOCAP: data feed.
It computes the percent change in $ market cap over one of the following selectable periods: 1, 3, 7, 14, 30, or 60 days (14-day is the default).
The percentage change of the base is subtracted from the percentage change of the sector, producing a raw relative performance differential.
This differential is then normalized into a Z-Score, using a 180-day rolling mean and standard deviation.
The Z-Score is smoothed using an exponential moving average (EMA), and plotted against a secondary EMA signal line (to track potential performance trend changes).
A visual table compares the performance of all listed sectors against the selected base, ranked and annotated with basic symbols (stars for performance, alerts for underperformance vs. the selected 'Base Asset', i.e. BTC or ETH or SOL).
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Visual Features
* Color-coded plot line: Turns green, yellow, orange, or red based on zone and momentum.
* Signal line: Gray EMA of the z-score for trend comparison.
* Background fill zones:
±3 = "Extreme" outperform/underperform
±2 to ±3 = "Strong" zone
±1 to ±2 = Mild over/underperformance
±1 to -1 = Neutral performance range
* Dynamic Table:
Displays all sector vs. base performance differences.
Highlights the selected comparison sector.
Uses emojis (⭐/⚠️) for relative status at a glance.
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Who may benefit
This script may assist:
Crypto analysts tracking capital rotation across narratives.
Swing traders looking to spot momentum trends in crypto sectors.
Portfolio allocators observing which groups are leading or lagging relative to majors (BTC, ETH, SOL).
Developers or researchers evaluating sentiment shifts across categories (e.g., AI tokens rising vs. DeFi).
It is not a buy/sell signal tool — it's a sector/crypto narratives -relative monitor.
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Key Applications
Detect sector rotation (e.g., when Layer 1s start to outperform ETH, or BTC/SOL).
Monitor if certain categories are experiencing sustained interest or fading momentum.
Compare the strength of emerging narratives like DePIN, RWA, or World Liberty vs. majors.
Identify possible "mean-reversion" setups when a sector is excessively stretched relative to its historical norm.
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Limitations
Data dependency: All calculations rely on TradingView’s CRYPTOCAP: market cap feeds.
Normalization window: The z-score normalization is static at 180 bars; in choppy markets this may over-smooth or underreact.
Asset inclusion: The sectors reflect predefined index aggregates. Not all coins in a category may be equally weighted or relevant.
Lag: EMA smoothing introduces delay in reactive plotting.
No intra-day support: Works best on daily timeframes, as CRYPTOCAP: feeds are daily-only.
Not predictive: This script reflects past capital flows. It does not forecast future price moves.
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Customization
Users can adjust the following:
Base asset: BTC, ETH, SOL
Crypto sector (comparison): Choose from 11+ sectors, including DeFi, AI, Memes, Layer 1, etc.
Rolling performance period: Choose between 1–60 days.
Smoothing settings: Length of the EMA for the ratio and signal line.
Show/hide info table: Useful for screen space management.
Special Notes:
Please set the chart timeframe at 1-day in line with CRYPTOCAP data availability.
Please select the dark color scheme to view table and colors properly.
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Risk Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice, trading advice, or an invitation to engage in any financial strategy. Always conduct your own due diligence before making investment decisions. Use at your own risk.
Market conditions may shift rapidly, and past sector performance is not necessarily indicative of future outcomes. This tool is best used as part of a broader analytical framework, not in isolation.
Protected script: source code is hidden to preserve logic integrity and prevent tampering.
If you need clarification or encounter unexpected behavior with data feeds, please check the TradingView Help Center or post in the "Indicators and Strategies" section of the TradingView community.
CyberCandle SwiftEdgeCyberCandle SwiftEdge
Overview
CyberCandle SwiftEdge is a cutting-edge, AI-inspired trading indicator designed for traders seeking precision and clarity in trend-following and swing trading. Powered by SwiftEdge, it combines Heikin Ashi candles, a gradient-colored Exponential Moving Average (EMA), and a Relative Strength Index (RSI) to deliver clear buy and sell signals. Featuring glowing visuals, dynamic signal icons, and a customizable RSI dashboard in the top-right corner, this script offers a futuristic interface for identifying high-probability trade setups on various timeframes (e.g., 1H, 4H).
