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About Me
My name is Daniel, and I am a Switzerland-based algorithmic trader with several years of experience in systematic trading and quantitative strategy development. My trading is fully rule-based and automated, with a strong focus on disciplined execution, risk management, and long-term portfolio construction.
Strategy Development
My strategies are developed through a structured research process that begins with market analysis and the creation of rule-based trading concepts. These ideas are then programmed into automated trading systems and tested over long historical periods using the MetaTrader 5 Strategy Tester with high-quality tick data to ensure realistic and reliable backtest conditions. Strategies that perform well in backtesting are then moved into a large-scale forward-testing environment on MetaTrader demo accounts, where several hundred systems can be monitored simultaneously across multiple servers. Only strategies that demonstrate stable forward performance and meet predefined standards continue into the final selection process.
Quantitative Evaluation
After passing both backtesting and forward testing, strategies are evaluated at portfolio level using quantitative analysis tools. I analyse performance metrics, drawdown behaviour, and inter-strategy correlations in order to build diversified portfolios with low internal correlation and improved risk efficiency. In addition, I run large-scale Monte Carlo simulations, including trade-order randomization and skipped-trade stress testing, to assess robustness, downside scenarios, and potential worst-case drawdowns before strategies are considered for live deployment.
Official Channels
Telegram: cheatcodesFX
Instagram: griedic
Linktree: linktr.ee/griedic
My name is Daniel, and I am a Switzerland-based algorithmic trader with several years of experience in systematic trading and quantitative strategy development. My trading is fully rule-based and automated, with a strong focus on disciplined execution, risk management, and long-term portfolio construction.
Strategy Development
My strategies are developed through a structured research process that begins with market analysis and the creation of rule-based trading concepts. These ideas are then programmed into automated trading systems and tested over long historical periods using the MetaTrader 5 Strategy Tester with high-quality tick data to ensure realistic and reliable backtest conditions. Strategies that perform well in backtesting are then moved into a large-scale forward-testing environment on MetaTrader demo accounts, where several hundred systems can be monitored simultaneously across multiple servers. Only strategies that demonstrate stable forward performance and meet predefined standards continue into the final selection process.
Quantitative Evaluation
After passing both backtesting and forward testing, strategies are evaluated at portfolio level using quantitative analysis tools. I analyse performance metrics, drawdown behaviour, and inter-strategy correlations in order to build diversified portfolios with low internal correlation and improved risk efficiency. In addition, I run large-scale Monte Carlo simulations, including trade-order randomization and skipped-trade stress testing, to assess robustness, downside scenarios, and potential worst-case drawdowns before strategies are considered for live deployment.
Official Channels
Telegram: cheatcodesFX
Instagram: griedic
Linktree: linktr.ee/griedic