diff --git a/CEDA/MacroEcon/cn.py b/CEDA/MacroEcon/cn.py
index 367f396..8a8884a 100644
--- a/CEDA/MacroEcon/cn.py
+++ b/CEDA/MacroEcon/cn.py
@@ -18,7 +18,7 @@ def gdp_quarterly():
     YoY: year on year growth
     Data source: http://data.eastmoney.com/cjsj/gdp.html
     """
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -66,7 +66,7 @@ def ppi_monthly():
     Accum: Accumulation
     Data source: http://data.eastmoney.com/cjsj/ppi.html
     """
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -105,7 +105,7 @@ def cpi_monthly():
     Data source: http://data.eastmoney.com/cjsj/cpi.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -170,7 +170,7 @@ def pmi_monthly():
     Data Source: http://data.eastmoney.com/cjsj/pmi.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -209,7 +209,7 @@ def fai_monthly():  # fix asset investment
     Data Source: http://data.eastmoney.com/cjsj/gdzctz.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -248,7 +248,7 @@ def hi_old_monthly():  # house index old version (2008-2010)
     Data Source: http://data.eastmoney.com/cjsj/house.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -295,7 +295,7 @@ def hi_new_monthly(city1: str, city2: str):
     Data Source: http://data.eastmoney.com/cjsj/newhouse.html
     """
     tmp_url = "http://data.eastmoney.com/dataapi/cjsj/getnewhousechartdata?"
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params_nbch_MoM = {
         "mkt": "1",
@@ -379,7 +379,7 @@ def ci_eei_monthly():  # Climate Index & Entrepreneur Expectation Index
     Data Source: http://data.eastmoney.com/cjsj/qyjqzs.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -421,7 +421,7 @@ def ig_monthly():  # Industry Growth
     Data Source: http://data.eastmoney.com/cjsj/gyzjz.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -456,7 +456,7 @@ def cgpi_monthly():  # Corporate Goods Price Index
     Data Source: http://data.eastmoney.com/cjsj/qyspjg.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -517,7 +517,7 @@ def cci_csi_cei_monthly():  # Consumer Confidence Index & Consumer Satisfaction
     Data Source: http://data.eastmoney.com/cjsj/xfzxx.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -565,7 +565,7 @@ def trscg_monthly():  # Total Retail Sales of Consumer Goods
     Data Source: http://data.eastmoney.com/cjsj/xfp.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -606,7 +606,7 @@ def ms_monthly():  # monetary Supply
     Data Source: http://data.eastmoney.com/cjsj/hbgyl.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -650,7 +650,7 @@ def ie_monthly():  # Import & Export
     Data Source: http://data.eastmoney.com/cjsj/hgjck.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -704,7 +704,7 @@ def stock_monthly():  # Import & Export
     Data Source: http://data.eastmoney.com/cjsj/gpjytj.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -747,7 +747,7 @@ def fgr_monthly():  # Forex and Gold Reserve
     Data Source: http://data.eastmoney.com/cjsj/gpjytj.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -790,7 +790,7 @@ def ctsf_monthly():  # Client Transaction Settlement Funds
     http://data.eastmoney.com/cjsj/banktransfer.html
     """
     tmp_url = "http://data.eastmoney.com/dataapi/cjsj/getbanktransferdata?"
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "p": "1",
@@ -814,7 +814,7 @@ def sao_monthly():  # Stock Account Overview
     http://data.eastmoney.com/cjsj/gpkhsj.html
     """
     tmp_url = "http://dcfm.eastmoney.com/em_mutisvcexpandinterface/api/js/get?"
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "callback": "datatable4006236",
@@ -858,7 +858,7 @@ def fdi_monthly():  # Foreign Direct Investment
     http://data.eastmoney.com/cjsj/fdi.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -897,7 +897,7 @@ def gr_monthly():  # Government Revenue
     http://data.eastmoney.com/cjsj/czsr.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -935,7 +935,7 @@ def ti_monthly():  # Tax Income
     http://data.eastmoney.com/cjsj/qgsssr.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -971,7 +971,7 @@ def nl_monthly():  # New Loan
     http://data.eastmoney.com/cjsj/xzxd.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -1009,7 +1009,7 @@ def dfclc_monthly():  # Deposit of Foreign Currency and Local Currency
     http://data.eastmoney.com/cjsj/wbck.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -1046,7 +1046,7 @@ def fl_monthly():  # Forex Loan
     http://data.eastmoney.com/cjsj/whxd.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -1083,7 +1083,7 @@ def drr_monthly():  # Deposit Reserve Ratio
     http://data.eastmoney.com/cjsj/ckzbj.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -1136,7 +1136,7 @@ def interest_monthly():  # Interest
     http://data.eastmoney.com/cjsj/yhll.html
     """
     tmp_url = url["eastmoney"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["eastmoney"]
     request_params = {
@@ -1188,7 +1188,7 @@ def gdc_daily():  # gasoline, Diesel and Crude Oil
     http://data.eastmoney.com/cjsj/oil_default.html
     """
     tmp_url = "http://datacenter-web.eastmoney.com/api/data/get?"
