股票双底的python算法
时间: 2023-03-01 16:51:43 浏览: 73
"双底"是股票技术分析领域的术语,表示股价在持续下跌后可能出现的反转迹象。在 Python 中,可以使用 Pandas 库来读取股票价格数据并分析股票的趋势。下面是一个实现双底的 Python 算法的示例:
```
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# 读取股票数据
df = pd.read_csv('stock_data.csv')
# 计算收盘价的移动平均线
df['MA20'] = df['Close'].rolling(window=20).mean()
df['MA50'] = df['Close'].rolling(window=50).mean()
# 找到双底点
double_bottom = []
for i in range(1, len(df) - 1):
if (df.iloc[i]['Close'] > df.iloc[i - 1]['Close']) and (df.iloc[i]['Close'] > df.iloc[i + 1]['Close']):
if (df.iloc[i]['MA20'] > df.iloc[i - 1]['MA20']) and (df.iloc[i]['MA20'] > df.iloc[i + 1]['MA20']):
if (df.iloc[i]['MA50'] > df.iloc[i - 1]['MA50']) and (df.iloc[i]['MA50'] > df.iloc[i + 1]['MA50']):
double_bottom.append(df.iloc[i]['Date'])
# 绘制图形
plt.plot(df['Close'], label='Close')
plt.plot(df['MA20'], label='MA20')
plt.plot(df['MA50'], label='MA50')
plt.axhline(y=df['Close'].min(), color='red', linestyle='--', label='Min Close')
plt.legend(loc='best')
plt.xticks(np.arange(0, len(df), 50), df['Date'].iloc[np.arange(0, len(df), 50)], rotation=90)
plt.show()
# 打印双底点
print("双底点:", double_bottom)
```
上面的代码使用 Pandas 库读取股票价格数据,