{"repo":"algobulls/pyalgotrading","free":true,"listed":false,"github":"https://github.com/algobulls/pyalgotrading","clone":"git clone https://github.com/algobulls/pyalgotrading.git","description":"Official Python Package for Algorithmic Trading APIs powered by AlgoBulls","language":"Jupyter Notebook","stars":299,"topics":["python","algorithmic-trading-strategies","backtesting","paper-trading","real-trading","trading-platform","algobulls-platform"],"license":"MIT","category":"trading","readme_excerpt":"pyalgotrading Official Python Package for Algorithmic Trading APIs powered by AlgoBulls! Features - Powered by the AlgoBulls Platform) - Everything related to Algorithmic Trading Strategies! - Free pool of Strategies are available at pyalgostrategypool! - Create & upload strategies easily on the cloud - Support for all 150+ Technical Indicators provided by TA-Lib - Support for multiple candlesticks patterns - Japanese OHLC, Renko, Heikin-Ashi, Linebreak - Support for multiple candle intervals - 1 minute, 3 minutes, 5 minutes, 10 minutes, 15 minutes, 30 minutes, 1 hour, 1 day. - Support for Regular Orders , Bracket Orders and Cover Orders - Support for MARKET , LIMIT , STOPLOSS-LIMIT , STOPLOSS-MARKET orders - Support for INTRADAY and DELIVERY orders - Support for Backtesting - Support for Paper Trading - Support for Live Trading / Real Trading - Support for multiple brokers for Live Trading. Check list of supported brokers here. - Real-time Logs for Backtesting, Paper Trading, Live Trading - Multiple real-time Reports available for Backtesting, Paper Trading and Live Trading: - Profit-&-Loss report (P&L report) - Statistics Report - Order History Log for each order with state transitions & timestamps - Detailed analytics with charts - Support for calculating Slippage - Support for calculating Brokerage - Support for importing external P&L table and generating analytics on the same - Plot Candlestick charts using plotly.py Backtesting, Paper Trading and Real Trading can be per","default_branch":null,"files":null,"tree":[],"storefront":"/r/algobulls","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/algobulls/pyalgotrading/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}