Link Machine Learning LML
Status
Link Machine Learning Cryptocurrency data is untracked
Link Machine Learning (LML) cryptocurrency is marked as 'Untracked' because of inactivity or insufficient amount of data.
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Market Capitalization is the overall value of all coins/tokens that have been mined or issued until now and are in circulation (not locked). It's similar to the stock markets' Free-Float Capitalization.
Market Capitalization = Circulating Supply x Current Price.
Learn this metricFDMC is the Market Cap if the Maximum Supply of a coin/token was entirely in circulation.
FDMC = Max Supply x Current Price.
Note: if Maximum Supply is not available or limitless, Total Supply is used to calculate the value. FDMC will be undefined and marked as "--" if no form of Supply is available.
Learn this metricIt is a quantitative metric calculating how many individual units of specific cryptocurrency coins/tokens were traded (bought & sold) within the last 24 hours. It's a direct cryptocurrency's supply & demand indicator, and is purely related to its market price.
Learn this metricThe ratio of Volume and Market Capitalization values.
Publicly circulating amount of specific cryptocurrency coins/tokens that were mined or issued to date, and are not locked/staked (are available to be traded publicly).
Learn this metricVerified Data
Link Machine Learning project's Circulating Supply has been verified and is equal to:
Circulating Supply
120,000,000 LML
The absolute theoretical maximum number of coins/tokens that is coded and will ever exist in the cryptocurrency's lifetime. Similar to stock market's Fully Diluted Shares.
Note: Max Supply will be undefined and marked as "--" if project owners did not verify / provide any data.
Learn this metricThe quantity of all coins/tokens that have ever been issued (even if the coins are locked), minus all coins/tokens that have been removed from circulation (burned). The Total Supply is similar to stock market's Outstanding Shares.
Total Supply = All Issued Coins - Burned Coins.
Note: Total Supply will be undefined and marked as "--" if project owners did not verify / provide any data.
Learn this metric
Link Machine Learning Popularity Metric Analysis
By analyzing Link Machine Learning social media signals, you can instantly see how active, community-involved and popular the company is. Looking at Link Machine Learning X statistics, it's clear that the brand has 8,460 followers, which is considered to be a quite small follower base. On the other hand, Link Machine Learning is following 2,096 X accounts. It's important to note that Link Machine Learning has posted 1,758 tweets since it joined X on Jul 26, 2018, which shows the brand's level of involvement and proactiveness.
Looking at Link Machine Learning Telegram stats, the project has 1,859 members. Link Machine Learning currently has 0 monthly organic visitors to its website, which is quite a low amount of traffic. The company's Ahrefs Rank is 1,912,775, and the Website Domain Rating is 39 - both of these metrics are deemed as average.
Link Machine Learning GitHub activity began on Nov 10, 2018, until now it has 14 public repositories.
Cryptocurrencies similar to Link Machine Learning
These are the project's quantitative metrics of its official X account that can be used to trace regular or artificial Social activity & growth within the project.
Followers
8.46K
Followers: 8,460
0.00%
Following
2,096
0.00%
Tweet count
1,758
0.00%
These are the project's quantitative metrics of its official Reddit account that can be used to trace regular or artificial Social activity & growth within the project.
Subscribers
-
Subreddit type
-
Moderators
-
Currently, official Link Machine Learning (LML) Reddit Stats account doesn't exist or wasn't submitted. 🔆 Submit Now
These are the project's quantitative metrics of its official Telegram account that can be used to trace regular or artificial Social activity & growth within the project.
Members
1.85K
Members : 1,859
0.16%
Title
GNY.io
These are the project website's metrics based on Ahrefs Rank. They're used to trace website activity & growth within the project. DR (Domain Rating) metric is a sign of the project's website reputability that is ranked from 0 to 100 (the higher the rank, the better reputability). Organic Traffic - is a metric of how many monthly users visit the project's website via search engines. All these metrics are used for determining active or passive projects despite the artificial hype.
Website Rating (DR)
39 / 100
4.88%
Ahrefs Rank
1,912,775
13.97%
Organic Traffic (mo.)
0
These are the project's quantitative metrics of its Organizational GitHub Public account that can be used to trace regular or artificial development activity & growth within the project.
Public repos
14
Type
Organization
These are the project's quantitative metrics of its official GitHub Public Repositories that can be used to trace regular or artificial development activity, growth & popularity of the project.
Stars
-
Watchers
-
Forks
-
Language
-
Currently, official Link Machine Learning (LML) GitHub Public Repository doesn't exist or wasn't submitted. 🔆 Submit Now
Link Machine Learning hot topics
Currently, official Link Machine Learning Reddit account doesn't exist or wasn't submitted. 🔆 Submit Now
@gny_io tweets