KSQ Hon Geometry AI Neural Imbalance
- Эксперты
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Christopher Adie
Quantitative Trading Expert | Algorithm Development Specialist
Professional Overview - Версия: 1.30
- Обновлено: 17 сентября 2026
- Активации: 5
KSQ Hon Geometry AI — Neural Imbalance Predictor (H1)
Institutional Wealth Architecture for Gold (XAUUSD). Embedded ONNX Machine Learning. Zero Martingale. Zero Grid.
Read more about it here. If you encounter any issues or something isn’t working as expected, please leave a comment with the details, and I’ll look into it. https://www.mql5.com/en/blogs/post/775689
INTRODUCTORY LAUNCH SPECIAL ($39):
First 5 copies: $39 (Early Bird Access)
- Next 10 copies: $99
- Next 20 copies: $199
- Final Regular Price: $349
The Philosophy of "Hon" (True Capital Preservation)
In ancient tradition, Hon (הון) represents true capital, substance, and enduring wealth.
KSQ Hon Geometry AI is designed from the ground up for strict capital preservation:
- Every order transmits a hard Stop Loss directly to the broker upon execution.
- Winning trades target an institutional 3.0 ATR Take Profit, while risk is strictly capped at 1.5 ATR (asymmetric 2:1 to 3:1 Reward-to-Risk)
- Position stacking only occurs when prior entries are already secured at Break-Even (Zero Downside Risk).
What is "Market Geometry"?
Price delivery in modern financial markets is executed by algorithmic market makers rebalancing liquidity voids (Fair Value Gaps).
When institutional momentum aggressively displaces price, it leaves structural imbalances behind. KSQ Hon Geometry AI identifies and maps these institutional footprints in real time across the H1 timeframe.
The Neural Imbalance Engine (Why 90% of FVG Traders Lose)
Traditional retail FVG traders fail because they take every gap mechanically—getting chopped to pieces in consolidating or ranging markets.
KSQ Hon Geometry AI solves this with an embedded ONNX Neural Model (Gradient-Boosted Decision Trees). Before any order is executed, the AI evaluates an 8-factor vector on candle close:
- Macro Geometry: Multi-timeframe EMA trend alignment.
- Intraday Vector: EMA deviation metrics.
- Volatility Expansion: Dynamic 14-period ATR volatility boundaries.
- Liquidity Ratio: Imbalance void size normalized to live market volatility.
- Momentum Saturation: RSI momentum exhaustion and divergence.
- Temporal Session Windows: Institutional liquidity hour and day-of-week filters.
- Probabilistic Scoring: If the AI win probability is under 58%, the trade is discarded.
Prop-Firm Tested (FTMO, The 5ers, FundedNext)
- Tested on 431 Million Real Ticks: Evaluated over 5.5 years with 99% History Quality using broker tick data.
- Out-Of-Sample Certified: Verified using strict chronological walk-forward validation (zero lookahead bias or data leakage).
- Ultra-Low Drawdown: Closed balance drawdown across 5.5 years remained under 5.03% on conservative settings, easily passing strict 5% daily and 10% max drawdown rules.
- 100% Self-Contained: The ONNX AI brain is compiled directly inside the EA binary. No external DLLs, Python scripts, or cloud dependencies.
Verified Backtest Performance Highlights (5.5 Years, 431M Real Ticks)
- Prop-Firm Sniper Mode: +$12,925 to +$17,243 Net Profit | Profit Factor: 3.78 – 9.81 | Max DD: 2.89% – 4.31% | Win Rate: 60% – 80%
- Balanced Compounding (2.0% Risk):+$22,702.91 (+227% Net ROI) | Balance DD: 7.32% | Profit Factor: 3.02
- Capital Accelerator (2.5% Risk):+$33,945.78 (+340% Net ROI) | Balance DD: 9.15% | Expected Payoff: $329.57 per trade
- Worst Loss Streak in 5.5 Years:Only 3 consecutive losses
Quick Setup Guide
1. Attach the EA to an XAUUSD (GOLD) chart.
2. Set the Timeframe to H1.
3. Enable Algo Trading** in your MT5 toolbar.
4. Done! The EA comes pre-configured with default institutional parameters.
Included Presets
- XAUUSD_H1_PropFirm_Sniper.set (Default) Ultra-safe, under 5% DD, maximum consistency.
- XAUUSD_H1_Balanced_Compounding.set: Dynamic 2.0% risk compounding, +227% ROI.
- XAUUSD_H1_Capital_Accelerator.set: Dynamic 2.5% risk, +340% ROI, $329/trade expected payoff.
