Algorithmic trading harmonizing to Chan is the trading of securities based purely on the buy/sell determinations of computing machine algorithms and it now accounts for an estimated one tierce of trading volume in the United States. These algorithms are designed by bargainers and mathematicians ; they are normally based on historical informations but besides see existent universe factors and hazard in their computations.

The advantages are tremendous ; a computing machine plan can do determinations in a fraction of the clip a human can, and can see more factors. Yet the complexness of planing such a system leads to enormously complexness and like trading in the traditional sense it still really hard to do money.

2. Design Considerations

When planing any system there are certain things that need to be taken into consideration. This system requires certain cardinal finical/economical apprehensions to be considered ; and subsequently implemented. Other cardinal basicss besides need to be discussed such as trade costs and hazard for illustration.

2.1 Exchange Ratess

Exchange rates change invariably and for a assortment of grounds ; these grounds are frequently debated but certain cardinal factors remain prevailing and are described and discussed below. Not every factor can be considered, or sometimes even quantified, but their effects can non be ignored.

2.1.1 Interest Ratess

Interest rates are basically the fees paid on borrowing assets, such as money ; in the United Kingom the Bank of England sets the involvement rate. If for illustration the economic system is under executing it would take down the involvement rate to promote adoption ; the net affect should be an addition is consumer disbursement which will assist hike the economic system.

A high involvement rate is preferred to investors nevertheless, when considered on a Mundell-Flemming theoretical account: A higher involvement rate denotes a tight pecuniary policy and as a effect there would be an increased demand for the plus and an grasp in the currency ( Frankel, 1997 ) .

2.1.2 Employment

Employment impacts upon economic growing ; as unemployment figures rise consumer disbursement falls, as there is less money to pass, particularly on points deemed non-essential. Typically those who are employed in times of high unemployment tend to cut down disbursement and salvage more for the hereafter as good ( Oanda, 2012 ) . Hence a autumn in unemployment will typically appreciate the exchange rate as it should take to increase in involvement rates.

2.1.3 Inflation

Inflation is the rise in monetary values, services or goods in an economic system over a period of clip ; this causes the general monetary value degree to lift so each unit of currency ( like a lb ) will purchase you less. As a effect therefore the currency is de-valued and this negatively affects the exchange rate.

2.1.4 Political stableness

The political stableness of a state can hold a dramatic consequence on the exchange rate ; events such as elections or political convulsion will ensue in instability. One interesting illustration, harmonizing to StarfishFx ( 2010 ) , was the Kosovo War, where the Euro fell by about 10 % in three months against the U.S. Dollar. The downward force per unit area created by the war in Kosovo is considered to be one important ground for this autumn.

2.1.5 Import and Export ( Balance of Trade )

Trade balance is the difference between the values of the goods imported and exported ; this is factor frequently considered by investors but can frequently be misdirecting. During enlargement for illustration states may import more which leads to more competitory monetary values and bounds rising prices. Yet during recession states will export more to make occupations and increase demand. ( Investopedia, 2012 )

However this can hold an consequence on exchange rates as the rise in exports from a state, that is larger than the rate of imports, shows a greater demand for the export. This, in bend, increased locale and an addition in the currency value ( every bit good as demand for that currency ) . This relationship is even more marked within a currency brace.

2.1.6 Market Guess

Guess by market operators can play a big portion in act uponing exchange rates. In the foreign exchange market most minutess are really bad, and can frequently trip a purchasing craze if the market predicts a rise in value. The converse is besides true and an expected bead in currency value can do people to get down merchandising and deprecate a currency. ( StarfishFx, 2012 )

2.2 Trading on FOREX ( Foreign Exchange ) Market

When sing trading on the FOREX Market it is of import to un derstand the associated costs ( Transaction Costs ) and how to pattern certain cardinal points: such as the associated hazard, volatility of the theoretical account and the calculate PnL ( Profit and Loss ) .

2.2.1 Transaction Costss

Transaction costs are incurred by purchasing and selling securities ; agents and Bankss have different rates and these have to be accounted for and considered when implementing a theoretical account. For the intent of this theoretical account we will be presuming a fixed dealing cost of 0.005 % which will be factored into the theoretical account.

2.2.2 Volatility and Risk

Volatility is basically a statistical step of stableness, it refers to & A ; Acirc ; & A ; acirc ; ˆ?the sum of uncertainness or hazard sing the grade and size of alterations in the value of a security & A ; acirc ; ˆA? ( Investopedia, 2012 ) . Higher volatility hence would intend that, the monetary value can alter drastically over a short period in either way. Lower volatility, conversely, would connote less fluctuation and a steady addition in value over clip.

Daily ratings of volatility are produced for currency couplings and can easy be factored into a theoretical account ; utilizing the ratings it is possible to compare the current monetary value to the volatility to find if it is deserving trading. Functioning on a risk/reward footing it is possible to accomplish high payouts utilizing this method but besides to lose money.

There are legion method of ciphering hazard but one the investors like to see is a Value at Risk ( VaR ) computation. This shows clearly the sum of possible loss in a given clip frame and it & amp ; acirc ; ˆ™s likeliness: For illustration my theoretical account may incur a 5 % one month VaR of $ 10,000, this means there is a 5 % opportunity that of losing $ 10,000 in one month.

It is ever of import to see the hazard when doing a dealing as if the loss can non be absorbed so it must be considered excessively unsafe to put in the scheme.

Another utile consideration is the Sharpe Ratio ; this can be utilised to mensurate hazard adjusted public presentation and show if an investing was smart or the consequence of surplus hazard. This is most frequently applied to compare investings and show which produce their returns with excessively much hazard.

2.2.3Profit and Loss

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