Quantitative trading strategy models are established to predict the tendency of such investment targets as futures, and trading signals are generated from the models for buying low and selling high or selling high and buying low or both to gain ROIs other than incomes from traditional assets as stocks and bonds for investors.
Product style: The more volatile the market is, the higher the return is.
The medium-term CTA strategy is also one of the common strategies in the market. It outdoes the short-term CTA strategy in terms of capacity. Quantitative trading strategy models are established to predict the medium and long-term tendency of such investment targets as futures, and trading signals are generated from the models for buying low and selling high or selling high and buying low or both to gain ROIs from the volatile commodity market for investors.
Product style: The more exciting the tendency opportunity is, the higher the return is.
The market neutral strategy, a new product line developed by our Company in 2018, means that both a long position and a short position flexible hedge market risks are built and returns are gained from the system risks in the hedged strategy combinations. Arbitrage opportunities are discovered by analysis of quantitative models and historical data. Given that this strategy features low relevance to other peers, it can effectively avert the system risks in the stock market to configure a product of this type.
Product style: Absolute gains can be mined through the neutral strategy with small fluctuation.
A quantitative risk model is used to combine the CTA strategy, equity market neutral strategy and other strategies into one to avoid the limitations of a single strategy in the specific market. Meanwhile, low correlation among several strategies that are combined into one can better lower the overall fluctuation of the combination, which will bring robust profits on the basis of risk diversification and strict control of retracement.
Product style: Combination of strategies featuring robustness.
