1606874142
Base Protocol (BASE) is a token whose price is pegged to the total market cap of all cryptocurrencies at a ratio of 1:1 trillion. BASE allows traders to speculate on the entire crypto industry with one token. The Base Protocol is built on the Ethereum blockchain, integrates a (Chainlink) oracle, and is launching on ((Uniswap)
As cryptocurrency enthusiasts, we’re sometimes divided on which digital assets to buy — bullish on certain projects and bearish on others.
But we all agree on one thing, which is that the overall cryptocurrency industry will achieve long-term growth and future adoption.
The Base Protocol makes it possible to invest with this consensus. BASE allows traders to speculate on the entire industry with one token.
The Base Protocol is the world’s first and only tokenized cryptocurrency market tracker. By holding BASE tokens, users can get exposure to the performance of the entire cryptocurrency market. Unlike the index trackers currently operating in the traditional markets, there is no entry or exit fee or brokerage charges.
Index funds have consistently outperformed actively managed mutual funds. Until the launch of BASE, there was no real cryptocurrency market tracker that tracked the performance of the entire digital asset market. BASE will be useful for institutional investors and traders to diversify and hedge their crypto portfolios. BASE will also help new and existing retail investors to take out the guesswork and get exposed to the growth of all current and future digital assets entering the market.
The BASE token’s underlying protocol creates several additional use cases in DeFi, trading, venture capital, hedge funds and many other business sectors.
The Base Protocol mission is simple — to make it easy for everyone to benefit from the performance of the entire cryptocurrency market in a secure, decentralized and future-proof way.
It’s no doubt that a crypto industry ETF would be a valuable product for investors. But it is very challenging to create such a product through traditional means, as it would be almost impossible to manage portfolio ownership of 5,000+ assets. How would the portfolio manager weigh ownership of each asset as market cap dominance changes? How would they account for newly entering/exiting assets? Who would take on all the associated transaction and custodial fees? There are also various legal limitations that restrict the formation of such an instrument in many countries — and even if it could be formed, it would be a highly centralized product.
By simply pegging price to the total market capitalization of all cryptocurrencies, the Base Protocol cuts through all of these problems. BASE gives holders the same function as a traditional industry ETF without all of the centralized challenges that make such an ETF impossible.
BASE will offer new value for investors in the cryptocurrency ecosystem through an elegantly simple protocol — so valuable and so simple that you might be asking yourself:
How has this not been done before?
The answer is that it wasn’t possible until recently. This project couldn’t be achieved without a robust decentralized blockchain, proven oracle integrations, and new developments in the DeFi space. We founded the Base Protocol to build on these innovations and create BASE; one tokenized asset that represents speculation on all cryptocurrencies.
We’ve seen that there are many individuals who want to invest in cryptocurrencies, but don’t necessarily understand how they work. While the overview for each different crypto asset can be difficult to understand for a new user, the pitch for BASE is simple: it’s the way to invest in all of those crypto assets simultaneously. In this way, the Base Protocol can become an instrumental force in driving new adoption in the blockchain space.
We’ve also noticed that institutional investors have been introducing cryptocurrency investments to their portfolios. These institutions typically invest at a high level with great diversification covering multiple industries. Their cryptocurrency holdings are usually composed of just Bitcoin, or some handful mix of “blue chip” digital assets. By holding BASE, these institutions will gain exposure to the entire cryptocurrency industry — an objectively more diversified alternative.
In the same way that Bitcoin is the household name of cryptocurrencies, the Base Protocol aims to become the household name for general cryptocurrency investing. BASE’s vision is to become the primary channel of investment for new/existing cryptocurrency traders and institutional investors.
Would you like to earn token right now! ☞ CLICK HERE
Looking for more information…
☞ Website
☞ Explorer
☞ Source Code
☞ Social Channel
☞ Message Board
☞ Coinmarketcap
Create an Account and Trade NOW
☞ Bittrex
☞ Poloniex
☞ Binance
Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!
#blockchain #bitcoin #crypto #base protocol #base
1606874142
Base Protocol (BASE) is a token whose price is pegged to the total market cap of all cryptocurrencies at a ratio of 1:1 trillion. BASE allows traders to speculate on the entire crypto industry with one token. The Base Protocol is built on the Ethereum blockchain, integrates a (Chainlink) oracle, and is launching on ((Uniswap)
As cryptocurrency enthusiasts, we’re sometimes divided on which digital assets to buy — bullish on certain projects and bearish on others.