What It Does
CyberCandle SwiftEdge integrates three powerful components to generate actionable trading signals:
Heikin Ashi Candles: Smooths price action to highlight trends, reducing market noise and making reversals easier to spot.
Gradient EMA: A 100-period EMA with dynamic color transitions (blue/cyan for uptrends, red/pink for downtrends) to confirm market direction.
RSI Dashboard: A neon-lit display showing RSI levels, indicating overbought (>70), oversold (<30), or neutral (30-70) conditions.
Buy and sell signals are marked with prominent, glowing icons (triangles and arrows) based on trend direction, momentum, and specific Heikin Ashi patterns. The script’s customizable parameters allow traders to tailor the strategy to their preferences, balancing signal frequency and precision.
How It Works
The strategy leverages the synergy of Heikin Ashi, EMA, and RSI to filter trades and highlight opportunities:
Trend Direction: The price must be above the EMA for buy signals (bullish trend) or below for sell signals (bearish trend). The EMA’s gradient color shifts based on its slope, visually reinforcing trend strength.
Momentum Confirmation: RSI must exceed a user-defined threshold (default: 50) for buy signals or fall below it for sell signals, ensuring momentum supports the trade.
Candle Patterns: Buy signals require a green Heikin Ashi candle (close > open), with the two prior candles having minimal upper wicks (≤5% of candle body) and being red (indicating a retracement). Sell signals require a red candle, minimal lower wicks, and two prior green candles.
RSI Dashboard: Positioned in the top-right corner, it features a glowing circle (red for overbought, green for oversold, blue for neutral), the current RSI value, and a status indicator (triangle for extremes, square for neutral). This provides instant momentum insights without cluttering the chart.
By combining Heikin Ashi’s trend clarity, EMA’s directional filter, and RSI’s momentum validation, CyberCandle SwiftEdge minimizes false signals and highlights trades with strong potential. Its vibrant, AI-like visuals make it easy to interpret at a glance.
How to Use It
Add to Chart: In TradingView, search for "CyberCandle SwiftEdge" and add it to your chart. Set the chart to Heikin Ashi candles for optimal compatibility.
Interpret Signals:
Buy Signal: Large green triangles and arrows appear below candles when the price is above the EMA, RSI is above the buy threshold (default: 50), and conditions for a bullish retracement are met. Consider entering a long position with a 1:2 risk/reward ratio.
Sell Signal: Large red triangles and arrows appear above candles when the price is below the EMA, RSI is below the sell threshold (default: 50), and conditions for a bearish retracement are met. Consider entering a short position.
RSI Dashboard: Monitor the top-right dashboard. A red circle (RSI > 70) suggests caution for buys, a green circle (RSI < 30) indicates potential buying opportunities, and a blue circle (RSI 30-70) signals neutrality.
Customize Parameters: Open the indicator’s settings to adjust:
EMA Length (default: 100): Increase (e.g., 200) for longer-term trends or decrease (e.g., 50) for shorter-term sensitivity.
RSI Length (default: 14): Adjust for more (e.g., 7) or less (e.g., 21) responsive momentum signals.
RSI Buy/Sell Thresholds (default: 50): Set higher (e.g., 55) for buys or lower (e.g., 45) for sells to require stronger momentum.
Wick Tolerance (default: 0.05): Increase (e.g., 0.1) to allow larger wicks, generating more signals, or decrease (e.g., 0.02) for stricter conditions.
Require Retracement (default: true): Disable to remove the two-candle retracement requirement, increasing signal frequency.
Trading: Use signals in conjunction with the RSI dashboard and market context. For example, avoid buy signals if the RSI dashboard is red (overbought). Always apply proper risk management, such as setting stop-losses based on recent lows/highs.
