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Machine Learning & Quantitative Finance
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TracecatHQ/tracecat
2024/05/07 16:08
1941
😼 The open source alternative to Tines / Splunk SOAR. Build AI-assisted workflows, orchestrate alerts, and close cases fast.
TracecatHQ/tracecat
2024/05/07 16:08
1941
😼 The open source alternative to Tines / Splunk SOAR. Build AI-assisted workflows, orchestrate alerts, and close cases fast.
searxng/searxng
2024/05/07 14:50
8615
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
searxng/searxng
2024/05/07 14:50
8615
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
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Francesca Trivellato, "The Promise and Peril of Credit: What a Forgotten Legend about Jews and Finance Tells Us about the Making of European Commercial Society" (Princeton UP, 2019)
2024/05/05
Francesca Trivellato, "The Promise and Peril of Credit: What a Forgotten Legend about Jews and Finance Tells Us about the Making of European Commercial Society" (Princeton UP, 2019)
2024/05/05
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Twitter Trending
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@paradoxinvestor
New Erb & Harvey study on the drivers of <a href="https://twitter.com/hashtag/gold?src=hash&ref_src=twsrc%5Etfw">#gold</a> prices. On ETFs, China, Costco buyers, and difficulties with finding reliable data. Correlation or causation? <a href="https://twitter.com/jsblokland?ref_src=twsrc%5Etfw">@jsblokland</a> <a href="https://twitter.com/camharvey?ref_src=twsrc%5Etfw">@camharvey</a> <a href="https://t.co/zsioCcNr5S">https://t.co/zsioCcNr5S</a> <a href="https://t.co/twyFuhRTF6">pic.twitter.com/twyFuhRTF6</a>
2024/05/08
@paradoxinvestor
New Erb & Harvey study on the drivers of <a href="https://twitter.com/hashtag/gold?src=hash&ref_src=twsrc%5Etfw">#gold</a> prices. On ETFs, China, Costco buyers, and difficulties with finding reliable data. Correlation or causation? <a href="https://twitter.com/jsblokland?ref_src=twsrc%5Etfw">@jsblokland</a> <a href="https://twitter.com/camharvey?ref_src=twsrc%5Etfw">@camharvey</a> <a href="https://t.co/zsioCcNr5S">https://t.co/zsioCcNr5S</a> <a href="https://t.co/twyFuhRTF6">pic.twitter.com/twyFuhRTF6</a>
2024/05/08
@quantseeker
Interesting white paper from the AQR crew of <a href="https://twitter.com/CliffordAsness?ref_src=twsrc%5Etfw">@cliffordasness</a> on the virtue of complexity in return prediction.<br><br>Complex models (number of predictors > number of observations) better capture nonlinearities, leading to improved return predictions and “evolutionary, not… <a href="https://t.co/2w9WOpLkP3">pic.twitter.com/2w9WOpLkP3</a>
2024/05/07
@quantseeker
Interesting white paper from the AQR crew of <a href="https://twitter.com/CliffordAsness?ref_src=twsrc%5Etfw">@cliffordasness</a> on the virtue of complexity in return prediction.<br><br>Complex models (number of predictors > number of observations) better capture nonlinearities, leading to improved return predictions and “evolutionary, not… <a href="https://t.co/2w9WOpLkP3">pic.twitter.com/2w9WOpLkP3</a>
2024/05/07
@quantseeker
