This MetaTrader 4 expert advisor implements a flexible strategy based on the directional consensus of multiple technical indicators. It allows users to combine Moving Averages, Stochastic Oscillators, THV3 T3, Babon Slope, and AMA Optimized modules. A trade is initiated only when all selected indicators align in the sa
Trading robot · MT4
Humza Final EA
This MetaTrader 4 expert advisor implements a multi-strategy approach to automated trading using several technical indicator combinations.
GitHub stars1
Forks0
Last update7 years ago16 Nov 2018
LicenceNone stated
Overview
Humza Final EA features distinct logic for long and short positions, utilizing the Relative Strength Index, Moving Average Convergence Divergence, and Ichimoku Kinko Hyo. Buy signals are generated via MACD and Moving Average crossovers filtered by RSI, while sell signals incorporate Fractals and candlestick patterns. Risk management is handled through individual stop loss and take profit settings for each direction. The EA also includes internal variables to track the performance of its specific sub-strategies.
- Multi-indicator entry logic including Ichimoku and Fractals
- Independent stop loss and take profit for buys and sells
- RSI and MACD trend filters
- Internal profit factor calculation for sub-strategies
- Fixed lot size risk management
Details
Author
humzama on GitHub
Type
Trading robot
Platform
Strategy
Indicator crossover, Multi-strategy, Trend following
Markets
Forex
Timeframes
M15-H1, H4 and above
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 FINAL 1.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Lots | double | 3.0 | Lots |
rsize | int | 21 | volatility range |
takeprofit | int | 380 | Buy Take Profit level |
stoploss | int | 70 | Buy Stop Loss level |
rsisup | int | 17 | Buy RSI Support |
MACDx | int | 58 | Buy 0 MACD range |
FastEMA | int | 29 | Buy 0 MACD Fast EMA |
SlowEMA | int | 71 | Buy 0 MACD Slow EMA |
MACD_SMA | int | 47 | Buy 0 MACD Signal EMA |
macdrsiperiod | int | 23 | Buy 0 RSI Period |
MAx | int | 55 | Buy 1 MA range |
period1 | int | 25 | Buy 1 MA Fast Period |
Show all 31 inputs
| Name | Type | Default | Description |
|---|---|---|---|
period2 | int | 133 | Buy 1 MA Slow Period |
movrsiperiod | int | 23 | Buy 1 RSI Period |
ichirsiperiod | int | 20 | Buy 2 RSI Period |
SenAv | int | 77 | Buy 2 Senkou Average Period |
sellStopLoss | int | 200 | Sell Stop Loss level |
rsiPeriod | int | 12 | Sell RSI Period |
fractalPeriod | int | 10 | Sell Check Fractal range |
rsiSupport3 | int | 20 | Sell 3 RSI Support |
rsiResistance3 | int | 80 | Sell 3 RSI Resistance |
macdFast | int | 10 | Sell 3 MACD Fast EMA |
macdSlow | int | 25 | Sell 3 MACD Slow EMA |
macdSignal | int | 7 | Sell 3 MACD Signal EMA |
rsiSupport4 | int | 40 | Sell 4 RSI Support |
rsiResistance4 | int | 65 | Sell 4 RSI Resistance |
tenkanPeriod | int | 12 | Sell 4 Tenkan Sen |
kijunPeriod | int | 27 | Sell 4 Kijun Sen |
senkouBPeriod | int | 54 | Sell 4 Senkou B |
rsiSupport5 | int | 30 | Sell 5 RSI Support Level |
rsiResistance5 | int | 80 | Sell 5 RSI Resistance Level |
How to Install It
- 1Download the sourceUse "Download source (.zip)" above, or clone humzama/Humza_Public- 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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