Broctagon Fintech Group Launches Native Altcoin Liquidity Management System

Broctagon Fintech Group has upgraded its NEXUS 2.0 liquidity aggregator technology, with the launch of Native Altcoin Liquidity Management.

Broctagon Fintech Group specializes in prime liquidity provision, brokerage technology solutions and enterprise blockchain development. The firm is headquartered in Singapore with over 10 years of established global presence in China, India, Russia, Cyprus, Hong Kong, Thailand and Vietnam.

Unlike major altcoins like Ethereum and Litecoin, most exchange tokens still suffer from chronic illiquidity. This leads to high slippage and market conditions which are undesirable for trading. To tackle this, Broctagon’s liquidity management system (LMS) is set to allow exchanges to regulate the demand and supply of their native altcoins via algo-automated execution to achieve healthy liquidity and enhance token tradability and use a Price Mapping function which helps exchanges implement a successful growth roadmap for their native altcoin, while achieving volume consistency The system also utilizes pre-configured parameters based on inhouse research insights to formulate an ideal price trajectory. According to the firm, the LMS rebalances bid/ask to achieve tight spreads for traders to enter and exit with ease.

The upgrade is available immediately and being part of the NEXUS system means it is API ready to connect any altcoin price feed seamlessly to other exchanges for wider exposure and Straight Through Processing (STP) execution.

“Native tokens are essentially the backbone of exchanges and the NEXUS LMS sets the stage for exchanges to evolve to the next phase of maturity,” said Ted Quek, Chief Technology Officer of Broctagon. “Credible liquidity at both entry and on exit encourages broader market participation which fuels growth for native tokens. The rising value of Native Tokens ultimately validates not only crypto exchanges, but the industry at large, advancing crypto one step further towards mainstream recognition.”

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