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Changelog

All notable changes to StreamForge will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Unreleased

Planned

  • Additional exchange integrations
  • Enhanced error handling and retry mechanisms
  • Comprehensive test suite
  • Performance optimizations
  • Scheduling for API and Websockets
  • Calculation Engine Module

0.1.3 - 2026-02-18

Added

  • Bybit exchange integration with full support for:
  • Real-time WebSocket streaming (kline/OHLC data)
  • Historical backfilling via REST API
  • Support for multiple market types: Spot, Linear (USDT/USDC perpetuals), and Inverse futures
  • BybitBackfilling class for historical data retrieval
  • Unified rate limiting for all Bybit market types (shared endpoint)

Technical Details

  • API-only backfilling approach (no CSV downloads available)
  • Maximum 1000 candles per API request
  • Rate limit: 500 requests per 5 seconds (conservative limit)
  • Support for all Bybit timeframes: 1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, 1d, 1w, 1M

Fixes

  • Okx backfilling fix

0.1.2 - 2026-02-04

  • Added Binance futures support (klines)
  • Small fixes for okx
  • Fix on duplicated log
  • Small changes in examples

0.1.1 - 2026-01-20

Fixed

  • Backfilling for binance failing when a transformer was not set.
  • Added standard behavior, now it backfills correctly from CSV

0.1.0 - 2025-01-06

Added

  • Initial release of StreamForge
  • Real-time WebSocket data ingestion from multiple exchanges:
  • Binance integration with kline/OHLC support
  • Kraken integration with OHLC support
  • OKX integration with candlestick support
  • Multiple data output formats:
  • CSV file output
  • PostgreSQL database integration
  • Kafka streaming support
  • Data processing features:
  • OHLC/Kline data normalization
  • Timeframe aggregation
  • Data buffering and processing
  • Base framework for exchange integrations:
  • Abstract base classes for WebSocket handlers
  • Data processor architecture
  • Emitter pattern for output handling
  • Stream input configuration
  • Cross-platform compatibility (Windows, Linux, macOS)
  • Async/await architecture for high performance
  • Type hints and Pydantic models for data validation

Infrastructure

  • Modern Python packaging with pyproject.toml
  • Comprehensive .gitignore
  • MIT License
  • Professional README and documentation
  • Installation guide