Search Results for "risk analysis"
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Showing 17 open source projects for "risk analysis"
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Quantitative Trading System
A comprehensive quantitative trading system with AI-powered analysis
...The system supports real-time data streaming, allowing strategies to respond to market conditions as they evolve. QuantMuse also incorporates advanced risk management features, including portfolio monitoring, risk limits, and dynamic position sizing to control exposure. -
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Tauric TradingAgents
Multi-Agents LLM Financial Trading Framework
Tauric TradingAgents is a multi-agent AI framework designed for financial analysis, strategy generation, and automated trading workflows. It coordinates multiple specialized agents that collaborate on tasks such as data analysis, signal generation, and risk evaluation. The system enables complex reasoning by distributing responsibilities across agents, improving decision-making quality. It supports integration with market data sources and trading environments for real-world application. ... -
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skfolio
Python library for portfolio optimization built on top of scikit-learn
skfolio is a Python library designed for portfolio optimization and financial risk management that integrates closely with the scikit-learn ecosystem. The project provides a unified machine learning-style framework for building, validating, and comparing portfolio allocation strategies using financial data. By following the familiar scikit-learn API design, the library allows quantitative researchers and developers to apply techniques such as model selection, cross-validation, and... -
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A.I.G (AI-Infra-Guard)
Full-stack AI Red Teaming platform
AI-Infra-Guard is a powerful open-source security platform from Tencent’s Zhuque Lab designed to assess the safety and resilience of AI infrastructures, codebases, and components through automated scanning and evaluation tools. It brings together AI infrastructure vulnerability scanning, MCP server risk analysis, and jailbreak evaluation into a unified workflow so that enterprises and individuals can identify critical security issues without relying on external services. Users can deploy it via Docker or scripts to get a modern web UI that guides them through tasks like scanning third-party frameworks for known CVEs and experimenting with prompt security against attack vectors. ... -
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CyberStrikeAI
CyberStrikeAI is an AI-native security testing platform built in Go
...Through comprehensive lifecycle management, results are tracked, aggregated, and visualized, with support for versioned persistence, search, and risk severity scoring. -
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FinGPT
Open-Source Financial Large Language Models
FinGPT is an open-source, finance-specialized large language model framework that blends the capabilities of general LLMs with real-time financial data feeds, domain-specific knowledge bases, and task-oriented agents to support market analysis, research automation, and decision support. It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports. -
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DeepAudit
AI multi-agent platform for automated code security auditing system
...DeepAudit integrates retrieval-augmented generation techniques to enhance contextual understanding and reduce false positives during analysis. Users can import projects and trigger a full audit workflow that includes risk identification, exploit generation, validation, and final report creation. -
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Jev Chat Jarvis
Conversational co-pilot installed on mobile phone
Jev Chat Jarvis is an open-source conversation assistant that analyzes visible chats and suggests possible replies while leaving final sending control to the user. On Android, it can read supported conversations through accessibility services instead of modifying or hooking messaging applications. Its decision stage identifies intent, perceived risk, requested action, and whether an immediate reply may be appropriate before generating candidates. Three suggested replies can then be ranked... -
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WooYun Legacy
wooyun-legacy skill for claude code
...A lightweight installation provides condensed indexes, while the full repository exposes the complete case collection for deeper research. It is intended for authorized testing, risk analysis, code review, and defensive security work. The maintainers have stated that the project is no longer actively maintained. -
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LitterBox
A secure sandbox environment for malware developers and red teamers
...Repo metadata and author pages highlight an active security-tools ecosystem around the maintainer, with CI and pull-request activity suggesting ongoing development. The project positions itself as a safe proving ground to reduce surprises in the field while minimizing operational risk. For teams exploring MCP integrations, notes mention pairing with LLM agents for assisted analysis. -
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Council of High Intelligence
18 AI personas deliberate your hardest decisions
...It is designed for decisions where hidden assumptions, groupthink, vague framing, or overconfident conclusions can cause poor outcomes. Users can run a full council, a quick analysis, a two-person dialectic, or domain-specific triads for areas like architecture, strategy, ethics, debugging, product, risk, and AI safety. The result is a synthesized verdict that highlights disagreements, unresolved questions, and recommended next steps. -
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Open Interpreter
A natural language interface for computers
Open Interpreter is an open-source tool that provides a natural-language interface for interacting with your computer. It lets large language models (LLMs) run code locally (Python, JavaScript, shell, etc.), enabling you to ask your computer to do tasks like data analysis, file manipulation, browsing, etc. in human terms (“chat with your computer”), with safeguards. Runs locally or via configured remote LLM servers/inference backends, giving flexibility to use models you trust or have... -
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Vibe-Trading
Vibe-Trading: Your Personal Trading Agent
Vibe-Trading is an AI-powered multi-agent financial workspace that converts natural language inputs into executable trading strategies and market analysis. It allows users to describe investment ideas in plain language, which are then translated into code, backtested, and evaluated across global markets. The platform integrates multiple data sources, including equities, crypto, and derivatives, with automatic fallback mechanisms. It features a swarm-based architecture with prebuilt expert agent teams for research, trading, and risk management. ... -
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FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
FinRobot is an open-source AI framework focused on automating financial data workflows by combining data ingestion, feature engineering, model training, and automated decision-making pipelines tailored for quantitative finance applications. It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to... -
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QuantResearch
Quantitative analysis, strategies and backtests
QuantResearch is a large educational repository dedicated to quantitative finance, algorithmic trading, and financial machine learning research. The project contains numerous notebooks and research materials demonstrating quantitative analysis techniques used in financial markets. These include implementations of factor models, statistical arbitrage strategies, portfolio optimization methods, and reinforcement learning approaches to trading. The repository also explores financial modeling... -
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DevOpsGPT
Multi agent system for AI-driven software development
Welcome to the AI Driven Software Development Automation Solution, abbreviated as DevOpsGPT. We combine LLM (Large Language Model) with DevOps tools to convert natural language requirements into working software. This innovative feature greatly improves development efficiency, shortens development cycles, and reduces communication costs, resulting in higher-quality software delivery. The automated software development process significantly reduces delivery time, accelerating software... -
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AppShark
Static taint analysis platform to scan vulnerabilities
AppShark is an open-source static taint-analysis platform developed by ByteDance designed to scan Android application packages (APKs) for potential security or privacy vulnerabilities. It performs code analysis without executing the app — inspecting APK contents, tracking data flows (taints), and detecting risky patterns such as insecure file access, unsafe API usage, resource-leak possibilities, or misconfigurations. Users can customize scanning via rule sets (written in JSON), defining...
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