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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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with open('assets_tw.json') as f: |
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data_tw = json.load(f) |
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#SQL setting |
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SQL_CONFIG = dict(database="portfolio_platform", user='postgres', password='thiispassword1qaz!QAZ', host='db', port='5432') |
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# TW Stocks |
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conn = psycopg2.connect(**SQL_CONFIG) |
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cursor = conn.cursor() |
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cursor.execute("TRUNCATE TABLE stock_price_tw") |
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print("TW stock price cleared") |
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for ticker in tqdm(data_tw): |
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df = yf.download(ticker, start="2007-01-01", progress=False, threads=False) |
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if df is None or df.empty: |
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continue |
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price_col = 'Close' if 'Close' in df.columns else ('Adj Close' if 'Adj Close' in df.columns else None) |
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if price_col is None: |
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continue |
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value = [(ticker, row.name.strftime('%Y-%m-%d'), float(row[price_col])) for _, row in df.iterrows()] |
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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("TW stock price updated")
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