VonAI ICT scalper deep neural engine

VonAI ICT Scalper — Deep Neural Commodity Execution Engine

Target Institutional Price: $499

LAUNCH TIER ALLOCATION

• First 5 Copies: $249 (LIMITED INTRODUCTORY BATCH: 0/5 CLAIMED)

• Remaining Copies: $499 (Locks in permanently once 5 sales are reached)

• Global Cap: Strictly limited to 220 lifetime licenses worldwide to preserve order execution quality.

OFFICIAL SETUP & CONFIGURATION PRESETS

All input parameters are pre-tuned and distributed via official .set files on our MQL5 Blog guide:

https://www.mql5.com/en/blogs/post/775921

(Download the official vonscalperAI.set directly from the blog to run with optimal broker spread conditions immediately).

Overview: Institutional Machine Learning Execution

Most automated trading robots fail in live conditions because they rely on curve-fitted indicators or dangerous loss-averaging schemes.

VonAI ICT Scalper pairs deterministic Smart Money concepts (Fair Value Gaps, Order Blocks, Liquidity Sweeps, and T3 Trend Momentum) with a pre-trained, embedded Machine Learning Neural Network (ONNX Engine) running natively in MetaTrader 5 memory.

Before any order is placed, the neural inference engine validates the structural setup against live market vectors: directional volatility (ATR), momentum slope (ADX), zone depth, session timing, and mathematical payoff ratios. Low-probability consolidations are filtered out in microseconds. Only high-probability institutional expansions are executed.

Verified Performance: Backtest & Walk-Forward Analysis

The system has undergone multi-year stress testing and live out-of-sample forward verification to ensure genuine statistical robustness without curve fitting.

Multi-Year Real-Tick Stress Test (2021 – 2026)

• Real-Tick Period: January 2021 – August 2026 (88.8M+ Ticks, 100% Quality)

• Execution Realism: Tested under simulated 102 ms execution latency

• Total Net Return: +$353,205.71 (+3,532%) on $10,000 base

• Max Equity Drawdown: 14.17% (Cumulative across 5.5+ years of compounding; prop-firm compliant)

• Profit Factor / Sharpe: 1.59 / 14.22

• Average Trade Payoff: $2,081.36 Win vs. -$1,160.09 Loss (1.79 : 1 R:R)

Forward Walk-Forward Execution (2.5-Month Live Verification)

• Account Base: $10,000.00

• Net Profit Realized: +$728.94 (~3.0% / month pace)

• Execution Realism: Forward log confirms a disciplined 2:1 R:R distribution with losses capped at ~$125 (~1.2% risk base) and wins expanding to +$255–$261.

• Prop-Firm Discipline: Maintained zero consecutive equity violations; no martingale, no grid, and no hidden recovery averaging.

The 2020 Historical Stress Benchmark: Extreme Tail-Risk Survival

Quantitative commodities algorithms must demonstrate structural stability across unprecedented market regimes. Crude oil presents distinct systemic risks, most notably the historical April 20, 2020 event where front-month WTI dropped into negative territory (-$37.63/bbl) accompanied by extreme liquidity gaps and severe spread expansion.

• Structural Invalidation (No Falling-Knife Execution): The engine operates strictly on confirmed order-block imbalances and liquidity sweeps. During hyper-extended unidirectional capitulation, the model withholds market entries until structural stabilization criteria are verified.

• Deterministic Single-Ticket Risk: Every trade enforces an immutable Stop Loss placed simultaneously with the market order. Without grid averaging or recovery sizing, capital exposure remains strictly capped at predetermined parameters (e.g., 1.0% equity risk).

• Regime Adaptation: Preserving capital during macro volatility contractions enables unconstrained compounding as institutional order flow returns to baseline parameters.

The Institutional Takeaway: A reliable algorithmic framework does not rely on curve-fitted, zero-drawdown assumptions. It demonstrates that during historic macroeconomic stress events, portfolio risk remains mechanically bound, preserving capital for sustained systematic execution.

Core System Architecture

• 100% Native ONNX Binary: No external DLLs, no Python dependencies, and no remote server connections required. The entire trained neural model is embedded inside the .ex5 file.

• Hard Stop Loss & Take Profit: Placed simultaneously on broker servers at market execution.

• Prop-Firm Compliance Protection: Hard-coded daily drawdown circuit breakers designed to satisfy strict funding evaluation rules.

• Pre-Configured Presets: Plug-and-play .set files available for download eliminate manual parameter guesswork.

Recommended Specifications

• Primary Symbol: XTIUSD / WTI / US OIL (Crude Oil)

• Recommended Timeframe: M15 (Optimized for M15)

• Account Type: ECN, Raw Spread, or Low-Spread Standard

• Minimum Balance: $100 (Recommended: $500–$1,000+ for prop evaluations)

• Execution: Low-latency VPS recommended (<20ms ping)

Quick Start Guide

1. Open your broker's XTIUSD (or WTI/USOIL) chart on the M15 timeframe.

2. Drag VonScalper.ex5 onto the chart.

3. In the Inputs tab, load your preferred .set file downloaded from our MQL5 blog.

4. Ensure the "Allow Algo Trading" button in MT5 is toggled ON (Green).