Recently, I wrote about how I like the Fantom ecosystem, and how I'm bullish on $FTM.

One interesting farming opportunity in the Fantom ecosystem is @tombfinance.

If you own $FTM, here are some great strategies that can yield 1000-2000% APY.

👻 Explained below 👇
1/ Here's my post explaining why I find $FTM interesting:
2/ @tombfinance has a token called $TOMB, which is pegged to the value of $FTM.

The peg deviates quite a bit at times, but in the long run, it should trend towards the value of $FTM.

You might be wondering why one would need a token that’s pegged to the value of $FTM.
3/ Why not just use $FTM instead?

The general idea is to create a mirrored, liquid token that can be moved around and used for transfers and payments.

Since a lot of FTMs supply will likely be locked up in staking to secure the network.

See their explanation:
4/ The tomb ecosystem has 3 tokens:
$TOMB, $TBOND and $TSHARE.

$TOMB is pegged to FTM, and the other two exist to help maintain that peg through incentives.

So how does the TOMB peg algorithm work? 👇
5/ Case 1: $TOMB > $FTM:
- The protocol mints $TOMB and distributes it to $TSHARE holders.

Case 2: $TOMB < $FTM:
- You can buy $TBOND by burning TOMB.
- Then in the future, when TOMB > FTM, then you can redeem TOMB using TBONDs

Case 2 is a bit confusing. Here’s an example:
6/ Suppose TOMB = 0.8 FTM currently. You know that eventually it will go back to being >1 FTM.

So you could benefit from this in 2 ways:

Method #1
1. Buy TOMB at 0.8 FTM
2. Wait
3. Sell TOMB at 1.15 FTM

Profit = 1.15 - 0.8 = 0.35 FTM (~43%)
7/ Method #2 (from docs):

1. When TOMB = 0.8, burn 1 TOMB to get 1 TBOND

2. When TOMB = 1.15, redeem 1 TBOND to get 1.105 TOMB

In the example above, you spend 0.8 FTM, but when you redeem your TBOND, you get back 1.15 * 1.105 = 1.27 FTM.

Profit = 0.47 FTM (~58%).
8/ Clearly method 2 has a higher ROI, which incentivizes people to buy $TBOND and this should help stabilize the peg.

tl;dr: when the peg is below (TOMB < FTM) you should buy TBONDs.

Now let’s discuss some strategies in the TOMB ecosystem that you can use to profit.. 💰
9/ Strategy #1: $TOMB - $FTM LP + farm LP tokens (500-1000% APY)

1. Buy TOMB on SpookySwap

2. Provide liquidity to the TOMB-FTM pool

3. Go to Tomb “Cemetery” & stake your TOMB-FTM LP tokens. You will earn TSHARE (~200% APR)

4. Stake these TSHARE in the “Masonry” (~200% APR)
10/ Strategy #2: $TOMB - $FTM LP + autocompounder (500-1000% APY)

This is like #1, except simpler + it will auto-compound.

1. Buy TOMB on SpookySwap

2. Provide liquidity to TOMB-FTM pool

3. Deposit TOMB-FTM LP tokens to an auto compounder like @beefyfinance.
11/ Strategy #3: Delta neutral farming (400%+ APY)

Same as strategy 2, but you also short FTM for an equivalent amount.

This is a great strategy if you don't want exposure to $FTM price.

I wrote about this one here:
12/ Strategy #4: Arbitrage the $FTM - $TOMB peg

(opportunistic, variable returns)

1. When TOMB < FTM, Buy TBOND

2. When TOMB > FTM, Redeem TBOND, purchase and stake TSHARE.

I explained the mechanics of this above.
13/ Strategy #5: TSHARE-FTM LP + Farm (1,900% APY)

Higher APY, but $TSHARE is riskier than $TOMB.

1. Buy TSHARE on SpookySwap

2. Provide liquidity to the $TSHARE - $FTM LP

3. Deposit the TSHARE-FTM LP tokens to @beefyfinance (auto-compound)

You can also do step 3 manually.
14/

I found the $TOMB mechanics pretty complicated initially, but it's a good farming opportunity if you're bullish on $FTM.

I felt there wasn't a clear, simple explanation for it so I tried my best to do that here.

If this helped, please like / RT - help a farmer out 🌽
15/ I write daily threads about #DeFi and #Crypto protocols, strategies and concepts.

Follow along in my DeFi journey, and let me know what you're interested in learning more about!

#WAGMI

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More from @shivsakhuja

22 Dec
Ever tried to provide liquidity to a #DeFi protocol?

If not, you're missing out on some great yields on your #crypto.

