The 5-Step Quantitative Investigation Workflow
Understand how SOL Sentinel transforms raw on-chain Solana telemetry into structured candidate intelligence, behavioral wallet analysis, and defensible research reports.
Discover Candidates Across Solana DEX Pools
SOL Sentinel indexes liquidity pool deployments on Raydium, Orca, Meteora, and integrated DEX venues. Newly created pairs enter the Candidate Universe as DISCOVERED, capturing essential metadata: token address, symbol, initial pool liquidity, and discovery source.
- Parses verified on-chain mint and pair address strings.
- Captures initial discovery timestamp in UTC.
- Filters out noise while cataloging potential candidate pairs.
Review Market Observations & Algorithmic Scores
Discovered pairs are continuously monitored for price in USD, reported pool liquidity, 24-hour transaction volume, and transaction velocity. An algorithmic heuristic engine computes a 0-100 Research Score evaluating liquidity depth, volume consistency, price momentum, and metadata completeness.
- Score is strictly heuristic — not a price prediction or profit guarantee.
- Transparent component sub-scores show exactly what drove the score.
- Identifies stale telemetry if ingestion updates exceed expected intervals.
Investigate Interacting Wallets & Trading Velocity
Pivot directly from any candidate to inspect wallets observed trading the pool. SOL Sentinel differentiates between distinct transaction signatures and normalized activity events (BUY, SELL, transfer), cataloging interaction frequency and holding durations.
- Assigns behavioral archetypes (Rapid Flipper, Swing Trader, Accumulator).
- Calculates repeat pair interaction ratio and trade velocity.
- Explicitly declares total portfolio USD valuation as UNAVAILABLE to prevent false assumptions.
Audit Risk Flags, Completeness & Snapshot Provenance
Before forming conclusions, examine the candidate’s initial discovery baseline snapshot and active risk flags. Review whether the snapshot was captured in real-time during live streaming (LIVE_DISCOVERY) or established during indexer baseline initialization (BACKFILL_BASELINE).
- Active risk anomaly indicators highlight low liquidity, abnormal velocity, or generic metadata.
- Snapshot delta comparisons calculate net change since baseline recording.
- Honest provenance caveats ensure historical backfill is never confused with launch inception.
Generate Institutional Evidence Reports & Export PDF
With one click, compile a publication-ready Candidate Research Report or Wallet Research Report. The report aggregates token identity, telemetry observations, score components, risk flags, wallet interactions, and methodological limitations into an ink-efficient, printable PDF document.
- Uses native browser print (window.print()) for instant, zero-dependency PDF generation.
- Print-optimized styling hides dashboard chrome and ensures clean pagination.
- Includes explicit analytical limitations and risk disclosures on every exported report.
Essential Research Limitations to Keep in Mind
- Coverage Boundedness: Observed transactions and interacting wallets reflect data recorded during active candidate ingestion windows, not complete lifetime Solana blockchain history.
- Heuristic Nature: Research scores and wallet archetypes are algorithmic heuristics. They do not predict future token price movements, guarantee profits, or represent investment advice.
- Market Telemetry Latency: Real-time DEX metrics fluctuate rapidly. Observations reflect specific capture timestamps and should be verified before executing capital allocations.
- Negative Assurance: The absence of flagged risk indicators or missing data points does not prove an asset or smart contract is safe or free of vulnerabilities.