How fast tikeda123/article_lab is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
May 2026 – Nov 2026
Stars +21in 7 months
051015
15
Forks +4in 7 months
0123
3
Merged PRs 1in 7 months
01
1
Trendshift Trendingthe best rank each month, on any day it made the top 25
Not in the Trendshift top 25 in this period
May 2026Jun 2026Jul 2026Aug 2026Sep 2026Oct 2026Nov 2026
The left and right arrow keys step from month to month; Home and End go to the first and the last
Stars, forks, merged pull requests and best Trendshift Trending rank, by month
Month
Stars gained
Forks gained
Merged PRs
May 2026
+15
+3
0
June 2026
+4
+1
0
July 2026
+0
+0
0
August 2026
+1
+0
1
September 2026
+1
+0
0
October 2026
+0
+0
0
November 2026
+0
+0
0
Total
+21
+4
1
1#1 on the list
7Best rank that month
Not trending
Social mentions
Recent discussions about this repository across the web
1 post
“Does trend following work?” A better quant question is: “What kind of payoff structure does trend following create, and when does it fail?” In this article, I tested a simple moving average…
Please download and use the Python code, datasets, and detailed graphs used in this experiment from the GitHub repository below. Experiment: Lab_4 #github #Quanttrading
Agentic quant research workbench with CSV data inspection, local Codex and compatible APIs, predictive models, independent reviews, and reproducible backtests.
