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.
Multi-engine trend detection using SuperTrend and Bollinger variations
Strategic catastrophe stop loss scaled by asset class and daily ATR
Multi-symbol dashboard for centralized trade management and monitoring
ProfitScouter exit manager for automated winner harvesting and trailing
Prop-firm compatible risk controls with soft stop functionality
Read from GsignalX_GocityGroup.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
InpMode
EnGsxMode
GSX_SIMPLE
Mode
InpTrigPP
bool
true
Trigger: PP SuperTrend
InpTrigST
bool
false
Trigger: ATR SuperTrend
InpTrigSBT
bool
true
Trigger: SuperBollingerTrend
InpMinAgree
int
2
Engines that must agree (Advanced)
InpStartMode
EnStartMode
GSX_START_NEXT
Start from
InpEvalClosedBar
bool
true
Evaluate on closed bars only
InpPivotPrd
int
2
Pivot Point Period
InpPPFactor
double
3.0
PP ATR Factor
InpPPAtrLen
int
10
PP ATR Period
InpStLen
int
10
SuperTrend ATR Period
InpStMult
double
3.0
SuperTrend ATR Multiplier
Show all 40 inputs
Name
Type
Default
Description
InpUseMA
bool
true
Use MA trend filter
InpMaLen
int
20
MA Period
InpBBLen
int
12
BB Period
InpBBMult
double
2.0
BB Multiplier
InpAllowLong
bool
true
Allow Longs
InpAllowShort
bool
true
Allow Shorts
InpReverse
bool
true
Reverse on opposite signal
InpUseStop
bool
true
ATR span (SL in legacy mode; sizing only in Scouter mode)
InpStopMult
double
2.0
ATR Stop Multiplier (sizing / legacy SL)
InpStrategicStopEnable
bool
true
Scouter: attach wider catastrophe broker SL
InpStrategicStopMult
double
4.0
Catastrophe SL ATR mult (wider than sizing)
InpStratStopUseDailyAtr
bool
true
Floor SL with daily ATR
InpStratStopDailyAtrLen
int
14
Daily ATR period
InpStratStopDailyFloorMult
double
0.20
D1 ATR × mult × class
InpStratStopClassMultFx
double
1.0
FX class SL scale
InpStratStopClassMultCmd
double
1.35
Commodity class SL scale
InpStratStopClassMultCr
double
1.75
Crypto class SL scale
InpStratStopRangeBars
int
6
H1 avg-range floor bars
InpStratStopRangeMult
double
1.0
H1 range floor mult
InpStratStopHardCapMult
double
12.0
Max SL vs signal ATR × class
InpStratStopJitterEnable
bool
true
Attach-time SL jitter
InpStratStopJitterPct
double
8.0
±% of base distance
InpStratStopMicroPts
int
5
Max micro point offset
InpUseTarget
bool
false
Use ATR Take-Profit
InpTargetMult
double
4.0
ATR Target Multiplier
InpRiskAtrLen
int
14
Risk ATR Period
InpTrailMode
EnTrailMode
GSX_TRAIL_OFF
Trailing stop source
InpTrailBufferPt
int
20
Trailing buffer (points)
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone gocitygroup/GsignalX-Velocity 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.
This repository provides a collection of Expert Advisors for MetaTrader 5 and Python trading scripts developed for an educational YouTube series. It features various technical indicator-based strategies, including MACD, Relative Strength Index, Stochastic, and Bollinger Bands. The included MQL5 files implement multi-ti
MT5CollectionIndicator crossoverMean reversionTrend following
This collection of MetaTrader 5 expert advisors provides a series of educational templates and multi-symbol trading robots. Developed as a companion to coding tutorials, the repository includes frameworks for building strategies using entry triggers and multiple filters. The included programs feature automated risk man
This repository contains a diverse collection of MetaTrader 5 expert advisors ranging from RSI-based scalping robots to multi-timeframe trend following systems. The EAs utilize various technical indicators including EMA crossovers, MACD momentum, and ATR for volatility-based exits. The core logic often incorporates mul
This repository provides a diverse collection of MetaTrader 5 expert advisors focusing on technical indicator automation. The core component aggregates signals from a wide array of standard tools, including trend-following moving averages, oscillators like RSI and MACD, and Bill Williams indicators. It includes specifi
This MetaTrader 5 collection features two primary components: a manual risk management panel and an automated confluence robot. The TyAlgo advisor executes trades using the No Nonsense Forex method, aggregating signals from various technical indicators via global variables. Risk is managed through the TyphooN tool, whi
This repository provides a collection of MetaTrader 5 expert advisors and indicators developed for experimental purposes. It features a range of trading systems, including standard MetaQuotes examples and custom implementations like NERV and RNN-based logic. The primary expert advisors utilize technical indicators such