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modify stat files.

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This commit is contained in:
oscar
2024-10-13 19:18:39 +08:00
parent 12066f4e2e
commit a0f9f3ba21
2 changed files with 353 additions and 6 deletions
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58
stockapp/stat_growth.py
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@ -152,14 +152,31 @@ def calculate_yield():
row1['close'] = row1['last_price']
row1['time_key'] = row1['update_time']
# 2. 获取 2024-01-01 之前的历史数据
# 2. 获取 2024-01-01 的年初数据
cursor.execute("SELECT * FROM hs300_his_kline_none WHERE code=%s AND time_key<'2024-01-01' ORDER BY time_key DESC LIMIT 1", (code,))
row2 = cursor.fetchone()
# 3. 获取 2024-09-24 之前的历史数据
# 3. 获取 2024-09-24 的初始数据
cursor.execute("SELECT * FROM hs300_his_kline_none WHERE code=%s AND time_key<'2024-09-24' ORDER BY time_key DESC LIMIT 1", (code,))
row3 = cursor.fetchone()
# 3.1 获取 2021-01-01 之后的历史数据中最大值（前复权）
cursor.execute("SELECT * FROM hs300_qfq_his WHERE code=%s AND time_key>='2021-01-01' ORDER BY close DESC LIMIT 1", (code,))
row4 = cursor.fetchone()
# 3.2 获取 2021-01-01 之后的历史数据中最小值（前复权）
cursor.execute("SELECT * FROM hs300_qfq_his WHERE code=%s AND time_key>='2021-01-01' ORDER BY close ASC LIMIT 1", (code,))
row5 = cursor.fetchone()
# 3.4 获取 2021-01-01 之后的历史数据中pe最大值
cursor.execute("SELECT * FROM hs300_qfq_his WHERE code=%s AND time_key>='2021-01-01' ORDER BY pe_ratio DESC LIMIT 1", (code,))
row6 = cursor.fetchone()
# 3.5 获取 2021-01-01 之后的历史数据中pe最小值
cursor.execute("SELECT * FROM hs300_qfq_his WHERE code=%s AND time_key>='2021-01-01' ORDER BY pe_ratio ASC LIMIT 1", (code,))
row7 = cursor.fetchone()
# 4. 读取复权数据
cursor.execute("SELECT * FROM futu_rehab WHERE code=%s ORDER BY ex_div_date ASC", (code,))
rehab_res = cursor.fetchall()
@ -177,22 +194,47 @@ def calculate_yield():
year_yield = row1['qfq_close'] / row2['qfq_close'] - 1 if row1 and row2 else None
yield_0924 = row1['qfq_close'] / row3['qfq_close'] - 1 if row3 and row1 else None
# 6.1 计算当前股价是 2021 年之后最高点及最低点的百分比
max_price_pct = row1['qfq_close'] / row4['close'] if row1 and row4 and row4['close'] !=0 else None
max_price_pe_pct = row1['pe_ttm_ratio'] / row4['pe_ratio'] if row1 and row4 and row4['pe_ratio'] !=0 else None
min_price_pct = row1['qfq_close'] / row5['close'] if row1 and row5 and row5['close'] !=0 else None
min_price_pe_pct = row1['pe_ttm_ratio'] / row5['pe_ratio'] if row1 and row5 and row5['pe_ratio'] !=0 else None
max_pe_pct = row1['pe_ttm_ratio'] / row6['pe_ratio'] if row1 and row6 and row6['pe_ratio'] !=0 else None
min_pe_pct = row1['pe_ttm_ratio'] / row7['pe_ratio'] if row1 and row7 and row7['pe_ratio'] !=0 else None
# 7. 收集结果
result = {
'code': code,
'name': name,
'year_begin_date': row2['time_key'].date(),
'year_begin_close': row2['close'],
'year_begin_close': row2['qfq_close'],
'0924_date': row3['time_key'].date(),
'0924_close': row3['close'],
'0924_close': row3['qfq_close'],
'max_price_date': row4['time_key'].date(),
'max_price': row4['close'],
'max_price_pe': row4['pe_ratio'],
'max_pe_date': row6['time_key'].date(),
'max_pe': row6['pe_ratio'],
'min_price_date': row5['time_key'].date(),
'min_price': row5['close'],
'min_price_pe': row5['pe_ratio'],
'min_pe_date': row7['time_key'].date(),
'min_pe': row7['pe_ratio'],
'latest_date': row1['time_key'].date(),
'latest_close': row1['close'],
'latest_close': row1['qfq_close'],
'year_yield': year_yield,
'yield_0924': yield_0924,
'total_market_val': row1.get('total_market_val', None),
'pe_ttm_ratio': row1.get('pe_ttm_ratio', None),
'dividend_ratio_ttm': row1.get('dividend_ratio_ttm', None),
'dividend_lfy_ratio': row1.get('dividend_lfy_ratio', None),
'max_price_pct': max_price_pct,
'max_price_pe_pct': max_price_pe_pct,
'min_price_pct': min_price_pct,
'min_price_pe_pct': min_price_pe_pct,
'max_pe_pct': max_pe_pct,
'min_pe_pct': min_pe_pct,
}
results.append(result)
logging.info(f"{result}")
@ -203,7 +245,11 @@ def calculate_yield():
# 获取当前日期 格式化为 yyyymmdd
current_date = datetime.now()
date_string = current_date.strftime('%Y%m%d')
fieldnames = ['code', 'name', 'year_begin_date', 'year_begin_close', '0924_date', '0924_close', 'latest_date', 'latest_close', 'year_yield', 'yield_0924', 'total_market_val', 'pe_ttm_ratio', 'dividend_ratio_ttm', 'dividend_lfy_ratio']
fieldnames = ['code', 'name', 'year_begin_date', 'year_begin_close', '0924_date', '0924_close',
'max_price_date', 'max_price', 'max_price_pe', 'max_pe_date', 'max_pe', 'min_price_date', 'min_price', 'min_price_pe', 'min_pe_date', 'min_pe',
'latest_date', 'latest_close', 'year_yield', 'yield_0924', 'total_market_val', 'pe_ttm_ratio', 'dividend_ratio_ttm', 'dividend_lfy_ratio',
'max_price_pct', 'max_price_pe_pct', 'min_price_pct', 'min_price_pe_pct', 'max_pe_pct', 'min_pe_pct'
]
write_to_csv(f'./result/stat_growth{date_string}.csv', fieldnames, results)
except Exception as e: