Joined March 2015
- Tweets 3,098
- Following 108
- Followers 5,395
- Likes 1,418
105 Photos and videos
Jacques Joubert retweeted
21 Feb 2024
This course has been released for early access, at a big discount for early supporters!
udemy.com/course/writing-pro…
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Jacques Joubert retweeted
20 Feb 2024
Another article on the demise of "Black Swan" funds. It is unclear how this is still news to investors, but just in case...
bloomberg.com/news/articles/…
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Jacques Joubert retweeted
13 Jan 2024
🎉 Exciting News! Our course Advances in Momentum Trading Strategies is almost here!
Like this tweet and we'll tag you as soon as it's live. Don't miss out on this game-changing opportunity! #MomentumTrading💼📈📊
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Jacques Joubert retweeted
3 Jan 2024
🚀 Exciting News! 🌟 Get early access to our much-anticipated course: Mastering Backtesting for Algorithmic Trading!
udemy.com/course/mastering-b…
👩💻 Dive into the world of algorithmic trading with our expertly crafted content.
🎉 Happy Learning & Happy Trading! 🎉
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Jacques Joubert retweeted
30 Dec 2023
We are almost there with our mini-course, Backtesting Tutorial for Algorithmic Trading.
Here is a small sample of the longer course content.
github.com/hudson-and-thames…
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Jacques Joubert retweeted
18 Nov 2023
We are developing a comprehensive course designed to equip you with the skills needed to write high-quality, production-ready Python code. It is the duration and length of a full university semester and covers a range of topics based on real-life work experience.
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Jacques Joubert retweeted
18 Nov 2023
The Last of Us Part II players on PS4 can upgrade to #TLOU2Remastered on PS5 for $10 USD.
Learn more about what's new, including the roguelike mode #NoReturn: bit.ly/3unhhv3
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Jacques Joubert retweeted
8 Nov 2023
ADIA Lab is proud and honored to welcome in Abu Dhabi to H.E. Carme Artigas, Spain’s Secretary of State for Digitization and AI. With Spain’s Ambassador to the UAE, H.E. Íñigo de Palacio, we discussed the ethical challenges presented by AI.
@carmeartigas @SEDIAgob @EmbEspEAU
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Jacques Joubert retweeted
12 Oct 2023
Why do Factor Investing strategies fail?
To find the answer, read "Causal Factor Investing" (Cambridge University Press, 2023).
This monograph can be downloaded for free here: bit.ly/46GN5Zw
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Jacques Joubert retweeted
10 Oct 2023
We're launching a grant program for academic researchers to make their papers easier to replicate, and strengthen open-source quant finance. 🎉
quantconnect.com/announcemen…
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Jacques Joubert retweeted
25 Sep 2023
Nosible News API LangChain OpenAI API = 😍. It's not perfect yet but it is coming along really nicely.
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Jacques Joubert retweeted
29 Aug 2023
A big step forward for usability and accessibility.
29 Aug 2023
We're launching MLFinlab this week with #docker 🐳support! See the demo below 👇
This is soon going to be the fastest way to get started with MLFinlab! No more struggling with Python dependencies.
Sign up for the closed beta here: hudsonthames.org/docker-mlfi…
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21 Aug 2023
I'm learning more and more that it's not about having a couple of good trading strategies. It's about your ability to solve hard problems and generate n number of great strategies.
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15 Aug 2023
Abu Dhabi as a city, continues to blow my mind day after day after day. So lucky to be a part of this city!
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Jacques Joubert retweeted
3 Jul 2023
🎉 The v0.8 release of our #pairstrading library, #ArbitrageLab is here! To celebrate, we're offering a 85% discount on subscriptions with code ARBLAB08RELEASE throughout the month of July👉
hudsonthames.org/arbitragela…
Unleash top-tier #algorithms for smarter #trading! 🚀📈
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Jacques Joubert retweeted
10 Mar 2023
The latest paper on Meta-Labeling has just been released in JFDS. The focus is specifically on probability calibration and the position sizing components of the model.
- Read here: jfds.pm-research.com/content…
- Watch the lecture here: youtu.be/BIBSv_gwBgs
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Jacques Joubert retweeted
13 Dec 2022
hudsonthames.org/experimenta…
The 1st lecture addresses the four horsemen that present a barrier to adopting the scientific approach to machine learning in finance. The 2nd lecture focuses on a protocol for backtesting and how to avoid the seven sins of backtesting.
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