crypto-ohlcv

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Gets historical OHLCV data from supported exchanges and converts it into dataframe readable by TensorTrade.

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# Crypto OHLCV (Open High Low Close Volume)
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---

crypto-ohlcv is a simple Python script that lets you fetch historical OHLCV data from ccxt supported exchanges.
I wrote this script, because my other script focussed solely on Binance, whereas this one supports many exchanges.
It consists of one simple function called `fetch_data()`, that returns a pandas Dataframe, readible by TensorTrade.

## How to use
- Add `ohlcv.py` located in src to same directory you're working in.
- Write: `from ohlcv import fetch_data`.
- To get the latest 500 daily data points of OHLCV on the BTC/USDT pair from Binance, write: `fetch_data(exchange='binance', symbol="BTC/USDT", timeframe='1d', limit=500)`.
- The result will be a pandas DataFrame consisting of the latest 500 daily candles of BTC/USDT on Binance.

## Supported exchanges
The `exchange` parameter should be one of the exchanges supported by ccxt, you can find the supported exchanges [here](https://github.com/ccxt/ccxt/wiki/Exchange-Markets).

## Symbols
`Symbol` can be any pair available on the specified exchange.

## Time frames
Supported time frames are: '1m', '3m', '5m', '15m', '30m', '1h', '2h', '4h', '6h', '8h', '12h', '1d', '3d', '1w', '1M'.

## Limit
`Limit` is the number of rows you would like to have returned, leaving this unspecified will return most available.
Using `since` as parameter will change the starting point of gathering the data, this is an integer consisting of UTC timestamp in milliseconds. You can also specify it as a string or datetime object, it will automatically be converted to the right format.

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