Data Trading

Data Trading

Created using Figma
Created using Figma
DataTrading is a platform based on artificial intelligence for analytics and forecasting of exchange markets with open development modules, accessible to each user of the community
Risk: Very High
Feb 1, 2018
Feb 22, 2018
100% completed
$6 500 000
hard cap
52% hard cap completed
Cap 5 000 000.00 USD
Hard cap 12 500 000.00 USD
  • 1 DTT
    0.1 USD
Dec 18, 2017
Feb 22, 2018
100% completed
Raised funds - no Data
Nov 20, 2017
Nov 30, 2017
100% completed
Raised funds - no Data
Hard cap 1 000 000.00 USD
  • 1 DTT
    0.1 USD
Token Details
Accepted Currencies
Company Details
Registered Country
Additional Details
Business services

About Data Trading

DataTrading is an innovative project in the world of trading and consulting, which provides a set of analytical and forecasting tools for trading in stock and crypto exchange markets and is completely based on artificial intelligence.

Big Data Trading Limited was registered as a legal entity on January 23, 2017 with a representative office in Hong Kong. With the support of a professional team and investors, DataTrading already has a developed MVP that shows results, which exceed many trading strategies in terms of profitability.

There are many analytical and trading strategy services in the modern world. The fundamental difference between DataTrading and all other companies is that we use machine learning and neural networks to solve the tasks. These revolutionary instruments will also be available to traders and the community so that they can develop their own models for forecasting markets.

Trained models will be able to make a profit for each client of Data Trading: they can be used for trading as well as for selling to other market participants. The machine learning constructor will be easy to develop, so that every client and even those without specialist education can use it.

DataTrading service develops its own constructor of trading strategies and will also implement a full analytical tool for stock and cryptocurrency markets on neural networks, namely:

  • Screener of shares / crypto assets;
  • Trade advisor;
  • Scoring of ICOs / IPOs;
  • Constructor of trading strategies with the ability to connect and train neural networks
    available to the community; implementation of self-learning neural networks.

Data Trading Roadmap

  • 2012

  • getting Started with Artificial Intelligence and Neural Networks
  • 2014

  • the beginning of work with the technology of blockchain and cryptocurrencies
  • Q1 2015

  • development of neural networks for the analysis of the stock market and the market of CO2 quotas
  • Q1 2016

  • implementation of the first version of the DataTrading system in the form of a plug-in for Bloomberg Terminal
  • Read More
  • Q2 2016

  • the beginning of funds management based on the forecasts of the DataTrading system in the New York Stock Exchange
  • Q3 2016

  • development of the concept of a trade advisor, a generator of trading strategies, stocks and cryptocurrencies screener on neural networks with self-training
  • Q1 2017

  • registered legal entity Big Data Trading Limited, successful use of the DataTrading system to manage funds on the New York Stock Exchange, start of managing funds in the cryptocurrency markets
  • Q2 2017

  • expansion of the team and preparations for the token sale
  • November 2017

  • December 2017

  • TOKEN SALE, Round A
  • February 2018

  • TOKEN SALE, Round B
  • Q1 2018

  • expansion of the team of developers, acceleration of the development process. Development of a Stock screener and crypto assets on the basis of neural networks
  • Q2 2018

  • сreation of a trading advisor, forecasting of stock quotations/ crypto assets, development of analytical tools for fundamental and news analysis of the stock and crypto market on the module of artificial intelligence
  • Q2 2018

  • сreation of a trading advisor, forecasting of stock quotations/ crypto assets, development of analytical tools for fundamental and news analysis of the stock and crypto market on the module of artificial intelligence
  • Q3 2018

  • development of an open constructor of trading strategies with the ability to connect and train neural networks available to users of the system / community (with the possibility of further sale of trained models to other users for tokens)
  • Q4 2018

  • implementation of self-learning neural networks (in the future will be available to the community for making their own forecasts). Scoring ICO / tokensale by artificial intelligence. Start of active marketing promotion of the system
  • Q1 2019

  • DataTrading 1.0 release: developed analytics for stock and cryptocurrency markets based on machine learning and artificial intelligence. Integration of DataTrading 1.0 with the key brokerage platforms. Beginning of implementation of DataTrading 1.0 in the Neural networks ensemble system, preparation of infrastructure for working with Level2 data (work with data in the context of orders)
  • Q2 2019

  • active involvement of experts and professional market participants, marketing, further promotion of the system
  • Q3 2019

  • DataTrading 2.0 release: analytics based on a neural network ensemble. Getting started with Level2 data
  • Q1 2020

  • DataTrading 3.0 release: analytics on neural networks based on Level2 data


1 428
30 Days Growth:

Data Trading Team

Verified 0%

Attention. There is a risk that unverified members are not actually members of the team

Anton Vokrug
Alexander Gandzha
Dmitry Tomchuk
Managing partner
Lena Khlevnaya
Business development
Julia Chaschina
Development of international relations partner
Eugene Potemskyi
Data scientist, investment analyst
Roman Sobko
Head of marketing
Li Yongjin
Lead Partner
Li YongGang
Lead Partner
5.0 14
ICO Profile Vision Activity Potential Product Team

Data Trading Reviews

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.

Read More
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