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This is an unofficial client library that provides programmatic access to TradingView chart data, technical indicators, and real-time market prices. It is designed to support automated trading workflows by enabling direct interaction with TradingView’s data and analysis capabilities through code.
The main features of mathieu2301/tradingview-api are: API Client Libraries, Historical Price Data Fetchers, Real-Time Market Prices, Trading Strategy Backtesters, Multi-Configuration Backtesters, Market Data Replayers, Aggregated Signal Providers, Live Indicator Streamers.
Projects with overlapping indexed features include: ricequant/rqalpha — RQAlpha is a Python-native quantitative trading backtesting framework and live trading execution system. It provides… polakowo/vectorbt — VectorBT is a vectorized trading strategy backtesting framework that simulates thousands of strategy configurations in… romeltorres/alpha_vantage — This project is a software library and programmatic interface designed to fetch, wrap, and analyze financial market… shinnytech/tqsdk-python — tqsdk-python is a quantitative trading SDK and framework designed for developing automated strategies for futures,… jerbouma/fundamentalanalysis — FundamentalAnalysis is a comprehensive financial analysis library, quantitative finance framework, and macroeconomic… simonlin1212/a-stock-data — This project is a comprehensive market data toolkit and financial analysis system specifically designed for China…
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
VectorBT is a vectorized trading strategy backtesting framework that simulates thousands of strategy configurations in a single pass over historical price data. It operates as a parameter optimization engine, a portfolio performance analyzer, a technical indicator calculator, and a financial data fetcher, all built around a DataFrame-centric data model that uses NumPy broadcasting for signal alignment and compiled code acceleration for performance. The framework distinguishes itself through its ability to run large-scale parameter sweeps by constructing every combination of strategy parameter
This project is a software library and programmatic interface designed to fetch, wrap, and analyze financial market data and technical indicators from the Alpha Vantage API. It functions as a client for retrieving stock, cryptocurrency, and foreign exchange data. The library includes a technical analysis toolset for calculating financial metrics and indicators, such as Bollinger Bands, and utilizes an asynchronous market data fetcher to execute concurrent requests across multiple assets to reduce total wait time. It covers data retrieval for stock time series, foreign exchange rates, and cry
FundamentalAnalysis is a comprehensive financial analysis library, quantitative finance framework, and macroeconomic data integrator. It provides tools for computing financial ratios, executing corporate health metrics, and pricing derivatives and bonds using mathematical models. The project integrates diverse data streams, including global economic indicators, real-time market quotes, and standardized corporate financial statements. It features a technical analysis engine for generating momentum and volatility indicators, as well as a portfolio performance analyzer for tracking risk-adjusted