Monday 27 October 2014

Dukaandari Approach to Algos



The algorithmic trading applications that have been designed, developed, and launched by Clone Algo Inc follow the unique Dukandari approach. What this approach entails is that for each arena whether it is Forex, Gold or commodities, there is a specific app that have been specifically designed to deal with trades in that particular area. 

For example, if the app by Clone Algo is designed to do predictions related to Crude Oil commodity, then it will perform trading in the field of commodities sector only. Crude oil is an important commodity which directly affects the production costs of industrial organizations. That is why companies try to cut down on this cost by deploying risk management strategies and using trading technologies. This is where the algorithm trading apps such as the one by Clone Algo comes into play. 

There are apps which are solely designed for this particular commodity only, which is what qualifies it as a specialized trading application. Another similar commodity is Gold. The worth of Gold is always fluctuating as it is prone to constant ups and down. Buying and selling of gold commodities during these fluctuations and making the profits in-between, is the end-goal of all traders. The algo trading app by Clone Algo observes the factors that influence such price fluctuations in Gold and offers suggestions as to when to buy and when to sell it off (whichever is more profitable option).

Another highly lucrative business is that Forex (foreign exchange) which involves buying and selling of various currencies and thus making money due to differences in their values. Clone Algo has designed a specialized application that deals in initializing Forex related trading only.  

In conclusion, Clone Algo follows dukandari approach, which in simpler words is specialization pertaining to a particular field. The company has created dedicated apps for various fields like Forex, Gold, and Crude Oil to ensure highest degree of accuracy in predicting profitable trades. 

To know more, visit www.nirajgoel.com

Probability Generator



Algorithmic trading, also known as automated trading is area in which Clone Algo Inc specializes in. The company has designed software that uses algorithms based on artificial intelligence. The technology is used on electronic platforms for managing trading orders. The algorithmic software executes programmed instructions with the use of variables such as quantity of order, price, and timing to name a few. It also initiates the orders by analyzing the stock market conditions using automated computer instructions. 

The algo trading app is extensively used by investment banks, and institutional traders to manage risk and earn passive income. Now the way this app works is that it calculates the probabilities of various outcomes and according initiates orders by analyzing which current trade option is likely to yield maximum returns. For example, investing in stock market while the prices of shares are going down is not a sound decision. Unfortunately for humans it is hard to predict when the prices of a particular stock are likely to rise or plummet since countless factors go on to affect the prices of financial instruments. 

However, using a probability generator tool it can be estimated and that is exactly what the clone Algo trading app does. As discussed earlier, its algorithmic technology takes into account various factors that influence the stock marketing and other instruments in financial market. After analyzing those factors it determines the chances/probabilities of receiving returns from a particular transaction.

The algo trading application has been designed after years of intensive research in timing technology and artificial intelligence which is why it promise highly accurate calculations which traders use for making the soundest financial decision. The USP of this probability generator tool is that it gives spot-on outcomes every single time it is deployed for calculating statistical odds of a particular trading option. 

For more information, visit: www.nirajgoel.com