🔎 What is AlphaCore X EA?
AlphaCore X EA is a trading tool, an automated Expert Advisor designed for MT5, created to trade XAU/USD (Gold), usually on the H1 timeframe. It also uses M1 and M15 data for more checks and to lessen noise.
It was made by Arseny Potyekhin, who says it uses GPT‑4.5, ChatGPT‑o1, neural networks (CNNs, LSTM), and reinforcement learning. It also uses big data analytics.
📦 Version Status: V1.5?
Searches showed information for Version 1.1. It had better signal filters, improved trailing stop, lot-sizing changes, and bug fixes.
There were no public mentions of Version 1.5.
Therefore, no documents or release notes exist for V1.5.
đź› Key Features (from V1.1)
Multiple Strategies:
Combines following trends, detecting volatility, hedging, and correlation filters over several timeframes to make trades more robust.
Risk Management:
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Dynamic stop-loss and take-profit based on ATR
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Trailing stop and break-even locking
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Doesn’t use grid or martingale methods
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Max drawdown is claimed to be under 5%
Hedging:
Includes a CorrelationCore Hedge EA to hedge XAU/USD vs XAG/USD to help reduce drawdowns.
Broker Requirements:
Works with any MT5 broker. ECN or zero-spread accounts are suggested.
Minimum deposit is ~$300 with at least 1:20 leverage.
Performance:
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Backtests over five years (2012–2022) on EUR/USD, GBP/USD, USD/JPY
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Profit factor ~2.10, Sharpe ~1.75, max drawdown ~5% or less
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Group-buy sellers claim a +114% gain in 2 weeks of live trading with no drawdown on a $1,000 initial deposit—these results should be viewed with caution unless verified.
⚠️ Cautions & Things to Note
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False Claims: Some group-buy sellers advertise results (e.g. 100% win rates, big gains) without proof.
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No Independent Reviews: There isn’t much third-party performance tracking, or community reviews.
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No V1.5: All available sources only go up to Version 1.1.
âś… Summary Table
| Attribute | Details (V1.1) |
|---|---|
| Platform | MetaTrader 5 (MT5) |
| Primary Asset | XAU/USD (Gold, H1 timeframe) |
| AI Tech | GPT‑4.5, ChatGPT‑o1, CNN, LSTM, Reinforcement Learning, Big Data |
| Strategy | Multi‑timeframe trend & breakout signals, hedging, no martingale/grid |
| Risk Management | ATR‑based SL/TP, trailing stop, dynamic lot sizing |
| Backtest Performance | Profit factor ~2.1, Sharpe ~1.7, max drawdown ≤ 5% |
| Live Claim | +114% growth in 2 weeks, 0% drawdown (unproven) |
| V1.5 Documentation | Not available publicly |
🔍 If You’re Looking for V1.5
Since version 1.5 has no public information:
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Ask the vendor about V1.5
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Ask for any performance logs or signal access before using money
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Always test in a demo first, to check risks and settings before using real funds
