Big Data Analysis of Financial Risk and Avoidance Strategyxe2x80x94Based on Futures Industry This paper discussed the financial risks faced by the futures companies, and the necessity for futures companies to apply bid data system which can improve the efficiency and accuracy of reducing the financial risk and establishing beforehand warning model by means of big data intelligence analysis and quantitative modeling such as CTA strategy. In addition, this paper establishes a regression model by analyzing the indicators of market liquidity direction and finds the linkage relationship between market liquidity and futures contract price, so that the realtime monitoring and management of futures companiesu0027 changes of various factors can become possible under the big data system.

Blockchain financial investment based on deep learning network algorithm Abstract   In order to study the use of indepth learning to process financial data, it is proposed that the related technology of neural network and deep learning can be applied to financial data, and real stock index and futures data can be used to explore the application effect of neural network and indepth learning. Firstly, the theory and model of indepth learning and neural network are introduced in detail. Secondly, a simple neural network and indepth learning model are used in the stock index and futures price forecast. The data used in the input of the model include the price of a stock in the current trading and some data indicators, and the closing price of a stock in the next time. The decline will be reflected in output. If the output is up for 1 and down for 0, new data will be input after the training of the model. Finally, the output data can be compared with the real data to judge the application effect of the model, after comparing e and analyzing the application effect of the model. The results show that the research in this study can help investors to build an automated investment model and the investment strategy of the stock market. The construction can be used for reference to improve investorsxe2x80x99 investment strategy and return rate.