2 个仓库
Tools for aligning and combining data streams of varying granularities.
Distinct from Streaming Data Processing: Distinct from Streaming Data Processing: focuses on the synchronization of multiple time-series granularities rather than general stream transformation.
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Backtrader is a Python framework designed for the development, backtesting, and live execution of algorithmic trading strategies. It provides a comprehensive environment for quantitative finance, allowing users to simulate trading logic against historical market data or connect directly to brokerage platforms for automated real-time trading. The project distinguishes itself through a unified event-driven architecture that treats backtesting and live trading with the same API. This consistency is supported by a flexible data-feed abstraction layer that normalizes diverse financial sources, ena
Synchronizes data streams of varying granularities to evaluate long-term trends alongside short-term price movements.
StockSharp is an algorithmic trading platform and quantitative framework used for developing and deploying trading robots across stock, forex, and cryptocurrency markets. It functions as a multi-asset trading gateway and a dedicated development environment for building, debugging, and scheduling automated strategies. The platform includes a visual strategy workflow editor that maps logic blocks to executable code and a simulation engine that replays historical tick data to validate trading logic. It utilizes a plugin-based broker integration system to normalize diverse exchange protocols into
Provides a synchronization engine to aggregate raw tick data into customizable candle intervals for technical analysis.