写一点简单的代码，启发更多读者和高手的思路，一起来挖掘投资者偏好。
有写的不好的地方请多包涵，多指教。
测试股票池：全部A股（上海 深圳 创业板）
测试时间段：2008年1月~2018年9月（11年）
分类方法：市值后50%，上市时间最短50%，价格最低50%
分析目标：分类后20日成交额占全市场比，分类后20动量占全市场比
我们将每年分为每月1个时间截面，做一次数据观察，然后连起所有的截面绘制趋势图。试图观察出当前时间点上的数据，在历史上经历过哪些区间变化。
# 指数成分股，总市值，成交额
import numpy as np
import pandas as pd
import datetime
from jqfactor import get_factor_values
def getStockPrice(stock, interval): # 输入stock证券名，interval期
h = attribute_history(stock, interval, unit='1d', fields=('close'), skip_paused=True)
return (h['close'].values[0] , h['close'].values[-1])
list_stock = get_index_stocks('000002.XSHG') + get_index_stocks('399107.XSHE')+get_index_stocks('399102.XSHE')
# 截面日期
section_time_list = ['2008-1-10','2008-2-10','2008-3-10','2008-4-10','2008-5-10','2008-6-10',\
'2008-7-10','2008-8-10','2008-9-10','2008-10-10','2008-11-10','2008-12-10',\
'2009-1-10','2009-2-10','2009-3-10','2009-4-10','2009-5-15','2009-6-10',\
'2009-7-10','2009-8-10','2009-9-10','2009-10-10','2009-11-10','2009-12-10',\
'2010-1-10','2010-2-10','2010-3-10','2010-4-10','2010-5-10','2010-6-10',\
'2010-7-10','2010-8-10','2010-9-10','2010-10-10','2010-11-10','2010-12-10',\
'2011-1-10','2011-2-10','2011-3-10','2011-4-10','2011-5-10','2011-6-10',\
'2011-7-10','2011-8-10','2011-9-10','2011-10-10','2011-11-10','2011-12-10',\
'2012-1-10','2012-2-10','2012-3-10','2012-4-10','2012-5-10','2012-6-10',\
'2012-7-10','2012-8-10','2012-9-10','2012-10-10','2012-11-10','2012-12-10',\
'2013-1-10','2013-2-10','2013-3-10','2013-4-10','2013-5-15','2013-6-10',\
'2013-7-10','2013-8-10','2013-9-10','2013-10-10','2013-11-10','2013-12-10',\
'2014-1-10','2014-2-10','2014-3-10','2014-4-10','2014-5-10','2014-6-10',\
'2014-7-10','2014-8-10','2014-9-10','2014-10-10','2014-11-10','2014-12-10',\
'2015-1-10','2015-2-10','2015-3-10','2015-4-10','2015-5-10','2015-6-10',\
'2015-7-10','2015-8-10','2015-9-10','2015-10-10','2015-11-10','2015-12-10',\
'2016-1-10','2016-2-10','2016-3-10','2016-4-10','2016-5-10','2016-6-10',\
'2016-7-10','2016-8-10','2016-9-10','2016-10-10','2016-11-10','2016-12-10',\
'2017-1-10','2017-2-10','2017-3-10','2017-4-10','2017-5-10','2017-6-10',\
'2017-7-10','2017-8-10','2017-9-10','2017-10-10','2017-11-10','2017-12-10',\
'2018-1-10','2018-2-10','2018-3-10','2018-4-10','2018-5-10','2018-6-10',\
'2018-7-10','2018-8-10','2018-9-10']
# 循环计算特征值开始
for section_time in section_time_list:
q = query(
valuation.code,
valuation.market_cap, # 总市值
valuation.pb_ratio, # PB市净率
balance.total_sheet_owner_equities # 负债和股东权益合计
).filter(
valuation.code.in_(list_stock)
)
df = get_fundamentals(q, section_time)
df.head()
df.index = df['code']
# 获取日期，合并日期到DF
df_start_date = pd.DataFrame(get_all_securities(date=section_time).start_date)
df_start_date['now_date'] = section_time
for key in df_start_date:
if len(df) == 0:
df = df_start_date[key].T
df.columns = [key]
else:
df = pd.concat([df,df_start_date[key].T],axis=1,join='outer')
df.columns.values[-1] = key
testarr = []
for indexs in df.index:
d1=df.loc[indexs].values[4]
d2=df.loc[indexs].values[5]
d1 = datetime.datetime(d1.year,d1.month,d1.day)
d2 = datetime.datetime.strptime(d2, '%Y-%m-%d')
a_delta = (d2 - d1)
a_delta = a_delta.days
testarr.append(a_delta)
test = pd.Series(testarr, name="diffdays",index=df.index)
df = df.join(test)
df = df.dropna()
# 得到20日成交额均值，并向df内添加一列money
money = history(20, unit='1d', field='money', security_list=list(df.code), skip_paused=False, fq='pre')
money = money.mean()
money = money.T
money
df['money'] = money.values
# 得到20日前复权均价，并向df内添加一列money
price = history(20, unit='1d', field='close', security_list=list(df.code), skip_paused=False, fq='none')
price = price.mean()
price = price.T
price
df['price'] = price.values
