PINE LIBRARY
DafeUltimateLib

DAFE Ultimate Library: The Universal AI Dashboard & Analysis System
This is the operating system for your next generation of trading tools. Welcome to the future of on-chart intelligence.
█ PHILOSOPHY: BEYOND THE INDICATOR, INTO THE CONSCIOUSNESS
For decades, technical analysis has been a monologue. We load indicators onto our charts, and they give us static, one-dimensional answers: a line, a number, a crossover. They provide data, but they offer no wisdom, no context, no actionable intelligence. They are tools without a mind.
The DAFE Ultimate Library was created to fundamentally shatter this paradigm. It was not designed to be another indicator, but to be the very brain that powers all of your future indicators. This is a professional-grade, open-source library that allows any Pine Script developer to integrate a sophisticated, AI-powered analytical and visualization engine into their own scripts with just a few lines of code.
This library transforms your indicator from a simple data plotter into an intelligent trading assistant. It takes in raw metrics—RSI, MACD, Volume, Volatility—and synthesizes them into a rich, multi-dimensional analysis, complete with a primary bias, confidence score, market state assessment, and a set of dynamic, actionable recommendations. It doesn't just give you the "what"; it gives you the "so what?"
█ WHAT IS THIS LIBRARY? A REVOLUTION IN PINE SCRIPT
This is a foundational shift in what's possible within the TradingView ecosystem.
A Universal AI Brain: At its core is a powerful analysis engine. You feed it any number of metrics from your own custom script—each with its own type (bounded, zero-centric, trend, etc.) and weight—and the AI synthesizes them into a single, cohesive analysis. It's like having a quantitative analyst living inside your indicator.
The ASCII Art Visualization Core: This is the soul of the library. We have pushed the boundaries of what's possible with Pine Script's table and label objects to create a stunning, fully animated, and customizable ASCII art interface. This is not a gimmick; it is a high-information-density display that brings your data to life in a way that is both beautiful and intuitively understandable. Choose from multiple "genders" (Male, Female, Droid) and themes to create an AI assistant that fits your personal aesthetic.
Open & Extensible Framework: This is a library, not a closed black box. It is designed to be the foundation for a new generation of "smart" indicators. I provide a simple, powerful API (Application Programming Interface) that allows any developer to plug their own unique metrics into the DAFE AI brain and instantly gain access to its analytical and visualization power.
Human-Readable Intelligence: The output is not just numbers. The AI communicates in natural language. It provides you with its "Thoughts" ("Bullish momentum across 3 metrics," "Structural weakness developing") and a set of "Recommended Actions" ("ACCUMULATE on pullbacks," "TIGHTEN stops") that adapt in real-time to the changing market conditions.
█ HOW IT WORKS: THE ARCHITECTURE OF AN AI
The library operates on a simple but powerful three-stage pipeline.
Stage 1: Metric Ingestion (The Senses)
As a developer, you first define the "senses" of your AI. Using the library's simple create_metric functions, you tell the AI what to look at. This is a highly flexible system that can handle any type of data your indicator produces. You define the metric's name, its current value, its "mode" of operation, and its relative importance (weight). The available modes allow the AI to correctly interpret any data source:
metric_bounded: For oscillators like RSI or Stochastics that move between set levels (e.g., 0-100).
metric_zero: For indicators like MACD or a Momentum oscillator that fluctuate around a central zero line.
metric_trend: For moving averages or trend lines, analyzing their position relative to price.
metric_volume / metric_volatility: Specialized metrics for analyzing volume and volatility events against high/low thresholds.
Stage 2: The Analysis Engine (The Brain)
On every bar, the library takes the updated metric values and feeds them into its core analytical model. This is where the magic happens.
Normalization: Each metric is processed according to its "mode" and converted into a standardized signal score from -100 (extremely bearish) to +100 (extremely bullish). This allows the AI to compare apples and oranges—an RSI of 80 can now be directly compared to a MACD histogram of 0.5.
Synthesis: The AI calculates a composite score by taking a weighted average of all the individual metric signals. This gives a single, unified view of the market's state based on all available evidence.
State Assessment: It analyzes the distribution of signals (how many are bullish vs. bearish), the number of "extreme" readings (e.g., overbought, high volume), and the overall composite score to determine the current Market State (e.g., "STRONG TREND," "MIXED SIGNALS," "EXTREME CONDITIONS").
Confidence Calculation: The magnitude of the final composite score is translated into a Confidence percentage, representing the strength of the AI's conviction in its current bias.
