import pandas as pd from lightweight_charts import Chart if __name__ == '__main__': chart = Chart() # Columns: time | open | high | low | close | volume  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]['close'] 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  df2 = pd.read_csv('ticks.csv') chart = Chart() chart.set(df1) chart.show() for i, tick in df2.iterrows(): chart.update_from_tick(tick) sleep(0.03)

import pandas as pd from lightweight_charts import Chart def calculate_sma(df, period: int = 50): return pd.DataFrame({ 'time': df['date'], f'SMA {period}': df['close'].rolling(window=period).mean() }).dropna() if __name__ == '__main__': chart = Chart() chart.legend(visible=True) df = pd.read_csv('ohlcv.csv') chart.set(df) line = chart.create_line('SMA 50') sma_data = calculate_sma(df, period=50) line.set(sma_data) chart.show(block=True)

import pandas as pd from lightweight_charts import Chart if __name__ == '__main__': chart = Chart() 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 get_bar_data(symbol, timeframe): if symbol not in ('AAPL', 'GOOGL', 'TSLA'): print(f'No data for "{symbol}"') return pd.DataFrame() return pd.read_csv(f'bar_data/{symbol}_{timeframe}.csv') def on_search(chart, searched_string): # Called when the user searches. new_data = get_bar_data(searched_string, chart.topbar['timeframe'].value) if new_data.empty: return chart.topbar['symbol'].set(searched_string) chart.set(new_data) def on_timeframe_selection(chart): # Called when the user changes the timeframe. new_data = get_bar_data(chart.topbar['symbol'].value, chart.topbar['timeframe'].value) if new_data.empty: return chart.set(new_data, True) def on_horizontal_line_move(chart, line): print(f'Horizontal line moved to: {line.price}') if __name__ == '__main__': chart = Chart(toolbox=True) chart.legend(True) chart.events.search += on_search chart.topbar.textbox('symbol', 'TSLA') chart.topbar.switcher('timeframe', ('1min', '5min', '30min'), default='5min', func=on_timeframe_selection) df = get_bar_data('TSLA', '5min') chart.set(df) chart.horizontal_line(200, func=on_horizontal_line_move) chart.show(block=True)