Symphony Fintech Receives NSE Algo Approval for Sharekhan

Symphony Fintech is the leading provider of Algo Trading Solutions in India. Sharekhan is India’s leading online retail broking house with its presence through 1800 "Share Shops" in 550 cities and serving more than 1 Million customers across India.

Mumbai, India, July 22, 2012 --(PR.com)-- Symphony Fintech, a provider of Algorithmic Trading Systems, today announced that NSE has approved an Algo-Presto with Trade Tiger-MAcrossover for use by Sharekhan. The algorithm works in coordination with Sharekhan’s Trade-Tiger front-end. Symphony had worked for very closely with Sharekhan tech team to develop & test the "Presto with TradeTiger" MAcrossover Algorithm.

Addresses a common problem that Sophisticated Traders face-

The "Presto with TradeTiger" algo addresses a common problem that sophisticated traders face in tracking positions in the F&O segment, which can be volatile as the expiry-date gets closer. The algo tracks multiple technical indicators and facilitates ready to place orders for the dealer to the exchange for optimal price/quantity. After a position is taken, the algo continuously monitors profit-taking and stop-loss parameters for an optimum exit. Special logic is applied to detect opportunistic roll-over conditions.

Value-add service for many clients-

"Symphony Fintech's turnkey algo allows Sharekhan to offer value-added services to its clients," said Ketan Parekh, Head of Technology, Sharekhan. "The strategy is integrated into Trade-Tiger for NSE F&O segment.”

Sharekhan is India’s leading online retail broking house with its presence through 1800 "Share Shops" in 550 cities and serving more than 1 Million customers across India.

Founded in 2010, Symphony Fintech is exclusively focused on providing Algorithmic Trading Solutions for the Indian Capital Markets.
Contact
Symphony Fintech Solutions Pvt. Ltd.
Shantanu Uni
+91-022-66960040 Ext-162
symphonyfintech.com
Sidharth Shah, +91 22 61169536, sidharth@sharekhan.com

http://www.sharekhan.com
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