In an era where markets move at lightning speed, human traders often struggle to filter out noise and capture genuine trading opportunities. Ferret AI EA V1.0 for MetaTrader 4 bridges this gap by leveraging an advanced, three-tier artificial-intelligence architecture. Designed for both beginners and seasoned traders, Ferret AI combines deep-volatility analysis, unemotional signal synthesis, and high-speed execution to deliver a turnkey trading solution that emphasizes capital preservation and consistency.

Overview of Ferret AI EA

Ferret AI EA V1.0 MT4 is a fully automated Expert Advisor built in MQL4. Its core promise is to minimize false signals—common in grid and martingale systems—while preserving account equity through adaptive position sizing. Key pillars of its design include:

  • Noise Filtering: A volatility-based filter removes erratic price spikes.
  • Signal Generation: A pattern-recognition module uses historical data to identify high-probability setups.
  • Execution Engine: A high-speed order manager routes trades with minimal slippage.

By avoiding hedging or doubling-down techniques, Ferret AI aims to deliver a smooth equity curve rather than wild fluctuations.

How It Works

  1. Data Collection: On each tick, the EA gathers OHLC data from six major currency pairs.
  2. Volatility Analysis: It computes a rolling volatility index to distinguish genuine moves from random spikes.
  3. Pattern Recognition: When volatility conditions are met, the AI compares current price structure against its trained database of profitable patterns.
  4. Order Placement: Trades are executed with user-defined lot sizes or dynamic sizing based on recent performance metrics.
  5. Risk Management: A built-in stop loss and take profit guard each position; the EA will also close all trades during extreme news events if enabled.

 

Recommended Settings

  • Symbols: EURUSD, GBPUSD, AUDUSD, NZDUSD, USDCAD, USDCHF
  • Timeframe: M15 for all charts
  • Minimum Deposit: $100 (ECN or Raw Spread account recommended)
  • Lot Sizing: Fixed lots of 0.01 for micro-accounts; dynamic sizing for larger accounts (see user manual)
  • Max Spread: 2.0 pips on major pairs
  • News Filter: Enabled by default to avoid high-impact events

Tip: Attach the EA to six separate M15 charts—one for each symbol—using the default input parameters.

Installation Guide

  1. Download the FerretAI_EA.ex4 file to your computer.
  2. Copy the file into the MQL4/Experts folder of your MT4 installation directory.
  3. Restart MetaTrader 4 or refresh the Navigator panel.
  4. Attach Ferret AI EA to each M15 chart and enable “AutoTrading.”
  5. Adjust inputs if desired, then click OK. The EA will begin analyzing ticks immediately.

Performance Validation

Although Ferret AI EA does not publicly publish exhaustive backtest reports, early adopters report:

  • Stable Equity Growth: Moderate, steady gains over a 12-month demo period.
  • Controlled Drawdown: Peak drawdowns limited to 8–10%.
  • Win Rate: Approximately 60–65% across all pairs.

Pro-Tip: Conduct your own “Every Tick” backtest over at least two years of data before deploying on a live account. This ensures the EA’s behaviour aligns with your risk tolerance and account size.

Key Advantages

  • Capital Preservation Focus: No grid or martingale means lower risk.
  • AI-Based Filtering: Deep-learning-inspired modules reduce false entries.
  • Turnkey Setup: Easy installation and default settings for immediate use.
  • Multi-Pair Capability: Diversifies exposure across six major pairs.
  • Author Support: Regular updates and dedicated user forum on MQL5.

Potential Limitations

  • Single Timeframe: Optimized for M15 only; other timeframes are not supported.
  • Lack of Public Backtests: Users must perform their own thorough validation.
  • Premium Pricing: At $199, it sits above many entry-level EAs.
  • Demo-Only Track Record: No live-account statistics are publicly available as of version 1.0.

Conclusion

Ferret AI EA V1.0 MT4 offers a cutting-edge solution for traders seeking to leverage artificial intelligence without the complexity of manual strategy development. By combining noise filtration, pattern recognition, and rapid execution, it stands out among automated systems that rely on riskier money-management schemes. Prospective users should backtest extensively and start with a small allocation on a demo or micro account to confirm performance under live conditions.

Support & Contact

For questions, feature requests, or troubleshooting: