Best AI tools for< Quantitative Data Analyst >
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20 - AI tool Sites

Web3 Summary
Web3 Summary is an AI-powered platform that simplifies on-chain research across multiple chains and protocols, helping users find trading alpha in the DeFi and NFT space. It offers a range of products including a trading terminal, wallet study tool, Discord bot, mobile app, and Chrome extension. The platform aims to streamline the process of understanding complex crypto projects and tokenomics using AI and ChatGPT technology.

User Evaluation
User Evaluation is an AI-first user research platform that leverages AI technology to provide instant insights, comprehensive reports, and on-demand answers to enhance customer research. The platform offers features such as AI-driven data analysis, multilingual transcription, live timestamped notes, AI reports & presentations, and multimodal AI chat. User Evaluation empowers users to analyze qualitative and quantitative data, synthesize AI-generated recommendations, and ensure data security through encryption protocols. It is designed for design agencies, product managers, founders, and leaders seeking to accelerate innovation and shape exceptional product experiences.

Personno.ai
Personno.ai is an AI-driven market research platform that provides businesses with access to a pool of AI-generated respondents. These respondents are designed to mimic the behavior and characteristics of real human respondents, allowing businesses to conduct research studies quickly and cost-effectively. Personno.ai's platform includes a range of features that make it easy to create and manage research studies, including the ability to create custom audiences, conduct real-time interviews, and collect both qualitative and quantitative data.

WhyHive
WhyHive is an AI-powered data analysis tool that helps users find and code key themes in their data, then visualize their findings with beautiful, shareable charts. It is designed to be easy to use, even for those with no prior experience with data analysis. WhyHive can analyze thousands of rows of data in minutes, saving users hours of manual coding time. It can also be used to analyze both quantitative and qualitative data, making it a versatile tool for a variety of research projects.

SocialGuard.co
SocialGuard.co is a website that currently faces an issue with an invalid SSL certificate, causing an error code 526. The website is hosted on Cloudflare and provides information on the SSL certificate error. Users visiting the site are advised to wait a few minutes if they encounter the error. For website owners, the error indicates a problem with the SSL certificate validation, possibly due to expiration or incorrect configuration. The site recommends contacting the hosting provider to resolve the issue.

Toggle Terminal
Toggle Terminal is an AI-powered platform that brings data to life with natural language. It offers a suite of award-winning analytic tools wrapped in an accessible, natural language-based user experience. Users can ask questions in plain language and receive immediate, data-backed answers without the need for coding or spreadsheet manipulation. Toggle Terminal provides institutional-grade analytical tools for scenario testing, asset intelligence, chart exploration, and idea discovery. It helps users connect data, test market hypotheses, screen securities, and explore hidden relationships between organizations. Additionally, Toggle AI offers customized AI solutions and integrations for institutional investors in asset management and capital markets.

CrowdPrisma
CrowdPrisma is an AI-powered platform that revolutionizes qualitative surveys by turning text responses into quantitative insights. It offers a TextEngine that can analyze thousands of responses in minutes, group them into coherent themes, and provide sentiment classification. The platform also features an interactive dashboard for subgroup analysis, AI-powered compression of survey data, automatic discovery of respondent groups, and multilingual support. CrowdPrisma is designed to help with market research, customer experience analysis, human resources insights, policy research, and more.

Deepcell
Deepcell is a company that develops technology for single-cell analysis. Their REM-I platform combines label-free imaging, deep learning, and gentle sorting to leverage single cell morphology as a high-dimensional quantitative readout. This allows researchers to gain insights into cells' phenotype and function to address important research questions across biology.

Nyle
Nyle is an AI-powered operating system for e-commerce growth. It provides tools to generate higher profits and increase team productivity. Nyle's platform includes advanced market analysis, quantitative assessment of customer sentiment, and automated insights. It also offers collaborative dashboards and interactive modeling to facilitate decision-making and cross-functional alignment.

Hubble
Hubble is an all-in-one user research platform designed to help uncover meaningful insights quickly and easily. It offers a wide range of features such as in-product research, contextual surveys, prototype testing, usability tests, participant recruitment, and resources like guides, templates, and demo videos. Trusted by product and research teams in world-class organizations, Hubble provides fast, scalable insights with industry-leading coverage of task types and surveys. With AI-powered research report building, quantitative data analysis, and easy exporting capabilities, Hubble aims to streamline the user research process and drive customer-centric decision-making.

