Delegator
Last updated
Last updated
Delegators are responsible for delegating stake to training nodes and/ or validators.
Reward for the delegator depends on:
quality of the training nodes/ validators selected, as measured by the scores/ ranks training nodes/ validators received based on the quality of their work
amount of stake delegator delegated
If we consider to the the rewards distributed to training nodes and their delegators as explained here, then the reward for delegator to this given training node is:
Here, refers to the amount the delegator delegated to the given training node, whereas is the stake amount from the same training node.
Similarly, if a delegator delegated FLCOK to a validator, the reward for this delegator is:
Note that rewards in delegation pools are time-weighted to balance fairness for long-term participants and incentivize new delegations. As pools grow, rewards stabilize, promoting sustained engagement. Also, delegators must maintain their stake for at least 24 hours before un-delegating. This ensures meaningful contributions and prevents exploitative behaviors.
Here, refers to the rewards earned by validators and their delegators as explained here. is the delegated amount from delegator to this validator, whereas refers to the stake amount from the validator.
Note that in the front-end, you will see a “reward-sharing ratio”, which refers to , which means when reward-sharing ratio is 60%, is 0.4. This ratio is set by training nodes and validators permissionlessly.
Let's assume rewards for a given training node and its delegator ( is 58,084, to be 4, the training node stakes 3,000 and the delegator delegate 1,000. The reward for the delegator alone (excluding that to the training node) is:
Parameters like reward splits ( ) are fine-tuned through DAO voting. This democratized control keeps the ecosystem adaptive and equitable.