Alboogy Dev Projects: Free MT4/MT5 Expert Advisor

Overview

Alboogy Dev Projects includes a trade copier client that synchronizes positions via socket libraries. The systems manage trades through sophisticated risk controls like equity-based trailing stops, cycle-period equity exits, and lot sizing for funded accounts. Entry strategies within the library range from price action supply-demand zones to indicator-based signals like pivots and zigzags. The repository lacks documentation, serving primarily as an extensive archive of MQL development projects and experimental labs.

Socket-based trade synchronization

Equity-based trailing and cycle exits

Funded account risk management parameters

Multi-currency dashboard and monitoring

Archive of over 2400 MQL source files

Input parameters

Read from Pawn_Trader_130824.mq4. Defaults are the author's; change them in the EA's Inputs tab.

Name	Type	Default	Description
`TradesToHandle`	`CONTROL_MODE`	`Specific`	Trades to handle
`ServerPort`	`ushort`	`7000`	Server port
`Minimal_SL_minutes`	`int`	`30`
`Trading_Delay`	`int`	`0`	Trading Delay in Seconds
`Fake_comment`	`fkcm`	`c12`
`Comment_text`	`string`		If Fake comment == manual
`hint0`	`string`	`------------- File Folder Path -------------`
`RootFolder`	`string`	`AUTO`	Root Folder(Add Suffix Number)
`EnableFileScanner`	`bool`	`true`	Enable File Scanner
`hint1`	`string`	`------------- Global Settings -------------`
`Identifier`	`string`	`-a`
`closemaster`	`closeallmaster`	`LOSS_ONLY`	Master Trade Close

Show all 40 inputs

Name	Type	Default	Description
`Latency`	`int`	`30`
`SpreadMultiplier`	`double`	`1`	Spread Multiplier
`MaxRunningOrders`	`int`	`1`	Maximum Running Orders per Direction/overall
`CountRunningTradePerDirection`	`bool`	`true`	Check Maximum Running Orders Per Direction
`EnableNewTradesAfterBreakeven`	`bool`	`true`	Enable new trades only after first trade breakeven?
`SameCandleCheck`	`bool`	`false`
`Start_Time`	`string`	`01:00:00`	Start Time
`End_Time`	`string`	`15:00:00`	End Time
`hint5`	`string`	`------------- Risk Settings -------------`
`RiskFrom`	`risk_type`	`RiskAccBal`	Risk From
`RiskPercent1`	`double`	`0.75`	Risk % from Balance/Equity
`RoundUpCalculatedLotToAccountMinLot`	`bool`	`true`	Take Minimum Lots when Balance is Low
`EnableFundedAccount`	`bool`	`false`	Enable funded account risk calc
`FundedAccountBalance`	`int`	`250`	Funded account balance to use
`hint4z`	`string`	`------------- Equity Exit % closure Cycle Period -----------`
`CPER`	`bool`	`false`	Equity Exit % closure Cycle Period
`cpermethod`	`modeCPER`	`Number_of_Days`	Cycle Period Method
`NOD_days`	`int`	`20`	Cycle Period Timeline (Number of Days);
`NOD_incl_weekend`	`bool`	`false`	Include Weekends in (Number of Days);
`NOH_hours`	`int`	`24`	Cycle Period Hours (Number of Hours);
`RD_day`	`dayCPER`	`Monday`	Cycle Period (Reset Days);
`Cper_Positive`	`double`	`100`	Positive Equity % Exit
`Cper_Negative`	`double`	`-80`	Negative Equity % Exit
`hint4`	`string`	`------------- Equity Exit trailing weekly Levels -----------`
`EnableEquityExittrailingweekly`	`bool`	`false`	Enable Equity Exit traling weekly
`EquityExit`	`double`	`25`	Positive Start Level %
`TrailGap_`	`double`	`1`
`Level1_`	`double`	`1`

How to install it

1Download the sourceUse "Download source (.zip)" above, or clone alboogycOdR/dev-projects from GitHub, and unzip it.

2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts or MQL5/Experts.

3Copy the filesCopy the .mq4 / .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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Alboogy Dev Projects

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