Experimental pricing adapter
Pyth multi-asset pricing preview
Live Pyth market data is translated into target dollar values and target asset quantities for a weighted basket. The prototype is isolated from the current 1:1 MVP accounting model.
Stocklana Baskets turns weighted portfolios into transparent, programmable on-chain primitives with deterministic custody, fungible basket shares, pricing adapters, and Jupiter-powered execution.
Sample basket
1–10
Assets
PDA
Custody
Jupiter
Execution
How it works
Stocklana combines basket composition, target weights, custody, share issuance, allocation logic, and execution into a single programmable architecture on Solana.
Define a basket with up to 10 tokenized assets and target weights totaling 100%.
Deposit the basket input asset into deterministic protocol-controlled custody.
Receive fungible basket shares representing participation in the basket.
Preview weighted allocations and route execution through Jupiter using basket PDA authority.
Core MVP
The Stocklana MVP proves the core on-chain architecture required for programmable index baskets on Solana.
1–10 constituents with transparent target weights.
Dedicated fungible share mint controlled by the basket.
PDA-based custody and constituent vault architecture.
Tested minting and withdrawal lifecycle.
On-chain weighted allocation calculations.
CPI execution architecture using basket PDA authority.
Live prototypes
Stocklana keeps the basket primitive separate from pricing providers and asset platforms. These experiments show how the architecture can grow while the submitted MVP core stays stable.
Experimental pricing adapter
Live Pyth market data is translated into target dollar values and target asset quantities for a weighted basket. The prototype is isolated from the current 1:1 MVP accounting model.
Tokenized private markets
Stocklana combines weighted basket logic with PreStocks token prices, mark prices and real Solana mint addresses to model diversified on-chain pre-IPO exposure.
Architecture
The basket itself is the primitive. Composition, weights, custody structure, share issuance, allocation logic, and execution authority live inside the protocol architecture.
Pricing and execution layers can evolve independently, so Stocklana does not need to hard-code itself to one oracle, one asset platform, or one execution venue.
Core primitive
Stocklana Basket
Basket State
Composition + weights
Basket Shares
Fungible participation
Custody Vaults
Deterministic PDAs
Allocation Engine
Weighted target calculations
Pricing adapters
Execution layer
Roadmap
The MVP proves the core basket architecture. The next phases focus on economic correctness, automated portfolio maintenance, stronger execution controls, and a user-facing basket builder.
Basket creation, custody, shares, allocation logic, deposit/redemption and Jupiter CPI architecture.
Actual constituent balances × verified market prices → basket NAV and share price.
Detect allocation drift and calculate the trades required to restore target weights.
Production-grade execution with stronger slippage, MEV, settlement and safety controls.
A user-facing interface for creating, exploring and managing programmable baskets.
The bigger vision
As more equities, private-market assets, commodities, funds and other real-world assets move on-chain, users should not need to manage every asset individually.
Stocklana Baskets aims to provide the infrastructure for transparent, programmable portfolios that can be embedded across the Solana ecosystem.
Stocklana Baskets
Stocklana Baskets is currently in active prototype development.
Architecture
The basket itself is the primitive. Composition, weights, custody structure, share issuance, allocation logic, and execution authority live inside the protocol architecture.
Pricing and execution layers can evolve independently, so Stocklana does not need to hard-code itself to one oracle, one asset platform, or one execution venue.
Core primitive
Stocklana Basket
Basket State
Composition + weights
Basket Shares
Fungible participation
Custody Vaults
Deterministic PDAs
Allocation Engine
Weighted target calculations
Pricing adapters
Execution layer
Roadmap
The MVP proves the core basket architecture. The next phases focus on economic correctness, automated portfolio maintenance, stronger execution controls, and a user-facing basket builder.
Basket creation, custody, shares, allocation logic, deposit/redemption and Jupiter CPI architecture.
Actual constituent balances × verified market prices → basket NAV and share price.
Detect allocation drift and calculate the trades required to restore target weights.
Production-grade execution with stronger slippage, MEV, settlement and safety controls.
A user-facing interface for creating, exploring and managing programmable baskets.
The bigger vision
As more equities, private-market assets, commodities, funds and other real-world assets move on-chain, users should not need to manage every asset individually.
Stocklana Baskets aims to provide the infrastructure for transparent, programmable portfolios that can be embedded across the Solana ecosystem.
Stocklana Baskets
Stocklana Baskets is currently in active prototype development.