Lasse Pedersen at Copenhagen Business School offers a great course in "Big Data Asset Pricing" with really useful lecture notes.<br><br>Topics include: Empirical asset pricing, working with asset-pricing data, multiple testing issues and the factor zoo, machine learning, and more.… <a href="https://t.co/4BXMdGCvfl">pic.twitter.com/4BXMdGCvfl</a>
2024/05/07
@quantseeker
Lasse Pedersen at Copenhagen Business School offers a great course in "Big Data Asset Pricing" with really useful lecture notes.<br><br>Topics include: Empirical asset pricing, working with asset-pricing data, multiple testing issues and the factor zoo, machine learning, and more.… <a href="https://t.co/4BXMdGCvfl">pic.twitter.com/4BXMdGCvfl</a>
2024/05/07
@carlcarrie
Building Energy Prediction is a time-series problem. SARIMA, XGBoost & firefly metaheuristic algorithms (MetaFA-LSSVR) were benchmarks confirming the superior prediction ability of memory-based models (Seq2Seq & RNN)<br><br>Paper:<a href="https://t.co/W22azqxpbV">https://t.co/W22azqxpbV</a><br><br>Code:<a href="https://t.co/Z4VGIKvL5U">https://t.co/Z4VGIKvL5U</a> <a href="https://t.co/2jLgoTxfoz">pic.twitter.com/2jLgoTxfoz</a>
2024/05/06
@carlcarrie
Building Energy Prediction is a time-series problem. SARIMA, XGBoost & firefly metaheuristic algorithms (MetaFA-LSSVR) were benchmarks confirming the superior prediction ability of memory-based models (Seq2Seq & RNN)<br><br>Paper:<a href="https://t.co/W22azqxpbV">https://t.co/W22azqxpbV</a><br><br>Code:<a href="https://t.co/Z4VGIKvL5U">https://t.co/Z4VGIKvL5U</a> <a href="https://t.co/2jLgoTxfoz">pic.twitter.com/2jLgoTxfoz</a>
2024/05/06
@carlcarrie
Earnings Conference Call Analyzer - LLM paper <a href="https://t.co/0gJwfZk9Up">https://t.co/0gJwfZk9Up</a><br><br>FinX StockX <a href="https://t.co/rKbCtXn8Jg">pic.twitter.com/rKbCtXn8Jg</a>
2024/05/05
@carlcarrie
Earnings Conference Call Analyzer - LLM paper <a href="https://t.co/0gJwfZk9Up">https://t.co/0gJwfZk9Up</a><br><br>FinX StockX <a href="https://t.co/rKbCtXn8Jg">pic.twitter.com/rKbCtXn8Jg</a>
2024/05/05
@carlcarrie
Systemic Risk detection using intraday 1 minute data / realized eigenvalues - paper<a href="https://t.co/WLtud3AIBc">https://t.co/WLtud3AIBc</a> <a href="https://t.co/v74KQpbrej">pic.twitter.com/v74KQpbrej</a>
2024/05/05
@carlcarrie
Systemic Risk detection using intraday 1 minute data / realized eigenvalues - paper<a href="https://t.co/WLtud3AIBc">https://t.co/WLtud3AIBc</a> <a href="https://t.co/v74KQpbrej">pic.twitter.com/v74KQpbrej</a>
2024/05/05
@quantseeker
New paper on carry strategies and their potential diversification benefits <a href="https://t.co/hTkSFenCuo">https://t.co/hTkSFenCuo</a>
2024/05/03
@quantseeker
New paper on carry strategies and their potential diversification benefits <a href="https://t.co/hTkSFenCuo">https://t.co/hTkSFenCuo</a>
2024/05/03
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2024/05/08
Occasionally I find myself reading a research paper and thinking "wow this is really good." Rather than letting that thought just dissipate in my own head, I've decided to actually start reaching out and letting people know that's what I was thinking.
