This repository provides a containerized MetaTrader 5 environment running on Alpine Linux via Wine, including a VNC server for remote graphical access.
MT5 Docker Bridge features a bridge expert advisor that enables communication between MetaTrader 5 and external programming languages like Python through file-based data exchange. The system exports market prices, bar data, and account status to text files while monitoring for incoming command files to execute trades. It includes basic risk parameters such as maximum order limits, slippage points, and lot size constraints.
Read from FileConnection.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
t0
string
--- General Parameters ---
MILLISECOND_TIMER
int
25
numLastMessages
int
50
t1
string
If true, it will open charts for bar data symbols,
t2
string
which reduces the delay on a new bar.
openChartsForBarData
bool
true
openChartsForHistoricData
bool
true
t3
string
--- Trading Parameters ---
MaximumOrders
int
1
MaximumLotSize
double
0.01
SlippagePoints
int
3
lotSizeDigits
int
2
Show all 13 inputs
Name
Type
Default
Description
asyncMode
bool
false
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone kevin-bruton/mt_docker 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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