打开 MQL5 个人资料As the founder of QuantCore Systems, I develop and optimize Expert Advisors for MetaTrader 5. My focus lies on rule-based trading logic, structured backtesting, transparent risk control, and the development of automated trading systems for liquid markets.
My main focus lies on automated trading strategies for liquid markets such as gold, indices, and cryptocurrencies. For each of my Expert Advisors, I also provide recommended initial settings, which are explained in greater detail within the specific product description for each individual trading bot. These settings serve as a guide and should be independently verified by the user, then adapted to their personal risk profile and current market conditions. During the development process, I place particular emphasis on robust entry and exit logic, controlled drawdowns, market-phase-dependent filters, multi-timeframe analysis, and clearly comprehensible parameters.
A central component of my work is the reduction of overfitting. Consequently, my Expert Advisors are not optimized solely based on historical performance; instead, they are rigorously tested across extended historical periods, diverse market phases, and through additional robustness analyses. The objective is to develop strategies built upon logic that is transparent, rule-based, and as robust as possible. In this context, backtests, simulations, and optimizations serve exclusively to analyze past and hypothetical market situations and do not constitute a guarantee of future results.
My products are designed for traders seeking structured, automated systems who value clear settings, comprehensive documentation, and realistic expectations. Each EA is developed with the aim of systematically executing trading decisions and minimizing emotional errors in trading.
Important: Trading always involves risk. Backtest results, simulations, or past performance are not a guarantee of future profits. Every user should conduct their own tests, adapt the settings to their personal risk profile, and implement appropriate risk management.
Furthermore, my trading bots were developed and tested based on market data and trading conditions provided by Pepperstone. Therefore, to ensure the most comparable experience possible, it is recommended that you also test these bots under similar conditions. Differences in brokers, spreads, commissions, execution times, or price data may lead to varying results.
Separate, more conservative settings should be used for prop firm accounts. Since data feeds, spreads, commissions, and server times vary depending on the provider, prop firm setups are not automatically equated with the standard Pepperstone settings.
Please feel free to contact me at any time if you have any questions.
