Vuong Hoang vuonghv

Introduction

The computer driven markets for instruments like stocks and exchange traded stock options, have transformed finance and the flow of capital. These markets are enabled by order matching engines (and the infrastructure that supports this software). Before computer trading networks and matching engines, stocks where traded on cavernous exchange floors and transaction costs where high. When electronic trading fully matured, floor traders were a fading anachronism and transaction costs had been reduced to pennies a share in many cases. Electronic trading could not exist without advanced network infrastructure, but without the software matching engines no shares would change hands. The computer trading networks, the matching engine software has also created a concentrated nexus of potential failure. Failures in these systems have increased as the frequency and volume on the electronic networks has increased. The position of order matching engines in the trading infrastructure makes these systems o

Moved to Shopify/graphql-design-tutorial

I recently happened upon a very interesting implementation of popen() (different API, same idea) called popen-noshell using clone(2), and so I opened an issue requesting use of vfork(2) or posix_spawn() for portability. It turns out that on Linux there's an important advantage to using clone(2). I think I should capture the things I wrote there in a better place. A gist, a blog, whatever.

This is not a paper. I assume reader familiarity with fork() in particular and Unix in general, though, of course, I link to relevant wiki pages, so if the unfamiliar reader is willing to go down the rabbit hole, they should be able to come ou

This document has moved!

It's now here, in The Programmer's Compendium. The content is the same as before, but being part of the compendium means that it's actively maintained.

How to run manage.py from AWS Elastic Beanstalk

Note this is for eb python platform, it is different for Docker

Location of Current App:

  cd /opt/python/current/app

	/*****************************************************************************
	* QuantCup 1: Price-Time Matching Engine
	*
	* Submitted by: voyager
	*
	* Design Overview:
	* In this implementation, the limit order book is represented using
	* a flat linear array (pricePoints), indexed by the numeric price value.
	* Each entry in this array corresponds to a specific price point and holds
	* an instance of struct pricePoint. This data structure maintains a list

	#!/usr/bin/python
	# This file has no update anymore. Please see https://github.com/worawit/MS17-010
	from impacket import smb
	from struct import pack
	import sys
	import socket

	'''
	EternalBlue exploit for Windows 7/2008 by sleepya
	The exploit might FAIL and CRASH a target system (depended on what is overwritten)

	Backup:
	docker exec -t -u postgres your-db-container pg_dumpall -c > dump_`date +%d-%m-%Y"_"%H_%M_%S`.sql

	Restore:
	cat your_dump.sql \| docker exec -i your-db-container psql -Upostgres

	#include <stdio.h>
	#include <stdlib.h>
	#include <string.h>
	#include <dlfcn.h>

	int main(int argc, char** argv)
	{
	void *handle;
	void (func_print_name)(const char);

	function logClass(target: any) {

	// save a reference to the original constructor
	var original = target;

	// a utility function to generate instances of a class
	function construct(constructor, args) {
	var c : any = function () {
	return constructor.apply(this, args);
	}