Stockpulse
Stockpulse is an AI-powered platform that analyzes financial news and communities using Artificial Intelligence. It provides decision support for operations by collecting, filtering, and converting unstructured data into processable information. With extensive coverage of financial media sources globally, Stockpulse offers unique historical data, sentiment analysis, and AI-driven insights for various sectors in the financial markets.

Three Sigma
Three Sigma is a quantitative hedge fund that uses advanced artificial intelligence and machine learning techniques to identify and exploit trading opportunities in global financial markets.

STRATxAI
STRATxAI is an AI-powered quantitative investment platform that offers custom AI model portfolios tailored to clients' investment philosophy, risk tolerance, and objectives. The platform harnesses machine learning to deliver data-driven insights for security analysis, portfolio construction, and management. Powered by the proprietary investment engine Alana, STRATxAI processes over 8 billion financial data points daily to uncover hidden alpha beyond traditional methods. Clients benefit from smarter decision-making, better risk-adjusted returns, optimized portfolio management, and savings on resources. The platform is designed to enhance investment decisions for forward-thinking investors by leveraging AI technology.

TrendEdge
TrendEdge is an AI-driven platform that revolutionizes investment strategies by providing comprehensive insights through the analysis of real-time social trends and alternative data sources. It offers exclusive data access, AI-powered stock signals, and personalized recommendations to help users make informed and confident investment decisions. The platform integrates diverse data sources, including social media sentiment, technical indicators, and fundamental analysis, to provide a nuanced market view and uncover hidden trends.

Tradytics
Tradytics is an AI-powered platform that simplifies complex trading data, making it accessible and actionable for every trader. With expertise in AI, Tradytics mines data that only Wall Street professionals have access to, providing a one-stop shop for all traders. The platform combines news for every stock, summarizes them with AI, and offers high-quality data worth millions to retail traders. Tradytics is available on all platforms, including Web, iOS, and Android, with lightweight mobile apps. The platform also offers Discord integration through bots for data access within Discord servers.

Sagehood
Sagehood is an AI-driven platform that provides real-time market intelligence for investors in the finance sector. By harnessing AI-driven insights, Sagehood helps users stay ahead in the dynamic world of finance by offering intelligent analysis, deep-dive analysis, strategic execution, and intelligent synthesis. The platform aims to optimize investment strategies and enhance decision-making by leveraging AI technology to analyze vast amounts of data and provide actionable insights. With advanced features for informed decision-making and a focus on minimizing bias while maximizing insight, Sagehood offers tailored intelligence to help users make data-driven investment decisions.

AI Signals
AI Signals is an AI trading application that provides cutting-edge AI trading tools and signals for a diverse range of crypto pairs. The platform offers advanced AI algorithms that ensure precise and timely signals for trading, enhancing trading performance and delivering consistent long-term success. With a focus on accuracy, reliability, and user satisfaction, AI Signals stands out as the ultimate choice for traders seeking to maximize gains and minimize risks in the cryptocurrency market.

TradeUI
TradeUI is a comprehensive trading platform that provides advanced tools and resources for stock and options traders. It offers a range of features powered by artificial intelligence (AI), including AI sentiment analysis, option flow analysis, and AI pattern recognition. These tools help traders make informed decisions and identify potential trading opportunities. TradeUI also provides educational videos, a vibrant community, and a unified ecosystem for traders to connect and share knowledge.

Dark Pools
Dark Pools is a leading provider of AI-powered solutions for the financial industry. Our mission is to empower our clients with the tools and insights they need to make better decisions, improve their performance, and stay ahead of the competition. We offer a range of products and services that leverage AI to automate tasks, optimize workflows, and generate actionable insights. Our solutions are used by a wide range of financial institutions, including hedge funds, asset managers, and banks.

Bloomberg
Bloomberg is a leading global provider of financial data, news, and analytics. The company is known for its innovative technology solutions, including the Bloomberg Terminal, which revolutionized the industry by delivering critical insights and actionable information to financial decision-makers. Bloomberg is at the forefront of artificial intelligence, machine learning, and natural language processing, offering tools and automated workflows to help clients navigate the vast amount of data available in the financial markets. With a focus on engineering value for customers and keeping humans in the loop, Bloomberg continues to drive innovation and provide cutting-edge technology solutions for over 325,000 financial professionals worldwide.
20 - Open Source Tools

2025-AI-College-Jobs
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.

Awesome-LLM-Reasoning
**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

ai-hedge-fund
AI Hedge Fund is a proof of concept for an AI-powered hedge fund that explores the use of AI to make trading decisions. The project is for educational purposes only and simulates trading decisions without actual trading. It employs agents like Market Data Analyst, Valuation Agent, Sentiment Agent, Fundamentals Agent, Technical Analyst, Risk Manager, and Portfolio Manager to gather and analyze data, calculate risk metrics, and make trading decisions.

Quantus
Quantus is a toolkit designed for the evaluation of neural network explanations. It offers more than 30 metrics in 6 categories for eXplainable Artificial Intelligence (XAI) evaluation. The toolkit supports different data types (image, time-series, tabular, NLP) and models (PyTorch, TensorFlow). It provides built-in support for explanation methods like captum, tf-explain, and zennit. Quantus is under active development and aims to provide a comprehensive set of quantitative evaluation metrics for XAI methods.

sec-parser
The `sec-parser` project simplifies extracting meaningful information from SEC EDGAR HTML documents by organizing them into semantic elements and a tree structure. It helps in parsing SEC filings for financial and regulatory analysis, analytics and data science, AI and machine learning, causal AI, and large language models. The tool is especially beneficial for AI, ML, and LLM applications by streamlining data pre-processing and feature extraction.

Taiyi-LLM
Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

HuatuoGPT-II
HuatuoGPT2 is an innovative domain-adapted medical large language model that excels in medical knowledge and dialogue proficiency. It showcases state-of-the-art performance in various medical benchmarks, surpassing GPT-4 in expert evaluations and fresh medical licensing exams. The open-source release includes HuatuoGPT2 models in 7B, 13B, and 34B versions, training code for one-stage adaptation, partial pre-training and fine-tuning instructions, and evaluation methods for medical response capabilities and professional pharmacist exams. The tool aims to enhance LLM capabilities in the Chinese medical field through open-source principles.

interpret
InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Awesome-explainable-AI
This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

AiTreasureBox
AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

AITreasureBox
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.

AI-CryptoTrader
AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to combine the predictions of multiple algorithms. Written in Python, it connects to the Binance trading platform and integrates with Azure for efficiency and scalability. The bot uses technical indicators and machine learning algorithms to generate predictions for buy and sell orders, adjusting to market conditions. While robust, users should be cautious due to cryptocurrency market volatility.

Transformers_And_LLM_Are_What_You_Dont_Need
Transformers_And_LLM_Are_What_You_Dont_Need is a repository that explores the limitations of transformers in time series forecasting. It contains a collection of papers, articles, and theses discussing the effectiveness of transformers and LLMs in this domain. The repository aims to provide insights into why transformers may not be the best choice for time series forecasting tasks.

AI-Security-and-Privacy-Events
AI-Security-and-Privacy-Events is a curated list of academic events focusing on AI security and privacy. It includes seminars, conferences, workshops, tutorials, special sessions, and covers various topics such as NLP & LLM Security, Privacy and Security in ML, Machine Learning Security, AI System with Confidential Computing, Adversarial Machine Learning, and more.

jupyter-quant
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
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.

adata
AData is a free and open-source A-share database that focuses on transaction-related data. It provides comprehensive data on stocks, including basic information, market data, and sentiment analysis. AData is designed to be easy to use and integrate with other applications, making it a valuable tool for quantitative trading and AI training.
20 - OpenAI Gpts

Quant Jiang
"My quantitative, my math specialist. Look at him, you notice anything different about him? Look at his face."

MilaexGPT
Mila-ex: Your solution to seamless data and price retrieval across cryptocurrency exchanges, through our unified and simple RESTful API.

Math Mentor XL
Expert math tutor and problem solver with online research and data analysis skills.

How to Measure Anything
对各种量化问题进行拆解和粗略的估算。注意这种估算主要是靠推测,而不是靠准确的数据,因此仅供参考。理想情况下,估算结果和真实值差距可能在1个数量级以内。即使数值不准确,也希望拆解思路对你有所启发。

Nimbus
Expert in CFA, quant, software engineering, data science, and economics for investment strategies.
VaultCraft Trainer
VaultCraft trains users to create automated yield strategies using the VaultCraft VCI & SDK