2024 Monetary Policy Tone How can investment institutions grasp market opportunities?

Mondo Finance Updated on 2024-03-01

At the beginning of the new year, the central bank clarified the key work content in 2024, put forward "a prudent monetary policy that is flexible, moderate, precise and effective", and successively issued a series of monetary policies such as RRR cuts and interest rate cuts, releasing positive market signals and laying the foundation for monetary policy to continue to do a good job in counter-cyclical adjustment and consolidate the economic recovery.

In this context, the market has also ushered in a wave of *** and with the end of the Spring Festival holiday, the market situation is becoming more and more complex, and various different views are constantly colliding. In the complex market information, how should investors accurately analyze, avoid risks, and seize opportunities?

Wisdom Quantitative Backtest

In-depth data is accurately quantified

In the face of complex market information, investment institutions need to establish a set of scientific and precise productsInvestment logicto fully explore market opportunities and avoid investment risks. It is based on such practical needs that in recent years,Quantitative investingRapid development in ChinaEfficiently tap information dividendswithThe effectiveness of the strategy can be verified based on historical backtrackingThe advantages of quantitative investment are shown in a high-pressure market environmentSignificantly exceeds the industry averageperformance returns.

Zhiyu quantitative backtesting platformIt is tailor-made for China's A-share investment institutionsQuantitative backtesting system, simulated disk system and quantitative early warning systemand other products as the core of the one-stop quantitative platform. Can help the managerValidate and optimize investment logicto manage and precipitate strategy research results for the whole company, and easily observe and compare the current performance of each strategy.

|Key features:

Historical backtest:The policy logic is implemented in Python language, and the effectiveness of the policy logic is verified by historical data.

Logical attribution:Multi-dimensional statistics and attribution of strategy performance are used to verify the credibility and overfit of backtesting.

Policy Management:The storage and management of existing strategy logic and backtesting results include a library of high-quality fundamentals and volume-price factors.

Monitoring Simulations:Put the strategy on the current real ** to track the actual performance of the strategy, and monitor and warn the current market style.

Zhiyu quantitative backtesting platform supportLocalized deploymentIt can realize the strategy backtesting of various time scales such as daily and minute lines, and conduct professional based on high-quality historical data that has been repeatedly cleaned and proofreadQuantitative testing and attribution frameworkto fully validate the policyOperability of the real marketWe provide scientific, safe and professional strategy research and development and optimization services to help investors seize opportunities and avoid risks in real investment, and effectively improve the accuracy of investment judgment.

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