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FactorForge

LLM-assisted quantitative factor research with safe DSL validation, benchmark comparisons, and cost-aware Top-K backtesting

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GITHUB · launched Sep 21, 2026 · 20 upvotes (top 39%) · 0 views

Niche: investment and equity research platforms · 226 launches, 13 in the last 7 days ▼ -24% · Explore this niche →

Category and tags

  • Fintech
  • Analytics & BI
  • Prosumer
  • AI-native
  • Hobby / open-source project

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Could you build this?

Partial Creating the LLM prompt interface and basic backtesting UI is straightforward, but building a mathematically sound financial backtesting engine with realistic slippage, corporate actions, and survivorship-bias-free data is non-trivial.

What it would actually take: A viable platform needs a high-performance vector-based backtesting pipeline (e.g., Python using Polars, Numba, or DuckDB) executing custom DSL expressions, paired with high-quality point-in-time equity market data (like CRSP or Compustat). The hard parts are preventing data lookahead bias, accurately modeling transaction costs/turnover, and safely sandboxing user DSL execution. Expertise in quantitative finance and robust financial data engineering is required.

Competitors

Other products that read as similar to this one : 2153 launches clear the similarity bar, closest 8 shown.

Attention rank: #770 of 2154 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 327 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.