Natural Language Generation: Based on the final analysis, the engine selects the most appropriate "Thoughts" and "Recommended Actions" from its pre-programmed library of strategic heuristics, providing you with context and a potential game plan.
Stage 3: The Rendering Engine (The Face)
The final analysis is passed to the visualization core, which renders the complete AI Terminal on your chart. This is a masterwork of Pine Script's drawing capabilities.
The Face: The stunning ASCII art face is dynamically generated on every bar. Its Mood (Confident, Focused, Cautious, etc.) is directly determined by the AI's confidence level. Its eyes will even animate with a subtle, customizable Blink cycle, bringing the character to life and creating an unparalleled user experience.
The Dashboard: The surrounding terminal is built, displaying the primary bias, market state, confidence, and the detailed thoughts, active metrics, and recommended actions in a clean, retro-futuristic interface.
Theming: The entire display is colored according to your chosen theme, from the cool greens of "Matrix" to the vibrant pinks of "Neon," allowing for deep personalization.
█ A GUIDE FOR DEVELOPERS: INTEGRATING THE DAFE AI
We have made it incredibly simple to bring your indicators to life with the DAFE AI. This is the true purpose of the library—to empower you.
Import the Library: Add the following line to the top of your script import DskyzInvestments/DafeUltimateLib/1 as dafe
Define Your Metrics: In the barstate.isfirst block of your script, create an array and populate it with the metrics your indicator uses. For example:
var array<dafe.MetricPlugin> my_metrics = array.new<dafe.MetricPlugin>()
if barstate.isfirst
array.push(my_metrics, dafe.metric_bounded("RSI", 50.0, 70.0, 30.0, 1.5))
array.push(my_metrics, dafe.metric_zero("MACD Hist", 0.0, 0.5, 1.0))
Update Your Metrics: On every bar, update the values of your metrics.
dafe.update_metric(array.get(my_metrics, 0), ta.rsi(close, 14))
dafe.update_metric(array.get(my_metrics, 1), macd_histogram_value)
Configure & Render: Create a configuration object from user inputs and call the main render function.
dafe.DafeConfig my_config = dafe.quick_config("Droid", "Cyber")
dafe.render(my_metrics, my_config)
That's it. With these few steps, you have integrated a complete AI dashboard and analysis engine directly into your own script, saving you hundreds of hours of development time and providing your users with a revolutionary interface.
█ DEVELOPMENT PHILOSOPHY
The DAFE Ultimate Library was born from a desire to push the boundaries of Pine Script and to empower the entire TradingView developer community. We believe that the future of technical analysis is not just in creating more complex algorithms, but in building more intelligent and intuitive ways to interact with the data those algorithms provide. This library is our contribution to that future. It is an open-source tool designed to elevate the work of every developer who uses it, fostering a new era of "smart" indicators on the platform.
This library is designed to help you and your users make the best trades by providing a layer of objective, synthesized intelligence that filters out noise, quantifies confidence, and promotes a disciplined, analytical approach to the market.
█ A NOTE TO USERS & DISCLAIMER
THIS IS A LIBRARY: This script does nothing on its own. It is a powerful engine that must be integrated by other indicator developers. It is a tool for builders.
THE AI IS A GUIDE, NOT A GURU: The analysis provided is based on the mathematical synthesis of the metrics it is fed. It is a powerful decision-support tool, but it is not a crystal ball. All trading involves substantial risk.
GARBAGE IN, GARBAGE OUT: The quality of the AI's analysis is directly dependent on the quality and logic of the metrics it is given by the host indicator.
"The goal of a successful trader is to make the best trades. Money is secondary."
— Alexander Elder
Taking you to school. - Dskyz, Trade with DAFE.
This is the operating system for your next generation of trading tools. Welcome to the future of on-chart intelligence.
█ PHILOSOPHY: BEYOND THE INDICATOR, INTO THE CONSCIOUSNESS
For decades, technical analysis has been a monologue. We load indicators onto our charts, and they give us static, one-dimensional answers: a line, a number, a crossover. They provide data, but they offer no wisdom, no context, no actionable intelligence. They are tools without a mind.
The DAFE Ultimate Library was created to fundamentally shatter this paradigm. It was not designed to be another indicator, but to be the very brain that powers all of your future indicators. This is a professional-grade, open-source library that allows any Pine Script developer to integrate a sophisticated, AI-powered analytical and visualization engine into their own scripts with just a few lines of code.
