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Fetch.ai FET

Fetch.ai header image

1. Summary

Fundamental Rank
Developer Rank
Social Rank
Coinrank
Price
52W High price $0.94
52W High date 12th Sep 2021 (2 months ago)
All Time High (ATH) Date 8th Sep 2021 (2 months ago)
ATH Price $1.00
% From ATH -32%
All Time Low (ATL) Date 13th Mar 2020 (1 year ago)
% From ATL 9720%
Supply & Trading Volume
Volume (24h) 46.23M
Total Supply 1.15B
Circulating Supply 688.12M
Description

Discussing Fetch.ai, it is an artificial intelligence lab that built a decentralized machine learning platform that is based on a distributed ledger. This platform enables secure sharing, connection as well as transactions that are based on any data on a global scale.

Discussing Fetch.ai, it is an artificial intelligence lab that built a decentralized machine learning platform that is based on a distributed ledger. This platform enables secure sharing, connection as well as transactions that are based on any data on a global scale.

The network is based upon an open-source technology that any user can actually run, with the intention to connect to the network which gives access to the power of AI on a world-scale secure dataset. They can use it to carry out complex coordination tasks.

There are software agents within the network that represent and act on their owners, and these autonomous agents provide an optimized service across the different ecosystems.

The FET Token Explained

The FET token is used as a medium of exchange on the Open Economic Framework (OEF) and enables autonomous agents to get data or services from other agents. You can use the FET token for smart search and the discovery for agents.

By paying a certain amount of FET tokens, developers can access Machine Learning based utilities that can train an autonomous agent and deploy collective intelligence within the network.

You can also participate in staking to validate network services, where the validation nodes are enabled through staking FET tokens.

Features of Fetch.ai

Fetch.ai is essentially built to provide open access to a tokenized, decentralized machine learning network that can enable a smart infrastructure that is built around a decentralized digital economy.

It aims to connect Internet of Things (IoT) devices as well as algorithms to enable their collective learning. It was originally launched in 2017.

The Fetch.ai technology stack has elements that are distinct, including the agent framework, which provides modular as well as reusable components that aid in building multi-agent systems. The open economic framework is what actually provides search and discovery functions to all of the agents. The agent metropolis is a collection of smart contracts that run on a WebAssembly (WASM) virtual machine to maintain an immutable record of the agreements between the agents. Last but not least you have the Fetch.ai blockchain which combines multi-party cryptography as well as game theory in order to provide a secure and censorship-resistant consensus and rapid chain-syncing to support agent applications.

The blockchain can be used to decentralize federated learning algorithms, and the benefits of the collective machine learning models are shared across multiple owners of the specific data.

Simple development, as well as deployment of the autonomous agent populations, can fulfill economic goals. This is done through strategy, communication, search as well as the exchange of value.

It also enables enhanced speed, efficiency as well as security of the blockchain using next-generation multi-party computation or MPC protocols for random beacons as well as aggregated signatures.

Founders of Fetch.ai (FET)

Discussing the founders of Fetch.ai, it was founded by three people, including Humayun Sheikh, Toby Simpson, and Thomas Hain.

Humayun Sheikh is the CEO and is also the CEO and founder of Mettalex, as well as the founder of uVue and itzMe.

Toby Simpson fills the role of the COO and was also the CTO of Ososim Limited, as well as head of software design at DeepMind.

Thomas Hain is the chief science officer and was also the co-founder of Koemei.

2. Price

$FET / USD

2.1. Market Performance

How does Fetch.ai's (FET) performance compare to assets of a similar market capitalization?

30 Day Return

9.2%

FET

5.1%

Similar Market Cap

60 Day Return

-1.2%

FET

-0.9%

Similar Market Cap

1 Year Return

1,169.8%

FET

390.2%

Similar Market Cap

3. Developer Activity

We're monitoring 54 Fetch.ai Github repos for commits, code additions and deletions. This data is factored into the Developer Rank. Because of delays in Github's stat processing, recent activity maybe underrepresented.

Weekly Commits (All Fetch.ai Repos)

Commits vs. The Market

  • Past 4 weeks: 25 commits vs. an average of 31
  • Past 12 weeks: 237 commits vs. an average of 124
  • Past year: 4,005 commits vs. an average of 860

Most Active Repos

Past week 0
Past 12 weeks 87
Past year 3357
Past week 11
Past 12 weeks 36
Past year 510
Past week 1
Past 12 weeks 10
Past year 489
Past week 3
Past 12 weeks 7
Past year 298
Past week 12
Past 12 weeks 47
Past year 281
Past week 0
Past 12 weeks 4
Past year 210
4. Social Activity
Reddit Subscribers 6,867
Active Reddit Users (past 24h) 15
Telegram Users 13,679
Twitter followers 87,106
5. News
6. More Information

Always do your own research (DYOR) before making any investment. Here's some links you might find helpful:

Website https://fetch.ai/
Explorer https://etherscan.io/token/0xaea46A60368A7bD060eec7DF8CBa43b7EF41Ad85
Twitter @fetch_ai
reddit /r/FetchAI_Community
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