Shiba Inu Trading Competition

As a thank you and motivation to our students we are having an in-house competition for a prize of 7,500,000 Shiba Inu Tokens!
DO NOT SEND FUNDS TO ANYONE REQUESTING THEM. ALL OUR OFFICIAL PRODUCTS ARE LISTED ON OUR WEBSITE. MUST BE A STUDENT TO PARTICIPATE IN THIS COMPETITION.
To enter the competition you simply have to share your winning trade (in any pair) to the private group chat (private group only for enrolled students). The trade that closes for the highest percentage wins! @deadlycrypto to have your trade pinned to the private group! Examples:




The position can either be “long” or “short”. The contest will conclude on June 25th and the winner will be announced in the private group chat.
WINNER MUST BE AN ENROLLED STUDENT! If the winner is not a registered student, the runner-up will be selected. We will contact the student by email. We will not ask you for any funds in this email. Do not send funds to anyone requesting them, they are trying to scam you.
1st place - 7,500,000 Shiba Inu tokens
2nd place - 1 Hour Private with in-house analyst Edward
****The screenshot submitted must have proof of trade. You must verify the trade has been closed and not simply photoshopped. If the winners can not provide proof of trade, a new winner will be selected.***
PLEASE DO NOT SEND ANY FUNDS TO ANYONE!! ALL OUR OFFICIAL PRODUCTS ARE LISTED ON OUR WEBSITE.
By viewing any material or using the information within this publication you understand that this is general education material and you can not hold any person or entity responsible for loss or damages resulting from the content or general advice provided here. Trading cryptocurrency has potential rewards, but also potential risks. You must be aware of the risks and be willing to accept them in order to invest in the markets. Only trade with funds you can afford to lose. This publication is neither a solicitation nor an offer to buy/sell cryptocurrency or other financial assets. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed in any material on this website. The past performance of any trading system or methodology is not necessarily indicative of future results.
Written by Edward Gonzales © Crypto University 2021
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