Hello everyone, in this new post I would like to introduce about Traderiser project, and for more details let's go to the following discussion:
TradeRiser is an intelligent artificial Research Assistant, who can answer simple and complex trading questions. To train artificial intelligence we will utilize blockchain to build incentive systems, which will be supported and fed by data from a large network of analysts and quantitative researchers. Token-based economies called XTI will be introduced, to provide incentives to researchers, for their data and contributions to the platform.
After this second economy will be created, around the research market, where developers of quant models and content manufacturers will be able to reach consumers within the ecosystem. This community participation will help meet the purpose of democratizing and simplifying the analytics of financial 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.
Why Blockchain?
The blockchain ledger is a publicly-verifiable record that can be used to confirm that both the financial analysts and content producers on our system have been compensated for their contributions. Research consumers looking for premium reports that is in the Research Marketplace section will also have the confidence that payments have gone towards the content producer for the selected reports, with a dependable system-of-record always available as an accounting of their usage
Financial analysts are like freelancers or contractors, the blockchain allows TradeRiser to create smart contracts with the financial analysts for various pieces of work. Our commercial transactions and agreements will be executed automatically, it will enforce the obligations that the financial analysts have in a contract. It provides an automated collaborative approach for data gathering using a large diverse pool of financial analysts. The smart contract allows for the different stages of work carried out by Γ§to be rewarded.
Costs Cutting
In bid to bring as many financial analysts and onto the ecosystem, we want to reduce the friction associated with transferring capital between parties. Friction such as clearing costs and counterparty risks, will be eliminated by using our XTI mechanism on the blockchain.
Reaching Critical Mass
One of the biggest challenges of TradeRiser is getting our Research Assistant model to reach critical mass. In other words getting it to a place, in which it can answer the majority of trading questions it’s users will have. The system needs to be trained on a large universe of question, events and market data.
Phase one addresses the way to acquire the data set of questions. This will be done by TradeRiser issuing the XTI tokens as compensation for the ongoing contributions to building the knowledge base, from which the machine learning will be done from. Once critical mass has been reached, executing phase two in attracting research consumers onto the platform will be easy. With both the research consumers and content producers now fully on the ecosystem, the research consumers will now be able to reward the content producers for their premium content and voting. This ongoing cycle will create a chain effect, thus attracting more contributors to the platform.
Platform 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.
Current Platform: Market Fit
TradeRiser has built an alpha/private beta version of the Research Assistant, this can be accessed on request or signing up at www.traderiser.com. The alpha/private beta version focuses on forex, commodities and indices, and will allow users to ask questions surrounding the economic calendar events, technical analysis, correlation and performance and more. This version has been built predominantly for demonstration purposes and data capturing.
Our intention is to transform this into powerful fully fledged Research Assistant that will accompany all corners of the trading and investing space. So far it has been seen by major investment banks and technology vendors, and has received a lot of positive feedback
SPEED
Find investment and trade opportunities quickly
QUESTION
Have a question, just ask. TradeRiser handles natural language inquiries
STATISTICS
Use statistics to create and test optimal trading strategies without relying on software engineers and quants
NEWS
Intelligently analyzes news data and world events and their effects on cryptocurrency and traditional assets
ECOSYSTEM
Utilize blockchain to create a decentralized ecosystem of financial analysts
NOTICE
Get a signal and give a trade mark
● 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
2014 to 2015
TradeRiser is founded
2016 Q1 to 2016 Q3
Private Beta/Alpha test with traders and asset managers
2017 Q1
Participated in the Accenture Fintech Innovation Lab London
2017 Q2 to 2017 Q3
Platform UI redesign and functionality improvement
2018 Q3
TradeRiser ICO
2018 Q3 - 2018 Q4 (June - Dec)
Growing The Team and Market Data Provider Partnerships
2018 Q4 (Oct - Dec)
Launch training portal
2018 Q4 (Oct - Dec)
Launch Community Edition of TradeRiser
2019 Q2 (Apr - June)
Hedge Fund and Financial Institution Partnerships
2019 Q4 and Beyond
Launch Research Marketplace and Enterprise Edition
Team
Advisor
Website: https://www.traderiser.com
Whitepaper: https://www.traderiser.com/sites/default/files/TradeRiser_WhitePaper.pdf
LightPaper : https://www.traderiser.com/sites/default/files/TradeRiser_LightPaper.pdf
Twitter: https://twitter.com/TradeRiser
Facebook :https://www.facebook.com/TradeRiser-157017521786333/
Telegram Group: https://t.me/traderiser
Bitcointalk ANN: https://bitcointalk.org/index.php?topic=3835944.0
AUTHOR :
Bitcointalk username : Driean
Fropil link : https://bitcointalk.org/index.php?action=profile;u=545651
Wallet eth : 0x0872bf5Fb779e726D5438ed144B304322117b697
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