Pros It was a lecture that packed a lot into a short period of time. Because the breathing was short, I was able to learn a lot in a short period of time. 1. In the technical analysis theory, the background and explanation for each indicator were well explained, so the explanation was short, but it was easy to understand because only the necessary parts were explained concisely. It was good to be able to learn the numbers and meanings of each indicator in a short period of time. 2. The explanation of the data analysis library Pandas was easy to understand. 3. I think I understood the theory of algorithm improvement (grid search, Bayesian probability), but it was not as easy as I thought when actually coding. 4. It was easy to modify the trading bot by looking at the actual completed code. Cons I confirmed that the algorithm related to long-term trends, short-term price fluctuations, and short-term trading volume provided here did not generate profits no matter how well the parameters were given and the backtesting period was extended during the backtest. I learned that trading strategies are important, but I wish there were lectures related to trading strategies later.