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Back to binance/binance-connector-python

Open-source alternatives to Binance Connector Python

30 open-source projects similar to binance/binance-connector-python, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Binance Connector Python alternative.

  • sammchardy/python-binanceAvatar de sammchardy

    sammchardy/python-binance

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    python-binance is a Python client library that provides programmatic access to the Binance cryptocurrency exchange through both REST and WebSocket APIs. It serves as a comprehensive toolkit for automated trading, account management, and market data retrieval, enabling developers to build trading bots, portfolio management tools, and data analysis applications that interact directly with the exchange. The library distinguishes itself through a dual-client architecture that separates synchronous REST calls from persistent WebSocket streams, allowing concurrent execution without blocking. It inc

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  • knowm/xchangeK

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    XChange is a cryptocurrency exchange integration library and API wrapper that provides a unified interface for connecting to multiple cryptocurrency exchanges. It serves as a multi-exchange trading interface and a market data streamer, normalizing raw data from various providers into standardized data objects. The project distinguishes itself through an adapter-based normalization system and a reactive WebSocket streaming model designed to receive real-time price and volume updates while minimizing thread usage. It includes a dedicated authentication handler for managing API keys, request non

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  • michaelgrosner/tribecaAvatar de michaelgrosner

    michaelgrosner/tribeca

    4,112Ver en GitHub↗

    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

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    pyalgotrade is a Python algorithmic trading library designed for developing, backtesting, and executing automated trading strategies. It provides a comprehensive framework for financial strategy backtesting, a technical analysis library for computing mathematical indicators, and connectors for cryptocurrency exchange integration. The project distinguishes itself by supporting sentiment-based trading through the integration of real-time social media feeds and keyword streams. It features a quantitative trading visualization tool for plotting price action and portfolio equity curves, along with

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  • binance/binance-spot-api-docsAvatar de binance

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    This project provides technical documentation and reference guides for spot trading, including specifications for REST, WebSocket, and FIX protocols. It serves as a comprehensive resource for integrating with spot trading endpoints to execute trades, query account data, and fetch market statistics. The project distinguishes itself by supporting institutional-grade connectivity through the Financial Information eXchange standard and simple binary encoding to reduce latency and payload size. It also includes a dedicated sandbox environment for validating trading logic and strategies without fin

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    Gekko is a Node.js trading platform and automated Bitcoin trading bot designed to execute buy and sell orders across multiple cryptocurrency exchanges. It functions as an algorithmic trading system that uses a standardized exchange integration gateway to connect with various external trading platforms. The system includes a backtesting engine that simulates trading strategies against historical market data to evaluate performance before live deployment. It employs an adapter-based integration model to normalize diverse exchange API responses into a consistent internal format. The platform pr

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    This project is a cryptocurrency exchange API documentation portal. It provides a technical reference for integrating with REST and WebSocket interfaces to trade digital assets and stream market data. The site serves as a REST API reference with schema-driven endpoint descriptions and request-response examples, alongside a WebSocket data stream guide for receiving live order book updates and price feeds. The documentation is implemented as a markdown-based static site featuring client-side search indexing and hierarchical navigation. It uses schema-driven content generation and linked asset

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    Bisq is a decentralized bitcoin exchange and peer-to-peer cryptocurrency marketplace. It enables the exchange of digital assets for national currencies or other assets through a decentralized order book without the need for a central authority, user registration, or identity verification. The project utilizes a non-custodial multi-signature escrow system to secure trades, ensuring funds are released only when trade obligations are met. To preserve user anonymity and hide IP addresses, the network routes traffic through a masked overlay and uses end-to-end encryption for all peer communication

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    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

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    Superalgos is a cryptocurrency algorithmic trading platform used for designing, backtesting, and deploying automated trading bots. It centers on a visual strategy designer that allows users to create indicators and trading logic through a graphical interface instead of writing manual code. The platform features a token-gated signal network that enables a decentralized marketplace for broadcasting and monetizing trading intelligence. Access to these signals and predictions is managed via digital tokens and reputation scores, while a distributed trading infrastructure allows users to coordinate

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