News Catcher EA functions by placing pending buy and sell orders at a specific distance from the current price at a pre-defined start time. The EA manages trades using a configurable trailing stop, which can be optimized with a millisecond timer and a minimum step. Risk controls include a fixed lot size and a hard stop loss. The repository provides no README documentation, but the code implements logic for shifting pending orders and monitoring spreads.
Read from News Catcher EA.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
o1
string
---------- Trailing --------------
Dist
int
200
Distance of pending order from the price
TrailingStop
int
40
Trailing distance (0 - without trailing)
TSz
int
10
Trailing step
tttimer
int
100
Trailing by timer (ms), 0 - trailing without timer
o2
string
---------- Pending orders ----------
Stoploss
int
50
Stoploss, 0 - without stoploss
TimeModify
int
1
Interval of shifting pending orders, s
Kor
int
50
"Calm corridor", 0 - without
o3
string
---------- Time ----------
timeStart
datetime
D'15:29:50'
Start (place pendings)
timeFinish
datetime
0
Finish (delete pendings) (not necessary, 2 min)
Show all 16 inputs
Name
Type
Default
Description
o4
string
---------- Other ---------------------
tester
bool
false
Pendings now and permanent
Lot
double
0.01
Lot
show_spread
bool
true
Show spread
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone oleg518/forex-mql-ea 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.
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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