Trade manager · MT5

Fractal Trailing Stop

by stevedee1000

Fractal Trailing Stop is a MetaTrader 5 expert advisor that automates trade management using Bill Williams fractal levels.

GitHub stars3
Forks3
Last update8 years ago21 Jul 2018
LicenceNone stated

Overview

The EA monitors open positions and dynamically adjusts the stop loss to the most recent up or down fractal, incorporating a user-defined point buffer for padding. It includes risk management features to calculate lot sizes as a percentage of account equity. Although primarily focused on trailing exits, the code includes logic for multi-timeframe direction analysis. The README is minimal and assumes the presence of custom dependency libraries.

Details

Author

stevedee1000 on GitHub

Type

Trade manager

Platform

MetaTrader 5 (MQL5)

Strategy

Trend following

Markets

Any symbol

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.

Input parameters

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

NameTypeDefaultDescription
riskdouble.001Amount of Account Equity to risk on trades
highPointsPaddouble30
lowPointsPaddouble20

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone stevedee1000/FractalTrailingStop 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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