Collection · MT5

GsignalX Velocity

by gocitygroup

GsignalX Velocity is a comprehensive trend-following toolkit for MetaTrader 5, designed for prop traders and fund managers.

GitHub stars2
Forks1
Last updateyesterday21 Sep 2026
LicenceCustom licence

Overview

GsignalX Velocity utilizes a multi-engine approach for trade entries, combining PP SuperTrend, ATR SuperTrend, and SuperBollingerTrend signals. The system filters entries using moving averages and Bollinger Bands while requiring configurable engine agreement. Risk management is handled through a Strategic Stop framework that calculates catastrophe stop losses based on volatility and asset class. Trade exits and profit harvesting are managed by the ProfitScouter module, which provides trailing stops and basket closing. The suite includes a multi-symbol dashboard and Telegram notification capabilities.

Details

Author

gocitygroup on GitHub

Type

Collection

Platform

MetaTrader 5 (MQL5)

Strategy

Trend following, Multi-strategy

Markets

Forex, Gold, Crypto, Indices

Timeframes

M15-H1, H4 and above

Risk profile

No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.

Input parameters

Read from GsignalX_GocityGroup.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
InpModeEnGsxModeGSX_SIMPLEMode
InpTrigPPbooltrueTrigger: PP SuperTrend
InpTrigSTboolfalseTrigger: ATR SuperTrend
InpTrigSBTbooltrueTrigger: SuperBollingerTrend
InpMinAgreeint2Engines that must agree (Advanced)
InpStartModeEnStartModeGSX_START_NEXTStart from
InpEvalClosedBarbooltrueEvaluate on closed bars only
InpPivotPrdint2Pivot Point Period
InpPPFactordouble3.0PP ATR Factor
InpPPAtrLenint10PP ATR Period
InpStLenint10SuperTrend ATR Period
InpStMultdouble3.0SuperTrend ATR Multiplier
Show all 40 inputs
NameTypeDefaultDescription
InpUseMAbooltrueUse MA trend filter
InpMaLenint20MA Period
InpBBLenint12BB Period
InpBBMultdouble2.0BB Multiplier
InpAllowLongbooltrueAllow Longs
InpAllowShortbooltrueAllow Shorts
InpReversebooltrueReverse on opposite signal
InpUseStopbooltrueATR span (SL in legacy mode; sizing only in Scouter mode)
InpStopMultdouble2.0ATR Stop Multiplier (sizing / legacy SL)
InpStrategicStopEnablebooltrueScouter: attach wider catastrophe broker SL
InpStrategicStopMultdouble4.0Catastrophe SL ATR mult (wider than sizing)
InpStratStopUseDailyAtrbooltrueFloor SL with daily ATR
InpStratStopDailyAtrLenint14Daily ATR period
InpStratStopDailyFloorMultdouble0.20D1 ATR × mult × class
InpStratStopClassMultFxdouble1.0FX class SL scale
InpStratStopClassMultCmddouble1.35Commodity class SL scale
InpStratStopClassMultCrdouble1.75Crypto class SL scale
InpStratStopRangeBarsint6H1 avg-range floor bars
InpStratStopRangeMultdouble1.0H1 range floor mult
InpStratStopHardCapMultdouble12.0Max SL vs signal ATR × class
InpStratStopJitterEnablebooltrueAttach-time SL jitter
InpStratStopJitterPctdouble8.0±% of base distance
InpStratStopMicroPtsint5Max micro point offset
InpUseTargetboolfalseUse ATR Take-Profit
InpTargetMultdouble4.0ATR Target Multiplier
InpRiskAtrLenint14Risk ATR Period
InpTrailModeEnTrailModeGSX_TRAIL_OFFTrailing stop source
InpTrailBufferPtint20Trailing buffer (points)

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone gocitygroup/GsignalX-Velocity from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
  3. 3Copy the filesCopy the .mq5 file into Experts, and any .mqh files into the Include folder the code expects.
  4. 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
  5. 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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