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209
2024/05/08
James Alexander Maynard FRS ( 1987 ) is an English mathematician working in analytic number theory and in particular the theory of prime numbers. In 2017, he was appointed Research Professor at Oxford. Maynard is a fellow of St John's College, Oxford. He was awarded the Fields Medal in 2022 and the New Horizons in Mathematics Prize in 2023.Here there is a description of James' scientific contributions so far:1 - Primes in Short IntervalsMaynard's research in the distribution of prime numbers in short intervals challenges the traditional understanding of how densely prime numbers can populate segments of the number line, even in very short intervals. By improving the techniques for estimating the density of primes in these intervals, Maynard has provided a clearer picture of the irregular, nature of prime distribution. This work is crucial for advancing cryptographic algorithms which often rely on the properties of primes.2 - Bounded Gaps Between PrimesOne of Maynard's most notable contributions is his work on bounded gaps between primes. Following on the heels of Yitang Zhang's groundbreaking results, Maynard introduced new methods that significantly lowered the upper bound on the gaps between consecutive primes. His approach involved a more flexible use of what’s known in mathematics as “admissible tuples” to capture more potential prime occurrences. This achievement not only pushed the boundaries of existing mathematical theory but also opened up new pathways for further reducing these gaps.3 - Polynomial Configurations in the PrimesBuilding on the work of Ben Green and Terence Tao, who demonstrated that the prime numbers contain arbitrarily long arithmetic progressions, Maynard's research extends these concepts to more complex polynomial configurations. His insights suggest that similar patterns extend beyond simple linear progressions, offering a glimpse into a mo
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446
2024/05/08
Volatility Models in action at NYU Tandon School of Engineering! A busy office hour session with the students of my Volatility Models MSFE course, NYU Tandon, Finance & Risk Engineering Department 
3
100
2024/05/08
I'm currently having a little fun with the Utility Theory approach to asset allocation. Here's an another quick note at SSRN on the Optimal Hedging of Assets with Pathological Distributions of Returns. https://lnkd.in/eGiNhjqQ I'm stealing from the best which, in this case, includes Clive Granger. hashtag#markets hashtag#finance hashtag#stocks hashtag#quantresearch hashtag#portfoliotheory hashtag#hedging hashtag#options
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19
2024/05/08
New article on Medium. https://lnkd.in/ewj7qv8c This is to prepare the ground for an upcoming article which features the Analytical Solution to Asset Allocation with the Multivariate Laplace Distribution of returns that I recently posted here. hashtag#finance hashtag#portfoliotheory hashtag#quantresearch hashtag#markets hashtag#probability hashtag#economics
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11
2024/05/08
Our goal has always been to make transformative tech like GenAI accessible and easy to use for developers. Today, we’re announcing a new capability in Amazon Bedrock to do just that. https://lnkd.in/gQpefcfeWe're introducing Amazon Bedrock Studio (available in preview), a web-based experience designed to accelerate the development of GenAI applications by providing a rapid prototyping environment with Bedrock features, including Knowledge Bases, Agents, and Guardrails. With Amazon Bedrock Studio, developers can: Easily interact with a wide range of LLMs and foundation models Collaborate on projects with cross-functional teams Leverage a user-friendly interface with playground mode for iterative development Seamlessly integrate proprietary data sources, systems, and APIs Benefit from centralized access management, policy enforcement, and responsible AI capabilities
Easily interact with a wide range of LLMs and foundation models Collaborate on projects with cross-functional teams Leverage a user-friendly interface with playground mode for iterative development Seamlessly integrate proprietary data sources, systems, and APIs Benefit from centralized access management, policy enforcement, and responsible AI capabilities1
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2024/05/08
One reason that mathematicians don't get on that well with computer scientists ...
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1486
2024/05/08
At Snowflake, we are on a mission to bring AI innovation to the enterprise with light speed.So excited that hashtag#SnowflakeCortex is now generally available to our customers! And we also added easy access to the latest industry-leading AI models hashtag#RekaCore Reka AI and hashtag#Llama3 AI at Meta.Congrats to the teams that are making these incredible and fast-paced innovations possible!
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1107
2024/05/08
Thrilled to announce I've been promoted to Partner at NFX. A heartfelt thanks to my Partners, NFX team, and the incredible Founders I have the privilege to work with. Feel really lucky to be in this journey with you all. Exciting times ahead!https://lnkd.in/dHeE5zDV
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802
2024/05/08
5 years ago we had no employees in Japan. Somehow we convinced Hidetoshi Tojo Mineaki Motohashi to be our first 2 when we had no customers and no office. Today we have over 150 employees and growing. Yesterday was a proud day for Jon Robertson and I in opening Snowflake 's most beautiful office in the world right in the center of Tokyo. It may be May, but we are making it Snow in Tokyo!! Thank you to all our Japanese employees, partners, and customers for making Snowflake in Japan such a success. hashtag#datacloud hashtag#makeitsnow hashtag#AI hashtag#proud hashtag#customers hashtag#partners hashtag#platform hashtag#genai
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2024/04/24
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algotrading
2024/04/23
164
algotrading
2024/04/22
2
datascienceproject
2024/04/22
14
quant
2024/04/22
16
algotrading
2024/04/22
16
algotrading
2024/04/21
0
datascienceproject
OSS tool that scales your python code to thousands of GPUs and CPUs in seconds (r/MachineLearning)
Open
2024/04/21
1
datascienceproject
2024/04/21
1
datascienceproject
2024/04/21
1
datascienceproject
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