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How about the Rubik's Cube's quantitative income?
The person in charge of a quantitative FOF private equity partner also analyzed that market-neutral products can be understood as using hedging tools such as stock index futures to strip off market ups and downs on the basis of index-enhanced products, and only obtain the excess returns of managers who outperform the market. After the Spring Festival this year, the market quickly fell into adjustment and the transaction volume was relatively low. The difficulty of obtaining excess returns has obviously increased. With the increase of overlapping hedging cost, the performance of market neutral strategy has been adjusted back, which may not be the best choice at present.

1. Is Rubik's Cube's quantitative private placement reliable?

Rubik's Cube Quantification is a quantitative private equity fund manager with an asset management scale of over10 billion. Is a formal private placement manager, in the China Foundation for the record. Rubik's cube has been established for more than 6 years, and currently manages 12 1 fund. Rubik's cube quantifies the cumulative income of private placement: 263.02%, the income in the latest year: 46.94% (as of 202 1-0 1), and the annualized income: 27.84%.

Second, how about magic square quantification? Brief introduction of Rubik's cube quantitative private placement

Magic Square Quantization is a hedge fund company that relies on mathematics and computer science for quantitative investment. Since 2008, the founding team has devoted itself to the research, innovation and practice in the field of quantitative hedging, relying on powerful systems, unique models and strict risk control, and has always maintained remarkable investment performance. Magic Square Quantization is a leader in the trading and design of financial derivatives in China, and has been at the forefront of innovation. Magic square quantification always adheres to the highest legal and moral standards. With the help of science and technology, it tries innovative research that others can't imagine, has a world-class market, transaction, research, back test and risk control system, and optimizes traditional quantitative strategy research methods by using artificial intelligence frontier science such as deep learning.

To sum up, recently, users are actually advising investors to choose some products with relatively high volatility within their tolerance, because market neutrality makes it difficult to make money or even lose money. However, although the risk of fluctuation is high, the probability and space for the current index to fall is not large.