Sharpe Capital SHP
- Project TypeToken
- Platform Ethereum
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply130,000,000
- Primary SectorTrading & Investing
- JurisdictionHong Kong
|Q1 2018||First Ether Payment|
We will issue the first Ether payments to SHP token holders in January 2018, following the launch of our alpha platform on December 11, 2017.
|Q2 2018||Growing The Team|
We will establish our HQ in London and begin growing our team with expertise in software development, machine learning, marketing & business development.
|Q3 2018||Mobile App Launch|
After extensive user testing & consumer feedback, we will launch our mobile sentiment platform on the Ethereum mainnet.
|Q4 2018||Sentiment License Fees|
Sharpe will begin collecting license fees from both traditional and crypto funds for sentiment sourced from
|Q1 2019||SCD Issuance|
Subject to obtaining regulatory sign-off, we will issue Sharpe Crypto-Derivative tokens (SCD), which pay quarterly dividends to holders based on the performance of our equity fund.
|Q2 2019||SCD Fund|
Sharpe will launch the SCD tokenized fund, paying quarterly dividends to token holders in Ether as a function of the returns of the fund.
|Q3 2019||1st SCD Dividends|
The 1st dividends will be paid to SCD holders, at the end of our first trading quarter. Dividends will be autonomously distributed from our Ether reserve fund via smart contract.
|Q4 2019||Hedge Fund Partnerships|
We will form strategic partnerships with hedge funds, who will benefit from access to our sentiment data feeds and modelling platform.
Questions and Answers
Live token offeringsNo live token offerings
Upcoming token offeringsNo upcoming token offerings
Past token offerings
|Sharpe Capital Pre-Sale||06 Nov 2017||13 Nov 2017|
|Sharpe Capital Token Sale||06 Nov 2017||06 Feb 2018|
|Sharpe Capital||13 Nov 2017||04 Feb 2018|
- 8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
Detailed due diligence exclusive to subscribers
Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.
A = Excellent
B = Good
C = Average
D = Below Average
E = Low <- this project