affixalex

This is a strategy intended to be executed at around 8AM ET through the first 
hour of trading (10:30AM ET). It's a refinement of my previous approach aimed 
at generating automated buy signals at market open. Note that I didn't actually
write the machine learning model for sentiment analysis, it's a black box to me,
but it performed very well on the training dataset. I'm sure there are better 
proprietary sentiment models floating around.

1. Find after hours gappers, big movers from previous close to current open
2. Only select gappers priced from $10-20 with a float of 1M+ shares
3. The top 50 gapping symbols form the watch list for this period

affixalex

ssh_authorized_keys:
- ssh-rsa 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 alex@relentless.farm
- github:affixalex
hostname: horizon
k3os:
  k3s_args:
  - server
  - "--cluster-cidr=172.1.0.0/23"
  - "--service-cidr=172.2.0.0/23"
  dns_nameservers:

affixalex

Keybase proof

I hereby claim:

• I am affixalex on github.
• I am affixalex (https://keybase.io/affixalex) on keybase.
• I have a public key ASCRsqQPp_k87K1bjJeU6xoQoPqBtHktmgjuJ6u58WhWpQo

To claim this, I am signing this object:

affixalex

CHART_REPO := http://jenkins-x-chartmuseum:8080
CURRENT=$(pwd)
NAME := dashboard
OS := $(shell uname)
RELEASE_VERSION := $(shell cat ../../VERSION)

build: clean
	rm -rf requirements.lock
	helm dependency build
	helm lint

affixalex

pipeline {
    agent {
        label "jenkins-ruby"
    }
    environment {
      ORG               = 'jenkinsx'
      APP_NAME          = 'dashboard'
      CHARTMUSEUM_CREDS = credentials('jenkins-x-chartmuseum')
    }
    stages {

affixalex

alex@amnesiac ~/mininode $ cat ~/test.js                                [6/1915]
const os = require("os");
const fs = require("fs");

console.log("Platform: " + os.platform());
console.log("Release: " + os.release());
console.log("Homedir: " + os.homedir());
console.log("Uptime: " + os.uptime());
console.log("TotalMem: " + os.totalmem());
console.log("FreeMem: " + os.freemem());

affixalex

/* ----------------------------------------------------------------------------
 * This file was automatically generated by SWIG (http://www.swig.org).
 * Version 3.0.11
 *
 * This file is not intended to be easily readable and contains a number of
 * coding conventions designed to improve portability and efficiency. Do not make
 * changes to this file unless you know what you are doing--modify the SWIG
 * interface file instead.
 * ----------------------------------------------------------------------------- */

affixalex

I want to cover a lot of ground in this post.

Let's discuss how clang(1) works and explore what I think would be an ideal toolchain for Illumos-based systems. Firstly, how does clang work?

Let's eplore that a bit.

alex@meek:/home/alex$ clang -v -target x86_64-pc-hydraos1.0 test.c -o test
clang version 3.8.0 (tags/RELEASE_380/final)

Target: x86_64-pc-hydraos1.0

affixalex

#ifndef SYS_DWARF_H
#define SYS_DWARF_H

#include <stdint.h>
/*
 * Integer representations - DWARF4 Section 7.26
 */
typedef int8_t dwarf_sbyte;
typedef uint8_t dwarf_ubyte;
typedef uint16_t dwarf_uhalf;

affixalex

/*-
 * Copyright (c) 2013 The NetBSD Foundation, Inc.
 * All rights reserved.
 *
 * This code is derived from software contributed to The NetBSD Foundation
 * by Matt Thomas of 3am Software Foundry.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met: