mutual-funds

There are 92 repositories under mutual-funds topic.

  • JECSand/yahoofinancials

    A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.

    Language:Python92358155221
  • jadchaar/sec-edgar-downloader

    📈 Download filings from the SEC EDGAR database using Python

    Language:Python5291686140
  • NayakwadiS/mftool

    ⚡ Python library for getting publically available Mutual Funds data in India

    Language:Python19184154
  • codereverser/casparser

    Parser for Consolidated Account Statements (CAS) generated from CAMS/Karvy/Kfintech

    Language:Python14084765
  • jadchaar/sec-edgar-api

    🤖 Unofficial SEC EDGAR API wrapper for Python

    Language:Python883716
  • joseballester/muFunds

    µFunds lets you import your asset data from Morningstar and other sources to your Google Sheets spreadsheet by using a simple formula.

    Language:JavaScript8675411
  • utkarshohm/mf-platform-bse

    Library to build a mutual fund transaction platform using the Bombay Stock Exchange StarMF platform and API

    Language:Python86141454
  • jadchaar/sec-cik-mapper

    🗺 Generate mappings between SEC identifiers using Python

    Language:Python631212
  • NayakwadiS/Forecasting_Mutual_Funds

    ⚡ This Project gives you an overall idea for Forecasting Mutual Funds

    Language:Python595231
  • sudhamstarun/Understanding-Financial-Reports-using-Natural-Language-Processing

    Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑

    Language:CSS514024
  • ankitwasankar/mftool-java

    Java Mutual Fund Library

    Language:Java464136
  • codereverser/folioman

    Indian Mutual Funds Portfolio Manager

    Language:Python462520
  • Elijas/sec-downloader

    Find and download SEC filings. Built on top of sec-edgar-downloader.

    Language:Jupyter Notebook352210
  • utkarshohm/mf-nav-data

    Historical NAV/price/time-series data of mutual funds and popular benchmark indices in India

  • utkarshohm/mf-models

    Models (data structures) required to make a mutual fund investment platform

    Language:Python304111
  • captn3m0/mf.captnemo.in

    Get information about Indian Mutual Funds from their ISIN numbers.

    Language:Ruby29353
  • nepstonks

    sarojbelbase/nepstonks

    An automated bot that scrapes the latest upcoming issues, news, and investment opportunities that are announced inside Nepal and sends them to a telegram channel.

    Language:Python27225
  • ycharts/pycharts

    Python client for the YCharts API

    Language:Python2418312
  • captn3m0/historical-mf-data

    Historical Mutual Funds data

    Language:Python22205
  • anshuthopsee/india-mutual-fund

    A simple web app to view the historical NAV of Indian Mutual Funds. You can search for a fund by name and view its historical NAV in a chart and also see the percentage change in the NAV over time. Site built with React, Material UI and D3. Data source: https://mfapi.in

    Language:JavaScript15106
  • vinaybhide/Analytics

    A responsive web application to manage your stock and mutual fund portfolio. It also features set of rich graphs, that are prepared during runtime using real-time market data. It uses my own API developed to access market data. The application can be loaded on any browser on any device.

    Language:C#13118
  • stockviz/blog

    Code, mostly in R, for charts and analysis on our blog.

    Language:HTML12404
  • wilsonleong/PortfolioAnalytics

    Portfolio Analytics

    Language:Python114461
  • c00kie17/Indian-Mutual-Fund-Tracker

    Gets data on all all Indian mutual funds.

    Language:Python9303
  • marcopaganini/quotes-exporter

    Quotes exporter for prometheus (Supports stocks, ETFs and funds)

    Language:Go9434
  • stockviz/plutons

    notebooks created on pluto

    Language:Jupyter Notebook9104
  • asad70/us_symbol_list

    Get the list of all the stokcs, etf, indices, mutual funds, Exchange-Traded Notes (ETN) listed on the New York Stock Exchange (NYSE), Nasdaq and American Stock Exchange (AMEX) including delisted companies.

    Language:Python8103
  • codereverser/casparser-web

    API demo for casparser

    Language:Vue8327
  • lassiecoder/mutual-funding-app

    A POC for a mutual fund listing app with a user signup/signin flow that displays multiple mutual funds in a scrollable list. Certain essential data displayed on every item in this list. On click of any of these items, the user will be redirected to a product details page containing additional details of that specific mutual fund.

    Language:JavaScript8208
  • mayurbhangale/amfibious

    Amfibious is a framework to gather, process and store Indian Mutual Funds data

    Language:Python8313
  • srijanshetty/mfparser

    Parse Consolidated Account Statement in India

    Language:JavaScript8301
  • svoorakk/node-amfinav

    node.js module to retrieve Indian Mutual Fund NAVs published by AMFI.

    Language:JavaScript8439
  • ajayrawatsap/mf_data

    Calculate number of units required to sell an Equity Mutual Fund so that LTCG (long term capital gains) are tax free.

    Language:Jupyter Notebook7292
  • codereverser/casparser-isin

    ISIN database for casparser

    Language:Python7497
  • 1pani/fund-rank-dashboard

    A fisdom-recommended mutual fund ranking dashboard.

    Language:Python6102
  • srinivasRM/Mutual-funds-Analysis-and-prediction

    In this project I have performed analysis and prediction on 1,3,and 5 year returns on 1064 mutual funds in India. I have scraped data from a website which is the most visited website for mutual fund investments.I have tested regression models linear model,SGD Regressor , Random Forest Regressor,Decision Tree Regressor,Ridge,MLP Regressor and linear model (Lasso).After which I have selected the best perorming model and performed Hyper parameter tuning and then deployed an interactive application which can generate the visualization and send an email with the visualization to the users email address.

    Language:Jupyter Notebook6101