This MetaTrader 5 expert advisor combines Bollinger Band mean-reversion, squeeze breakouts, and EMA crossover trend following. It filters for ranging markets using a long-period EMA slope to execute reversal trades with candlestick confirmation, specifically identifying Doji patterns at the bands. Risk management inclu
Trading robot · MT5
Trend Matrix EA
Trend Matrix EA is a multi-model trend-following robot for MetaTrader 5, specifically optimized for Gold trading.
GitHub stars1
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Last update4 weeks ago19 Aug 2026
LicenceNone stated
Overview
Trend Matrix EA utilizes a scoring matrix based on several technical indicators including Moving Averages, MACD, ADX, and Bollinger Bands to determine entries. The system employs a conservative pyramiding approach, adding positions to existing trades only after they have reached break-even or a significant floating profit. Risk management features include ATR-based stop losses, maximum spread filters, and a mandatory cooling-down period after a stop loss is triggered to prevent overtrading.
- Multi-model scoring matrix for entry
- Pyramiding system for winning positions
- ATR-based dynamic stop loss and trailing
- High timeframe trend filtering
- Automatic cool-down period after losses
Details
Author
Rhett-Q on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
Trend following, Breakout, Indicator crossover, Mean reversion
Markets
Gold
Timeframes
M15-H1
Risk profile
No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.
EA files
Input parameters
Read from TrendMatrixEA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpAllowedSymbol | string | GOLD_ | ? |
InpBaseLot | double | 0.01 | 试错仓手数 |
InpMaxLot | double | 0.10 | 单笔加仓上限 |
InpMaxTotalLots | double | 0.40 | 同向总手数上限 |
InpMaxPositions | int | 20 | 最大叠加仓位数（对冲账户） |
InpMagic | ulong | 26081910 | 魔术号 GOLD_ |
InpSlippage | uint | 120 | 滑点（点）— 黄金宜偏大 |
InpMaxSpreadPoints | int | 600 | 最大点差（点），0=不限；3位报价约数百点 |
InpMaxAddsPerBar | int | 1 | 单根 K 线最多加仓次数 |
InpFastMA | int | 8 | 快均线 |
InpMidMA | int | 21 | 中均线 |
InpSlowMA | int | 55 | ? |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpMAMethod | ENUM_MA_METHOD | MODE_EMA | |
InpAtrPeriod | int | 14 | ATR 周期 |
InpAdxPeriod | int | 14 | ADX 周期 |
InpAdxTrend | double | 20.0 | 趋势 ADX 阈值（黄金稍放宽） |
InpAdxRange | double | 16.0 | 震荡 ADX 阈值 |
InpHTF | ENUM_TIMEFRAMES | PERIOD_H1 | 高周期过滤 |
InpUseHTFFilter | bool | true | 趋势单启用高周期过滤 |
InpUseBreakout | bool | true | 突破 |
InpUseTripleMA | bool | true | 三均线排列 |
InpUseDualMA | bool | true | 双均线交叉 |
InpUseKD | bool | true | KD ? |
InpUseMACD | bool | true | MACD |
InpUseMaAtrFilter | bool | true | MA+ATR 过滤器（趋势单硬门槛） |
InpMinEntryScore | int | 5 | 矩阵最低得分（回测后提高，压频率） |
InpTrendBasketOnly | bool | true | 一篮子只持趋势仓（不开亚盘/震荡回归种子） |
InpContOpensSeed | bool | false | CONT 当新种子（默认否：只驱动已有篮子加仓） |
InpDonchianPeriod | int | 20 | 突破通道周期 |
InpMaAtrK | double | 0.15 | 价格需偏离均线的 ATR 倍数 |
InpStoK | int | 5 | |
InpStoD | int | 3 | |
InpStoSlow | int | 3 | |
InpStoOS | double | 20.0 | KD ? |
InpStoOB | double | 80.0 | KD ? |
InpMacdFast | int | 12 | |
InpMacdSlow | int | 26 | |
InpMacdSignal | int | 9 | |
InpBBPeriod | int | 20 | |
InpBBDev | double | 2.0 |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone Rhett-Q/TrendMatrixEA 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.
- 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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