A customizable automated DLMM & DAMM Farmer on Solana.
Create an LP (Liquidity Provision) strategy and earn fees from memecoins and bluechips - for free.
VortexBot Update:
- Added fastExit strategy setting. With fastExit enabled, the bot will leave positions faster (for example if current token doesn't pass filters anymore, or if a better token has been found).
- Changed isDAMM mode. When isDAMM is enabled, the bot will open DAMM positions instead of DLMM. isDAMM is now fully automated, just like the regular DLMM mode
- Docs page have been updated
- Retrained ML token ranking model with latest dataset. This should improve sortMode: 2.
- Updated Strategy Presets: Removed all except Balanced Preset. Balanced preset has been updated - it's one-sided, 50% range, auto-rebalance strategy that has been performing very well recently
- Staggered Positions has been removed (Poor implementation, may be added again later)
- Leaders Signal Mode has been removed
I trained a ML model on @solana memecoin data to help predict LP returns.
Results are quite interesting.
- APR is the most important metric, as expected
- Jup Organic Score is highly correlated with LP returns
- Percent drop from ATH is important
- Day of week and Time of day are also important
The ML model will get implemented in VortexBot soon for smarter Token and Pool selection and better @MeteoraAG DLMM farming!
The new auto rebalance feature in VortexBot is live β‘
- Configurable rebalance threshold
- Fully automated
- Super fast
- Rebalance as often as every 30 seconds
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@SwannyDeFi@met_lparmy It's not that simple. The range needs to be set according to the tokens specific price action and volatility.
If you always set a wide range, you will not make enough fees to make up for the losses when price goes out of range.
@Sora_i_guess Impermanent loss.
Liquidity provision is not as simple as you make it sound.
Uniswap released stats a while ago showing that most LP's lose money on average.
Without hedging, a blind LP strategy will lose on average.
Unfortunately there's no free lunch.