WHO BUILDS BREAKSMITH

Product information with a named developer.

Breaksmith is developed by Truong Nguyen, an independent algorithmic trading developer in Australia with more than 11 years of experience. His official MQL5 profile identifies his focus on practical, risk-aware MetaTrader systems and XAUUSD automation.

ABOUT THE DEVELOPER

Practical systems. Disciplined exposure.

Truong Nguyen develops automated trading tools for MetaTrader, with particular attention to XAUUSD. His public MQL5 record dates to 2015 and currently shows more than 11 years of experience, four published products, demo availability and an MQL5-hosted signal.

His development approach treats entry logic as only one part of a complete system. Breaksmith is built around market-structure breakout detection, adaptive protection, dynamic trailing and intelligent exits rather than grid trading, martingale recovery or uncontrolled risk.

Because automated trading products can affect real financial decisions, this site connects every buyer to the official developer profile, marketplace listings, testing limitations and externally hosted signal before purchase.

Product principles

  • Defined exposure: every Breaksmith trade is opened with a stop loss.
  • No hidden recovery: no martingale, grid, unlimited averaging or recovery lot multiplication.
  • Evidence in context: hypothetical backtests are labelled and never presented as guaranteed returns.
  • Official checkout: sales, licensing, downloads and activations remain on MQL5.
  • Buyer verification: demo testing with the intended broker is encouraged before live use.

How to verify Breaksmith

Support and product questions

Use the official MQL5 profile or the comments area on the relevant product listing. This keeps product and licensing communication connected to the marketplace where the software is distributed.

Important risk warning

Trading foreign exchange and precious metals involves substantial risk and may not be suitable for every investor. Leverage and aggressive position sizing can produce rapid losses, including the loss of the entire trading balance. Backtests, simulations and historical results do not guarantee future performance. Demo testing, adequate capitalisation, conservative settings and continuous monitoring are strongly recommended before live use.