# 得到20日动量，并向df内添加一列momentum
momentum = []
for i in list(df.code):
interval,Yesterday = getStockPrice(i, 20 )
stock_momentum = abs(Yesterday / interval - 1)
momentum.append((i, stock_momentum))
# 转化成np.array结构，方便取出第二列数据（回报值）
np_momentuma = np.array(momentum)
momentum_value = np_momentuma[:,1].astype(float).tolist()
# 合并到DF
df['momentum_value'] = momentum_value
# 获取波动因子(暂时没有用到)
factor_data = get_factor_values(securities=list(df.code), factors=['VR','current_ratio'], end_date=section_time, count = 1)
# 合并到DF
for key in factor_data:
if len(df) == 0:
df = factor_data[key].T
df.columns = [key]
else:
df = pd.concat([df,factor_data[key].T],axis=1,join='outer')
df.columns.values[-1] = key
# 按市值排名
# df_rank = df.sort(columns='market_cap', ascending=False)
# 按其他因子值（如total_sheet_owner_equities）排名
df_rank = df.sort(columns='total_sheet_owner_equities', ascending=False)
# 按前复权价格排名
# df_rank = df.sort(columns='price', ascending=False)
# 按上市以来日期排名
# df_rank = df.sort(columns='diffdays', ascending=False)
# ============= 进行数据分割，并计算3项指标值 =============
# 获得后半段数据，求出数据比率
df_rank_last_50 = df_rank.iloc[int(len(df_rank)*0.5):,:]
# 成交额占比
last_50_sum_money = df_rank_last_50.money.sum()
all_sum_money = df_rank.money.sum()
last_50_sum_money_ratio = last_50_sum_money / all_sum_money
# 动量占比
last_50_avg_mom = df_rank_last_50.momentum_value.mean()
all_avg_mom = df_rank.momentum_value.mean()
last_50_avg_mom_ratio = last_50_avg_mom / all_avg_mom
# 合并到一个DF数据类型里
df_two_ratio = pd.DataFrame(index = [section_time])
df_two_ratio['money_20_ratio'] = last_50_sum_money_ratio
df_two_ratio['mom_20_ratio'] = last_50_avg_mom_ratio
print(df_two_ratio)
# df_two_ratio.to_csv("two_ratio.csv")
money_20_ratio mom_20_ratio
2008-1-10 0.337046 1.124968
money_20_ratio mom_20_ratio
2008-2-10 0.336802 1.122541
money_20_ratio mom_20_ratio
2008-3-10 0.329688 1.113947
money_20_ratio mom_20_ratio
2008-4-10 0.328587 1.109921
money_20_ratio mom_20_ratio
2008-5-10 0.324717 1.118219
money_20_ratio mom_20_ratio
2008-6-10 0.324717 1.118219
money_20_ratio mom_20_ratio
2008-7-10 0.324717 1.118219
money_20_ratio mom_20_ratio
2008-8-10 0.327094 1.118367
money_20_ratio mom_20_ratio
2008-9-10 0.332517 1.124047
money_20_ratio mom_20_ratio
2008-10-10 0.332517 1.124047
money_20_ratio mom_20_ratio
2008-11-10 0.335517 1.128959
money_20_ratio mom_20_ratio
2008-12-10 0.335517 1.128959
money_20_ratio mom_20_ratio
2009-1-10 0.335517 1.128959
money_20_ratio mom_20_ratio
2009-2-10 0.333155 1.125837
money_20_ratio mom_20_ratio
2009-3-10 0.331701 1.123749
money_20_ratio mom_20_ratio
2009-4-10 0.331095 1.130681
money_20_ratio mom_20_ratio
2009-5-15 0.332699 1.128206
money_20_ratio mom_20_ratio
2009-6-10 0.332699 1.128206
money_20_ratio mom_20_ratio
2009-7-10 0.332699 1.128206
money_20_ratio mom_20_ratio
2009-8-10 0.332998 1.124962
money_20_ratio mom_20_ratio
2009-9-10 0.327892 1.12909
money_20_ratio mom_20_ratio
2009-10-10 0.327892 1.12909
money_20_ratio mom_20_ratio
2009-11-10 0.327266 1.137479
money_20_ratio mom_20_ratio
2009-12-10 0.327266 1.137479
money_20_ratio mom_20_ratio
2010-1-10 0.327359 1.138224
money_20_ratio mom_20_ratio
2010-2-10 0.32767 1.132807
money_20_ratio mom_20_ratio
2010-3-10 0.329611 1.122156
money_20_ratio mom_20_ratio
2010-4-10 0.339011 1.131467
money_20_ratio mom_20_ratio
2010-5-10 0.348944 1.138391
money_20_ratio mom_20_ratio
2010-6-10 0.348944 1.138391
money_20_ratio mom_20_ratio
2010-7-10 0.348944 1.138391
money_20_ratio mom_20_ratio
2010-8-10 0.347735 1.132469
money_20_ratio mom_20_ratio
2010-9-10 0.351167 1.150787
money_20_ratio mom_20_ratio
2010-10-10 0.351167 1.150787
money_20_ratio mom_20_ratio
2010-11-10 0.359926 1.150564
money_20_ratio mom_20_ratio
