Archives for January 8, 2018

VEGA – Predicting Futures Prices And Future Markets

VEGA – Predicting Futures Prices And Future Markets


Vega is an automated business bionetwork where users can allow AI to improve the practice of various machine learning methods to send automated trading to many exchanges, which will be applicable in order to predict future futures and market prices. There the Ecosystem conducts social media analysis because of the irrefutable fact that a collection of data collection captures social media and press releases, it provides A Waya for index and market analysis estimates.

Next-Gen Prediction and Analysis

Vega uses a decentralized model in which contributors can choose to pool their resources with each other to increase their income and reduce their losses. Users can apply their own configuration to build different tolerance levels for risk vs. payback and collect useful real-time market data provided by AI with recommendations.
Over time this trained in the neural network to the learning device allows prediction and probability not just real-time reactions. Users will have the option to allow AI to make smart decisions and automatically place offers for coffee lovers. The capacity of P2P software uses the latest system of blocks and systems so that the user knows where each trade is positioned and tracks ongoing collateral transactions. All effort, decision making, and insensitive data will be guaranteed by blockchain.
The machine uses a community-based system consisting of many reliable sources of information with historical and current data captured by the Vega AI program learning tool. A lot of data will be captured consistently from various systems over the web.
AI robotic and configurable AI Veg gives lovers the use of something once available and then the main player is marketed.

Vega AI

Vega AI, Lyra’s network center, is with the ability of sophisticated natural vocabulary processing and reactive human interaction, enabling a sentimental research strategy. Users can connect to AI and configure investment options. The UI is instinctive and allows integration with public media channels.
Using the Q-learning model, the algorithms and special factors in weighted decision making allow for high volatility recognition to reduce investment hazards. Over time, through learning, AI can act in response to clear and concise information that increases from positive support, thus progressively lowering the probability of error.
The info gathering cluster continually directs the web API calling service to collect data, demands functions from Vega AI and sends and stores open public data on the table with a quick index on the IPFS blocking network.

Token Vega AI

Token Vega allows the holder to have an impact and interest in the network to take advantage of all future features and add for development. This token will support other intelligent agreement systems in the future.
Details of ICO Vega AIO
System – Etereum (ERC20)
Crowdsale – November 24, 2017 to January 7, 2018
Hard cover – 30,000,000 VEGA
Price per token – 0.001 ETH
Vega AI Alternatives Verdict
Cryptocurrency is rapidly turning into a wild western world. Everyone appreciates that the market is a bubble and in that scenario, ownership becomes a hot potato. When market segments are so irrational and daytime bot bots happen, informed individual decisions are of little use.
Diversified portfolios could be the choice of many holiday resort traders and Vega is a system that will help take care of the portfolio with little care. How effective it is to do it is still to be considered.


Brian Carter – CEO and Founder
Ryan Shraq – Senior Builder and Knowledge Knowledge Expert
Amanda Taylor – Business Management and
New Network Team Coordinator – Provides Placement to Operations
For more information:

TraDove – World’s First B2B Coin

TraDove – World’s First B2B Coin

Website | Whitepaper | Twitter | Facebook | Reddit | ANN Thread | Telegram
Significant changes in the commercial world have occurred in the last twenty years. The explosive growth of internet accompanied by the creation of social networking has made information everywhere. Smartphones and mobile devices put the world in the palm of our hands. Facebook and LinkedIn allow instantaneous instantaneous and inter-individual links on the opposite side of the globe.But B2B is left behind. In this space, information is in the Balkans. Potential business partners in the same city may not know each other. Less transparency. Even after identifying potential business partners, the “quality of business” of potential partners is often difficult to assess. In the consumer space, peer opinions are easily available using Yelp or Google Review. This is not the case in B2B space, where targeted marketing is much more difficult.

Ultimately, trust is a problem. How can we determine whether a company or a company executive that we have never run a business trustworthy? How can we ensure that we will be paid for the goods or services we provide?

Google is not suitable for this because most of Google’s information is consumer-oriented. Google information is less B2B relevant. Without a substantial modification of his “Friend Circles” Facebook is not compatible with B2B. To adapt successfully with B2B, LinkedIn products have to be redesigned substantially.

Introducing TraDove

TraDove, Inc. (“TraDove”) was established with a single mission, to meet the basic needs of every company in order to buy and sell better by creating a business network that connects buyers, sellers, products, services and corporate companies. We will be able to allow any company to market and advertise other companies through their internet products and services in a targeted and precise manner.

TraDove has developed a proprietary process to authenticate users on the general network. Much more difficult to forge a profile. This is a social network tailored for corporate purchases and sales. It connects business people, products / services and companies seamlessly to share knowledge, experiences and opportunities in a much more relevant way.

TraDove Business Social Network

TraDove was born to solve this problem:

  1. How do you find business partners quickly and credibly?
  2. How do you ensure the quality of a potential business partner and the quality of the product / service you are going to buy?
  3. How do you market your B2B products / services to hidden demands in a targeted way?
  4. How do you make sure you get paid for what you give or get what you pay for?

TraDove Value Proposition

Business social networks connect buyers, sellers, and other companies to interconnect products / services and companies in a way that:

  1. Shorten the search cycle and identify potential business partners in a credible way
  2. Make B2B time and effort more transparent and concise (with reference, support, etc.)
  3. Is a company-based precision advertising company via the Internet
  4. Increase trust in B2B transactions and payments
The main purpose of TraDove’s B2B 2.0 is to ensure and maintain credibility, both on and off the network. There are several ways to achieve it. The basic authentication of potential network members is at the first level. TraDove has developed a proprietary process to ensure prospective new members efficiently. Once logged in, democratic rankings such as those deployed by LinkedIn or Yelp retain the members credibility level. This activity is very important. This is a device that helps maintain the quality perception of the TraDove network


TraDove will use Ethereum-based tokens, blockchain technologies, and advanced user authentication to solve fundamental trust issues in B2B and international commerce. Confirmed, checked and reviewed buyers and sellers will use smart contracts to trade through the global business-to-business platform, ensuring payment is successful.

Details Of Token Sales

Token Sales ScheduleFebruary 1, 2018
Purchase TokenEthereum, Bitcoin, Fiat
Price Token1 BBCoin = $ 0.16
Total Supply Token1.000.000.000 BBCoin

Project Road Map


MembersKent J Yan – Business, Finance, and General Management
Matt Ciantar – Sales, Marketing and Business Development
Jian Zheng – Blockchain Technology, AI, Product Development
Igor Gustincic – Sales and Business Development, Europe
George Cheng – Network, Security, Big Data and Cloud
Rick Roux – Web Marketing, User Acquisition
Jia Liu – Mobile Development
Albert Wang – User Experience and User Interface
Advisors & InvestorsRichard Rosenberg – Former Chairman and CEO of Bank of America
Phil Duff – Former CFO of Morgan Stanley
Gerhard Schulmeyer – Former CEO of Siemens, Inc.
Gary Cowger – Former Group VP of General Motors
Gordon Kaufman – Professor Emeritus, MIT Sloan School of Management
Dr. Anastassia Lauterbach – Former SVP, Deutsche Telekom
Mike Honda – Retired US Congressman
Mario Rosati – Name Partner, Wilson Sonsini Goodrich and Rosati
Xiongwen Lu – Dean of School of Management, Fudan University, China

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