quant-models
Open-source quantitative finance models in Python: option pricing and Greeks, volatility surfaces, deep hedging, portfolio construction and Monte Carlo. Every model runs on free data, with the full write-up on davidariasfinance.com
Details
- External ID
- 1378588972
- Source
- GITHUB
- Company
- —
- Product
- quant-models
- Website domain
- github.com
- Launched
- Sept. 20, 2026
- Cohort
- —
- Upvotes
- 10
- Upvotes percentile
- 0.28183448629259544
- Tags
- black-scholes, deep-hedging, derivatives, heston-model, hierarchical-risk-parity, machine-learning, monte-carlo, option-greeks, options, options-trading, portfolio-optimization, python, quantitative-finance, volatility
- Fetched at
- Sept. 24, 2026, 5:03 p.m.
- Updated at
- Sept. 24, 2026, 5:03 p.m.
Enrichment
- Theme
- algorithmic trading bots and platforms
- Vertical
- Fintech
- Function
- Analytics & BI
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Hobby / open-source project
- Normalized one-liner
- open-source quantitative finance models in python
- Manually corrected
- False
Could you build this?
Partial While basic Black-Scholes formulas and standard Python libraries can be wrapped via AI prompts, complex quantitative models like deep hedging and multi-asset volatility surface calibration require deep financial engineering knowledge.
What it would actually take: The architecture consists of a Python scientific stack (NumPy, SciPy, PyTorch/TensorFlow for deep hedging) and free market data providers (e.g., Yahoo Finance). The hard part is implementing numerical methods, solving stochastic differential equations, preventing arbitrage violations on implied volatility surfaces, and properly training neural networks for risk-neutral hedging under market frictions. This requires graduate-level quantitative finance and numerical analysis knowledge.
Competitors
Other products that read as similar to this one — 207 launches clear the similarity bar, closest 8 shown.
Attention rank: #173 of 208 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 316 days after the earliest competitor.
- Quant-Trading-Strategies · github · 2026-09-15 · 36 upvotes · similarity 0.56
- Quantae Divitiae · ph · 2026-09-22 · 1 upvotes · similarity 0.51
- genpark-heston-stochastic-volatility-cir-process-skill · github · 2026-09-28 · 7 upvotes · similarity 0.47
- Prodigy: The Frontier AI Trading Research Lab · yc · 2026-08-10 · 34 upvotes · similarity 0.46
- Quant AI · ph · 2026-09-18 · 1 upvotes · similarity 0.44
- eikos · github · 2026-09-23 · 25 upvotes · similarity 0.44
- The-Quant-Trading-Vault · github · 2026-09-27 · 321 upvotes · similarity 0.44
- Framework for building multi-agent equity research agents · hn · 2026-02-25 · 6 upvotes · similarity 0.43
Other launches for this product
- No other launches for this product.
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