Kamis, 26 Juli 2018

TRADERISER: Decentralised Trading and Research platform

By -. Juli 26, 2018 #Bitcoin #ICO

Society has advanced more in the past several decades than it has in a millennium. Despite all our technological and societal advances, we struggle to overcome some of the same fundamental challenges -global poverty, disease, and the distribution of wealth and power, to name just a few. Humanity has a long way to go. Everyday each one of us is trader consume much of news, chat and other information about the capital market we do this in order to understand what we are investing in, With so much data we can fail to find these business opportunities and the task of researching is very time consuming. The solution to this is Traderiser, instead of disturbing yourself just ask traderiser. With traderiser you can get answer to both simple,complex and news based trading questions. Lets look at the video below...

TRADERISER
TradeRiser is a Research Assistant platform that can answer both simple and news based trading questions. Users can type a trading question into search box and TradeRiser will go to work to compute the answer.

PROBLEMS
Motivation - Simplifying financial data analytics
The growth of the world wide web led to innovations in search engine technology, this made the web more accessible and ubiquitous. However financial data analytics, has not enjoyed the same the level of simplicity and accessibility seen in the world wide web. The growth of big data cannot be stopped, accessibility and ubiquity presents a huge opportunity, to systems that seek to democratize financial data analytics.

Disrupting Human Intensive Research
Research is normally time consuming, inefficient, prone to information overload and requires a lot of manpower. Financial professionals worldwide spend a lot of time and money in research trying to answer these trading questions.

Fewer Ideas Are Tested
Current platforms rely on a great degree of technical know how to test trading ideas, and due to the barriers to entry fewer trading ideas are tested. Every day a portfolio manager has an investment idea and has to go to a quant to build the model.

Time-Consuming
Quantitative research can be an incredibly time consuming process, as it requires multiple steps in order to be completed, sometimes spanning across several days and hours. Other bottlenecks include the computational process due to the amount of data being analyzed.

Inefficiency
The research process requires the data gathering, data cleaning and data analyses, and the final step being report creation. This is an incredibly an inefficient process.

Information Overload
With data being the new “oil” or a valuable resource, the job of analysts is all the more difficult in trying to process data. New avenues of data are constantly creeping up which can potentially be exploited in financial research, especially unstructured data.

News and Events - Unstructured Data
It is well known that the news and world events have impact on the financial markets, it is for this reason that tools such as the economic and earnings report calendars were created. These tools allow traders to keep up and monitor impactful events, however there is a whole basket of world events that have not be organised to be included in a calendar, that needs to be structured. As it stands traders struggle to keep up or hedge against data from sources such as twitter, cryptocurrency news, weather data and even satellite data.

SOLUTION
TradeRiser solves these problems through its Research Assistant that can immediately answer trading questions that a trader or investor has about the financial markets. TradeRiser’s token mechanism will keep track and compensate financial analysts for their datasets of questions, data validation, accuracy checking, suggestions and example
report creation. The financial analysts can contribute in these ways to help train our machine learning Research Assistant, and be compensated accordingly. XTI is the underlying mechanism used to facilitate this ecosystem, and provides XTI holders with direct participation in advancing our “single source of truth” questioning and answering system

FEATURES
Community Edition :- This is comprised of many features that will be available to the community. They are as follows, the Research Assistant powered by the community data feed, ICO ratings, market condition analysis, ICO due diligence, investor portfolio analysis, direct trading, web and mobile app.
Research Marketplace :- Accessible to Token holders
Enterprise Edition :- This standalone version is accessible to financial institutions,
hedge funds or corporations. This includes our API.

ECOSYSTEM

TOKEN DISTRIBUTION

50% Crowdsale
15% Distributed to Community for Ecosystem Incentivization
25% Company founders, advisors and employees
5% Bounty and Referrals
5% Strategic Partnerships and Future Development

FUND DISTRIBUTION

60% Product Development
20% Marketing, PR and Sales
8% Partnership
4% International Expansion
5% General Admin and Operations
3% Legal

Target on crowdsale: $23,000,000
Total in existence: 500,000,000 XTI
XTI Token type: ERC20
Purchase methods accepted: BTC and ETH
Based on Ethereum blockchain and the Ethereum smart contract
Employee allocation of XTI will have a vesting period of 24 months, with a 6 month cliff.
Allocation will be proportional to the tenure of each employee by the date of token sale.
Unsold tokens will be burnt.

PRE – ICO
ROUND VALUE
1 XTI = $0.07

ICO
ROUND VALUE
1 XTI = $0.10
XTI Supply
XTI will have a supply with nominal value USD 23,000,000.
XTI Refunds
In certain cases, XTI may be refunded to platform participants. For example, use cases may arise that will necessitate a refund, but typically will follow a minimum period of 3 weeks before this takes place.

ROADMAP