2010-12-10 0.359926 1.150564
money_20_ratio mom_20_ratio
2011-1-10 0.359982 1.150566
money_20_ratio mom_20_ratio
2011-2-10 0.359698 1.152558
money_20_ratio mom_20_ratio
2011-3-10 0.363672 1.153194
money_20_ratio mom_20_ratio
2011-4-10 0.356296 1.141918
money_20_ratio mom_20_ratio
2011-5-10 0.361583 1.152436
money_20_ratio mom_20_ratio
2011-6-10 0.361539 1.153031
money_20_ratio mom_20_ratio
2011-7-10 0.361713 1.153424
money_20_ratio mom_20_ratio
2011-8-10 0.358834 1.136063
money_20_ratio mom_20_ratio
2011-9-10 0.36059 1.146787
money_20_ratio mom_20_ratio
2011-10-10 0.36059 1.146787
money_20_ratio mom_20_ratio
2011-11-10 0.363262 1.148847
money_20_ratio mom_20_ratio
2011-12-10 0.363262 1.148847
money_20_ratio mom_20_ratio
2012-1-10 0.363262 1.148847
money_20_ratio mom_20_ratio
2012-2-10 0.36339 1.149114
money_20_ratio mom_20_ratio
2012-3-10 0.360139 1.151515
money_20_ratio mom_20_ratio
2012-4-10 0.359407 1.150204
money_20_ratio mom_20_ratio
2012-5-10 0.361738 1.151297
money_20_ratio mom_20_ratio
2012-6-10 0.361024 1.151079
money_20_ratio mom_20_ratio
2012-7-10 0.361024 1.151079
money_20_ratio mom_20_ratio
2012-8-10 0.35799 1.152257
money_20_ratio mom_20_ratio
2012-9-10 0.355052 1.140999
money_20_ratio mom_20_ratio
2012-10-10 0.355052 1.140999
money_20_ratio mom_20_ratio
2012-11-10 0.355451 1.144478
money_20_ratio mom_20_ratio
2012-12-10 0.355451 1.144478
money_20_ratio mom_20_ratio
2013-1-10 0.355451 1.144478
money_20_ratio mom_20_ratio
2013-2-10 0.35582 1.144424
money_20_ratio mom_20_ratio
2013-3-10 0.354055 1.140623
money_20_ratio mom_20_ratio
2013-4-10 0.348361 1.142388
money_20_ratio mom_20_ratio
2013-5-15 0.348715 1.141996
money_20_ratio mom_20_ratio
2013-6-10 0.348715 1.141996
money_20_ratio mom_20_ratio
2013-7-10 0.348715 1.141996
money_20_ratio mom_20_ratio
2013-8-10 0.349157 1.142577
money_20_ratio mom_20_ratio
2013-9-10 0.342449 1.137988
money_20_ratio mom_20_ratio
2013-10-10 0.342449 1.137988
money_20_ratio mom_20_ratio
2013-11-10 0.339335 1.147471
money_20_ratio mom_20_ratio
2013-12-10 0.339335 1.147471
money_20_ratio mom_20_ratio
2014-1-10 0.339335 1.147471
money_20_ratio mom_20_ratio
2014-2-10 0.339307 1.147597
money_20_ratio mom_20_ratio
2014-3-10 0.339229 1.14568
money_20_ratio mom_20_ratio
2014-4-10 0.334219 1.144556
money_20_ratio mom_20_ratio
2014-5-10 0.32911 1.131312
money_20_ratio mom_20_ratio
2014-6-10 0.32911 1.131312
money_20_ratio mom_20_ratio
2014-7-10 0.32911 1.131312
money_20_ratio mom_20_ratio
2014-8-10 0.329054 1.131616
money_20_ratio mom_20_ratio
2014-9-10 0.321374 1.126375
money_20_ratio mom_20_ratio
2014-10-10 0.321374 1.126375
money_20_ratio mom_20_ratio
2014-11-10 0.320497 1.12155
money_20_ratio mom_20_ratio
2014-12-10 0.320497 1.12155
money_20_ratio mom_20_ratio
2015-1-10 0.320497 1.12155
money_20_ratio mom_20_ratio
2015-2-10 0.320469 1.121267
money_20_ratio mom_20_ratio
2015-3-10 0.320597 1.122161
money_20_ratio mom_20_ratio
2015-4-10 0.315985 1.120991
money_20_ratio mom_20_ratio
2015-5-10 0.312407 1.095569
money_20_ratio mom_20_ratio
2015-6-10 0.310317 1.096333
money_20_ratio mom_20_ratio
2015-7-10 0.307512 1.095838
money_20_ratio mom_20_ratio
2015-8-10 0.305563 1.09614
money_20_ratio mom_20_ratio
2015-9-10 0.307937 1.078896
money_20_ratio mom_20_ratio
2015-10-10 0.307937 1.078896
money_20_ratio mom_20_ratio
2015-11-10 0.298282 1.079431
money_20_ratio mom_20_ratio
2015-12-10 0.298622 1.08138
money_20_ratio mom_20_ratio
2016-1-10 0.298853 1.080405
money_20_ratio mom_20_ratio
2016-2-10 0.298238 1.072906
money_20_ratio mom_20_ratio
2016-3-10 0.296655 1.071221
money_20_ratio mom_20_ratio
2016-4-10 0.294054 1.067252
money_20_ratio mom_20_ratio
2016-5-10 0.285873 1.049361
