Terminé

Stock Screener for NSE stocks.

Job Description:

Hello,

I am looking for a stock screener on python for NSE stocks. The requirement is

1) To filter stocks based on certain filters, e.g. PE < 30, PB < 2, PEG < 2, Forward PE, Trailing PE.. etc based on Yahoo Finance API.

2) Perform future price predictions on the selected stocks based on cash flow, earning multiples, linear regression to predict future prices.

3) Display output on the screen.

Please reach out if you are comfortable with Python, Yahoo Finance, Investment analysis, Regression.

Many thanks.

Compétences : Python, Statistiques, Analyses statistiques, Linear Regression

Concernant le client :
( 0 commentaires ) THRISSUR, India

Nº du projet : #34765316

Décerné à:

sachin2705

Hi, I have 7 years of experience in python. I have also worked earlier on a project in which I have used Yahoo finance api for stocks analysis. Please feel free to share the details. I can definitely help you complete Plus

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7 freelances font une offre moyenne de 5049 ₹ pour ce travail

wilfrednjorog

Hi there! I have vast experience in Python, Statistics, Statistical Analysis and Linear Regression, and I am confident that I can produce quality content for you that will be of interest to your readers. I am availabl Plus

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2.6
errandssolution

Hey I can write your research paper and contents with great quality and free of plagiarism as I am a phd writer with 5 years experience in similar academic and research writing projects. Kindly send me more information Plus

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jjonahelvis

HELLO DEAR EMPLOYER, I am a FULL STACK DEVELOPER with expertise in PHP, HTML,HTML5, ASP, PYTHON, API, CSS, .NET, MySQL, ASP.NET, NODE,NODE.js, JAVASCRIPT, Linux and C PROGRAMMING. I also have vast experience in STATICA Plus

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ShahinazShokry

Hey! I'm a datascientist and I can help you by implementing multiple linear regression using statsmodels

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Nawaz000

Hi, I have read your requirements and am interested to work on this project. About Me : I'm a quant trader at a wealth management firm and have already created screener based on multiple filters on yfinance api using Plus

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