Search Results for "research"
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Showing 74 open source projects for "research"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Qbot
AI-powered Quantitative Investment Research Platform
Qbot is an open source quantitative research and trading platform that provides a full pipeline from data ingestion and strategy development to backtesting, simulation, and (optionally) live trading. It bundles a lightweight GUI client (built with wxPython) and a modular backend so researchers can iterate on strategies, run batch backtests, and validate ideas in a near-real simulated environment that models latency and slippage. -
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Dexter
An autonomous agent for deep financial research
...This means it's more than a simple script — it’s a research assistant that loops through analysis steps until convergence. -
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OpenBB Terminal
Investment research for everyone, anywhere
Fully written in python which is one of the most used programming languages due to its simplified syntax and shallow learning curve. It is the first time in history that users, regardless of their background, can so easily add features to an investment research platform. The MIT Open Source license allows any user to fork the project to either add features to the broader community or create their own customized terminal version. The terminal allows for users to import their own proprietary datasets to use on our econometric menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. ... -
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Claude for Financial Services
Reference agents, skills, and data for the financial-services
...Its architecture emphasizes modularity, enabling firms to customize workflows and extend functionality for proprietary use cases. Overall, the project serves as a foundation for building AI-enhanced financial research and decision-support systems. -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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Kalshi Trading Bot CLI
AI-native CLI for trading Kalshi prediction markets
Kalshi Trading Bot CLI is an AI-driven command-line tool designed to automate trading strategies on Kalshi prediction markets by combining quantitative modeling with real-time market data. 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. ... -
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ValueCell
Community-driven, multi-agent platform for financial applications
ValueCell is a community-driven multi-agent AI platform focused on financial research, analysis, and decision-making that lets users leverage multiple specialized AI agents for tasks like data retrieval, investment research, strategy execution, and market tracking. The system brings together a suite of collaborative agents—such as research agents that gather and interpret fundamentals, strategy agents that implement trading logic, and news agents that deliver personalized updates—to help users make more informed financial decisions across stocks, crypto, and other markets. ... -
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QuantDinger
AI-driven, local-first quantitative trading platform for research
QuantDinger is a local-first, open-source quantitative trading platform designed to bring AI-assisted analysis, strategy development, backtesting, and live execution into a self-hosted workspace where data and API credentials remain under your control. Unlike cloud-locked quant services, it lets users run the entire trading workflow on their own infrastructure using Docker, with a PostgreSQL database backend, a Python backend API, and a web frontend UI that supports visualization and... -
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Qlib
Qlib is an AI-oriented quantitative investment platform
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib. With Qlib, users can easily try their ideas to create better Quant investment strategies. At the module level, Qlib is a platform that consists of above components. ... -
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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. -
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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Fincept Terminal
FinceptTerminal is a modern finance application
Fincept Terminal is an open-source financial intelligence platform aimed at bringing powerful market analysis and investment research tools to a broad audience without the prohibitive cost of proprietary terminals. The project provides both command-line and graphical interfaces that let users access real-time market data, economic indicators, and advanced analytics directly from a unified terminal environment, supporting stocks, forex, commodities, and more. Its architecture integrates Python, TypeScript, Rust, and React, reflecting both a robust data processing backend and a modern desktop UI experience. ... -
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AI Hedge Fund
An AI Hedge Fund Team
...Its structure is educational: intended more as a proof-of-concept than a ready-to-use financial product, giving learners insight into the mechanics of quantitative finance automation. The project underlines AI’s potential in investment strategies but also carries disclaimers that it is for research and not financial advice. The implementation is designed so developers can study the pipeline end-to-end: from data ingestion through modeling to simulated portfolio management. -
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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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DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models
DSGE.jl is a Julia package developed by the Federal Reserve Bank of New York for estimating and analyzing dynamic stochastic general equilibrium (DSGE) models. It provides tools for Bayesian estimation, filtering, forecasting, and model comparison, supporting both academic research and policy applications. DSGE.jl includes pre-configured models used by central banks and offers extensibility for custom macroeconomic modeling. -
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NautilusTrader
A high-performance algorithmic trading platform
...The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. This helps to address the parity challenge of keeping the Python research/backtest environment, consistent with the production live trading environment. NautilusTraders design, architecture and implementation philosophy holds software correctness and safety at the highest level, with the aim of supporting Python native, mission-critical, trading system backtesting and live deployment workloads. -
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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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PyTorch Forecasting
Time series forecasting with PyTorch
PyTorch Forecasting aims to ease state-of-the-art time series forecasting with neural networks for both real-world cases and research alike. The goal is to provide a high-level API with maximum flexibility for professionals and reasonable defaults for beginners. A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along with logging in tensorboard and generic visualizations such actual vs predictions and dependency plots. ... -
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Ahp Software Created by : Mohamed Ali Khaskia Egypt - 2016 AHP Khaskia official version is a professional AHP AHP software. AHP Khaskia official version is powerful, convenient and easy to use. It supports the solution of AHP problems in decision-making and operational research, and automatically processes calculation results for you 1. AHP Khaskia has less analysis functions, so the operation is simple 2. A variety of decision analysis modes can be established in the first interface 3. Analysis can be performed on different targets in the calculation interface 4. It also supports the analysis of different criteria 5. ...