money_20_ratio mom_20_ratio
2016-6-10 0.284115 1.048057
money_20_ratio mom_20_ratio
2016-7-10 0.284105 1.048366
money_20_ratio mom_20_ratio
2016-8-10 0.284936 1.04999
money_20_ratio mom_20_ratio
2016-9-10 0.285731 1.045648
money_20_ratio mom_20_ratio
2016-10-10 0.286098 1.047792
money_20_ratio mom_20_ratio
2016-11-10 0.288592 1.048648
money_20_ratio mom_20_ratio
2016-12-10 0.288592 1.048648
money_20_ratio mom_20_ratio
2017-1-10 0.288592 1.048648
money_20_ratio mom_20_ratio
2017-2-10 0.288437 1.048572
money_20_ratio mom_20_ratio
2017-3-10 0.287776 1.052344
money_20_ratio mom_20_ratio
2017-4-10 0.279134 1.039171
money_20_ratio mom_20_ratio
2017-5-10 0.278237 1.038293
money_20_ratio mom_20_ratio
2017-6-10 0.278237 1.038293
money_20_ratio mom_20_ratio
2017-7-10 0.278237 1.038293
money_20_ratio mom_20_ratio
2017-8-10 0.278261 1.043285
money_20_ratio mom_20_ratio
2017-9-10 0.276994 1.030538
money_20_ratio mom_20_ratio
2017-10-10 0.276994 1.030538
money_20_ratio mom_20_ratio
2017-11-10 0.273546 1.030797
money_20_ratio mom_20_ratio
2017-12-10 0.273546 1.030797
money_20_ratio mom_20_ratio
2018-1-10 0.273546 1.030797
money_20_ratio mom_20_ratio
2018-2-10 0.271447 1.031581
money_20_ratio mom_20_ratio
2018-3-10 0.271305 1.031613
money_20_ratio mom_20_ratio
2018-4-10 0.270191 1.031429
money_20_ratio mom_20_ratio
2018-5-10 0.274431 1.038454
money_20_ratio mom_20_ratio
2018-6-10 0.274431 1.038454
money_20_ratio mom_20_ratio
2018-7-10 0.274431 1.038454
money_20_ratio mom_20_ratio
2018-8-10 0.274522 1.038046
money_20_ratio mom_20_ratio
2018-9-10 0.280132 1.042084
# 指数成分股：总市值、股票数量、个股平均市值、个股平均成交额
import numpy as np
import pandas as pd
import datetime
from jqfactor import get_factor_values
def getStockPrice(stock, interval): # 输入stock证券名，interval期
h = attribute_history(stock, interval, unit='1d', fields=('close'), skip_paused=True)
return (h['close'].values[0] , h['close'].values[-1])
list_stock = get_index_stocks('000002.XSHG') + get_index_stocks('399107.XSHE')+get_index_stocks('399102.XSHE')
# 截面日期
section_time_list = ['2008-1-10','2008-2-10','2008-3-10','2008-4-10','2008-5-10','2008-6-10',\
'2008-7-10','2008-8-10','2008-9-10','2008-10-10','2008-11-10','2008-12-10',\
'2009-1-10','2009-2-10','2009-3-10','2009-4-10','2009-5-15','2009-6-10',\
'2009-7-10','2009-8-10','2009-9-10','2009-10-10','2009-11-10','2009-12-10',\
'2010-1-10','2010-2-10','2010-3-10','2010-4-10','2010-5-10','2010-6-10',\
'2010-7-10','2010-8-10','2010-9-10','2010-10-10','2010-11-10','2010-12-10',\
'2011-1-10','2011-2-10','2011-3-10','2011-4-10','2011-5-10','2011-6-10',\
'2011-7-10','2011-8-10','2011-9-10','2011-10-10','2011-11-10','2011-12-10',\
'2012-1-10','2012-2-10','2012-3-10','2012-4-10','2012-5-10','2012-6-10',\
'2012-7-10','2012-8-10','2012-9-10','2012-10-10','2012-11-10','2012-12-10',\
'2013-1-10','2013-2-10','2013-3-10','2013-4-10','2013-5-15','2013-6-10',\
'2013-7-10','2013-8-10','2013-9-10','2013-10-10','2013-11-10','2013-12-10',\
'2014-1-10','2014-2-10','2014-3-10','2014-4-10','2014-5-10','2014-6-10',\
'2014-7-10','2014-8-10','2014-9-10','2014-10-10','2014-11-10','2014-12-10',\
'2015-1-10','2015-2-10','2015-3-10','2015-4-10','2015-5-10','2015-6-10',\
'2015-7-10','2015-8-10','2015-9-10','2015-10-10','2015-11-10','2015-12-10',\
'2016-1-10','2016-2-10','2016-3-10','2016-4-10','2016-5-10','2016-6-10',\
'2016-7-10','2016-8-10','2016-9-10','2016-10-10','2016-11-10','2016-12-10',\
'2017-1-10','2017-2-10','2017-3-10','2017-4-10','2017-5-10','2017-6-10',\
'2017-7-10','2017-8-10','2017-9-10','2017-10-10','2017-11-10','2017-12-10',\
'2018-1-10','2018-2-10','2018-3-10','2018-4-10','2018-5-10','2018-6-10',\
'2018-7-10','2018-8-10','2018-9-10']
