|
| 1 | +import logging |
| 2 | +from abc import ABC |
| 3 | + |
| 4 | +import pandas as pd |
| 5 | +import yfinance as yf |
| 6 | + |
| 7 | +from .FinancialDataProvider import FinancialDataProvider |
| 8 | + |
| 9 | +logging.basicConfig(filename="YahooFinanceProvider.log", level=logging.ERROR) |
| 10 | + |
| 11 | + |
| 12 | +class YahooFinanceProvider(FinancialDataProvider, ABC): |
| 13 | + def __init__(self, ticker): |
| 14 | + super().__init__(ticker) |
| 15 | + self.stock = yf.Ticker(ticker) |
| 16 | + self.general_info = self.stock.info |
| 17 | + self.balance_sheet = self.stock.balance_sheet |
| 18 | + self.income_stmt = self.stock.income_stmt |
| 19 | + self.cash_flow = self.stock.cash_flow |
| 20 | + |
| 21 | + def get_historical_data(self, period: str, interval: str) -> pd.DataFrame: |
| 22 | + try: |
| 23 | + return self.stock.history(period=period, interval=interval) |
| 24 | + except Exception as e: |
| 25 | + logging.error( |
| 26 | + f"Error fetching historical data from Yahoo Finance for {self.stock}: {e}" |
| 27 | + ) |
| 28 | + |
| 29 | + def get_stock_info(self) -> dict: |
| 30 | + try: |
| 31 | + fields = [ |
| 32 | + "country", |
| 33 | + "industry", |
| 34 | + "sector", |
| 35 | + "longBusinessSummary", |
| 36 | + "symbol", |
| 37 | + "longName", |
| 38 | + "trailingPE", |
| 39 | + "dividendYield", |
| 40 | + "payoutRatio", |
| 41 | + "trailingEps", |
| 42 | + "returnOnAssets", |
| 43 | + "returnOnEquity", |
| 44 | + "marketCap", |
| 45 | + "operatingCashflow", |
| 46 | + ] |
| 47 | + |
| 48 | + return { |
| 49 | + key: self.general_info[key] |
| 50 | + for key in fields |
| 51 | + if key in self.general_info |
| 52 | + } |
| 53 | + except Exception as e: |
| 54 | + logging.error(f"Error fetching stock info for {self.stock}: {e}") |
| 55 | + |
| 56 | + def get_balance_sheet(self) -> pd.DataFrame: |
| 57 | + try: |
| 58 | + fields = [ |
| 59 | + "Current Assets", |
| 60 | + "Current Liabilities", |
| 61 | + "Total Assets", |
| 62 | + "Total Liabilities Net Minority Interest", |
| 63 | + "Total Capitalization", |
| 64 | + "Working Capital", |
| 65 | + "Invested Capital", |
| 66 | + "Total Debt", |
| 67 | + "Net Debt", |
| 68 | + "Stockholders Equity", |
| 69 | + ] |
| 70 | + |
| 71 | + df_balance_sheet = self.balance_sheet.loc[fields, :] |
| 72 | + df_balance_sheet.loc["Debt to Equity"] = ( |
| 73 | + df_balance_sheet.loc["Total Liabilities Net Minority Interest"] |
| 74 | + / df_balance_sheet.loc["Stockholders Equity"] |
| 75 | + ) |
| 76 | + df_balance_sheet.loc["Current Ratio"] = ( |
| 77 | + df_balance_sheet.loc["Current Assets"] |
| 78 | + / df_balance_sheet.loc["Current Liabilities"] |
| 79 | + ) |
| 80 | + df_balance_sheet = df_balance_sheet.transpose() |
| 81 | + |
| 82 | + return df_balance_sheet.sort_index() |
| 83 | + except Exception as e: |
| 84 | + logging.error(f"Error fetching balance sheet for {self.stock}: {e}") |
| 85 | + |
| 86 | + def get_income_statement(self) -> pd.DataFrame: |
| 87 | + try: |
| 88 | + fields = [ |
| 89 | + "Total Revenue", |
| 90 | + "Cost Of Revenue", |
| 91 | + "Gross Profit", |
| 92 | + "Operating Expense", |
| 93 | + "Operating Income", |
| 94 | + "Total Expenses", |
| 95 | + "Net Income From Continuing Operation Net Minority Interest", |
| 96 | + "EBIT", |
| 97 | + "EBITDA", |
| 98 | + "General And Administrative Expense", |
| 99 | + "Selling And Marketing Expense", |
| 100 | + "Research And Development", |
| 101 | + "Basic EPS", |
| 102 | + ] |
| 103 | + |
| 104 | + df_income_stmt = self.income_stmt.loc[fields, :] |
| 105 | + df_income_stmt = df_income_stmt.transpose() |
| 106 | + return df_income_stmt.sort_index() |
| 107 | + |
| 108 | + except Exception as e: |
| 109 | + logging.error(f"Error fetching income statement for {self.stock}: {e}") |
| 110 | + |
| 111 | + def get_cash_flow(self): |
| 112 | + try: |
| 113 | + fields = [ |
| 114 | + "Operating Cash Flow", |
| 115 | + "Investing Cash Flow", |
| 116 | + "Financing Cash Flow", |
| 117 | + "Capital Expenditure", |
| 118 | + "Free Cash Flow", |
| 119 | + ] |
| 120 | + |
| 121 | + df_cashflow = self.cash_flow.loc[fields, :] |
| 122 | + df_cashflow = df_cashflow.transpose() |
| 123 | + return df_cashflow.sort_index() |
| 124 | + |
| 125 | + except Exception as e: |
| 126 | + logging.error(f"Error fetching cash flow for {self.stock}: {e}") |
0 commit comments