As a computer science major, I've always been very interested in implementing automated trading programs, and I gained much more than I expected. The course is structured so that you can seamlessly follow the entire development workflow, from detailed aspects like API integration and order exception handling to backtesting and AWS deployment. It was truly beneficial to experience the practical system-building process firsthand, rather than just superficial coding.

Even though I trade with small amounts, I found myself panic selling in regret when losses grew during sharp drops, only to watch the market reverse and rise. I would hesitate to enter during an uptrend, then greedily chase the peak when it surged, only to be left staring at losses as it turned into a downtrend. Following the instructor's lecture, I used ATR/RSI indicators and support/resistance levels to identify sideways trends. By setting the upper and lower bounds of a box range and creating grid lines tailored to my investment amount, I've found peace of mind. Now, even during a decline, automatic buys make me look forward to the next rise. I really appreciated the detailed lecture content and the concise investment strategy. Thank you.

Thank you for the great lecture!

I'm still taking the course, and the overall lecture structure and the ability to follow the actual Python code step by step has been very helpful. Grid trading is also a necessary part for securing stable profits, and I'm particularly satisfied with the convenience of operating in the cloud and accessing it through a Streamlit dashboard. I'll study hard. Thank you for creating such a great course. Fighting~~

Thank you for the meaningful lecture