# 循环计算特征值开始
for section_time in section_time_list:
q = query(
valuation.code,
valuation.market_cap, # 总市值
valuation.pb_ratio, # PB市净率
balance.total_sheet_owner_equities # 负债和股东权益合计
).filter(
valuation.code.in_(list_stock)
)
df = get_fundamentals(q, section_time)
df.head()
df.index = df['code']
# 得到20日成交额均值，并向df内添加一列money
money = history(20, unit='1d', field='money', security_list=list(df.code), skip_paused=False, fq='pre')
money = money.mean()
money = money.T
money
df['money'] = money.values
# ============= 进行数据分割，并计算4项指标值 =============
# 总市值
sum_market_cap = df.market_cap.sum()
# 股票数量
sum_indexes = len(df.index)
# 个股平均市值
avg_market_cap = sum_market_cap/sum_indexes
# 个股平均获得资金
avg_money = df.money.sum() / sum_indexes
df_two_ratio = pd.DataFrame(index = [section_time])
df_two_ratio['sum_market_cap'] = sum_market_cap
df_two_ratio['sum_indexes'] = sum_indexes
df_two_ratio['avg_market_cap'] = avg_market_cap
df_two_ratio['avg_money'] = avg_money
print(df_two_ratio)
sum_market_cap sum_indexes avg_market_cap avg_money
2008-1-10 328166.9966 1452 226.010328 85098738.684947
sum_market_cap sum_indexes avg_market_cap avg_money
2008-2-10 281137.6134 1453 193.48769 85177836.255299
sum_market_cap sum_indexes avg_market_cap avg_money
2008-3-10 258014.1452 1456 177.207517 85102202.282322
sum_market_cap sum_indexes avg_market_cap avg_money
2008-4-10 263998.279 1491 177.06122 84835771.353328
sum_market_cap sum_indexes avg_market_cap avg_money
2008-5-10 280509.598 1509 185.891052 85177377.734514
sum_market_cap sum_indexes avg_market_cap avg_money
2008-6-10 238753.2109 1509 158.21949 85177377.734514
sum_market_cap sum_indexes avg_market_cap avg_money
2008-7-10 223560.3112 1509 148.1513 85177377.734514
sum_market_cap sum_indexes avg_market_cap avg_money
2008-8-10 203549.4689 1517 134.178951 85703262.154099
sum_market_cap sum_indexes avg_market_cap avg_money
2008-9-10 168411.3808 1546 108.933623 85740740.347567
sum_market_cap sum_indexes avg_market_cap avg_money
2008-10-10 154022.6451 1546 99.626549 85740740.347567
sum_market_cap sum_indexes avg_market_cap avg_money
2008-11-10 146729.0046 1562 93.936623 85802332.44793
sum_market_cap sum_indexes avg_market_cap avg_money
2008-12-10 164390.4169 1562 105.243545 85802332.44793
sum_market_cap sum_indexes avg_market_cap avg_money
2009-1-10 150805.3045 1562 96.54629 85802332.44793
sum_market_cap sum_indexes avg_market_cap avg_money
2009-2-10 179453.8719 1562 114.887242 85802332.44793
sum_market_cap sum_indexes avg_market_cap avg_money
2009-3-10 171906.4659 1562 110.055356 85802332.44793
sum_market_cap sum_indexes avg_market_cap avg_money
2009-4-10 195662.9522 1562 125.264374 85802332.44793
sum_market_cap sum_indexes avg_market_cap avg_money
2009-5-15 211923.6926 1563 135.587775 85776437.571284
sum_market_cap sum_indexes avg_market_cap avg_money
2009-6-10 226687.3169 1563 145.033472 85776437.571284
sum_market_cap sum_indexes avg_market_cap avg_money
2009-7-10 252203.0369 1563 161.358309 85776437.571284
sum_market_cap sum_indexes avg_market_cap avg_money
2009-8-10 262864.1483 1564 168.071706 85727890.839271
sum_market_cap sum_indexes avg_market_cap avg_money
2009-9-10 241953.837 1568 154.307294 85908608.700055
sum_market_cap sum_indexes avg_market_cap avg_money
2009-10-10 241603.8227 1568 154.084071 85908608.700055
sum_market_cap sum_indexes avg_market_cap avg_money
2009-11-10 267640.2254 1592 168.115719 85895205.523284
sum_market_cap sum_indexes avg_market_cap avg_money
2009-12-10 276399.7253 1592 173.617918 85895205.523284
sum_market_cap sum_indexes avg_market_cap avg_money
2010-1-10 272626.3163 1592 171.247686 85895205.523284
sum_market_cap sum_indexes avg_market_cap avg_money
