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The financial crisis may have turned much of Wall Street's wealth into dross, but a select group of hedge fund managers has managed to maintain a golden touch. According to an annual ranking of top hedge fund earners by Institutional Investor's Alpha magazine as major markets and economies careened downward last year, 25 top managers reaped a total of $11.6 billion in pay by trading above the pain in the markets. Four hedge fund managers took home more than $1 billion each.

James H. Simons, a former math professor who has made billions year after year for the hedge fund Renaissance Technologies, earned $2.5 billion running computer-driven trading strategies. John A. Paulson, who rode to riches by betting against the housing market, came in second with reported gains of $2 billion.

However, how following information may help an average investor or trader without deep pocket to achieve better then average results? In regard of Lev Letvinski systems supports analyst at emini-systems.com computer-driving strategies or algorithm based (quantitative) systems may help in this dark times.

Quantitative finance started in the U.S. in the 1930s as some astute investors began using mathematical formulas to price stocks and bonds. Harry Markowitz's 1952 PhD thesis "Portfolio Selection" was one of the first papers to formally adapt mathematical concepts to finance.

Quants often come from physics or mathematics backgrounds rather than finance related fields, and quants are a major source of employment for people with physics and mathematics Ph.D's. Typically, a quant will also need extensive skills in computer programming. In electronic financial markets, trading system, also known as algorithmic trading, is the use of computer programs for entering trading orders with the computer algorithm deciding on certain aspects of the order such as the timing, price, quantity of order.

“Recent years have seen a surge in the growth of automated trading because global electronic markets continue to attract more volume, as firms worldwide utilize trading automation at an increasing rate,” Mr. Letvinski told.

Technologies devised for automated trading are making markets more independent. As bigger data pipes and faster computers are increasingly deployed by trading firms to monitor real-time prices across multiple markets, the window of time required to capture inter-market arbitrage opportunities is diminishing. At the same time, an investor opening an account with a brokerage firm simply cannot simultaneously manage the real-time analysis and trade in more than 4-6 financial instruments in several markets 24 hours 7 days a week. This brings about the need to employ automatic trading systems (strategies) in the form of runtime environment with client and server parts and the programs to control these systems (scripts).

TradeStation is a Windows-based application, designed, sold and distributed by TradeStation Securities broker. Technical analysis software is used for analyzing and trading the financial markets.

TradeStation is a professional trading platform for financial market traders.
It is used mainly by retail and relatively small investment operations as large financial institutions tend to have their own in-house solutions. It provides extensive functionality for receiving real-time data, displaying charts, and entering investment positions. Trading strategies can be back-tested and refined against historical data before trading live. A large number of third-party developers sell add-on extensions for TradeStation. Unfortunately, computer-driven programs require extensive experience and skills in math, statistics together with skills in programming and finance.

Emini-systems.com (http://www.emini-systems.com ) is premier online service which mission is to deliver high quality trading system to traders. For their customers company provides system-ranking service. For traders and investors system ranking service is an ideal way to ensure that system they are willing to buy is complying with high quality requirements. This service is a great place for average investor who would like to gain in this scientific quantative world but don't have degree in finance. For small private family funds, Emini-systems.com may be a solution too. It is too expensive to hire two or free scientist to research and develop robust trading systems. In this case, trading system can be buying or lease regarding rules system developers provides.

"By obtaining a trading system you will be able to back test system using your own data, your own criteria and preferred market. Situation control, no management fees, ability to use your own inputs, responsibility from your decisions, learning - these are the reasons which makes classic trading systems still popular" Mr. Letvinski says.

EminiOnline.net ( http://www.eminiOnline.net ) branch Company of Emini-systems.com may help systems developers to sell there trading systems. Why vendors are selling systems if they so profitable? “Why do not earn extra money and use it for own trading?” Mr. Letvinski asked.

In conclusion: for average investors, financial services on the web offer great benefits. It may help to find safe place and stay in front in this scientific age.

Article Source: http://depositarticles.com/

References: Harris, Larry, Trading and Exchanges (Market Microstructure for Practitioners, Oxford University Press, 2003 Wikipedia, the free encyclopedia, 2009 Louise Story, The New York Times, 2009

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