quantsight 0.1.2

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This is a Python client for the Quantsight Data API, which allows you to fetch historical funding rates, candle data, and perform custom queries from supported exchanges. The client is easy to use and supports fetching data into a Pandas DataFrame for further analysis.

Installation

To install the Quantsight Data API Python client, use pip:

pip install quantsight

Usage

First, import the QuantsightDataAPI class and create an instance with your API key:

from quantsight import Quantsight

api_key = "your_api_key"
qs = Quantsight(api_key)

Then, you can use the following methods to fetch data from the Quantsight Data API:

Get funding rate

To fetch historical funding rates from a supported exchange, use the get_funding_rate method:

funding_rate_df = qs.get_funding_rate("2010-01-01T00:00:00", "2023-05-04T11:47:20.958631", "okx", 100, "BTC-USD-SWAP")

Get OHLCV data

To fetch candle data from a supported exchange, use the get_ohlcv method:

ohlcv_df = qs.get_ohlcv("2010-01-01T00:00:00", "2023-05-04T11:47:20.958631", "okx", "1d", "spot", 100, "BTC-USD-SWAP")

Get OHLCV data around time

To fetch candle data around a specific point in time, use the get_ohlcv_around_time method:

ohlcv_around_time_df = qs.get_ohlcv_around_time("2010-01-01T00:00:00+00:00", "2023-05-04T10:47:20.956633+00:00", "okx", "1d", "spot", "00:00:00", 10, 100, "BTC-USD-SWAP")

Custom query (BETA)

To perform a custom query, use the custom_query method:

custom_query_df = qs.custom_query("SELECT close FROM {{okx.ohlcv.swap.1d}} LIMIT 10", dry_run=True, use_legacy_sql=False)

Each method returns a Pandas DataFrame containing the fetched data.

License

This project is licensed under the MIT License. See the LICENSE file for details.