ohlc

Financial Markets Data Visualization using Matplotlib

Chart.js module for charting financial securities

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.

Twelve Data Python Client - Financial data API & WebSocket

Apply popular TA tools and charts to candlestick data with NumPy.

A handy Yahoo! Finance api wrapper, based on .NET Standard 2.0

An open source JavaScript library for fetching tickers from cryptocurrency exchanges

📥 📈 ⚙️ Download historical price tick data for 800+ instruments (Crypto, Stocks, ETFs, CFDs, Forex) via Node.js and CLI

A REST API providing snapshot, tick, and aggregated market data for crypto-currencies

super-monorepo for machine learning and algorithmic trading

A .NET wrapper built on Quandl v3 REST API, based on .NET standard 2.0

[NPM] OHLCV Candlestick Batcher/Converter

Imports historical OHLC data from Bitfinex

Svelte wrapper for financial lightweight charts

Import historical OHLC data from GDAX

fetches historical OHLC values from most crypto exchanges using ccxt library. saves candles to a sqlite database per symbol.

Aggregate OHLC data

📈 A simple backtester for OHLC data

Charting tool for financial data

Generate candlesticks from your tick data in realtime.

TradingView Chart Launcher

IQFeed CSV market data download tool

A .NET wrapper for Stooq, based on .NET Standard 2.0

Fetch public intraday data from Bovespa Stocks and converts into OHLC xts time series to use with quantmod in R

Download, convert and export Dukascopy tick data. Package converts tick data from proprietary Bi5 format to standard CSV file with raw tick data or OHLCV data resampled to custom time frame resolution.

OHLC based trading 📈

A quick-start example to help you add the Syncfusion Flutter Charts package to a Flutter app. You will learn how to add a cartesian chart to a Flutter project. You will learn how to set a data source to the chart and how to add a Candle and OpenHighLowClose (OHLC) series to it. You will also see how to customize the primary axes; enable trackball, show legends, and add a title in the financial charts.

Technical analysis of Bitcoin trends involving use of stock price indicators

A collection of Splunk modular visualizations based on plotly.js