股票英雄

从金融 API 和其他来源下载市场数据

它是一个开源工具，使用公开可用的 API 和其他资源，旨在用于研究和教育目的。

0.4.0 中的新功能

• 新架构

计划下一个版本的新功能

• 修复更多“功能”（错误）

代码模块

该Ticker模块从 nasdaq.com、morningstar.com、yahoo.com 获取财务数据作为 pandas.DataFrame

import StockHero as stock
nvda = stock.Ticker('NVDA') # e.g. NVIDIA Corp
#or
nvda = stock.Ticker('US67066G1040') # e.g. NVIDIA Corp

''' Morningstar - Down since 23.06.2022 '''
#nvda.morningstar.financials             # Financials
#nvda.morningstar.marginofsales          # Margins % of Sales
#nvda.morningstar.profitability          # Profitability
#nvda.morningstar.cf_ratios              # Cash Flow - Cash Flow Ratios
#nvda.morningstar.bs                     # Balance Sheet Items (in %)
#nvda.morningstar.li_fin                 # Liquidity/Financial Health
#nvda.morningstar.efficiency             # Efficiency

''' Morningstar '''
nvda.morningstar.quote                  # Quote
nvda.morningstar.growth_rev             # Growth - Revenue %
nvda.morningstar.growth_op_inc          # Growth - Operating Income %
nvda.morningstar.growth_net_inc         # Growth - Net Income %
nvda.morningstar.growth_eps             # Growth - EPS %

''' Yahoo Finance '''
nvda.yahoo.statistics                   # Statistics
nvda.yahoo.statistics_p                 # Statistics - PreProcessed

''' NASDAQ '''
nvda.nasdaq.summ                        # Summary
nvda.nasdaq.div_hist                    # Dividend History
nvda.nasdaq.hist_quotes_stock           # Historical Quotes for Stocks
nvda.nasdaq.hist_quotes_etf             # Historical Quotes for ETFs
nvda.nasdaq.hist_nocp                   # Historical Nasdaq Official Closing Price (NOCP)
nvda.nasdaq.fin_income_statement_y      # Financials - Income Statement - Yearly
nvda.nasdaq.fin_balance_sheet_y         # Financials - Balance Sheet    - Yearly
nvda.nasdaq.fin_cash_flow_y             # Financials - Cash Flow        - Yearly
nvda.nasdaq.fin_fin_ratios_y            # Financials - Financial Ratios - Yearly
nvda.nasdaq.fin_income_statement_q      # Financials - Income Statement - Quarterly
nvda.nasdaq.fin_balance_sheet_q         # Financials - Balance Sheet    - Quarterly
nvda.nasdaq.fin_cash_flow_q             # Financials - Cash Flow        - Quarterly
nvda.nasdaq.fin_fin_ratios_q            # Financials - Financial Ratios - Quarterly
nvda.nasdaq.earn_date_eps               # Earnings Date - Earnings Per Share
nvda.nasdaq.earn_date_surprise          # Earnings Date - Quarterly Earnings Surprise Amount
nvda.nasdaq.yearly_earn_forecast        # Earnings Date - Yearly Earnings Forecast 
nvda.nasdaq.quarterly_earn_forecast     # Earnings Date - Quarterly Earnings Forecast 
nvda.nasdaq.pe_peg_forecast             # Price/Earnings, PEG Ratios, Growth Rates Forecast

''' Gurufocus '''
nvda.gurufocus.pe_ratio_av              # Historical Average Price/Earnings-Ratio
nvda.gurufocus.debt_to_ebitda           # Debt-to-EBITDA Ratio

证券交易所模块

该StockExchange模块从 NASDAQ Stock Screener、Börse Hamburg / Hannover 作为 pandas.DataFrame 获取财务数据
添加 CNN 恐惧和贪婪指数

import StockHero as stock
t = stock.StockExchange('something') # e.g. Nasdaq

''' NASDAQ '''
t.nasdaq                              # Nasdaq Stock Market

''' CNN '''
t.cnn_fear_and_greed                  # CNN Fear and Greed Index

''' Börse Hamburg / Hannover - Down since 23.06.2022 '''
#t.dax                                 # DAX Performance-Index
#t.mdax                                # MDAX Performance-Index
#t.sdax                                # SDAX Performance-Index
#t.tecdax                              # TecDAX Performance-Index
#t.nisax                               # NISAX 20 Index
#t.eurostoxx                           # EURO STOXX 50 Index
#t.gcx                                 # GCX Global Challenges Performance-Index
#t.gevx                                # Global Ethical Values Index
#t.gergenx                             # German Gender Index
#t.dow_jones                           # Dow Jones Industrial Average Index (Attention ! - Index is not provided correctly from provider site)
#t.nasdaq_100                          # Nasdaq-100 Index (Attention ! - Index is not provided correctly from provider site)

结合两个模块

例如，您可以组合这两个模块

import StockHero as stock
t = stock.StockExchange('something')
df = t.nasdaq
ticker = df.loc[df['Name'].str.contains('NVIDIA'), 'Symbol'].values[0]
n = stock.Ticker(ticker)
n.morningstar_quote

安装

https://pypi.org/project/StockHero/

法律资料

StockHero 是根据 Apache 软件许可证分发的

任何反馈或建议，让我知道

或者用 Peter Thiel 的话来说：

我们想要飞行汽车，但我们得到了 140 个字符