What is stETH (STETH) | What is STETH token

Introducing Lido

In the next few weeks, Ethereum is expected to launch ETH 2.0 and begin the transition to proof of stake (PoS) as discussed in the original Ethereum whitepaper.

PoS networks are not new. Although Tezos and Cosmos are amongst the 100s of networks that are secured by PoS today, when Ethereum’s transition is complete, it will be the largest PoS network by a significant margin.

Ethereum’s PoS launch raises some additional interesting issues:

  1. Early stakers will lock their ETH until transactions are enabled on ETH 2.0, which could be a few months or several years.
  2. ETH cannot be moved/traded or used as collateral when a user is staking ETH — in other words, staked ETH is illiquid.
  3. Users can only stake multiples of 32 ETH.

Early staking commitment

When ETH 2.0 launches it will be a multi-phase rollout. Staking will launch quite early, but the state transitions — including transfers — will not be launched until later phases of the ETH 2.0 transition. Without transactions enabled, it will be impossible to move, trade or spend ETH that has been staked.

Practically, this means that any ETH staked on ETH 2.0 early in the rollout will be locked and unmoveable for a period of time — possibly even up to 2 or 3 years.

This may deter participation in staking on ETH 2.0 given that users sacrifice the ability to use, sell, trade or do anything else with their ETH for that period of time.

Illiquidity

During the period mentioned above, staked ETH will be non-transferable and illiquid.

Even after transactions are enabled on ETH 2.0 and it becomes possible to unstake ETH, ETH that is staked will remain illiquid for the period of time it is staked.

This presents an interesting dilemma — adversarial incentives between securing the network through staking and participating in DeFi are introduced. Users will have to choose between the rewards offered from staking or the yield offered from DeFi protocols.

This has been best described by Tarun from Gauntlet in his research on competitive equilibria between staking and on-chain lending and Haseeb from Dragonfly in his commentary on the paper.

Staking 32 ETH multiples

Finally, some users may face an additional issue with the requirement to stake multiples of 32 ETH.

At the time of this post, a user would need to stake no less than $11,744.32 in order to participate in securing the Ethereum network under ETH 2.0.

People that own 5 ETH and want to participate in staking will not be able to do so alone. Equally, people who own 45 ETH will only be able to stake 32 ETH from their holding.

So… why Lido?

Lido is a staking solution for ETH 2.0 built to solve these problems and backed by several industry-leading staking providers. It makes staked ETH liquid and allows participation with any amount of ETH.

When using Lido to stake your ETH on the Ethereum beacon chain, users will receive a token (stETH), which represents their ETH on the Ethereum beacon chain on a 1:1 basis. It effectively acts as a bridge bringing ETH 2.0’s staking rewards to ETH 1.0.

As a user’s staked ETH generates staking rewards from ETH 2.0, the user’s ETH balance on the beacon chain will increase. stETH balances will update correspondingly once per day allowing you to access on ETH 1.0 the value of your staking rewards received on ETH 2.0.

Users can use stETH in all of the same ways that they can use ETH: sell it, spend it and, since it is compatible to be used in DeFi, use it as collateral for on-chain lending. When transactions are enabled on ETH 2.0, users can also redeem stETH for ETH.

We believe that stETH will be an important base primitive in DeFi, and a foundational building block for the Ethereum money-lego stack.

Lido is intended to remove the adversarial incentives of ETH 2.0 by allowing users to stake their ETH while simultaneously participating in on-chain lending with stETH, thus providing them access to additional yield from other protocols and producing a more secure ETH network.

How Lido Works

Lido DAO is a community that builds liquid staking service for Ethereum. Lido allows users to earn staking rewards without locking assets or maintaining staking infrastructure. Staking with Lido is primed to start along with Phase 0 of Ethereum 2.0.

Upon depositing ether into Lido’s smart contracts, a user receives stETH (staked ETH) ERC20 tokens that represent the user’s staked ETH balance of beacon chain along with staking rewards accrued or penalties inflicted on validators in the beacon chain. When transactions are enabled on the beacon chain - which does not yet have a target date but is estimated to be over 18 months away - users will be able to redeem stETH for unstaked ether together with accumulated rewards directly. Until then, stETH can be transferred or traded, unlike beacon chain ether.

Lido has a lot of moving parts by necessity so the system, along with design goals and constraints, are described below in simple terms.

