Update README.md

Moved to GitLab

README.md

@@ -1,43 +1,15 @@
 # financial-data
-
 Intraday financial data files for backtesting or analysis. Currently this includes minute bars for:
 
 - S&P 500 from 2010-2018 in USD (SPXUSD)
 - NIKKEI 225 from 2010-2018 in JPY (JPXJPY)
 - DAX 30 from 2010-2018 in EUR (GRXEUR)
 - EUROSTOXX 50 from 2010-2018 in EUR (ETXEUR)
+- Currencies pairs: AUD_JPY, AUD_USD, EUR_USD, GBP_USD, USD_CAD
+- Cryptocurrencies pairs: BTC_USD, BTC_EUR, ETH_EUR
 
-## Data file path structure
-
-`data/<type>/<provider>/<instrument>`
-
-For example, `data/stocks/histdata/sp500/DAT_ASCII_SPXUSD_M1_2010.csv` is stock data for the S&P 500 index from the histdata provider.
-
-## Create a Pandas dataframe
-
-```python
-import pandas as pd
-
-year = 2017
-instrument = 'SPXUSD'
-provider = 'histdata'
-filename = 'data/stocks/{2}/{0}/DAT_ASCII_{0}_M1_{1}.csv'.format(instrument, year, provider)
-
-price_data = pd.read_csv(filename, index_col=0, delimiter=';', header=None)
-
-price_data.index.name = 'date'
-price_data.index = pd.to_datetime(price_data.index)
-price_data.drop(columns=[5], inplace=True)
-columns={1: 'open', 2: 'high', 3: 'low', 4: 'close'}
-price_data.rename(columns=columns, inplace=True)
+This package will parse the CSV files and return them as a [Pandas DataFrame](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html).
 
-price_data.head(3)
-```
+## Project moved to GitLab
 
-```
-                        open     high     low    close
-date
-2017-01-02 18:00:00  2241.00  2244.50  2241.0  2243.50
-2017-01-02 18:01:00  2243.75  2243.75  2243.0  2243.00
-2017-01-02 18:02:00  2243.25  2243.25  2243.0  2243.25
-```
+Due to volume of data in the project I have moved it to Gitlab: https://gitlab.com/user4725345/pyfinancialdata