LLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.
$ npx skills add ZhuLinsen/daily_stock_analysisAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Java 实盘量化框架
LLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.
$ npx skills add ZhuLinsen/daily_stock_analysisTradingAgents: Multi-Agents LLM Financial Trading Framework
$ npx skills add TauricResearch/TradingAgents基于Python的开源量化交易平台开发框架
$ npx skills add vnpy/vnpyFree, open source crypto trading bot
$ npx skills add freqtrade/freqtradeThe QuantLib C++ library
$ npx skills add lballabio/QuantLibQuestDB is a high performance, open-source, time-series database
$ npx skills add questdb/questdbFinRL®: Financial Reinforcement Learning. 🔥
$ npx skills add AI4Finance-Foundation/FinRLYour AI trading terminal assistant for US stocks, commodities, forex, and crypto.
$ npx skills add NoFxAiOS/nofxA cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go / Java
$ npx skills add ccxt/ccxtA local-first personal finance app
$ npx skills add actualbudget/actualOpen source software that helps you create and deploy high-frequency crypto trading bots
$ npx skills add hummingbot/hummingbotDownload market data from Yahoo! Finance's API
$ npx skills add ranaroussi/yfinanceInvoicing, Time tracking, File reconciliation, Storage, Financial Overview & your own Assistant made for Freelancers
$ npx skills add midday-ai/middayPython toolkit for quantitative finance
$ npx skills add goldmansachs/gs-quantstock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
$ npx skills add myhhub/stockWallos: Open-source, self-hostable personal subscription tracker. Visualize your recurring expenses, manage your budget, and save money.
$ npx skills add ellite/WallosHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Tiger Quant if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.