Argos

Blockchain Financial Data platform provides valuable investment information based on data analysis of Algorithmic Trading Machine, which processes accumulated transaction data and informal data. Virtual Fund and Financial Data Analysis service provide high quality investment information to retail investors. The services lay foundation for a highly creditable information sharing system based on a decentralized investor community. The acquired user data will fuel Crowd Prediction and improve Argos engine.

Challenges

In current crypto-market, it is difficult to obtain highly creditable prediction indicators based on data analysis due to highly volatile market situation. The value of crypto-assets is vulnerable to market rumors, price manipulation, marketing and sales campaigns, which encourages unhealthy practices.

Challenge 1 :

Lack of data-based investment services

Challenge 2 :

Lack of accurate investment information services

Challenges 3 :

Significantly influenced by rumors, manipulations and marketing

Ecosystem

Blockchain Financial Data platform provides valuable investment information based on data analysis of Algorithmic Trading Machine, which processes accumulated transaction data and informal data. Virtual Fund and Financial Data Analysis service provide high quality investment information to retail investors. The services lay foundation for a highly creditable information sharing system based on a decentralized investor community. The acquired user data will fuel Crowd Prediction and improve Argos engine.

Mission

Argos provides Tools and Data for cryptocurrency investing for personals and professional.

– Analyze: Argos A.I. Trading analytics Engine
– Provide: Comprehensive Investment tools (market price, chart) and information (news, social media)
– Validate: Community vote and validation
– Share: Users share their trading skills, market insight, Ask and answer questions.
– Reward: Users are rewarded with Argos Point for their contribution to the community.
– Invest: ICO, IEO Participation, Argos Virtual Fund
– Expand: Argos will expand its services into other Investment fields including F/X, Stock, etc.

SERVICES

Algorithmic Trading Machine

- Prediction indicators derived from combining various Prediction Models through Ensemble assembly method
- Automatic trading based on prediction indicators
- Prediction Model Engine is comprised of Time Series Data Analysis based on Deep Learning LSTM Cell method, ARIMA, Gaussian NB etc.

Financial Data Analysis

- Provide event analysis on technical data, index data, and market monitoring, such as price information and transaction volume information
- Automatically collect data from platform and provide them to premium users
- Visualize real-time analysis metrics essential for crypto-asset trading
- All the metrics will be provided real-time and used to set up systematic trading timing and strategy

DAIC (Distributed Autonomous Investor Community)

- Fundamental analysis for investment products and information sharing
- Investment contents sharing platform: Argos Trader will share its profits with outstanding Argos users with high voter turnout, accurate forecasts, and investment content.
- User ranking system: Based on contribution level, predictability, and community history, users with high investment knowledge and techniques will be ranked. It will also block users with fraudulent information and advertisements.
- Allocate incentive based on community contribution, to foster establishment of a creditable decentralized community of investors

CROWD PREDICTION

- Crowd prediction indicator system operated by the Argos users
- Users vote on predicted price using ARGOS token and compensated when they succeed to provide the most accurate price predictions.
- Improve the precision of Prediction Model through accumulation of user data
- Crowd prediction indicator will be published on financial data analysis

VIRTUAL FUND

- Virtual Fund management service
- Creditable investors or investment groups can create Virtual Funds by providing proofs of investment portfolio, and the users can purchase respective portfolio using ARGOS token
- Yield rates of Virtual Funds will be ranked. Virtual funds will be managed either by AI such as Algorithmic Trading Machine or asset management companies.

Token Utility

ARGOS Token can be used for following:

Demand

1) Algorithmic Trading Machine: To use Argos ATM, the user must stake certain amount of ARGOS token
2) Premium Financial Data Analysis Service:
For premium data service, the user has to pay certain amount of ARGOS.
3) Virtual Fund: To have access to Virtual Fund portfolio and apply the information to trading, the user needs to stake certain amount of ARGOS and also pay the information provider.
4) Crowd Prediction System: To vote for the Price Prediction results, the user needs to pay ARGOS. (Argos Coin will be used in the form of Argos Point within the Argos Trader Platform)

Supply

1) Crowd Prediction: Compensate the users participated in price prediction with token incentives
2) Distributed Autonomous Investor Community: Compensate community contributors with token incentives

