TRADERISER – Decentralized Trading and Research Platform

As the success and growth of blockchain-based cryptocurrency have proven, the future will witness a decentralized, efficient, and comprehensive global ecosystem. At this juncture, I would like to present TradeRiser, which is an artificially intelligent Research Assistant, that can answer simple and complex trading questions.

TradeRiser is an innovative fintech company, leveraging the blockchain and artificial intelligence to answer both simple and complex trading questions. To train the artificial intelligence we will be leveraging the blockchain to build an incentivization system, which will be supported and fed by data from a large network of quantitative analysts and researchers. A token based economy called XTI will be introduced, to incentivize 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 fulfill the objectives of democratization and simplify the analytics of financial data.

TradeRiser solves the problems of financial analytics 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.

TradeRiser’s Solution

With the rise of artificial intelligence across the board, TradeRiser is looking to bring financial data analytics to the masses through natural language questioning and answering. This is achieved through the following means:

The ‘Research Assistant’ is an AI based questioning and answering system. It combines machine-learning algorithms to resolve natural language questions, furthermore it conducts analytics on the dataset from which the question is based on. The data and level of analytics will be significantly improved with the more data it is trained on. It is for this reason that the financial analysts will be taking part in an ecosystem that will exist to improve and support the technology.

When the Research Assistant reaches maturity it will be like Siri or Alexa but one that focuses on financial and investment trading based queries.

The ‘Research Marketplace’: a place where financial analysts and content producers can create articles and reports. They will be able to do so using data and queries from the Research Assistant which they can feature within their articles. These articles can be sold and bought within the Research Marketplace.

Both system will be supported and maintained using a token-based incentive economy called XTI.

FEATURES OF TRADERISER

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.

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.

The 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

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 çto 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.

WHY CHOOSE TRADERISER

Maximum speed

Each client of the platform will be able to find the best trading opportunities, get answers to their questions, all information is based on professional solutions;

Opportunity for questions

If you want to get information about the cryptocurrency and trading segment, just describe your situation on the platform, the multilingual interface will allow you to get a quick and convenient answer;

Statistics

Use statistics to create and test optimal trading strategies without relying on software developers and other intermediaries. You will be able to use the statistical calculations of experienced traders;

Be aware of all the events

Get only the latest news. Intelligent analysis of news and world events data and their impact on cryptocurrencies and traditional assets will allow you to get all the necessary information;

Warning system

If you are just starting your way in the world of trading, the system will constantly notify you about the emergence of new information, statistics and other important data.