Best AI tools for< investing >

Decode Investing is an AI tool designed to help users discover wonderful businesses and great investment ideas. It provides a range of features such as AI Stock Market Analyst, SEC Filings analysis, Earnings Calls recording, Stock Screener, and more. The platform is hand-crafted and made with care to assist users in making informed investment decisions.

AI Investing Tools is a curated directory of AI tools designed to help users automate their investing process. The platform offers a handpicked collection of AI investing tools that assist in making more money, developing trading strategies, automating investing, rebalancing portfolios, and analyzing markets. It aims to leverage AI technology to enhance trading efficiency, optimize portfolios, and eliminate emotional biases in investment decisions.

Composer is an AI-powered platform for building and executing trading algorithms without the need for coding skills. Users can create strategies with the assistance of an AI-powered editor, backtest them, and automate trading execution. The platform offers pre-built strategies, customization options, and features like automation, community sharing, and tax-smart trading. Composer aims to make sophisticated quant investing accessible to all levels of traders and investors.

Index Ventures is an AI tool that invests in groundbreaking founders and game-changers with a fire inside that can't be dimmed. They back visionaries across industries and provide resources, perspectives, and job opportunities for startups. The website showcases success stories of individuals like Assaf Rappaport, Linda Lian, and Alexandr Wang, who are making a significant impact in the tech and AI space. Index Ventures is committed to partnering with entrepreneurs to realize their vision and offers insights into the latest trends and investments in the startup ecosystem.

NVentures is NVIDIA's venture capital arm that invests in technology visionaries solving complex problems to reshape the world. They build long-term partnerships with bold teams to accelerate their journeys. NVentures provides insightful diligence and resources to unlock the potential of innovative companies.

Danelfin is a stock analytics platform powered by AI. It helps investors to pick the best stocks, optimize their portfolios, and make smart data-driven investment decisions. Danelfin's Artificial Intelligence calculates stocks' probabilities of beating the market based on past market behavior and stocks performance.

Pluto.fi is an AI-powered investment platform that provides users with personalized investment advice, research, and trading tools. The platform uses natural language processing and machine learning to analyze data from a variety of sources, including news articles, financial reports, and social media. This data is then used to generate insights and recommendations that are tailored to each user's individual needs and goals. Pluto.fi also offers a variety of features that make it easy for users to manage their investments, including a portfolio tracker, a stock screener, and a news feed. The platform is available as a web application and a mobile app.

Surmount AI is an automated investing platform designed to make investing accessible to everyone. It utilizes advanced algorithms to provide users with personalized investment strategies based on their financial goals and risk tolerance. With Surmount AI, users can easily create and manage their investment portfolios, track performance, and receive real-time insights to make informed decisions. The platform aims to democratize investing by removing barriers to entry and empowering individuals to grow their wealth through intelligent automation.

Stock Market GPT is an AI-powered investment research tool that provides investors with in-depth analysis and insights into global equities. It uses advanced AI models, including GPT-4, to help investors make better investment decisions. The tool offers a range of features, including stock comparison, live data, and growth-focused pricing.

AngelList is a platform that provides services for fund managers, venture and private equity investors, and startups. It offers a range of products such as full-service funds, rolling funds, syndicates, and tools for fund management. AngelList aims to streamline capital management, investor relations, and equity management for high-growth companies. The platform also offers resources, partnerships, and educational content to support users in navigating the world of venture investing and fundraising.

AltIndex is an AI-powered investment analysis platform that provides unique AI stock picks, stock alerts, and alternative insights to help users make better investment decisions. The platform goes beyond traditional financial data by integrating various alternative data points such as job postings, website traffic, customer satisfaction, app downloads, and social media trends. AltIndex offers impactful insights and alerts, cutting-edge solutions to stay informed about companies in your portfolio, and advanced algorithms for real-time investment decision-making.

StockGPT is an AI-powered financial research assistant that provides knowledge of earnings releases, financial reports, and fundamental information for S&P 500 and Nasdaq companies. It offers a new way to analyze companies/markets by leveraging AI, allowing users to search transcripts, ask for summaries, analyze company performance, and more. The tool provides customizable filters, accurate and up-to-date data, industry research capabilities, and access to transcripts for all Nasdaq companies.

