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import pandas as pd |
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import json |
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import yfinance as yf |
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import numpy as np |
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import psycopg2 |
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from psycopg2.extras import execute_values |
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from tqdm import tqdm |
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import datetime |
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import schedule |
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import time |
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from config import SQL_CONFIG |
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#SQL setting |
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def update_data(): |
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# Connect to the database |
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conn = psycopg2.connect(**SQL_CONFIG) |
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cursor = conn.cursor() |
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print("Stock prices US updating") |
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# Get the list of tickers |
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cursor.execute("SELECT DISTINCT ticker FROM stock_price") |
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tickers = [row[0] for row in cursor.fetchall()] |
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for ticker in tqdm(tickers): |
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# Get the latest date for this ticker |
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cursor.execute(f"SELECT MAX(date) FROM stock_price WHERE ticker = '{ticker}'") |
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latest_date = cursor.fetchone()[0] |
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# If the latest date is not today, update the data |
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if latest_date < datetime.date.today(): |
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df = yf.download(ticker, start=latest_date.strftime('%Y-%m-%d'), |
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end=datetime.date.today().strftime('%Y-%m-%d'), progress=False) |
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value = [(ticker, df.index[i], df['Close'][i]) for i in range(len(df))] |
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with conn: |
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with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as curs: |
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sql = "insert into stock_price (ticker, date, price) values %s" |
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execute_values(curs, sql, value) |
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print("Stock prices US updated") |
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def update_data_tw(): |
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# Connect to the database |
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conn = psycopg2.connect(**SQL_CONFIG) |
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cursor = conn.cursor() |
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print("Stock prices US updating") |
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# Get the list of tickers |
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cursor.execute("SELECT DISTINCT ticker FROM stock_price_tw") |
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tickers = [row[0] for row in cursor.fetchall()] |
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for ticker in tqdm(tickers): |
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# Get the latest date for this ticker |
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cursor.execute(f"SELECT MAX(date) FROM stock_price_tw WHERE ticker = '{ticker}'") |
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latest_date = cursor.fetchone()[0] |
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# If the latest date is not today, update the data |
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if latest_date < datetime.date.today(): |
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df = yf.download(ticker, start=latest_date.strftime('%Y-%m-%d'), |
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end=datetime.date.today().strftime('%Y-%m-%d'), progress=False) |
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value = [(ticker, df.index[i], df['Close'][i]) for i in range(len(df))] |
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with conn: |
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with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as curs: |
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sql = "insert into stock_price_tw (ticker, date, price) values %s" |
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execute_values(curs, sql, value) |
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print("Stock prices TW updated") |
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# Schedule the task |
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schedule.every().day.at("17:00").do(update_data) |
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schedule.every().day.at("18:00").do(update_data_tw) |
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# Keep the script running |
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while True: |
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schedule.run_pending() |
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time.sleep(1) |
