Home

• Installation
• Usage
• Plot.py - Basic Usage
• Plot.py - Watchlists and presets
• Plot.py - Drawing Trends and Trading Lines
• Plot.py - Delivery Analysis using Plot.py and Dget.py
• plot_breadth.py ‐ Plot market breadth indicators
• Configuration
• Automate using Crontab - Linux
• Automate using ScheduledTasks - Windows
• Run custom Python code while syncing data

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Quick Start

If you've following the installation instructions, here is instructions to get you started.

All stock CSV data is stored in src/eod2_data/daily

The src folder contains three main files:

init.py

To download and update the latest NSE EOD data. Run it daily after 7pm for best results. Alternatively run it weekly or any time that suits your requirements.

market_breadth_sync.py

Update and syncs the latest indicator values. Make sure latest data has been updated using init.py. See plot_breadth.py ‐ Plot market breadth indicators

plot.py

To quickly plot charts with sma, ema, volume and relative strength indicators.

• It has mouse/keyboard support for drawing basic trendlines, horizontal lines and marking levels.
• All technical drawings are saved to src/data/lines and reloaded on every run.

Below are some simple comands to get started. See Basic Usage for more info

# Use n and p on keyboard to switch to next and previous charts
py plot.py --sym tcm hdfcbank natcopharm 

# symbols with spaces must be quoted
py plot.py --sym 'nifty 50' 'nifty 100' 

dget.py

This is used for delivery data analysis. It shows the delivery Quantity and Traded Quantity as a multiple of its 60 Day average. This is similar to the delivery percent displayed on NSE website. See Delivery Analysis for more info.

py dget.py --sym tcs infy

You can also use plot.py to display this data, visually on charts.

py plot.py --sym tcs --dlv