This project is an automated cryptocurrency trading platform for the Binance exchange. It functions as a technical analysis trading tool and grid trader, executing strategies and managing assets without manual intervention. The platform is distinguished by its multi-service containerized architecture, which orchestrates a listener, cache, and database. It utilizes a secure web dashboard for monitoring active trades and adjusting bot parameters, protected by password and token-based authentication. The system covers a broad range of trading capabilities, including grid and trailing order auto
Hikyuu is a quantitative trading framework designed for developing, backtesting, and executing systematic trading strategies. It functions as a high-speed system that combines a financial time-series library, a multi-factor analysis tool, and a quantitative backtesting engine to support comprehensive trading research. The framework is distinguished by its high-speed computing core, which utilizes multi-threaded execution to process large volumes of market data for technical indicator generation. It supports a modular strategy composition model where signal, risk, and fund management component
Jesse is a Python algorithmic trading framework used for developing, backtesting, and executing quantitative trading strategies. It functions as a trading strategy backtester and a machine learning trading platform, providing an environment to train predictive models on historical market data and deploy them into live strategies. The framework features a standardized crypto exchange connectivity layer that allows for the execution of automated spot and futures trades across multiple cryptocurrency exchanges via an exchange-agnostic interface. It includes a quantitative risk analysis toolset t
This project is an automated trading platform designed for the Solana blockchain, providing a framework for executing buy and sell orders across decentralized exchange liquidity pools. It functions as a programmable strategy runner that monitors real-time market data to trigger trades based on user-defined parameters. The system distinguishes itself through specialized utilities for rapid liquidity pool sniping, which allows for early entry into new assets as they become available. It incorporates risk-aware asset filtering that evaluates token metadata and security criteria at runtime, ensur
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,…
Las características principales de drakkar-software/octobot son: LLM Trading Integrations, AI Trading Insight Generators, AI Trading Strategy Automation, Virtual Trade Execution, Automated Trading Bots, API Key Account Links, Grid Trading Strategies, Automated Trading Execution.
Las alternativas de código abierto para drakkar-software/octobot incluyen: chrisleekr/binance-trading-bot — This project is an automated cryptocurrency trading platform for the Binance exchange. It functions as a technical… fasiondog/hikyuu — Hikyuu is a quantitative trading framework designed for developing, backtesting, and executing systematic trading… jesse-ai/jesse — Jesse is a Python algorithmic trading framework used for developing, backtesting, and executing quantitative trading… warp-id/solana-trading-bot — This project is an automated trading platform designed for the Solana blockchain, providing a framework for executing… shidenggui/easytrader — Easytrader is a quantitative trading automation framework and brokerage API wrapper designed to programmatically… ricequant/rqalpha — RQAlpha is a Python-native quantitative trading backtesting framework and live trading execution system. It provides…