# OHLCV+
<img heigh=auto width=15% src="https://github.com/Shaft-3796/Shaft/blob/main/OHLCV+.png">
Download market data, aka OHLCV for Open High Low Close Volume, is something very useful for a trader.
OHLCV+ provide you a way to manage your data.
## Features 📋
- Download market data very quickly using multithreading (in the respect of API rate limit).
- Save your data in a lightweight database.
- Load your data from the database very quickly.
- Update your data to keep up-to-date ohlcvs.
- Super simple with only one method to use.
## Tutorial 🔎
#### Dependencies
- Pandas
- CCXT
- colorama
- SQLAlchemy
#### Installation
The package is packaged as a pip package, you can install it with this command:
```pip install OhlcvPlus```
You can also manually download this project and its dependencies.
```pip install -r requirements.txt```
#### Usage
OhlcvPlus is super easy to use !
To see how it works, just look at the example.py file.
The code is also commented, you can easily take a look at the methods docstrings.
```python
from ohlcv import OhlcvPlus
import ccxt.
client = ccxt.binance()
ohlcvp = OhlcvPlus(client, database_path='my_data.db')
ohlcv1 = ohlcvp.load(market='BTC/USDT', timeframe='1m', since='2023-01-01 00:00:00', limit=1000, update=True, verbose=True, workers=100)
```
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"description": "# OHLCV+\n\n<img heigh=auto width=15% src=\"https://github.com/Shaft-3796/Shaft/blob/main/OHLCV+.png\">\n\nDownload market data, aka OHLCV for Open High Low Close Volume, is something very useful for a trader.\nOHLCV+ provide you a way to manage your data.\n\n## Features \ud83d\udccb\n\n- Download market data very quickly using multithreading (in the respect of API rate limit).\n- Save your data in a lightweight database.\n- Load your data from the database very quickly.\n- Update your data to keep up-to-date ohlcvs.\n- Super simple with only one method to use.\n\n## Tutorial \ud83d\udd0e\n\n#### Dependencies\n\n- Pandas\n- CCXT\n- colorama\n- SQLAlchemy\n\n#### Installation\n\nThe package is packaged as a pip package, you can install it with this command:\n```pip install OhlcvPlus```\n\nYou can also manually download this project and its dependencies.\n```pip install -r requirements.txt```\n\n#### Usage\n\nOhlcvPlus is super easy to use !\nTo see how it works, just look at the example.py file.\nThe code is also commented, you can easily take a look at the methods docstrings.\n\n```python\nfrom ohlcv import OhlcvPlus\nimport ccxt.\n\nclient = ccxt.binance()\nohlcvp = OhlcvPlus(client, database_path='my_data.db')\nohlcv1 = ohlcvp.load(market='BTC/USDT', timeframe='1m', since='2023-01-01 00:00:00', limit=1000, update=True, verbose=True, workers=100)\n```\n",
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