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
Digital 101 AlgoTrading Collection
This collection for MetaTrader 5 provides dozens of expert advisors based on the combination of Japanese candlestick patterns and technical indicators.
GitHub stars3
Forks1
Last update5 months ago16 Apr 2026
LicenceNone stated
Overview
The robots detect patterns such as Engulfing, Harami, and Morning Stars, using Stochastic, RSI, MFI, or CCI for signal confirmation. Trades are managed with fixed stop loss and take profit settings. Each EA includes a unique feature to close positions after a defined number of bars, offering an alternative to standard price-based exits. The repository serves as a library of modular trading strategies for various market conditions.
- Automated candlestick pattern detection
- Technical indicator signal confirmation
- Time-based trade duration limits
- Fixed lot risk management
Details
Author
Digital-101 on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
Multi-strategy, 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
- ea/MorningEvening StarDoji Stoch.mq5
- ea/MorningEvening StarDoji CCI.mq5
- ea/MorningEvening StarDoji RSI.mq5
- ea/MorningEvening StarDoji MFI.mq5
- ea/BullishBearish Harami Stoch.mq5
- ea/BullishBearish Engulfing Stoch.mq5
- ea/DarkCloud PiercingLine Stoch.mq5
- ea/BullishBearish Harami CCI.mq5
- ea/BullishBearish Harami MFI.mq5
- ea/BullishBearish Harami RSI.mq5
About 61 expert advisors in this repository. See them all on GitHub.
Input parameters
Read from MorningEvening StarDoji Stoch.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpAverBodyPeriod | int | 12 | period for calculating average candlestick size |
InpStochK | int | 47 | period %K |
InpStochD | int | 9 | period %D |
InpStochSlow | int | 13 | smoothing period %K |
InpStochApplied | ENUM_STO_PRICE | STO_LOWHIGH | calculation type |
InpStochMA | ENUM_MA_METHOD | MODE_SMA | smoothing type |
InpDuration | uint | 10 | position holding time in bars |
InpSL | uint | 200 | Stop Loss in points |
InpTP | uint | 200 | Take Profit in points |
InpSlippage | uint | 10 | slippage in points |
InpLot | double | 0.1 | lot |
InpMagicNumber | long | 130400 | Magic Number |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone Digital-101/AlgoTrading 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.
- 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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