But we all agree on one thing, which is that the overall cryptocurrency industry will achieve long-term growth and future adoption.
The Base Protocol makes it possible to invest with this consensus. BASE allows traders to speculate on the entire industry with one token.
The Base Protocol is the world’s first and only tokenized cryptocurrency market tracker. By holding BASE tokens, users can get exposure to the performance of the entire cryptocurrency market. Unlike the index trackers currently operating in the traditional markets, there is no entry or exit fee or brokerage charges.
Index funds have consistently outperformed actively managed mutual funds. Until the launch of BASE, there was no real cryptocurrency market tracker that tracked the performance of the entire digital asset market. BASE will be useful for institutional investors and traders to diversify and hedge their crypto portfolios. BASE will also help new and existing retail investors to take out the guesswork and get exposed to the growth of all current and future digital assets entering the market.
The BASE token’s underlying protocol creates several additional use cases in DeFi, trading, venture capital, hedge funds and many other business sectors.
The Base Protocol mission is simple — to make it easy for everyone to benefit from the performance of the entire cryptocurrency market in a secure, decentralized and future-proof way.
It’s no doubt that a crypto industry ETF would be a valuable product for investors. But it is very challenging to create such a product through traditional means, as it would be almost impossible to manage portfolio ownership of 5,000+ assets. How would the portfolio manager weigh ownership of each asset as market cap dominance changes? How would they account for newly entering/exiting assets? Who would take on all the associated transaction and custodial fees? There are also various legal limitations that restrict the formation of such an instrument in many countries — and even if it could be formed, it would be a highly centralized product.
By simply pegging price to the total market capitalization of all cryptocurrencies, the Base Protocol cuts through all of these problems. BASE gives holders the same function as a traditional industry ETF without all of the centralized challenges that make such an ETF impossible.
BASE will offer new value for investors in the cryptocurrency ecosystem through an elegantly simple protocol — so valuable and so simple that you might be asking yourself:
How has this not been done before?
The answer is that it wasn’t possible until recently. This project couldn’t be achieved without a robust decentralized blockchain, proven oracle integrations, and new developments in the DeFi space. We founded the Base Protocol to build on these innovations and create BASE; one tokenized asset that represents speculation on all cryptocurrencies.
We’ve seen that there are many individuals who want to invest in cryptocurrencies, but don’t necessarily understand how they work. While the overview for each different crypto asset can be difficult to understand for a new user, the pitch for BASE is simple: it’s the way to invest in all of those crypto assets simultaneously. In this way, the Base Protocol can become an instrumental force in driving new adoption in the blockchain space.
We’ve also noticed that institutional investors have been introducing cryptocurrency investments to their portfolios. These institutions typically invest at a high level with great diversification covering multiple industries. Their cryptocurrency holdings are usually composed of just Bitcoin, or some handful mix of “blue chip” digital assets. By holding BASE, these institutions will gain exposure to the entire cryptocurrency industry — an objectively more diversified alternative.
In the same way that Bitcoin is the household name of cryptocurrencies, the Base Protocol aims to become the household name for general cryptocurrency investing. BASE’s vision is to become the primary channel of investment for new/existing cryptocurrency traders and institutional investors.
Would you like to earn token right now! ☞ CLICK HERE
Looking for more information…
☞ Website
☞ Explorer
☞ Source Code
☞ Social Channel
☞ Message Board
☞ Coinmarketcap
Create an Account and Trade NOW
☞ Bittrex
☞ Poloniex
☞ Binance
Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!
#blockchain #bitcoin #crypto #base protocol #base
1658068560
WordsCounted
We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde
WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.
["Bayrūt"]
and not ["Bayr", "ū", "t"]
, for example.Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
Pass in a string or a file path, and an optional filter and/or regexp.
counter = WordsCounted.count(
"We are all in the gutter, but some of us are looking at the stars."
)
# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")
.count
and .from_file
are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter
initialized with the tokens. The WordsCounted::Tokeniser
and WordsCounted::Counter
classes can be used alone, however.
WordsCounted.count(input, options = {})
Tokenises input and initializes a WordsCounted::Counter
object with the resulting tokens.
counter = WordsCounted.count("Hello Beirut!")
Accepts two options: exclude
and regexp
. See Excluding tokens from the analyser and Passing in a custom regexp respectively.
