McKlayne

#Import all packages needed
import pandas as pd
import numpy as np
from config import username, password
from progressbar import progressbar
from webull import webull # for paper trading, import 'paper_webull'

#login to webull/authenticate with API
wb = webull()
wb.login(username, password)

McKlayne

{
  "Version": "2008-10-17",
  "Statement": [
    {
      "Sid": "new statement",
      "Effect": "Allow",
      "Principal": {
        "AWS": [
          ***Your AWS Entities
        ]

McKlayne

# Define function directory
ARG FUNCTION_DIR="/function"

FROM python:buster as build-image

# Install aws-lambda-cpp build dependencies
RUN apt-get update && \
  apt-get install -y \
  g++ \
  make \

McKlayne

import pandas as pd
import sklearn
import xgboost as xgb


def handler(event, context):
    message = []
    message.append('The xgboost version is {}.'.format(xgb.__version__))
    message.append('The scikit-learn version is {}.'.format(sklearn.__version__))
    message.append('The pandas version is {}.'.format(pd.__version__))

McKlayne

import pandas as pd
import sklearn
import xgboost as xgb


def handler(event, context):
    message = []
    message.append('The xgboost version is {}.'.format(xgb.__version__))
    message.append('The scikit-learn version is {}.'.format(sklearn.__version__))
    message.append('The pandas version is {}.'.format(pd.__version__))

McKlayne

import sys
def handler(event, context): 
    return 'Hello from AWS Lambda using Python' + sys.version + '!'

McKlayne

# Define function directory
ARG FUNCTION_DIR="/function"

FROM python:buster as build-image

# Install aws-lambda-cpp build dependencies
RUN apt-get update && \
  apt-get install -y \
  g++ \
  make \

McKlayne

import os
import alpaca_trade_api as tradeapi
import pandas as pd
import numpy as np
import boto3
import ta

s3 = boto3.client('s3')
sns = boto3.client('sns')

McKlayne

import cbpro
import os
import websocket
import pprint
import ta
import numpy as np
import pandas as pd
import cbpro, time
public_client = cbpro.PublicClient()

McKlayne

# load required packages (must be previously installed)
import json
import requests
import networkx as nx
from itertools import combinations
import pandas as pd
pd.options.display.max_rows = 1000

# define the lists of ids and abbreviations
# make sure the abbreviations are in the same order as the corresponding cryptos in the id_list