Best AI tools for< Quant Analyst >

Numerai is a data science tournament platform where users can compete to build models that predict the stock market. The platform provides users with clean and regularized hedge fund quality data, and users can build models using Python or R scripts. Numerai also has a cryptocurrency, NMR, which users can stake on their models to earn rewards.

Quant-Tek.AI is a premier provider of conversational artificial intelligence tools, empowering businesses with human-like voice AI solutions. Their mission is to revolutionize the way businesses interact with customers by providing intelligent solutions that automate communication and enhance customer experience. They aim to drive efficiency, improve customer satisfaction, and foster growth through cutting-edge AI technology. Quant-Tek.AI values innovation, excellence, integrity, and collaboration in their pursuit of AI innovation and shaping the future of business communication.

Quant Prep AI is an AI Chrome extension designed for GRE & GMAT quantitative preparation. It assists users in identifying and practicing strategies for solving quantitative questions. The extension provides tips and detailed solutions for quant problems, helping users enhance their quantitative skills efficiently.

Quadrature is an AI-powered automated trading business founded by programmers in 2010. The company utilizes sophisticated data and powerful technology to trade securities globally based on predictions made by statistical models. Their long-term vision is to trade all liquid electronically tradeable asset classes across all horizons to generate consistent, significant returns on their proprietary capital. Quadrature Climate Foundation (QCF) was established in 2019 as an independent foundation dedicated to addressing climate change through science-led philanthropy and high-impact solutions.

TrendSpider is a comprehensive trading software suite designed for traders by traders. It offers a wide range of tools and features to help users make informed trading decisions, including charting and analysis tools, trade idea generation tools, strategy development tools, and trade timing and execution tools. TrendSpider also provides access to a variety of third-party indicators, scanners, and strategies. The platform is available as a web-based application and as a mobile app for iOS and Android devices.

BigShort is a real-time stock charting platform designed for day traders and swing traders. It offers a variety of features to help traders make informed decisions, including SmartFlow, which visualizes real-time covert Smart Money activity, and OptionFlow, which shows option blocks, sweeps, and splits in real-time. BigShort also provides backtested and forward-tested leading indicators, as well as live data for all NYSE and Nasdaq tickers.

StockHero is a highly-rated stock trading bot that allows users to trade intelligently with a high win rate. The platform offers preset bots from the Marketplace for users to deploy in minutes, automating trades on leading brokerages. StockHero caters to users of all levels, from beginners to experienced traders, providing features like TradingView integration, Strategy Designer, and advanced indicator settings. The platform also offers a White-Glove Service for personalized guidance, paper trading for risk-free practice, and an AI ChatBot for financial queries. With a focus on risk management and user satisfaction, StockHero aims to enhance the trading experience for all users.

Composer is an AI-powered trading platform that allows users to build, backtest, and execute trading algorithms seamlessly. With no coding skills required, users can leverage AI-assisted strategy creation to optimize their trading activities. The platform offers automation features, pre-built strategies, and customization options to enhance trading efficiency and performance. Composer aims to democratize sophisticated quant investing by providing accessible and user-friendly tools for all levels of investors.

Avanzai is a powerful workflow automation tool designed specifically for financial services. It leverages AI technology to uncover hidden market dynamics, generate interactive charts, and perform complex analysis in plain English. Users can easily build charts that would typically require advanced programming skills in Python or quant tools. Avanzai provides access to macroeconomic data, equity fundamentals, and real-time news, allowing users to customize charts based on their specific needs. The tool accelerates research reports, enhances alternative data analysis, and empowers asset managers to test market hypotheses efficiently.

Probz is an AI-powered end-to-end Insights Platform that helps brands gather detailed insights on their ideas through Quant, Qual, and Video Research. With a panel of over 10 million users worldwide, Probz enables brands to supercharge their decision-making process, understand customer behavior, collect feedback for product development, optimize marketing strategies, explore new initiatives, and obtain feedback on technology preferences and designs. The platform offers AI-generated hypotheses, customizable surveys, and real-user tests to enhance sales, customer satisfaction, and brand loyalty.

Quanty is an AI-driven financial knowledge graph application that provides market insights on crypto and stocks news through advanced algorithms and knowledge graphs. It offers a GraphQL API for deep market understanding, smart data classification, current market insights, entity and relationship extraction, and dynamic GraphQL access. Users can access a wide range of financial news, insights, and analytics seamlessly through Quanty's robust GraphQL API.

