This project is a high-performance C++ trading engine designed for automated cryptocurrency market making and high-frequency trading. It functions as a liquidity provision tool that executes rapid order adjustments and quote placements to capture the bid-ask spread.
Principalele funcționalități ale ctubio/krypto-trading-bot sunt: Automated Market Making Systems, Liquidity Provision Systems, High Frequency Trading, Inventory Imbalance Guards, Algorithmic Quote Placement, Order Modification and Replacement, High-Frequency Trading Infrastructure, Fair Value Models.
Alternativele open-source pentru ctubio/krypto-trading-bot includ: michaelgrosner/tribeca — Tribeca is a Node.js cryptocurrency trading platform designed for high-frequency trading and automated market making.… shinnytech/tqsdk-python — tqsdk-python is a quantitative trading SDK and framework designed for developing automated strategies for futures,… chrisleekr/binance-trading-bot — This project is an automated cryptocurrency trading platform for the Binance exchange. It functions as a technical… jesse-ai/jesse — Jesse is a Python algorithmic trading framework used for developing, backtesting, and executing quantitative trading… binance/binance-spot-api-docs — This project provides technical documentation and reference guides for spot trading, including specifications for… wondertrader/wondertrader.
Tribeca is a Node.js cryptocurrency trading platform designed for high-frequency trading and automated market making. It functions as a low-latency execution engine that automates the process of providing liquidity and capturing price spreads across multiple cryptocurrency exchanges. The system employs a connectivity layer to stream real-time market data and execute trades via persistent network connections. It uses an adapter-based integration to normalize diverse venue APIs into a unified format, allowing for coordinated activity across several different cryptocurrency venues. The platform
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
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
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