TradeX Guru Intraday Scalping Setup

The TradeX Guru Scalping setup is a multivariate analysis system designed to isolate high-probability market vectors by filtering stochastic market noise. Unlike linear indicators that rely on singular data points, this system employs a "Composite Confluence Algorithm" that synthesizes directional bias, momentum magnitude, harmonic cycles, and volumetric deviation into a unified signal output.

This tool is engineered for traders requiring low-latency decision support, featuring automated variance-based risk modeling (Dynamic Stops & Targets) and real-time market telemetry displayed directly on the chart.

Methodology & Underlying Principles This script operates as a Multivariate Decision Engine, synthesizing four distinct dimensions of market data into a single binary output. Instead of relying on raw, lagging signals, the algorithm employs a composite filtering mechanism to isolate high-probability vectors.

1. Trend Basis Cloud (Dual-Filter Smoothing)

Scientific Concept: Low-Pass Signal Filtering.

Description: The system utilizes a dual-period exponential smoothing algorithm to filter out high-frequency market noise (short-term volatility). By analyzing the divergence between the fast and slow smoothing constants, the engine establishes a Directional Bias, ensuring that all subsequent signals are aligned with the dominant low-frequency trend vector.

2. Momentum Force (Volatility-Normalized Vector)

Scientific Concept: Impulse & Magnitude.

Description: Rather than simple price change, this component calculates the "Impulse" of price action relative to its recent volatility envelope. It measures the magnitude of the breakout vector, effectively distinguishing between low-energy "drift" (chop) and high-energy "expansion" (valid trends).

3. Cycle Phase Analysis (Harmonic State Detection)

Scientific Concept: Phase Transition.

Description: Markets move in oscillatory cycles of contraction and expansion. This module detects the specific harmonic phase of the current price action. It acts as a timing gate, validating entries only during the "Early Expansion" phase and suppressing signals during "Peak Saturation" (overbought/oversold extremes), preventing late entries.

4. Volume Flow Z-Score (Statistical Anomaly Detection)

Scientific Concept: Standard Deviation & Gaussian Distribution.

Description: This filter applies statistical normalization to volume data. By calculating the Z-Score (Standard Score) of incoming volume, the system identifies statistically significant deviations from the mean (Institutional Activity) while filtering out activity that falls within standard distribution (Retail Noise).

Key Technical Features

Real-time Market Telemetry: A custom-built Institutional Terminal displays live market states (Expansion vs. Range), bias vectors, and liquidity Z-scores. Includes a responsive "Mobile Mode" for cross-device compatibility.

Variance-Based Risk Modeling: The engine automatically computes a Safety Threshold (Stop Loss) based on local volatility (ATR) and projects 7 distinct Profit Vectors based on a proprietary risk-to-reward ratio.

Modular Visual Engine: A complete toggle system allows operators to enable/disable specific data layers (Signals, Vectors, Paint Bars) to maintain a clean workspace.

State-Change Detection: The system actively monitors for "Polarity Flips" (failed setups), providing immediate visual feedback to exit or reverse positions.

Why is this Invite-Only? This script relies on a proprietary "Black Box" architecture. The specific lookback periods, smoothing constants, and Z-score thresholds have been optimized and hardcoded to ensure statistical integrity. Access is restricted to protect the intellectual property of the algorithm's internal weighting system.

Disclaimer This tool is strictly for educational and quantitative analysis purposes. Past performance is not indicative of future results. This is not financial advice.