Search Results for "historical data eod"
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Showing 263 open source projects for "historical data eod"
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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 minimum. ... -
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SmokePing
The Active Monitoring System
SmokePing is a latency monitoring tool that measures, visualizes, and alerts on network latency using configurable probes such as ping, fping, or HTTP checks. Developed by Tobi Oetiker, it provides detailed, historical graphs of network performance, making it ideal for diagnosing intermittent issues or verifying SLAs. It uses RRDtool for data storage and graphing. -
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beszel
Lightweight server monitoring hub with historical data, docker stats
A lightweight server resource monitoring hub with historical data, docker stats, and alerts. -
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dxy-covid-19-crawler
Realtime crawler for COVID-19 outbreak statistics from DXY data
DXY-COVID-19-Crawler is a Python-based project designed to collect real-time COVID-19 infection data from the public dataset provided by Ding Xiang Yuan (DXY). The crawler periodically retrieves pandemic statistics and stores them in a database so that historical changes in the outbreak can be preserved and analyzed later. It was created to make up-to-date infection data more accessible for developers, researchers, and analysts who wanted to build visualizations or conduct data analysis during the early stages of the pandemic. ... -
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Thanos
Highly available Prometheus setup with long term storage capabilities
...Extend the system with the object storage of your choice to store your metrics for an unlimited time. Supports GCP, S3, Azure, Swift and Tencent COS. Use the same tools you love, such as Grafana and others, that support the Prometheus Query API. Downsample historical data for massive query speedup when querying large time ranges or configure complex retention policies. Thanos leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly. -
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Frankfurter
Currency data API
Frankfurter is an open-source currency exchange rate API that provides reliable financial data based on reference rates from institutional sources such as the European Central Bank. It is designed to be simple, transparent, and free to use, with no API key requirements or usage limits, making it particularly attractive for developers and small projects. The API offers endpoints for retrieving the latest exchange rates, historical data, and time-series data, enabling both basic conversions and more advanced financial analysis. ... -
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OSRS .json Hiscores
The Oldschool Runescape API wrapper that does more
OSRS .json Hiscores is a server-side API wrapper designed to transform Old School RuneScape hiscores data into structured and developer-friendly JSON objects, addressing limitations in the official API’s output formats. The official API typically returns CSV or basic arrays, which can be difficult to work with, so this project restructures the data into meaningful objects that include player stats, rankings, and inferred metadata. It also adds additional logic to determine player game modes, including historical transitions such as de-ironing or hardcore status changes. ... -
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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. ... -
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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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Trafexia
Mobile Traffic Interceptor
Trafexia is a lightweight web application designed to visualize real-time and historical transportation data, such as traffic flows, transit schedules, or route usage, with clean dashboards and map overlays that help users and analysts interpret mobility patterns quickly. It integrates data streams from APIs, CSV feeds, or sensor inputs and processes them into intuitive visualizations including flow diagrams, heatmaps, time series charts, and route performance boards. ... -
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Global Threat & Event Intelligence Map
Interactive map for exploring global conflicts & geopolitical threats
GlobalThreatMap is an open source web application designed to visualize geopolitical events, conflicts, and military activity around the world on an interactive map. It helps users explore ongoing wars, international tensions, military base locations, and historical conflict data across different countries. It aggregates and processes global event information and presents it geographically so users can quickly understand where significant geopolitical developments are occurring. GlobalThreatMap is built to assist researchers, analysts, and curious users who want a clearer view of global security dynamics. ... -
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jackson-core
Core part of Jackson that defines Streaming API
This project contains core low-level incremental ("streaming") parser and generator abstractions used by Jackson Data Processor. It also includes the default implementation of handler types (parser, generator) that handle JSON format. The core abstractions are not JSON specific, although naming does contain 'JSON' in many places, due to historical reasons. Only packages that specifically contain the word 'json' are JSON-specific. This package is the base on which Jackson's data-binding package builds on. ... -
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Perspective
A data visualization and analytics component
Perspective is a high-performance data visualization library for building real-time, interactive analytics dashboards. Developed by FINOS, it supports WebAssembly-powered pivot tables and can handle large streaming datasets with speed and flexibility. Perspective is ideal for fintech, trading, and IoT applications where insights from live data need to be visualized, sliced, and explored quickly in a browser. -
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Portfolio Performance
Track and evaluate the performance of your investment portfolio
