diff --git a/README.rst b/README.rst
index 1d7a7cf1..3f8d3c1f 100644
--- a/README.rst
+++ b/README.rst
@@ -21,8 +21,11 @@ Tiingo Python
      :target: https://mybinder.org/v2/gh/hydrosquall/tiingo-python/master?filepath=examples%2Fbasic-usage-with-pandas.ipynb
      :alt: Launch Binder
 
-
-
+.. image:: https://mybinder.org/badge_logo.svg
+    :target: https://mybinder.org/v2/gh/datatalking/tiingo-python/blob/datatalking-patch-1/examples/crypto-usage-tiingo-pandas.ipynb/HEAD
+    :alt: Launch Crypto Binder
+    
+    
 Tiingo is a financial data platform that makes high quality financial tools available to all. Tiingo has a REST and Real-Time Data API, which this library helps you to access. Presently, the API includes support for the following endpoints:
 
 * Stock Market Ticker Closing Prices + Metadata. Data includes full distribution details and is validated using a proprietary EOD Price Engine.
diff --git a/examples/crypto-usage-tiingo-pandas.ipynb b/examples/crypto-usage-tiingo-pandas.ipynb
new file mode 100644
index 00000000..64c8ca28
--- /dev/null
+++ b/examples/crypto-usage-tiingo-pandas.ipynb
@@ -0,0 +1,131 @@
+#%%
+#%% md
+
+# Tiingo Python for Cryptocurrencies
+
+
+This notebook shows basic usage of the `tiingo-python` library. If you're running this on `mybinder.org`, you can run this code without installing anything on your computer. You can find more information about what available at the [Tiingo website](https://api.tiingo.com/docs/general/overview), but this notebook will let you play around with real code samples in your browser.
+
+If you've never used `jupyter` before, I recommend this [tutorial](https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook) from Datacamp.
+
+#%% md
+
+## Basic Setup
+
+First, you'll need to provide your API key as a string in the cell below. If you forget to do this, the notebook cannot run. You can find your API key by visiting [this link](https://www.tiingo.com/account/api/token) and logging in to your Tiingo account.
+
+#%%
+
+!pip3 install os
+!pip3 install websocket
+!pip3 install json
+!pip3 install Tiingo.exceptions
+!pip3 install matplotlib
+!pip3 install pandas
+!pip3 install numpy
+!pip3 install pandas-datareader
+
+#%%
+
+TIINGO_API_KEY = '8c35e8407d4da9c94e39bdf0dbc7913a899c2377'
+
+# This is here to remind you to change your API key.
+if not TIINGO_API_KEY or (TIINGO_API_KEY == 'REPLACE-THIS-TEXT-WITH-A-REAL-API-KEY'):
+    raise Exception("Please provide a valid Tiingo API key!")
+
+#%%
+
+from tiingo import TiingoClient
+
+config = {
+    'api_key': TIINGO_API_KEY,
+    'session': True # Reuse HTTP sessions across API calls for better performance
+}
+
+# Throughout the rest of this notebook, you'll use the "client" to interact with the Tiingo backend services.
+client = TiingoClient(config)
+
+#%% md
+
+## Minimal Data Fetching Examples
+
+Below are the code samples from the `USAGE.rst` along with sample outputs, but this is just the tip of the iceberg of this library's capabilities.
+
+#%%
+
+client.get_crypto_metadata(['BTCUSD'], fmt='json')
+
+#%% md
+## Obtaining Quotes
+You can obtain top-of-book cryptocurrency quotes from the ``get_crypto_top_of_ ˓→book()`` method.
+NOTE: Crypto symbol MUST be encapsulated in brackets as a Python list!
+
+#%%
+crypto_price = client.get_crypto_top_of_book(['BTCUSD'])
+
+#%% md
+
+## Historical Crytocurrency Quotes
+You can obtain historical Cryptocurrency price quotes from the get_crypto_price_ ˓→history() method.
+NOTE: Crypto symbol MUST be encapsulated in brackets as a Python list!
+
+#%%
+client.get_crypto_price_history(tickers = ['BTCUSD'], startDate='2020-12-2', endDate='2020-12-3', resampleFreq='1Hour')
+
+#%% md
+
+## Token & RESTendpoint Together
+
+You can access crypto pricing with a specific ticker, startdate and resampled freqency.
+
+#%%
+from tiingo-python import RestClient
+
+client = RestClient(token='REPLACE-THIS-TEXT-WITH-A-REAL-API-KEY')
+prices = client.crypto.get_prices(tickers='BTCUSD',
+                                  startDate='2019-01-02',
+                                  resampleFreq='5min')
+
+#%% md
+
+## Cryptocurrency Tiingo and Pandas
+
+#%%
+
+import pandas as pd
+import numpy as np
+
+import pandas_datareader as pdr
+token='REPLACE-THIS-TEXT-WITH-A-REAL-API-KEY'
+
+#%%
+
+df = pdr.get_data_tiingo('BTCUSD', api_key=key)
+df.to_csv('BTCUSD.csv')
+df = pd.read_csv('BTCUSD.csv')
+#%% md
+
+## Pandas Dataframe head displays the top five rows by default
+
+For more questions Read The Manual ==> https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.head.html
+
+#%%
+
+df.head()
+#%% md
+
+## Pandas Dataframe taiil displays the top five rows by default
+
+For more questions Read The Manual ==> https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.tail.html
+
+
+#%%
+df.tail()
+
+#%% md
+
+## Pandas Dataframe tail showing last 100
+#%%
+df.tail(100)
+#%%
+df1 = df.reset_index()['close']
diff --git a/tiingo/api.py b/tiingo/api.py
index 9bd90b2d..5b0c7efa 100644
--- a/tiingo/api.py
+++ b/tiingo/api.py
@@ -310,8 +310,9 @@ def get_dataframe(
                 """When tickers is provided as a list, metric_name is a required argument.
             Please provide a metric_name, or call this method with one ticker at a time."""
             )
-
         params = {"format": fmt, "resampleFreq": frequency}
+        if includeIntradayVolume:
+            params['columns'] = 'open,high,low,close,volume'
         if startDate:
             params["startDate"] = startDate
         if endDate: