Wallet and market ingestion
BSC wallet activity, SOL route and pool context, ETH pool discovery, token metadata, and liquidity evidence.
Architecture behind the Qinlong System.
The architecture is designed to keep raw market activity, signal scoring, route evidence, validation records, and operational review separate. This separation is what makes Qinlong explainable rather than a black-box market signal.
Qinlong architecture
Risk-aware data flow
Signal normalization
Candidates are normalized with chain, source, wallet or pool context, buy pressure, FDV, liquidity, and route state.
Rule attribution
Each pass or rejection is tied to explicit chain-specific conditions such as source quality, liquidity, cooldown, or route evidence.
Validation storage
Research entries, exits, blocker reasons, and dashboard summaries are stored as reviewable evidence.
Observability
Process health, scanner freshness, reporter status, validation state, and dashboard availability are monitored.
Operational boundaries
Research alerts, validation records, chain-specific diagnostics, and execution-readiness decisions remain separate by design.
Why infrastructure is needed.
Qinlong is not a static research note. It needs to collect changing market data, run repeated route checks, store validation records, and keep operational health visible while volatile markets move.
01
Frequent ingestion
Signals and liquidity context lose value quickly, so the system needs repeatable data collection rather than one-off snapshots.
02
Evidence storage
Each pass, rejection, route failure, and validation sample needs a durable record that can be reviewed later.
03
Operational visibility
Scanner freshness, route checks, validation state, and dashboard health must be observable before any scale-up.