OPEN-SOURCE SCRIPT

Trend Neural Grid-Aynet

Core Concept
Imagine a trading indicator that:

Learns from the market by dynamically analyzing multiple timeframes and inputs.
Visualizes the market as a neural grid that predicts probable price paths.
Adapts dynamically based on volatility, trend strength, and sentiment.
This isn’t just a tool—it’s an intelligent system that gives traders a real-time edge.

Features
Neural Grid:

Price zones are visualized as interconnected nodes forming a grid.
Each node represents a price level, with size and color indicating probability and strength.
Dynamic Prediction Paths:

Uses momentum, volatility, and volume to predict future price paths visually.
Multi-Timeframe Sentiment:

Combines sentiment data across 3 timeframes to gauge market psychology.
Adaptive Volatility Zones:

Expands and contracts based on current market volatility.
Real-Time Alerts:

Alerts fire when the system detects high-probability breakouts or reversals.

Key Features in Detail
Neural Grid Nodes:

Visualized as circles along key price levels.
Node size and transparency represent proximity and strength.
Prediction Path:

Plots a series of future price levels using momentum as the driver.
Appears as a smooth wave, allowing you to see the possible trajectory of the market.
Multi-Timeframe Sentiment:

Combines short, mid, and long-term RSI to create a unified sentiment score.
Dynamic Background:

Green, red, or yellow background based on sentiment thresholds:
Green: Bullish sentiment.
Red: Bearish sentiment.
Yellow: Neutral.
Breakout Alerts:

Alerts trigger when the probability of a breakout (based on grid node activity) exceeds the threshold.
Why Is This Groundbreaking?
Multi-Dimensional Visualization:

Combines dynamic grids, predictive paths, and sentiment layers into a cohesive framework.
Predictive and Adaptive:

Tracks not only where price has been but also where it’s likely to go.
Integrated AI-Like Sentiment:

Uses a neural-inspired grid and multi-timeframe sentiment for a holistic market view.
Scalable Complexity:

Can be extended with additional layers, such as fractals, machine learning probabilities, or trader-specific configurations.
This is unlike any traditional indicator. Let me know if you'd like even more enhancements, such as fractal grids, volatility clustering, or machine learning integration!
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Skrip sumber terbuka

Dalam semangat sebenar TradingView, penulis telah menerbitkan kod Pine ini sebagai sumber terbuka supaya pedagang dapat memahami dan mengesahkannya. Sorakan kepada penulis! Anda boleh menggunakan perpustakaan ini secara percuma, tetapi penggunaan semula kod dalam penerbitan ini adalah dikawal oleh Peraturan dalaman. Anda boleh menyukainya untuk menggunakannya pada carta.

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