Financial market is by and large altering, fluid and unpredictable. In view of this, financial analysis with regard to the correlation of the risk factors and forecasts for earnings is essential to any portfolio construction. Since the rate of technological change has been accelerating, it has a clear impact on today's financial markets that have been reshaped with advent of machine learning and its components. Abundant development of AI-technologies, in particular, has encouraged TradeRiser, a UK-based company providing solutions to IT industry to design a set of innovative financial instruments to assist trading. The platform will help aggregate data for market analysis in terms of market conditions.
https://www.traderiser.com
Key features and implementation
To enable easy-in-use research assistance, TradeRiser has primarily explored the field of natural language processing (NLP) to develop a substitution method for algorithmic trading, more specifically, to implement NLP for the calculation of algorithms. The key features of the platform include Research Marketplace, Community Edition and Enterprise Edition, developed specifically for coping with the needs of corporations and hedge funds.
The purpose of the Research Marketplace is to provide support to investors in trade-related problems. Dialogue box is the backbone of the system. Addressing the unmet needs for empirical data analysis, the platform will allow to consolidate information on recent events as well as that related to the past from different resources in a single place. Engaging content producers in research community building will increase effective tasks solving. For that, content providers will post their reports and collect votes for their work. Since there is a risk of providing biased judgments, TradeRiser team will control the quality of the reports.
Trades are executed both by individuals and institutions. Since there are differences in the way each group trade, TradeRiser separates methods used by retail investors and institutional trading as belonging to Community Edition or Enterprise Edition. By examining the latest market events and behavioural patterns of traders, Research Assistance will shrink the area of data with regard to particular fields of interest. Moreover, financial analysis who will conduct research for traders and submit their word to the system AI-driven pool will be rewarded for their contribution.
Technical approach
Research process will be finished using two phase system. In the first phase, an inquiry will be sent to the research marketplace, specifying the field of interest. To simplify the process, TradeRiser will negotiate on using Siri and other comparable technologies to be applied for inquiries processing. The second phase includes financial services that are necessary for each particular case, such as investment schemes, trading arrangements, etc.
https://www.traderiser.com
As for trading facilities, direct trading will be enabled for all XTI token holders. An important feature for brokers and exchanges is that while providing their data to the system, they can gain new clients and use research assistance at full efficiency.
ICO Details
Pre-ICO round will start on August 23 and end on September 23, 2018.
Given the importance of high-speed communications for trading, it is not surprising that NLP is in high demand within the trading community. Perhaps most important, that the entire market can be analyzed and addressed both for private investors and institutions. TradeRiser's approach to data analysis will bring new resources into play as it allows for more targeted assistance for the segments associated with empirical data analysis for which no market solution could be designed so far. At present, the private alpha version of the platform is available on the official web-site of the company. However, the challenges associated with collaborative contribution to the development of the network that will take place in a form of content submission and the impact that these reports could have on the analytical characteristics still remain. Nevertheless, with regard to the novelty of the project that lies in the application of the NLP and system corrections that has been clearly articulated in the technical description, the accuracy of predictions and the overall analysis seems to be a point that has been constantly improving.
Links:
Website: https://www.traderiser.com
WhitePaper: https://bit.ly/2v7dtfT
Telegram: https://t.me/traderiser%20explainer
Facebook: https://www.facebook.com/TradeRiser-157017521786333/
Twitter: https://twitter.com/traderiser
Medium: https://medium.com/traderiser
ANN: https://bitcointalk.org/index.php?topic=3835944.0
Author: https://bitcointalk.org/index.php?action=profile;u=980049
Disclaimer
This review by Bonanza Kreep is all opinion and analysis, not investment advice.