GOD Complex Trading By QTX Algo Systems

GOD Complex Trading by QTX Algo Systems

Overview

GOD Complex Trading is a comprehensive signal engine that combines multiple QTX Algo Systems indicators into a unified framework for identifying high-confluence reversal and continuation setups. It includes dynamic entry detection, adaptive stop loss logic, multi-timeframe analysis, score-based risk scaling, and real-time trade visualization.

This script is designed for discretionary traders who want to see structured trade logic unfold directly on the chart, with visual labeling of entry type, dynamic stop loss placement, exit score computation, and key trade metrics shown in an on-chart table.

How It Works

Each trade is classified into one of four categories:

Reversal Long
Reversal Short
Continuation Long
Continuation Short

Each trade type has a distinct confluence requirement involving real-time and higher-timeframe inputs. The indicator calculates a confluence score out of 200 and determines HTF (high-timeframe) directional bias across three layers (HTF1, HTF2, HTF3), which are configurable.

QTX Indicators Used

This script integrates internal logic from the following proprietary QTX tools:

VBM (Volatility-Based Momentum) – Confirms directional bias using momentum slope and volatility increase.
VBSMI (Volatility-Based SMI) – Detects early momentum shifts via band exits and crossovers of adaptive smoothed SMI values.
SEA (Statistically Extreme Areas) – Highlights exhaustion zones using normalized volatility, smoothed range deviation, and SMI divergence.
SPB (Statistical Price Bands) – Uses volatility and trend-adjusted percentiles to define dynamic overbought/oversold zones.
COI (Continuation Opportunity Indicator) – Validates re-entry opportunities following a pullback during trend continuation.

Signal Logic – Examples

Each entry type is built from layered logic:

Reversal Long (Example)
Triggers when:

VBSMI is in dynamic oversold and crosses up
SEA level is at or below threshold (signaling statistical exhaustion)
SPB confirms recent low percentile hit
VBM and COI do not indicate trend continuation in the opposite direction

Continuation Long (Example)
Triggers when:

No recent extreme zones (SPB or SEA) are present
VBM confirms continued trend momentum
VBSMI crosses up and confirms strength
COI may confirm re-entry conditions
High-timeframe bias scores show alignment

All entries are subject to filter checks, including:

Minimum confluence score
HTF bias thresholds (HTF1, HTF2, HTF3)
Position type and trade history

Key Features

Trade Type Auto-Labeling
Each signal is labeled (“Rev Long”, “Cont Short”, etc.) directly on the chart for instant identification.

Stop Loss Visualization
Stop loss levels are calculated using a weighted average of ATR-based padding and prior swing highs/lows. Ghost lines are drawn for Add trades.

TP1 / TP2 Logic

TP1: Fires on opposite VBSMI crossover (momentum loss).
TP2: Fires when the opposite side’s reversal score exceeds a user-defined threshold.

Position Size & Risk Table
The on-chart table shows estimated trade size (based on max risk input), stop loss price, and calculated exit score. Reversal trades scale based on confluence score, while continuation trades use linear scaling.

Multi-Timeframe Confluence
The script uses three automatic higher timeframes to calculate directional bias and exit score amplification. This allows scoring logic to reflect broader trend alignment.

Add Trade Logic
The indicator detects both same-style and cross-style Add setups. Add signals are labeled and visualized, but should be used cautiously.

Auto-Close on Opposite Signal
When an opposite entry signal is triggered (e.g. Cont Short after Rev Long), the current trade is automatically considered closed, resetting tracking variables and metrics.

Additional Features

Fully bar-closed logic: no repainting or mid-bar recalculation.
High-precision control over alert triggering using bias filters and score ranges.
Dedicated alert conditions for all key trade types and TP/SL events.
Score-based position sizing using dynamic confluence score caps.
Table remains visible for a configurable number of bars after trade close.

Use Cases

Manual discretionary entries with clearly labeled setups and real-time validation
Score-based trade review and journaling using TP1/TP2 and exit score
Optimizing trade filters using alerts with HTF bias and confluence thresholds
Data-driven strategy refinement by observing which trades reach full exits

Disclaimer

This tool is provided for educational and informational purposes only. It does not guarantee any particular outcome or profitability. Always use proper risk management, backtest thoroughly, and consult a financial professional if needed.