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "callback": "jQuery112302601302322321093_1622082348721",
diff --git a/CEDA/MacroEcon/eu.py b/CEDA/MacroEcon/eu.py
index 7580ff6..71bc340 100644
--- a/CEDA/MacroEcon/eu.py
+++ b/CEDA/MacroEcon/eu.py
@@ -5,7 +5,6 @@ import demjson
 import requests
 from fake_useragent import UserAgent
 
-
 url = {
     "eurostat": "http://ec.europa.eu/eurostat/wdds/rest/data/v2.1/json/en/",
     "ecb": "https://sdw-wsrest.ecb.europa.eu/service/data/"
@@ -26,7 +25,7 @@ class ecb_data(object):
         """
         """
         tmp_url = self.url + "{}/".format(datacode) + "{}".format(key)
-        ua = UserAgent()
+        ua = UserAgent(verify_ssl=False)
         request_header = {"User-Agent": ua.random, 'Accept': 'text/csv'}
         request_params = {
             "startPeriod": "{}".format(startdate),
@@ -53,7 +52,7 @@ class eurostat_data(object):
         """
         """
         tmp_url = self.url + "{}".format(datasetcode)
-        ua = UserAgent()
+        ua = UserAgent(verify_ssl=False)
         request_header = {"User-Agent": ua.random, 'Accept': 'text/csv'}
         request_params = {
             "precision": "{}".format(precision),
diff --git a/CEDA/MacroEcon/us.py b/CEDA/MacroEcon/us.py
index e0e56a5..6d8fcff 100644
--- a/CEDA/MacroEcon/us.py
+++ b/CEDA/MacroEcon/us.py
@@ -20,7 +20,7 @@ def gdp_quarterly(startdate="1947-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "GDP",
@@ -39,7 +39,7 @@ def gdpc1_quarterly(startdate="1947-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "GDPC1",
@@ -58,7 +58,7 @@ def oecd_gdp_monthly(startdate="1947-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "USALORSGPNOSTSAM",
@@ -77,7 +77,7 @@ def payems_monthly(startdate="1939-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "PAYEMS",
@@ -96,7 +96,7 @@ def unrate(startdate="1948-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "LRUN64TTUSM156S",
@@ -107,7 +107,7 @@ def unrate(startdate="1948-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_monthly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_monthly["DATE"] = pd.to_datetime(df_monthly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "LRUN64TTUSQ156S",
@@ -118,7 +118,7 @@ def unrate(startdate="1948-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "LRUN64TTUSA156S",
@@ -141,7 +141,7 @@ def erate(startdate="1955-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "LREM25TTUSM156S",
@@ -152,7 +152,7 @@ def erate(startdate="1955-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_monthly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_monthly["DATE"] = pd.to_datetime(df_monthly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "LREM25TTUSQ156S",
@@ -163,7 +163,7 @@ def erate(startdate="1955-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "LREM25TTUSA156S",
@@ -185,7 +185,7 @@ def pce_monthly(startdate="1959-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "PCE",
@@ -204,7 +204,7 @@ def cpi(startdate="1960-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "CPALTT01USM661S",
@@ -215,7 +215,7 @@ def cpi(startdate="1960-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_monthly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_monthly["DATE"] = pd.to_datetime(df_monthly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "CPALTT01USQ661S",
@@ -226,7 +226,7 @@ def cpi(startdate="1960-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "CPALTT01USA661S",
@@ -249,7 +249,7 @@ def m1(startdate="1960-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "WM1NS",
@@ -260,7 +260,7 @@ def m1(startdate="1960-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_weekly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_weekly["DATE"] = pd.to_datetime(df_weekly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "MANMM101USM657S",
@@ -271,7 +271,7 @@ def m1(startdate="1960-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_monthly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_monthly["DATE"] = pd.to_datetime(df_monthly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "MANMM101USQ657S",
@@ -282,7 +282,7 @@ def m1(startdate="1960-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "MANMM101USA657S",
@@ -306,7 +306,7 @@ def m2(startdate="1960-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "WM2NS",
@@ -317,7 +317,7 @@ def m2(startdate="1960-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_weekly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_weekly["DATE"] = pd.to_datetime(df_weekly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "M2SL",
@@ -338,7 +338,7 @@ def m3(startdate="1960-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "MABMM301USM657S",
