Punlie Bull Run employs a grid strategy, opening buy positions at fixed point intervals once specific conditions are met. The robot includes a trend filter based on the daily timeframe and a resistance price barrier to delay entries until a breakout occurs. Risk management is handled through a global profit or loss closer, trailing stops, and a break-even stop loss function. Because the repository lacks a README, functionality is inferred from the code parameters.
Read from Punlie Bull Run.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
InpMagicNumber
long
123456
Magic Number
enable_time_start
bool
false
Enable Start Time
time_start
string
14:00
Start Time (HH:MM)
InpGridLength
int
200
Grid Length (point)
InpTrendUp
bool
false
Trade only in Uptrend
InpTrendTimeframe
ENUM_TIMEFRAMES
PERIOD_D1
Timeframe for trend check
InpResistancePrice
double
0.0
เริ่มส่ง Buy grid เมื่อ Bid >= ราคานี้
InpLotSize
double
0.01
Lot Size
CloseAll
bool
false
Close All Positions by Profit/Loss
CloseAllValue
double
100.0
Close All Value (USD, can be negative)
TrailingStop
bool
false
Enable Trailing Stop
trailingstop
double
20.0
Trailing Stop (pips)
Show all 14 inputs
Name
Type
Default
Description
SLeven
bool
true
Enable Break-Even SL
SLevenpip
double
100.0
Minimum gap from Bid to SL (pips)
How to Install It
1Download the sourceUse "Download source (.zip)" above, or clone punlie/Punlie_BullRun 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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