#df1
value         Symbol       Date   Type        Value
1109914    AUD 2016-01-29  value   64587.9121
1109949    CAD 2016-01-29  value   65357.1429
1109970    CHF 2016-01-29  value  111881.8681
1110012     DX 2016-01-29  value   91256.4103

#df2
volas         Symbol       Date  Type     Value
1109915    AUD 2016-01-29  vola  518.5091
1109950    CAD 2016-01-29  vola  360.9474
1109971    CHF 2016-01-29  vola  767.1880
1110013     DX 2016-01-29  vola  495.8913
1110041    EUR 2016-01-29  vola  876.6861
1110062    GBP 2016-01-29  vola  462.6425

df1["volas"] = df2["Value"]

1109921   NaN
1110089   NaN
1110138   NaN
1110159   NaN
1110257   NaN
1110450   NaN
1110618   NaN
1110667   NaN
1110688   NaN

market_values['Volas'] = [i for i in market_volas.Value]