Trading robot · MT5

Bollinger Bands DEMA

by hhuhhu

This MetaTrader 5 expert advisor implements a technical trading strategy using Bollinger Bands and the Double Exponential Moving Average (DEMA).

GitHub stars1
Forks1
Last update9 years ago16 Aug 2017
LicenceNone stated

Overview

Bollinger Bands DEMA performs multi-timeframe analysis, referencing the 30-minute chart for volatility envelopes and the daily chart for trend filtering. The robot executes trades using fixed lot sizes and includes logic to process entries only at the start of a new bar. Documentation is absent in the repository, and the code appears to be a basic implementation of indicator-based signals without configurable stop loss or take profit inputs.

Details

Author

hhuhhu on GitHub

Type

Trading robot

Platform

MetaTrader 5 (MQL5)

Strategy

Trend following, Mean reversion

Markets

Forex

Timeframes

M15-H1, H4 and above

Risk profile

  • Trades without a fixed stop loss

Input parameters

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

NameTypeDefaultDescription
bands_periodint20Bollinger Bands period
dema_periodint20DEMA period
bands_shiftint0Bollinger Bands shift
deviationdouble2Standard deviation
Lotdouble0.01Lots to trade

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone hhuhhu/MT5 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, and any .mqh files into the Include folder the code expects.
  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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