TRADERISER: A Decentralized Ecosystem for Answering Trading Questions!

During the past one decade, we have witnessed massive growth in the ‘world wide web’. This development gave birth to a lot of new innovations in search engine technology. These innovations have undoubtedly made the web more accessible and unique. In spite of these developments, financial data analytics remains deprived of all the growth. It has not enjoyed the same the level of simplicity and accessibility seen in the ‘world wide web’.
But solely for developing the financial analytics, the growth of big data cannot be hindered. The financial firms and individuals alike are in a race to find trading opportunities. This task will only get harder as new avenues of data are discovered. The only thing we as human beings will do is the struggle to keep up.

In the business of trading and investing, the most powerful financial analytics is normally in the reserve of the few. To revolutionize these existing dynamics, TradeRiser has been launched. It is looking to disrupt the current sceanrios, by decentralizing financial data analytics and giving the accessibility to the masses.

TradeRiser is providing an infrastructure with an AI based Research Assistant. This tool is highly powerful as it can answer both simple and complex trading questions. Such problems are however deepened with the increase in number of both of cryptocurrencies and financial professionals wanting to trade them, alongside traditional securities.

TRADERISER:
TradeRiser is an artificially intelligent Research Assistant. The main functions of this platform are to train the artificial intelligence and to use the blockchain to build an incentivization system. This system will be very powerfully supported and fed by data from a large network of quantitative analysts and researchers.
Also, they have introduced a novel token based economy called XTI, which is specially designed to incentivize researchers, for their data and contributions to the platform. TradeRiser focuses on making the research process quicker and an altogether better user experience. This is done by natural language querying.

Why TRADERISER?

The platform very judiciously uses the statistics to curate and check optimal trading strategies without relying on software engineers and quant.
Also, it intelligently analyzes the news and world events data and their effects on cryptocurrencies and traditional assets.
Traderiser also helps in leveraging the blockchain to create a decentralized ecosystem of financial analysts.
The process of query and answering is very easy. If users have questions, they can just ask the platform. TradeRiser handles natural language queries. With data being at the heart of machine learning crowdsourcing the questions and answers necessary to train models and incentivize participation via a token-based network will ensure a much larger model.
The platform quickly discovers investment and trading opportunities and unveils them to the users.

TRADERISER Participants:
Financial Analysts: They can also provide market opinion which is used in sentiment analysis.
Hedge Funds: Will be able to purchase the enterprise version and will be required to pay a monthly access fee in XTI which is used to fuel the ecosystem pool.
Users: All users will be required to have XTI to use the community version.
Data Providers: Providers are individuals that provide publically available data from various sources to be used in the ecosystem.

Brokers & Exchanges: All brokers and exchanges can enlist on their ecosystem to gain more clients.
Virtual Assistants: We will partner with Alexa, Cortana, Siri and Google Home.
Quant and Analytics Firms: As part of our ongoing expansion and value creation we will partner with research and analytics organisations.

Conclusion:
TRADERISER’s contributing community of financial analysts across the globe will in essence rival the equity research teams found at numerous investment banks.

For more details visit
Website- https://www.traderiser.com/

Whitepaper- https://www.traderiser.com/#block-block-14

Published By-karanj

Btalk Profile- https://bitcointalk.org/index.php?action=profile;u=1030341