Plot chart and indicator

[HappyHunt]

Poradnik co do wykresów.

https://towardsdatascience.com/the-simplest-way-to-create-an-interactive-candlestick-chart-in-python-ee9c1cde50d8

Warto tego użyć.

https://github.com/matplotlib/mplfinance https://github.com/santosjorge/cufflinks Lub do ustalenia czy sami piszemy wszystko

[HappyHunt]

https://pl.tradingview.com/chart/E32ucf5J/?symbol=BINANCE%3ABTCUSDT

https://data.binance.vision/?prefix=data/futures/um/daily/klines/BTCUSDT/1m/

[Baro-coder]

Implementation - first step:

There is implemented function to create chart according to data stored in csv file.

import sys
import plotly.graph_objects as grObj
import pandas as pd
from datetime import datetime

DATA_FILEPATH = './client/charter/data/BTCUSDT-1m-2023-03-13.csv'

def main():
    try:
        df = pd.read_csv(DATA_FILEPATH)
        print(f'{DATA_FILEPATH} : File opened successfully.')
    except FileNotFoundError as e:
        print(f'{DATA_FILEPATH} : File not Found!')
        sys.exit(1)

    print('Processing...', end=' ')
    dfc = df['open_time'].copy()
    for i in range(df['open_time'].size):
        dfc[i] = datetime.fromtimestamp(float(df['open_time'][i])/1000)

    fig = grObj.Figure(data=[grObj.Candlestick(x=dfc,
                             open=df['open'],
                             high=df['high'],
                             low=df['low'],
                             close=df['close'])])
    print('Done.')

    fig.show()

    sys.exit(0)

if __name__ == '__main__':
    main()

Chart is hosted and displayed in browser session at localhost

Future development

Data to draw must be provided from our server API, not from previosly downloaded csv file

[HappyHunt]

Dorobie pobieranie z bazy bo bede używał do testowania wskaźników