News & media

India’s financial markets are evolving at an incredible pace, and we’re excited to be part of the conversation. Magmio will be participating in the Arjun Global India Roadshow, making stops in Mumbai and Gurugram to connect with traders and brokers on growing Indian markets. 

We’re excited to announce that Magmio has expanded its offering to the Bombay Stock Exchange! Our team has developed an FPGA-based feed handler based on the BSE Enhanced Order Book Interface (EOBI) protocol and a high-performance execution engine for the Enhanced Trading Interface (ETI).

High-Frequency Trading (HFT) is a form of trading where algorithms execute massive volumes of transactions extremely quickly. This advanced method allows firms to capitalize on minimal price differences across multiple exchanges, buying and selling securities within nanoseconds.

High-frequency trading is a sophisticated technique that utilizes powerful computer programs to execute numerous orders in fractions of a second. HFT firms employ complex algorithms to analyze multiple markets simultaneously, identifying and capitalizing on price discrepancies and trading opportunities. These strategies involve high-speed trading systems that process vast amounts of market data and execute trades faster than humanly possible.

This article explores essential concepts and best practices for FPGA programming, guiding through developing efficient and effective designs using hardware description languages (HDLs) like VHDL and Verilog. FPGAs are used in various industries, including high-frequency trading (HFT), where they have found critical applications due to their low latency and high throughput capabilities.

Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) have become powerful tools for accelerating various workloads. Both offer advantages in computational efficiency, making them essential for modern tech applications.