@@ -349,7 +349,7 @@ def m3(startdate="1960-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_monthly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_monthly["DATE"] = pd.to_datetime(df_monthly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "MABMM301USQ657S",
@@ -360,7 +360,7 @@ def m3(startdate="1960-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "MABMM301USA657S",
@@ -383,7 +383,7 @@ def ltgby(startdate="1955-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "IRLTLT01USM156N",
@@ -394,7 +394,7 @@ def ltgby(startdate="1955-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_monthly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_monthly["DATE"] = pd.to_datetime(df_monthly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "IRLTLT01USQ156N",
@@ -405,7 +405,7 @@ def ltgby(startdate="1955-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "IRLTLT01USA156N",
@@ -428,7 +428,7 @@ def gdp_ipd(startdate="1955-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "USAGDPDEFQISMEI",
@@ -439,7 +439,7 @@ def gdp_ipd(startdate="1955-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "USAGDPDEFAISMEI",
@@ -461,7 +461,7 @@ def cci(startdate="1955-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "CSCICP03USM665S",
@@ -481,7 +481,7 @@ def bci(startdate="1955-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "BSCICP03USM665S",
@@ -502,7 +502,7 @@ def ibr_3(startdate="1965-01-01", enddate="2021-01-01"):
     Description: Percent, Not Seasonally Adjusted, Monthly and Quarterly
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "IR3TIB01USM156N",
@@ -513,7 +513,7 @@ def ibr_3(startdate="1965-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_monthly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_monthly["DATE"] = pd.to_datetime(df_monthly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "IR3TIB01USQ156N",
@@ -533,7 +533,7 @@ def gfcf_3(startdate="1965-01-01", enddate="2021-01-01"):
     Description: United States Dollars,Not Seasonally Adjusted, Quarterly and Annually
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "USAGFCFQDSMEI",
@@ -544,7 +544,7 @@ def gfcf_3(startdate="1965-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "USAGFCFADSMEI",
@@ -566,7 +566,7 @@ def pfce(startdate="1955-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "USAPFCEQDSMEI",
@@ -577,7 +577,7 @@ def pfce(startdate="1955-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "USAPFCEADSMEI",
@@ -598,7 +598,7 @@ def tlp(startdate="1955-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "ULQELP01USQ657S",
@@ -609,7 +609,7 @@ def tlp(startdate="1955-01-01", enddate="2021-01-01"):
     data_text = r.content
     df_quarterly = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
     df_quarterly["DATE"] = pd.to_datetime(df_quarterly["DATE"], format="%Y-%m-%d")
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "ULQELP01USQ659S",
@@ -630,7 +630,7 @@ def rt(startdate="1955-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "USASARTMISMEI",
@@ -662,7 +662,7 @@ def bir(startdate="2003-01-01", enddate="2021-01-01"):
     Return: pd.DataFrame
     """
     tmp_url = url["fred_econ"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "id": "T5YIE",
@@ -691,7 +691,7 @@ def adsbci():
     """
     An index designed to track real business conditions at high observation frequency
     """
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = url["philfed"] + "ads"
     r = requests.get(tmp_url, headers = request_header)
@@ -719,7 +719,7 @@ def inflation_noewcasting():
     """
     
     """
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     tmp_url = "https://www.clevelandfed.org/~/media/files/charting/%20nowcast_quarter.json"
 
diff --git a/CEDA/Market/__init__.py b/CEDA/Market/__init__.py
index 3efca89..89ed024 100644
--- a/CEDA/Market/__init__.py
+++ b/CEDA/Market/__init__.py
@@ -1,4 +1,4 @@
 # -*- coding: utf-8 -*-
 # time: 05/29/2021 UTC+8
 # author: terencelau
-# email: t_lau@uicstat.com
\ No newline at end of file
+# email: t_lau@uicstat.com
diff --git a/CEDA/Market/market.py b/CEDA/Market/market.py
index ae146bb..3cd32e4 100644
--- a/CEDA/Market/market.py
+++ b/CEDA/Market/market.py
@@ -13,7 +13,6 @@ url = {
     "moneywatch": "https://www.marketwatch.com/investing/"
 }
 
-
 def dukascopy(
         instrument: str,
         startdate: str,
@@ -23,7 +22,7 @@ def dukascopy(
         volume: bool,
         flat: bool):
     tmp_url = url["dukascopy"]
-    ua = UserAgent()
+    ua = UserAgent(verify_ssl=False)
     request_header = {"User-Agent": ua.random}
     request_params = {
         "instrument": "{}".format(instrument),
@@ -50,30 +49,66 @@ def dukascopy(
     ]
     return df
 
-def currency_list(instrument = "eurusd", startdate="01/01/2020", enddate = "01/01/2021"):
