### Entropy

Basics of Statistics - I
How to work with indicators
Indicator
Basics of Statistics - II
Entropy Basics
Entropy Core Strategies
Backtest Entropy Alpha Strategy with Futures Data Part I
Backtest Entropy Alpha Strategy with Futures Data Part II
Backtest Entropy Alpha Strategy with Equities Data
Entropy FAQs
Entropy Sessions

# Getting Historical Data of Reliance​ In Pandas Using Python and Zerodha API

Now, coming back to our old discussion of getting the historical data. So lets backtest from the start of 1/1/2019 to today. Although Kite gives data from far behind, Let’s just hold onto last few years to get faster results. You may chose older dates as you may please.
```				```
import datetime
starting_date=datetime.datetime(2019, 1, 1)
ending_date=datetime.datetime.today()
```
```

The starting_date and ending_date variables are now initiated with two datetime datatypes.

Now, lets fetch the data –

```				```
zap=kite.historical_data(token,starting_date,ending_date,"day")
zap= pd.DataFrame(zap)
```
```

It will output –

The initial display exhibits the first 10 rows, utilizing the ‘head’ function to offer a more concise data view of the Pandas Dataframe. It effectively presents OHLC data and volume for each day.

```				```
date	open	high	low	close	volume
0	2019-01-01 00:00:00+05:30	1072.60	1074.55	1058.15	1068.55	4674622
1	2019-01-02 00:00:00+05:30	1062.35	1074.25	1049.45	1054.60	7495772
2	2019-01-03 00:00:00+05:30	1055.65	1062.45	1039.05	1041.60	7812061
3	2019-01-04 00:00:00+05:30	1046.05	1052.75	1030.50	1047.25	8880761
4	2019-01-07 00:00:00+05:30	1055.20	1066.10	1049.45	1053.05	5784262
5	2019-01-08 00:00:00+05:30	1053.35	1058.00	1044.70	1052.95	5901336
6	2019-01-09 00:00:00+05:30	1059.95	1064.70	1047.30	1058.75	6049942
7	2019-01-10 00:00:00+05:30	1055.90	1059.00	1051.40	1055.65	4280616
8	2019-01-11 00:00:00+05:30	1055.75	1061.65	1037.65	1046.65	6781266
9	2019-01-14 00:00:00+05:30	1043.75	1049.00	1035.55	1045.45	4313661
```
```
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