TrakInvest -A Virtual Social Trading Platform

TrakInvest is a virtual social trading platform that helps to improve the quality of life in the economy. The platform currently offers 3 major advantages, which are:

1. Giving users the ability of sharing their investment expertise with other members of the network for a fee.

2. Provision of a crowdsourced sentiment, forecasting and prediction tools with the use of innovations in smart contracts, machine learning, NLP and artificial intelligence.

Ensuring a digital certification of programs in online trading.

For more information, users can access and explore the existing platform on www.trakinvest.com

TrakInvest is best set up to put this project into an action that has a record for three strong years in Asia and built up about 100,000+ usersthrough its collaboration and partnerships with universities, corporations and governments within the region. Several other features that will be introduced into the platform includes: i.) Introducing a virtual trading platform for cryptocurrencies ii.) A crowdsourced next generation sentiment tools for equities and cryptocurrencies. All these preparatory tools have been developed just by using a social trading data and behavior received within the last three strong years. The aim is mainly to be the power of the retail investor with all these tools so as to create a level playing field in which the information asymmetry has been removed.

Hence, with the introduction of TRAK Tokens by Q1 2018 to an existing user base, hence, provided with an ability of earning service fees in ETH in exchange for the provision of a real-time trading data and sentiments via TrakInvest'sweb and mobile platforms. On the platform at the application level, the token utilities will include:

Tokenized data ownership
2. Tokenized reputation system
3. Tokenized certifications.

However, the laying of solid foundations for the growth of the new business models in investment insights and financial transaction technologies rest on the shift from a centralized technical infrastructure to a distributed, ecosystem-enabling platform. With regards to this shift, the TrakInvest platform will have to utilize a blockchain technology to create a decentralized peer-to-peer ecosystem that orientates and incentivizes members of such a community. In general, the full establishment and continuity of the virtual socio-trading environment depends on the rewards, incentives and insight tools, which, in a risk-free manner, for performance, sharing investment insights and real-time trading data.

TrakInvest is making plans to increase the scalability of the current platform by balancing the blockchain technology while the security and transparency levels are being enhanced. It is backed by a powerful strong technology stack and in which the ecosystem has a strong technical footprint. It is also backed by a highly-experienced management team and an advisory board. The global advisory board is comprised of individuals and existing investors with strong global experience and exposure in technology, media, telecommunications, financial services and cryptocurrencies.

TrakInvest ICO Details

Token Name: TRAK

Website: www.trakinvest.com

Type of Offer: Initial Coin Offering (ICO)

Total Tokens: 155,294,118

Accepted Currencies: Ether (ETH)

ERC20 Token: Yes

Token Main Sale Price: 1ETH = 1093 TRAK / 1 TRAK Token = 0.000915 ETH

ICO Pre-Sale Dates: 8:00 AM; December 16th 2017 (SST) - 8:00 PM; January 19th 2018 (SST)

ICO Sale Dates: 8:00 AM; January 19th 2018 (SST) - 8:00 PM; February 3rd 3rd 2018 (SST)

Offering Structure: 66,000,000 tokens available

Pre-Sale

Tranch 1-11,000,000 tokens: 23.08% discount | 8 a.m. December 16th - 8 p.m. December 30th 2017.

Tranch 2-11,000,000 tokens: 15.25% discount | 8 p.m. December 30th 2017- 8 p.m. January 9th 2018.

Tranch 3-11,000,000 tokens: 8.42% discount | 8p. January 9th - 8 p.m. January 19th, 2018.

ICO

Tranch 4-11,000,000 tokens: 4.31% discount | Starts on 8 pm January 19th 2018.

Tranch 5-11, 000,000 tokens: 2.25% discount | Starts automatically after Tranch 4 ends.

Tranch 6-11,000,000 tokens: 1.09% discount | Starts automatically after Tranch 5 ends.

