h4x0r-dz

(?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

nicklatin

# 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.

craigtp

Advanced Distributed System Design Course - Udi Dahan

Notes by Craig Phillips

Fallacies of Distributed Computing

• There are 11 fallacies of Distributed Computing:
  1. The network is reliable
  2. Latency isn’t a problem
  3. Bandwidth isn’t a problem
  4. The network is secure

5. The topology won’t change

markusrenepae

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

jakevdp

ErikFontanel

#!/bin/sh
# This script will fetch the Googlevideo ad domains and append them to the Pi-hole block list.
# Run this script daily with a cron job (don't forget to chmod +x)
# More info here: https://discourse.pi-hole.net/t/how-do-i-block-ads-on-youtube/253/136

# File to store the YT ad domains
FILE=/etc/pihole/youtube.hosts

# Fetch the list of domains, remove the ip's and save them
curl 'https://api.hackertarget.com/hostsearch/?q=googlevideo.com' \

sanzpro

# -*- 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

//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

vanclist

#!/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/

marketcalls

//Coded by Rajandran R
//Author - www.marketcalls.in
//Date : 21st FEB 2017

_SECTION_BEGIN("Open == High AND Open == Low Exploration");

DOpen = TimeFrameGetPrice( "O", inDaily, 0 ); // gives you Todays Open price. 
DHigh = TimeFrameGetPrice( "H", inDaily, 0 ); // gives you Todays High price.
DLow = TimeFrameGetPrice( "L", inDaily, 0 ); // gives you Todays High price.