AI agent(智能体)可以帮我们的基本面经理(fundamental managers)、投资经理(pm)、股票研究员(stock analysts)去处理大量的卖方研究(sell side research)和股票研究(stock research),把这些信息从非结构化(unstructured)变成变成一个可以查询的结构化数据(structure data)。 在需要阅读和总结大量数据,并根据需求写一些基本...
history=5):# time.sleep(4) #避免速率限制错误if"."在股票代码中:ticker=ticker.split(".")[0]ticker=ticker+".NS"stock=yf.Ticker(ticker)df=stock.history(period="1y")df=df[["关闭","卷"]]df.index=[str(x).split()[0]forxinlist(df.index)]df.index.rename("Date",in...
Our proprietary reversal indicator that analyzes the broad market for general market riskBEFOREyou trade! Updated daily for easy market timing. TM One-Stop-Shop Everything you need automatically analyzed on one screen; Market Condition, Market Timing, and Technical Analysis on any stock! Whethe...
Specially designed for institutional investors, empowering the entire investment process. AI Features Sell-side Research Reports Database Fund Screening Portfolio Management 1 AI Replay Assistant: Five functions including "AI Replay, historical K-line positioning, overlay data indicators, notes taking, and...
AI agent(智能体)可以帮我们的基本面经理(fundamental managers)、投资经理(pm)、股票研究员(stock analysts)去处理大量的卖方研究(sell side research)和股票研究(stock research),把这些信息从非结构化(unstructured)变成变成一个可以查询的结构化数据(structure data)。
article_text = ' '.join([p.get_text() for p in soup.find_all('p')]) return article_text except: return "Error retrieving article text." def get_industry_analysis(ticker): stock = yf.Ticker(ticker) industry = stock.info['industry'] ...
AI agent(智能体)可以帮我们的基本面经理(fundamental managers)、投资经理(pm)、股票研究员(stock analysts)去处理大量的卖方研究(sell side research)和股票研究(stock research),把这些信息从非结构化(unstructured)变成变成一个可以查询的结构化数据(structure data)。
AI agent(智能体)可以帮我们的基本面经理(fundamental managers)、投资经理(pm)、股票研究员(stock analysts)去处理大量的卖方研究(sell side research)和股票研究(stock research),把这些信息从非结构化(unstructured)变成变成一个可以查询的结构化数据(structure data)。
1. [quantopian/alphalens: Performance analysis of predictive (alpha) stock factors (http://github.com)](https://github.com/quantopian/alphalens) * 2.4K星,Apache-2.0协议,2年未更新 * 它是全球最大量化网站quantopian开发维护的量化三件套之一,用于股票因子(alpha)的性能分析。alphalens与zipline以及pyfolio...
A. Building an AI stock trading app is challenging, as it requires a proper execution plan. Gather large sets of important data, including historical price movements, financial statements, news articles, and social media sentiment. Process and refine the data for analysis purposes. Employ machine ...