Precision-engineered for XAUUSD volatility. XAURUM GRID PRO combines dynamic ATR grid spacing, 5th-degree Polynomial Regression filtering, and session-aware execution on the m30 chart. Features multi-tiered risk controls, basket profit/lock logic, and strict spread/volume filters. Built for cTrader. Optimized for discipline, not guesswork.
XAURUM GRID PRO is a next-generation, regime-adaptive grid algorithm specifically calibrated for XAUUSD on the m30 timeframe. Unlike traditional static grid systems that blindly average down, this cBot dynamically adjusts its structure using real-time volatility regimes, trend bias filters, and a 5th-degree Polynomial Regression Channel (PRC) to validate high-probability entry zones.
Designed for traders who demand institutional-grade risk architecture without sacrificing automated efficiency, XAURUM GRID PRO replaces emotional trading with mathematical discipline. It activates only during peak liquidity windows, filters out low-quality chop, and manages exposure through basket-level profit targets, daily loss circuit breakers, and strict volume caps.
The cBot Can be Optimised and Deployed Live on anything Fx and Indices, with high profitability.
Key Features
🌊 ATR Regime-Aware Grid
Dynamically adjusts grid spacing using 13-period ATR with volatility narrowing/widening detection. Grid density expands in trends, contracts in ranges.
📐 5th-Degree PRC Filter
Integrates a Polynomial Regression Channel with dynamic std-dev bands to confirm momentum, filter false breakouts, and time entries with precision.
⏱️ Session-Optimized Engine
Auto-trades between 10:00–24:00 server time to capture peak Gold liquidity, avoiding low-volume slippage and weekend gaps.
🔄 Hybrid Trend/Counter-Trend Logic
Trades with 95-EMA trend bias, but safely deploys mean-reversion entries at deeper grid levels (Level 3+) when price deviates significantly.
🔁 Dynamic Grid Rebuild
Auto-realigns grid anchor points when price drifts beyond threshold, preventing structural misalignment during strong moves.
⚡ Tick-Level Execution
Enables instant order placement at precise pip buffers for optimal fill rates on raw/ECN brokers.
🛡️ Risk & Capital Protection Architecture
- 📉 Multi-Tiered Drawdown Controls:
DailyLossStopPct(25.4%) +BasketCutMoneytrigger automatic position closure before compounding losses. - 📦 Basket Profit Management:
BasketTpMoney&BasketTpPipssecure gains across all open levels without waiting for individual TP hits. - 🔒 Volume & Exposure Caps:
MaxTotalVolumeLots(0.05) +MaxConcurrentPerLevel+MaxTradesPerDay(18) prevent over-leverage during volatility spikes. - 📏 Strict Spread & Slippage Filter: Blocks entries if spread exceeds 0.2 pips, ensuring execution only under optimal broker conditions.
- ⏳ Cooldown & Reentry Guards: 16-minute level cooldown + daily trade limits reduce overtrading and revenge trading risks.
🎯 Ideal For
- cTrader users seeking a structured, rule-based XAUUSD automation
- Traders who want grid efficiency without unchecked martingale-style drawdown
- Capital preservation-focused traders who prioritize risk circuit breakers
- ECN/Raw spread brokers with tight XAUUSD liquidity
📌 Setup & Compatibility
- ✅ Platform: cTrader (C# cBot)
- ✅ Symbol: XAUUSD (Gold)
- ✅ Timeframe: M30 (Recommended)
- ✅ Account Type: ECN / Raw Spread / Low Latency
- ✅ Leverage: 1:500+ (Conservative sizing built-in)
- 🔧 Customizable: All parameters exposed via cTrader UI. Session hours, risk %, grid spacing, and PRC filters fully adjustable.
⚠️ Trading Disclaimer
Algorithmic trading carries inherent risk. Past performance does not guarantee future results. Forward-test on a demo account for minimum 30 days before live deployment. Adjust lot sizes, session windows, and risk parameters according to your broker’s spread conditions, account balance, and personal risk tolerance. The developers are not liable for trading losses. Always use proper capital management.
⚠️ Important Disclaimers
- No Performance Guarantees: Trading financial instruments involves substantial risk. Past performance, including backtested or historical replay results, is not indicative of future results. The developer makes no representations or warranties regarding profitability, consistency, or drawdown behaviour in live markets.
- Market & Broker Dependency: Actual results vary based on broker execution quality, spread conditions, slippage, liquidity, news volatility, and server infrastructure. The algorithm’s filters and hedging logic assume stable, low-latency execution environments.
- Parameter Responsibility: All configurable settings (grid spacing, multipliers, risk per trade, session filters, lot sizing, etc.) are user-adjustable. Improper configuration may increase exposure, breach margin limits, or trigger unintended position clustering. Users must thoroughly test parameter sets in demo environments before live deployment.
- Use at Your Own Risk: By installing or running cbots, you acknowledge that you have read, understood, and accepted all technical requirements, configuration responsibilities, and risk disclosures. The developer assumes no liability for losses, margin calls, platform errors, or execution deviations resulting from live trading.
Important on Optimisation Requirements
This algorithm is designed for both beginner and expert traders, but it is absolutely not suitable for lazy traders. For each financial instrument you wish to trade, whether it is a currency pair, index, commodity like gold or silver, or individual stock, you must perform your own optimisation process to find the optimal settings. Market behaviour differs significantly between instruments, and what works perfectly on one symbol will not work on another without proper tuning. The algorithm provides a state-of-the-art, high-quality framework and unique fitness optimisation tools, but you must be willing to invest the effort to adapt it to your chosen markets. This is a precision tool for serious, active traders who understand that market adaptation is the key to long-term profitability.
Past performance, including the backtest results presented for XAUUSD, does not guarantee future results. The algorithm's performance will vary based on market conditions, broker execution quality, latency, and parameter configuration. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown in backtests.
The algorithm requires instrument-specific optimisation. Parameters that perform well on one symbol or timeframe may produce losses on another. Users are solely responsible for conducting their own testing and validation before deploying the algorithm on a live account.
