The improvement of the web has incited headways like the web search developments, which has made the web more accessible and basic. Anyway, fiscal data examination has not gotten a kick out of the same the level of ease and accessibility seen on the web. Cash related firms and individuals alike are in a race to find how to trade easily. This endeavor will simply get harder as new roads of data are discovered, individuals will fight to keep up.
A few of us are managing the day by day trade. A few of us are going to courses and motivating affirmations to get a win. The main intention is to make more benefit.
Trading has turned into a regular movement, yet just a couple have the entrance to trading. Just a couple of individuals approach budgetary examination accordingly keeping the ability to manage the ascent and fall of the market. There should be a system in the trading scene where the majority can approach monetary and trading information.
Introducing Traderiser
#TradeRiser is an Artificial Intelligence(AI)Research Assistant, that is designed to help individuals looking for trading data and answers. The AI assistant is built to work around the blockchain innovation, which will be a boost to the system and will be upheld and bolstered by information from a substantial system of quantitative experts and scientists.
The traderiser AI bot fills in as a particular learning database which is not at all like the mechanized bots being used right now.
TradeRiser revolves around affecting the research processes by making it speedier and an outright better customer experience.
Challenges
- Motivation | Simplifying financial information examination
- The Disruption of Human Intensive Research
- Fewer ideas are being tested
- Tedious
- Inefficiency
- Information Overload
- unstructured information
- Information Overload
- Inefficiency
- Tedious
- Fewer ideas are being tested
- The Disruption of Human Intensive Research
Solution
Through the AI research assistant, the issues can be understood and taken care of quickly by responding to trading questions that a merchant or speculator has about the financial markets.
Their token will take along and compensate monetary examiners for their informational indexes of the request, data endorsement, precision checking, and proposals. The monetary analysts can contribute in these ways to help prepare their hardware learning Research Assistant and be compensated in like way.
Traderiser on the blockchain network
The blockchain records are the records that will be used to affirm both the financial investigators and substance makers on the TradeRiser network.
The Ethereum system will empower the making of distributed applications in light of smart contracts. This enables engineers to make enforceable connections.
Literally, the blockchain network would be used for;
- Storing Information
- A quality amount of research
- Slashing cost
The Natural Language handling convention sets the programmed or self-loaded preparing stage to address the financial information questions while likewise sorting out and grouping the stage's news occasional information.
watch this video below for more explanation...
Features
- There is an Economic calendar
- There is an Earnings calendar
- News and events information availability
- Analysts commentary
- ETC
Team
Below are the amazing team members that has made this project a great success.
- Dennis Owusu-Ansah (CEO & Founder)
- Sean O'Brien (Business Development Manager)
- Karianne Bakken (Social Media Manager)
- Daniel Jiang (Head of Blockchain Technologies)
- Poly Apraku (Chief Technology Officer & Co-Founder)
- Sunil Kumar (Full Stack Developer)
- Rocky Asante (Chief Engineer & Co-Founder)
- Sukrit Wongariyakavee (Community Manager and Quant)
- Leigh Laguisma (Senior UX Designer)
Advisors
- Luca Zaccagnino (CFA, Investor, Former Business Consultant at RBS Bank)
- Jude Addo (Director of Private Banking at Standard Chartered Bank, Former Analyst at JP Morgan)
- Professor Tatiana Kalganova (READER IN INTELLIGENT SYSTEMS AT BRUNEL UNIVERSITY)
- Thomas Wicka (Managing Director at Llyods Banking Group)
- Kirill Klinberg (ASSOCIATE AT JP MORGAN)
- David Sheppard (FORMER COMMODITIES TRADER AT MORGAN STANLEY)
- Thomas Howell (GROWTH STRATEGY AT GOOGLE)
Roadmap
Token Details
TradeRiser additionally have their token called XTI coin. Research purchasers should hold the XTI token to gain the highlights of the research commercial center and network release. Moreover, XTI token holders will have more prominent access as well.
| Token | XTI |
|---|---|
| Price | 1 XTI = 0.1 USD |
| Platform | Ethereum |
| Acceptied | BTC, ETH |
| Hard cap | 23M USD |
| Country | UK |
Benefits of Holding XTI
- An access to TradeRiser and research marketplace.
- Opportunity to become a financial analyst.
- Opportunity to become a content maker.
In Conclusion
The aim of this project is to have the capacity to change an intense completely fledged AI research assistant which will have the capacity to go with each side of the trading sphere.
So it won't be out of place to make an investment with them.
Connect With Traderiser
Website
Whitepaper
Twitter
Facebook
Telegram
Medium
Youtube
Bitcointalk
| Author |  |
|---|---|
| Bitcointalk Username | Cosmicart |
| Bitcointalk Link | https://bitcointalk.org/index.php?action=profile;u=1633177 |
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