import pandas as pd
from lightweight_charts import Chart


if __name__ == '__main__':
    
    chart = Chart()
    
    # Columns: | time | open | high | low | close | volume (if volume is enabled) |
    df = pd.read_csv('ohlcv.csv')
    chart.set(df)
    
    chart.show(block=True)

import pandas as pd
from time import sleep
from lightweight_charts import Chart

if __name__ == '__main__':

    chart = Chart()

    df1 = pd.read_csv('ohlcv.csv')
    df2 = pd.read_csv('next_ohlcv.csv')

    chart.set(df1)

    chart.show()

    last_close = df1.iloc[-1]
    
    for i, series in df2.iterrows():
        chart.update(series)

        if series['close'] > 20 and last_close < 20:
            chart.marker(text='The price crossed $20!')
            
        last_close = series['close']
        sleep(0.1)

import pandas as pd
from time import sleep
from lightweight_charts import Chart


if __name__ == '__main__':
    
    df1 = pd.read_csv('ohlc.csv')
    
    # Columns: | time | price | volume (if volume is enabled) |
    df2 = pd.read_csv('ticks.csv')
    
    chart = Chart(volume_enabled=False)
    
    chart.set(df1)
    
    chart.show()
    
    for i, tick in df2.iterrows():
        chart.update_from_tick(tick)
            
        sleep(0.3)

import pandas as pd
from lightweight_charts import Chart


def calculate_sma(data: pd.DataFrame, period: int = 50):
    def avg(d: pd.DataFrame): 
        return d['close'].mean()
    result = []
    for i in range(period - 1, len(data)):
        val = avg(data.iloc[i - period + 1:i])
        result.append({'time': data.iloc[i]['date'], 'value': val})
    return pd.DataFrame(result)


if __name__ == '__main__':
    
    chart = Chart()
    
    df = pd.read_csv('ohlcv.csv')
    chart.set(df)
    
    line = chart.create_line()
    sma_data = calculate_sma(df)
    line.set(sma_data)
    
    chart.show(block=True)

import pandas as pd
from lightweight_charts import Chart


if __name__ == '__main__':
    
    chart = Chart(debug=True)

    df = pd.read_csv('ohlcv.csv')

    chart.layout(background_color='#090008', text_color='#FFFFFF', font_size=16,
                 font_family='Helvetica')

    chart.candle_style(up_color='#00ff55', down_color='#ed4807',
                       border_up_color='#FFFFFF', border_down_color='#FFFFFF',
                       wick_up_color='#FFFFFF', wick_down_color='#FFFFFF')

    chart.volume_config(up_color='#00ff55', down_color='#ed4807')

    chart.watermark('1D', color='rgba(180, 180, 240, 0.7)')

    chart.crosshair(mode='normal', vert_color='#FFFFFF', vert_style='dotted',
                    horz_color='#FFFFFF', horz_style='dotted')

    chart.legend(visible=True, font_size=14)

    chart.set(df)

    chart.show(block=True)

import pandas as pd
from lightweight_charts import Chart


def on_click(bar: dict):
    print(f"Time: {bar['time']} | Close: {bar['close']}")


if __name__ == '__main__':
    
    chart = Chart()

    df = pd.read_csv('ohlcv.csv')
    chart.set(df)

    chart.subscribe_click(on_click)

    chart.show(block=True)