henrio123
commented
1 year ago @codingki @joshuanatanielnm Text change-
Change marked text from "How it works" section to:
Actual portfolio allocation will appear different than our targeted portfolio as a result of the rate of allocation over time. This rate of change is another optimized parameter from our previous step.
Pre-Launch view:
Additionally- Launch date counter Signup button
And not showing before the launch date- Buy/Sell button View Details button TVL APY since inception Rewards APY
Add "Notify me" button Add same function like here: https://github.com/strangelove-ventures/sommelier/issues/636
All other details like below-
Launch view:
Launch date: May 10, 2023. 3 pm UTC
Strategy contract (live): https://etherscan.io/address/0x03df2A53Cbed19B824347D6a45d09016C2D1676a
Staking contract (live): https://etherscan.io/address/0x0349B3c56aDB9E39b5d75fc1df52eEE313dD80D1
Staking/bonding periods and multipliers: 10 days 1.1x somm , 14days 1.2x somm, 20 days 1.25x somm
Strategy provider name: AlgoLab
Strategy provider website: https://beta.algolab.ro/
Strategy provider token logo: https://github.com/strangelove-ventures/sommelier/issues/1015
Uniswap token link (can be empty):
Token price (Yes/No): Yes
1D Change (Yes/No): Yes
APY - (Yes - static/real time/since inception or No): No
Ticker name: STARS
Traded Assets: COMP, CRV, LDO, MKR, AAVE, USDC
Alternative to: DPI
Rewards End Date: June9, 2023
Rewards Multipliers: Shares receive a 10% boost by locking for 7 days, a 30% boost for locking for 14 days, and a 50% boost for locking for 21 days.
Strategy Headline: A long-only approach with established DeFi assets and derivatives tokens during the uptrend market periods. React quickly to market changes by managing downtrends.
Strategy Highlights: Maximum capital growth preference, well suited for portfolios with an initial basket of MKR, AAVE, COMP, LDO, CRV, and USDC.
Carefully balanced asset allocation targets based on our custom trend indicator. Individual asset volatility and risk aversion management.
Automatic order size and execution frequency to improve trend reaction while reducing fees and slippage.
Strategy Description: The vault provides users with a strategy to achieve strong growth in their portfolio by focusing only on high-cap assets that offer significant rewards in a future with simplified DeFi adoption. The vault's initial portfolio includes MKR, AAVE, COMP, LDO, CRV as speculative tokens and USDC as a base asset, with a default portfolio distribution of 50% USDC to reduce risk and capture later opportunities.
To evaluate the effectiveness of the proposed strategy, we compare the portfolio's performance against a benchmark scenario of holding assets with no stop plans for price or with no stop plans for price levels and time periods. We evaluate the strategy using Return on Equity (ROE), Maximum Drawdown (MDD), and Sharpe ratio, which is a popular indicator for portfolio tracking.
Overall, DeFi Stars provides a disciplined and diversified exposure to the DeFi sector, helping users manage downside volatility and optimize returns over time. The rebalancing strategy offers a significant improvement over the benchmark scenario and can help users achieve their goals.
How it works: Continuously monitoring high-cap DeFi assets and derivatives tokens for performance/capitalization changes allows us to obtain the best portfolio diversification for our strategy. Our strategy will have an initial best 5 assets and a stablecoin.
The vault reacts quickly to market changes by capturing upside breakouts and managing downtrends. It also utilizes a long-only approach in established DeFi assets during markup periods.
Our system is running parallel backtesting using machine learning algorithms to determine the most optimized parameters to use for the trend indicators, allocation range buffers, and dynamic stop loss.
Trend detection is based on a custom indicator set by optimized parameters. The trend is used to determine the direction for portfolio rebalancing for each asset.
Actual portfolio allocation will appear different than our targeted portfolio as a result of the allocation speed of change over time. This speed of change is another optimized parameter from our previous step.
Gas fees will be inferred and monitored, and based on our current TVL, we will run periodic opportunistic decisions to decide if and when to execute rebalancing swaps transactions inside our vault.
Notify me button (Yes/No): Yes
Backtesting data(No/ Yes - data):