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Krishnamurti's Book of Life D.Thoughts
Jiddu Krishnamurti's Book of Life|Libro de la Vida
FREE distribution of the JAVA-XML multiplatform e-book about Jiddu Krishnamurti's Book of Life (a witty daily cookie-like reflection). Ahora, lea diariamente los pensamientos de Krishnamurti en castellano- Obtenga una agenda gratis. -
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ThinkValue
Analyze stocks clearly without spending hours modeling
...Build single or multi-stage valuations, run reverse DCFs, and test scenarios with sensitivity analysis. Use structured SEC financials via a free API, generate automated spreadsheets, and access research and KPIs on the web platform. Start free with no login or upgrade for versioned API access and integration support. -
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hangzhou_house_knowledge
Sharing the knowledge of buy an own house
hangzhou_house_knowledge is a public knowledge repository about buying property in Hangzhou, China. It is not a software application, but a structured guide based on the author’s 2017 home-buying experience. The project organizes information about Hangzhou districts, housing concepts, property channels, metro planning, redevelopment, land auctions, school districts, facilities, regional planning, and real estate reports. It combines practical explanations with maps, images, policy... -
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QNE Accounting Software
QNE: Accounting Payroll Software System Malaysia
...Since QNE (formally known as OneStop Software Solutions (M) Sdn Bhd) was formed on 15 August 2001 under the Companies Act 1965, QNE’s is known for its strong commitment to research and development. As a result, QNE was awarded the MSC Pioneer Status in April 2005. With a strong commitment to research and development, QNE is able to provide users with new applications and features that help the users to meet the challenging and demanding business environment. QNE is also dedicated to participate actively in MSC and share the vision towards a K-economy in the year 2020. ... -
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oj! Algorithms
Mathematics, linear algebra and optimisation
oj! Algorithms - ojAlgo - is Open Source Java code that has to do with mathematics, linear algebra and optimisation; particularly (but certainly not exclusively) suitable for the financial domain. -
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"Circular Multilateral Barter" (CMB) is aimed at supplying entrepreneurs with a way to exchange goods and services within a p2p-network, without using money, overcoming the "double coincidence of wants" problem, inherent to traditional barter. Most importantly, CMB allows traders to issue their own currencies (called "products"), which others can redeem, trade, or make payments with. One thing that distinguishes CMB from other "credit commons" is that all debts in CMB are user-to-user...
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FiMaLib
a financial math library and financial market data database
This project should combine a financial mathematics library with an underlying financial market database (and a set of other tools), which could be used by financial institutions for their financial market data needs as well as by students for research works. -
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Econball
Equation of stock trading simplified to game of moving resizing balls
The econ theory is the value of buy and sell are usually equal, at whatever free market price at the time, so if we trade between 2 things, holding the total of those 2 equal eachother, then you can buy without anyone selling, or sell without anyone buying. Just change from one equal valued type to the other, and the total of all the A's and all the B's are scaled instantly to be the same amounts. Those who change to the majority side lose, and those who change to the minority side win,...
