DataTrading promises to create a new era of trade forecasting using artificial intelligence. Find out how it works today in our review.
What is DataTrading?
DataTrading, found online at Data-Trading.com, is an artificial intelligence-based platform that analyzes and forecasts stock prices and cryptocurrency movements. The platform has open development modules accessible to any users within the community.
The DataTrading ICO begins with a pre-sale on November 20.
The company claims to already have a minimum viable product (MVP) that provides analytical and forecasting tools for stock markets and cryptocurrency markets.
How Does DataTrading Work?
The overall goal of DataTrading is to provide analytical and forecasting tools for stock trading and crypto exchanges. All of this information will be based on artificial intelligence systems. DataTrading will use machine learning and neural networks to provide this information – and they’ll do it at a lower cost than other providers on the market today.
“We want to offer traders a ready-made toolkit that will help them trade on different stock exchanges and to receive the income, which is higher than the market level,” explains the DataTrading whitepaper.
Using the platform, “even a novice trader” will be able to generate strong profits.
Some of the key services offered by DataTrading’s analytics platform will include:
- Screening of shares, digital tokens, and crypto assets
- Trade advisor
- Scoring for IPOs and ICOs
- The construction of trading strategies with the ability to connect and train neural networks (this will be available to anyone in the community in exchange for DTT tokens)
- Implementation of self-learning neural networks
- External modules that can be integrated with broker platforms
- Blockchain-based infrastructure for maximum transparency
A marketplace of trained machine learning modules for use in market screeners, trading advisors, scoring and forecasting models, etc.
With DataTrading, users will pay a subscription fee to access this data. They’ll also pay a one-time fee to use the machine learning builder tool. All fees are paid in DataTrading Tokens, or DTT, which will be the inner system currency used to pay for all services on the system, or to reward developers.
What Problems Does DataTrading Seek to Solve?
DataTrading seeks to solve a central problem in the world of trading: AI has advanced to a point where it’s more powerful than ever before, and yet most traders don’t have access to effective AI trading tools.
“The problem is that in order to use AI effectively there is a need to study a large volume of mathematical apparatus,” explains the DataTrading whitepaper. Companies must collect, purchase, and process an enormous amount of data, then create trading strategies based on that data. “All of these factors significantly complicate the access of ordinary traders for the use of artificial intelligence when trading on exchanges.”
In more straightforward terms, DataTrading sees a central problem in today’s trading industry: big trading companies use their resources to invest in AI-based trading engines, while individual investors can’t compete. DataTrading wants to help anyone compete.
DataTrading will implement the following features into its platform:
Technical Indicators: Technical indicators are traditional mathematical tools for assessing and forecasting trends in the behavior of the price of financial instruments. They’re based on things like price, the time of transactions, trading volume, and hundreds of other indicators.
Machine Learning: Machine learning involves the use of data analysis algorithms. DataTrading tweaks and builds these machine learning algorithms to make evidence-based predictions in stock markets and cryptocurrency markets.
Artificial Neural Networks: Artificial neural networks are a type of machine learning that can be used for in-depth analysis of trading indicators.
Data Mining and Deep Learning: Data mining is used to extract “hidden and nontrivial knowledge” from markets in large amounts, allowing for the creation of more advanced algorithms.
Fundamental Analysis: DataTrading will analyze stocks and cryptocurrencies on a fundamental level, which includes an analysis of a company’s internal value, stock, currency, derivative, or product.
News Analysis: News directly or indirectly affects the price of stocks and cryptocurrencies.
Order Book: All orders for the purchase and sale of an investment instrument or commodity at a certain point in time go to the order book. DataTrading evaluates the supply and demand for a particular financial instrument by analyzing order book information.
DataTrading Products and Services
DataTrading aims to offer all of the following products and services:
Stock and Crypto Asset Screening: This will screen and analyze more than 45,000 company shares traded on global stock markets, along with hundreds of cryptocurrencies.
Trading Advisor: The trading advisor is one of the key components of the DataTrading system. It will help traders make intelligent, fact-based trades based on the predicted future price of an asset or stock.
IPO and ICO Scoring: DataTrading will score initial coin offerings (ICOs) and initial product offerings (IPOs) based on various criteria.
Open Constructor of Machine Learning Models: Anyone can use the DataTrading open constructor to build their own machine learning models. You’ll need to pay a fee in DataTrading Tokens (DTT) to use the constructor.
Who’s Behind DataTrading?
DataTrading is being developed by a team called Big Data Trading Limited, which was registered as a legal entity in Hong Kong on January 23, 2017.
The team first started working on artificial intelligence and neural networks back in 2012, then started specializing in cryptocurrencies in 2014.
Key members of the team include Anton Vokrug (CEO) and Alexander Gandzha (CTO). Prior to launching DataTrading, Vokrug and Gandzha co-founded a company called DataHolding. Although registered in Hong Kong, DataTrading lists a head office in Kiev, Ukraine, along with an additional address in Shenzhen, China (which is part of the greater Hong Kong area).
The DataTrading ICO
The crowdsale will take place in three stages, including:
- Pre-Sale: November 20 to November 30, 2017
- Token Sale Round A: December 18, 2017 to January 8, 2018
- Token Sale Round B: January 2, 2018 to February 22, 2018
Each token will be priced at $0.10 USD during the pre-sale and ICO, with a 30% bonus available for all pre-sale participants.
80% of the total supply of tokens will be distributed during the token sale (288 million tokens). Of the remaining total supply, 10% is going towards a fund for platform development, 9% for the team and advisors, and 1% for the bounty program.
Data Trading Conclusion
DataTrading aims to deliver artificial intelligence and machine learning into the hands of individual investors. Using DataTrading, you can access big data analysis tools for the world’s stock markets and cryptocurrencies. The goal is to create algorithms that rival the ones used by top trading firms worldwide.
The ICO for DataTrading Tokens (DTT) is underway from November 20 to February 22 in three stages. You can learn more about DataTrading online today at Data-Trading.com.