寻找用于人工智能股票分析的开源Python包
大家好！<p>我正在为我的项目寻找一些优秀的股票+AI Python包。我尝试了多个开源的Python包，目前发现investormate是比较可靠的。它并不是要取代像yFinance这样的低级数据提供者，而是位于其之上，专注于将市场和财务数据转化为可用于分析的对象。<p>我所寻找的功能包括：<p>标准化的损益表、资产负债表和现金流数据<p>60多个技术指标（如RSI、MACD、布林带等）<p>自动计算的财务比率（市盈率、净资产收益率、利润率、杠杆比率）<p>股票筛选（价值、成长、分红、自定义筛选）<p>投资组合指标（收益、波动率、夏普比率）<p>情绪分析<p>回测<p>AI层（OpenAI / Claude / Gemini）<p>目前尝试过的包包括：defectbeta-api、yfinance、investormate。<p>到目前为止，investormate给我留下了良好的印象，我也欢迎任何更好的建议。
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Hey folks!<p>I am looking for some good stock+AI packages in Python for my project. I have tried multiple open-source Python packages and so far found investormate as reliable. It’s not meant to replace low-level data providers like yFinance — it sits a layer above that and focuses on turning market + financial data into analysis-ready objects.<p>Things I am looking for:<p>Normalised income statement, balance sheet, and cash flow data<p>60+ technical indicators (RSI, MACD, Bollinger Bands, etc.)<p>Auto-computed financial ratios (P/E, ROE, margins, leverage)<p>Stock screening (value, growth, dividend, custom filters)<p>Portfolio metrics (returns, volatility, Sharpe ratio)<p>Sentiment Analysis<p>Back Testing<p>AI layer (OpenAI / Claude / Gemini)<p>Packages so far tried - defectbeta-api, yfinance, investormate.<p>So far investormate felt promising, and I am open to any better suggestions.