2010-2-10 255357.0868 1596 159.998175 85786316.770193
sum_market_cap sum_indexes avg_market_cap avg_money
2010-3-10 264169.4038 1609 164.182352 85919100.864455
sum_market_cap sum_indexes avg_market_cap avg_money
2010-4-10 278546.323 1687 165.11341 84824668.409477
sum_market_cap sum_indexes avg_market_cap avg_money
2010-5-10 247418.8336 1769 139.863671 85367950.226544
sum_market_cap sum_indexes avg_market_cap avg_money
2010-6-10 238351.2437 1769 134.737843 85367950.226544
sum_market_cap sum_indexes avg_market_cap avg_money
2010-7-10 228634.3922 1769 129.244993 85367950.226544
sum_market_cap sum_indexes avg_market_cap avg_money
2010-8-10 243880.3837 1790 136.246024 84927562.324664
sum_market_cap sum_indexes avg_market_cap avg_money
2010-9-10 265960.1434 1855 143.37474 85823518.559701
sum_market_cap sum_indexes avg_market_cap avg_money
2010-10-10 272991.8235 1855 147.165404 85823518.559701
sum_market_cap sum_indexes avg_market_cap avg_money
2010-11-10 321098.8639 1935 165.942565 86502854.730136
sum_market_cap sum_indexes avg_market_cap avg_money
2010-12-10 295982.7926 1935 152.962684 86502854.730136
sum_market_cap sum_indexes avg_market_cap avg_money
2011-1-10 291542.1447 1935 150.667775 86502854.730136
sum_market_cap sum_indexes avg_market_cap avg_money
2011-2-10 291434.5146 1937 150.456642 86507091.169783
sum_market_cap sum_indexes avg_market_cap avg_money
2011-3-10 308358.3231 1947 158.376129 86273556.572344
sum_market_cap sum_indexes avg_market_cap avg_money
2011-4-10 319157.2398 2027 157.453004 85237773.825471
sum_market_cap sum_indexes avg_market_cap avg_money
2011-5-10 309758.8558 2112 146.666125 83945138.318919
sum_market_cap sum_indexes avg_market_cap avg_money
2011-6-10 289368.0083 2113 136.946525 83907807.049009
sum_market_cap sum_indexes avg_market_cap avg_money
2011-7-10 302216.4798 2113 143.027203 83907807.049009
sum_market_cap sum_indexes avg_market_cap avg_money
2011-8-10 279439.9589 2139 130.640467 83593937.218153
sum_market_cap sum_indexes avg_market_cap avg_money
2011-9-10 277247.6388 2193 126.423912 82715797.938359
sum_market_cap sum_indexes avg_market_cap avg_money
2011-10-10 259277.9901 2193 118.229818 82715797.938359
sum_market_cap sum_indexes avg_market_cap avg_money
2011-11-10 278345.3893 2246 123.929381 82260030.851443
sum_market_cap sum_indexes avg_market_cap avg_money
2011-12-10 259610.1397 2246 115.587774 82260030.851443
sum_market_cap sum_indexes avg_market_cap avg_money
2012-1-10 252751.8401 2246 112.534212 82260030.851443
sum_market_cap sum_indexes avg_market_cap avg_money
2012-2-10 260051.0609 2247 115.732559 82239899.873522
sum_market_cap sum_indexes avg_market_cap avg_money
2012-3-10 272829.9201 2254 121.042556 82298195.635927
sum_market_cap sum_indexes avg_market_cap avg_money
2012-4-10 260950.949 2284 114.251729 82043201.371254
sum_market_cap sum_indexes avg_market_cap avg_money
2012-5-10 274694.75 2345 117.140618 81350179.652254
sum_market_cap sum_indexes avg_market_cap avg_money
2012-6-10 260961.6928 2346 111.236868 81318753.559483
sum_market_cap sum_indexes avg_market_cap avg_money
2012-7-10 249691.9293 2346 106.433047 81318753.559483
sum_market_cap sum_indexes avg_market_cap avg_money
2012-8-10 250822.5721 2359 106.325804 81187128.178993
sum_market_cap sum_indexes avg_market_cap avg_money
2012-9-10 249626.3602 2406 103.751604 80534802.2548
sum_market_cap sum_indexes avg_market_cap avg_money
2012-10-10 247258.1711 2406 102.76732 80534802.2548
sum_market_cap sum_indexes avg_market_cap avg_money
2012-11-10 241612.8601 2443 98.900066 80442165.779463
sum_market_cap sum_indexes avg_market_cap avg_money
2012-12-10 241103.8614 2443 98.691716 80442165.779463
