Quiet Time Strategy captures a reference price during a specific late-afternoon window and triggers trades when the market deviates by a set number of pips. The robot utilizes a moving average crossover and an ATR filter to validate entries. Risk management features include percentage-based lot sizing, fixed stop losses, take profits, and a spread filter. It also features a termination time to close positions before the next trading day.
Read from Quiet Time Strategy.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
TimesInfo
string
These times should be set (in 24 Hour time) for your local t
TimesInfo2
string
They should correspond to 3:00PM and 7:00PM New York Time
QuietTimeStart
string
15:00
QuietTimeEnd
string
19:00
TimesInfo3
string
This should correspond to 2:00AM New York Time
QuietTimeTerminate
string
02:00
TradeSunday
bool
false
TradeFriday
bool
false
TriggerPipsFromQTEntry
int
15
PercentRisk
double
1.0
StopLossPips
int
12
TargetPips
int
10
Show all 23 inputs
Name
Type
Default
Description
MaximumSpread
int
6
MagicNumber
int
123456
TradeComment
string
StealthMode
bool
false
Testing
bool
false
UseATRFilter
bool
true
ATRPeriod
int
1
ATRAveraging
int
5
ATRRatioToSLLimit
double
0.5
SlowMAPeriod
int
10
FastMAPeriod
int
3
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone daveh551/QuietTimeStrategy 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, 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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