arshpreetsingh

from collections import defaultdict
from itertools import chain
from operator import methodcaller

# dictionaries with non-equal keys, values all lists for simplicity
one = {'a': {1, 2}, 'c': [5, 6], 'b': [3, 4], 'e': [6.2]}
two = {'a': {2.4, 3.4}, 'c': [5.6, 7.6], 'b': [3.5, 4.5], 'f': [1.3]}
three = {'a': [1.2], 'c': [3.4], 'b': [2.3], 'e': [3.1],'f':[1,2,3,4,5]}
dict_list = [one,two,three]

arshpreetsingh

############################
# Build tools binaries in separate image
############################
FROM golang:alpine AS tools

ENV TOOLS_VERSION 0.4.1

RUN apk update && apk add --no-cache git \
    && mkdir -p ${GOPATH}/src/github.com/timescale/ \
    && cd ${GOPATH}/src/github.com/timescale/ \

arshpreetsingh

FROM gliderlabs/alpine:3.3


RUN \
  apk --update add autoconf autoconf-doc automake c-ares c-ares-dev curl gcc libc-dev libevent libevent-dev libtool make man openssl-dev pkgconfig && \
  curl -o  /tmp/pgbouncer-1.9.0.tar.gz -L https://pgbouncer.github.io/downloads/files/1.9.0/pgbouncer-1.9.0.tar.gz && \
  cd /tmp && \
  tar xvfz /tmp/pgbouncer-1.9.0.tar.gz && \
  cd pgbouncer-1.9.0 && \
  ./configure --prefix=/usr && \

arshpreetsingh

#!/bin/bash
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

arshpreetsingh

from flask import Flask
from time import sleep
from concurrent.futures import ThreadPoolExecutor

# DOCS https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.ThreadPoolExecutor
executor = ThreadPoolExecutor(2)

app = Flask(__name__)

arshpreetsingh

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

import boto3
class AmazonTask(object):
 
    def __init__(self,amazon_key,secret_key,bucket_name):
        self.amazon_key=amazon_key
        self.bucket_name=bucket_name
        self.aws_secret=secret_key

arshpreetsingh

from amadeus import Flights

flights = Flights('QMrAAoM8koigSU9t1FCfWVALLoFT1DKv')

resp = flights.extensive_search(
    origin='NCE',
    destination='LAS',
    departure_date='2017-11-25--2017-11-30',
    duration='4--10')
print resp

arshpreetsingh

import couchbase.subdocument as SD
from couchbase.bucket import Bucket

# Connecting to DB          

cb = Bucket('couchbase:///www', username = 'user_arsh',password='Amber252556!@')

# Creating DB
cb.upsert('55',{'55':[{'text':'text','user_id':'user_id','created_at':'created_at','time':'time'}]}) # only run once

arshpreetsingh

#!/usr/bin/python

# required imports
import requests

class TradeClient(object):	
	
	"""    Client for tradidng through WebAPI
	"""
	

arshpreetsingh

"""
Important notes about model

Training Machine-Learning model is trained every Monday (I found that if I train my model every-day it shows less returns)

Trading is happening after each 10 minutes 

Machine_learning Model: 

I am using two independent Features: '5 minutes price change' and '15 minutes price change'