Price Less EA combines moving average crossovers for entry timing with a multi-level position layering system. The robot initiates trades and scales lot sizes using step-based increments at fixed distances. It manages open trade baskets by attempting to close all positions once a predefined profit target is achieved. Risk controls include a maximum trade count and a termination level, as the EA lacks individual stop loss inputs.
Read from PriceLess0540-Git.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
step
double
30.0
starthour
int
0
startday
int
1
id
int
11
legavanta
int
2
terminatelevel
int
10
hordivider
string
------------------------------------------------
extlots
double
0.02
maxlotsperlevel
double
0.04
maxtradesperlevel
int
2
steplots
double
0.01
addlots
double
0.03
Show all 27 inputs
Name
Type
Default
Description
hordivider3
string
------------------------------------------------
usemas
bool
true
tradewithmas
bool
true
smallma
int
9
bigma
int
20
matf
int
60
hordivider4
string
------------------------------------------------
minprofit
double
0.001
flexibility
int
3
maxtrades
int
30
closeiffirstinprofit
bool
true
continueafterclosefromwininarow
bool
false
debug
bool
true
slip
int
5
closeall
bool
false
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone exalkas/MQL 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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