Best AI tools for< Quantitative-analyst >

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.

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.

Fintwit is an AI-powered stock market analysis tool that provides users with stock market quotes, free screener, AI top picks, AI stock analysis, market news, and trading signals. The platform leverages artificial intelligence to offer valuable insights and recommendations to investors and traders. With Fintwit, users can access real-time data, make informed investment decisions, and stay updated on the latest market trends.

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 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.

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.

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.

Trade Ideas is an AI-driven stock scanning and charting platform that provides unmatched precision in finding the biggest movers first. It offers AI-powered Buy/Sell signals, real-time market scanning, customizable alerts, advanced charting capabilities, and time-saving data visualization. Users can access the platform on any device, empowering them to make smarter trading decisions and stay ahead of the game. Trade Ideas also features a live trading room with expert market commentary and a simulator for practicing new trading strategies under actual market conditions. The platform is trusted by leading brokers and trading platforms, offering users a competitive edge in the market.

Dotbee.ai is a private AI analyst tool designed for traders in the financial markets, offering analysis on CFD, Forex, Crypto, and Stocks Exchange. The tool provides over 35,000 indexes, 150 indicators, pattern and candle analysis, support and resistance levels, as well as fundamental, technical, and sentimental analysis. Powered by AI, Dotbee.ai delivers real-time insights to help users make informed decisions in the dynamic and complex markets.

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.

Investilyze is a real-time stock analysis platform powered by AI that provides users with instant notifications about market movements to make data-driven decisions. The platform processes thousands of data points across global markets to identify potential trading opportunities, assigns confidence scores and impact levels to signals, and offers different subscription plans for users with varying investment needs. Investilyze aims to help investors overcome information overload, analysis paralysis, and missed opportunities by leveraging AI technology for smarter trading decisions.

BIASafe is an AI-driven platform that revolutionizes institutional portfolio management by leveraging artificial intelligence to drive unbiased, efficient, and scalable investment decisions. The platform offers a comprehensive suite of tools, including Soteria AI for data analytics, research and development capabilities, and portfolio management solutions. BIASafe empowers users with AI-powered intelligence for data-driven decision-making, predictive analytics, and uncovering hidden opportunities across portfolio strategies. The platform features a no-code R&D ecosystem for rapid design and strategy deployment, along with fully automated portfolio operations. With a focus on bias-free decisions and accelerated innovation, BIASafe sets a new standard in institutional-grade investment tools.

Ailtra's AI Crypto Bot is a revolutionary trading tool that leverages artificial intelligence to maximize profits and minimize losses in the cryptocurrency market. With its advanced algorithms, smart fund management, and risk-free trading experience, Ailtra empowers traders of all levels to achieve consistent profitability. The AI Crypto Bot's 13 levels of holding capacity and intelligent trading strategies ensure that your investments are in capable hands, guiding you through the complexities of the crypto market.

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.

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.

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.

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.

Capital Companion is an AI-powered trading and investing platform designed to provide users with a competitive edge in the markets. The platform offers a range of features including 24/7 AI assistant support, intelligent trading recommendations, risk analysis tools, real-time stock analytics, market sentiment analysis, and pattern recognition for technical analysis. By leveraging artificial intelligence, Capital Companion aims to help traders make well-informed decisions and protect their investments in a dynamic market environment.

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.

NITG Inc is the world's leading AI quantitative trading platform that combines innovative technologies such as AI, blockchain, and big data analysis to provide intelligent quantitative services. The platform offers efficient and secure trading solutions, automated intelligent trading system, excellent customer support, professional guidance, and top technical team to ensure a stable and reliable trading environment. NITG's AI quantitative trading strategies enable emotion-free decision-making, efficient execution, enhanced risk control capabilities, and adaptability to different market environments. The platform is committed to safeguarding users' funds and data through high-security measures and transparent trading practices.

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.

This repository contains a collection of articles and tutorials on quantitative finance, including topics such as machine learning, statistical arbitrage, and risk management. The articles are written in a clear and concise style, and they are suitable for both beginners and experienced practitioners. The repository also includes a number of Jupyter notebooks that demonstrate how to use Python for quantitative finance.

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.

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.

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.

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.

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.

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.

AI-LLM-ML-CS-Quant-Readings is a repository dedicated to taking notes on Artificial Intelligence, Large Language Models, Machine Learning, Computer Science, and Quantitative Finance. It contains a wide range of resources, including theory, applications, conferences, essentials, foundations, system design, computer systems, finance, and job interview questions. The repository covers topics such as AI systems, multi-agent systems, deep learning theory and applications, system design interviews, C++ design patterns, high-frequency finance, algorithmic trading, stochastic volatility modeling, and quantitative investing. It is a comprehensive collection of materials for individuals interested in these fields.

