Financial news

Xaindex, a new cryptocurrency trading platform, has recently launched with a focus on developing neural networks and synthetic intelligence for cryptocurrency trading. The platform operates without any restrictions across various regions, and has its physical office located in Sydney.

The Australian Securities and Investments Commission regulates the company. Xaindex’s main focus is on crypto trading, and the company has accumulated significant successful experience in this field, with seven years of crypto trading and high-tech developments in neural networks.

Xaindex has developed its own version of artificial intelligence called synthetic intelligence (SI), based on these developments in the field of neural networks. This version includes complex human functions and the use of multi-level arrays of both dynamic and static data, which delivers tangible benefits.

The synthetic intelligence also helps Xaindex significantly improve the results of liquidity management in the cryptocurrency markets, and also manages liquidity according to the risk policy, tracking new patterns and fractals. As a result, the list of crypto-assets used in liquidity management is intelligently adjusted.

The platform

The entire financial system of the platform is based on an advanced model of the algorithmic stablecoin, known as an SUT, or Synthetic Utility Token. The difference from the standard model is that the whole system works to provide the token with a collateral value.

The platform plans to transfer all transactions to one of the popular blockchain platforms later this year, which will ensure full transparency of transactions, as well as the inflow of additional liquidity.

Investors and analysts often use AI in high-frequency trading strategies, as it can simulate human intelligence. Algorithms based on mathematical computation data, predictive analytics, and forecast methodologies can also analyse the markets and buy or sell cryptocurrencies within seconds.

Data scientists can offer accurate trading insights to non-tech-savvy traders or investors through an intuitive dashboard or interface. This is possible with the use of natural language processing (NLP) techniques, which allow data to be classified and entities extracted by specific characteristics including the currency name, document type, currency founder, and more.