genpark-avellaneda-stoikov-market-maker-skill
Avellaneda-Stoikov high-frequency market-making model computing optimal inventory-risk adjusted reservation prices and spread quotes.
Details
- External ID
- 1363421871
- Source
- GITHUB
- Company
- —
- Product
- genpark-avellaneda-stoikov-market-maker-skill
- Website domain
- github.com
- Launched
- Sept. 10, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.05976172175249808
- Tags
- agentic-ai, avellaneda-stoikov, genpark-skill, inventory-risk, market-making, optimal-control
- Fetched at
- Sept. 14, 2026, 1:02 a.m.
- Updated at
- Sept. 14, 2026, 1:02 a.m.
Enrichment
- Theme
- revenue optimization and billing analytics
- Vertical
- Fintech
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- avellaneda-stoikov market-making model for ai agents
- Manually corrected
- False
Could you build this?
Yes The Avellaneda-Stoikov model is a standard quantitative finance closed-form formulation that can be coded into a Python module or agent skill in a few dozen lines of math.
Competitors
Other products that read as similar to this one — 196 launches clear the similarity bar, closest 8 shown.
Attention rank: #94 of 197 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 316 days after the earliest competitor.
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- genpark-vickrey-clarke-groves-vcg-auction-mechanism-skill · github · 2026-09-09 · 8 upvotes · similarity 0.46
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a dev tools tool for Sales yet.