scubamut

from flask import Flask, render_template

app = Flask(__name__)

@app.route('/')
@app.route('/index')
def index(chartID = 'chart_ID', chart_type = 'bar', chart_height = 350):
	chart = {"renderTo": chartID, "type": chart_type, "height": chart_height,}
	series = [{"name": 'Label1', "data": [1,2,3]}, {"name": 'Label2', "data": [4, 5, 6]}]
	title = {"text": 'My Title'}

scubamut

# 
import sys
!conda install --yes --prefix {sys.prefix}  -c anaconda beautifulsoup4

scubamut

# standard library
import os

# dash libs
import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import plotly.figure_factory as ff
import plotly.graph_objs as go

scubamut

from __future__ import print_function

!pip install git+https://github.com/scubamut/fintools.git
!pip install cvxopt
!pip install pyfolio
!pip install ffn
!pip install itable

!pip install git+https://github.com/pydata/pandas-datareader.git

scubamut

scubamut

# HOW TO PRINT BUNDLE SYMBOLS

import os
from pandas import Timestamp
from zipline.data.bundles import load

now = Timestamp.utcnow()
bundle = load('US_stock_bundle', os.environ, now)
symbols = set(str(asset.symbol) 
              for asset in bundle.asset_finder.retrieve_all(

scubamut

"""
This is a template algorithm on Quantopian for you to adapt and fill in.
"""
import pandas as pd
import numpy as np
 
def initialize(context):
    """
    Called once at the start of the algorithm.
    """   

scubamut

# https://www.quantopian.com/posts/introducing-the-pipeline-api

"""
This example comes from a request in the forums. 
The post can be found here: https://www.quantopian.com/posts/ranking-system-based-on-trading-volume-slash-shares-outstanding

The request was: 

I am stuck trying to build a stock ranking system with two signals:
1. Trading Volume/Shares Outstanding.

scubamut

# import research
from quantopian.research import run_pipeline

# import pipeline methods 
# from quantopian.algorithm import attach_pipeline, pipeline_output
from quantopian.pipeline import Pipeline, CustomFilter

# Fundamantals
from quantopian.pipeline.data import Fundamentals
from quantopian.pipeline.data import morningstar

scubamut

# import research
from quantopian.research import run_pipeline

# import pipeline methods 
# from quantopian.algorithm import attach_pipeline, pipeline_output
from quantopian.pipeline import Pipeline, CustomFilter

# Fundamantals
from quantopian.pipeline.data import Fundamentals
from quantopian.pipeline.data import morningstar