Search Results for "c# stock market"
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Showing 359 open source projects for "c# stock market"
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Intelligent stock analysis system
LLM-driven A/H/US stock intelligent analyzer
Intelligent stock analysis system is a Python-based smart stock analysis system that leverages large language models to automatically analyze selected equities across A-shares, Hong Kong stocks, and U.S. markets. It’s designed to produce a daily “decision dashboard” summarizing key insights such as core conclusions, precise entry/exit points, and checklists for potential trades, combining multi-dimensional technical analysis, market sentiment, chip distribution, and real-time price data. ... -
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Yahoo! Finance market data downloader
Yahoo! Finance market data downloader
Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop working. yfinance aims to solve this problem by offering a reliable, threaded, and Pythonic way to download historical market data from Yahoo! finance. yfinance aimed to offer a temporary fix to the problem by scraping the data from Yahoo! Finance and returning a the data in the same format as pandas_datareader's get_data_yahoo(), thus keeping the code changes in existing software to a... -
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Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM
...This makes them extremely useful for predicting stock prices. Predicting stock prices is a complex task, as it is influenced by various factors such as market trends, political events, and economic indicators. The fluctuations in stock prices are driven by the forces of supply and demand, which can be unpredictable at times. To identify patterns and trends in stock prices, deep learning techniques can be used for machine learning. -
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Fishing Funds
Fund, big market, stock, virtual currency status bar display for apps
Display real-time trends of Chinese funds in the menubar. Fund, big market, stock, virtual currency status bar displays small applications, developed based on Electron, supports MacOS, Windows, Linux clients, data sources come from Tiantian Fund, Ant Fund, Love Fund, Tencent Securities, Sina Fund, etc. This project refers to electron-react-boilerplate-menubar, which is developed based on Electron React Boilerplate and menubar. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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openctp
Provides CTP stock options and Zhongtai Securities XTP
openctp is a technical service platform built around the CTP trading ecosystem that provides CTP compatible interfaces for a wide range of brokerage backends and markets. Its core idea is to wrap heterogeneous stock and derivatives trading gateways such as Zhongtai XTP, Huaxin Qidian TORA, and others with CTPAPI compatible interfaces, so existing CTP programs can connect simply by swapping dynamic libraries rather than rewriting code. The project offers a comprehensive simulation environment... -
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AI Hedge Fund
An AI Hedge Fund Team
...It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. 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. ... -
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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... -
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MarketData.jl
Time series market data
The MarketData package provides open-source financial data for research and testing. The data is from Quandl and is free end-of-day stock data. It is public domain without restrictions. The TimeSeries TimeArray data structure is used to store the data, but conversion to other data structures, including DataFrames and AxisArrays, is supported. -
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hekate
A GUI based Nintendo Switch Bootloader
hekate is a custom graphical bootloader for the Nintendo Switch that enables advanced system control, firmware patching, and multi-environment boot management for both official and custom operating systems. It functions as a powerful entry point for launching different firmware configurations, including stock firmware, custom firmware, Linux distributions, and Android builds, all from a unified interface. The bootloader features a touchscreen-enabled graphical user interface called Nyx,... -
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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ThetaGang
ThetaGang is an IBKR bot for collecting money
...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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Finance Database
This is a database of 300.000+ symbols containing Equities, ETFs, etc.