Roadmap

2017. 12

Argos AI algorithm development complete

2018. 02

Argos ATM (Algorithmic Trading Machine) development complete

2018. 04

ARGOS ATM Comprehensive testing complete

2018. 06

ARGOS ATM Beta version launch

2018. 08

Private Sales and Funding complete

2018. 11

Whitepaper and Website open to public

2018. 4Q

Major Korean exchange listing

2019 1Q

Additional listing of Major domestic and overseas exchanges

2019 1Q

Argos Trade Messenger Service Open

2019 1Q

Argos Trade website launch and Argos Analysis Service launch

2019 2Q

Community service including Crowd Prediction launch

2019 2Q

Argos Trading & Education Center Open (Expand starting from the domestic center)

2019 3Q

Argos Premium service launch

2019 4Q

Argos Virtual Fund service launch and funding open

Advisor

JAGDISH PANDYA

Advisor

Current Career

– Chariman of BlockOn Group

Bio

– Chairman of Singapore based BlockOn Group. Founded technology and event based companies in South East Asia, each having multi-million dollar as starting revenue growing at an exponential rate. Envisioned to take the companies to a billion dollar mark in next 5 years. Currently on Early Stage Investment/consulting / advisory role helping Blockchain projects to raise funds through ICO, Current Portfolio includes TUNE TOKEN, Gcox, airwallet, Alluma, Quickx, Crebaco,

Aron
J.K. Min

Advisor

Education

– BA in Scandinavian Studies and Management at University College London

Former Career

– VP of Alpha Investment
– Partners Korea
– Current Career
– Senior General Manager
– Global Investment Banking Department
– Hana Financial Investment

Bio

Aaron has 13 years of expertise and experience in investing and fund management across U.S., Europe, Australia and Asia. He had diverse range of roles including Acquisition, Asset Management and Investor Relations.

Michael
Myung Woo Yoo

Advisor

Education

– BA in Economics at Royal Holloway University

Former Career

– Senior Associate
– Cushman-Wakefield Korea
– CEO, FitIn
– CEO, Buta Donkatsu

Current Career

– Chairman, Urban Property

Bio

– Michael has over 15 years of expertise in commercial real estate development, leasing and marketing.

David
Ko

Advisor

Education

– BS in business and Technology Management at Kaist

Former Career

– Associate KORAMCO RELTs
RA, Bain&Company

Current Career

– Senior Associate, invesco Real Estate Korea

Bio

– David Ko is an expert in REITs and real estate investments in Asia Pacific regions

Billy
Park

Advisor

Education

– BA in Economics at Dongkuk Uni

Former Career

– Co-Founder, Pikicast
– Team Leader, Naver Search & Clova Team

Bio

– Billy is a former entrepreneur and an expert in IT investments. He had successfully founded a leading contents platform in Korea and now heads IT investments in KB

Team

Junghee
Ko

Co-Founder, Chairman

Education

– MBA in Finance at U of Oregon
BA in Business Administration in Yonsei Uni

Former Career

– Executive VP, IBK Securities
Deputy Director Capital Markets
– Supervision Division in Korean Financial Supervisory Service

Bio

– Junghee has over 25 years of expertise in financial market supervision and securities. He has served as Deputy Director in Korean FSS and Executive VP of Strategy in IBK Securities.

Suk Jung
Lee

Co-Founder, CEO

Education

– BA in Accounting at Kyunghee Univ.

Former Career

– Intellian B.V, Sales Manager
– KNPC (Kuwait National Petroleum Company), Associate

Bio

– Jay has over 15 years of experience in International Sales in Technology-intensive business including Oil refining technology, Satellite Communication. He is a Founder and CEO of SJADCOMM, B2B Advertising Company based in South Korea.

Hojin Seo

CTO

Education

– MS, KAIST, Information & Knowledge Technology

Former Career

– Principal at Shinhan Bank, Shinhan financial group.

Bio

– Mr. Seo did various technology oriented project within Shinhan bank, which is one of the biggest bank in Korea.

Ethan
Chae

Co-Founder, CSO

Education

– BA in Economics at U of Chicago

Former Career

– CEO, Veneto (DSQUARED2 Under/Beachwear Korea)
– Founding Member, Mango Plate

Current Career

– CEO, MCT Exchange / ADEChain

Bio

– Begun his first startup during high school, Ethan has over 10 years of experience in entrepreneurship. He has been co-founder of only crypto-exchange in Cambodia.

Partner