The included Time Ranger EA identifies high and low price levels during a specific intraday window and executes trades upon a breakout. It incorporates risk management through stop loss and take profit levels calculated as a percentage of the range's height. Users can define specific trading days and an automatic closure time for all positions. The repository serves as a template for intraday breakout and stochastic-based strategies, though the provided README is minimal.
Read from Time_Ranger_EA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
InpMagicNumder
long
12345
magic number
InpLots
double
0.01
lot size
InpStopLoss
int
150
stop loss in % the range ((0 = off) без стоп лосса)
InpTakeProfit
int
200
take profit in % the range (( 0 = off) без тейк профита)
InpRangeStart
int
600
range start time in minutes
InpRangeDuration
int
120
range duration in minutes
InpRangeClose
int
1200
range close time in minutes ((-1 = off) закрытия позиции не будет)
InpBreakoutMode
BREAKOUT_MODE_ENUM
ONE_SIGNAL
breakout mode
InpMondey
bool
true
range on mondey
InpTuesday
bool
true
range on tuesday
InpWednesday
bool
true
range on mondey
InpThursday
bool
true
range on thyrsday
Show all 13 inputs
Name
Type
Default
Description
InpFriday
bool
true
range on friday
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone sergey-vs/Templates-mq5 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, 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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