ranaroussi

import uuid
import wtforms_json
from sqlalchemy import not_
from sqlalchemy.dialects.postgresql import UUID
from wtforms import Form
from wtforms.fields import FormField, FieldList
from wtforms.validators import Length

from flask import current_app as app
from flask import request, json, jsonify, abort

ranaroussi

"""
Retrieve Pre-Market data from Google Finance
Ported to Python 3.x
Original code by Dr. Pawel Lachowicz
http://www.quantatrisk.com/2015/05/07/hacking-google-finance-in-pre-market-trading-python/
"""

import requests
import json
from time import sleep

ranaroussi

# Place this script in
# ~/.ipython/profile_default/startup

# -------------------------------------------
import pandas_profiling
from pandas.core.base import PandasObject

def df_profile(df):
    return pandas_profiling.ProfileReport(df)

ranaroussi

# encrypt/descrupy
encrypt(){
    if [  -z "$1" ]
    then
        echo "Missing argument: Use encrypt [in] [out]"
    else
        if [  -z "$2" ]
        then
            cp $1 /tmp/$1
            openssl enc -aes-256-cbc -e -in /tmp/$1 -out $1

ranaroussi

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

import ezibpy
import time

# initialize ezIBpy
ibConn = ezibpy.ezIBpy()
ibConn.connect(clientId=1234, host="localhost", port=7497)

ranaroussi

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

import ezibpy
import time

# ---------------------
# create a callback method to be called on every tick/bid/ask
def ibCallback(caller, msg, **kwargs):
    if "tick" in kwargs:

ranaroussi

import ezibpy
import time
 
# initialize ezIBpy
ibConn = ezibpy.ezIBpy()
ibConn.connect(clientId=100, host="localhost", port=4001)
 
# create a contract
contract = ibConn.createStockContract("AAPL")
 

ranaroussi

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
A Generic method to save Pandas objects to file, 
based on file extension found in the output path.

Usage:
df.to_file("/path/to/file.csv")
"""

ranaroussi

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import matplotlib.pyplot as plt

# future-compatibility with Panda 0.25
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()

import numpy as np

ranaroussi

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
example of a rapid prototyping of a strategy idea using pandas
(c) Ran Aroussi <http://aroussi.com>
"""

import matplotlib.pyplot as plt
from pandas_datareader import data