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Target: Make simulation profit results as close to reality as possible
Issue:
On high level, simulation profit using backtracking is not accurate and hard to trust.
Currently when calculating the predictoor bot profit using simulations, the profit depends on a few variables which currently are mocked, which means they don't follow the other predictoors changes(stake, accuracy).
Calibrating this variables is difficult because we don't have enough visibility in the current predictoors data.
Solution:
Use the new subgraph data provided through LAKE ETL to follow the real prediction data from the past inside simulations.
With the following changes we can achieve a more accurate, up to date predictoor profit metric:
Update simulation flow to fetch the required prediction data
Get and prepare the data to be used by the simulation flow
For each simulation step( epoch ) calculate the predictoor profit using the calculated predicted value agains other predictoors predictions
Update the UI with useful data that could help to calibrate the predictoor config towards making more money ( ex: display avg stake per epoch, display average accuray among predictoors etc)
The text was updated successfully, but these errors were encountered:
Target:
Make simulation profit results as close to reality as possible
Issue:
On high level, simulation profit using backtracking is not accurate and hard to trust.
Solution:
Use the new subgraph data provided through LAKE ETL to follow the real prediction data from the past inside simulations.
With the following changes we can achieve a more accurate, up to date predictoor profit metric:
The text was updated successfully, but these errors were encountered: