assignment代写：股票量化交易策略分析
量化交易是一种高频交易形式，它利用技术要素使分析和策略在本质上更加量化。在这样的交易策略中，算法分析和统计有着广泛的应用。由于交易的性质和通常伴随交易而来的短期投资形式，这种交易形式具有更高的速度(Chan, 2009)。它们增加了市场的波动性，就个人投资而言，人们经常注意到，投资者在其中使用了振荡器或移动平均线等工具。
在股票交易中，通常有许多交易技巧。其中一些是完整的综合技术分析，研究特定时期的市场趋势。市场趋势通常不仅被认为是一个特定时期的指标，而且还被研究与其他变量的相关性，如交易量随时间的变化、宏观环境问题和交易过程中的影响等。技术分析是一种交易形式，与现代投资组合理论等现有策略有很大不同，因为MPT技术将与这种分析存在很大的矛盾。MPT风险厌恶的投资者能够投资组合结构的考虑市场风险,然后根据相同,投资组合将导致一个优化的风险,这样的回报,可以预期的是尽可能最大化。在这一理论中，对风险和风险管理的重视程度要高于基于风险所能获得的回报(Vidyamoorthy, 2004;康拉德和考尔，1998)。投资组合理论的基础是，当研究风险水平和理解风险的最大可能收益时，可以构建一组投资组合(Jarrow, 1994)。证券的估值是关于风险、资产配置、投资组合优化和业绩衡量的。然而，这一理论并不太适合当前观察到的市场条件的波动性。在这种情况下，有必要采取某种定量交易策略，因为它对技术因素以及更多因素的依赖性很强。量化交易被认为是一种涉及超级计算机分析的交易，作为一种投资技术，它对金融和价格走势分析非常有用。模式趋势被更好地发现，趋势跟踪技术也被更好地呈现(Jarrow, 1994)。
assignment代写 ：股票量化交易策略分析
Quantitative trading is a high frequency trading form involving such use of technical elements that make the analysis and strategy more quantitative in nature. There is extensive use of algorithmic analysis and statistics in such a trading strategy. This form of a trading is of a higher speed because of the nature of the trading and the forms of short investment that usually accompanies them (Chan, 2009). They increase market volatility and in terms of individual investments it is often noticed that investors make use of tools like oscillators or moving averages in them.
In stock trading there are usually a number of trading techniques employed. Some of them are a complete comprehensive technical analysis where the market trends over specific period of times are studied. The market trends are usually considered not only specific to period as a criterion but are also studied in correlation to other variables such as that of trading volume over time, the macro environmental issues and effect during trading etc. Technical analysis is a form of trading that is much different from existing strategies such as the Modern Portfolio Theory because the MPT technique would stand much in contradiction with this analysis. In MPT the risk averse investors would be able to have portfolio constructions that are seen to consider the risks in the market and then base on the same, the portfolio will either lead to an optimization of the risk such that the returns that can be expected is maximized as much as possible. In such a theory, the emphasis on the risk and the risk management is higher compared to that of the reward that can be acquired based on the risk (Vidyamoorthy, 2004; Conrad, and Kaul, 1998). The basis of the portfolio theory is that a set of portfolios can be constructed when the level of risks is studied and maximum possible returns for the risk are understood (Jarrow, 1994). Valuation of security is with respect to the risk, the asset allocation, portfolio optimization and the measurement of performance. This theory is however not that suited for the volatility of market conditions that are observed in current times. For such times it is necessary to have something of the quantitative trading strategy because of its strong reliance on technical elements and more. The use of quantitative trading is seen to be one where super computer analysis is involved and as an investing technique this is useful for financial and price movement analysis. Pattern trends are discovered in a better way and trend following techniques are also presented better (Jarrow, 1994).
