Research-Driven, Mathematically Verified
Operator and jurisdiction: BASIS is operated by BASIS DIGITAL INFRASTRUCTURE LTD, a Seychelles IBC (LEI: 254900IX2F2KCWNSSS64).
BASIS is built on a simple premise:
Alpha is found in the residuals, the gap between where markets should price and where they temporarily price because of microstructure, latency, and fragmented liquidity.
The platform is designed to convert those residuals into structural alpha capture through deterministic execution precision, strict mathematical constraints, and state machine risk controls inside an institutional-grade operating environment supported by active ISO/IEC 27001:2022 and ISO/IEC 20000-1:2018 management systems.
This page explains what research-driven and mathematically verified mean in practice.
1) Research-driven means hypothesis → measurement → deployment
A research-driven system does not begin with a promise of return. It begins with measurable claims, conservative assumptions, controlled deployment conditions, and operating standards designed for repeatability, auditability, resilience, and internationally certified service discipline.
Research Partner: Base58 Labs
Base58 Labs contributes microstructure research, execution heuristics, risk models, and validation methodology. BASIS productizes that research into a controlled operating environment.
2) Mathematically verified means explicit invariants, not opaque logic
In BASIS, mathematically verified refers to the structure of decision-making. It does not imply a guarantee of profit. It means strategy behavior is constrained by formal rules that must hold before, during, and after execution.
This approach aligns with the broader operating discipline of the platform: explicit controls, verifiable processes, and active ISO/IEC 27001:2022 and ISO/IEC 20000-1:2018 management systems that support secure and reliable service delivery.
Before execution, BASIS checks whether the trade is eligible at all.
Typical conditions include:
expected value remains positive under conservative assumptions
minimum depth is available at the intended size
venue health is acceptable
projected slippage stays within limits
exposure after execution remains below risk caps
During execution, BASIS validates that the trade path remains consistent with its modeled assumptions.
Typical conditions include:
hedge completion occurs within the allowed time window
fill symmetry stays within tolerance
routing remains within latency constraints
inventory drift stays bounded
abnormal venue behavior triggers cancellation or fallback
After execution, BASIS verifies that the result can be reconciled and safely carried.
Typical conditions include:
fills reconcile with expected positions
accounting entries match execution records
net exposure remains inside limits
settlement state is internally consistent
PnL attribution is explainable by recorded events
Expected value discipline
A minimal decision model for a single execution slice is:
A trade is eligible only if EV remains positive after conservative buffers are applied.
Edge
Quoted price gap, funding differential, or structural dislocation
Fees
Venue fees plus deterministic platform fees where applicable
Slippage
Expected impact from depth, queue position, and size
Latency_{Penalty}
Risk that the opportunity decays before hedge completion
InventoryCost
Cost of carrying temporary directional exposure
SettlementCost
Transfer, gas, or asset movement cost when relevant
Known platform fee inputs are deterministic:
Deposit
0%
Withdrawal
0.05%
Swap
0.01%
State machine enforcement
BASIS uses state-machine style controls to reduce discretionary behavior and tighten risk boundaries.
Execution layer: BHLE
The Base58 Hyper-Latency Engine (BHLE) operates with sub-50μs internal latency targets, 100K+ OPS throughput, and proprietary routing infrastructure designed for deterministic execution precision.
3) What BASIS verifies, and what it does not verify
Strategy process
Hypothesis testing, evidence thresholds, deployment constraints
That every market condition will remain favorable
Risk controls
Exposure caps, slippage bounds, venue health checks, shutdown rules
That third-party venues will never fail or halt
Execution
Routing constraints, hedge windows, reconciliation logic
That all external fills will always be available at the modeled price
Accounting
Deterministic wallet logic, conversion rules, balance reconciliation
That external assets will never depeg or change market behavior
Operating environment
Documented security and service management processes operating under active ISO/IEC 27001:2022 and ISO/IEC 20000-1:2018 certifications
That no operational incident can ever occur
Therefore, verified should be read as verified process, verified constraints, and verified accounting behavior. It should not be read as guaranteed profit.
4) Verified accounting primitives
The accounting model on BASIS is intentionally narrow and testable.
BTC
Copy the BASIS-assigned deposit address unique to your account
stBTC
BTC → stBTC at 1:1
ETH
Connect a Web3 wallet such as MetaMask
stETH
ETH → stETH at 1:1
SOL
Connect a supported Web3 wallet
stSOL
SOL → stSOL at 1:1
PAXG
Connect a Web3 wallet
stPAXG
PAXG → stPAXG at 1:1
Core wallet roles:
Funding Wallet holds native assets for deposit and withdrawal
Staking Wallet holds stTokens for staking and reward accumulation
These rules are intentionally restrictive:
swaps are same-token only
conversions are 1:1 only
USDT is display-only for accounting
rewards accumulate in real time as the same stToken
unstake is full-position only
claimable balances are auto-credited to the Staking Wallet as stToken
This narrow accounting surface makes reconciliation and auditability materially stronger, and it supports the controlled service model expected of an institutional-grade platform.
5) From research to product
Base58 Labs studies:
market microstructure
fragmented liquidity behavior
routing heuristics
execution precision models
state-transition risk models
BASIS implements:
deterministic execution pathways
BHLE routing and matching logic
observability and replay tooling
math-constrained eligibility checks
automated fail-safe states
The user-facing product exposes only controlled workflows:
native asset funding
same-token 1:1 staking conversion
monitored staking positions
referral network reporting
support and account operations
This documentation preserves that separation:
research sections explain the theoretical core
platform sections explain controlled user operations
risk sections explain the limits of the system
operating controls are designed to support secure, reliable, and publicly verifiable service delivery within an internationally certified operating framework
6) Practical reading
📘 Recommended reading order:
Core Philosophy
Spatial Arbitrage (BQAE)
Risk Model
Economics
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