Mutual funds dataset. back testing period is displayed on Figure 19.

Mutual funds dataset 96: amount in rupees crore: 2023-24: Aditya Birla Sun Life Mutual Fund-1844. Several small datasets have to be combined to create a larger dataset. Along with basic fun Performed in-depth analysis of mutual fund performance using Python and Kaggle dataset, providing actionable insights to assess fund performance and investment strategies. Buy & download Fund Data datasets instantly. Mutual Funds Filters (1) Explore and add more filters Done. 15 years of historical data. To determine whether at least some active This Dataset contains day-wise total number of subscription and redemption orders and value of subscription and redemption of Mutual Funds from Bombay Stock Exchange and National Stock Exchange Datasets HFIs. Starts at . Funds by Company. Our ETF and Mutual Funds dataset provides extensive coverage across various asset classes, and investment strategies. We collect the data about mutual fund families and individual schemes operating in India from two disparate data sources: Association of Mutual Funds in India (or AMFI ) [4] - the association of SEBI (Securities and Exchange Board of India) Let's begin by understanding the structure of the dataset: scheme_name: The name of the mutual fund scheme. 5: orders in absolute number, value in indian rupees mutual-funds open-datasets git-scraping pricing-information indian-finance sqlite-dataset. Summery of related work. So, for my final project, I chose a dataset of mutual funds. Tradefeeds Mutual Funds Database & API allows you to get access to more than 6500 mutual funds. v0. Buy & download Mutual Funds Data datasets instantly. $5,000 / purchase. Access thousands of datasets for free with the University Plan! Students and professors—ask your librarian to subscribe today and elevate your academic research. expense_ratio: The expense ratio of the fund. The earliest data comes from 2007 up until today. Updated Mar 19, 2025; Python; anshuthopsee / india-mutual-fund. Code Issues Pull requests A simple web app to view the historical NAV of Indian Mutual Funds. Dataset of all Indian Mutual Fund NAVs is in this repository as ZIP file along with a script with which to download NAVs in CSV format. Mutual funds are characterized by their net asset value (NAV), which represents the per-share value of the fund's assets minus its liabilities. See all collections Need information regarding mutual funds, investments and MF performance on a regular basis? AMFI offers data and information on mutual funds. Download Data The dataset consists of daily closing stock prices of 50 major Indian companies from sectors like banking, technology, consumer goods, and automotive. Imported Python libraries and systematically addressed missing data points, enhancing dataset integrity that enabled the identification of over 10 key insights during These funds charge a high premium because the funds are expected to perform well compared to the market; however, historically, almost 75 percent of mutual funds fail to beat the market (however this dataset used data from 2016-17 in which only 66 percent failed to beat the market). Time Saved. You signed out in another tab or window. Something went wrong and this page Mutual Fund Data for Research, Insights, and Decision Making. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Star 17. Return_3yr (%): The return percentage of the mutual fund scheme over 3 year. Please see Mutual funds are a type of investment with each fund having some investment objective. SEC regulations require that a fund’s prospectus must contain its principal investment objective. We have proposed a clustering models for recommending mutual funds by analyzing theories regarding mutual fund investments and returns. Number of instances: The dataset contains data on hundreds of mutual funds available in India. Exchange / Nasdaq. Report repository Releases 723. Along with basic fund info, the dataset should also incorporate their prospectuses. Compare the best Mutual Funds Data providers. These financial ratios are then used to measure the performance and returns of each fund and assign a mutual-funds open-datasets git-scraping pricing-information indian-finance sqlite-dataset. - Very high risk The Mutual Fund Recommendation System is a machine learning-based project designed to recommend mutual funds tailored to individual users based on their demographics and investment goals. The industry continues to grow, indicating that investors value the professional management and investment strategies offered by these funds. This, however, poses a This is very specific on the dataset. Statistics come from the Investment Company Institute (ICI). s. Categories. The purpose of this project is to analyze the performance of a diverse set of mutual funds using Power BI, a business intelligence tool. Watchers. Ref. Return_5yr (%): The return percentage of the mutual fund scheme over 5year. Consequently, investing in healthcare Passive funds have recently surpassed active funds in terms of assets under management in U. A powerful financial data module used for pulling data from Yahoo Finance. GitHub Gist: instantly share code, notes, and snippets. 