Heiken Ashi Naive is a trading robot for MetaTrader 4 and 5 that executes trades based on Heiken Ashi candle characteristics, including body length and wick presence. It evaluates candle sequences to enter positions and can be configured to either follow the trend or operate in an inverted mode for mean-reversion. Risk
Trading robot · MT4
PhD Appsolute System
This MetaTrader 4 expert advisor implements a reversal and trend-following strategy based on SOMAT3 and IRC Triplets indicators.
GitHub stars10
Forks5
Last update6 years ago29 Nov 2019
LicenceNone stated
Overview
PhD Appsolute System evaluates price action across consecutive bars to identify entries and offers an optional trend filter for signal validation. The system manages risk using fixed lot sizing, initial stop losses, and take profit targets. Trade management features include automated break-even logic, a trailing stop, and the ability to force close positions when an opposite signal occurs. The repository documentation is minimal and primarily describes Java examples despite containing this MQL4 code.
- SOMAT3 and IRC Triplets indicator integration
- Automated trailing stop and break-even management
- Trend filter and previous bar validation
- Automatic position closing on opposite signals
Details
Author
lvcster on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
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 PhD Appsolute System.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
TRADE_SETUP_ATTRIBUTES | string | — | TRADE SETUP ATTRIBUTES |
rideTrend | bool | false | |
reEnterOnNextSetup | bool | true | |
MONEY_MANAGEMANT | string | — | MONEY MANAGEMANT |
lVolume | double | 0.02 | |
trailingStopPoints | int | 10 | |
targetPointsTrailingStop | int | 20 | |
targetPointsBeforeTrailingStop | int | 20 | |
initialStopPoints | int | 10 | |
breakEvenTargetPoints | int | 30 | |
initialTargetPoints | int | 70 | |
applyBreakEven | bool | true |
Show all 19 inputs
| Name | Type | Default | Description |
|---|---|---|---|
forceCloseOnOppositeSignal | bool | true | |
period | int | 34 | |
sensitivityFactor | double | 1 | |
validatePreviousbar | bool | false | |
autotradingEnabled | bool | false | |
trendFilterEnabled | bool | false | |
debug | bool | false |
How to Install It
- 1Download the sourceUse "Download source (.zip)" above, or clone lvcster/Java-examples 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, 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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