259 lines
7.7 KiB
Markdown
259 lines
7.7 KiB
Markdown
Fork of lightweight-charts with enhancements and supporting proprietary workflow
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* colored legends
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* self picking colors
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* support for left price scale
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* support from pd series as input to set()
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* support for vbt indicators for set() (extracting real values series from that)
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<div align="center">
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# lightweight-charts-python
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[](https://pypi.org/project/lightweight-charts/)
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[](https://python.org "Go to Python homepage")
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[](https://github.com/louisnw01/lightweight-charts-python/blob/main/LICENSE)
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[](https://lightweight-charts-python.readthedocs.io/en/latest/index.html)
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lightweight-charts-python aims to provide a simple and pythonic way to access and implement [TradingView's Lightweight Charts](https://www.tradingview.com/lightweight-charts/).
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</div>
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## Installation
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```
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pip install lightweight-charts
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```
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___
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## Features
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1. Streamlined for live data, with methods for updating directly from tick data.
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2. Multi-pane charts using [Subcharts](https://lightweight-charts-python.readthedocs.io/en/latest/reference/abstract_chart.html#AbstractChart.create_subchart).
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3. The [Toolbox](https://lightweight-charts-python.readthedocs.io/en/latest/reference/toolbox.html), allowing for trendlines, rectangles, rays and horizontal lines to be drawn directly onto charts.
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4. [Events](https://lightweight-charts-python.readthedocs.io/en/latest/tutorials/events.html) allowing for timeframe selectors (1min, 5min, 30min etc.), searching, hotkeys, and more.
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5. [Tables](https://lightweight-charts-python.readthedocs.io/en/latest/reference/tables.html) for watchlists, order entry, and trade management.
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6. Direct integration of market data through [Polygon.io's](https://polygon.io/?utm_source=affiliate&utm_campaign=pythonlwcharts) market data API.
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__Supports:__ Jupyter Notebooks, PyQt6, PyQt5, PySide6, wxPython, Streamlit, and asyncio.
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PartTimeLarry: [Interactive Brokers API and TradingView Charts in Python](https://www.youtube.com/watch?v=TlhDI3PforA)
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___
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### 1. Display data from a csv:
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```python
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import pandas as pd
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from lightweight_charts import Chart
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if __name__ == '__main__':
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chart = Chart()
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# Columns: time | open | high | low | close | volume
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df = pd.read_csv('ohlcv.csv')
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chart.set(df)
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chart.show(block=True)
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```
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___
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### 2. Updating bars in real-time:
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```python
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import pandas as pd
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from time import sleep
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from lightweight_charts import Chart
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if __name__ == '__main__':
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chart = Chart()
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df1 = pd.read_csv('ohlcv.csv')
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df2 = pd.read_csv('next_ohlcv.csv')
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chart.set(df1)
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chart.show()
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last_close = df1.iloc[-1]['close']
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for i, series in df2.iterrows():
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chart.update(series)
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if series['close'] > 20 and last_close < 20:
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chart.marker(text='The price crossed $20!')
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last_close = series['close']
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sleep(0.1)
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```
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___
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### 3. Updating bars from tick data in real-time:
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```python
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import pandas as pd
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from time import sleep
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from lightweight_charts import Chart
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if __name__ == '__main__':
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df1 = pd.read_csv('ohlc.csv')
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# Columns: time | price
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df2 = pd.read_csv('ticks.csv')
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chart = Chart()
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chart.set(df1)
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chart.show()
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for i, tick in df2.iterrows():
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chart.update_from_tick(tick)
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sleep(0.03)
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```
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___
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### 4. Line Indicators:
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```python
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import pandas as pd
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from lightweight_charts import Chart
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def calculate_sma(df, period: int = 50):
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return pd.DataFrame({
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'time': df['date'],
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f'SMA {period}': df['close'].rolling(window=period).mean()
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}).dropna()
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if __name__ == '__main__':
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chart = Chart()
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chart.legend(visible=True)
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df = pd.read_csv('ohlcv.csv')
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chart.set(df)
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line = chart.create_line('SMA 50')
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sma_data = calculate_sma(df, period=50)
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line.set(sma_data)
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chart.show(block=True)
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```
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___
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### 5. Styling:
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```python
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import pandas as pd
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from lightweight_charts import Chart
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if __name__ == '__main__':
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chart = Chart()
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df = pd.read_csv('ohlcv.csv')
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chart.layout(background_color='#090008', text_color='#FFFFFF', font_size=16,
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font_family='Helvetica')
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chart.candle_style(up_color='#00ff55', down_color='#ed4807',
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border_up_color='#FFFFFF', border_down_color='#FFFFFF',
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wick_up_color='#FFFFFF', wick_down_color='#FFFFFF')
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chart.volume_config(up_color='#00ff55', down_color='#ed4807')
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chart.watermark('1D', color='rgba(180, 180, 240, 0.7)')
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chart.crosshair(mode='normal', vert_color='#FFFFFF', vert_style='dotted',
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horz_color='#FFFFFF', horz_style='dotted')
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chart.legend(visible=True, font_size=14)
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chart.set(df)
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chart.show(block=True)
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```
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___
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### 6. Callbacks:
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```python
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import pandas as pd
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from lightweight_charts import Chart
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def get_bar_data(symbol, timeframe):
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if symbol not in ('AAPL', 'GOOGL', 'TSLA'):
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print(f'No data for "{symbol}"')
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return pd.DataFrame()
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return pd.read_csv(f'bar_data/{symbol}_{timeframe}.csv')
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def on_search(chart, searched_string): # Called when the user searches.
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new_data = get_bar_data(searched_string, chart.topbar['timeframe'].value)
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if new_data.empty:
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return
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chart.topbar['symbol'].set(searched_string)
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chart.set(new_data)
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def on_timeframe_selection(chart): # Called when the user changes the timeframe.
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new_data = get_bar_data(chart.topbar['symbol'].value, chart.topbar['timeframe'].value)
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if new_data.empty:
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return
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chart.set(new_data, True)
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def on_horizontal_line_move(chart, line):
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print(f'Horizontal line moved to: {line.price}')
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if __name__ == '__main__':
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chart = Chart(toolbox=True)
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chart.legend(True)
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chart.events.search += on_search
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chart.topbar.textbox('symbol', 'TSLA')
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chart.topbar.switcher('timeframe', ('1min', '5min', '30min'), default='5min',
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func=on_timeframe_selection)
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df = get_bar_data('TSLA', '5min')
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chart.set(df)
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chart.horizontal_line(200, func=on_horizontal_line_move)
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chart.show(block=True)
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```
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___
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<div align="center">
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[](https://lightweight-charts-python.readthedocs.io/en/latest/index.html)
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Inquiries: [shaders_worker_0e@icloud.com](mailto:shaders_worker_0e@icloud.com)
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___
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_This package is an independent creation and has not been endorsed, sponsored, or approved by TradingView. The author of this package does not have any official relationship with TradingView, and the package does not represent the views or opinions of TradingView._
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</div>
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