GoldenGauss V7: Free MT5 Expert Advisor

Overview

GoldenGauss V7 utilizes an ensemble of three neural networks focusing on trend, mean reversion, and breakout strategies to generate entry predictions. The system features multi-timeframe trend alignment, a correlation protection filter, and a news filter to avoid trading during high-impact events. Risk management parameters include percentage-based lot sizing adjusted by ATR volatility, a daily loss limit, daily drawdown reduction features, and trailing take profits based on ATR multipliers.

Triple-NN ensemble neural network prediction

Multi-timeframe trend alignment on H1 and H4

Correlation shield to limit group exposure

Volatility-based lot sizing adjusted by ATR

News filter with configurable time buffers

Details

Author

combjuda on GitHub

Type

Trading robot

Platform

MetaTrader 5 (MQL5)

Strategy

AI / machine learning, Trend following, Mean reversion, Breakout, Martingale

Markets

Forex, Gold, Indices

Timeframes

M15-H1, H4 and above

Risk Profile

Uses martingale lot scaling: losses can grow fast

EA Files

Experts/GoldenGauss_V7_Master.mq5

Source

github.com/combjuda/GoldenGauss_V7

Input Parameters

Read from GoldenGauss_V7_Master.mq5. Defaults are the author's; change them in the EA's Inputs tab.

Name	Type	Default
`InpMaxLotAbsolute`	`double`	`0.10`
`InpRiskPercent`	`double`	`1.0`
`InpMaxDailyLoss`	`double`	`3.0`
`InpMaxDrawdownReduce`	`double`	`0.50`
`InpMagicNumber`	`long`	`20260701`
`InpHiddenNeurons`	`int`	`10`
`InpLearnRate`	`double`	`0.005`
`InpEpochs`	`int`	`200`
`InpMinConfidence`	`double`	`0.60`
`InpMinR2`	`double`	`0.15`
`InpMinWinRate`	`double`	`0.52`
`InpMinTrades`	`int`	`5`

Show all 26 inputs

Name	Type	Default
`InpCooldownBars`	`int`	`3`
`InpPartialCloseAtr`	`double`	`1.8`
`InpUseTrailingTP`	`bool`	`true`
`InpTrailingATMult`	`double`	`1.5`
`InpUseTimeFilter`	`bool`	`true`
`InpStartHour`	`int`	`8`
`InpEndHour`	`int`	`20`
`InpUseMTFFilter`	`bool`	`true`
`InpUseNewsFilter`	`bool`	`true`
`InpNewsBufferMin`	`int`	`30`
`InpUseCorrelation`	`bool`	`true`
`InpMaxCorrelation`	`double`	`0.30`
`InpUseVolSizing`	`bool`	`true`
`InpVolSizingMultMax`	`double`	`2.0`

How to Install It

1Download the sourceUse "Download source (.zip)" above, or clone combjuda/GoldenGauss_V7 from GitHub, and unzip it.

2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.

3Copy the filesCopy the .mq5 file into Experts, and any .mqh files into the Include folder the code expects.

4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.

5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.

Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.

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