Quick summary: Our recommendation is to use the crypto exchange Swyftx to buy Fetch.ai. They have over 300 cryptocurrencies available, have a fantastic app and great customer support. You also get $20 free BTC once you start trading!
Australia has a good amount of reliable and regulated crypto trading platforms, so it’s quite easy finding an exchange that has Fetch.ai. While each one comes with its own feature-set and fee structure, most crypto exchanges function very similarly when it comes to buying crypto.
Let’s get into it!
How to Buy Fetch.ai in Australia
There are only 4 main steps involved and it’s pretty straightforward:
1. Choose a crypto exchange
As mentioned above, we have plenty of options when it comes to Australian crypto exchanges. While that’s great, you ideally want to do a bit of research so you can use one that has a decent fee structure and more importantly, has Fetch.ai in its list of cryptocurrencies.
Personally, we really like Swyftx, they have over 300 cryptocurrencies, a very smooth process for buying crypto, and their support team has been fantastic.
And if you sign up through our site, you’ll get 20$ worth of free BTC once you start trading, which is always nice.
So for this guide on buying Fetch.ai, we’ll be using Swyftx as the exchange to go through. Any exchange would work of course, as long as they offer Fetch.ai.
It’s also possible to check out our comparison of the best cryptocurrency exchanges in Australia if you’re interested in learning more about which exchanges we prefer.
2. Sign up with the crypto exchange
Once you’ve decided on which exchange to use, it’s time to sign up.
Swyftx has a very streamlined sign-up process in place. The first step is to fill in the sign-up form.
Next up is to go through their basic verification process, called a KYC, which is required by law here in Australia. This should be very quick and easy.
Once done, it’s time for the next step.
3. Funding your account with AUD
To buy Fetch.ai, you first need to transfer AUD to your Swyftx account using one of the many deposit methods available. From bank transfer to PayID, POLi pay and credit cards, plenty of options to choose from.
4. Buy Fetch.ai
The final step is to go to their asset list, find Fetch.ai, navigate to the buy section, and then trade your AUD for some FET. Once you’ve bought Fetch.ai, you can track how much you’ve gained or lost either in the app (they have a great app), or on desktop on the left-hand side under your cryptocurrency list.
Where to Buy Fetch.ai (FET)
|5/5||300+ cryptocurrencies||Visit Swyftx|
|4/5||200+ cryptocurrencies||Visit Coinspot|
|3/5||400+ cryptocurrencies||Visit Binance|
Disclaimer: Trading, investing, and dealing with digital and cryptocurrencies might involve a lot of risks. Their prices are volatile and performance is unpredictable. Their past performance is no guarantee of future performance.
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How to Sell Fetch.ai
If you’re thinking about selling Fetch.ai, just follow the steps below.
- Sign in to the crypto trading platform (like Swyftx).
- Click on Fetch.ai in your list of cryptocurrencies, or find your trading account if you’re using an exchange with different accounts.
- FInd the sell section and sell Fetch.ai for AUD, or trade it for another cryptocurrency.
Frequently Asked Questions
Is buying Fetch.ai in Australia legal?
Yes, you can legally buy and trade cryptocurrencies in Australia. We do of course recommend only using crypto exchanges regulated by AUSTRAC.
How to buy Fetch.ai with PayPal?
Unfortunately, most crypto exchanges in Australia don’t support PayPal. The only exchange that you could use is eToro, but their cryptocurrency list is quite limited so you might not find Fetch.ai. Have a look on their site first, you might be lucky.
How to buy Fetch.ai with a credit card or debit card?
Most top exchanges support buying crypto with a credit or debit card. We would recommend Swyftx to buy Fetch.ai with your credit/debit card.
Fetch.AI was launched in March 2019 via IEO in Binance. It is an artificial intelligence laboratory that creates a decentralized open-source, permissionless machine learning network using crypto economies. Fetch.ai makes AI technology available to all. Fetch.ai is a network that anyone can use to connect to secure data, and autonomous AI to complete tasks that utilize the global network's data. Fetch.AI can be used to optimize DeFi trading services and transport networks (parking, micromobility), smart grids and travel.
Fetch.ai's utility coin FET was designed to aid in the creation, deployment and maintenance of digital twins. It is an integral component of smart contracts on Fetch.ai.
FET tokens enable users to create and deploy digital twins via the network. Developers, by paying with FET tokens, can access machine-learning-based utilities to train autonomous digital twin and deploy collective intelligence on the network.
To enable validation nodes, you can also stake FET tokens. This allows network validation and reputation.
The Fetch.ai technology stack is made up of four elements. These elements are:
The Digital Twin Framework -- includes modular components that enable teams to create markets, skills and intelligence for their digital counterparts.
The Open Economic Framework -- Offers search and discovery functions to digital twins.
The Digital Twin Metropolis -- A collection smart contracts that run on a WebAssembly virtual computer to keep an immutable log of all digital twin agreements.
Fetch.ai Blockchain uses multiparty cryptography and game theory to create secure, censorship-resistant consensus and fast chain-syncing digital twin applications.
The platform's core components include the learner. Each participant is the learning experimentâ€™s learner. Each learner is a private dataset. Another component of the platform's core components is the global market. This is the outcome of a collective learning experiment, in which the machine-learning model was collectively trained by learners. Smart contracts are supported by the Fetch.ai blockchain. They allow for governance and coordination in a secure and auditable way. Decentralized data layers, based upon IPFS, allow for sharing of machine-learning weights between all learners.