sum_market_cap sum_indexes avg_market_cap avg_money
2013-1-10 266918.8106 2443 109.258621 80442165.779463
sum_market_cap sum_indexes avg_market_cap avg_money
2013-2-10 285554.3796 2443 116.88677 80442165.779463
sum_market_cap sum_indexes avg_market_cap avg_money
2013-3-10 274642.5586 2443 112.420204 80442165.779463
sum_market_cap sum_indexes avg_market_cap avg_money
2013-4-10 264968.6496 2445 108.371636 80402101.544469
sum_market_cap sum_indexes avg_market_cap avg_money
2013-5-15 269870.6988 2445 110.376564 80402101.544469
sum_market_cap sum_indexes avg_market_cap avg_money
2013-6-10 269200.8989 2445 110.102617 80402101.544469
sum_market_cap sum_indexes avg_market_cap avg_money
2013-7-10 247002.6916 2445 101.023596 80402101.544469
sum_market_cap sum_indexes avg_market_cap avg_money
2013-8-10 256248.3092 2445 104.805034 80402101.544469
sum_market_cap sum_indexes avg_market_cap avg_money
2013-9-10 275823.2405 2445 112.811141 80402101.544469
sum_market_cap sum_indexes avg_market_cap avg_money
2013-10-10 274050.2999 2445 112.086012 80402101.544469
sum_market_cap sum_indexes avg_market_cap avg_money
2013-11-10 262137.7794 2446 107.169983 80500976.5432
sum_market_cap sum_indexes avg_market_cap avg_money
2013-12-10 279063.8002 2446 114.089861 80500976.5432
sum_market_cap sum_indexes avg_market_cap avg_money
2014-1-10 257510.9798 2446 105.278405 80500976.5432
sum_market_cap sum_indexes avg_market_cap avg_money
2014-2-10 271948.7592 2446 111.181014 80500976.5432
sum_market_cap sum_indexes avg_market_cap avg_money
2014-3-10 259870.7193 2448 106.15634 80460073.276429
sum_market_cap sum_indexes avg_market_cap avg_money
2014-4-10 278215.8493 2470 112.637996 80246009.139477
sum_market_cap sum_indexes avg_market_cap avg_money
2014-5-10 262988.7507 2494 105.448577 80269431.665395
sum_market_cap sum_indexes avg_market_cap avg_money
2014-6-10 271369.2496 2494 108.808841 80269431.665395
sum_market_cap sum_indexes avg_market_cap avg_money
2014-7-10 272549.8794 2494 109.282229 80269431.665395
sum_market_cap sum_indexes avg_market_cap avg_money
2014-8-10 292893.2704 2495 117.392092 80307911.146692
sum_market_cap sum_indexes avg_market_cap avg_money
2014-9-10 314295.1192 2502 125.617554 80229413.365667
sum_market_cap sum_indexes avg_market_cap avg_money
2014-10-10 325353.431 2502 130.037343 80229413.365667
sum_market_cap sum_indexes avg_market_cap avg_money
2014-11-10 338383.0011 2538 133.326636 79528469.424138
sum_market_cap sum_indexes avg_market_cap avg_money
2014-12-10 390405.37 2538 153.824023 79528469.424138
sum_market_cap sum_indexes avg_market_cap avg_money
2015-1-10 426456.2213 2538 168.028456 79528469.424138
sum_market_cap sum_indexes avg_market_cap avg_money
2015-2-10 418181.9899 2538 164.768318 79528469.424138
sum_market_cap sum_indexes avg_market_cap avg_money
2015-3-10 448063.5805 2541 176.333562 79449020.607522
sum_market_cap sum_indexes avg_market_cap avg_money
2015-4-10 558090.4607 2569 217.240351 79206100.293776
sum_market_cap sum_indexes avg_market_cap avg_money
2015-5-10 599725.731 2668 224.784757 78132747.884534
sum_market_cap sum_indexes avg_market_cap avg_money
2015-6-10 762781.6075 2696 282.930863 77898911.48588
sum_market_cap sum_indexes avg_market_cap avg_money
2015-7-10 571616.379 2714 210.617678 77641197.348424
sum_market_cap sum_indexes avg_market_cap avg_money
2015-8-10 593119.189 2720 218.058525 77578621.896265
sum_market_cap sum_indexes avg_market_cap avg_money
2015-9-10 482526.5302 2764 174.575445 76901820.218492
sum_market_cap sum_indexes avg_market_cap avg_money
2015-10-10 485362.4798 2764 175.601476 76901820.218492
sum_market_cap sum_indexes avg_market_cap avg_money
2015-11-10 569615.2603 2765 206.009136 76961259.806222
