Quant-research-lab
Python framework for monthly sector ETF allocation and multifactor stock backtesting, with transaction-cost accounting and separate Chinese and English research reports.
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GITHUB · launched Oct 20, 2026 · 69 upvotes (top 21%)
- Fintech
- Analytics & BI
- Prosumer
- Not AI
- Hobby / open-source project
Similar launches
See all 578 similar launches →Could you build this?
Yes A Python framework for ETF allocation and factor backtesting is mostly data loading, portfolio math, cost accounting, and report generation, all of which an AI coding assistant can produce. Public price and fundamentals data is accessible through common APIs.
Competitors
Other products that read as similar to this one : 578 launches clear the similarity bar, closest 8 shown.
Attention rank: #110 of 579 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 356 days after the earliest competitor.
- SimpleQuant · github · 2026-10-01 · 16 upvotes · similarity 0.67
- rebalance-review · github · 2026-10-07 · 44 upvotes · similarity 0.65
- Prodigy: The Frontier AI Trading Research Lab · yc · 2026-08-10 · 34 upvotes · similarity 0.60
- Quantae Divitiae · ph · 2026-09-22 · 1 upvotes · similarity 0.60
- trend-allocation-research-bot · github · 2026-10-04 · 10 upvotes · similarity 0.58
- factor-forge-public · github · 2026-09-21 · 16 upvotes · similarity 0.58
- quant-models · github · 2026-09-20 · 10 upvotes · similarity 0.57
- Zibra Labs: HPC for Quant Trading Firms Running Backtesting at Scale · yc · 2026-05-18 · 8 upvotes · similarity 0.56
Other launches for this product
- No other launches for this product.
More details
- External ID
- 1426987071
- Company
- n/a
- Product
- Quant-research-lab
- Website domain
- github.com
- Cohort
- n/a
- Upvotes percentile
- 0.79
- All tags
- n/a
- AI summary
- python backtesting framework for sector etf allocation
- Manually corrected
- No