What Makes It Original
CyberCandle SwiftEdge stands out due to its futuristic, AI-inspired visual design and user-friendly customization:
Neon Aesthetics: Glowing Heikin Ashi candles, gradient EMA, and dynamic signal icons (triangles and arrows) with RSI-driven transparency create a high-tech, immersive experience.
RSI Dashboard: A compact, top-right display with a neon circle, RSI value, and adaptive status indicator (triangle/square) provides instant momentum insights without cluttering the chart.
Customizability: Users can fine-tune EMA length, RSI parameters, wick tolerance, and retracement requirements via TradingView’s settings, balancing signal frequency and precision.
Integrated Approach: The synergy of Heikin Ashi’s trend clarity, EMA’s directional strength, and RSI’s momentum validation offers a cohesive strategy that reduces false signals.
Why This Combination?
The script combines Heikin Ashi, EMA, and RSI for a complementary effect:
Heikin Ashi smooths price fluctuations, making it ideal for identifying sustained trends and retracements, which are critical for the strategy’s signal logic.
EMA provides a reliable trend filter, ensuring signals align with the broader market direction. Its gradient color enhances visual trend recognition.
RSI adds momentum context, confirming that signals occur during favorable conditions (e.g., RSI > 50 for buys). The dashboard makes RSI intuitive, even for non-technical users.
Together, these components create a balanced system that captures trend reversals after retracements, validated by momentum, with a visually engaging interface that simplifies decision-making.
Tips
Best used on volatile assets (e.g., BTC/USD, EUR/USD) and higher timeframes (1H, 4H) for clearer trends.
Experiment with parameters in the settings to match your trading style (e.g., increase wick tolerance for more signals).
Combine with other analysis (e.g., support/resistance) for higher-confidence trades.
Note
This indicator is for informational purposes and does not guarantee profits. Always backtest and use proper risk management before trading.
ICT Swiftedge# ICT SwiftEdge: Advanced Market Structure Trading System
**Overview**
ICT SwiftEdge is a powerful trading system built upon the foundation of ICTProTools' ICT Breakers, licensed under the Mozilla Public License 2.0 (mozilla.org). This script has been significantly enhanced by to combine market structure analysis with modern technical indicators and a sleek, AI-inspired statistics dashboard. The goal is to provide traders with a comprehensive tool for identifying high-probability trade setups, managing exits, and tracking performance in a visually intuitive way.
**Credits**
This script is a derivative work based on the original "ICT Breakers" by ICTProTools, used with permission under the Mozilla Public License 2.0. Significant enhancements, including RSI-MA signals, trend filtering, dynamic timeframe adjustments, dual exit strategies, and an AI-style statistics dashboard, were developed by . We express our gratitude to ICTProTools for their foundational work in market structure analysis.
**What It Does**
ICT SwiftEdge integrates multiple trading concepts to help traders identify and manage trades based on market structure and momentum:
- **Market Structure Analysis**: Identifies Break of Structure (BOS) and Market Structure Shift (MSS) patterns, which signal potential trend continuations or reversals. BOS indicates a continuation of the current trend, while MSS highlights a shift in market direction, providing key entry points.
- **RSI-MA Signals**: Generates "BUY" and "SELL" signals when BOS or MSS patterns align with the Relative Strength Index (RSI) smoothed by a Moving Average (RSI-MA). Signals are filtered to occur only when RSI-MA is above 50 (for buys) or below 50 (for sells), ensuring momentum supports the trade direction.
- **Trend Filtering**: Prevents multiple signals in the same trend, ensuring only one buy or sell signal per trend direction, reducing noise and improving trade clarity.
- **Dynamic Timeframe Adjustment**: Automatically adjusts pivot points, RSI, and MA parameters based on the selected chart timeframe (1M to 1D), optimizing performance across different market conditions.
- **Flexible Exit Strategies**: Offers two user-selectable exit methods:
- **Trailing Stop-Loss (TSL)**: Exits trades when price moves against the position by a user-defined distance (in points), locking in profits or limiting losses.
