Collection · MT5

Sirtinashe Expert Advisor Collection

by sirtinashe

This repository contains a collection of MetaTrader 5 expert advisors primarily designed for synthetic indices, specifically targeting Boom and Crash markets.

High risk

GitHub stars1
Forks0
Last update2 years ago18 Nov 2023
LicenceNone stated

Overview

The included robots, such as Roxie and SpikeDetector, utilize custom indicators like TrendCatcher to identify price trends and momentum shifts. The tools manage trades using fixed stop loss and take profit parameters, with adjustable lot sizes for risk control. Strategy implementation varies across files, covering RSI crossovers, harmonic patterns, and volatility-specific spike detection. The project lacks a README, meaning specific operational details for each EA are only available through source code analysis.

Details

Author

sirtinashe on GitHub

Type

Collection

Platform

MetaTrader 5 (MQL5)

Strategy

Trend following, Indicator crossover, Multi-strategy, Martingale

Markets

Indices

Timeframes

M1-M5, M15-H1

Risk profile

  • Uses martingale lot scaling: losses can grow fast

Input parameters

Read from Roxie.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
STOP_LOSSdouble50.0
TAKE_PROFITdouble50.0
USER_LOT_SIZEdouble0.2The lot size for trading

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone sirtinashe/ExpertAdvisors from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
  3. 3Copy the filesCopy the .mq5 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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