candlestick-chart 3.1.0

Draw candlesticks charts right into your terminal, using Python!

Python Candlesticks Chart

📈 Draw candlesticks charts right into your terminal, using Python!

This is a portage from the great cli-candlestick-chart (developed by Julien-R44, written in Rust). You are looking at the Python 3.10+ version.

Note: not tested on macOS, nor Windows (it will likely fail to render colors).

Table of contents:

• Python Candlesticks Chart
  • Features
  • Installation
  • Demonstration
• Binary Usage
• Examples
  • API
  • Binary
    • Read CSV from file
    • Read JSON from file
    • Read from stdin
  • Developers

Features

• Auto-fit to terminal size
• Practical formatting for big, and tiny, numbers
• Integration with Rich
• Simple, yet customizable, API
• Exact same API as the Rust version, plus some sugar
• Simple installation, no external dependencies

Installation

$ python -m pip install -U candlestick-chart

Demonstration

from candlestick_chart import Candle, Chart


# Add some candles
candles = [
    Candle(open=133.520004, close=133.610001, high=126.760002, low=129.410004),
    Candle(open=128.889999, close=131.740005, high=128.429993, low=131.009995),
    Candle(open=127.720001, close=131.050003, high=126.379997, low=126.599998),
    Candle(open=128.360001, close=131.630005, high=127.860001, low=130.919998),
    Candle(open=132.429993, close=132.630005, high=130.229996, low=132.050003),
]

# Create and display the chart
# Optional keyword arguments: title, width, height
chart = Chart(candles, title="Optional title")

# Set the chart title
chart.set_name("BTC/USDT")

# Set customs colors
chart.set_bear_color(1, 205, 254)
chart.set_bull_color(255, 107, 153)
chart.set_vol_bull_color(1, 205, 254)
chart.set_vol_bear_color(255, 107, 153)

# Set custom labels (empty string => label not displayed)
chart.set_label("highest", "ATH")
chart.set_label("lowest", "ATL")
chart.set_label("average", "")
chart.set_label("volume", "")

# Volume pane settings
chart.set_volume_pane_height(6)
chart.set_volume_pane_enabled(False)

# And, it is also responsive!
new_width = 200
new_height = 150
chart.update_size(new_width, new_height)

# By the way, did you know that you can add more candles in real-time?
chart.update_candles(candles[:3])
# Or completely replace current candles
chart.update_candles(candles[:3], reset=True)

# Set a custom color at price 52,348.63
chart.set_highlight(fnum(52_348.63), "red")
chart.set_highlight(fnum(52_348.63), (255, 0, 0))
chart.set_highlight(fnum(52_348.63), "91m")
chart.set_highlight(fnum(52_348.63), "91;47m")

chart.draw()

Binary Usage

When installing the library, an executable is made available (candlestick-chart):

candlestick-chart --help

options:
  -h, --help            show this help message and exit
  -m {stdin,csv-file,json-file}, --mode {stdin,csv-file,json-file}
                        Select the method for retrieving the candles.
  -f FILE, --file FILE  [MODE:*-file] File to read candles from.
  --chart-name CHART_NAME
                        Sets the chart name.
  --bear-color BEAR_COLOR
                        Sets the descending candles color in hexadecimal.
  --bull-color BULL_COLOR
                        Sets the ascending candles color in hexadecimal.
  --version             show program's version number and exit

When requesting the JSON or stdin mode, the library expects a JSON with the following format:

[
    {
        "open": 28994.009766,
        "high": 29600.626953,
        "low": 28803.585938,
        "close": 29374.152344
    },
    ...
]

For all requests, here are supported fields:

"open": float  # mandatory
"close": float  # mandatory
"high": float  # mandatory
"low": float  # mandatory
"volume": float
"timestamp": float

Examples

API

• Basic example with CSV parsing: run with $ python examples/basic_from_csv_file.py
• Basic example with JSON parsing: run with $ python examples/basic_from_json_file.py
• Basic example with stdin parsing: run with $ ./examples/basic_from_stdin.sh
• Fetch candles from Binance: run with $ python examples/fetch_from_binance.py
• Integration with Rich: run with $ python examples/integrate_with_rich.py
• Using a custom chart renderer class: run with $ python examples/custom_renderer_class.py

Binary

Read CSV from file

candlestick-chart \
    --mode=csv-file \
    --file='./examples/BTC-USD.csv' \
    --chart-name='My BTC Chart' \
    --bear-color='#b967ff' \
    --bull-color='ff6b99'

Read JSON from file

candlestick-chart \
    --mode=json-file \
    --file='./examples/BTC-chart.json' \
    --chart-name='My BTC Chart' \
    --bear-color='#b967ff' \
    --bull-color='ff6b99'

Read from stdin

echo '[
  {
    "open": 28994.009766,
    "high": 29600.626953,
    "low": 28803.585938,
    "close": 29374.152344
  },
  {
    "open": 29376.455078,
    "high": 33155.117188,
    "low": 29091.181641,
    "close": 32127.267578
  }
]' | candlestick-chart \
    --mode=stdin \
    --chart-name='My BTC Chart' \
    --bear-color='#b967ff' \
    --bull-color='ff6b99'

Developers

Setup:

python -m venv venv
. venv/bin/activate
python -m pip install -U pip

Install:

python -m pip install -e '.[test]'

Test:

python -m pytest