In the 100% Token allocation, different percentages are distributed to individuals such as; Partnerships and early adopters, Management Team, Board of Advisors, M & A Expansion and BuyBacks, Bounty, Referrals & Community Blog and Pre-Sale & ICO.

Thus, in the token allocation of $ 100,000,000, the percentage goes down:

Partnerships & early adopters: 5% = $ 5,000,000

Management Team: 23% = $ 23,000,000

Board of Advisors: 10% = $ 10,000,000

M & A Expansion and BuyBacks: 15% = $ 15,000,000

Bounty, Referrals & Community Blog: 5% = $ 5,000,000

Pre-Sale & ICO: 42% = $ 42,000,000.

NB: Discount in each tranch is available until the end of the day. Any of the coming will be considered.

TrakInvest AI Engine: Unlocking Market Insights from Heterogenous Social Data.

It is not news that the creation of the Internet and the World Wide Web has published in the Internet. The promise of dealing with measures of investor trust is based on these datasets and makes it possible to achieve.

TrakInvest AI Engine allows to overcome challenges such as; the scattering of numerous datasets across many different sources, the vast differences between data sources and at a very fast rate. This challenge is overcome by the creation of the TrakInvest Knowledge Graph (TKG) - which involves all heterogenous datasets of interest to be viewed in a curated and modified manner. The TrakInvest AI Engine has three key initiatives which includes;

1. TrakInvest Knowledge Graph (TKG)

2. Sentiment Engine

3. Continuous Learning.

In a schematic view, the TrakInvest Knowledge Graph is built by the engine in which all structured and unstructured datasets of interest. After this, the evaluation of crowd sentiments is done by the TKG such as investor sentiments over securities, companies etc. Lastly, using a continuous learning mechanism will help to estimate the predictive power of such sentiments against the actual market.

1. TrakInvest Knowledge Graph (TKG): Knowledge Graphs (KGs) are multi-relational graphs which consists of relationships between entities. It came as a result of having a very effective way of extracting and applying knowledge from large unstructured datasets. Some leading search engines such as Google, Wikipedia and Bing make use of such KGs to improve web search experience. The TKG construction engine scans continuously a set of new sites, social media feeds, online discussion forums etc.to build the TKG. The TKG obviously consists of characters such as investors, analysts, securities, institutions and cryptocurrencies. The following are sub problems: TrakInvest's AI Engine solves to build the TKG:

a. Predicate Scheme Induction

b. Instance Population

c. Overcoming Scarcity using Deep Reinforcement Learning

d. Source Credibility Estimation.

e. Natural Language KG Interference

2. Sentiment Engine: Sentiments are read by TrakInvests sentiment engine from several unstructured text data and such entities and relationships are aggregated over in the TKG. An example is when an analysis is based on sentiment engine. In this same manner, an estimation of how crowd sentences over a particular. Therefore, the TrakInvest Knowledge Graph in conjunction with sentiment over its various components helps in providing a holistic overview of such market conditions. Most importantly, it is very necessary to continuously update and expand this graph in order to change the world condition.

3. Continuous Learning: The TI-STOCK score, TI-ANALYST score and TI-TRADER score are known to supplement the TKG and sentiment analysis engine in which each of them provide a time sensitive quantitative metric where stocks, analysts and traders can be ranked . The continuous learning uses State-of-the-art Network Analysis, Deep Learning over Graphs, and Graph Embedding Techniques to estimate these scores. Computation and updating of these scores can be done with the aid of a continuous learning mechanism. The first step is to parameterize accurately the scores in which the updated parameters are correlated with the predictive power of the corresponding variable against real market signals. In summary, through this learning mechanism, it will also be able to learn about biases in a data-driven manner.

Tokenomics

TrakInvest Token ('TRAK' token) is a utility token which is used to perform quite a variety of activities on the platform. The TRAK token demand is based on the existing contracts with leading corporations and universities. As aforementioned, the utility tokens are Tokenized data ownership. ii.) Tokenized reputation system iii.) Tokenized certifications.