This expert advisor acts as a communication bridge between MetaTrader 4/5 and external applications via the ZeroMQ protocol, specifically aimed at executing trades from a Telegram group.
Telegram Trader Bot runs a local server within the terminal to receive trading instructions and optionally publish market data. The Python-based backend handles the logic for interacting with Telegram, while the MQL component manages order placement. Risk controls include configurable maximum lot sizes, order limits, and slippage buffers. Note that the README describes the repository as a partial code release, requiring external dependencies and additional setup to become fully functional.
Read from DWX_ZeroMQ_Server_v2.0.1_RC8.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
PROJECT_NAME
string
DWX_ZeroMQ_MT4_Server
ZEROMQ_PROTOCOL
string
tcp
HOSTNAME
string
*
PUSH_PORT
int
32768
PULL_PORT
int
32769
PUB_PORT
int
32770
MILLISECOND_TIMER
int
1
t0
string
--- Trading Parameters ---
MagicNumber
int
123456
MaximumOrders
int
1
MaximumLotSize
double
0.01
MaximumSlippage
int
3
Show all 15 inputs
Name
Type
Default
Description
DMA_MODE
bool
true
t1
string
--- ZeroMQ Configuration ---
Publish_MarketData
bool
false
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone nathanzilgo/Telegram-Trader-Bot from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts or MQL5/Experts.
3Copy the filesCopy the .mq4 / .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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