Alex — Python developer. Solana trading infrastructure: market data, execution-cost measurement, Telegram delivery.
Featured: solana-tca-monitor
Transaction-cost analysis for Solana, run as an operated service. Continuously measures effective spread, price-impact curves, quote latency (p50/p99) and route churn across a mixed-liquidity basket, and cross-checks every price against an independent source.
- On its first sweep, cross-source reconciliation caught two real data bugs a single source would have hidden — postmortem in the README, both failure shapes pinned as regression tests.
- Sample findings: quoted one-way impact stays ≤0.008% even at $10k across the basket — the real cost lives in the round-trip spread (≈0% majors → 0.31% mid-caps); JUP's p99 quote latency runs ~11× its median.
- Runs unattended under
systemdwith an output-freshness watchdog → Telegram alerts.ruff+mypy+pytestin CI.
Also: smaller production Telegram bots — price alerts, signal delivery with PnL tracking, appointment booking — shipped end-to-end.
Stack: Python · asyncio · SQLite · systemd · Solana on-chain data (Jupiter / DexScreener / Helius) · pandas
Open to remote backend / data / trading-infra roles. Contact: dronvlas480@gmail.com · Telegram @Alexsspb78