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factor-forge-public

Modular quantitative research, backtesting, signal generation, risk management, and exchange execution framework.

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GITHUB · launched Sep 21, 2026 · 16 upvotes (top 48%) · 0 views

Niche: algorithmic trading platforms · 236 launches, 14 in the last 7 days ▼ -48% · Explore this niche →

Category and tags

  • Fintech
  • Analytics & BI
  • Developer
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial While the modular framework architecture and basic backtesting scripts can be vibe-coded, robust quantitative execution and real-time risk management require deep domain expertise in financial market microstructure and low-latency order handling.

What it would actually take: A production quantitative system requires a modular Python or C++ architecture with tick-level order book backtesting, low-latency WebSocket/FIX protocol connectors to cryptocurrency or equity exchanges, and deterministic portfolio risk calculation engines. The hard parts are slippage modeling, handling race conditions and network drops during high-frequency execution, and historical data ingestion without lookahead bias.

Competitors

Other products that read as similar to this one : 1755 launches clear the similarity bar, closest 8 shown.

Attention rank: #808 of 1756 (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.