This library transforms your indicator from a simple data plotter into an intelligent trading assistant. It takes in raw metrics—RSI, MACD, Volume, Volatility—and synthesizes them into a rich, multi-dimensional analysis, complete with a primary bias, confidence score, market state assessment, and a set of dynamic, actionable recommendations. It doesn't just give you the "what"; it gives you the "so what?"
█ WHAT IS THIS LIBRARY? A REVOLUTION IN PINE SCRIPT
This is a foundational shift in what's possible within the TradingView ecosystem.
A Universal AI Brain: At its core is a powerful analysis engine. You feed it any number of metrics from your own custom script—each with its own type (bounded, zero-centric, trend, etc.) and weight—and the AI synthesizes them into a single, cohesive analysis. It's like having a quantitative analyst living inside your indicator.
The ASCII Art Visualization Core: This is the soul of the library. We have pushed the boundaries of what's possible with Pine Script's table and label objects to create a stunning, fully animated, and customizable ASCII art interface. This is not a gimmick; it is a high-information-density display that brings your data to life in a way that is both beautiful and intuitively understandable. Choose from multiple "genders" (Male, Female, Droid) and themes to create an AI assistant that fits your personal aesthetic.
Open & Extensible Framework: This is a library, not a closed black box. It is designed to be the foundation for a new generation of "smart" indicators. I provide a simple, powerful API (Application Programming Interface) that allows any developer to plug their own unique metrics into the DAFE AI brain and instantly gain access to its analytical and visualization power.
Human-Readable Intelligence: The output is not just numbers. The AI communicates in natural language. It provides you with its "Thoughts" ("Bullish momentum across 3 metrics," "Structural weakness developing") and a set of "Recommended Actions" ("ACCUMULATE on pullbacks," "TIGHTEN stops") that adapt in real-time to the changing market conditions.
█ HOW IT WORKS: THE ARCHITECTURE OF AN AI
The library operates on a simple but powerful three-stage pipeline.
Stage 1: Metric Ingestion (The Senses)
As a developer, you first define the "senses" of your AI. Using the library's simple create_metric functions, you tell the AI what to look at. This is a highly flexible system that can handle any type of data your indicator produces. You define the metric's name, its current value, its "mode" of operation, and its relative importance (weight). The available modes allow the AI to correctly interpret any data source:
metric_bounded: For oscillators like RSI or Stochastics that move between set levels (e.g., 0-100).
metric_zero: For indicators like MACD or a Momentum oscillator that fluctuate around a central zero line.
metric_trend: For moving averages or trend lines, analyzing their position relative to price.
metric_volume / metric_volatility: Specialized metrics for analyzing volume and volatility events against high/low thresholds.
Stage 2: The Analysis Engine (The Brain)
On every bar, the library takes the updated metric values and feeds them into its core analytical model. This is where the magic happens.
Normalization: Each metric is processed according to its "mode" and converted into a standardized signal score from -100 (extremely bearish) to +100 (extremely bullish). This allows the AI to compare apples and oranges—an RSI of 80 can now be directly compared to a MACD histogram of 0.5.
Synthesis: The AI calculates a composite score by taking a weighted average of all the individual metric signals. This gives a single, unified view of the market's state based on all available evidence.
State Assessment: It analyzes the distribution of signals (how many are bullish vs. bearish), the number of "extreme" readings (e.g., overbought, high volume), and the overall composite score to determine the current Market State (e.g., "STRONG TREND," "MIXED SIGNALS," "EXTREME CONDITIONS").
Confidence Calculation: The magnitude of the final composite score is translated into a Confidence percentage, representing the strength of the AI's conviction in its current bias.
Natural Language Generation: Based on the final analysis, the engine selects the most appropriate "Thoughts" and "Recommended Actions" from its pre-programmed library of strategic heuristics, providing you with context and a potential game plan.
Stage 3: The Rendering Engine (The Face)
The final analysis is passed to the visualization core, which renders the complete AI Terminal on your chart. This is a masterwork of Pine Script's drawing capabilities.
The Face: The stunning ASCII art face is dynamically generated on every bar. Its Mood (Confident, Focused, Cautious, etc.) is directly determined by the AI's confidence level. Its eyes will even animate with a subtle, customizable Blink cycle, bringing the character to life and creating an unparalleled user experience.
The Dashboard: The surrounding terminal is built, displaying the primary bias, market state, confidence, and the detailed thoughts, active metrics, and recommended actions in a clean, retro-futuristic interface.