In this post, I'll explain:

- How does a DEX / AMM work?

- What is a liquidity provider?

- Impermanent Loss / Tools

- Good LP opportunities right now 👇 🧶
1/

Decentralized exchanges like Uniswap, Sushiswap, TerraSwap are called automated market makers (AMM).

A traditional order-book exchange (think NYSE) will match a buy order with a sell order to facilitate a trade.

A decentralized exchange or DEX works a bit differently
2/

A DEX has 2 types of participants: the trader, and the liquidity provider.

The liquidity provider puts up an equal amount of both assets. (For example, $ETH and $USDC).

This "liquidity" provided allows traders to trade freely and automatically between the 2 assets.
Read 20 tweets
19 Dec
The $LUNA - $bLUNA Slow Burn:

Here’s another way to make some more $LUNA. (18-65% APY)

APR has gone down recently, but it fluctuates.

LUNA OGs will know about this one, but it's very low risk and an easy strategy for newcomers 🌖 🧶 👇 Image
1/ First, if you're not bullish on $LUNA long term, read this thread about the Terra ecosystem (and the linked threads).

2/ Now that you understand the Terra ecosystem, you should be sufficiently desperate to stack more $LUNA.

A couple days ago, I wrote about a strategy to get cheap bLUNA.



But that strategy relies on unpredictable dips that liquidate borrowers.
Read 9 tweets
18 Dec
20% on stablecoins too tame for you?

How about 487% with no price exposure to #crypto?

Ever heard of market neutral strategies?

These can make money whether the market goes up or down..

Here's how they work, and some good one to get started with in #DeFi 👇 🧶

$BTC $ETH
1/ A market neutral strategy is one in which your ROI is independent of the price of the asset.

Typically, this involves taking a long and a short position on an asset.

⬆ long position = betting on the price going up.

⬇ short position = betting on the price going down.
2/ Consider this:

- You take a $50 long position on coin A
- You take a $50 short position on coin A

You now have a $100 market-neutral position.

But if you're long and short , where's the damn return coming from?!
Read 12 tweets
17 Dec
Here’s an infographic that shows the estimated size of various asset classes.

Crypto is only $2.5T

All these assets combined are > $500T.

Most of these assets will get tokenized over the next decade or two, and the protocols that tokenize them will capture a lot of that value. Image
1/ Why would we want to tokenize assets like stocks?

– Globally accessible, tradeable 24/7/365
– Transparency
– Verifiable ownership (unlocks doors like voting / rewards)
– Programmable asset is infinitely more useful (collateral, derivatives, automation, direct transfers, etc)
2/ Why tokenize real-estate?

– Fractionalized investing
– Globally accessible, tradeable 24/7/365
– Diversification through bundling
– Add liquidity to illiquid market
– Reduced friction of transactions
– Plug into smart contracts to collateralize, create derivatives, etc
Read 6 tweets
16 Dec
Here’s a DeFi strategy to stack more $LUNA

Low risk if you play it right.

I previously explained how to use @TeamKujira’s Orca protocol to get crypto at cheaper-than-market prices.

In this thread, I explain how you can loop that process to amplify your returns 🧵 👇
1/ For reference, here's the thread on how you can get cheap crypto using Kujira's Orca protocol:



Keep reading for the looping strategy that can boost your $LUNA stack.. ➿
2/ Here are the steps:

1. Bond $LUNA for bLUNA on @anchor_protocol

2. Deposit bLUNA as collateral on Anchor

3. Borrow $UST from Anchor (***)

4. Use borrowed $UST to snipe cheap $bLUNA on Orca

5. Withdraw bLUNA from Orca, and repeat steps 2-4 to increase your LUNA stack.
Read 8 tweets
16 Dec
I wanted to see how some of the OG cryptocurrencies performed over the years, so I found some data on @CoinMarketCap and made infographics.

Comment below if there's any #cryptographics you'd like to see in the future!

I just need an excuse to make infographics 😆

Like / RT! ImageImageImageImage
Data was measured for mid-december each year using @CoinMarketCap's history tool.

Annualized returns for each currency were as follows:

- $BTC: 119%
- $ETH: 302%
- $DOGE: 228%
- $LTC: 87%
- $XRP: 113%
Price History measured for Bitcoin $BTC (mid-december):

2015 $ 433.75
2016 $ 790.53
2017 $ 19,140.76
2018 $ 3,252.84
2019 $ 7,152.30
2020 $ 19,142.38
2021 $ 48,336.48 Image
Read 7 tweets

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