Trading robot · MT4

Syacho

by KotaroHashimoto

This MetaTrader 4 expert advisor implements a technical trading strategy using Bollinger Bands and the Parabolic SAR indicator.

GitHub stars1
Forks0
Last update9 years ago19 Jul 2017
LicenceNone stated

Overview

Syacho operates on the M5 timeframe to identify price extremes via Bollinger Bands while utilizing M1 Parabolic SAR for trend confirmation. The robot includes hardcoded logic for specific currency pairs including EURUSD, USDJPY, and EURJPY, applying unique stop loss values for each. It features a fixed lot sizing model and a time-based exit filter to close trades after a specific duration. The repository contains no documentation, requiring users to rely on the source code.

Details

Author

KotaroHashimoto on GitHub

Type

Trading robot

Platform

MetaTrader 4 (MQL4)

Strategy

Mean reversion

Markets

Forex

Timeframes

M1-M5

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.

Input parameters

Read from Syacho.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
StopLoss_TimeOutint7
StopLossUSDint12
StopLossEURint15
Entry_Lotdouble0.1
Band_Sigmadouble3.0
Magic_Numberint1

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone KotaroHashimoto/Syacho from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
  3. 3Copy the filesCopy the .mq4 file into Experts.
  4. 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
  5. 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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