StockGPTchat is an AI-powered platform that provides in-depth analysis, rankings, and insights for stocks, ETFs, cryptocurrencies, options, and more. It offers a range of tools and features to help investors make informed decisions, including a ChatGPT-like chatbot for instant data-driven responses. StockGPTchat is designed to empower investors of all levels, from beginners to experienced traders, with its user-friendly interface and comprehensive educational resources.

Yomii is a Real Estate Investing AI Assistant that offers free beta access to explore REITs, Timeshares, ETFs, and more. It provides expert consultations, comprehensive analytics, personalized investment matching, access to experts, powerful analytics, effortless sharing, properties worldwide, and connections to private investor communities. Users can ask questions, get information, invest through the platform, and access PDF reports. Yomii simplifies the investment journey with AI-driven tools for investors of all levels, making real estate investing accessible and profitable.

Monarch Money is an all-in-one money management platform that helps you track your finances, collaborate with your partner or financial advisor, and achieve your financial goals. It offers a variety of features, including budgeting, investment tracking, transaction categorization, and financial planning. Monarch Money is available on the web, iOS, and Android.

8VDX is an AI application that offers fine-tuned AI models for credit funds, aiming to scale credit investments workflow with advanced AI models. It helps in transforming underwriting processes, automating bond screening, and accelerating due diligence using AI technology. The application provides strategic advantages through fast, custom analysis and continuous learning from surveillance, enhancing decision-making and operational efficiency for credit underwriting.

Tradytics is a platform that bridges the gap between Wall Street and Retail Traders by simplifying complex trading data to make it accessible and actionable for every trader. The platform offers a comprehensive toolkit with a focus on options flow, alerts, and more, aiming to become a one-stop shop for retail traders. Tradytics provides data that only Wall Street professionals have access to, combines news for every stock with AI, and offers transparency as a core value. Users can access the platform on various platforms including web, iOS, and Android, with mobile apps available as lightweight versions of the website.

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.

Betterment is an automated investing platform that helps you build wealth, grow your savings, and plan for retirement. With Betterment, you can invest in a diversified portfolio of stocks and bonds, earn interest on your cash, and get personalized advice from financial experts. Betterment is a fiduciary, which means we act in your best interest. We'll help you set financial goals and set you up with investment portfolios for each goal.

Kavout is an AI-powered financial research assistant that provides investors with data-driven insights and cutting-edge technology to help them make informed investment decisions. The platform offers a range of features, including natural language search, stock screening, portfolio analysis, and personalized recommendations. Kavout's AI algorithms adapt to each user's unique investment style, providing tailored insights and guidance.

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.

A comprehensive guide to building Retrieval Augmented Generation (RAG)-based LLM applications for production. This guide covers developing a RAG-based LLM application from scratch, scaling the major components, evaluating different configurations, implementing LLM hybrid routing, serving the application in a highly scalable and available manner, and sharing the impacts LLM applications have had on products.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

noScribe is an AI-based software designed for automated audio transcription, specifically tailored for transcribing interviews for qualitative social research or journalistic purposes. It is a free and open-source tool that runs locally on the user's computer, ensuring data privacy. The software can differentiate between speakers and supports transcription in 99 languages. It includes a user-friendly editor for reviewing and correcting transcripts. Developed by Kai Dröge, a PhD in sociology with a background in computer science, noScribe aims to streamline the transcription process and enhance the efficiency of qualitative analysis.

Admyral is an open-source Cybersecurity Automation & Investigation Assistant that provides a unified console for investigations and incident handling, workflow automation creation, automatic alert investigation, and next step suggestions for analysts. It aims to tackle alert fatigue and automate security workflows effectively by offering features like workflow actions, AI actions, case management, alert handling, and more. Admyral combines security automation and case management to streamline incident response processes and improve overall security posture. The tool is open-source, transparent, and community-driven, allowing users to self-host, contribute, and collaborate on integrations and features.

The `unstructured` library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of `unstructured` revolve around streamlining and optimizing the data processing workflow for LLMs. `unstructured` modular functions and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and efficient in transforming unstructured data into structured outputs.