Design goals and constraints

Staking during the first stages of Ethereum 2.0 means accepting the risk that your ETH will be frozen until transfers are available in Ethereum 2.0 (Phase 1.5 or Phase 2), which is expected to happen next year at the earliest. Until that time, no one will be able to withdraw staked ether or staking rewards and, for example, sell them on an exchange.

To validate the beacon chain, a staker needs to deposit 32 ethers, specify a validating public key, and specify a withdrawal address where the staker’s assets and rewards will stay frozen until transfers are enabled. Until then, the only two activities you can do on the beacon chain are to validate and to stop validating. During this time, stakers must run the validation infrastructure, facing the risk of having their stake reduced in the case of misconfiguration.

There is a risk of loss or loss of rewards, which occurs if the validator is slashed for misbehaving. This can happen, for example, due to a bug in the validator’s node code or due to connectivity issues. This risk makes Ethereum staking especially unattractive in Phases 0 and 1, when the staker has, for a middling reward, to bear market risk while being unable to unstake.

Lido aims to allow users to stake ether without losing the ability to trade or otherwise use their tokens. Lido will be a decentralized infrastructure for issuing a liquid token that has a degree of flexibility compared to self-staking.

The primary goals of Lido are:

  • To allow users to earn staking rewards without fully locking their capital;
  • To offer flexibility to users to earn rewards on deposits smaller than 32 ether, and without restriction on deposits different than a multiple of 32 ether;
  • To reduce the risks of losing a staked deposit due to software failures or malicious third-parties;
  • To provide the stETH token as a building block for other applications and protocols (e.g., as collateral in lending or other trading DeFi solutions);
  • To provide an alternative to exchange staking, self-staking, and other semi-custodial and decentralized protocols.

Lido is designed as a simple-to-use protocol with community governance. The protocol has to follow the changes in the underlying blockchain mechanisms.

Lido’s structural components

The following is a broad description of the components of the Lido staking protocol:

  1. Staking pool: protocol to manage deposits, staking rewards, and withdrawals

a. node operators registry

b. withdrawal credentials

c. oracles

d. rewards

2. stETH: liquid staking token that maintains balance corresponding 1-to-1 to your share of beacon chain ether

3. DAO: Aragon DAO that governs protocol parameters

Staking pool

The staking pool is the core smart contract of Lido. The contract is responsible for ether deposits and withdrawals; minting and burning stETH tokens; delegating funds to node operators; applying fees to staking rewards; and accepting updates from the oracle contract. Node operators’ manager logic is extracted to a separate contract, NodeOperatorsRegistry.

Users will send ether to the staking pool contract to be minted stETH tokens in return. That ether will be distributed between node operators to maintain uniform distribution and deposited to be validated by their validators. Withdrawal credentials for that ether will be set either to threshold signature of distributed custody or, if withdrawal to eth1 addresses will get accepted by the community, to an upgradeable smart contract that will handle withdrawals when they are enabled.

Node operators also validate transactions on the beacon chain. The DAO selects node operators and adds their addresses to the NodeOperatorsRegistry contract. Authorized node operators have to generate a set of keys for the validation and also provide them with the smart contract. As ether is received from users, it is distributed in chunks of 32 Ether between all active node operators. The staking pool contract contains a list of node operators, their keys, and the logic for distributing rewards between them.

Oracle is a contract that keeps track of balances of the DAO’s validators on the beacon chain. The balances can go up because of reward accumulation and can go down due to slashing and staking penalties. Oracles are assigned by the DAO. Data is sent daily and is used to provide an accurate balance of stETH tokens for users. On days where there have been rewards, a small amount of stETH tokens are minted to the node operators and to the DAO’s insurance and development fund, representing a reward fee.

stETH token

stETH is an ERC20 token that represents staked ether in Lido. Tokens are minted upon deposit and burned when redeemed. stETH token balances are pegged 1:1 to the ethers that are staked by Lido. stETH token’s balances are updated when the oracle reports change in total stake every day.

Lido DAO

We believe a DAO is an optimal structure for launching Lido. If we were to launch Lido without decentralised governance, users would be required to trust a single point of failure to maintain a 1:1 relationship of ETH to stETH – similar to how Tether requires trust that the USDT is backed 1:1 by dollars.

Instead, we believe by distributing governance of such parameters to a decentralised community you reduce the risk to the user.

In addition:

  • Lido is highly dependent on the design and restrictions of the beacon chain;
  • Ethereum 2.0 staking protocol may change and therefore Lido should be upgradable;
  • An insurance provider must be selected and terms for slashing insurance must be negotiated;
  • DAO governance is preferable than one person or a developer’s team for making decisions about changes in Lido; and
  • A DAO will be able to cover the costs of developing and upgrading the protocol from the DAO token treasury.

