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stock.py
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from data.plotindex import *
from data.cominfo import *
from data.financialreport_y import *
from data.financialreport_q import *
from data.tradedata import *
from data.Other import *
from data.Option import *
from data.Holding import *
from data.News import *
from data.secreport import *
import streamlit as st
# streamlit版面配置
def app():
st.set_page_config(page_title="MarketInfo", layout="wide", page_icon="📈")
hide_menu_style = "<style> footer {visibility: hidden;} </style>"
st.markdown(hide_menu_style, unsafe_allow_html=True)
st.markdown(
"<h1 style='text-align: center; color: rainbow;'>📈 MarketInfo</h1>",
unsafe_allow_html=True,
)
st.subheader(" ", divider="rainbow")
st.sidebar.title("📊 Menu")
options = st.sidebar.selectbox(
"選擇功能",
[
"大盤指數",
"公司基本資訊",
"公司財報",
"交易數據",
"其他資訊",
"期權數據",
"SEC文件",
"機構買賣",
"近期相關消息",
],
)
st.sidebar.markdown(
"""
### 免責聲明：
1. **K 線圖觀看角度**
- 綠漲、紅跌
2. 本平台僅適用於數據搜尋，不建議任何投資行為
3. 排版問題建議使用電腦查詢數據
4. 其他專案：[MarketSearch](https://marketsearch.streamlit.app)
"""
)
if options == "大盤指數":
period = st.selectbox("選擇時長", ["1個月","3個月","6個月","年初至今","1年", "2年", "5年", "10年", "全部"])
if period == "1個月":
period = "1mo"
time = "1個月"
elif period == "3個月":
period = "3mo"
time = "3個月"
elif period == "6個月":
period = "6mo"
time = "6個月"
elif period == "年初至今":
period = "ytd"
time = "年初至今"
elif period == "1年":
period = "1y"
time = "1年"
elif period == "2年":
period = "2y"
time = "2年"
elif period == "5年":
period = "5y"
time = "5年"
elif period == "10年":
period = "10y"
time = "10年"
elif period == "全部":
period = "max"
time = "全部"
# 繪製大盤指數
pltindex = plotindex(period, time, plot_type="index")
pltindex.plot()
# 繪製海外大盤
pltforeign = plotindex(period, time, plot_type="foreign")
pltforeign.plot()
elif options == "公司基本資訊":
symbol = st.text_input("輸入美股代號").upper()
left, middle, right = st.columns(3)
if middle.button("查詢", use_container_width=True):
if symbol:
company = cominfo(symbol)
# 獲取地址資訊
address = company.com_info["address1"]
city = company.com_info["city"]
country = company.com_info["country"]
# 獲取公司位置
location = company.get_location(address, city, country)
# 顯示翻譯後的資訊
company.display_categorized_info()
# 顯示地圖
if location:
st.subheader(f"{symbol}-位置")
company.display_map(location,company)
else:
st.error(f"無法獲取{symbol}位置。")
elif options == "公司財報":
with st.expander("展開輸入參數"):
time_range = st.selectbox("選擇時長", ["年報", "季報"])
if time_range == "年報":
symbol = st.text_input("輸入美股代碼").upper()
elif time_range == "季報":
symbol = st.text_input("輸入美股代碼").upper()
left, middle, right = st.columns(3)
if middle.button("查詢",use_container_width=True):
if time_range == "年報":
translator = financialreport_y(symbol)
translator.get_financial()
translator.tran_financial()
translator.display_financial()
elif time_range == "季報":
translator_quarterly = financialreport_q(symbol)
translator_quarterly.get_financial_q()
translator_quarterly.tran_financial_q()
translator_quarterly.display_financial_q()
elif options == "交易數據":
with st.expander("展開輸入參數"):
range = st.selectbox("長期/短期", ["長期", "短期", "自訂範圍"])
if range == "長期":
symbol = st.text_input("輸入美股代碼").upper()
time_range = st.selectbox(
"選擇時長", ["1年", "2年", "5年", "10年", "全部"]
)
if time_range == "1年":
period = "1y"
period_days = 252
elif time_range == "2年":
period = "2y"
period_days = 252 * 2
elif time_range == "5年":
period = "5y"
period_days = 252 * 5
elif time_range == "10年":
period = "10y"
period_days = 252 * 10
elif time_range == "全部":
period = "max"
period_days = None # 使用全部数据的长度
elif range == "短期":
symbol = st.text_input("輸入美股代碼").upper()
time_range = st.selectbox(
"選擇時長", ["年初至今", "1個月", "3個月", "6個月"]
)
if time_range == "年初至今":
period = "ytd"
period_days = None
elif time_range == "1個月":
period = "1mo"
period_days = 21 # 一个月大约是21个交易日
elif time_range == "2個月":
period = "2mo"
period_days = 42
elif time_range == "3個月":
period = "3mo"
period_days = 63 # 三个月大约是63个交易日
elif time_range == "6個月":
period = "6mo"
period_days = 126 # 六个月大约是126个交易日
elif range == "自訂範圍":
symbol = st.text_input("輸入美股代碼").upper()
start_date = st.date_input("開始日期")
end_date = st.date_input("結束日期")
time_range = f"{start_date}~{end_date}"
if start_date and end_date:
period_days = (end_date - start_date).days
left, middle, right = st.columns(3)
if middle.button("查詢",use_container_width=True):
if symbol:
# 获取股票数据
if range == "長期" or range == "短期":
stock_data = tradedata.getdata(symbol, period)
st.subheader(f"{symbol}-{time_range}交易數據")
elif range == "自訂範圍":
stock_data = tradedata.get_data_time_range(
symbol, start_date, end_date
)
st.subheader(f"{symbol}-{start_date}～{end_date}交易數據")
if stock_data is not None and not stock_data.empty:
if period_days is None:
period_days = len(
stock_data
) # 更新 period_days 为 stock_data 的长度
price_difference, percent_difference = (
tradedata.calculate_difference(stock_data, period_days)
)
latest_close_price = stock_data.iloc[-1]["Close"]
highest_price = stock_data["High"].max()
lowest_price = stock_data["Low"].min()
col1, col2, col3, col4 = st.columns(4)
with col1:
st.metric("最新收盤價", f"${latest_close_price:.2f}")
with col2:
st.metric(
f"{time_range}增長率",
f"${price_difference:.2f}",
f"{percent_difference:+.2f}%",
)
with col3:
st.metric(f"{time_range}最高價", f"${highest_price:.2f}")
with col4:
st.metric(f"{time_range}最低價", f"${lowest_price:.2f}")
st.subheader(f"{symbol}-{time_range}K線圖表")
tradedata.plot_kline(stock_data)
else:
st.error(f"查無{symbol}數據")
with st.expander(f"展開{symbol}-{time_range}數據"):
st.dataframe(stock_data)
elif options == "其他資訊":
symbol = st.text_input("輸入美股代號").upper()
left, middle, right = st.columns(3)
if middle.button("查詢",use_container_width=True):
other = Other(symbol)
other.get_eps()
other.get_insider()
elif options == "期權數據":
if "symbol" not in st.session_state:
st.session_state.symbol = ""
if st.session_state.symbol == "":
symbol = st.text_input("輸入美股代號").upper()
left, middle, right = st.columns(3)
if middle.button("查詢", use_container_width=True):
st.session_state.symbol = symbol # 保存查詢的 symbol
else:
symbol = st.session_state.symbol
if symbol:
option = Option(symbol)
option_dates = option.get_option_dates()
df = pd.DataFrame(option_dates, columns=["可用日期"])
st.subheader(f"{symbol} 期權到期日")
st.table(df)
date = st.date_input("選擇日期（請依照上面日期選擇）")
date_str = date.strftime("%Y-%m-%d") # 將日期轉換為字符串進行比較
if date_str in option_dates:
st.subheader(f"{symbol}看漲期權(到期日：{date_str})")
calls_df = option.options_calls_date(date_str)
st.dataframe(option.tran_col(calls_df))
st.subheader(f"{symbol}看跌期權(到期日：{date_str})")
puts_df = option.options_puts_date(date_str)
st.dataframe(option.tran_col(puts_df))
else:
st.error("查無相關日期期權")
# 新增重新查詢股票按鈕
left, middle, right = st.columns(3)
if middle.button("查詢下一隻股票",use_container_width=True):
st.session_state.symbol = "" # 清空 symbol，觸發重新查詢下一隻股票
elif options == "SEC文件":
symbol = st.text_input("輸入美股代號").upper()
left, middle, right = st.columns(3)
if middle.button("查詢",use_container_width=True):
sec = secreport(symbol)
sec.display_filings()
elif options == "機構買賣":
symbol = st.text_input("輸入美股代號").upper()
left, middle, right = st.columns(3)
if middle.button("查詢",use_container_width=True):
Holding.holder(symbol)
Holding.fund_holder(symbol)
Holding.scrape_finviz(symbol)
st.markdown(f"[資料來源](https://finviz.com/quote.ashx?t={symbol})")
elif options == "近期相關消息":
symbol = st.text_input("輸入美股代號").upper()
left, middle, right = st.columns(3)
if middle.button("查詢",use_container_width=True):
if symbol:
news_data = News()
news_data = news_data.getnews(symbol)
if news_data:
# 将新闻数据转换为DataFrame
df = pd.DataFrame(news_data)
st.subheader(f"{symbol}-近期相關消息")
st.write(df) # 显示表格
# 打印所有新闻链接
with st.expander(f"展開{symbol}-近期相關消息連結"):
for news in news_data:
st.write(f'**[{news["Title"]}]({news["URL"]})**')
st.markdown(f"[資料來源](https://finviz.com/quote.ashx?t={symbol})")
else:
st.write(f"查無{symbol}近期相關消息")
if __name__ == "__main__":
app()