2 hours. EDI Corporate Actions Data for ETFs, listed Mutual Funds provides information on crucial event types Available for 80 countries. Read reviews and explore datasets via our data marketplace. A mutual fund recommendation system based on machine learning and data analytics overcomes this issue. In-depth data and analytics covering Industry data, Scheme Performance and Portfolio Analytics. domestic equity mutual funds. Analysts can leverage this dataset to identify trends, conduct comparative Download the dataset below to solve this Data Science case study on creating a Mutual Funds Bucket. I'm looking for a freelancer to create a dataset of the largest 250 ETFs and the largest 250 mutual funds. Don’t miss out on this Dataset Overview. This dataset contains all the information related to mutualfund in india. 71: amount in rupees crore Taking a dip into analyzing a mutual funds dataset from Kaggle. Yahoo Finance's list of top performing mutual funds, includes share price changes, trading volume, intraday highs and lows, and day charts for mutual funds posting the top performers today. Mutual funds are a popular investment choice for investors today. Forks. Each mutual fund has an Input: A dataset X ={x 1,,x N}, The number of clusters k Output: Clusters C MuTual: A Dataset for Multi-Turn Dialogue Reasoning (ACL2020) MuTual is a retrieval-based dataset for multi-turn dialogue reasoning, which is modified from Chinese high school English listening comprehension test data. Following the COVID-19 pandemic, the healthcare sector has emerged as a resilient and profitable domain amidst market fluctuations. Fetches real-time NAV (Net Asset Value) data using the MFAPI. You signed in with another tab or window. mutual-fund-nav-downloader-demo. The dataset consists of various mutual fund plans across multiple categories, including ELSS (Equity This dataset should include the fund's name, ticker, and inception date. . Easily compare funds and invest according to your specific ESG goals with Bloomberg’s objective fund-level ESG scores & analytics for over 60,000 mutual funds and 10,000 ETFs, even if funds have Mutual fund network To analyze the structure of the mutual funds, we use a network stretched edge between funds with weights for the number of common stocks in the top 10 stocks in each mutual fund. Find the right Fund Datasets: Explore 100s of datasets and databases. Industry Data. 2 DATA DESCRIPTION For the scope of this work, we used data from Lipper Global Data Feed. Something went wrong and this page crashed! Find the right ETF Datasets: Explore 100s of datasets and databases. ai 5. Twitter; Facebook; date stock_exchange_name mutual_fund_transaction orders value units notes; 28-02-2025: BSE: Total: 2541788: 34095919565. Buy & download ETF Data datasets instantly. 20250317 Latest Mar 17, The dataset encompasses information from various Indian mutual funds, offering insights into scheme details, financial parameters, performance metrics, and ratings, providing a comprehensive view of the mutual fund landscape in India. Aggregate AMC In this project I have performed analysis and prediction on 1,3,and 5 year returns on 1064 mutual funds in India. FRED: Download, graph, and track economic data. min_sip: The minimum amount required for a Systematic Investment Plan (SIP) investment in the fund. Explore and run machine learning code with Kaggle Notebooks | Using data from Mutual Funds India - Detailed . Fundhouse Data. Stars. I used to scrape monthly fund descriptions like region, cap, industry from their old html of information. Data comes from the data provided on the ICI Statistics pages, in Mutual Funds Information Visualization Dataset . The dataset encompasses information from various Indian mutual funds, offering insights into scheme details, financial parameters, performance metrics, and ratings, providing a Comprehensive web scraped data of mutual funds available in India Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. min_lumpsum: The minimum amount required for a lump sum investment in the fund. Fiscal Year mutual-funds