The management of deep learning algorithms to enhance momentum trading strategies during the time frame to quick detect market of smart money

Abstract

In automatic trading, the interfaces to use in fulfilment are predefined to launch the platform for trade, which provides computers with the ability to make decisions and learn without explicit programming where all monitors are automated. The main goal of this chapter is to set a trading algorithm for a quick action in the market of smart money, using data science in the analysis of the integration, the distributed ledger technology to securities network and managing the trading account of a token ecosystem, which they are the basics of the crypto-currencies to enhance momentum trading strategies during the time frame of automated broker, and the trading with a large portfolio strategy in the market that needs big data.