1. As #fantom ecosystem grows, @TarotFinance is killing it after $xTAROT implementation.

So it would be unfair not to talk about them!

Let's start!
2. Tarot started as a fork of @ImpermaxFinance, @TigrisOfGaul did almost everything as a one-man army, and not just as a developer, but also as a communication manager on discord.

Thanks to the #fantom community support, it passed the original protocol almost instantly.
3. If you don't know how protocol works, i had a video about it, you can watch it here:

The APRs are generally the best among the ecosystem as every pool is different from others.
4. At the time, I was checking APRs everyday because there was no lending optimizer. Now @TarotFinance has its own optimizing vaults for lending.

It automatically puts your asset into the best yielding pool.

Don't forget that it has %10 fee based on performance.
5. As we learned what Tarot is about, let's start to talk about fees and tokenomics.

There are 3 different fees on Tarot.

- Borrowers pay %10 of their interest to the reserve and %90 to lenders.
- %0.1 initial borrowing fee goes to the reserve.
- %10 fee on vaults.
6. Currently the tarot has 112m$ total borrowed.

Borrowing APR on average is around %30-35.

So if we calculate it, protocol is making around 3,5-4m$/yr from borrowers.
7. From initial borrowing (%0.1), protocol made around 100k$. And it keeps growing as the market grows.

Supply vaults has around 40m$ TVL.

It's generating around 120k$/yr currently for the protocol. I believe it will grow as people want to leverage more based on fantom growth.
8. If we compare it to the other lending protocols, @GeistFinance has %1.37 APR if we don't take rewards into account.

I expect more people to start lending on @TarotFinance in the future as the APRs are incredibly higher than other protocols.
9. And even with this borrowing APRs, people are still happy to leverage their LPs.

When more suppliers come, interest rate drops, the more borrower comes, supply APRs rise.
10. Currently based on circulating supply, market cap is around 19m$.

Protocol is making around 4m$/yr. Which is used to buyback $tarot and distribute it to $xTAROT holders.

The $tarot rewards are gone to borrowers.

APR is around %36 with FTM rewards. (Foundation incentives)
11. And the rewards are instantly going to the supply vaults. You are earning yield generating $FTM.

Mcap/Borrowed TVL ratio is currently 0,18.

For comparison:

AAVE: 0,6
Compound: 0,4

And i don't even talk about the APR difference.
12. For conclusion, Tarot is/has:

- Better APRs for lenders.
- Only leveraged farming platform on #Fantom
- Too much room to grow
- Great tokenomics
- Good communication/support on discord.

$TAROT $FTM
13. Disclaimer: I own $tarot and my opinions may be biased.

These are not financial advices. Always do your own research.

See you in the next thread! Thanks for being here, as always!

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More from @DefiIntro

21 Dec 21
1. It’s been hell of a year, mainly thanks to #fantom and #isvikingers fam!

Been in the space since 2015, but it was never this intense so i wanted to share my experiences.
2. Mathematics and algorithm matter.

When you first encounter a new project, always try to look to the documentation, make sure you understand why that project/token is undervalued based on calculations.

It’s not easy to do, but try to generate a general formula for it.
3. Compare those projects to competitors, try to realize how much potential market it has.

Traditional finance’s valuation approach doesn’t always work here in crypto space, but basic models such as supply/demand will always work.

Try to evaluate potential demand.
Read 15 tweets
19 Nov 21
1. Hello everyone again! It's been a while since i wrote a thread, but here we are!

This time i'll try to express my feelings about #NFTs and what i think they are.

Let's start!
2. I always try to explain things based on the everyday use and traditional space. For example I try to evaluate cryptocurrencies as currencies of the countries, defi tokens as stocks.
3. For example let's take $ftm.

There is a country called Fantom and you pay taxes with $ftm. The more that country grows, the more people pay tax and the more the demand grows for $ftm.

If the infrastructure is good, people will build businesses in the country.
Read 17 tweets
3 Sep 21
1. @tombfinance's $TOMB lost peg and here is my take on the issues. I won't take the taxation exploit or FUD into the account. I still believe that even without that, at some point it had to happen.
2. If you watched my video about @tombfinance, in the last 2 mins i told about my concerns about the protocol. This model has never worked to this day. Tomb devs had some ideas about how to achieve peg with launchpad or taxation, but didn't convince me.

3. Let's try to understand why it's not gonna work in the long run.

So there are 3 tokens in the protocol. $TOMB $TSHARE and $TBOND.

TOMB is supposed to be pegged to $ftm, this protocol chose to go this way instead of $USD.
Read 10 tweets
27 Jun 21
1. Sorbetto Fragola of @PopsicleFinance is out!

A lot of people are asking me about how it works, so decided to write a thread about it! I'll try to explain as easy as i can!

Let's start!

$ICE
2. As many of you know, @Uniswap launched its v3 solution around 3 months ago. The difference between v2 and v3 is basically "concentrated liquidity".

v2 was easy to understand, easy to use as it uses x*y=k formula. But there is a problem with that, it's inefficient.
3. In v2, the liquidity is same around all price ranges. But why should i provide liquidity for 2M$ for ETH when the price is 2000$?

And can we really fight the old school orderbook trading with this approach?
Read 12 tweets
14 Mar 21
1. Hello all! @FantomFDN made a presentation on UN, for ITU (International Telecommunication Union), and this is just a guess but it was also probably about smart cities.

This is going to be a thread about how this can work in real life for traffic! Let's start!

$ftm Image
2. People living in big cities know that traffic is a huge problem. When there is an intersection, we put traffic signs/lights in order to avoid collusions.

In a 4-leg intersection, there are 32 conflict points. Image
3. The more conflict points there are, the more waiting time in signalized intersection.

But don't forget that traffic lights are just a communication language for the drivers, and the language has only 3 sentences.

🔴 Don't go
🟡 Almost Ready
🟢 You can go
Read 14 tweets
7 Mar 21
1. I previously wrote about how to use #NFTs in real life, let's expand it a little bit! Let's use the same #RealEstate example, but it can apply to many many more ideas!

$ftm
2. So we have oracles like @chainlink or @BandProtocol , so we can get the price of the real estate from them.

Let's say our house is worth 1.000.000$ worth for now, and let's say we own %100 of the house. And our kid wants to go to college.
3. College payment is 50.000$/year. And we don't want to sell our house. Instead, we want to take a loan from the bank.

FROM @AaveAave !
Read 9 tweets

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