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skills

Agent skills for Krexa: backtest, paper-trade and run trading agents from Hermes, OpenClaw, Claude and more

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GITHUB · launched Oct 16, 2026 · 38 upvotes (top 35%)

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Could you build this?

Partial Building agent scaffolding and UI is accessible, but building a robust trading agent platform with accurate backtesting and paper trading requires quantitative finance infrastructure. Reliable backtesting demands high-quality tick/order-book data feeds and modeling of slippage, latency, and exchange-specific execution rules.

What it would actually take: The system requires an event-driven backtesting engine (often in Python, Go, or Rust) integrated with normalized historical and live market data feeds (via WebSocket or FIX). The hard part is building an execution simulator that realistically models latency, fees, liquidity depth, and order matching, alongside sandboxed agent runtimes that safely interface with broker APIs. Specialized knowledge of algorithmic trading systems and quantitative risk controls is necessary.

Competitors

Other products that read as similar to this one : 1252 launches clear the similarity bar, closest 8 shown.

Attention rank: #373 of 1253 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 352 days after the earliest competitor.

Other launches for this product

More details
External ID
1422065285
Company
n/a
Product
skills
Website domain
github.com
Cohort
n/a
Upvotes percentile
0.65
All tags
n/a
AI summary
trading agent skills for krexa
Manually corrected
No