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Nowadays, stock market prediction and trading has attracted many investors who want to make a higher profit. And a lot of researchers have paid attention on it because it is a challenging task due to the high complexity of the market. More investors put their effort to the development of a systematic approach. Many machine learning algorithms have been utilized for the prediction of action. In this paper, we adopted a CatBoost method which is a kind of boosting method leading to an optimal performance. In the feature engineering, we use the mean of other values about one kind of feature to fill NaN value. And we show the figure about the missing value distribution of the feature. We train our model on the dataset from Jane Street Market provided by kaggle website. The experiments show that our method achieves superior performance over the other machine learning approaches. Our model's unity score is 202 and 401 higher than those of Lightgbm model algorithm and Neural Network model. respectively.

Based on the newest research about open innovation and total innovation management, the paper puts forward the content and theoretical framework of open & total Innovation, and conducts a case study by the example of CIMC. According to the research outcome in this paper, open & total innovation management is the key strategy and path for Chinese firms to improve their international competitive competencies and obtain sustainable competitive advantages.

China has built up the longest, fastest and largest High-speed Rail (HSR) network in the world in only 7 years. Even though doubts and critics go along with its rapid development, Chinese HSR is still a successful case in terms of the implement of technology introduction, digestion and re-innovation strategy. Based on a long-term tracking study, the authors argue that, the achievements China has got in HSR industry since the introduction strategy in 2004 is significant. How does Chinese HSR industry grow so fast? How does the model of Indigenous Innovation with Chinese Characteristics influence the process? The answers to these questions would provide a reference framework for developing high technology in other industries and for implementing new catch-up strategies in other developing countries.