best-of-algorithmic-trading — repository deleted, archived audit

Quick Facts

About best-of-algorithmic-trading

Best-of Algorithmic Trading Repository: github.com/PlaceNL2026/best-of-algorithmic-trading 🏆 A ranked list of open-source algorithmic trading projects—bots, frameworks, APIs, indicators, books, courses, and communities—kept up to date on a regular schedule. What you get: 109 curated projects across 7 categories, with roughly 310K combined GitHub stars.

Compatible Skills

These tools work well together with best-of-algorithmic-trading for enhanced workflows:

• ai-hedge-fund-crypto — semantic(0.54)+complementary+rare_topics+similar_pop (64%)
• LLM_trader — semantic(0.44)+complementary+rare_topics+similar_pop (59%)
• ai-trading-agent-gemini — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
• opentradex — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)

best-of-algorithmic-trading alternative? Top 6 similar tools

Looking for a best-of-algorithmic-trading alternative? If you're comparing best-of-algorithmic-trading with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

• okx-agent-trade-kit by dex-original · ⭐ 111

  okx trading bot okx agent mcp cli cryptocurrency okx api automated trading typescript okx trading bot model co

• maverick-mcp by wshobson · ⭐ 720

  Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting

• ai-hedge-fund-crypto by 51bitquant · ⭐ 624

  AI-Hedge-Fund for Crypto 🚀 AI-powered hedge fund for cryptocurrency trading, leveraging LLM agents for intel

• mcp-trader by wshobson · ⭐ 273

  A Model Context Protocol (MCP) server for stock traders

• superior-skills by Superior-Trade · ⭐ 209

  Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hype

• PolyMCP by poly-mcp · ⭐ 170

  Polymcp provides a simple and efficient way to interact with MCP servers using custom agents

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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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this