Requirement
- USB flash drive - this is where the container filesystem will be persisted
Set-up docker bridge network
/interface bridge add name=docker
Set-up veth
to be used by container
Requirement
Set-up docker bridge network
/interface bridge add name=docker
Set-up veth
to be used by container
(?i)((access_key|access_token|admin_pass|admin_user|algolia_admin_key|algolia_api_key|alias_pass|alicloud_access_key|amazon_secret_access_key|amazonaws|ansible_vault_password|aos_key|api_key|api_key_secret|api_key_sid|api_secret|api.googlemaps AIza|apidocs|apikey|apiSecret|app_debug|app_id|app_key|app_log_level|app_secret|appkey|appkeysecret|application_key|appsecret|appspot|auth_token|authorizationToken|authsecret|aws_access|aws_access_key_id|aws_bucket|aws_key|aws_secret|aws_secret_key|aws_token|AWSSecretKey|b2_app_key|bashrc password|bintray_apikey|bintray_gpg_password|bintray_key|bintraykey|bluemix_api_key|bluemix_pass|browserstack_access_key|bucket_password|bucketeer_aws_access_key_id|bucketeer_aws_secret_access_key|built_branch_deploy_key|bx_password|cache_driver|cache_s3_secret_key|cattle_access_key|cattle_secret_key|certificate_password|ci_deploy_password|client_secret|client_zpk_secret_key|clojars_password|cloud_api_key|cloud_watch_aws_access_key|cloudant_password|cloudflare_api_key|cloudflare_auth_k |
# high-low spread estimator (hlse) | |
def hlse(ohlc_df, frequency='daily'): | |
""" | |
Computes the high-low spread estimator, an estimate of bid-offer spreads, a measure of liquidity risk. | |
See Corwin & Schultz (2011) for details: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1106193 | |
Parameters | |
---------- | |
ohlc_df: DataFrame | |
DataFrame with DatetimeIndex and Open, High, Low and Close (OHLC) prices from which to compute the high-low spread estimates. |
import pandas as pd | |
import numpy as np | |
import datetime as dt | |
import math | |
import warnings | |
warnings.filterwarnings("ignore") | |
prices = pd.read_csv("adjclose.csv", index_col="Date", parse_dates=True) | |
volumechanges = pd.read_csv("volume.csv", index_col="Date", parse_dates=True).pct_change()*100 |
# -*- coding: utf-8 -*- | |
""" | |
Created on Fri Jun 02 17:02:32 2017 | |
@author: Vangelis@logical-invest.com | |
This script will pull the symbols from your specified Amibroker database and download historical EOD dividend adjusted data from Tiingo.com and will store them | |
in a folder (Destop/Data/TiingoEOD) as csv files, one for each stock (APPLE.csv SPY.csv, etc) | |
It will then attempt to open Amibroker and import the csv files. | |
You need: | |
1. To add your own Token number you will get when you register at Tiingo.com (line 51) | |
2. Specify the Amibroker database you want updated (line 99) |
//Marketcalls Backtesting Tutorial | |
_SECTION_BEGIN("EMA Crossover Trading System"); | |
SetChartOptions(0,chartShowArrows|chartShowDates); | |
//Plot CandleSticks | |
Plot( C, "Price", ParamColor( "Color", colorDefault ), ParamStyle( "Style", styleCandle, maskPrice ) ); | |
//Compute EMA 20 and EMA50 |
#!/usr/bin/env bash | |
#Assuming same user name for all hosts | |
USER_NAME='gatling' | |
#Remote hosts list | |
HOSTS=(node1-load.some.host node2-load.some.host node3-load.some.host node4-load.some.host) | |
#Assuming all Gatling installation in same path (with write permissions) | |
GATLING_HOME=/opt/loadtest/ | |
#No need to change this | |
REMOTE_REPORT_DIR=/opt/loadtest/target/gatling/ |