澳洲会计学论文代写：算法交易
澳洲会计学论文代写：算法交易
算法交易被定义为一个交易系统，它使用创新和先进的数学模型在金融市场，使交易决策。此外，精心作出的决定是由计算机启动的基础上实时数据接收他们。算法交易最常用的方法是大型机构投资者每天大量购买股票。由于交易量巨大，可能导致股价的不利波动，因此该系统被设计成将大份额分成较小的部分。复杂的算法决定何时和什么样的价格较小的块被购买，而不会有任何重大影响的股票价格，也找出了市场将在未来的方式，并采取相应的市场地位。
随着算法的支持，投资和执行的决定可能会在任何时候放大或也可以完全自动操作。它起着增加成交量、降低股票价差和交易成本和向市场流动性的价值。他们收到的订单流的类似于其他市场参与者接收而快一点因为“协同定位设施利用他们的信息。
与算法交易有关的问题是一些个人可能利用计算机操作市场的可能的威胁和疑虑。计算机对管理、CEO或其他任何定性信息一无所知。他们只考虑可量化的信息。
同时，监管机构不知道该程序是馈给电脑，因此担心在程序或执行的任何漏洞可能会导致崩溃，这将有不利影响其他市场参与者。2010年5月6日，道琼斯工业平均指数的价格在第二点的盘中波动（在15分钟内下跌了600点），这是一个类似的情况。建议必须作出必要的改变，增加透明度，使人们对市场更有信心。
澳洲会计学论文代写：算法交易
Algorithmic Trading is defined as a trading system which uses innovative and advanced models of mathematics in financial markets to make transaction decisions. In addition, elaborate decisions are made by computers to initiate order on the basis of real-time data received by them. The most common use of Algorithmic Trading is by large institutional investors who make a bulk purchase of shares on a daily basis. Since, the quantity traded is huge, it might result in adverse fluctuations in stock price; hence the system is devised to divide the large share block into smaller lots. The complex algorithms decide as to when and at what price the smaller blocks are to be bought without having any major impact on the stock price and also to find out the manner in which the market would go in future and take the position in the market accordingly.
With algorithmic support, the decisions about investment and execution might be amplified at any time or can also be operated completely automatically. It performs the valuable function of increasing the volume, fall in stock spread and cost of transaction and rendering liquidity to the market. The information they receive about ‘order flow’ is similar to what other market players receive but a bit sooner because of the ‘co-location’ facility availed by them.
The issues associated with Algorithmic Trading are about the probable threats and doubts that some individuals might be utilizing a computer to operate the market. The computers have no knowledge about the management, the CEO or any other qualitative information. They only take into consideration the information which is quantifiable.
At the same time, the regulators aren’t aware of the program which is fed to the computers and hence are afraid that any loophole in the program or its execution might result in a meltdown which would have adverse impact on the other market players. A similar situation was observed on May 6, 2010 when the price of Dow Jones Industrial Average underwent its 2nd largest intraday swing in the points (a fall of 600 points in 15 minutes) and is popularly known as Flash Crash. It is suggested that necessary changes must be made by adding more transparency which would give people more confidence in the market.
