K K

859 Flips | 39 Magazines | 37 Likes | 1 Following | 224 Followers | @kevinkrueger982 | Keep up with K K on Flipboard, a place to see the stories, photos, and updates that matter to you. Flipboard creates a personalized magazine full of everything, from world news to life’s great moments. Download Flipboard for free and search for “K K”

Evaluating a Classification Model

An Introduction to Stock Market Data Analysis with Python (Part 1)

An Introduction to Stock Market Data Analysis with Python (Part 1)

Trading

Python Programming Tutorials

Machine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading<p>Introduction<p>Machine learning in any form, including pattern …

Python Programming

Futures Trading

An introductory article on Futures. Describes what a forward contract means along with a practical illustration of the concept. The article discusses …

Stock Markets

About Feature Scaling and Normalization

I received a couple of questions in response to my previous article (Entry point: Data) where people asked me why I used Z-score standardization as …

Data Science

Python - how to normalize time-series data

I have a dataset of time-series examples. I want to calculate the similarity between various time-series examples, however I do not want to take into …

CNTK 104: Time Series Basics with Pandas and Finance Data — Python API for CNTK 2.5.1 documentation

CNTK 104: Time Series Basics with Pandas and Finance Data¶<p>Contributed by: Avi Thaker November 20, 2016<p>This tutorial will introduce the use of the …

Trading

Python main() functions

All Things Pythonic <br>Python main() functions <br>by Guido van van Rossum <br>May 16, 2003<p><b>Summary</b><br>For Python programmers, I've got some suggestions on how to …

Python Programming

Introduction to Time Series Forecasting With Python

Thanks for your interest.<p>Sorry, I do not support third-party resellers for my books (e.g. reselling in other bookstores).<p>My books are self-published …

Machine Learning

How To Backtest Machine Learning Models for Time Series Forecasting

The goal of time series forecasting is to make accurate predictions about the future.The fast and powerful methods that we rely on in machine …

Machine Learning

(Unbelievably Juicy!) Grilled Pork Tenderloin

I’m sharing my method for the most unbelievably juicy grilled pork tenderloin, which cooks in under 15 minutes. Pair with grilled vegetables for a …

BBQ

Part II - Feature Generation

Index<p>In the last post I went through the project’s introduction and the data collection, together with a little bit of feature analysis. In this …

Data Science

Part I - Stock Market Prediction in Python Intro

This is the first of a series of posts summarizing the work I’ve done on Stock Market Prediction as part of my portfolio project at Data Science …

Stock Markets

Pairs Trading using Data-Driven Techniques: Simple Trading Strategies Part 3

Pairs trading is a nice example of a strategy based on mathematical analysis. We’ll demonstrate how to leverage data to create and automate a pairs …

Trading

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative …

Python Programming

Using Quandl Bitcoin Data to Build a Time Series Forecast in Python

Anyone interested in trading Bitcoin obviously would love to know future prices of Bitcoin. There are a number of statistical approaches one could …

Data Science

Short Rib Ragu with Pappardelle and Pecorino Romano

Heat oven to 325 degrees F.<p>Place a 5-quart casserole or Dutch oven over medium heat. Add oil, and heat until it is almost smoking. Season short ribs …

Cooking

Baked Yuca Fries (Cassava Fries)

<b>by Lisa Bryan | Downshiftology</b> — August 13, 2017<p>Baked <b>yuca fries</b> are golden and crispy on the outside and soft on the inside. They’re a healthier way …

French Fries

How to make Rabbit Ragu with Pappardelle

Italian Food

A comprehensive beginner's guide to create a Time Series Forecast (with Codes in Python)

Introduction<p>Time Series (referred as TS from now) is considered to be one of the less known skills in the analytics space (Even I had little clue …

Python Backtesting Mean Reversion – Part 2 – Python For Finance

Hi all, welcome back. This blog post is going to deal with creating the initial stages of our <b>Python backtesting mean reversion</b> script – we’re going …

Python Programming

Visualization of technical indicator of stock

Grilled Chicken Thighs Tandoori Recipe

"Moist, luscious, and delicious. Just the right blend of spices make this chicken dish one of my most-requested. Great hot or cold. If using thighs …

Grilling

Walk-Forward Analysis Demonstration with backtrader

<b>DISCLAIMER: Any losses incurred based on the content of this post are the responsibility of the trader, not me. I, the author, neither take</b> …

Data Science

Machine Learning for time series analysis

Machine Learning

Application of Machine Learning Techniques to Trading

Auquan recently concluded another version of QuantQuest, and this time, we had a lot of people attempt Machine Learning with our problems. It was …

Machine Learning

Build Better Strategies! – The Financial Hacker

Enough blog posts, papers, and books deal with how to properly optimize and test trading systems. But there is little information about how to get to …

Trading

<b>Update 1: In response to a suggestion from a reader, I’ve added a section on feature selection using the Boruta package.</b><p><b>Update 2: Responding to</b> …

Data Science