Information
| Username: | nghiand.amz | 
| Member since: | 06 Jul 2020 | 
| Last login: | 07 Jul 2025 | 
| Status: | Active | 
Activity
| Where | Created | Comments | 
|---|---|---|
| Forum Topics | 0 | 0 | 
| Jobs | 0 | 4 | 
About
                        About Me
I am a passionate software developer with a strong interest in financial markets and algorithmic trading. Combining my background in programming with my enthusiasm for trading, I design and develop intelligent trading bots that help minimize emotional bias and improve decision-making consistency.
With hands-on experience in C#, Python, and various trading APIs, I focus on building automated systems that are robust, data-driven, and adaptable to different market conditions. My approach blends technical analysis, quantitative methods, and disciplined risk management to create strategies that aim for sustainable performance.
Beyond trading, I am committed to continuous learning in the fields of data science, machine learning, and financial technology. I enjoy collaborating with other traders and developers, sharing knowledge, and exploring innovative ways to leverage technology in trading.
                            I am a passionate software developer with a strong interest in financial markets and algorithmic trading. Combining my background in programming with my enthusiasm for trading, I design and develop intelligent trading bots that help minimize emotional bias and improve decision-making consistency.
With hands-on experience in C#, Python, and various trading APIs, I focus on building automated systems that are robust, data-driven, and adaptable to different market conditions. My approach blends technical analysis, quantitative methods, and disciplined risk management to create strategies that aim for sustainable performance.
Beyond trading, I am committed to continuous learning in the fields of data science, machine learning, and financial technology. I enjoy collaborating with other traders and developers, sharing knowledge, and exploring innovative ways to leverage technology in trading.