import datetime
import numpy as np
import pandas as pd
import mplfinance as mpf
# ランダムなOHLCデータを生成する関数
def generate_sample_ohlc_data(n=10):
 # 現在の日付を取得
 base_date = datetime.datetime.now()
 # 日付のリストを生成
 dates = [base_date - datetime.timedelta(days=i) for i in range(n)]
 dates.reverse()
 # ランダムな価格データを生成
 rand = np.random.default_rng().uniform
 open = [100]
 high = [100.02]
 low = [100.02]
 close = [100.05]
 for i in range(n-1):
 open.append(close[i])
 close.append(open[-1] + rand(-0.1, 0.1))
 high.append(max(open[-1],close[-1]) + rand(0, 0.05))
 low.append(min(open[-1],close[-1]) - rand(0, 0.05))
 # DataFrameに格納
 ohlc_data = pd.DataFrame({
 "date": dates,
 "open": open,
 "high": high,
 "low": low,
 "close": close
 })
 return ohlc_data.set_index("date", drop=True)
period_range = 50
df = generate_sample_ohlc_data(period_range)
df["signal"] = np.nan
print(df)
some_signal = mpf.make_addplot(df["signal"])
mpf.plot(df, type='candle', addplot=some_signal) # ValueError