tqsdk-python is a quantitative trading SDK and framework designed for developing automated strategies for futures, options, and stocks using Python. It functions as an algorithmic trading engine and financial market data API, providing the tools necessary to backtest strategies, analyze historical data, and execute live trades across multiple brokerage accounts. The project distinguishes itself through a specialized option analytics library that calculates Greeks, implied volatility, and volatility surfaces using the Black-Scholes model. It further supports complex order execution patterns, s
OctoBot is an open-source automated trading platform that connects to over 15 cryptocurrency exchanges, enabling users to deploy grid, dollar-cost averaging, market-making, and AI-driven trading strategies. It functions as a unified multi-exchange trading platform, a TradingView alert executor, and a crypto trading bot, all within a single system. The platform is built on an event-driven trading loop with a plugin-based strategy engine, an exchange-agnostic connector layer, and a cloud-synced profile store for multi-device consistency. What distinguishes OctoBot is its integration of large la
Kungfu is a high-performance quantitative trading framework and algorithmic execution engine. It provides a development kit for writing trading logic and a dedicated in-memory financial time-series database for recording and analyzing tick-by-tick market data with high temporal accuracy. The system integrates a market gateway layer to interface with stock and futures exchange protocols, enabling the routing of orders and receipt of price updates. It features a trading operations interface that allows for the management of strategies in both manual and automated headless modes. The framework
RQAlpha is a Python-native quantitative trading backtesting framework and live trading execution system. It provides an event-driven engine for simulating trading strategies against historical market data, with realistic transaction costs, slippage models, and corporate action handling. The platform supports multi-asset class trading including stocks, futures, options, and REITs, with separate sub-accounts for different asset types and configurable margin requirements. The framework distinguishes itself through a plugin-based extensible architecture that allows users to swap out core componen
This project is a futures algorithmic trading system designed to execute high-performance trading strategies through direct API integrations and low-latency message routing. It features a strategy execution engine that automates order placement and manages trade flows based on predefined logic and API triggers.
Die Hauptfunktionen von timercrack/trader sind: Trading Strategy Execution Engines, Futures Trading Engines, Trading APIs, Market Trading Integrations, Multi-Exchange Trading Connectors, Native API Bridges, Algorithmic Platforms, Algorithmic Order Executions.
Open-Source-Alternativen zu timercrack/trader sind unter anderem: shinnytech/tqsdk-python — tqsdk-python is a quantitative trading SDK and framework designed for developing automated strategies for futures,… drakkar-software/octobot — OctoBot is an open-source automated trading platform that connects to over 15 cryptocurrency exchanges, enabling users… kungfu-origin/kungfu — Kungfu is a high-performance quantitative trading framework and algorithmic execution engine. It provides a… ricequant/rqalpha — RQAlpha is a Python-native quantitative trading backtesting framework and live trading execution system. It provides… michaelgrosner/tribeca — Tribeca is a Node.js cryptocurrency trading platform designed for high-frequency trading and automated market making.… fasiondog/hikyuu — Hikyuu is a quantitative trading framework designed for developing, backtesting, and executing systematic trading…