- **RSI-MA Exit**: Exits trades when RSI-MA crosses the 50 level, signaling a potential loss of momentum.
- Users can enable either or both strategies, providing flexibility to adapt to different trading styles.
- **AI-Style Statistics Dashboard**: Displays real-time trade performance metrics in a futuristic, neon-colored interface, including total trades, wins, losses, win/loss ratio, and win percentage. This helps traders evaluate the system's effectiveness without external tools.
**Why This Combination?**
The integration of these components creates a synergistic trading system:
- **BOS/MSS and RSI-MA**: Combining market structure breaks with RSI-MA ensures entries are based on both price action (structure) and momentum (RSI-MA), increasing the likelihood of high-probability trades.
- **Trend Filtering**: By limiting signals to one per trend, the system avoids overtrading and focuses on significant market moves.
- **Dynamic Adjustments**: Timeframe-specific parameters make the system versatile, suitable for scalping (1M, 5M) or swing trading (4H, 1D).
- **Dual Exit Strategies**: TSL protects profits during trending markets, while RSI-MA exits are ideal for range-bound or reversing markets, catering to diverse market conditions.
- **Statistics Dashboard**: Provides immediate feedback on trade performance, enabling data-driven decision-making without manual tracking.
This combination balances technical precision with user-friendly visuals, making it accessible to both novice and experienced traders.
**How to Use**
1. **Add to Chart**: Apply the script to any TradingView chart.
2. **Configure Settings**:
- **Chart Timeframe**: Select your chart's timeframe (1M to 1D) to optimize parameters.
- **Structure Timeframe**: Choose a timeframe for market structure analysis (leave blank for chart timeframe).
- **Exit Strategy**: Enable Trailing Stop-Loss (`useTslExit`), RSI-MA Exit (`useRsiMaExit`), or both. Adjust `tslPoints` for TSL distance.
- **Show Signals/Labels**: Toggle `showSignals` and `showExit` to display "BUY", "SELL", and "EXIT" labels.
- **Dashboard**: Enable `showDashboard` to view trade statistics. Customize colors with `dashboardBgColor` and `dashboardTextColor`.
3. **Trading**:
- Look for "BUY" or "SELL" labels to enter trades when BOS/MSS aligns with RSI-MA.
- Exit trades at "EXIT" labels based on your chosen strategy.
- Monitor the statistics dashboard to track performance (total trades, win/loss ratio, win percentage).
4. **Alerts**: Set up alerts for BOS, MSS, buy, sell, or exit signals using the provided alert conditions.
**License**
This script is licensed under the Mozilla Public License 2.0 (mozilla.org). The source code is available for review and modification under the terms of this license.
**Compliance with TradingView House Rules**
This publication adheres to TradingView's House Rules and Scripts Publication Rules. It provides a clear, self-contained description of the script's functionality, credits the original author (ICTProTools), and explains the rationale for combining indicators. The script contains no promotional content, offensive language, or proprietary restrictions beyond MPL 2.0.
**Note**
Trading involves risk, and past performance is not indicative of future results. Always backtest and validate the system on your preferred markets and timeframes before live trading.
Enjoy trading with ICT SwiftEdge, and let data-driven insights guide your decisions!
VWAP + EMA Retracement Indicator SwiftEdgeVWAP + EMA Retracement Indicator
Overview
The VWAP + EMA Retracement Indicator is a powerful and visually engaging tool designed to help traders identify high-probability buy and sell opportunities in trending markets. By combining the Volume Weighted Average Price (VWAP) with two Exponential Moving Averages (EMAs) and a unique retracement-based signal logic, this indicator pinpoints moments when the price pulls back to a key zone before resuming its trend. Its modern, AI-inspired visuals and customizable features make it both intuitive and adaptable for traders of all levels.
What It Does
This indicator generates buy and sell signals based on a sophisticated yet straightforward strategy:
Buy Signals: Triggered when the price is above VWAP, has recently retraced to the zone between two EMAs (default 12 and 21 periods), and a strong bullish candle closes above both EMAs.
