Rewards Streaming
Rewards Streamer
The rewardIndex is a crucial part of the reward distribution mechanism.
It represents the accumulated rewards per staked token since the beginning of the contract's operation.
Here's how it works:
- Initial state: When the contract starts, rewardIndex is 0.
- Whenever new rewards are added to the contract (detected in updateRewardIndex()), the rewardIndex increases. The
increase is calculated as:
rewardIndex += (newRewards * SCALE_FACTOR) / totalStaked
This calculation distributes
the new rewards evenly across all staked tokens.
- Each user has their own userRewardIndex, which represents the global rewardIndex at the time of their last
interaction (stake, unstake, or reward claim).
- When a user wants to claim rewards, we calculate the difference between the current rewardIndex and the user's
userRewardIndex, multiply it by their staked balance, and divide by SCALE_FACTOR
- After a user stakes, unstakes, or claims rewards, their userRewardIndex is updated to the current global rewardIndex.
This "resets" their reward accumulation for the next period.
Instead of updating each user's rewards every time new rewards are added, we only need to update a single global
variable (rewardIndex).
We don't need to assign Rewards to epochs, so we don't need to finalize Rewords for each epoch and each user.
User-specific calculations are done only when a user interacts with the contract.
SCALE_FACTOR
is used to maintain precision in calculations.
Rewards Streamer Example
Initial setup:
- rewardIndex: 0
- accountedRewards: 0
- Rewards in contract: 0
T1: Alice stakes 10 tokens
- Alice's userRewardIndex: 0
- Alice's staked tokens: 10
- totalStaked: 10 tokens
T2: Bob stakes 30 tokens
- Alice's userRewardIndex: 0
- Bob's userRewardIndex: 0
- Alice's staked tokens: 10
- Bob's staked tokens: 30
- totalStaked: 40 tokens
T3: 1000 Rewards arrive
New rewardIndex calculation:
- newRewards = 1000
- rewardIndex increase = 1000 / 40 = 25
- rewardIndex = 0 + 25 = 25
- accountedRewards: 1000
- Rewards in contract: 1000
Potential Rewards for Alice and Bob:
For Alice:
- Staked amount: 10 tokens
- Potential Rewards: 10 * (25 - 0) = 250
For Bob:
- Staked amount: 30 tokens
- Potential Rewards: 30 * (25 - 0) = 750
T4: Alice withdraws her stake and Rewards
Alice's withdrawal:
- tokens returned: 10
- Rewards: 250
Update state:
- totalStaked = 40 - 10 = 30 tokens
- Rewards in contract = 1000 - 250 = 750
T5: Charlie stakes 30 tokens
- Charlie's userRewardIndex: 25
- totalStaked = 30 + 30 = 60 tokens
T6: Another 1000 Rewards arrive
New rewardIndex calculation:
- newRewards = 1000
- rewardIndex increase = 1000 / 60 = 16.67
- new rewardIndex = 25 + 16.67 = 41.67
- accountedRewards: 1000 + 1000 = 2000
- Rewards in contract = 750 + 1000 = 1750
Rewards for Bob and Charlie:
For Bob:
- Staked amount: 30 tokens
- Potential Rewards: 30 * (41.67 - 0) = 1250.1 // rounding error
- In bucket 1: 30 * (25 - 0) = 750
- In bucket 2: 30 * (16.67 - 0) = 500.1
- Total of b1 + b2: 750 + 500.1 = 1250.1
- Which is equal to
- 30 * ( (25 - 0) + (41.67 - 25) )
For Charlie:
- Staked amount: 30 tokens
- Potential Rewards: 30 * (41.67 - 25) = 500.1 // rounding error
If Bob and Charlie were to withdraw now:
Bob's withdrawal:
- tokens returned: 30
- Rewards: 1250.1
- Rewards in contract after Bob's withdrawal: 1750 - 1250.1 = 499.9
Charlie's withdrawal:
- tokens returned: 30
- Rewards: 499.9
- Rewards in contract after Charlie's withdrawal: 499.9 - 499.9 = 0
T7: Final state:
- Alice received: 10 tokens and 250 Rewards
- Bob received: 30 tokens and 1250.1 Rewards
- Charlie received: 30 tokens and 499.9 Rewards
- Total Rewards distributed: 2000 Rewards
- Rewards remaining in contract: 0
Rewards Streamer with Multiplier Points
TODO