In a bull market, valuations can be hyped up and irrational and it is hard to determine value against two different tokens of the same industry.
But in a bear market, it is easier to tell which protocols are doing well and which is doing poorly based on how they deliver their roadmap and how much traction they are getting. Hence, it is a lot easier to compare and trade relative value.
This is known as spread trading, or relative value trading. One example of this is where a trader simultaneously longs an asset, and shorts an asset that he perceives as weaker. In this article, we will go through 2 recent examples of spread trading.
We usually start off by picking a category, next we curate a list of protocols in that category that are constantly pushing updates, announcing partnerships, engaging their community, and generally growing.
Then we curate another list of protocols that are slow to update, not driving as much engagement, and generally not growing much.
Now we can compare the price action of a fast growing protocol against a slower growing protocol on a chart and see if there is a clear trend.
ETH vs BTC:
Using ETH as an example, after Ethereum developers said that they targeted September 19 to be the date of the Eth Merge, $ETH prices started to break above the previous resistance against USD and BTC.
Seeing that this could be a narrative that others would latch onto, a trader could long ETH and short BTC to hedge against the broader market risk if he believes that ETH would outperform due to the development of this major update.
This would have made for a good trade idea, netting 10-20% gains in a week depending on where the profit was taken.
However, shorting other assets with a beta that is higher than ETH, such as other large market cap layer 1s like AVAX or MATIC or SOL, would have yielded significantly poorer returns.
Beta (β) is a measure of the volatility of a security or portfolio compared to the market as a whole (usually the S&P 500, or in our case, we use $BTC as a proxy).
Hence, understanding the relationship between assets, especially their beta, is highly important when doing spread trades. It is preferred to hedge with something of similar or lower beta.
Layer 1 example:
Using the layer 1 space as an example, we noticed that Polygon ($MATIC) has been constantly announcing big partnerships and updates such as native $USDT and $USDC, eBay NFT collection, carbon neutral, Robinhood support, their partnership with Disney, and more ZK announcements.
Comparing their price with the average of the top layer 1 chains (in this case we used $ADA, $SOL, $ATOM, $DOT, $AVAX, $BNB, $ETH), you can see a clear uptrend for $MATIC since they started their announcement in June 2022.
Noticing the big announcements early on and being one of the first L1 token to retest its key support and not go back down to its lows, a trader could see this as a sign of strength amidst the L1 tokens and explore the idea of a spread trade.
Reminder: A spread trade is a more cautious way of longing a certain asset in the face of a poor market environment by hedging it with a short on a similar asset.
This can be done by going long on $MATIC, and for simplicity, going short on any of the L1 token that the trader deems is weaker or has less updates.
For example, on June 23, Harmony ($ONE) announced that their bridge got exploited and their price started to go down. Under such circumstances, it might make sense to enter into a long MATIC and short ONE spread trade.
If the market performs well, $MATIC increase in price should outperform $ONE, and if the market performs poorly, $ONE's decrease in price may be more severe than MATIC due to worsening sentiments in the Harmony ecosystem.
If a trader were to take that trade, they would be up 55% from the date of the hack.
Alternatively, if a clear short opportunity does not arise, one could simply short the 'market', in this case it can be either $BTC or $ETH.
The charts can be found by typing the following onto TradingView.
However, there are two main downside to this strategy. The first is that you may get your picks wrong, and you end up losing money either one way, or worse, both ways. For example in the MATIC/ETH spread trade, Polygon could have some negative news and $MATIC price goes down, while Ethereum has positive news about the merge, and $ETH price goes up. The second being your profits may be reduced when you are shorting the broader market as a hedge, compared to outright longing an asset.
Another example could be to long $ETH and short $BTC as a spread trade whenever there's good news around the Ethereum Merge.
Borrowing and lending category example:
Now let's explore another category, borrowing and lending.
On 7 July, Aave announced $GHO stablecoin, a collateralized debt position (CDP) stablecoin, very similar to MakerDAO's DAI.
This means that $AAVE is effectively taking market share away from $MKR by launching a similar product as them. Let's take a look at the price action to see if our bias is right.
Looking at the price chart, we see AAVE started to outperform MKR on the initial announcement, proving that the market agrees with the thesis. Holding onto the trade would have AAVE outperform MKR by a whopping 50%.
Not a bad return in a bear market.
Spread trades enable experienced traders / analyst / investors to hedge against market risk and can still make money longing assets you believe in, even in a down-only market.
It can even be more profitable than regular trading, especially if you are a good picker. But that is of course easier said than done.
It is very important to understand the fundamentals around the token pairs you've picked for your spread trade and have proper risk management, with stop losses in placed for both sides of your trade to maximize your risk/returns ratio.
Always stay updated with the latest news and be nimble, adjusting your strategy if something, be it news or price action, invalidates your thesis.
If you're interested in other popular trading strategies, check out our guide on 3 Popular Crypto Trading Strategies. Remember to never trade with more than what you can afford to lose!
Not financial advice
The information and publications are not intended to be and do not constitute financial advice, investment advice, trading advice or any other advice or recommendation of any sort offered or endorsed by Switcheo. Switcheo does not take into account your personal investment objectives, specific investment goals, specific needs or financial situation and makes no representation and assumes no liability to the accuracy or completeness of the information provided here. Switcheo also does not warrant that such information and publications are accurate, up to date or applicable to the circumstances of any particular case.
About Switcheo Labs
Switcheo Labs is a creative, experimental think-tank and software development house that focuses on forming the foundations of a new decentralized world. Founded in 2018, Switcheo was born out of a simple desire to make finance accessible and trust optional, to give control and power back to users.
With this goal in mind, the team developed a blockchain solution where finance is truly censorship-resistant and decentralized — Carbon, a custom Layer 2 cross-chain protocol that acts as a building block for DeFi. A promising use case for Carbon is seen in Demex, a reference trading UI for Carbon and the world’s first fully decentralized derivatives platform.
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