Sell Signals: Triggered when the price is below VWAP, has retraced to the EMA zone, and a strong bearish candle closes below both EMAs.
Signal Filtering: A customizable cooldown period ensures that only the first signal in a sequence is shown, reducing noise while preserving opportunities for new trends.
Confidence Scores: Each signal includes an AI-inspired confidence score (0-100%), calculated from candle strength and price distance to VWAP, helping traders gauge signal reliability.
The indicator’s visuals enhance decision-making with dynamic gradient lines, a highlighted retracement zone, and clear signal labels, all customizable to suit your preferences.
How It Works
The indicator integrates several components that work together to create a cohesive trading tool:
VWAP: Acts as a dynamic support/resistance level, reflecting the average price weighted by volume. It filters signals to ensure buys occur in uptrends (price above VWAP) and sells in downtrends (price below VWAP).
Dual EMAs: Two EMAs (default 12 and 21 periods) define a retracement zone where the price is likely to consolidate before continuing its trend. Signals are generated only after the price exits this zone with conviction.
Retracement Logic: The indicator looks for price pullbacks to the EMA zone within a user-defined lookback window (default 5 candles), ensuring signals align with trend continuation patterns.
Candle Strength: Signals require strong candles (bullish for buys, bearish for sells) with a minimum body size based on the Average True Range (ATR), filtering out weak or indecisive moves.
Cooldown Mechanism: A unique feature that prevents signal clutter by allowing only the first signal within a user-defined period (default 3 candles), balancing responsiveness with clarity.
Confidence Score: Combines candle body size and price distance to VWAP to assign a score, giving traders an at-a-glance measure of signal strength without needing external analysis.
These components are carefully combined to capture high-probability setups while minimizing false signals, making the indicator suitable for both short-term and swing trading.
How to Use It
Add to Chart: Apply the indicator to a 15-minute chart (recommended) or your preferred timeframe.
Customize Settings:
VWAP Source: Choose the price source (default: hlc3).
EMA Periods: Adjust the fast and slow EMA periods (default: 12 and 21).
Retracement Window: Set how many candles to look back for retracement (default: 5).
ATR Period & Body Size: Define candle strength requirements (default: 14 ATR period, 0.3 multiplier).
Cooldown Period: Control the minimum candles between signals (default: 3; set to 0 to disable).
Candle Requirements: Toggle whether signals require bullish/bearish candles or entire candle above/below EMAs.
Visuals: Enable/disable gradient colors, retracement zone, confidence scores, and choose a color scheme (Neon, Light, or Dark).
Interpret Signals:
Buy: A green "Buy" label with a confidence score appears below the candle when conditions are met.
Sell: A red "Sell" label with a confidence score appears above the candle.
Use the confidence score to prioritize higher-probability signals (e.g., above 80%).
Trade Management: Combine signals with your risk management strategy, such as setting stop-loss below the retracement zone and targeting a 1:2 risk-reward ratio.
Why It’s Unique
The VWAP + EMA Retracement Indicator stands out due to its thoughtful integration of classic indicators with modern enhancements:
Balanced Signal Filtering: The cooldown mechanism ensures clarity without missing key opportunities, unlike many indicators that overwhelm with frequent signals.
AI-Inspired Confidence: The confidence score simplifies decision-making by quantifying signal strength, mimicking advanced analytical tools in an accessible way.
Elegant Visuals: Dynamic gradients, a highlighted retracement zone, and customizable color schemes (Neon, Light, Dark) create a sleek, futuristic interface that’s both functional and visually appealing.
Flexibility: Extensive customization options let traders tailor the indicator to their style, from conservative swing trading to aggressive scalping.
PVSRA Volume Suite with Volume DeltaPVSRA Volume Suite with Volume Delta
🔹 Overview
This indicator is a Volume Suite that enhances PVSRA (Price, Volume, Support, Resistance Analysis) by incorporating Volume Delta and AI-driven predictive alerts. It is designed to help traders analyze volume pressure, market trends, and price movements with color-coded visualizations.
