This MetaTrader 4 expert advisor functions as an automated trading robot using the Average Directional Index (ADX) to identify trend strength and direction. It executes trades based on ADX crossovers and specific level thresholds. The EA provides essential risk management tools, including stop loss, take profit, and a
Trading robot · MT4
Aud Nzd EMA Crossover
This MetaTrader 4 expert advisor automates trading using an exponential moving average crossover strategy, specifically targeting the AUD/NZD currency pair.
GitHub stars1
Forks0
Last update8 months ago30 Dec 2025
LicenceNone stated
Overview
Aud Nzd EMA Crossover filters entries using ADX for trend strength and ATR for volatility, ensuring trades occur under specific market conditions. Risk management is handled through ATR-based stop losses, a fixed risk-to-reward ratio, and dynamic lot sizing proportional to account equity. The robot includes a session filter to restrict trading hours, a spread filter, and a time-based exit function to close stale positions. Note that the repository lacks documentation, requiring users to rely on input parameter labels.
- EMA five and twenty-one crossover signals
- Trend and volatility filtering using ADX and ATR
- Dynamic lot sizing based on account equity
- Mandatory session filtering and time-based exits
Details
Author
AnMoreNight on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
Indicator crossover
Markets
Forex
Timeframes
M15-H1
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 aud_nzd.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
MagicNumber | int | 123456 | Magic No. |
EquityPerUnit | double | 150000.0 | ¥150,000 per unit |
LotsPerUnit | double | 0.01 | 0.01 lots per EquityPerUnit |
atr_sl | double | 1.5 | ATR Value To Set SL |
rr_ratio | double | 1.5 | RR Ratio |
Setting_1 | string | EMA Settings | |
period_short_ema | int | 5 | Short EMA Period |
period_long_ema | int | 21 | Long EMA Period |
Setting_2 | string | ADX Settings | |
use_adx | bool | true | Use ADX for Volatility Measure [ENABLED BY DEFAULT] |
adx_period | int | 14 | ADX Period |
adx_threshold | double | 21 | ADX Threshold |
Show all 27 inputs
| Name | Type | Default | Description |
|---|---|---|---|
Setting_3 | string | ATR Settings | |
use_atr | bool | true | Use ATR for Volatility Measure [ENABLED BY DEFAULT] |
atr_period | int | 14 | ATR Period |
atr_threshold | double | 2 | ATR Threshold |
Setting_4 | string | Spread Settings | |
use_spread | bool | true | Use Minimum Spread [ENABLED BY DEFAULT] |
spread_threshold | double | 20 | Spread Threshold |
Setting_5 | string | Session Settings | |
use_session1 | bool | true | Use Session Filter [ENABLED BY DEFAULT] |
Start_Time1 | string | 01:30:00 | Session Start Time |
End_Time1 | string | 14:30:00 | Session End time |
Setting_6 | string | Time-based Exit | |
enable_time_exit | bool | true | Enable time-based close [ENABLED BY DEFAULT] |
exit_after_hours | int | 24 | Close trade after X hours (if still open) |
exit_after_days | int | 0 | Or after X days (if preferred) |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone AnMoreNight/trading_aud_nzd from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
- 3Copy the filesCopy the .mq4 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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