6 个仓库
Tools for retrieving physical commodity market statistics, warehouse inventory reports, and regional price adjustments.
Distinct from Inventory Tracking: Distinct from Warehouse Inventory Systems: focuses on public market-wide commodity data retrieval rather than internal enterprise inventory management.
Explore 6 awesome GitHub repositories matching data & databases · Commodity Market Data. Refine with filters or upvote what's useful.
This project is a Python library designed for the programmatic retrieval and analysis of diverse financial datasets. It functions as a comprehensive toolkit for quantitative research, providing a unified interface to fetch historical and real-time market data across asset classes including equities, futures, bonds, cryptocurrencies, and foreign exchange. By abstracting complex network requests into simple, parameter-driven functions, it enables users to integrate financial data into research workflows and automated trading systems. The library distinguishes itself through its scraper-based ag
Fetches daily warehouse receipt and inventory reports from major exchanges to track physical commodity supply changes and assess market availability.
Manages multiple acquisition lots per commodity with separate cost bases and dates for capital gains on partial sales.
Beancount is a plain-text double-entry accounting system. It enforces zero-sum transactions, organizes accounts into a hierarchical five-type tree, and verifies balances at specific dates using precision-derived tolerances. Transactions are recorded in plain-text files with a strict syntax that supports currency-specific rounding, automatic interpolation of missing amounts, and comprehensive metadata including tags, links, and payee annotations. Beyond core bookkeeping, Beancount offers investment portfolio tracking with lot-based cost basis management, configurable booking strategies (FIFO,
Ledger enforces lot matching for cost basis to detect errors and calculate capital gains on sales.
The FinanceToolkit is an open-source Python library for quantitative finance that provides a unified framework for financial analysis, asset valuation, and risk management. It serves as a comprehensive platform for computing over 200 financial metrics and ratios, with capabilities spanning financial ratio analysis, fixed income analytics, macroeconomic data aggregation, options pricing, and portfolio risk management. The toolkit distinguishes itself through a modular architecture that separates data retrieval from computation, with stateless engines for financial models like Black-Scholes, GA
Retrieves current and historical prices for commodities like gold, oil, and agricultural goods.
hledger is a plain text accounting tool and double-entry ledger manager that stores financial transactions in human-readable text files. It functions as a financial reporting engine for generating balance sheets and income statements, and as a multi-currency investment tracker for managing commodity lots and capital gains. The project distinguishes itself by providing multi-interface data access, allowing users to interact with their financial data via a command line interface, a terminal user interface, and a web server. It features a market-price valuation system to calculate the current va
Tracks individual asset acquisition lots and validates their cost basis against transacted costs.
Rotki 是一个本地优先的财务管理套件,专为加密货币投资组合跟踪、税务会计和去中心化金融 (DeFi) 分析而设计。它作为一个自托管应用程序,将所有财务记录、交易历史和用户凭据安全地存储在加密的本地数据库中,确保敏感数据完全处于用户控制之下。 该平台凭借保护隐私的架构脱颖而出,消除了对中心化云存储或第三方数据提供商的依赖。用户通过配置自定义远程过程调用 (RPC) 端点进行区块链查询,并利用只读 API 集成进行交易所数据同步,从而保持对连接的完全控制。此外,该应用程序采用零知识数据同步方法,允许用户在多台设备间安全备份和访问其财务记录,而无需暴露私有信息。 除了核心存储和连接模型外,该软件还具有一个模块化会计引擎,通过将用户选择的成本基础方法应用于聚合数据来计算盈亏和税务指标。它包括专门的解析逻辑,将原始区块链活动转换为人类可读的事件,涵盖复杂的去中心化金融交互,如流动性提供、借贷头寸和流动性挖矿。该系统还提供全面的可视化工具,以呈现历史趋势、资产分配和净值演变。
Provides tools to aggregate exchange activity and compute cost basis for capital gains and performance reporting.