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Anti OverFitting EA – Boring Pips

Anti OverFitting EA – Boring Pips

Boring Pips EA is designed to avoid overfitting a common issue in many automated strategies. Using a three-stage optimization process, it aims for more stable live performance. Despite marketing claims of “AI” and “deep learning” in Anti OverFitting EA, its core strategy appears to rely on classic methods such as momentum, supply and demand zones, and Fibonacci levels.

In the world of automated trading, it’s common to come across EA that boast near perfect backtest results. Yet, when it comes to live trading, many of them underperform or completely fail. This discrepancy often points to a common issue: overfitting.

The developer of the Boring Pips EA highlights this:
“Have you ever wondered why most expert advisors are not effective in live trading, despite their perfect backtest performance? The most likely answer is Over-fitting.”

According to the developer, many EAs are programmed to fit historical data too closely. This tight alignment can make the strategy look brilliant in the past but renders it ineffective in real-time, unpredictable environments. Some developers might not even recognize this flaw; others may knowingly use overfitting as a way to make their EA look better than it actually is in order to impress buyers.

What Does the Anti OverFitting EA Actually Do?

Anti OverFitting EA combines some classic trading concepts, including:

  • Momentum analysis
  • Supply and Demand zones
  • Fibonacci retracement

According to the Boring Pips EA description, it also uses “cutting-edge artificial intelligence algorithms” and “deep learning” to make decisions based on how prices move across 4 timeframes. For example:

  • It scans for potential zones where prices may reverse.
  • It observes momentum slowing down in these areas to catch potential reversals.
  • It enters trades based on those findings.
  • It manages positions using probability-based systems to attempt to make the most out of favorable entries.

In short, it tries to find coordinated movement slowdowns in currency pairs and makes trades when it thinks a reversal is likely. Based on observation, it seems the system focuses on correlated currencies like AUD, CAD, and NZD, which often move in similar ways and can present unique trading setups.

Key Features Summary

  • Strategies used – Momentum, supply/demand zones, Fibonacci retracement, and AI-based momentum detection
  • Currency pairs – Multi-currency (likely focusing on AUD, CAD, NZD correlations)
  • Risk Controls – Includes take profit (with trailing option), fixed stop loss, optional grid and martingale
  • Manual options – Traders can manually stop entries or close all positions
  • Single Chart Setup – Can trade multiple instruments from one chart

Recommendations

  • Minimum account balance of 100$.
  • It is made to work on AUDCAD, AUDNZD, and NZDCAD.
  • It works on M5. (Work on any TimeFrame)