Systematic Algorithmic Execution

Quantitative XAUUSD Trading Strategies

Every trade recommendation produced by Velarion is derived from mathematical rules rather than emotional discretion. Discover the 4 quantitative models and our multi-agent consensus architecture.

MODEL 01 • LIQUIDITY POOLSACTIVE
TARGET: 80 - 150 PIPS

Smart Money Concepts (SMC) Liquidity Sweep

Institutional market makers deliberately push price beyond obvious retail stops placed above previous Asian session highs and lows. This model detects fake-out sweeps, waiting for exhaustion wicks and rapid 5-minute candle closes back inside the range.

Entry TriggerAsian Range High/Low Sweep + Pinbar Rejection
Stop Loss5 pips above/below sweep wick extreme
Take ProfitOpposite Asian range equilibrium (R:R 2.5+)
Optimal WindowLondon Open (07:00 – 09:30 UTC)
MODEL 02 • MOMENTUMACTIVE
TARGET: 150 - 250 PIPS

Dynamic Trend Pullback Architecture

Designed to ride extended macroeconomic trends. The model confirms directional alignment using the 50-period and 200-period Exponential Moving Averages on 1-hour and 4-hour timeframes, entering on controlled pullbacks into the dynamic value zone.

Entry TriggerPullback to 50 EMA with RSI reset > 40 / < 60
Stop LossTrailing 1.5x ATR below swing structural low
Take ProfitDynamic Volatility Ratchet (200-pip target)
Optimal WindowLondon / NY Overlap (12:30 – 16:30 UTC)
MODEL 03 • VOLATILITY EXPANSIONACTIVE
TARGET: 100 - 180 PIPS

Session Range Breakout Engine

Measures compression in the 30 minutes leading up to the London (07:00 UTC) and New York (12:30 UTC) opens. Executes breakout stop orders once ATR expands beyond the 90th percentile of morning volatility.

Entry TriggerPre-session 15-min range high/low expansion
Stop LossMidpoint of pre-session breakout range
Take Profit2.0x pre-session range projection
Optimal Window06:55 – 07:15 UTC & 12:25 – 12:45 UTC
MODEL 04 • STATISTICALACTIVE
TARGET: 40 - 70 PIPS

Statistical Mean Reversion

Monitors quiet, range-bound market regimes during the late New York and early Asian sessions. Triggers counter-trend entries when price reaches 2.5 standard deviations from the volume-weighted average price (VWAP).

Entry Trigger±2.5 Bollinger Band touch + RSI 14 extreme
Stop LossTight 20-pip structural buffer
Take Profit20-period central VWAP baseline
Optimal WindowAsian Session (21:00 – 04:00 UTC)

Multi-Agent Consensus Engine & Dynamic Risk Governor

No individual model has unilateral authority to execute trades. The AI Consensus Engine requires multi-agent cross-verification. If the Trend Pullback model produces a BUY signal while the Liquidity Sweep model detects an overhead liquidity trap, the trade is rejected to prevent whipsaws.

Balance-Tiered Risk Allocation

Position sizing automatically scales based on account equity:

Micro Tier ($10 - $50)Preserves capital with minimum 0.01 lot size, 1.2–1.5 R:R, and strict 2% max risk per trade.
Growth Tier ($100 - $500)Balanced compounding targeting 2.0 R:R with trailing stop ratchets on 100-pip trends.
Institutional Tier ($1,000+)Extended 3.0+ R:R scaling across multi-day 200-pip momentum expansions.

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