📈 A small, fast chart for time series, lines, areas, ohlc & bars
Financial Markets Data Visualization using Matplotlib
Chart.js module for charting financial securities
✨ Download historical and real-time price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨
Twelve Data Python Client - Financial data API & WebSocket
Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.
Candlestick patterns detection.
An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).
Solana OHLC Candlestick Data API: This repository demonstrates how to use the Vybe Solana OHLC candlestick data API to fetch, display, and export OHLC candlestick data for any Token-2022 or SPL token. Use this project as a reference implementation or starter kit for building Solana price charting UIs, backtesting pipelines, and on-chain analytics.
Apply popular TA tools and charts to candlestick data with NumPy.
An open source JavaScript library for fetching tickers from cryptocurrency exchanges
Svelte wrapper for financial lightweight charts
OHLC,news,economic event restfull api and WebSocket API for specifically designed for AI quantitative trading/training.Multiple Timeframes,Multiple-Symbols-Multiple-Timeframes
Get meaningful OHLCV datasets
Real-time DexScreener scraper python SDK for multi-chain token discovery, filtering, and OHLC/OHLCVT export for metatrader and bots.
[NPM] OHLCV Candlestick Batcher/Converter
A .NET wrapper built on Quandl v3 REST API, based on .NET standard 2.0
PriceHub: Unified Python Package for Collecting OHLC Prices from Binance, Bybit, OKX, Coinbase, Kraken APIs into a DataFrame
Pattern detection for 37 bullish and 37 bearish candlestick patterns, 9 bullish, 9 bearish and additionally 2 continuation classic chart formations, 6 bullish, 6 bearish fibonacci chart patterns. Additionally, you can test their effectiveness on the data provided.
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