Shanghai ShenYi Investment Co Implements Orc To Enhance Options Trading Capability in China
- 29.06.2015 01:00 am
Orc, the global market leader in electronic trading technology for listed derivatives, today announced that Shanghai ShenYi Investment Co. (ShenYi) has implemented Orc’s Trading Bricks solution to improve trade efficiency for ETF options trading on Shanghai Stock Exchange (SSE).
ShenYi is also participating in the mock trading competition organized by China Financial Futures Exchange (CFFEX) as the market prepares for the launch of CSI300 index options. Orc Trading Bricks is fast and built for change, it provides rich functionality which was quickly integrated with ShenYi’s trading environment for enhancing the firm’s overall trading performance and maximizing opportunities for growth.
“As we expand our options trading business, selecting the right technology platform to underpin our trading operations is critical,” said John Jodlowski, Chief Trader, Shanghai ShenYi Investment Co. “We knew that the Orc Trading Bricks platform is widely used internationally and when considering our needs for the Chinese markets we recognized that Orc’s expertise and proven technology would be a great fit for our business.”
“ShenYi chose Orc after extensively evaluating the solutions in the market and their decision is a strong testimony to the performance and scalability of our trading technology,” said Dennis Chen, VP Sales APAC, Orc Group. “There is a great demand from Chinese trading firms looking for proven trading solutions that will help them capitalize on the emerging market opportunities. We look forward to working with ShenYi to serve their present and future trading needs.”
Orc’s Trading Bricks platform has been engineered from the ground up to address the greatest demands in trading today: the incessant drive and expectation for performance, and the fundamental and frequent changes to the financial market landscape. With diverse clients trading around the globe, Orc’s app-based, modular architecture is a proven solution for both of these challenges.