Cryptofeed Ws Feedsv0.3.3

Aggregate real-time trade, ticker, order book, and funding data from multiple exchanges like Binance and HitBTC. Use async callback handlers to process updates and store them in ArcticDB for backtesting and analysis.

Leverage stored time-series data to compute factors, generate trading signals, and run backtests on A-share, HK, or crypto markets. The pipeline covers data collection, storage, factor computation, target selection, and execution.

Develop and test specific exchange features (ticker, trades, order book, candles) for exchanges sharing the same API such as Bequant and HitBTC. This helps validate feed reliability before deploying production strategies.

Store cryptocurrency market data into ArcticDB, a time-series database, enabling efficient retrieval for historical analysis and strategy development. Supports trade, funding, and ticker data with flexible query patterns.

Implement trading strategies across A-share, HK, and crypto markets using a unified pipeline. The skill provides data collection and storage, with semantic locks ensuring correct order execution and signal generation.

Offer a cloud-based platform that uses this skill to provide real-time crypto data feeds, backtesting, and strategy execution services to retail and institutional traders.

Use the skill to rapidly prototype and backtest custom quantitative strategies for hedge funds and prop trading firms. Deliver production-ready code and integration with existing infrastructure.

Sell access to cleansed, historical crypto market data stored in ArcticDB. Provide APIs for querying ticker, trade, order book, and funding data across multiple exchanges.