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import argparse
import sys
import tempfile
from time import time
import random
from os import listdir
from os.path import isfile, join


import pandas

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import matplotlib.pyplot as plt
from datetime import datetime
import alpaca_trade_api as tradeapi
import numpy as np

from positionhandling import positionHandler
import loader

api = tradeapi.REST()

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[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[packages]
requests = "*"
BeautifulSoup4 = "*"
IPython = "*"
pandas = "*"

umitanuki

from pylivetrader.api import (
    attach_pipeline,
    date_rules,
    time_rules,
    order,
    get_open_orders,
    cancel_order,
    pipeline_output,
    schedule_function,
)

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import backtrader as bt
import alpaca_backtrader_api
import pandas as pd

class SmaCross(bt.SignalStrategy):
    def __init__(self):
        sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)
        crossover = bt.ind.CrossOver(sma1, sma2)
        self.signal_add(bt.SIGNAL_LONG, crossover)

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import pandas as pd
'''
brew install phantomjs
or
brew tap homebrew/cask
brew cask install chromedriver
'''
# from selenium import webdriver
from selenium.webdriver.chrome.webdriver import WebDriver

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var PositionRowStart = 17;

function _request(path, params) {
  var headers = {
    "APCA-API-KEY-ID": "*** API key ID ***",
    "APCA-API-SECRET-KEY": "*** API secret key",
  };
  
  var endpoint = "https://api.alpaca.markets";

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using System;
using System.Configuration;
using Alpaca.Markets;

namespace example
{
    class Program
    {
        static void Main(string[] args)
        {

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[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[packages]
pipeline-live = ""
ipython = "*"
ta-lib = "*"

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# For this example, we're going to write a simple momentum script.  
# When the stock goes up quickly, we're going to buy; 
# when it goes down we're going to sell.  
# Hopefully we'll ride the waves.

from collections import deque
import math
import talib

atr = ta.ATR(timeperiod=20) # used to calculate 20-day ATR