Carl Carrie (@🏠) @carlcarrie
Meanderings on markets, microstructure, misinformation, machine learning, metaverses, and multiverses... maybe more. #FinTech #AI #Python - Views are my own. linktr.ee/Carlcarrie New York Joined June 2009-
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The finance sector is realizing that over the past several decades, it has lost millions, even billions, of dollars due to uncalibrated models. What's the most effective technology for calibrating these models without reengineering the whole pipelines? Undoubtedly, #conformal…
Hmmm OpenAI allegedly used illegally scraped data to train Whisper nytimes.com/2024/04/06/tec…
Prompt Principles Paper when interacting with LLMs: Handy rules of thumb for optimizing output quality / prompt engineering: arxiv.org/pdf/2312.16171…
As Johnny von Neumann used to say, "with four parameters I can fit an elephant, and with five I can make him wiggle his trunk." 2014 Paper: Pseudo-Mathematics and Financial Charlatanism: The Effects of Backtest Overfitting on Out-of-Sample Performance
Most forecasting tools - Prophet, TIDE, XGBoost underperform when challenged with financial data sets spanning multiple business cycles and reaching a new turning point Dunning-Kruger effect mitigation approaches - eg detecting the onset of recession: quantpedia.com/impact-of-busi…
Dynamic Factor Modeling using auto regressive techniques as a Python library: Metran (use cases beyond just hydro timeseries) github.com/pastas/metran Tutorial: github.com/pastas/metran/… Classic example: github.com/pastas/metran Dependencies on scipy and pastas
Gradient Boost Regression Tree (GBRT) for Limit Order Book #LoB modeling - paper shihaoyu.org/research/paper…
How long will it be before a large language model with a whisper like voice model is embedded in an android? techcrunch.com/2024/04/17/bos…
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Zero/Few-Shot Forecasting of Multivariate Time Series Python GitHub: arxiv.org/pdf/2401.03955 Pretraining TTMs is very easy and fast, taking 3-6 hours using 6 A100 GPUs Model Card: huggingface.co/ibm/TTM IBM LLM Research
2024 AI Index - Stanford University Report aiindex.stanford.edu/wp-content/upl…
Sequoia's new top 50 GenAI companies list and their impact on price structures and productivity sequoiacap.com/article/ai-50-…
Itransformers for time-series forecasting Article: towardsdatascience.com/itransformer-t… Jupyter notebook example test case: github.com/marcopeix/time…
Chronos: The Rise of Foundation Models for Time Series Forecasting. Pretrained time series forecasting models based on language model architectures. Trained on public & synthetic data generated using Gaussian processes. amazon.science/blog/adapting-… github.com/amazon-science…
Matturck 2024 Ai Market Map has 2,011 company logos and introduced new waves of entrants mattturck.com/mad2024/#more-… Pdf version mattturck.com/landscape/mad2… Interactive version: mad.firstmark.com Ai = AI/dl/ml/computer vision/data analytics/MLOps llmops/ infra and more...
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Paper: arxiv.org/abs/2310.01728 Python GitHub: github.com/KimMeen/Time-L…
This paper models the interactions between a normal-speed informed trader and multiple high-frequency anticipatory traders who can predict the former’s future order through trading history and trade ahead of her as well. #hft information asymmetry Paper: arxiv.org/abs/2403.08202
Excellent collection of LLM Papers, often with Code github.com/Paitesanshi/LL…
Stat Arb @quant_arb
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PyQuant News 🐍 @pyquantnews
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11 Followers 109 Following CS/AI student. Enjoy trading. This is my public X account to share my projects and ideas in the future.
7_JessW_8A @7Jessw61276
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thebes @voooooogel
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Rémi 〰️ @remilouf
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a16z @a16z
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Cj Z 🎯 @cj_zZZz
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Anand Sanwal @asanwal
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bdambrosio @bdambrosio
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peter! 🥷 @pwang_szn
25K Followers 523 Following tweets about w/e i'm learning growing https://t.co/YJFkxmhetA bench: 225x4 overhead press: 145x1 squat/DL: 0 (skip) 📍Seoul
Kyrsten Sinema is not running for re-election. It is Ruben Gallego vs. Kari Lake. We need your help to make sure Ruben defeats MAGA in Arizona. PLEASE: Rush a donation here:
1. updated jxnl.co thanks to @BartoszJarocki 's template, 2. recorded a podcast with @DeanPlbn 3. got to shoot the shit with @dexter_brandt 4. recorded one more session for the @weights_biases course Spa day tomorrow =3=
@carlcarrie Here's a great explanation article I wrote about TFT: towardsdatascience.com/temporal-fusio…
🚨 We just merged a huge refactoring PR in Outlines 〰️ that will be included in the next release. It generally improves the library's design but also enables: - Streaming - Batched guided generation - Access to logits - Better import paths The current interface will still be…
Some time series econometricians rejoice
LLMTime: “Large Language Models Are Zero-Shot Time Series Forecasters” LLMTime encodes numbers as text and samples possible extrapolations as text completions. (NeurIPS 2023) Paper: arxiv.org/abs/2310.07820 Python GitHub / Open Source Code: github.com/ngruver/llmtime
@carlcarrie Hey @therobotjames you're getting some clicks from Carl here who also posts lots of good stuff
Insightful 🤗
Paper on prediction of short-term directional movement of the euro-dollar exchange rate USDEUR #FX ieeexplore.ieee.org/ielx7/6287639/…
If you are using jupyter notebooks for Python and Data Science, try these 7 magic commands that will save you a ton of time: 🧵👇 1. Chat with ChatGPT directly from Jupyter Notebooks
@carlcarrie Awesome post on multivariate Time Series forecasting using Transformers. Loved it, Shared to my feeds.
@LangChainAI @hwchase17 Github link :- github.com/Anil-matcha/Ch… Give it a star to receive updates
This is mind blowing 🤯 Create apps like chatpdf.com or pdf.ai in less than 10 lines of code 😲😲 Built using @LangChainAI by @hwchase17 Chat with any PDF for free !!!
Another incredible AutoGPT project just dropped. With this tool, enter any goal, and your "Intelligent Alter Ego" will do it for you. It generates tasks, implements them, and learns from itself 🤯
Matplotlib is a really handy Python Library for Data Visualization. Use this as your reference next time working with it:🧵
Fascinating time series paper for your morning coffee.
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting." Article: towardsdatascience.com/multivariate-t… Paper: arxiv.org/abs/2109.12218 Python GitHub: github.com/QData/spacetim…
@carlcarrie Thanks for sharing, this is wild and a sign of things to come!
@TomKaz Tom - the three best resources for learning materials I have come across @WifeyAlpha has a huge list of books in his first, pinned post... @QuantSymplectic has lots of great academic papers on systematic trading @carlcarrie even more great academic papers, especially ML papers.
@therobotjames @carlcarrie Always happy to make a good intro. Carl posts tons of good quant papers
@carlcarrie Plus all permutations of those for deductions, inductions, and abductions. Practically, unbounded.
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