{"repo":"sigma-quantiphi/ccxt-pandas","free":true,"listed":false,"github":"https://github.com/sigma-quantiphi/ccxt-pandas","clone":"git clone https://github.com/sigma-quantiphi/ccxt-pandas.git","description":"Pandas + CCXT= :heart:","language":"Python","stars":19,"topics":["algo-trading","ccxt","crypto","dataframe","pandas","python","quantitative-trading","bitcoin","eth","investment"],"license":"Apache-2.0","category":"blockchain-web3","readme_excerpt":"CCXT-Pandas 🚀 CCXT → Pandas DataFrames in One Line No more JSON → DataFrame glue code. Every CCXT method returns a clean, typed pandas DataFrame. Why CCXT-Pandas? CCXT-Pandas fuses the power of Pandas with the market-connectivity of CCXT. It turns CCXT’s nested JSONs into clean, typed DataFrames for analysis, backtests, or dashboards. It lets you place/cancel live orders using the same DataFrame-centric API. 1-liners, everywhere. Fetch OHLCV, tickers, trades, order books, balances, orders → all as DataFrames. Consistent columns & dtypes. Timestamps as UTC datetime64[ns, UTC], numeric columns as proper numerics. Zero boilerplate. Stop writing JSON-to-DataFrame glue for every exchange. CCXT-compatible. Keep your favorite CCXT params; just get DataFrames back. Installation CCXT-Pandas can be installed on Python 3.11 3.14: Examples See the examples/ directory for 20 runnable examples covering market data, trading, analytics, and WebSocket streaming. Most ship as paired .py + .ipynb files (open the notebook in Binder for inline plots); the 4 async / WebSocket examples (10, 14, 16, 17) are .py -only because Jupyter's running event loop breaks asyncio.run() . # Notebook Description Auth? --- -------- ------------- ------- 00 Sync basics OHLCV, order books, trades, funding rates, batch orders Yes 01 Spot/Future/Swap Analysis BTC spread and volume across contract types No 02 Exchange Arbitrage Cross-exchange spread detection No 03 Fetch Private Data Trades, positions, greeks Yes 04 P","default_branch":null,"files":null,"tree":[],"storefront":"/r/sigma-quantiphi","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/sigma-quantiphi/ccxt-pandas/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."}