cgmil

18 ms·

31.
Announcing My Course: Training Your Systems with Python Statistical Modelling(ntguardian.wordpress.com)
2 points by cgmil 8y ago|0 comments
32.
A Recession Before 2020 Is Likely(ntguardian.wordpress.com)
28 points by cgmil 8y ago|4 comments
33.
R Function for Simulating Gaussian Processes(ntguardian.wordpress.com)
28 points by cgmil 9y ago|2 comments
34.
Getting and Working with Data: “Data Acquisition and Manipulation with Python”(ntguardian.wordpress.com)
1 points by cgmil 9y ago|0 comments
35.
Problems in Estimating GARCH Parameters in R(ntguardian.wordpress.com)
1 points by cgmil 9y ago|0 comments
36.
Getting S&P 500 Stock Data from Quandl/Google with Python(ntguardian.wordpress.com)
5 points by cgmil 9y ago|0 comments
37.
Mad Libs and Python(ntguardian.wordpress.com)
3 points by cgmil 9y ago|0 comments
38.
Let’s Create Our Own Cryptocurrency(cranklin.wordpress.com)
11 points by cgmil 9y ago|0 comments
39.
Defend Net Neutrality(ntguardian.wordpress.com)
2 points by cgmil 9y ago|0 comments
40.
Downloading S&P 500 Stock Data from Google/Quandl with R (Command Line Script)(ntguardian.wordpress.com)
1 points by cgmil 9y ago|0 comments
41.
Get Started Learning Python for Data Science with “Unpacking NumPy and Pandas”(ntguardian.wordpress.com)
1 points by cgmil 9y ago|0 comments
42.
Stock Trading Analytics and Optimization(ntguardian.wordpress.com)
1 points by cgmil 9y ago|0 comments
43.
Walk-Forward Analysis Demonstration with backtrader(ntguardian.wordpress.com)
1 points by cgmil 9y ago|0 comments
44.
Ggplot2 – The code powering all those excellent charts is 10 years old(qz.com)
93 points by cgmil 9y ago|15 comments
45.
Getting Started with backtrader(ntguardian.wordpress.com)
2 points by cgmil 9y ago|0 comments
46.
Who Survives Riddler Nation?(ntguardian.wordpress.com)
1 points by cgmil 9y ago|0 comments
47.
by cgmil 9y ago
Damn, yours beats mine. :(
48.
by cgmil 9y ago
The contest might be still on. The guy running it took a week off.
49.
Winning the Battle for Riddler Nation; an Agent-Based Modelling Approach(ntguardian.wordpress.com)
34 points by cgmil 9y ago|8 comments
50.
The End of the Honeymoon: Falling Out of Love with Quantstrat(ntguardian.wordpress.com)
1 points by cgmil 9y ago|0 comments
51.
Order Type and Parameter Optimization in Quantstrat(ntguardian.wordpress.com)
1 points by cgmil 9y ago|0 comments
52.
Transaction Costs Are Not an Afterthought; Transaction Costs in Quantstrat(ntguardian.wordpress.com)
2 points by cgmil 10y ago|0 comments
53.
An Introduction to Stock Market Data Analysis with R (Part 2)(ntguardian.wordpress.com)
1 points by cgmil 10y ago|0 comments
54.
by cgmil 10y ago
No, but I'm always looking for new content ideas. People like my R/Python for Stocks posts, and ask for more, but I'm not really sure where to start in terms of giving them what they want.
55.
by cgmil 10y ago
If Rcpp were not a thing, R might have died from being slow. Since it is a thing, though, people can easily write packages that are certainly fast enough for what they want to do, and that keeps the language useful.
56.
by cgmil 10y ago
I hear that R/Python's role in the project is initial modelling and testing. You train trading algorithms in R or Python, then deploy them in a C/C++ algorithm for speed.
57.
An Introduction to Stock Market Data Analysis with R (Part 1)(ntguardian.wordpress.com)
1 points by cgmil 10y ago|0 comments
58.
How to mine newsfeed data and extract interactive insights in Python(ahmedbesbes.com)
4 points by cgmil 10y ago|0 comments
59.
Data or Die(ntguardian.wordpress.com)
2 points by cgmil 10y ago|0 comments
60.
by cgmil 10y ago
Oh, the stories you hear...

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