Instantly Getting Started on Google Colab

This notebook is intended as a one page sharable introduction to the PaxFinancial SDK. It will get you started, with some data, so you can begin to consider more advanced examples. This specific example is meant to be run on google collabratory and may not be suited for a local installation. To install on a general system see paxfinancial.ai . To view this directly on google colab, please visit The Colab Notebook.

1. Link your Google Drive

First, we will need to clone the Pax Financial Examples repo locally, so we can use it to display some data.

from google.colab import drive
drive.mount("/content/gdrive")

2. Download the Pax Financial Examples repository

Second, we will pull the latest examples repository, which includes a deployment of the paxdk.

! mkdir "gdrive/My Drive/pax_financial_example/"

mkdir: cannot create directory âgdrive/My Drive/pax_financial_example/â: File exists

%cd "gdrive/My Drive/pax_financial_example/"

/content/gdrive/My Drive/pax_financial_example

! git clone https://github.com/JustinGirard/PaxFinancialExamples.git

Cloning into 'PaxFinancialExamples'...
remote: Enumerating objects: 250, done.[K
remote: Counting objects: 100% (250/250), done.[K
remote: Compressing objects: 100% (133/133), done.[K
remote: Total 250 (delta 86), reused 242 (delta 78), pack-reused 0[K
Receiving objects: 100% (250/250), 1.44 MiB | 3.22 MiB/s, done.
Resolving deltas: 100% (86/86), done.

! ls "PaxFinancialExamples"

docs  examples  paxdk  README.md  setup.py  tests

3. Pull Some Example Data

Using the supplied api key, you can now pull some data. In this example we will look at minute level data from AAPL and compare it with BTCUSDT in the last few days.

3.1.1 Import the paxdk library

import sys
sys.path.append("/content/gdrive/My Drive/pax_financial_example/PaxFinancialExamples/paxdk/")
import paxdk

PaxFinancialAPI v4 loaded!

api_key = 'PUT_IN_YOUR_API_KEY'
pq = paxdk.PaxFinancialAPI(url_version='dev',api_key=api_key)

3.1.2 Display financial data

import pandas as pd
import datetime

bars = pq.get_historical_hour({'api_key':api_key,
                                'time_in':datetime.datetime(2020,4,1,10),
                                'time_end':datetime.datetime(2020,4,1,12),
                                'Ticker':'BTCUSDT',
                                                             },remote=True)
df=pd.DataFrame(bars)
df[['DateTime','Ticker','OpenPrice','ClosePrice','HighPrice','LowPrice']]

	DateTime	Ticker	OpenPrice	ClosePrice	HighPrice	LowPrice
0	2020-04-01 10:00:00	BTCUSDT	6298.74	6295.03	6318.89	6288.02
1	2020-04-01 11:00:00	BTCUSDT	6295.03	6294.25	6301.76	6271.20
2	2020-04-01 12:00:00	BTCUSDT	6294.25	6217.51	6332.16	6215.66