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web application for finding the best portfolio distribution for the total amount invested by investors in order to maximize their gains and minimize the risks.

Python 29.48% HTML 70.52%
stockmarketanalysis stockmarketforecasting python django plotly yfinance sqlite-database webscraping htmlcss atom-editor

optimizer's Introduction

optimizer

portfolio_optimizer

Description This repository represents the web application on topic "portfolio optimizer"

Portfolio optimizer is web application for investors which provides the distribution of the total amount they want to invest in their portfolio companies stocks in order to maximize their gains and minimize their risk on the basis of the five years stock data of their portfolio companies.

Features

1.Live stock market Data

2.Closing price Graphs

3.Volume Graphs

4.Returns Graphs

5.Companies Pages

6.Forecasting Graphs

7.Actual Data

8.Live Stock Market News

9.Optimizer

Technologies Used

  1. Web Framework -> Django(Python)

  2. Front-End -> Html/css

  3. Database -> sqlite

  4. Data Fetching ->Yfinance

  5. Graphs PLotting -> Plotly

  6. Forecasting -> FbProphet

  7. WebScraping -> Beautiful Soup

Live Stock Data Fetched From Yahoo Finance

Graphs Plot from PLotly

30 days forecasting from FbProphet

stock market data syncing from EconomicsTimesToday using BEautifulSoup**

optimizer The optimizer is made on the concept of Modern Portfolio Theory . The MPT is a practical ethod for selecting investments in order to maximize their overall returns with an acceptable level of risk. The Efficient frontier is the set of optimal portfolios that offer the highest ecpected return on a defined level of risk or the lowest risk for a fiven level of expected return . Portfolios that lie below the efficient frontier are sub optimal because they do not provide enough return for the level of risk.

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Screenshots

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optimizer's People

Contributors

mauryashobhit avatar mauryashobhit23 avatar

Watchers

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