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
Collection ยท MT5
Jivita Expert Advisors
This collection of MetaTrader 5 expert advisors features a flagship tool that applies genetic algorithms to optimize moving average crossover strategies.
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Last update1 year ago18 May 2025
LicenceApache-2.0
Overview
The system dynamically adjusts short and long period parameters, stop loss, and take profit values based on simulated fitness and real trade performance. Risk management options include fixed lot sizes or percentage-based compounding, alongside ATR-based adaptive stops and spread filters. The logic integrates ADX for market regime detection, allowing for distinct parameter evolution during trending or ranging cycles. Additional experts in the repository focus on ATR bands and multi-timeframe trend following.
- Genetic algorithm for parameter self-optimization
- ADX-based market regime detection logic
- ATR-based adaptive stop loss and take profit
- Configurable risk-based or fixed lot sizing
Details
Author
rasingollam on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
Indicator crossover, Trend following, Mean reversion
Markets
Any symbol
Timeframes
Any timeframe
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.
EA files
Input parameters
Read from SimpleSmaEvolution_v2.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Inp_ShortPeriod | int | 10 | Initial Short SMA Period |
Inp_LongPeriod | int | 30 | Initial Long SMA Period |
Inp_LotSize | double | 0.01 | Fixed Lot Size (0 = use risk-based sizing) |
Inp_RiskPercentage | double | 1.0 | Risk percentage per trade (when lot size = 0) |
Inp_MagicNumber | ulong | 123456 | Magic Number |
Inp_StopLossPips | int | 50 | Initial Stop Loss in pips (0=off) |
Inp_TakeProfitPips | int | 100 | Initial Take Profit in pips (0=off) |
Inp_MaxSpreadPoints | double | 5.0 | Max spread in points (0=off) |
Inp_CloseOnOppositeSignal | bool | false | Close positions on opposite signal |
Inp_UseATRStops | bool | false | Use ATR for adaptive stops |
Inp_ATRPeriod | int | 14 | ATR period for adaptive stops |
Inp_ATRMultiplierSL | double | 2.0 | ATR multiplier for stop loss |
Show all 35 inputs
| Name | Type | Default | Description |
|---|---|---|---|
Inp_ATRMultiplierTP | double | 4.0 | ATR multiplier for take profit |
Inp_MinPeriod | int | 5 | Min SMA Period |
Inp_MaxPeriod | int | 200 | Max SMA Period |
Inp_MinDiff | int | 5 | Min difference between periods |
Inp_PopulationSize | int | 20 | Population size |
Inp_Generations | int | 10 | Generations per evolution |
Inp_MutationRate | double | 0.1 | Mutation rate (0.0-1.0) |
Inp_TestBars | int | 500 | Bars for fitness simulation |
Inp_EvolveRiskParams | bool | true | Evolve SL/TP parameters |
Inp_MinStopLoss | int | 20 | Min Stop Loss (pips) |
Inp_MaxStopLoss | int | 100 | Max Stop Loss (pips) // REDUCED FROM 150 |
Inp_MinTakeProfit | int | 20 | Min Take Profit (pips) |
Inp_MaxTakeProfit | int | 200 | Max Take Profit (pips) // REDUCED FROM 300 |
Inp_MinRiskReward | double | 0.5 | Min Risk:Reward ratio |
Inp_MaxRiskReward | double | 5.0 | Max Risk:Reward ratio |
Inp_EvolutionMinutes | int | 60 | Evolution frequency (minutes) |
Inp_MinTradesForEvolution | int | 10 | Min trades before considering real performance |
Inp_RealTradeProfitWeight | double | 0.7 | Weight for real trade performance (0.0-1.0) |
Inp_OnlyEvolveAfterLosses | bool | false | Only evolve after losing trades |
Inp_UseMarketRegime | bool | false | Adapt to market regime (trend/range) |
Inp_ADXPeriod | int | 14 | ADX period for trend strength |
Inp_TrendThreshold | double | 25.0 | ADX threshold for trend detection |
Inp_SeperateEvolution | bool | true | Evolve separate parameters for trend/range |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone rasingollam/Jivita-Expert-Advisors 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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