The DAO will accumulate service fees from Lido, which can be used in the insurance and development funds, distributed by the DAO.

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What is stETH (STETH) | What is STETH token

Words Counted: A Ruby Natural Language Processor.

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.

Are you using WordsCounted to do something interesting? Please tell me about it.

 

Demo

Visit this website for one example of what you can do with WordsCounted.

Features

  • Out of the box, get the following data from any string or readable file, or URL:
    • Token count and unique token count
    • Token densities, frequencies, and lengths
    • Char count and average chars per token
    • The longest tokens and their lengths
    • The most frequent tokens and their frequencies.
  • A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
  • Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as ["Bayrūt"] and not ["Bayr", "ū", "t"], for example.
  • Opens and reads files. Pass in a file path or a url instead of a string.

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

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.

API

WordsCounted

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.

Tokeniser

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.

Counter

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

Excluding tokens from the tokeniser

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.

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
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"]

Passing in a custom regexp

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"]

Opening and reading files

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")

Gotchas

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.

A note on case sensitivity

The program will normalise (downcase) all incoming strings for consistency and filters.

Roadmap

Ability to open URLs

def self.from_url
  # open url and send string here after removing html
end

Contributors

See contributors.

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license

#ruby  #ruby-on-rails 

Royce  Reinger

Royce Reinger

1658068560

WordsCounted: A Ruby Natural Language Processor

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.

Features

  • Out of the box, get the following data from any string or readable file, or URL:
    • Token count and unique token count
    • Token densities, frequencies, and lengths
    • Char count and average chars per token
    • The longest tokens and their lengths
    • The most frequent tokens and their frequencies.
  • A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
  • Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as ["Bayrūt"] and not ["Bayr", "ū", "t"], for example.
  • Opens and reads files. Pass in a file path or a url instead of a string.

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

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.

API

WordsCounted

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.

Tokeniser

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.

Counter

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

Excluding tokens from the tokeniser

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.

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
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"]

Passing in a custom regexp

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"]

Opening and reading files

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")

Gotchas

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.

A note on case sensitivity

The program will normalise (downcase) all incoming strings for consistency and filters.

Roadmap

Ability to open URLs

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.

Gem Version 

RubyDoc documentation.

Demo

Visit this website for one example of what you can do with WordsCounted.


Contributors

See contributors.

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted 
License: MIT license

#ruby #nlp 

aaron silva

aaron silva

1622197808

SafeMoon Clone | Create A DeFi Token Like SafeMoon | DeFi token like SafeMoon

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

aaron silva

aaron silva

1621844791

SafeMoon Clone | SafeMoon Token Clone | SafeMoon Token Clone Development

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.

Reasons to invest in SafeMoon Token Clone :

  • The SafeMoon token clone benefits the investors with Automated Liquidity Pool as a unique feature since it adds more revenue for their business growth in less time. The traders can experience instant trade round the clock for reaping profits with less investment towards the SafeMoon token.
  • It is integrated with high-end security protocols like two-factor authentication and signature process to prevent various hacks and vulnerable activities. The Smart Contract system in SafeMoon token development manages the overall operation of transactions without any delay,
  • The users can obtain a reward amount based on the volume of SafeMoon tokens traded in the marketplace. The efficient trading mechanism allows the users to trade the SafeMoon tokens at the best price for farming. The user can earn higher rewards based on the staking volume of tokens by users in the trade market.
  • It allows the token holders to gain complete ownership over their SafeMoon tokens after purchasing from DeFi exchanges. The SafeMoon community governs the token distribution, price fluctuations, staking, and every other token activity. The community boosts the value of SafeMoon tokens.
  • The Automated Burning tokens result in the community no longer having control over the SafeMoon tokens. Instead, the community can control the burn of the tokens efficiently for promoting its value in the marketplace. The transaction of SafeMoon tokens on the blockchain platform is fast, safe, and secure.

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

Angelina roda

Angelina roda

1624230000

How to Buy FEG Token - The EASIEST Method 2021. JUST IN A FEW MINUTES!!!

How to Buy FEG Token - The EASIEST Method 2021
In today’s video, I will be showing you guys how to buy the FEG token/coin using Trust Wallet and Pancakeswap. This will work for both iOS and Android devices!
📺 The video in this post was made by More LimSanity
The origin of the article: https://www.youtube.com/watch?v=LAVwpiEN6bg
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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