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 · MT5
Usatec MT5 Collection
This MetaTrader 5 expert advisor collection uses a multi-indicator approach for trade entries.
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Last update11 months ago1 Oct 2025
LicenceNone stated
Overview
The primary logic involves a combination of MACD, three Triple Exponential Moving Averages (DEMA), the Relative Strength Index (RSI), and Stochastic oscillators. It filters signals using the Average Directional Index (ADX) and Average True Range (ATR) to assess trend strength and volatility. Trades are executed with fixed lot sizes and defined stop loss and take profit levels. The repository lacks a README and consists of several variations of the core logic.
- Multi-indicator strategy combining MACD and DEMA
- RSI and Stochastic overbought and oversold filters
- Volatility and trend strength filtering via ATR and ADX
- Automated trade execution with fixed stop loss and take profit
Details
Author
acortesi on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
Indicator crossover, Mean reversion, Trend following
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 twelveEA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Fast_MA | int | 12 | Período da média rápida |
Slow_MA | int | 26 | Período da média lenta |
Signal_SMA | int | 9 | Período da linha de sinal |
MA_Method_ | ENUM_MA_METHOD | MODE_EMA | Método de suavização |
AppliedPrice | ENUM_APPLIED_PRICE | PRICE_CLOSE | Preço aplicado |
TakeProfit | double | 4000 | |
StopLoss | double | 1500 | |
LotSize | double | 0.2 | |
DEMA1_Period | int | 10 | |
DEMA2_Period | int | 20 | |
DEMA3_Period | int | 100 | |
RSI_Period | int | 10 |
Show all 23 inputs
| Name | Type | Default | Description |
|---|---|---|---|
RSI_Buy_Threshold | int | 30 | Threshold para compra |
RSI_Sell_Threshold | int | 70 | Threshold para venda |
Stoch_Buy_Threshold | int | 20 | Threshold do Stochastic para compra |
Stoch_Sell_Threshold | int | 80 | Threshold do Stochastic para venda |
Stoch_K | int | 10 | |
Stoch_D | int | 3 | |
Stoch_Slowing | int | 3 | |
ATR_Period | int | 5 | |
ADX_Period | int | 16 | |
ATR_Threshold | double | 10 | |
ADX_Threshold | double | 25 |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone acortesi/EA_METATRADE5 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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