Gold Trader EA is a multi-strategy expert advisor designed for trading XAUUSD on the MetaTrader 5 platform. It employs a fusion engine that combines up to 14 different technical analysis methods, including candlestick patterns, chart patterns, price action, and institutional levels. The system requires a user-defined n
Trading robot · MT4
ZONES SMC EA
The ZONES EA is a MetaTrader 4 robot that connects to a Python bridge via WebSocket to implement customer-defined SMC and ICT market structure logic.
GitHub stars1
Forks2
Last update5 months ago24 Apr 2026
LicenceApache-2.0
Overview
ZONES SMC EA uses ZigZag for temporary zones and fractals to promote main zones with strength classes S1 S2 S3 while labeling structures like HH LH LL and detecting events including BOS CHOC and RRR. The EA posts candle data and symbol context to the bridge for analysis and can receive auto-execution commands or queue trades through the bridge. Risk controls include percentage-based lot sizing via max risk per trade, total exposure limits, maximum open trades per symbol, slippage tolerance and cooldown periods. It draws zones on charts for multiple timeframes and supports forex gold and indices symbols.
- ZigZag Temp Zones
- Fractal Main Zones
- SMC Structure Labels
- Python Bridge Integration
- Auto Execution Commands
Details
Author
nguemechieu on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
SMC / ICT / price action, Multi-strategy
Markets
Forex, Gold, Indices
Timeframes
Any timeframe
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
Topics
mt4trading-servers
Input Parameters
Read from ZONES.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
BridgeWebSocketUrl | string | ws://127.0.0.1:8090/ws | |
PostAllMarketWatchSymbols | bool | false | |
DrawZonesOnChart | bool | true | |
TimerSeconds | int | 60 | |
MaxSlippage | int | 5 | |
MagicNumber | int | 20260316 | |
BarsH1 | int | 60 | |
BarsM5 | int | 80 | |
BarsM1 | int | 120 | |
MaxMarketWatchSymbols | int | 0 | |
SwingLookback | int | 3 | |
ScanBars | int | 180 |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
ZoneProjectionBars | int | 80 | |
SupportResistanceLookback | int | 80 | |
MaxSupplyZones | int | 3 | |
MaxDemandZones | int | 3 | |
MaxLiquidityZones | int | 2 | |
ZonePaddingPoints | double | 60.0 | |
LiquidityTolerancePoints | double | 45.0 | |
ZigZagDepth | int | 12 | |
ZigZagDeviation | int | 5 | |
ZigZagBackstep | int | 3 | |
TempZoneMinThicknessPoints | double | 45.0 | |
TempZoneMaxThicknessPoints | double | 180.0 | |
MainZoneMinThicknessPoints | double | 60.0 | |
MainZoneMaxThicknessPoints | double | 260.0 | |
ZoneMergeTolerancePoints | double | 35.0 | |
MinimumM5Touches | int | 3 | |
DrawStructureLabels | bool | true | |
EnableBridgePosting | bool | true | |
BridgeRetryCount | int | 2 | |
BridgeRetryDelayMs | int | 150 | |
ExecutionStyle | string | advanced | |
AdvancedConfirmationTimeframe | string | M5 | |
AdvancedRetestLimit | int | 2 | |
RetestEntryMode | string | close | |
EnableAutoExecution | bool | false | |
AutoExecutionLots | double | 0.10 | |
RequireAiAgreementForAutoExecution | bool | false | |
SupplyColor | color | clrTomato |
How to Install It
- 1Download the sourceUse "Download source (.zip)" above, or clone nguemechieu/ZONES from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
- 3Copy the filesCopy the .mq4 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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