DeFi LPing is broken. @PositronFi wants to fix it
Most #LPs still guess where to park liquidity — chasing “highest APR” pools without realizing dozens of better options exist for the same pair (like $SOL – $USDC)
Each pool has different fees, tick spacing, and depth. Capital ends up stuck while better yields appear elsewhere
That’s where Positron comes in👇
@PositronFi will make your DeFi experience better
How? Instead of locking your liquidity in one pool, Positron spreads it dynamically across Solana venues like @orca_so, @Raydium, and @MeteoraAG
Your funds move automatically to where they earn the most
It treats Solana as one unified liquidity layer, routing LP capital to the best-performing pools in real time
Sounds nice! But how does it work?
It’s a bit on the technical side, but I’ll make it easy for you
Positron runs an optimization engine built around 4 steps:
Quality scoring → Band creation → Constraints → Optimization
Let’s break that down👇
Step 1: The Quality Function
Every tick in every pool gets a score Q(t,p) that measures how good that price point is for placing liquidity
- Q(t,p) is the quality of tick t in pool p
It factors in volume, fees, depth, volatility, and impermanent-loss risk
- High Q = high yield potential
It’s how Positron decides where each $1 of liquidity should go
Step 2: Bands (Price Ranges)
Ticks are grouped into bands, or small price ranges like $950–1050
Each band’s total score is calculated from the sum of all its tick qualities
Instead of scanning every tick manually, Positron uses prefix sums to compute band quality instantly — finding which ranges across pools perform best
Step 3: Band Constraints
To keep things efficient, Positron adds 3 key rules:
1️⃣ Minimum band size — no ultra-narrow ranges that exit too fast
2️⃣ Stabilization window — avoids volatile zones near the market price to limit impermanent loss
3️⃣ Edge slack — small flexibility at pool boundaries for smoother allocation
Together, these ensure LP capital isn’t wasted in unstable zones
Step 4: Optimization
Finally, Positron solves a best-combination optimization:
Out of all possible bands across all pools, pick the combination that maximizes total quality under a given “budget”
It uses Dynamic Programming (DP) to efficiently find the best mix of bands — meaning your liquidity is always placed where it can work hardest
For example, suppose we have two pools (A and B) with tick qualities:
- Tick 1: Q(A) = 2, Q(B) = 3
- Tick 2: Q(A) = 4, Q(B) = 2
- Tick 3: Q(A) = 1, Q(B) = 5
Then the quality scores are: A[1,2) = 6, A[2,3) = 5, B[1,2) = 5, B[2,3) = 7
If the budget K = 2, the best selection is A[1,2) (6) + B[2,3) (7) = 13 total quality, which represents the most efficient liquidity distribution under all rules
I’m bullish because this setup protects LPs
By avoiding high-volatility ranges, @PositronFi reduces slippage and impermanent loss
And with a 1% setup fee (no swap or yield fees), it stays LP-friendly while driving trading volume
Why it’s smart
@Uniswap V3 gave #LPs the freedom to set custom ranges
@PositronFi automates the entire process with a quantitative model
No manual management, no guessing games. Just optimized yield across @solana
@PositronFi is the first LP aggregator on @solana
Next up: advanced APR modeling and support for more venues — meaning even broader liquidity routing and higher efficiency
It’s still early, but if Solana #DeFi keeps scaling, this kind of optimization layer could quietly become the infrastructure behind it all
Looking forward to what’s coming from @srhposfi & @ademplabbers
Winter Soldier, out
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