Quanta Intelligence is a comprehensive platform providing business insights on the latest AI news. It offers in-depth analysis and expert commentary on artificial intelligence developments, helping users stay informed and competitive. With deep expertise and precision data, Quanta Intelligence is a top-quality, unbiased resource for AI news and insights. The platform sets the standard for excellence in the rapidly-evolving world of artificial intelligence.

Focus Group Simulator is an AI tool designed to generate market insights instantly by simulating focus groups. By combining the power of LLMs to personate target segments with marketing quants analysis and best marketing frameworks, the tool provides valuable insights for businesses, especially startups. It helps identify low-hanging-fruit segments and offers guidance on product development, pricing, and promotion strategies to create more value and avoid waste. Users can customize simulations and engage with the team for further enhancements.

CHAI is a leading AI platform focused on conversational generative artificial intelligence. With over 1 million daily active users and $10 million in revenue, CHAI empowers ordinary people to create and interact with AI-driven content. The platform experiments with advanced techniques like RLHF, SFT, Prompt Engineering, and more to ensure engaging and socially interactive AI experiences. CHAI's mission is to bridge the gap between factual correctness and entertainment in AI, offering a unique solution to content creation and interaction.

Quanta Quest is an AI-powered personal knowledge management tool that boosts productivity by providing a universal search for all personal data sources. It seamlessly connects and searches across platforms like Gmail, Dropbox, and Notion with precision. The tool ensures privacy-first security, unified personal data management, and intelligent search capabilities. Users worldwide love how Quanta Quest simplifies personal information management and revolutionizes project and research organization.

Bitrix24 is an all-in-one online workspace for businesses, offering features such as CRM, task management, online meetings, and more. It provides tools for managing sales, customer relationships, communication, collaboration, marketing, project management, human resources, and automation. Bitrix24 aims to streamline workflows, enhance team collaboration, and improve productivity by integrating various business functions into a single platform.

Wondershare Filmora is a powerful and intuitive video editing application that offers a wide range of features and tools to create professional-looking videos. With AI-powered features like AI copywriting, text-to-speech, and smart trimming, Filmora simplifies the video editing process for users of all skill levels. The application provides a seamless editing experience across multiple platforms, allowing users to edit, save, and share their content effortlessly. Filmora also offers a variety of pre-designed templates, customizable content, and abundant formats for social media platforms, enhancing productivity and creativity in video editing.

Jupyter Quant is a dockerized environment tailored for quantitative research, equipped with essential tools like statsmodels, pymc, arch, py_vollib, zipline-reloaded, PyPortfolioOpt, numpy, pandas, sci-py, scikit-learn, yellowbricks, shap, optuna, ib_insync, Cython, Numba, bottleneck, numexpr, jedi language server, jupyterlab-lsp, black, isort, and more. It does not include conda/mamba and relies on pip for package installation. The image is optimized for size, includes common command line utilities, supports apt cache, and allows for the installation of additional packages. It is designed for ephemeral containers, ensuring data persistence, and offers volumes for data, configuration, and notebooks. Common tasks include setting up the server, managing configurations, setting passwords, listing installed packages, passing parameters to jupyter-lab, running commands in the container, building wheels outside the container, installing dotfiles and SSH keys, and creating SSH tunnels.

Jupyter Quant is a dockerized environment tailored for quantitative research, equipped with essential tools like statsmodels, pymc, arch, py_vollib, zipline-reloaded, PyPortfolioOpt, numpy, pandas, sci-py, scikit-learn, yellowbricks, shap, optuna, and more. It provides Interactive Broker connectivity via ib_async and includes major Python packages for statistical and time series analysis. The image is optimized for size, includes jedi language server, jupyterlab-lsp, and common command line utilities. Users can install new packages with sudo, leverage apt cache, and bring their own dot files and SSH keys. The tool is designed for ephemeral containers, ensuring data persistence and flexibility for quantitative analysis tasks.

