You can track the performance of a tokenslice over time to see how it would perform in real-world trading conditions, and see how its performance changed over time.
A tokenslice's performance can be viewed with a variety of trade sizes, exit conditions, and time windows.
Click the Performance & Hits tab on your tokenslice's page. This simulates the performance of a trading strategy that buys a token when it first matches the slice's filters and sells it under criteria you choose (e.g., when it hits 3x profit):
Setting the trade size
Use the trade size dropdown to indicate the size of the trade for each token that will be simulated. This is important because larger trades result in more slippage, which can eat into a strategy's profits, especially for tokens with very low liquidity. Smaller trade sizes generally result in less slippage, but it's useful to set the simulated trade size to an amount similar to the sizes you actually trade with.
Setting the exit condition
As stated, performance is based on buying the token immediately when it matches the slice conditions, but there are a number of options for simulating sells with the exit strategy dropdown. Here are a few of the possibilities, to give you an idea how they work:
Current price: simulates holding all tokens until the present time
Best possible exit: simulates selling each token at the highest price it reached since it matched the slice
TP10x / 1d: simulates selling tokens when either: (a) their price increased 10x from when they first matched the slice, (b) a day has passed
TP100x / 1d: simulates selling tokens when either: (a) their price increased 100x from when they first matched the slice, (b) a week has passed
TP10x / SL20% / 1h: simulates selling tokens when: (a) their price increased 10x from when they first matched the slice, (b) their price dropped by 20%, (c) an hour has passed
TP3x / SL20% / 1M: simulates selling tokens when: (a) their price increased 3x from when they first matched the slice, (b) their price dropped by 20%, (c) a month has passed
Setting the time window
Use the time window dropdown to choose how much of a slice's history to consider. E.g., select "in last week" to only include tokens that first matched the tokenslice during the last week.
Performance won't include tokens that already matched the slice the instant it was created. Thus, when a slice is brand new there might not be any performance data, and it'll take some time for new tokens to match the filters you've chosen. As time passes you'll get a sense of the profit/loss and win ratio of the slice if you were executing trades based on it.
Note that all buys and sells are simulated with real onchain data, taking into account the actual state of liquidity pools at the moment a trade would have happened and thus accounting for price impact. This means that simulated performance will closely match real-world, onchain trading performance.
In addition to the overall performance of the slice, you can also see the individual performance of each token, including buy price and sell price.