...It, therefore, allows you to obtain a broad overview of sectors, industries, types of investments and much more. The aim of this database is explicitly not to provide up-to-date fundamentals or stock data as those can be obtained with ease (with the help of this database) by using yfinance, FundamentalAnalysis or ThePassiveInvestor. -
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CCXT
JavaScript/TypeScript/Python/C#/PHP cryptocurrency trading API
The ccxt library is a collection of available crypto exchanges or exchange classes. Each class implements the public and private API for a particular crypto exchange. All exchanges are derived from the base Exchange class and share a set of common methods. To access a particular exchange from ccxt library you need to create an instance of corresponding exchange class. Supported exchanges are updated frequently and new exchanges are added regularly. -
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ccapi
A header-only C++ library for interacting with crypto exchanges
A header-only C++ library for streaming market data and executing trades directly from cryptocurrency exchanges (i.e. the connections are between your server and the exchange server without anything in-between). -
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Cosmopolitan
Build-once run-anywhere c library
Cosmopolitan Libc makes C a build-once run-anywhere language, like Java, except it doesn't need an interpreter or virtual machine. Instead, it reconfigures stock GCC and Clang to output a POSIX-approved polyglot format that runs natively on Linux + Mac + Windows + FreeBSD + OpenBSD + NetBSD + BIOS with the best possible performance and the tiniest footprint imaginable. -
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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, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. ... -
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XIVLauncher
Custom launcher for FFXIV
XIVLauncher (abbreviated as XL) is a faster launcher for our favorite critically acclaimed MMO, with various available add-ons and enhancements to the game. XIVLauncher now has a native Linux version that works on Steam Deck and Desktop Linux - no more messing around with scripts and command lines, just a few easy steps to install the game and add it to Steam, with a wine version especially tuned to XIV. -
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Orion
A machine learning library for detecting anomalies in signals
Orion is a machine-learning library built for unsupervised time series anomaly detection. Such signals are generated by a wide variety of systems, few examples include telemetry data generated by satellites, signals from wind turbines, and even stock market price tickers. We built this to provide one place where users can find the latest and greatest in machine learning and deep learning world including our own innovations. Abstract away from the users the nitty-gritty about preprocessing, finding the best pipeline, and postprocessing. We want to provide a systematic way to evaluate the latest and greatest machine learning methods via our benchmarking effort. ... -
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Krypto-trading-bot
Self-hosted crypto trading bot, automated high frequency market
K is a family of (very customizable) very low latency market-making trading bots with a fully featured web interface. It can place and cancel orders on one of the several compatible exchanges in less than a few milliseconds per order on a decent machine. If you don't want to configure or hardcode your own trading strategies in your own machine, you can run strategies from someone else at kryll.io (or at any other trading community out there). -
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Mongoose Embedded Web Server
An embedded web server
Mongoose is a networking library for C/C++. It implements event-driven non-blocking APIs for TCP, UDP, HTTP, WebSocket, MQTT. It is designed for connecting devices and bringing them online. On the market since 2004, used by vast number of open source and commercial products - it even runs on the International Space Station! Mongoose makes embedded network programming fast, robust, and easy. -
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The XRP Ledger
A decentralized cryptographic ledger
The XRP Ledger is an open source, decentralized and permissionless blockchain technology powered by a network of peer-to-peer servers. It allows for really fast settlement of transactions- within 3-5 seconds- without a central intermediary and in a secure distributed database. The native digital asset on the XRP Ledger is the XRP. A public,counterparty-free asset, it is designed to bridge many different currencies being used worldwide, and is available for anyone to access and trade on... -
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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. -
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Realm Swift
Realm is a mobile database: a replacement for Core Data & SQLite
Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. Build data-rich apps without draining device resources with Realm's lazy loading and zero-copy architecture. The object-oriented data model lets developers work directly with native objects – no ORMs or DAOs are needed. Real-time mobile to cloud data sync makes it easy to build interactive features that keep data up-to-date across multiple devices, users,... -
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EventStoreDB
The stream database optimised for event sourcing
Persist your application data as streams of events with our open-source database, the best data storage solution for event-sourced systems. Available for free download on most platforms or use our managed service Event Store Cloud. EventStoreDB is an open-source database technology that stores your critical data in streams of immutable events. It was built from the ground up for Event Sourcing, we believe that makes it the best solution in the market for building event-sourced systems. Event... -
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Real-time financial market data API, real-time forex data API, real-time stock data API, real-time cryptocurrency data API, real-time commodity data API service,real-time tick data,tick-by-tick quotes,data access solutions,real-time market quotes api,实时金融市场数据API,实时外汇数据API,实时股票数据API,实时加密货币数据API,实时商品数据API服务, 实时Tick数据, 逐笔报价, 数据接入解决方案,实时行情报价api,实时股票,实时美股,实时港股
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realm dotnet
Realm is a mobile database: a replacement for SQLite & ORMs
Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. Build data-rich apps without draining device resources with Realm's lazy loading and zero-copy architecture. The object-oriented data model lets developers work directly with native objects – no ORMs or DAOs are needed. Real-time mobile to cloud data sync makes it easy to build interactive features that keep data up-to-date across multiple devices, users,...
