Bitcoin Green (BITG) is a sustainable, decentralized, peer-to-peer transactional currency designed to offer a solution to the problem posed by the exponential increase in energy consumed by Bitcoin and other proof-of-work currencies.
- Project TypeBlockchain
- AlgorithmPOS
- SymbolBITG
- Circulating Supply9,809,669
- Total SupplyNone specified
- Max Supply21,000,000
- Primary SectorPayments
- JurisdictionNone specified
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Team
Dylan Rhodes
Founder
Dylan is a blockchain enthusiast and believes in a sustainable future for cryptocurrency. He is the founder of a blockchain startup in Philadelphia called "Advantage Blockchain". A successful entrepreneur, Dylan has engaged in many successful ventures, within the cryptocurrency space.
Distribution
| None specified |
Milestones
| None specified |
Questions and Answers
| None specified |
Where to Buy and Trade Bitcoin Green
These are the crypto exchanges where you can buy, sell and trade Bitcoin Green, ordered by exchange popularity. You should try the ones on the top first, but also look out for the "Recommended" badge as those are reliable exchanges that we have partnered with and are comfortable recommending them to our users.| Exchange | CSRank | |
|---|---|---|
| 1. |  Crex24
|
3.72 |
| 2. |  CryptoBridge
|
2.84 |
| 3. |  Mercatox
|
2.30 |
| 4. |  STEX
|
2.25 |
| 5. |  Sistemkoin
|
1.17 |
| 6. |  Novaexchange
|
0.92 |
To invest in a token offering, visit the project's website (link above)
1. Live token offerings
No live token offerings2. Upcoming token offerings
No upcoming token offerings3. Past token offerings
| Name | Started | Ended |
|---|---|---|
| Bitcoin Green ICO | 30 Nov -0001 | 30 Nov -0001 |
8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
93%
Profile Quality
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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
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
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