Search Results for "hyper-quant"
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Showing 123 open source projects for "hyper-quant"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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. -
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hyper for Rust
An HTTP library for Rust
hyper is a fast HTTP implementation written in and for Rust. A Client for talking to web services. A Server for building those web services. Blazing fast thanks to Rust. High concurrency with non-blocking sockets. HTTP/1 and HTTP/2 support. hyper is a relatively low-level library, meant to be a building block for libraries and applications. -
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AIQuant
AI-powered platform for quantitative trading
ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models,... -
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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. The components are designed as loose-coupled modules and each component could be used stand-alone. -
Patching and Endpoint Management for Under $1/EndpointSplashtop AEM gives IT teams automated patching, monitoring, and unattended remote access for Windows and macOS. No long setup, no paying extra for key features.
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Axum
Ergonomic and modular web framework built with Tokio, Tower
Axum is a modern, ergonomic web framework for Rust built on top of Tokio, Hyper, and Tower. It emphasizes modularity, minimal boilerplate, and seamless middleware composition via Tower services. It uses declarative extractors for routing, strong async/await support, and integrates well with the Tokio async ecosystem. -
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tickflow-stock-panel
Self-hosted, zero-operation A-share quantitative workbench
tickflow-stock-panel is a self-hosted quantitative stock workstation for China A-share screening, monitoring, and backtesting. It is aimed at individual retail investors and quant hobbyists who want a local research dashboard rather than a closed commercial terminal. The project uses TickFlow as a data source but is not an official TickFlow product. Its modules include a stock screener, indicator pipeline, backtesting engine, monitoring center, single-stock analysis, concept analysis, industry analysis, and post-market review. ... -
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Static Web Server
A cross-platform, high-performance and asynchronous web server
Static Web Server (or SWS abbreviated) is a tiny and fast production-ready web server suitable to serve static web files or assets. It is focused on lightness and easy-to-use principles while keeping high performance and safety powered by The Rust Programming Language. Written on top of Hyper and Tokio runtime, it provides concurrent and asynchronous networking abilities and the latest HTTP/1 - HTTP/2 implementations. Cross-platform and available for Linux, macOS, Windows, FreeBSD, NetBSD, Android, Docker and Wasm (via Wasmer). -
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ArcticDB
ArcticDB is a high performance, serverless DataFrame database
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. Scale-out architecture and built-in compression ensure that networks and storage are utilized efficiently. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Rook
Storage Orchestration for Kubernetes
Rook turns distributed storage systems into self-managing, self-scaling, self-healing storage services. It automates the tasks of a storage administrator: deployment, bootstrapping, configuration, provisioning, scaling, upgrading, migration, disaster recovery, monitoring, and resource management. Rook orchestrates the Ceph storage solution, with a specialized Kubernetes Operator to automate management. Rook ensures that Ceph will run well on Kubernetes and simplify the deployment and... -
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
An open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. Search-as-you-type returns answers in less than 50 milliseconds. That's faster than the blink of an eye! Deploy in a matter of minutes. -
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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... -
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Hyper Auto Clicker
Seamless automation – speed, precision, and efficiency all in one
...Perfect for gamers, developers, or anyone who needs to automate repetitive actions, Hyper Auto Clicker offers unmatched reliability. With fully customizable settings, you can tailor it to your specific needs, making it more powerful and versatile than ever before. Say goodbye to the hassle of manual clicking and let Hyper Auto Clicker take your productivity to the next level! -
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My Home Operations Repository
Wife approved HomeOps driven by Kubernetes and GitOps using Flux
This is a mono repository for my home infrastructure and Kubernetes cluster. I try to adhere to Infrastructure as Code (IaC) and GitOps practices using tools like Ansible, Terraform, Kubernetes, Flux, Renovate, and GitHub Actions. -
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Apache CloudStack
Apache CloudStack is an opensource Infrastructure as a Service (IaaS)
...CloudStack is a turnkey solution that includes the entire "stack" of features most organizations want with an IaaS cloud: compute orchestration, Network-as-a-Service, user and account management, a full and open native API, resource accounting, and a first-class User Interface (UI). CloudStack currently supports the most popular hypervisors: VMware, KVM, Citrix XenServer, Xen Cloud Platform (XCP), Oracle VM server and Microsoft Hyper-V. Users can manage their cloud with an easy to use Web interface, command line tools, and/or a full-featured RESTful API. -
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Multipass
Multipass orchestrates virtual Ubuntu instances
Multipass is a lightweight VM manager for Linux, Windows and macOS. It's designed for developers who want a fresh Ubuntu environment with a single command. It uses KVM on Linux, Hyper-V on Windows and QEMU on macOS to run the VM with minimal overhead. It can also use VirtualBox on Windows and macOS. Multipass will fetch images for you and keep them up to date. Since it supports metadata for cloud-init, you can simulate a small cloud deployment on your laptop or workstation. -
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NetBox
The premiere source of truth powering network automation
NetBox is the leading solution for modeling and documenting modern networks. By combining the traditional disciplines of IP address management (IPAM) and datacenter infrastructure management (DCIM) with powerful APIs and extensions, NetBox provides the ideal "source of truth" to power network automation. Available as open source software under the Apache 2.0 license, NetBox is employed by thousands of organizations around the world. Netbox is written in Python and uses the Django web... -
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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 strategy management. Traders and researchers can develop custom strategies in Python, run historical backtests, analyze performance, and connect to supported exchanges for live trading, making it suitable for equities, crypto, forex, and futures markets in a local environment. ... -
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MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
...The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data, construct the machine learning models, and perform hyper-parameter tuning to find the best model. It is no black box, as you can see exactly how the ML pipeline is constructed (with a detailed Markdown report for each ML model). -
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zvt
Modular quant framework
For practical trading, a complex algorithm is fragile, a complex algorithm building on a complex facility is more fragile, complex algorithm building on a complex facility by a complex team is more and more fragile. zvt wants to provide a simple facility for building a straightforward algorithm. Technologies come and technologies go, but market insight is forever. Your world is built by core concepts inside you, so it’s you. zvt world is built by core concepts inside the market, so it’s zvt.... -
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SAHI
A lightweight vision library for performing large object detection
...Such objects are represented by small number of pixels in the image and lack sufficient details, making them difficult to detect using conventional detectors. In this work, an open-source framework called Slicing Aided Hyper Inference (SAHI) is proposed that provides a generic slicing aided inference and fine-tuning pipeline for small object detection. -
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VVV
An open source Vagrant configuration for developing with WordPress
...It works with virtualization software such as VirtualBox to provide a virtual machine sandboxed from your local environment. In addition to VirtualBox, provider support is also included for Parallels, Hyper-V, VMWare Fusion, and VMWare Workstation. -
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Futures-RS
Zero-cost asynchronous programming in Rust
futures-rs is a library providing the foundations for asynchronous programming in Rust. It includes key trait definitions like Stream, as well as utilities like join!, select!, and various futures combinator methods which enable expressive asynchronous control flow. Futures-rs works without the standard library, such as in bare metal environments. However, it has a significantly reduced API surface. -
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Freqtrade
Free, open source crypto trading bot
...Example strategies to inspire you are available in the strategy repository. Download historical data of the exchange and the markets you may want to trade with. Find the best parameters for your strategy using hyper optimization which employs machining learning methods. -
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StringZilla
10x faster string search, split, sort, and shuffle for long strings
StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets. StringZilla uses a heuristic so simple it's almost stupid... but it works. It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. ...
