quantflow: Quantitative finance and derivative pricing

by quantmind · MCP Server · ★ 57

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install quantflow

pip install quantflow

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolscox-ingersoll-rossfinancefourier-transformheston-modelmcpoption-pricingquantitative-financestochastic-processesstochastic-volatility-models

Quick Facts

Stars57
Forks13
LanguagePython
CategoryMCP Server
LicenseBSD-3-Clause
Quality Score61/100
Open Issues1
Last Updated2026-08-16
Created2014-01-08
Platformsmcp, python
Est. Tokens~14k

About quantflow

Quantitative analysis and pricing tools. Installation Optional dependencies — data retrieval: — training the Deep Implied Volatility model: Features Stochastic Processes: a library of continuous-time models including Wiener processes, Poisson jumps, CIR mean-reverting dynamics, Heston stochastic volatility, jump-diffusion models, and the Barndorff-Nielsen & Shephard (BNS) model.

Compatible Skills

These tools work well together with quantflow for enhanced workflows:

  • metatrader-mcp-server — semantic(0.51)+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • yfinance-mcp — semantic(0.45)+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • TradingAgents-AShare — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • ai-hedge-fund-crypto — semantic(0.19)+complementary+rare_topics+same_lang+shared_platform (46%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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