📌 Key Features
PVSRA Volume Color Coding – Highlights vector candles based on extreme volume/spread conditions.
Volume Delta Analysis – Tracks buying/selling pressure using up/down volume data.
AI-Powered Predictive Alerts – Identifies potential trend shifts based on volume and trend context.
Volatility-Adjusted Thresholds – Dynamically adapts volume conditions based on ATR (Average True Range).
Customizable MA & Symbol Overrides – Allows traders to tweak settings for personalized market insights.
Debug & Diagnostic Labels – Shows statistical z-scores, thresholds, and volume dynamics.
How It Works
PVSRA Color Coding – The script classifies candles into four categories based on volume and spread analysis:
🔴 Red Vector → Extreme bearish volume/spread
🟢 Green Vector → Extreme bullish volume/spread
🟣 Violet Vector → Above-average bearish volume
🔵 Blue Vector → Above-average bullish volume
Volume Delta Calculation – Uses lower timeframe volume analysis to estimate up/down volume differentials.
Trend & Predictive Alerts – Combines EMA crossovers with statistical volume analysis to detect potential trend shifts.
Volatility Adaptation – Adjusts volume thresholds based on ATR, making signals more reliable in changing market conditions.
Custom Symbol Override – Fetches PVSRA data from a different instrument, useful for index-based volume analysis.
Customizable Inputs
PVSRA Color Settings – Modify candle color schemes for better visual clarity.
Volume Delta Colors – Customize delta volume body, wick, and border colors.
AI Settings – Tune z-score thresholds, lookback periods, and enable predictive alerts.
Symbol Overrides – Analyze volume from a different market or asset.
Moving Average (MA) Settings – Display a volume-based moving average for trend confirmation.
Important Notes
Works best on intraday timeframes where volume data is reliable.
Lower timeframe volume delta estimates might not be precise for all assets.
No guarantees of accuracy – Use alongside other confluence tools for decision-making.
Credits & Open-Source Notice
This script is based on PVSRA methodologies and integrates Volume Delta analysis. Special thanks to Traders Reality and TradingView for their contributions to volume-based analysis.
MEMEQUANTMEMEQUANT
This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets.
Key Features:
1. Category-Based Indices:
• Tracks the performance of token categories like:
• AI Agent Tokens
• AI Tokens
• Animal Tokens
• Murad Picks
• Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories.
• Visualizes category indices in a line chart to identify trends and compare money flow between categories.
2. Fibonacci Correction Zones:
• Highlights key retracement levels (e.g., 60%, 70%, 80%).
• These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns.
• Fully customizable to match individual trading strategies.
3. Trend Lines:
• Automatically detects major support and resistance levels.
• Separates long-term and short-term trend lines, allowing traders to focus on significant price movements.
4. Enhanced Info Table:
• Provides real-time insights, including:
• % Distance from All-Time High (ATH)
• Current Trading Volume
• 50-bar Average Volume
• Volume Change Percentage
• Displays information in an easy-to-read table on the chart.
5. Customizable Settings:
• Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table.
• Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences.
How It Works:
1. Tracking Money Flow Across Categories:
• The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend.
• A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation.
2. Identifying Retracement Patterns:
• Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones.
• Combines this with trend line analysis for additional confirmation.
3. Leader Tokens as Indicators:
• Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category.
When to Use:
• Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market.
• Reversal Zones: To spot potential support or resistance levels using Fibonacci zones.
• Money Flow: To understand how capital is moving across different token categories in real time.
Who Is This For?
This script is tailored for:
• Traders specializing in meme coins and DEX tokens.
• Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels.
• Anyone aiming to track money flow dynamics between different token categories.
Future Updates:
This is the initial version of the script. Future updates may include:
• Support for additional token categories and DEX data.
• More advanced pattern recognition and alerts for volume and price anomalies.
• Enhanced visualization for historical data trends.
With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens.
This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
