Search Results for "risk"
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Showing 26 open source projects for "risk"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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Kalshi Trading Bot CLI
AI-native CLI for trading Kalshi prediction markets
...It operates by conducting deep research on events, generating independent probability estimates, and comparing those estimates against current market prices to identify trading opportunities. The system incorporates advanced decision-making logic, including Kelly criterion-based position sizing and a structured multi-step risk evaluation process before executing trades. Built as a CLI application, it allows traders to interact programmatically with markets, making it suitable for automation and integration into larger trading pipelines. The tool emphasizes disciplined trading through its risk engine, ensuring that decisions are filtered through multiple validation layers before capital is committed. -
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AutoHedge
Build your autonomous hedge fund in minutes
...It also emphasizes modularity, enabling developers to customize strategies, risk parameters, and decision logic. AutoHedge is particularly useful for experimentation and research in algorithmic trading and financial automation. Overall, it represents an attempt to bring agent-based intelligence into portfolio management and risk mitigation workflows. -
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ThetaGang
ThetaGang is an IBKR bot for collecting money
...For one, it's intended to be used to augment a typical index-fund-based portfolio with specific asset allocations. For example, you might want to use a 60/40 portfolio with SPY (S&P500 fund) and TLT (20-year treasury fund). This strategy reduces risk, but may also limit gains from big market swings. By reducing risk, one can increase leverage. ThetaGang will try to acquire your desired allocation of each stock or ETF according to the weights you specify in the config. To acquire the positions, the script will write puts when conditions are met. -
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Awesome-Quant
A curated list of insanely awesome libraries, packages and resources
awesome-quant is a curated list (“awesome list”) of libraries, packages, articles, and resources for quantitative finance (“quants”). It includes tools, frameworks, research papers, blogs, datasets, etc. It aims to help people working in algorithmic trading, quant investing, financial engineering, etc., find useful open source or educational resources. Licensed under typical “awesome” list standards. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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FinGPT
Open-Source Financial Large Language Models
...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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FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
...The framework also tends to include automation layers for deployment, enabling trained models to operate in live or simulated environments with scheduled re-training and risk controls in place. -
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Kalshi-Quant-TeleBot
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade automated trading system designed for the Kalshi event-based prediction market. Built with cutting-edge quantitative algorithms and professional risk management, it provides institutional-quality trading capabilities with user-friendly control The Kalshi Advanced Quantitative Trading Bot is a professional-grade automated trading system designed specifically for event-based markets on the Kalshi platform. This bot leverages advanced quantitative strategies, machine learning techniques, and real-time data analysis to identify profitable trading opportunities while maintaining robust risk management protocols. ... -
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ManagerSheet
A one-page investment portfolio report
ManagerSheet is a one-page investment portfolio report, that analyses and presents an investment portfolio with respect to: - Performance - Investment style - Risk More information on the report concept and instructions on how to create one's own portfolio reports can be found at the ManagerSheet Web Site under the "Documentation" section. Please note that the project is in alpha stage. -
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AutoTrader
A Python-based development platform for automated trading systems
...It provides tools for backtesting, strategy optimization, visualization, and live trading integration. A feature-rich trading simulator, supporting backtesting and paper trading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable of simulating multiple order types, stop-losse,s and take-profits, cross-exchange arbitrage and portfolio strategies, AutoTrader has more than enough to build a profitable trading system. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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How to Make More Money
How Programmers Can Earn Pocket Money Elegantly, Version 2.0
...It is organized into topical segments—such as passive income, side hustles, financial instruments, learning methods, and mindset changes—along with recommended reading and toolkits. The intention is to guide individuals in thinking systematically about generating revenue streams, avoiding get-rich-quick traps, and evaluating risk/reward tradeoffs. Contributors can suggest additions or commentary, turning it into a curated knowledge base rather than a rigid program. Because it’s not a software application, the “code” is minimal; instead the value lies in structured content and links to external resources. Readers use it as a compass for planning personal growth and financial experiments rather than a turnkey solution. -
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OpenPPM
Project Portfolio Management
Open PPM is an open source product, used for Project Management and Project Portfolio Management, in accordance with the PMBOK® (Project Management Body of Knowledge) guide, from PMI® (Project Management Institute). -
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CCruncher
Open-Source Project for Credit Risk Modeling
CCruncher is a project for quantifying portfolio credit risk using the copula approach. It is a framework consisting of two elements: a technical document that explains the theory, and a software program that implements it. CCruncher evaluates the portfolio credit risk by sampling the portfolio loss distribution and computing the Expected Loss (EL), Value at Risk (VaR) and Expected Shortfall (ES) statistics. -
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A quantitative finance C++ library for modeling, pricing, trading, and risk management in real-life. A cross-platform free/open-source tool for derivatives and financial engineering.