LlamaIndex is a data framework for building LLM applications. It provides tools for ingesting, structuring, and querying data, as well as integrating with LLMs and other tools. LlamaIndex is designed to be easy to use for both beginner and advanced users, and it provides a comprehensive set of features for building LLM applications.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

VectorFlow is an open source, high throughput, fault tolerant vector embedding pipeline. It provides a simple API endpoint for ingesting large volumes of raw data, processing, and storing or returning the vectors quickly and reliably. The tool supports text-based files like TXT, PDF, HTML, and DOCX, and can be run locally with Kubernetes in production. VectorFlow offers functionalities like embedding documents, running chunking schemas, custom chunking, and integrating with vector databases like Pinecone, Qdrant, and Weaviate. It enforces a standardized schema for uploading data to a vector store and supports features like raw embeddings webhook, chunk validation webhook, S3 endpoint, and telemetry. The tool can be used with the Python client and provides detailed instructions for running and testing the functionalities.

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.

RecAI is a project that explores the integration of Large Language Models (LLMs) into recommender systems, addressing the challenges of interactivity, explainability, and controllability. It aims to bridge the gap between general-purpose LLMs and domain-specific recommender systems, providing a holistic perspective on the practical requirements of LLM4Rec. The project investigates various techniques, including Recommender AI agents, selective knowledge injection, fine-tuning language models, evaluation, and LLMs as model explainers, to create more sophisticated, interactive, and user-centric recommender systems.

Dexter is a set of mature LLM tools used in production at Dexa, with a focus on real-world RAG (Retrieval Augmented Generation). It is a production-quality RAG that is extremely fast and minimal, and handles caching, throttling, and batching for ingesting large datasets. It also supports optional hybrid search with SPLADE embeddings, and is a minimal TS package with full typing that uses `fetch` everywhere and supports Node.js 18+, Deno, Cloudflare Workers, Vercel edge functions, etc. Dexter has full docs and includes examples for basic usage, caching, Redis caching, AI function, AI runner, and chatbot.

Awesome GPT + Security is a curated list of awesome security tools, experimental case or other interesting things with LLM or GPT. It includes tools for integrated security, auditing, reconnaissance, offensive security, detecting security issues, preventing security breaches, social engineering, reverse engineering, investigating security incidents, fixing security vulnerabilities, assessing security posture, and more. The list also includes experimental cases, academic research, blogs, and fun projects related to GPT security. Additionally, it provides resources on GPT security standards, bypassing security policies, bug bounty programs, cracking GPT APIs, and plugin security.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

CAMEL is an open-source library designed for the study of autonomous and communicative agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

Awesome-llm-role-playing-with-persona is a curated list of resources for large language models for role-playing with assigned personas. It includes papers and resources related to persona-based dialogue systems, personalized response generation, psychology of LLMs, biases in LLMs, and more. The repository aims to provide a comprehensive collection of research papers and tools for exploring role-playing abilities of large language models in various contexts.

LLM-Tuning is a collection of tools and resources for fine-tuning large language models (LLMs). It includes a library of pre-trained LoRA models, a set of tutorials and examples, and a community forum for discussion and support. LLM-Tuning makes it easy to fine-tune LLMs for a variety of tasks, including text classification, question answering, and dialogue generation. With LLM-Tuning, you can quickly and easily improve the performance of your LLMs on downstream tasks.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

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Friendly guide on crypto investing, adapting to user's knowledge and detail preference.

Father of value investing

Mastering the art of compound investing.

The essence of Quantitative Investing

Assists in real estate investing with clear, informative guidance.

Specialist in business logic and value investing

I'll help you analyze market news and charts for trading/investing

Brief, direct insights with Munger's quotes on investing, psychology of human misjudgement, business perspectives

Your intellectual sparring partner on startups, investing, work life, based on Anu Atluru's essays.

Ask Naval Ravikant about on wealth, investing, and self-improvement.

Offers Munger-style advice on life, business, and investing.

Use me for educational insights, ALPHA, and strategies for investing in Domains & Digital Identity. Your GUIDE to Unstoppable Domains, ENS, Freename, HNS, and more. *DO NOT use as Financial Advice & Always DYOR* https://iheartdomains.com

A GPT embodying Charles Munger's wisdom in business, investing, and life.

A savvy guide for financial insights and strategies, including fundamental, technical, and sentiment analysis for investing and trading.

An adept financier overseeing a varied collection of investments, dedicated to recognizing and nurturing innovative business endeavors.

Analyzes investments for sustainability and social impact, with ESG reporting guidance.

An analyst versed in investment strategies and philosophies of financial icons.

Cannabis investment AI expert, delivering clear, adaptable, and comprehensive guidance.