Vorax Ultra Fast Scalper enters trades using a signal engine that combines momentum analysis with buyer/seller pressure calculations. Risk management is highly structured, featuring dynamic lot sizing, maximum daily loss limits, spread filters, and a four-stage trailing stop system. Users can also configure optional position reinforcements and a news filter. It operates during active trading sessions with strict protective stops for both assets.
Read from VORAX_COMPLETE.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
TradeGold
bool
true
TradeBitcoin
bool
true
DebugMode
bool
false
ShowDashboard
bool
true
Gold_RiskPercentPerTrade
double
0.50
Gold_MaxDailyLoss
double
2.00
Gold_MaxSpread
double
1.5
Gold_MinimumPressure
double
65.0
Gold_MinimumMomentumStrength
double
50.0
Gold_MinSLPoints
double
0.50
Gold_MaxSLPoints
double
2.50
Bitcoin_RiskPercentPerTrade
double
0.50
Show all 20 inputs
Name
Type
Default
Description
Bitcoin_MaxDailyLoss
double
2.00
Bitcoin_MaxSpread
double
75.0
Bitcoin_MinimumPressure
double
62.0
Bitcoin_MinimumMomentumStrength
double
48.0
Bitcoin_MinSLPoints
double
50.0
Bitcoin_MaxSLPoints
double
300.0
AllowReinforcement
bool
true
MaxOpenPositions
int
2
How to Install It
1Download the sourceUse "Download source (.zip)" above, or clone wesamtaraf1984-ux/VORAX-Ultra-Fast-Scalping-EA 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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