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https://github.com/louisnw01/lightweight-charts-python
Python framework for TradingView's Lightweight Charts JavaScript library.
https://github.com/louisnw01/lightweight-charts-python
charting-library financial-charting-library live-charts ohlc-chart plotting python tradingview
Last synced: about 1 month ago
JSON representation
Python framework for TradingView's Lightweight Charts JavaScript library.
- Host: GitHub
- URL: https://github.com/louisnw01/lightweight-charts-python
- Owner: louisnw01
- License: mit
- Created: 2023-05-10T19:34:30.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-30T17:42:11.000Z (6 months ago)
- Last Synced: 2024-03-30T18:42:01.172Z (6 months ago)
- Topics: charting-library, financial-charting-library, live-charts, ohlc-chart, plotting, python, tradingview
- Language: Python
- Homepage:
- Size: 20.4 MB
- Stars: 708
- Watchers: 24
- Forks: 120
- Open Issues: 18
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
# lightweight-charts-python
[![PyPi Release](https://img.shields.io/pypi/v/lightweight-charts?color=32a852&label=PyPi)](https://pypi.org/project/lightweight-charts/)
[![Made with Python](https://img.shields.io/badge/Python-3.8+-c7a002?logo=python&logoColor=white)](https://python.org "Go to Python homepage")
[![License](https://img.shields.io/github/license/louisnw01/lightweight-charts-python?color=9c2400)](https://github.com/louisnw01/lightweight-charts-python/blob/main/LICENSE)
[![Documentation](https://img.shields.io/badge/documentation-006ee3)](https://lightweight-charts-python.readthedocs.io/en/latest/index.html)![cover](https://raw.githubusercontent.com/louisnw01/lightweight-charts-python/main/cover.png)
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/).
## Installation
```
pip install lightweight-charts
```
___## Features
1. Streamlined for live data, with methods for updating directly from tick data.
2. Multi-pane charts using [Subcharts](https://lightweight-charts-python.readthedocs.io/en/latest/reference/abstract_chart.html#AbstractChart.create_subchart).
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.
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.
5. [Tables](https://lightweight-charts-python.readthedocs.io/en/latest/reference/tables.html) for watchlists, order entry, and trade management.
6. Direct integration of market data through [Polygon.io's](https://polygon.io/?utm_source=affiliate&utm_campaign=pythonlwcharts) market data API.__Supports:__ Jupyter Notebooks, PyQt6, PyQt5, PySide6, wxPython, Streamlit, and asyncio.
PartTimeLarry: [Interactive Brokers API and TradingView Charts in Python](https://www.youtube.com/watch?v=TlhDI3PforA)
___### 1. Display data from a csv:
```python
import pandas as pd
from lightweight_charts import Chartif __name__ == '__main__':
chart = Chart()
# Columns: time | open | high | low | close | volume
df = pd.read_csv('ohlcv.csv')
chart.set(df)
chart.show(block=True)```
![setting_data image](https://raw.githubusercontent.com/louisnw01/lightweight-charts-python/main/examples/1_setting_data/setting_data.png)
___### 2. Updating bars in real-time:
```python
import pandas as pd
from time import sleep
from lightweight_charts import Chartif __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)```
![live data gif](https://github.com/louisnw01/lightweight-charts-python/blob/main/examples/2_live_data/live_data.gif?raw=true)
___### 3. Updating bars from tick data in real-time:
```python
import pandas as pd
from time import sleep
from lightweight_charts import Chartif __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)```
![tick data gif](https://raw.githubusercontent.com/louisnw01/lightweight-charts-python/main/examples/3_tick_data/tick_data.gif)
___### 4. Line Indicators:
```python
import pandas as pd
from lightweight_charts import Chartdef 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)
```
![line indicators image](https://raw.githubusercontent.com/louisnw01/lightweight-charts-python/main/examples/4_line_indicators/line_indicators.png)
___### 5. Styling:
```python
import pandas as pd
from lightweight_charts import Chartif __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)
```
![styling image](https://raw.githubusercontent.com/louisnw01/lightweight-charts-python/main/examples/5_styling/styling.png)
___### 6. Callbacks:
```python
import pandas as pd
from lightweight_charts import Chartdef 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)
```
![callbacks gif](https://raw.githubusercontent.com/louisnw01/lightweight-charts-python/main/examples/6_callbacks/callbacks.gif)
___[![Documentation](https://img.shields.io/badge/documentation-006ee3)](https://lightweight-charts-python.readthedocs.io/en/latest/index.html)
Inquiries: [[email protected]](mailto:[email protected])
____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._