YT - Efficient Reward & Yield Farming on Storm
Last updated
Last updated
FIVA's YT tokens for Storm vaults provide exceptional capital efficiency for capturing yields and rewards. This powerful tool allows you to participate in Storm's ecosystem with significantly less capital than direct deposits.
Farm Storm rewards up to 50x more efficiently with YT tokens:
Standard approach: $20 in Storm vaults = 1 RP daily
FIVA approach: $0.40 in YT tokens = 1 RP daily
This means $100 in YT tokens could earn you approximately 250 RP daily instead of just 5 RP through direct deposits.
YT tokens also give you leveraged exposure to Storm's vault performance, so you benefit even more when trading fees increase. This dual advantage makes YT tokens the most efficient way to participate in Storm's current Season 2 rewards program.
Step 1: Access the Market
Navigate to FIVA's Markets section
Select the Storm vault YT tokens (USDT-SLP, TON-SLP, or NOT-SLP)
Review current multipliers and token pricing
Step 2: Purchase YT Tokens
Enter the amount you want to invest
Review the effective exposure you'll receive
Execute the swap to acquire YT tokens
Step 3: Track Your Position
Visit your Dashboard to monitor your position
Your Storm rewards accumulate automatically
YT tokens capture yield changes in the underlying vault
Step 4: Exit (Optional) To stop farming, simply sell your YT tokens back to the market through the same interface.
Market Risk: YT token prices fluctuate based on Storm vault performance expectations
Smart Contract Risk: Position involves both FIVA and Storm smart contracts
Protocol Risk: Changes to Storm's reward system could affect future returns
YT tokens for Storm vaults represent a capital-efficient way to participate in perpetual trading yields. This approach is particularly valuable when Storm announces new incentives or during periods of high market volatility that could increase trading fees.
The ability to farm Storm rewards with minimal capital commitment makes YT tokens an attractive option for users looking to optimize their TON ecosystem exposure without deploying excessive resources.