def update_hist(codes=[]):
this_day = easyhistory.Day(path="C:/hist")
stock_codes_need_to_init = this_day.store.init_stock_codes
actual_init_codes = list(set(stock_codes_need_to_init).intersection(set(codes)))
if actual_init_codes:
easyhistory.init('D', export='csv', path="C:/hist",stock_codes=actual_init_codes)
else:
pass
if len(codes)>=1:
for code in codes:
easyhistory.update_single_code(dtype='D', stock_code=code, path="C:/hist")
else:
pass
def update_hist(codes=[]):
this_day = easyhistory.Day(path="C:/hist")
stock_codes_need_to_init = this_day.store.init_stock_codes
actual_init_codes = list(
set(stock_codes_need_to_init).intersection(set(codes)))
if actual_init_codes:
easyhistory.init('D',
export='csv',
path="C:/hist",
stock_codes=actual_init_codes)
else:
pass
if len(codes) >= 1:
for code in codes:
easyhistory.update_single_code(dtype='D',
stock_code=code,
path="C:/hist")
else:
pass
# -*- coding:utf-8 -*-
from setuptools import setup
import easyhistory
long_desc = """
### 初始化日线历史数据
```python
easyhistory.init('D', export='csv', path='history')
```
注1： 下载后的原始数据在 `path/day/raw_data` 下, 复权后数据在 `path/day/data` 下
注2: 下载所有股票的历史数据需要很长时间，推荐直接从[百度盘](http://pan.baidu.com/s/1o7rwH0e)(数据到 20160318 )下载,
### 更新
```python
easyhistory.update('D', export='csv', path='history')
```
### 指标系统
目前还在测试中，指标计算使用了 `talib` 和 `pandas`, 可以直接调用 `talib` 计算一百多种指标，包括 `MACD, EMA, MA` 等
* tablib 安装: https://github.com/mrjbq7/ta-lib
* pandas: pip install pandas
#### 使用
def test_day_init(self):
easyhistory.init('D', export='csv', path='out')
def test_day_init(self):
easyhistory.init('D', export='csv', path='out')
import easyhistory
easyhistory.init('D', export='csv', path="C:/hist", stock_codes=['sh000001'])
#easyhistory.update(path="C:/hist",stock_codes=['000042','000060'])
#easyhistory.update_single_code(dtype='D', stock_code='002789', path="C:/hist")
his = easyhistory.History(
dtype='D',
path='C:/hist',
codes=['000821', '300188', '600588', '002236', '600103'])
test_code = '600103'
# MA 计算, 直接调用的 talib 的对应函数
res = his[test_code].MAX(20)
res = his[test_code].MIN(20)
res = his[test_code].MA(5)
res = his[test_code].MA(10)
res = his[test_code].MA(20)
res = his[test_code].MA(30)
res = his[test_code].MA(60)
res = his[test_code].MA(120)
res = his[test_code].MA(250)
res = his[test_code].CCI(timeperiod=14)
res = his[test_code].MACD(fastperiod=12, slowperiod=26, signalperiod=9)
res = his[test_code].BBANDS(timeperiod=10, nbdevup=2,
nbdevdn=2) #(20,2,2) #boll
res = his[test_code].STOCH(fastk_period=9, slowk_period=3,
slowd_period=3) #KDJ
res = his[test_code].MFI(timeperiod=14) #MFI
res = his[test_code].ATR(timeperiod=14) #Average True Range
res = his[test_code].NATR(timeperiod=14) #Normalized Average True Range
res = his[test_code].MOM(12) #Momentum Indicators
print(res)
res.to_csv('%s.csv' % test_code)
# -*- coding:utf-8 -*-
from setuptools import setup
import easyhistory
long_desc = """
### 初始化日线历史数据
```python
easyhistory.init('D', export='csv', path='history')
```
注1： 下载后的原始数据在 `path/day/raw_data` 下, 复权后数据在 `path/day/data` 下
注2: 下载所有股票的历史数据需要很长时间，推荐直接从[百度盘](http://pan.baidu.com/s/1o7rwH0e)(数据到 20160318 )下载,
### 更新
```python
easyhistory.update('D', export='csv', path='history')
```
### 指标系统
目前还在测试中，指标计算使用了 `talib` 和 `pandas`, 可以直接调用 `talib` 计算一百多种指标，包括 `MACD, EMA, MA` 等
* tablib 安装: https://github.com/mrjbq7/ta-lib
* pandas: pip install pandas
#### 使用