WordsCounted.from_file(path, options = {})
Reads and tokenises a file, and initializes a WordsCounted::Counter
object with the resulting tokens.
counter = WordsCounted.from_file("hello_beirut.txt")
Accepts the same options as .count
.
The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.
Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.
#tokenise([pattern: TOKEN_REGEXP, exclude: nil])
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise
# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")
# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)
See Excluding tokens from the analyser and Passing in a custom regexp for more information.
The WordsCounted::Counter
class allows you to collect various statistics from an array of tokens.
#token_count
Returns the token count of a given string.
counter.token_count #=> 15
#token_frequency
Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.
counter.token_frequency
[
["the", 2],
["are", 2],
["we", 1],
# ...
["all", 1]
]
#most_frequent_tokens
Returns a hash where each key-value pair is a token and its frequency.
counter.most_frequent_tokens
{ "are" => 2, "the" => 2 }
#token_lengths
Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.
counter.token_lengths
[
["looking", 7],
["gutter", 6],
["stars", 5],
# ...
["in", 2]
]
#longest_tokens
Returns a hash where each key-value pair is a token and its length.
counter.longest_tokens
{ "looking" => 7 }
#token_density([ precision: 2 ])
Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision
argument, which must be a float.
counter.token_density
[
["are", 0.13],
["the", 0.13],
["but", 0.07 ],
# ...
["we", 0.07 ]
]
#char_count
Returns the char count of tokens.
counter.char_count #=> 76
#average_chars_per_token([ precision: 2 ])
Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.
counter.average_chars_per_token #=> 4
#uniq_token_count
Returns the number of unique tokens.
counter.uniq_token_count #=> 13
You can exclude anything you want from the input by passing the exclude
option. The exclude option accepts a variety of filters and is extremely flexible.
:odd?
.tokeniser =
WordsCounted::Tokeniser.new(
"Magnificent! That was magnificent, Trevor."
)
# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]
# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]
# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]
# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]
# Using an array
tokeniser = WordsCounted::Tokeniser.new(
"Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]
The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.
/[\p{Alpha}\-']+/
You can pass your own criteria as a Ruby regular expression to split your string as desired.
For example, if you wanted to include numbers, you can override the regular expression:
counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]
Use the from_file
method to open files. from_file
accepts the same options as .count
. The file path can be a URL.
counter = WordsCounted.from_file("url/or/path/to/file.text")
A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.
counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency
[
["do", 2],
["how", 1],
["you", 1],
["-you", 1], # WTF, mate!
["are", 1],
# ...
]
In this example -you
and you
are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.
The program will normalise (downcase) all incoming strings for consistency and filters.
def self.from_url
# open url and send string here after removing html
end
Are you using WordsCounted to do something interesting? Please tell me about it.
Visit this website for one example of what you can do with WordsCounted.
Contributors
See contributors.
git checkout -b my-new-feature
)git commit -am 'Add some feature'
)git push origin my-new-feature
)Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted
License: MIT license
1659601560
We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde
WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.
Are you using WordsCounted to do something interesting? Please tell me about it.
Visit this website for one example of what you can do with WordsCounted.
["Bayrūt"]
and not ["Bayr", "ū", "t"]
, for example.Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
Pass in a string or a file path, and an optional filter and/or regexp.
counter = WordsCounted.count(
"We are all in the gutter, but some of us are looking at the stars."
)
# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")
.count
and .from_file
are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter
initialized with the tokens. The WordsCounted::Tokeniser
and WordsCounted::Counter
classes can be used alone, however.
WordsCounted.count(input, options = {})
Tokenises input and initializes a WordsCounted::Counter
object with the resulting tokens.
counter = WordsCounted.count("Hello Beirut!")
Accepts two options: exclude
and regexp
. See Excluding tokens from the analyser and Passing in a custom regexp respectively.
WordsCounted.from_file(path, options = {})
Reads and tokenises a file, and initializes a WordsCounted::Counter
object with the resulting tokens.
counter = WordsCounted.from_file("hello_beirut.txt")
Accepts the same options as .count
.
The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.
Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.
#tokenise([pattern: TOKEN_REGEXP, exclude: nil])
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise
# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")
# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)
See Excluding tokens from the analyser and Passing in a custom regexp for more information.
The WordsCounted::Counter
class allows you to collect various statistics from an array of tokens.
#token_count
Returns the token count of a given string.
counter.token_count #=> 15
#token_frequency
Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.
counter.token_frequency
[
["the", 2],
["are", 2],
["we", 1],
# ...
["all", 1]
]
#most_frequent_tokens
Returns a hash where each key-value pair is a token and its frequency.
counter.most_frequent_tokens
{ "are" => 2, "the" => 2 }
#token_lengths
Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.
counter.token_lengths
[
["looking", 7],
["gutter", 6],
["stars", 5],
# ...
["in", 2]
]
#longest_tokens
Returns a hash where each key-value pair is a token and its length.
counter.longest_tokens
{ "looking" => 7 }
#token_density([ precision: 2 ])
Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision
argument, which must be a float.
counter.token_density
[
["are", 0.13],
["the", 0.13],
["but", 0.07 ],
# ...
["we", 0.07 ]
]
#char_count
Returns the char count of tokens.
counter.char_count #=> 76
#average_chars_per_token([ precision: 2 ])
Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.
counter.average_chars_per_token #=> 4
#uniq_token_count
Returns the number of unique tokens.
counter.uniq_token_count #=> 13
You can exclude anything you want from the input by passing the exclude
option. The exclude option accepts a variety of filters and is extremely flexible.
:odd?
.tokeniser =
WordsCounted::Tokeniser.new(
"Magnificent! That was magnificent, Trevor."
)
# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]
# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]
# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]
# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]
# Using an array
tokeniser = WordsCounted::Tokeniser.new(
"Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]
The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.
/[\p{Alpha}\-']+/
You can pass your own criteria as a Ruby regular expression to split your string as desired.
For example, if you wanted to include numbers, you can override the regular expression:
counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]
Use the from_file
method to open files. from_file
accepts the same options as .count
. The file path can be a URL.
counter = WordsCounted.from_file("url/or/path/to/file.text")
A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.
counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency
[
["do", 2],
["how", 1],
["you", 1],
["-you", 1], # WTF, mate!
["are", 1],
# ...
]
In this example -you
and you
are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.
The program will normalise (downcase) all incoming strings for consistency and filters.
def self.from_url
# open url and send string here after removing html
end
See contributors.
git checkout -b my-new-feature
)git commit -am 'Add some feature'
)git push origin my-new-feature
)Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license
#ruby #ruby-on-rails
1622197808
SafeMoon is a decentralized finance (DeFi) token. This token consists of RFI tokenomics and auto-liquidity generating protocol. A DeFi token like SafeMoon has reached the mainstream standards under the Binance Smart Chain. Its success and popularity have been immense, thus, making the majority of the business firms adopt this style of cryptocurrency as an alternative.
A DeFi token like SafeMoon is almost similar to the other crypto-token, but the only difference being that it charges a 10% transaction fee from the users who sell their tokens, in which 5% of the fee is distributed to the remaining SafeMoon owners. This feature rewards the owners for holding onto their tokens.
Read More @ https://bit.ly/3oFbJoJ
#create a defi token like safemoon #defi token like safemoon #safemoon token #safemoon token clone #defi token
1621844791
The SafeMoon Token Clone Development is the new trendsetter in the digital world that brought significant changes to benefit the growth of investors’ business in a short period. The SafeMoon token clone is the most widely discussed topic among global users for its value soaring high in the marketplace. The SafeMoon token development is a combination of RFI tokenomics and the auto-liquidity generating process. The SafeMoon token is a replica of decentralized finance (DeFi) tokens that are highly scalable and implemented with tamper-proof security.
The SafeMoon tokens execute efficient functionalities like RFI Static Rewards, Automated Liquidity Provisions, and Automatic Token Burns. The SafeMoon token is considered the most advanced stable coin in the crypto market. It gained global audience attention for managing the stability of asset value without any fluctuations in the marketplace. The SafeMoon token clone is completely decentralized that eliminates the need for intermediaries and benefits the users with less transaction fee and wait time to overtake the traditional banking process.
The SafeMoon Token Clone Development is a promising future for upcoming investors and startups to increase their business revenue in less time. The SafeMoon token clone has great demand in the real world among millions of users for its value in the market. Investors can contact leading Infinite Block Tech to gain proper assistance in developing a world-class SafeMoon token clone that increases the business growth in less time.
#safemoon token #safemoon token clone #safemoon token clone development #defi token