+def FX(instrument = "eurusd", startdate="01/01/2020", enddate = "01/01/2021", long=False):
     """
     https://www.marketwatch.com/investing/
     """
-    tmp_url = url["moneywatch"] + "currency/{}/downloaddatapartial".format(instrument)
-    ua = UserAgent()
-    request_header = {"User-Agent": ua.random}
-    request_params = urlencode({
-        "startdate": r"{}".format(startdate),
-        "enddate": r"{}".format(enddate),
-        "daterange": "d30",
-        "frequency": "p1d",
-        "csvdownload": "true",
-        "downloadpartial": "false",
-        "newdates": "false"}, quote_via= quote)
-    r = requests.get(tmp_url, params=request_params, headers=request_header)
-    data_text = r.content
-    df = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
-    Date = []
-    for i in range(0, len(df)):
-        Date.append(datetime.strptime(df["Date"][i], "%m/%d/%Y"))
-    
-    df["Date"] = Date
-    return df
+    if long == False:
+        tmp_url = url["moneywatch"] + "currency/{}/downloaddatapartial".format(instrument)
+        ua = UserAgent(verify_ssl=False)
+        request_header = {"User-Agent": ua.random}
+        request_params = urlencode({
+            "startdate": r"{}".format(startdate),
+            "enddate": r"{}".format(enddate),
+            "daterange": "d30",
+            "frequency": "p1d",
+            "csvdownload": "true",
+            "downloadpartial": "false",
+            "newdates": "false"}, quote_via= quote)
+        r = requests.get(tmp_url, params=request_params.replace("%2F", "/").replace("%20", " ").replace("%3A", ":"), headers=request_header)
+        data_text = r.content
+        df = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
+        Date = []
+        for i in range(0, len(df)):
+            Date.append(datetime.strptime(df["Date"][i], "%m/%d/%Y"))
+        
+        df["Date"] = Date
+        return df
+    else:
+        tmp_url = url["moneywatch"] + "currency/{}/downloaddatapartial".format(instrument)
+        ua = UserAgent(verify_ssl=False)
+        request_header = {"User-Agent": ua.random}
+        df = pd.DataFrame()
+        for i in range(int(startdate[6:10]), int(enddate[6:10])):
+            tmp_startdate = "01/01/" + str(i) + " 00:00:00"
+            if i+1 == int(enddate[6:10]):
+                tmp_enddate = enddate[0:6] + str((i+1)) + " 00:00:00"
+            else:
+                tmp_enddate = "01/01" + str((i+1)) + " 00:00:00"
+            request_params = urlencode({
+                "startdate": r"{}".format(tmp_startdate),
+                "enddate": r"{}".format(tmp_enddate),
+                "daterange": "d30",
+                "frequency": "p1d",
+                "csvdownload": "true",
+                "downloadpartial": "false",
+                "newdates": "false"}, quote_via= quote)
+            r = requests.get(tmp_url, params=request_params.replace("%2F", "/").replace("%20", " ").replace("%3A", ":"), headers=request_header)
+            data_text = r.content
+            tmp_df = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
+            Date = []
+            for i in range(0, len(tmp_df)):
+                Date.append(datetime.strptime(tmp_df["Date"][i], "%m/%d/%Y"))
+            
+            tmp_df["Date"] = Date
+            if i == int(startdate[6:10]):
+                df = tmp_df
+            else:
+                df = pd.concat([tmp_df, df], axis=0) 
+        
+        df.reset_index(drop=True, inplace = True)
+        return df
+
 
 
 if __name__ == "__main__":
@@ -84,3 +119,6 @@ if __name__ == "__main__":
                        pricetype="bid",
                        volume=True,
                        flat=True)
+
+
+#https://www.marketwatch.com/investing/currency/eurusd/downloaddatapartial?startdate=01/04/1971 00:00:00&enddate=06/04/2021 00:00:00&daterange=d30&frequency=p1d&csvdownload=true&downloadpartial=false&newdates=false
\ No newline at end of file
diff --git a/CEDA/__init__.py b/CEDA/__init__.py
index 61896a0..32568a2 100644
--- a/CEDA/__init__.py
+++ b/CEDA/__init__.py
@@ -1 +1 @@
-from CEDA import * 
+from CEDA import * 
\ No newline at end of file
diff --git a/setup.py b/setup.py
index 117a3bc..bfb7b7f 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@ from setuptools import setup, find_packages
 import os
 setup(
     name = "CEDApy",
-    version = "1.0.6",
+    version = "1.0.8",
     keywords = "quantitative economic data",
     long_description = open(
     os.path.join(
@@ -23,7 +23,8 @@ setup(
         "html5lib>=1.0.1",
         "xlrd==1.2.0",
         "bs4",
-        "urllib3>=1.26.5"
+        "urllib3>=1.26.5",
+        "fake-useragent"
     ],
     license = "MIT",
     classifiers=[