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PortOpt
A portfolio-optimizer using Markowitz(1952) mean-variance model
PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference. It returns the vector of assets' shares that composes the optimal portfolio. ... -
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myopentrader
Open-source complex-event based trading engine
...MOT is distributed under the GPL v3 License and is free to use for everyone without warranty. MyOpenTrader.org is not responsible for any of your trading losses and can not be held accountable. Use the framework at your OWN risk. MOT is written purely in Java (1.6++) and has dependencies on a DB as well as a MQ Broker (such as ActiveMQ). -
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Trad4 is a fully concurrent, thread safe, graph-based programming language that scales linearly on multiple cores. It is initially intended for deployment in the financial industry to model real-time risk.
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CreditAnalytics
Full featured financial fixed-income, credit, and bond analytics/risk
CreditAnalytics is a full-featured financial fixed income credit analytics, trading, and risk library, developed with a special focus towards the needs of the credit products community. In particular, CreditAnalytics provides analytics to value liquid products (CDS, CDX, CDO, and bonds of all types and variants) and semi-liquid/custom products (single credit forwards and options, and portfolio credit forwards, options, tranches, and other structures). -
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Trading system written in Python including Quotes Management, Historical and live data, Import/Export data, Charting, Candlestick, Technical analysis, automated alerts, portfolio management, risk management, currency exchange, and much much more ...
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GeniusTrader
GeniusTrader is a stock market trading systems toolkit
GeniusTrader aims to be a full featured toolbox for creating stock market trading systems based on Technical-Analysis methods. GeniusTrader implements trading systems defined in terms of: specific entry-exit points, current cash, current positions, trade type and most traditional technical analysis indicators. Market data time-periods range from ticks to years. Backtesting defined trading systems as well as tools to develop and test technical market indicators are provided. Visit... -
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Quantifa is an F# open-source library for quantitative finance and risk management. Quantifa can be viewed as a functional programming version of QuantLib and QLNet. Currently, the Quantifa Team is looking for developers.
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Risk Quantify aims to provide a comprehensive framework for the trading, risk analysis and back office management of financial derivatives. Initially the system will support FX, Interest Rate and Equity-based products.
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Risk IDS is open source fraud prevention software that provides real time and batch data matching for application and transaction data. DOWNLOAD ONLY AT www.RiskIDS.com to ensure your are registered for updates. Info@RiskIDS.com
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DerivaQuant aims at creating a robust derivatives risk-analysis software for hedge funds and proprietary trading firms. It offers a variety of option pricing models, links with databases, real-time risk analysis and porfolio risk analysis.
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iShare 2004 is a Financial Management Package. It presently contains three programs, iShare Monitoring for stock portfolio monitoring, iShareRisk for Investment Risk Management, and iShare Financial Freedom for managing your Financial Freedom Number.
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A free, open source PHP-MySQL based risk register system with the focus on risk tracking and reporting. Developed in PHP, MySQL and JQuery. A web based project management tool that lists all the identified risks and the results of your analysis.
