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What is impermanent loss?

The risks in Liquidity Provide

Explanation

Consider the case where a liquidity provider adds 10,000 TLM and 100 WAX to a pool (for a total value of $20,000), the liquidity pool is now 100,000 TLM and 1,000 WAX in total. Because the amount supplied is equal to 10% of the total liquidity, the contract mints and sends the market maker “liquidity tokens” which entitle them to 10% of the liquidity available in the pool. These are not speculative tokens to be traded. They are merely an accounting or bookkeeping tool to keep track of how much the liquidity providers are owed. If others subsequently add/withdraw coins, new liquidity tokens are minted/burned such that everyone’s relative percentage share of the liquidity pool remains the same.

What happens to the liquidity provider? The contract reflects something closer to 122,400 TLM and 817 WAX (to check these numbers are accurate, 122,400 * 817 = 100,000,000 (our constant product) and 122,400 / 817 = 150, our new price). Withdrawing the 10% that we are entitled to would now yield 12,240 TLM and 81.7 WAX. The total market value here is $24,500. Roughly $500 worth of profit was missed out on as a result of the market making.

Why is my liquidity worth less than I put in?

To understand why the value of a liquidity provider’s stake can go down despite income from fees, we need to look a bit more closely at the formula used by Alcor to govern trading. The formula really is very simple. If we neglect trading fees, we have the following:

`wax_liquidity_pool * token_liquidity_pool = constant_product`

In other words, the number of tokens a trader receives for their WAX and vice versa is calculated such that after the trade, the product of the two liquidity pools is the same as it was before the trade. The consequence of this formula is that for trades which are very small in value compared to the size of the liquidity pool we have:

`wax_price = token_liquidity_pool / wax_liquidity_pool`

Combining these two equations, we can work out the size of each liquidity pool at any given price, assuming constant total liquidity:

`wax_liquidity_pool = sqrt(constant_product / wax_price)`

`token_liquidity_pool = sqrt(constant_product * wax_price)`

So let’s look at the impact of a price change on a liquidity provider. To keep things simple, let’s imagine our liquidity provider supplies 1 WAX and 100 TLM to the Alcor TLM exchange, giving them 1% of a liquidity pool which contains 100 WAX and 10,000 TLM. This implies a price of 1 WAX = 100 TLM. Still neglecting fees, let’s imagine that after some trading, the price has changed; 1 WAX is now worth 120 TLM. What is the new value of the liquidity provider’s stake? Plugging the numbers into the formulae above, we have:

`wax_liquidity_pool = 91.2871`

`tlm_liquidity_pool = 10954.4511`

“Since our liquidity provider has 1% of the liquidity tokens, this means they can now claim 0.9129 WAX and 109.54 TLM from the liquidity pool. But since TLM is approximately equivalent to USD, we might prefer to convert the entire amount into TLM to understand the overall impact of the price change. At the current price then, our liquidity is worth a total of 219.09 TLM. What if the liquidity provider had just held onto their original 1 WAX and 100 TLM? Well, now we can easily see that, at the new price, the total value would be 220 TLM. So our liquidity provider lost out by 0.91 TLM by providing liquidity to Alcor instead of just holding onto their initial WAX and TLM.”

“Of course, if the price were to return to the same value as when the liquidity provider added their liquidity, this loss would disappear. **For this reason, we can call it an **impermanent loss**.** Using the equations above, we can derive a formula for the size of the impermanent loss in terms of the price ratio between when liquidity was supplied and now. We get the following:”

- ”
`impermanent_loss = 2 * sqrt(price_ratio) / (1+price_ratio) — 1`

” - “Which we can plot out to get a general sense of the scale of the impermanent loss at different price ratios:”

- “Or to put it another way:”
- “a 1.25x price change results in a 0.6% loss relative to HODL”
- “a 1.50x price change results in a 2.0% loss relative to HODL”
- “a 1.75x price change results in a 3.8% loss relative to HODL”
- “a 2x price change results in a 5.7% loss relative to HODL”
- “a 3x price change results in a 13.4% loss relative to HODL”
- “a 4x price change results in a 20.0% loss relative to HODL”
- “a 5x price change results in a 25.5% loss relative to HODL”

- “N.B. The loss is the same whichever direction the price change occurs in (i.e. a doubling in price results in the same loss as a halving).” —>

Last modified 9mo ago

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