The ai_quant_trade repository is a comprehensive platform for stock AI trading, offering learning, simulation, and live trading capabilities. It includes features such as factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, and high-frequency trading. The repository provides tools for monitoring stocks, stock recommendations, and deployment tools for live trading. It also features new functionalities like sentiment analysis using StructBERT, reinforcement learning for multi-stock trading with a 53% annual return, automatic factor mining with 5000 factors, customized stock monitoring software, and local deep reinforcement learning strategies.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

Moon Dev AI Agents for Trading is an experimental project exploring the potential of artificial financial intelligence for trading and investing research. The project aims to develop AI agents to complement and potentially replace human trading operations by addressing common trading challenges such as emotional reactions, ego-driven decisions, inconsistent execution, fatigue effects, impatience, and fear & greed cycles. The project focuses on research areas like risk control, exit timing, entry strategies, sentiment collection, and strategy execution. It is important to note that this project is not a profitable trading solution and involves substantial risk of loss.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

Qbot is an AI-oriented automated quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It provides a full closed-loop process from data acquisition, strategy development, backtesting, simulation trading to live trading. The platform emphasizes AI strategies such as machine learning, reinforcement learning, and deep learning, combined with multi-factor models to enhance returns. Users with some Python knowledge and trading experience can easily utilize the platform to address trading pain points and gaps in the market.

This repository provides a comprehensive collection of resources, open-source tools, and knowledge related to quantitative analysis. It serves as a valuable knowledge base and navigation guide for individuals interested in various aspects of quantitative investing, including platforms, programming languages, mathematical foundations, machine learning, deep learning, and practical applications. The repository is well-structured and organized, with clear sections covering different topics. It includes resources on system platforms, programming codes, mathematical foundations, algorithm principles, machine learning, deep learning, reinforcement learning, graph networks, model deployment, and practical applications. Additionally, there are dedicated sections on quantitative trading and investment, as well as large models. The repository is actively maintained and updated, ensuring that users have access to the latest information and resources.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

Speechless.AI is committed to integrating the superior language processing and deep reasoning capabilities of large language models into practical business applications. By enhancing the model's language understanding, knowledge accumulation, and text creation abilities, and introducing long-term memory, external tool integration, and local deployment, our aim is to establish an intelligent collaborative partner that can independently interact, continuously evolve, and closely align with various business scenarios.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

Chatbook is a paclet that adds support for LLM-powered notebooks to Wolfram. It allows users to interact with ChatGPT and generate immediately evaluatable Wolfram code. The code can be evaluated in place immediately, making it easy to explore and experiment with ideas.

AskDB is a revolutionary application that simplifies the way users interact with SQL databases. It allows users to query databases in plain English, provides instant answers, and offers AI-assisted query writing and database exploration. AskDB benefits business analysts, data scientists, managers, developers, and database administrators by making querying databases intuitive, effortless, and safe. It offers features like natural language querying, instant insight from data, multi-database connectivity, intelligent query suggestions, data privacy, and easy data export.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papers on LLMs inference and serving.

The GenAI repository contains pipelines that implement image and text generation tasks. The implementation uses OpenVINO capabilities to optimize the pipelines. Each sample covers a family of models and suggests certain modifications to adapt the code to specific needs. It includes the following pipelines: 1. Benchmarking script for large language models 2. Text generation C++ samples that support most popular models like LLaMA 2 3. Stable Diffuison (with LoRA) C++ image generation pipeline 4. Latent Consistency Model (with LoRA) C++ image generation pipeline

The collection is actively updated with the help of an internal literature search engine.

Intel® Neural Compressor is an open-source Python library that supports popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as TensorFlow, PyTorch, ONNX Runtime, and MXNet. It provides key features, typical examples, and open collaborations, including support for a wide range of Intel hardware, validation of popular LLMs, and collaboration with cloud marketplaces, software platforms, and open AI ecosystems.

Okay, here is a JSON object with the requested information about the awesome-cuda-tensorrt-fpga repository:

Market data, news, PhD level knowledge in Quant Finance, and advanced browsing

MIPS.

Effective DS & Algorithms coach (type "help" to start). "May the Forge be with you! 🚀"

Your algorithm study pal!

Numerai community bot with knowledge of Docs and posts

Python-focused expert on the 3Commas API, friendly and encouraging experimentation.

A specialized GPT for developing cryptocurrency trading strategies on Moralis Money

Solve Interview Guess Estimate Questions.

파이썬, C++, MATLAB 코드 및 GIF 제공창고, 특정 기술 키워드 제공

Friendly tutor enhancing mental math for case interviews.

Quizzes users on advanced machine learning concepts.

Generates mathematical conjectures with precision and creativity.

math funny formulas

Maximize your Stock Portfolio Performance with the Pareto Principle

Assistant for all data structures and algorithms related questions

Explain using math and python

An assistant for Amibroker Formula Language coding and debugging.

GPT-4-based assistant that remembers and saves conversations

快速入门强化学习的知识咀嚼器

是一个专门用于建立数学模型并撰写python代码的gpt.