whittlem

from flask import Flask

app = Flask(__name__)

@app.route("/")
def hello():
    return "Hello world!"

whittlem

from models.PyCryptoBot import PyCryptoBot
from models.exchange.coinbase_pro import PublicAPI as CPublicAPI
from models.Trading import TechnicalAnalysis

app = PyCryptoBot(exchange='coinbasepro')
api = CPublicAPI()

df = app.getHistoricalDataChained('BTC-GBP', 3600, 5)
model = TechnicalAnalysis(df)
model.addAll()

whittlem

import json
import boto3 
import botocore.config
import pymysql

client = boto3.client('s3', 'eu-west-1', config=botocore.config.Config(s3={'addressing_style':'path'}))

def lambda_handler(event, context):
    bucket_name = event["Records"][0]["s3"]["bucket"]["name"]
    s3_file_name = event["Records"][0]["s3"]["object"]["key"]

whittlem

import json
import boto3
import email
import os
from datetime import datetime
import re

def get_timestamp():
    current = datetime.now()
    return(str(current.year) + '-' + str(current.month) + '-' + str(current.day) + '-' + str(current.hour) + '-' + str(current.minute) + '-' + str(current.second))

whittlem

def mount_gdrive():
  if not os.path.isdir('/content/gdrive'):
    drive.mount('/content/gdrive')

def build():
  root_dir = os.environ['GDRIVE_ROOT']
  project_name = os.environ['PROJECT_NAME']
  tensorflow_model = os.environ['TENSORFLOW_MODEL']

  os.chdir(f'/content/gdrive/MyDrive/{root_dir}/models/research')

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def mount_gdrive():
  if not os.path.isdir('/content/gdrive'):
    drive.mount('/content/gdrive')

def create_gdrive_directory_structure():
  global labels

  root_dir = os.environ['GDRIVE_ROOT']
  project_name = os.environ['PROJECT_NAME']
  tensorflow_model = os.environ['TENSORFLOW_MODEL']

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""" Sample TensorFlow XML-to-TFRecord converter

usage: generate_tfrecord.py [-h] [-x XML_DIR] [-l LABELS_PATH] [-o OUTPUT_PATH] [-i IMAGE_DIR] [-c CSV_PATH]

optional arguments:
  -h, --help            show this help message and exit
  -x XML_DIR, --xml_dir XML_DIR
                        Path to the folder where the input .xml files are stored.
  -l LABELS_PATH, --labels_path LABELS_PATH
                        Path to the labels (.pbtxt) file.

whittlem

import requests
from datetime import datetime
import matplotlib.pyplot as plt


def cbpGetHistoricRates(market='BTC-GBP', granularity=86400, iso8601start='', iso8601end=''):
    api = 'https://api.pro.coinbase.com/products/' + market + '/candles?granularity=' + \
        str(granularity) + '&start=' + iso8601start + '&end=' + iso8601end
    resp = requests.get(api)
    if resp.status_code != 200:

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# https://levelup.gitconnected.com/trading-using-python-simple-moving-average-sma-8713caf0d4ee

import requests
from datetime import datetime

# granularity: 60, 300, 900, 3600, 21600, 86400


def cbpGetHistoricRates(market='BTC-GBP', granularity=86400, iso8601start='', iso8601end=''):
    api = 'https://api.pro.coinbase.com/products/' + market + '/candles?granularity=' + \

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# data: dictionary { 'dd/mm/yyy': price, 'dd/mm/yyyy': price, ... }
# num: range in the average calculation, normally 9 to 26


def simpleMovingAverage(data, num):
    if not isinstance(data, dict):
        raise Exception('Dictionary input expected')
    if not isinstance(num, int):
        raise Exception('Integer input expected')
    if num < 5 or num > 200: