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I. MarketIII. Summary1. robots

Today, most of the sectors are high-opening, but only the robot sector actually has a big divergence. As a result, when the index began to fall, the robot sector quickly pulled up against the trend, which basically established that although the robot is the strongest direction in the main line of the current market, it has nothing to do with the index, and it can even be said that it has been inversely exponential. Fenda Technology word board, Astor second board, then Taier shares, construction industry and so on quickly went on the board, and the adjusted giant ship went out of the anti-nuclear, and the trend was low, and the trend leader Eft went on the board. The plate is still the most powerful direction in the market.3. Artificial intelligenceIn terms of direction, the strongest direction at present is the robot direction, but now the Keli sensing with low compensation has been accelerated, and there are not many opportunities. The strength of the artificial intelligence plate has been weaker than that of the robot, and with a state of the robot, consumption belongs to a direction that is started again today. At present, the insurance direction of the financial direction is still strong. The main anchor point is whether New China Life Insurance continues to get out of the trend band, and the other hidden line is the low price. After the powerful profit-making effect brought by the low price of Shandong Mining Machine and Leo shares,

Today, it can be considered that there is also a direction of realization in the intraday trading, but it is also not very expressive. The T-board of Tianyu Mathematics Department, Huayang Lianzhong rotten board, Hanwang Technology changed hands and rotten board, and the low position is worth buying the first board.II. PlateA-shares: Today, the index opened higher and went lower, and the market consumption and robots were the strongest. Other sectors basically opened higher and went lower, and the intraday retracement was large, which had a great loss effect.