COPE

COPE (COPE)

Full information about COPE (COPE). Current COPE price in DOP, COPE open/close rates, COPE history charts, COPE market capitalization and volume.

1 COPE = 0.031 RD$ Dominican Peso (DOP)
0.0005257 DOP

Last updated: 2024-05-07 03:00:00 UTC - about 12 months ago 1 USD = 59.149348 DOP

General information
Global rank:4979
Name: COPE COPE
Symbol:COPE
Current coin price (DOP):0.031 RD$
Last hour:arrow_upward0.000000 %
Last 24 hours:arrow_downward-28.16 %
Last 7 days:-48.77 %trending_down
Capitalisation (DOP):0.000000 RD$
Volume 24h (DOP):812 120.55 RD$
Available supply:0.000000 COPE
Total coin supply:-1 COPE
Start date:0000-00-00
Last updated: 2024-05-07 03:00:00 UTC - about 12 months ago

COPE/Dominican Peso (COPE/DOP) price chart

COPE/Dominican Peso (COPE/DOP) capitalisation and volume charts

COPE is a project that has two phases. Phase 1 of COPE involves seeking to ascertain and evaluate trader weaknesses and failings retrospectively based on trader calls made about crypto markets and provide reporting on this for self-analysis. Top Call Makers are evaluated based on their call accuracy which along with other parameters results in a COPE score given to them. The top 100 Call Makers are embraced within a COPE index ranking them by their COPE score. Once a consistent list of the top 100 has been generated with the monthly 'reformation' kicking out, introducing new Top Call Makers into the index it provides a narrative for a new type of investment product based on top trader calls as measured using a reliable and accurate mechanism, which leads to phase 2.

Users who stake their COPE will receive LP-COPE and this will allow them to unlock their COPE Report highlighting strengths and weaknesses on a call by call basis and highlighting recurring failings, that can be read over and studied to improve. The COPE Engine will be looking over Thousands of reports and globally speaking, will be able to categorise the many different common types of weaknesses and failings and then give some tips on what might be done better next time, based on retrospective statistical results.