SMC Telegram Signal EA analyzes market structure across multiple timeframes, specifically looking for liquidity grabs, order blocks, and fair value gaps. The robot includes risk management features such as percentage-based lot sizing and multiple take-profit levels. A notable feature is its Telegram integration for signals and a psychology engine that sends periodic messages. It also includes an optional US Dollar Index (DXY) filter to refine entries. The README is minimal, but the code structure suggests a functional trading framework.
Read from SMC_Telegram_EA_v2.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
TelegramBotToken
string
YOUR_BOT_TOKEN
TelegramChatID
string
YOUR_CHAT_ID
EnableTelegram
bool
true
RiskPercentage
double
2.0
MaxOpenTrades
int
1
AnalysisTimeframe
ENUM_TIMEFRAME
PERIOD_H1
ConfirmationTimeframe
ENUM_TIMEFRAME
PERIOD_M5
MinProfitTP1
double
20
MinProfitTP2
double
40
LiquiditySwingBars
int
20
OrderBlockBars
int
10
FVGMinPips
int
5
Show all 16 inputs
Name
Type
Default
Description
UseDXYFilter
bool
false
DXYStrengthThreshold
double
1.5
EnablePsychologyMessages
bool
true
PsychologyMessageFrequency
int
120
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone shanto9333/1st-project 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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