sum_market_cap sum_indexes avg_market_cap avg_money
2015-12-10 555385.9502 2776 200.066985 76921621.493328
sum_market_cap sum_indexes avg_market_cap avg_money
2016-1-10 516067.7406 2795 184.639621 76786590.430526
sum_market_cap sum_indexes avg_market_cap avg_money
2016-2-10 453465.1901 2799 162.009714 76693889.489347
sum_market_cap sum_indexes avg_market_cap avg_money
2016-3-10 453759.3595 2808 161.595213 76575899.647279
sum_market_cap sum_indexes avg_market_cap avg_money
2016-4-10 496060.6489 2819 175.970432 76441959.205152
sum_market_cap sum_indexes avg_market_cap avg_money
2016-5-10 473890.7111 2834 167.2162 76173405.755793
sum_market_cap sum_indexes avg_market_cap avg_money
2016-6-10 498891.4909 2848 175.172574 75958520.428539
sum_market_cap sum_indexes avg_market_cap avg_money
2016-7-10 515906.9796 2861 180.324005 75695054.833101
sum_market_cap sum_indexes avg_market_cap avg_money
2016-8-10 520837.6197 2879 180.909211 75586406.120473
sum_market_cap sum_indexes avg_market_cap avg_money
2016-9-10 538734.17 2904 185.514521 75380650.048354
sum_market_cap sum_indexes avg_market_cap avg_money
2016-10-10 538801.1 2921 184.457754 75159518.605772
sum_market_cap sum_indexes avg_market_cap avg_money
2016-11-10 562260.5697 2933 191.701524 75022345.661504
sum_market_cap sum_indexes avg_market_cap avg_money
2016-12-10 568097.3089 2933 193.691548 75022345.661504
sum_market_cap sum_indexes avg_market_cap avg_money
2017-1-10 555444.7488 2933 189.377685 75022345.661504
sum_market_cap sum_indexes avg_market_cap avg_money
2017-2-10 562139.1291 2935 191.529516 74988590.993867
sum_market_cap sum_indexes avg_market_cap avg_money
2017-3-10 570052.2309 2945 193.566123 74880106.405004
sum_market_cap sum_indexes avg_market_cap avg_money
2017-4-10 584194.1318 2998 194.861285 74124353.348734
sum_market_cap sum_indexes avg_market_cap avg_money
2017-5-10 557923.2895 3180 175.447575 72284121.487068
sum_market_cap sum_indexes avg_market_cap avg_money
2017-6-10 564324.7376 3180 177.460609 72284121.487068
sum_market_cap sum_indexes avg_market_cap avg_money
2017-7-10 573227.1357 3180 180.260106 72284121.487068
sum_market_cap sum_indexes avg_market_cap avg_money
2017-8-10 577530.9986 3188 181.157779 72161896.628324
sum_market_cap sum_indexes avg_market_cap avg_money
2017-9-10 607550.5268 3308 183.660981 71053396.631942
sum_market_cap sum_indexes avg_market_cap avg_money
2017-10-10 618451.9233 3308 186.956446 71053396.631942
sum_market_cap sum_indexes avg_market_cap avg_money
2017-11-10 633192.6741 3386 187.003152 70324990.220765
sum_market_cap sum_indexes avg_market_cap avg_money
2017-12-10 601039.886 3386 177.50735 70324990.220765
sum_market_cap sum_indexes avg_market_cap avg_money
2018-1-10 627065.1968 3386 185.193502 70324990.220765
sum_market_cap sum_indexes avg_market_cap avg_money
2018-2-10 565047.0331 3386 166.877446 70324990.220765
sum_market_cap sum_indexes avg_market_cap avg_money
2018-3-10 614747.9126 3387 181.502189 70314042.216626
sum_market_cap sum_indexes avg_market_cap avg_money
2018-4-10 601026.8739 3415 175.996156 70330484.131658
sum_market_cap sum_indexes avg_market_cap avg_money
2018-5-10 608855.4175 3503 173.809711 70335439.082912
sum_market_cap sum_indexes avg_market_cap avg_money
2018-6-10 585073.0564 3503 167.02057 70335439.082912
sum_market_cap sum_indexes avg_market_cap avg_money
2018-7-10 535370.9446 3503 152.832128 70335439.082912
sum_market_cap sum_indexes avg_market_cap avg_money
2018-8-10 527002.2718 3504 150.400192 70338763.310528
sum_market_cap sum_indexes avg_market_cap avg_money
2018-9-10 507125.2365 3530 143.66154 71988650.143933
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