Portfolio Performance: Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets. Performance indicators like that True-Time Weighted Rate of Return or the internal rate of return ( Internal rate of return ) are calculated. Historical courses are automatically run by Yahoo Finance loaded or can be extracted from any HTML pages. Due to the open file format, all data is available as XML available or can be used as CSV be exported. Support for Rebalancing based on freely definable Asset allocations. With the help of the historical exchange rates of the European Central Bank ( ECB ) accounts and shares can be held in foreign currency. -
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Swap
Currency exchange rates library
Swap is a PHP library designed to retrieve and manage currency exchange rates from multiple providers through a unified and extensible interface. It acts as an abstraction layer over various exchange rate APIs such as Fixer, currencylayer, and European Central Bank data sources, allowing developers to switch providers or combine them without changing application logic. The library supports both real-time and historical exchange rates, making it suitable for financial applications that require accurate and time-sensitive data. One of its key strengths is its ability to define fallback providers, ensuring reliability even if a primary data source fails. ... -
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NBA Sports Betting Machine Learning
NBA sports betting using machine learning
NBA-Machine-Learning-Sports-Betting is an open-source Python project that applies machine learning techniques to predict outcomes of National Basketball Association games for analytical and betting-related research. The system gathers historical team statistics and game data spanning multiple seasons, beginning with the 2007–2008 NBA season and continuing through the present. Using this dataset, the project constructs matchup features that represent team performance trends and contextual information about each game. Machine learning models are then trained to estimate the probability that a team will win a game as well as whether the total score will fall above or below the sportsbook’s predicted total. ... -
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Open MCT
A web based mission control framework
...While Open MCT is developed to support space missions, its core concepts are not unique to that domain. It can display streaming and historical data, imagery, timelines, procedures, and other data visualizations, all in one place. Open MCT is currently used to support distributed spacecraft operations across multiple locations. NASA itself has many missions currently using Open MCT as well as "VISTA", which is a multi-mission operations system built with Open MCT. -
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Metarank
A low code Machine Learning service that personalizes articles
...It’s often considered "too risky" to spend 6+ months on an in-house moonshot project to reinvent the wheel without an experienced team and no existing open-source tools. Metarank makes it easy not only for Amazon to do personalization but for everyone else. Ingest historical item listings, clicks and item metadata so Metarank can find hidden dependencies in the data using our simple JSON format.No Machine Learning experience is required, run our CLI tool with a set of features in a YAML configuration. Run Metarank API service, feed it with real-time events and receive a personalized ranking for your items that will boost conversion, click-through rate or any other business-critical metric you define. -
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cgm-remote-monitor
Nightscout web monitor
Nightscout’s cgm-remote-monitor is a real-time web application for DIY diabetes management. It connects with CGM devices like Dexcom, Medtronic, and Libre, pulls glucose readings, and visualizes them on a browser-based dashboard, accessible from phones, watches, or IV bags. The system supports trend alerts, historical graphs, and community plug-ins for remote patient monitoring, educational use, and family connectivity. -
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AI Hedge Fund
An AI Hedge Fund Team
This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. 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... -
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LakeSoul
An end-to-end, realtime and cloud native Lakehouse framework
LakeSoul is a high-performance, unified table storage framework for big data lakes, supporting both streaming and batch data in a single format. Built on top of Apache Spark and leveraging Apache Arrow and Parquet, LakeSoul provides ACID transactions, schema evolution, and time travel. It is designed for large-scale data lake architectures that require consistency, efficiency, and easy integration with modern data stacks. -
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Freqtrade
Free, open source crypto trading bot
...Do not hesitate to read the source code and understand the mechanisms of this bot, algorithms, and techniques implemented in it. Write your strategy in python, using pandas. 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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city-roads
Visualization of all roads within any city
city-roads is a data visualization and mapping project that renders street networks of cities as vector paths, offering an interactive, zoomable experience that highlights how cities are stitched together by their road infrastructure. It typically fetches open map data (such as from OpenStreetMap) and then processes that data into geometry suited for rendering in the browser, allowing users to explore intricate road layouts at various scales. -
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WhatsApp Beacon
OSINT tool for tracking WhatsApp online status via Web automation
...It uses Selenium automation to interact with the web interface and detect when a target account goes online or offline. By continuously monitoring these changes, WhatsApp Beacon records connectivity patterns and builds a historical dataset of activity sessions. The collected information is stored in logs and a local database, allowing users to review behavioral patterns over time. In addition, the project supports exporting collected data to spreadsheet formats for further analysis or reporting. WhatsApp Beacon is designed to run across multiple operating systems and can operate in the background using headless browser automation. ... -
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NautilusTrader
A high-performance algorithmic trading platform
NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. 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. ...
