Note: nothing herein is financial advice. Crypto projects are inherently associated with risk, largely unaudited, and experimental in nature. No charts, images, statistics, or observations herein should be used for investment decisions.

You can find the full code associated with this article here: GitHub Repo.

This article should act as an introduction for studying crypto analytics. You’ll learn some ways to access data, manipulate data, and produce insightful findings.

First, we’ll make some assumptions on what drives activity in these networks. Next, we’ll dive into the data to try and (dis)prove some of these statements. …

Note: I am not affiliated with any of the writers in this article. These are simply books and essays that I’m excited to share with you. There are no referrals or a cent going in my pocket from the authors or publishers mentioned; I prefer to align my incentives with the reader rather than the publishers. Reading is a vitamin for the brain; please support your favorite writers and enjoy!

Welcome to another month of our Data Science reading list! We do these each month, and I love all the positive feedback. I especially like when folks share their own recommendations. Feel free to share your own books, blogs, and anything else you’re reading this month. I would be happy to give your favorite authors a read and maybe include them in a future list! …

Nothing herein is financial advice. Past performance is in no way indicative of future returns. Any listed holdings are not guaranteed to be up to date or accurate. All holdings are delayed. Please do not think mirroring any of my holdings will give you any sort of positive returns or generate alpha. Please use common sense as mileage may vary (considerably).

For the full portfolio and commentary you can follow me on Twitter where I’ll announce updates to lukeposey.com/investing. The tables with holdings will update automatically. I’ll do my best to give consistent updates and semi-intelligent rationale for my decisions.

About my portfolio

I’m interested in investing across various asset classes. I’m diversified across equities, fixed income, commodities, and cryptocurrency. …

Note: I am not affiliated with any of the writers in this article. These are simply books and essays that I’m excited to share with you. There are no referrals or a cent going in my pocket from the authors or publishers mentioned. Reading is a vitamin for the brain; please support your favorite writers and enjoy!

Welcome to this month’s reading list. …

Applied AI continues to accelerate, largely fueled by the maturation of tooling and infrastructure. Couple this infrastructure with a strong pool of talent and enthusiasm, readily accessible capital, and high customer willingness to adopt AI/ML and you’ve got something special. We’re turning the corner into a new decade where AI/ML will create real value for both the consumer and the enterprise at an accelerating pace.

Defining Terms

Applied AI: anything to do with taking AI research from the lab to a use-case and everything in-between. From the infrastructure and tooling, to the hardware, to the deployment surfaces in industry, to the models themselves, it takes a village to get a bleeding edge advance in AI research to a use-case. One great test for maturation in our field is the time it takes for a new advance to get from paper to production. …

Before we start

Welcome to the Spawner blog on Medium. We want this blog to fill the gap in finance blogs on this platform. Our goal is to provide you with information that is engaging, accurate, and fun. We’re not here to spam you with listicles or tell you what stocks to buy. We’re here to share knowledge and information, amplify honest and passionate voices, and highlight the journeys of investors across the globe. By following the Spawner publication you can expect content on trading, wealth management, FinTech, and plenty of other related topics.

Thanks for reading!

Motivation

I’m often asked what gets me so excited about investing. Here’s a summary of my investing journey since placing my first limit order. There’s about a 10 year window from the time I started “trading” in high school to present day. Everyone starts their journey somewhere — mine started with a stock market game in high school consumers ed. Here’s the story of where my investing journey has been and where I think it’s going. …

Note: I am not affiliated with any of the writers in this article. These are simply books and essays that I’m excited to share with you. There are no referrals or a cent going in my pocket from the authors or publishers mentioned. Reading is a vitamin for the brain; please support your favorite writers and enjoy!

Welcome to this month’s reading list. Slight change to the typical format — this month I’ll go over both some books and essays that I’ve read or plan on reading through the course of July.

On to the list!

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Note: nothing herein is investment advice. Spawner AI, Inc. does not provide investment, tax, or legal advice of any kind. This is not an offer, solicitation of an offer, or advice to buy or sell securities. Everything herein is for entertainment and educational purposes.

We’ve noticed an overall lack of awareness of basic portfolio metrics throughout the broader trading community. Many of these metrics and basic approaches are based on decades of research and development of best practices, some more practical than others for the common trader or investor.

Quantifying your portfolio’s risk, exposure, and performance is important to continuously monitor the health, balance, and exposure to market forces. The metrics you follow are a personal choice based on your style and strategies. At Spawner, we decided to focus on a fairly broad set of widely used metrics for portfolio managers. …