AI-LLM-ML-CS-Quant-Overview is a repository providing overview notes on AI, Large Language Models (LLM), Machine Learning (ML), Computer Science (CS), and Quantitative Finance. It covers various topics such as LangGraph & Cursor AI, DeepSeek, MoE (Mixture of Experts), NVIDIA GTC, LLM Essentials, System Design, Computer Systems, Big Data and AI in Finance, Econometrics and Statistics Conference, C++ Design Patterns and Derivatives Pricing, High-Frequency Finance, Machine Learning for Algorithmic Trading, Stochastic Volatility Modeling, Quant Job Interview Questions, Distributed Systems, Language Models, Designing Machine Learning Systems, Designing Data-Intensive Applications (DDIA), Distributed Machine Learning, and The Elements of Quantitative Investing.

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.

FinRL-DeepSeek is a project focusing on LLM-infused risk-sensitive reinforcement learning for trading agents. It provides a framework for training and evaluating trading agents in different market conditions using deep reinforcement learning techniques. The project integrates sentiment analysis and risk assessment to enhance trading strategies in both bull and bear markets. Users can preprocess financial news data, add LLM signals, and train agent-ready datasets for PPO and CPPO algorithms. The project offers specific training and evaluation environments for different agent configurations, along with detailed instructions for installation and usage.

StockTrading AI is a small model stock automatic trading system that integrates with securities platforms, implements automated stock trading, utilizes QuartZ for scheduled tasks to update data daily, employs DL4J framework for LSTM model guidance on stock buying with T+1 short-term trading strategy, utilizes K8S+GithubAction for DevOps, and supports distributed offline training. Future optimizations include obtaining more historical stock data for incremental model training and tuning model hyperparameters to improve price trend prediction accuracy. The system provides various page displays for profit data statistics, trade order queries, stock price viewing, model prediction performance, scheduled task scheduling, and real-time log tracking.

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.

AI Financial Agent is a proof of concept project exploring the use of AI for investment research. It provides an AI SDK with a unified API for generating text and structured objects, along with access to real-time and historical stock market data optimized for AI financial agents. The project includes features like dynamic chat interfaces, support for multiple model providers, and styling with Tailwind CSS. Users can deploy their own version of the AI Financial Agent using Vercel and GitHub integration.

Polymarket Agents is a developer framework and set of utilities for building AI agents to trade autonomously on Polymarket. It integrates with Polymarket API, provides AI agent utilities for prediction markets, supports local and remote RAG, sources data from various services, and offers comprehensive LLM tools for prompt engineering. The architecture features modular components like APIs and scripts for managing local environments, server set-up, and CLI for end-user commands.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

Numerapi is a Python client to the Numerai API that allows users to automatically download and upload data for the Numerai machine learning competition. It provides functionalities for downloading training data, uploading predictions, and accessing user, submission, and competitions information for both the main competition and Numerai Signals competition. Users can interact with the API using Python modules or command line interface. Tokens are required for certain actions like uploading predictions or staking, which can be obtained from Numer.ai account settings. The tool also supports features like checking new rounds, getting leaderboards, and managing stakes.

The `mystic` framework provides a collection of optimization algorithms and tools that allow the user to robustly solve hard optimization problems. It offers fine-grained power to monitor and steer optimizations during the fit processes. Optimizers can advance one iteration or run to completion, with customizable stop conditions. `mystic` optimizers share a common interface for easy swapping without writing new code. The framework supports parameter constraints, including soft and hard constraints, and provides tools for scientific machine learning, uncertainty quantification, adaptive sampling, nonlinear interpolation, and artificial intelligence. `mystic` is actively developed and welcomes user feedback and contributions.

The essence of Quantitative Investing

Your Personal Quantitative Trading Assistant

HF trading expert with a blend of professional and conversational styles

VaultCraft trains users to create automated yield strategies using the VaultCraft VCI & SDK

Expert in CFA, quant, software engineering, data science, and economics for investment strategies.

Stock time-series data analysis

Advanced AI for complex computations and data analysis.

Expert in financial mathematics, providing detailed explanations and guidance.

Friendly, educated assistant for Pine Script v5.

Specializes in searching MQL codebase for EAs, indicators, and scripts.

Revisa las cotizaciones el BTC, USDT y USDC en distintas apps.

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

質問に答えながらEAソースコードを簡単作成！ MQL4/5両者対応しています。

Creates trading bots and risk management tools

Crypto trading bot

精通数学分析和高等代数，使用中文回答。

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

Developer with the latest MQL5 documentation. Assists in making Expert Advisors for trading, Debugging, etc.

MT4/MT5 EA development advisor

OCamlは至高の言語