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Screeni Py

A Python-based stock screener to find stocks with potential breakout probability from NSE India.

Install / Use

npx skills add pranjal-joshi/Screeni-py

Installs into whichever agent you are using.

About this skill

Quality Score

0/100

Supported Platforms

Universal

README

| | | :-: | | Screeni-py | | GitHub release (latest by date) GitHub all releases Docker Pulls GitHub CodeFactor MADE-IN-INDIA BADGE | | Screenipy Test - New Features Screenipy Build - New Release | | Windows Linux Mac OS Docker | | <img width="240" src="https://user-images.githubusercontent.com/6128978/217814499-7934edf6-fcc3-46d7-887e-7757c94e1632.png"><h2>Scan QR Code to join Official Telegram Group for Additional Discussions</h2> |

| YouTube | Use | Discussion | Bugs/Issues | Documentation | | :---: | :---: | :---: | :---: | :---: | | youtube | docker | meeting | warning | help | | Watch our YouTube playlist | Get started quickly using Docker | Join/Read the Community Discussion | Raise an Issue about a Problem | Get Help about Usage |

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What is Screeni-py?

A Python-based stock screener for NSE, India

Screenipy is an advanced stock screener to find potential breakout stocks from NSE and tell its possible breakout values. It also helps to find the stocks that are consolidating and may breakout, or the particular chart patterns that you're looking for specifically to make your decisions. Screenipy is totally customizable and it can screen stocks with the settings that you have provided.

How to use? (New Version - GUI Based)

Screeni-py - Detailed Installation Guide Screeni-py - Configuration and Usage | Screenipy - Python NSE Stock Screener Screeni-py - How to install Software Updates? | Screenipy - Python NSE Stock Screener

  • Install Docker Desktop and pull the latest docker image from the release page.
  • Checkout this YouTube Video for detailed installation guide.
<img width="1438" alt="image" src="https://github.com/pranjal-joshi/Screeni-py/assets/6128978/2016be00-5892-4735-8ab3-5f5b70add103"> <img width="1438" alt="image" src="https://github.com/pranjal-joshi/Screeni-py/assets/6128978/28947290-7f42-4f6f-9fc0-0bae1ee6d6f4"> <img width="1438" alt="image" src="https://github.com/pranjal-joshi/Screeni-py/assets/6128978/857f8acc-a4e8-4b86-a748-c26057b0e8b1"> <img width="1438" alt="image" src="https://github.com/pranjal-joshi/Screeni-py/assets/6128978/360b5faa-f4f4-4df6-bec1-90985889bee6"> <img width="1438" alt="image" src="https://github.com/pranjal-joshi/Screeni-py/assets/6128978/99903d67-d450-4c04-93ae-1f5bb4b905a5">

How to use? (Older Version - CLI Based - DEPRECATED)

  • Download the suitable file according to your OS or install Docker Desktop and pull the latest docker image.

  • Linux & Mac users should make sure that the screenipy.bin or screenipy.run has execute permission.

  • Run the file. The following window will appear after a brief delay.

    home

  • Configure the parameters as per your requirement using Option > 8.

    config

  • Following are the screenshots of screening and output results.

    screening results done

  • Once done, you can also save the results in an Excel file.

Understanding the Result Table

The Result table contains a lot of different parameters which can be pretty overwhelming to the new users, so here's the description and significance of each parameter.

| Sr | Parameter | Description | Example | |:---:|:---:|:---|:---| |1|Stock|This is a NSE scrip symbol. If your OS/Terminal supports unicode, You can directly open TradingView charts by pressing Ctrl+Click on the stock name.|TATAMOTORS| |2|Consolidating|It gives the price range in which stock is trading since last N days. N is configurable and can be modified by executing Edit User Configuration option.|If stock is trading between price 100-120 in last 30 days, Output will be Range = 20.0 %| |3|Breakout (N Days)|This is pure magic! The BO is Breakout level in last N days while R is the next resistance level if available. An investor should consider both BO & R level to decide entry/exits in their trades.|B:302, R:313(Breakout level is 100 & Next resistance is 102)| |4|LTP|LTP is the Last Traded Price of an asset traded on NSE.|298.7 (Stock is trading at this price)| |5|Volume|Volume shows the relative volume of the recent candle with respect to 20 period MA of Volume. It could be Unknown for newly listed stocks.|if 20MA(Volume) is 1M and todays Volume is 2.8M, then Volume = 2.8x| |6|MA-Signal|It describes the price trend of an asset by analyzing various 50-200 MA/EMA crossover strategies.|200MA-Support,BullCross-50MA etc| |7|RSI|For the momentum traders, it describes 14-period RSI for quick decision-making about their trading plans|0 to 100| |8|Trend|By using advanced algorithms, the average trendlines are computed for N days and their strength is displayed depending on the steepness of the trendlines. (This does NOT show any trendline on a chart, it is calculated internally)|Strong Up, Weak Down etc.| |9|Pattern|If the chart or the candle itself forming any important pattern in the recent timeframe or as per the selected screening option, various important patterns will be indicated here.|Momentum Gainer, Inside Bar (N),Bullish Engulfing etc.|

Hack it your way

Feel free to Edit the parameters in the screenipy.ini file which will be generated by the application.

[config]
period = 300d
daystolookback = 30
duration = 1d
minprice = 30
maxprice = 10000
volumeratio = 2
consolidationpercentage = 10
shuffle = y
cachestockdata = y
onlystagetwostocks = y
useema = n

Try to tweak these parameters as per your trading styles. For example, If you're comfortable with weekly charts, make duration=5d and so on.

Installation Guide

YouTube Video of Detailed Installation Guide

YouTube Video Views

Screeni-py - Detailed Installation Guide

Windows Linux Mac OS ![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&

Related Skills

View on GitHub
GitHub Stars697
CategoryDevelopment
Updated5d ago
Forks246

Languages

Python

Security Score

100/100

Audited on Aug 2, 2026

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