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EA Scalper XAUUSD is an automated trading research project for MetaTrader 5 focused on gold. It employs a multifaceted entry strategy using Smart Money Concepts like order blocks and liquidity sweeps, alongside moving average crossovers and Fibonacci zones. The EA includes a self-learning module designed to adapt to di
Trading robot · MT5
GoldPulse BurstTrend
GoldPulse BurstTrend is an automated trading robot for MetaTrader 5 designed to capture momentum within established trends.
GitHub stars1
Forks1
Last update6 months ago28 Apr 2026
LicenceNone stated
Overview
GoldPulse BurstTrend employs a multi-timeframe logic, analyzing the H1 and M5 periods for overall bias while using the M1 timeframe for trade execution. The system filters entries using EMA crossovers, ADX strength levels, and tick-based impulse triggers. Risk management features include ATR-based or fixed point stop losses and take profits. The repository includes multiple development versions, though documentation in the README is absent.
- Multi-timeframe trend analysis across M1, M5, and H1
- Tick-level impulse and momentum detection
- EMA crossover and slope filters
- ADX and ATR-based volatility filtering
- Configurable ATR or fixed point stop loss modes
Details
Author
wayneheyliger-cpu on GitHub
Type
Trading robot
Platform
Strategy
Trend following, Indicator crossover, Scalping
Markets
Gold, Forex
Timeframes
M1-M5, 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.
Input Parameters
Read from UPGRADE 3_10.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpEAName | string | GoldPulse_BurstTrend_v3_10_TradeFlow | |
InpMagicNumber | long | 26042530 | |
InpShowDashboard | bool | true | |
InpDebug | bool | false | |
InpSignalMode | ENUM_GBT_SIGNAL_MODE | GBT_BOTH_DIRECTIONS | |
InpAllowHedgeBuySell | bool | false | default false: one direction at a time |
InpEntryTF | ENUM_TIMEFRAMES | PERIOD_M1 | |
InpTrendTF | ENUM_TIMEFRAMES | PERIOD_M5 | |
InpBiasTF | ENUM_TIMEFRAMES | PERIOD_H1 | |
InpATRTF | ENUM_TIMEFRAMES | PERIOD_M1 | |
InpUseTrendFilter | bool | true | |
InpTrendFastEMA | int | 20 |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpTrendSlowEMA | int | 50 | |
InpTrendAnchorEMA | int | 200 | |
InpUseTrendAnchor | bool | true | |
InpUseTrendSlopeFilter | bool | true | |
InpTrendSlopeLookback | int | 3 | |
InpUseBiasFilter | bool | false | v3.10: H1 bias was too restrictive |
InpBiasEMA | int | 200 | |
InpUseADXFilter | bool | true | |
InpADXPeriod | int | 14 | |
InpADXMin | double | 14.0 | |
InpUseDIFilter | bool | false | |
InpUseM1CandleConfirm | bool | true | |
InpEntryFastEMA | int | 20 | |
InpEntrySlowEMA | int | 50 | |
InpMinBodyATR | double | 0.03 | |
InpRequireCloseBeyondPrev | bool | false | |
InpMaxCloseDistanceATR | double | 1.80 | |
InpProbeStyle | ENUM_GBT_PROBE_STYLE | GBT_PROBE_TREND_ONLY | |
InpTickLookback | int | 6 | |
InpTickImpulsePoints | double | 20.0 | |
InpMinDirectionalTicks | int | 3 | |
InpMaxImpulseSeconds | double | 3.0 | |
InpMaxSpreadPoints | int | 80 | |
InpUseSpreadATRFilter | bool | true | |
InpMaxSpreadATRRatio | double | 0.25 | spread must be <= ATR points x this |
InpATRPeriod | int | 14 | |
InpUseATRRangeFilter | bool | true | |
InpMinATRPoints | double | 80.0 |
How to Install It
- 1Download the sourceUse "Download source (.zip)" above, or clone wayneheyliger-cpu/MT59.50A 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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