ubunatic / ohlc
open-high-low-close types and tools
☆33Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ohlc
- Python driver for MarketStore☆107Updated last year
- Calculates pivot points for a given ticker symbol, indicating areas of support and resistance☆31Updated 6 years ago
- very fast python backtesting framework based on amibroker backtesting methodology☆40Updated 6 years ago
- IbPy-like interface for the Interactive Brokers Python API☆59Updated last year
- Technical analysis routines for Python☆105Updated 10 years ago
- Computational Finance in Python.☆23Updated 7 years ago
- Scanner that finds patterns in stocks/options/futures and discerns future risk/reward. Ie, money ball engine.☆22Updated 3 years ago
- ☆27Updated 3 years ago
- MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning bas…☆46Updated last year
- Fast Technical Indicators speed up with Numba☆42Updated last year
- Simple wrapper and a command-line tool for Bloomberg's OpenFIGI API.☆28Updated 3 years ago
- Data Analysis with Interactive Brokers API☆8Updated last year
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆42Updated last year
- Financial technical and fundamental analysis indicator library for pystockdb.☆33Updated this week
- ☆32Updated 4 years ago
- Event-driven data pipelines☆133Updated 10 months ago
- Project name- Super Trend Visulaization Author- Kanishka Narayan Description- Use this code to re-create a visulization application used …☆19Updated last year
- A Python toolkit for high-frequency trade research.☆39Updated 6 years ago
- Distributed Trading Platform☆12Updated 6 years ago
- A Python module for market simulation☆23Updated 5 years ago
- Technical Indicators in Python☆43Updated 7 years ago
- Advances in Financial Machine Learning by Marcos Lopez De Prado☆53Updated 5 years ago
- Base Environment to create trading applications using publisher/subscribe pattern. The OANDAd daemon parses the tick stream of configured…☆47Updated 9 months ago
- Simple and responsive candlestick chart in Python with Bokeh☆34Updated 5 years ago
- Run ib_insync with IBC Inside Docker Container☆22Updated 5 years ago
- Command line interface and Python client for QuantRocket☆30Updated this week
- Performance tear sheets and backtest analysis for Moonshot☆35Updated 6 months ago
- Using Machine Learning for live currency trading☆36Updated 5 years ago