Theming: The entire display is colored according to your chosen theme, from the cool greens of "Matrix" to the vibrant pinks of "Neon," allowing for deep personalization.
█ A GUIDE FOR DEVELOPERS: INTEGRATING THE DAFE AI
We have made it incredibly simple to bring your indicators to life with the DAFE AI. This is the true purpose of the library—to empower you.
Import the Library: Add the following line to the top of your script import DskyzInvestments/DafeUltimateLib/1 as dafe
Define Your Metrics: In the barstate.isfirst block of your script, create an array and populate it with the metrics your indicator uses. For example:
var array<dafe.MetricPlugin> my_metrics = array.new<dafe.MetricPlugin>()
if barstate.isfirst
array.push(my_metrics, dafe.metric_bounded("RSI", 50.0, 70.0, 30.0, 1.5))
array.push(my_metrics, dafe.metric_zero("MACD Hist", 0.0, 0.5, 1.0))
Update Your Metrics: On every bar, update the values of your metrics.
dafe.update_metric(array.get(my_metrics, 0), ta.rsi(close, 14))
dafe.update_metric(array.get(my_metrics, 1), macd_histogram_value)
Configure & Render: Create a configuration object from user inputs and call the main render function.
dafe.DafeConfig my_config = dafe.quick_config("Droid", "Cyber")
dafe.render(my_metrics, my_config)
That's it. With these few steps, you have integrated a complete AI dashboard and analysis engine directly into your own script, saving you hundreds of hours of development time and providing your users with a revolutionary interface.
█ DEVELOPMENT PHILOSOPHY
The DAFE Ultimate Library was born from a desire to push the boundaries of Pine Script and to empower the entire TradingView developer community. We believe that the future of technical analysis is not just in creating more complex algorithms, but in building more intelligent and intuitive ways to interact with the data those algorithms provide. This library is our contribution to that future. It is an open-source tool designed to elevate the work of every developer who uses it, fostering a new era of "smart" indicators on the platform.
This library is designed to help you and your users make the best trades by providing a layer of objective, synthesized intelligence that filters out noise, quantifies confidence, and promotes a disciplined, analytical approach to the market.
█ A NOTE TO USERS & DISCLAIMER
THIS IS A LIBRARY: This script does nothing on its own. It is a powerful engine that must be integrated by other indicator developers. It is a tool for builders.
THE AI IS A GUIDE, NOT A GURU: The analysis provided is based on the mathematical synthesis of the metrics it is fed. It is a powerful decision-support tool, but it is not a crystal ball. All trading involves substantial risk.
GARBAGE IN, GARBAGE OUT: The quality of the AI's analysis is directly dependent on the quality and logic of the metrics it is given by the host indicator.
"The goal of a successful trader is to make the best trades. Money is secondary."
— Alexander Elder
Taking you to school. - Dskyz, Trade with DAFE.
Bibliothèque Pine
Dans l'esprit TradingView, l'auteur a publié ce code Pine sous forme de bibliothèque open source afin que d'autres programmeurs Pine de notre communauté puissent le réutiliser. Bravo à l'auteur! Vous pouvez utiliser cette bibliothèque à titre privé ou dans d'autres publications open source, mais la réutilisation de ce code dans des publications est régie par nos Règles.
Empowering everyday traders and DAFE Trading Systems
DAFETradingSystems.com
DAFETradingSystems.com
Clause de non-responsabilité
Les informations et publications ne sont pas destinées à être, et ne constituent pas, des conseils ou recommandations financiers, d'investissement, de trading ou autres fournis ou approuvés par TradingView. Pour en savoir plus, consultez les Conditions d'utilisation.
Bibliothèque Pine
Dans l'esprit TradingView, l'auteur a publié ce code Pine sous forme de bibliothèque open source afin que d'autres programmeurs Pine de notre communauté puissent le réutiliser. Bravo à l'auteur! Vous pouvez utiliser cette bibliothèque à titre privé ou dans d'autres publications open source, mais la réutilisation de ce code dans des publications est régie par nos Règles.
Empowering everyday traders and DAFE Trading Systems
DAFETradingSystems.com
DAFETradingSystems.com
Clause de non-responsabilité
Les informations et publications ne sont pas destinées à être, et ne constituent pas, des conseils ou recommandations financiers, d'investissement, de trading ou autres fournis ou approuvés par TradingView. Pour en savoir plus, consultez les Conditions d'utilisation.