Kouhei Takagi(髙木耕平) Kouhei-Takagi

## Features-JPY2.py
import pandas_datareader.data as web
from datetime import datetime
import pandas as pd

start = datetime(2015, 6, 1)
end = datetime(2025, 5, 1)

# Retrieve monthly data from FRED
gold = web.DataReader("IR14270", "fred", start, end)
oil = web.DataReader("DCOILWTICO", "fred", start, end)

## correlation-features-USA4.py
import pandas_datareader.data as web
from datetime import datetime
import pandas as pd

start = datetime(2015, 6, 1)
end = datetime(2025, 5, 1)

# 月次データをFREDから取得
gold = web.DataReader("IR14270", "fred", start, end)
zinc = web.DataReader("PZINCUSDM", "fred", start, end)

## correlation-China-USA5.py
import pandas as pd
import yfinance as yf
from datetime import datetime, timedelta
import matplotlib.pyplot as plt

# Date range
end_date = datetime.today()
start_date = end_date - timedelta(days=30 * 6)

# Download data

## styles.css
#game-board {
    display: grid;
    grid-template-rows: repeat(13, 1fr);
    grid-template-columns: repeat(7, 1fr);
    gap: 1px;
    width: 200px;
    height: 400px;
    border: 1px solid black;
  }


## PrimeNumberTetris2.js
const gameBoard = document.getElementById('game-board');

// ゲームボードの設定
const ROWS = 13;
const COLUMNS = 7;
const VACANT = 'WHITE'; // 空のセルの色

// セルのコンストラクタ
function Square(x, y, color) {
    this.x = x;

## index.html
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Prime Number Tetris</title>
  <link rel="stylesheet" href="styles.css">
</head>
<body>
  <div id="game-board"></div>

## EVA2nd-2.py
# データの取得ライブラリ
from yahoo_fin import stock_info as si
import pandas as pd
# 日付の取得ライブラリ
from datetime import datetime
# 相関関係の高い数式を見つけるライブラリ
from scipy.optimize import minimize
from scipy.stats import pearsonr
# モデルの訓練ライブラリ
from sklearn.model_selection import train_test_split

## EVA2nd.py
# データの取得ライブラリ
from yahoo_fin import stock_info as si
import pandas as pd
# 日付の取得ライブラリ
from datetime import datetime
# 相関関係の高い数式を見つけるライブラリ
from scipy.optimize import minimize
from scipy.stats import pearsonr
# モデルの訓練ライブラリ
from sklearn.model_selection import train_test_split

## validation.py
import yfinance as yf
import pandas as pd

class Data:
    def __init__(self, symbol, start_date, end_date):
        self.symbol = symbol
        self.start_date = start_date
        self.end_date = end_date

    def get_data(self):

## validation.py
import yfinance as yf
import pandas as pd
from scipy.optimize import minimize
from scipy.stats import pearsonr

class Data:
    def __init__(self, symbol, start_date, end_date):
        self.symbol = symbol
        self.start_date = start_date
        self.end_date = end_date
	import pandas_datareader.data as web
	from datetime import datetime
	import pandas as pd

	start = datetime(2015, 6, 1)
	end = datetime(2025, 5, 1)

	# Retrieve monthly data from FRED
	gold = web.DataReader("IR14270", "fred", start, end)
	oil = web.DataReader("DCOILWTICO", "fred", start, end)
	import pandas as pd
	import yfinance as yf
	from datetime import datetime, timedelta
	import matplotlib.pyplot as plt

	# Date range
	end_date = datetime.today()
	start_date = end_date - timedelta(days=30 * 6)

	# Download data
	#game-board {
	display: grid;
	grid-template-rows: repeat(13, 1fr);
	grid-template-columns: repeat(7, 1fr);
	gap: 1px;
	width: 200px;
	height: 400px;
	border: 1px solid black;
	}
	const gameBoard = document.getElementById('game-board');

	// ゲームボードの設定
	const ROWS = 13;
	const COLUMNS = 7;
	const VACANT = 'WHITE'; // 空のセルの色

	// セルのコンストラクタ
	function Square(x, y, color) {
	this.x = x;
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Prime Number Tetris</title>
	<link rel="stylesheet" href="styles.css">
	</head>
	<body>
	<div id="game-board"></div>
	# データの取得ライブラリ
	from yahoo_fin import stock_info as si
	import pandas as pd
	# 日付の取得ライブラリ
	from datetime import datetime
	# 相関関係の高い数式を見つけるライブラリ
	from scipy.optimize import minimize
	from scipy.stats import pearsonr
	# モデルの訓練ライブラリ
	from sklearn.model_selection import train_test_split
	import yfinance as yf
	import pandas as pd

	class Data:
	def __init__(self, symbol, start_date, end_date):
	self.symbol = symbol
	self.start_date = start_date
	self.end_date = end_date

	def get_data(self):