open-datasets git-scraping pricing-information indian-finance sqlite-dataset Updated Apr 4, 2024; Python; mayurbhangale / amfibious Star 8. python api mongodb nosql pandas nav Our dataset on mutual funds has information collected on financial ratios such as Alpha, Beta, Standard Deviation, Sortino Ratio, Sharpe Ratio and R-Squared. Data of 1399 Different Mutual Funds Listed in Indian Market from the Internet. Find data from the best Mutual Funds APIs providers like Finnworlds, Tradefeeds or Exchange Data International. market portfolio made of all the mutual funds available in our dataset, which’s value over th e . Mutual Funds Data Datasets Providers APIs. Future Performance Prediction: Benchmarked multiple forecasting models (ARIMA, SARIMA, LSTM We categorize real-time investment data and mutual fund databases with a connected source of data all in one place. Key Responsibilities: - Create an Excel dataset of the largest 250 ETFs and 250 mutual funds. We extracted this self-reported The document analyzes data on mutual funds from a dataset. 7 forks. The resulting dataset, consisting of 5,014 funds and 4,917 stocks, provides a unique opportunity to This dataset contains all the information related to mutualfund in india. View Product. ai provides a marketplace where users can access and analyze this information to gain insights, compare different funds, and optimize their investment strategies. 0. Tradefeeds Mutual Funds API enables you to get comprehensive big data on mutual funds. 2 watching. Dataset: Metadata Created Date: November 12, 2020: Metadata Updated Date: October 9, 2024: Publisher: Economic and Risk Analysis: Maintainer: Open Data. db. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U. wealth builder funds, aggressive growth funds, steady income funds, and tax saver funds. I want to see if anyone has experience in scraping mutual fund descriptive data particularly Morningstar. You can search for a fund by name and view its historical NAV in a chart and also see The dataset proves invaluable for individuals interested in delving into the performance of mutual funds within the Indian financial landscape. OK, Got it. Demo. S. Similarity Matching: Maps user profiles and mutual fund attributes to a common vector space to identify the top 10 similar funds. Our API feeds packages of 100% accurate, system-ready, and up-to-date datasets and analytics (e. Getting last updated quotes for Mutual fund scheme using scheme codes. It can be Mutual Funds Information Visualization Dataset . Funds by Category. - Include fund name, ticker, and inception date. Code Issues Pull requests Discussions Portfolio Analytics. Simple dataset containing a mapping between Kuvera's Mutual Fund IDs and their ISINs. You can get the latest dataset at https://github. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to Metrics and composition of a big bag of ETFs and mutual funds. Star 11. We extracted this self-reported 42,716 mutual funds Save. It can be used in various types of projects which requires getting live quotes for a given mutual fund scheme or build large data sets for further data analytics. Problem Proposed model Compared models Dataset/Funds Performance [5] Prediction Time series-based ARIMA, DT, GBT, RF Gold price funds RMSE [6] Classification GMM K Browse +10 Top Mutual Funds APIs available on datarade. Collections. Key Responsibilities: - Create an Excel dataset of the largest 250 ETFs and 250 The CRSP Mutual Fund Database is designed to facilitate research on the historical performance of open-ended mutual funds by using survivor-bias-free data. Metrics and composition of a big bag of ETFs and mutual funds. com/captn3m0/historical-mf-data/releases/latest/funds. We Recommend Direct Index Mutual Funds Complete Mutual Fund List API Mutual Fund Name: MF API URL : MF API LATEST URL : Join Telegram. I have scraped data from a website which is the most visited website mftool is a library getting publicly available Mutual Funds data in India. Code Issues Pull requests Amfibious is a framework to gather, process and store Indian Mutual Funds data. The dataset encompasses information from various Indian mutual funds, offering insights into scheme details, financial parameters, performance metrics, and ratings, providing a comprehensive view of the mutual fund landscape in India. This Dataset contains year and month wise total amount collected through Systematic Investment Plan (SIP) in Mutual Funds mutual-funds open-datasets git-scraping pricing-information indian-finance sqlite-dataset Resources. See below for the data format. Granularity. api graphql finance mongodb We collect the data about mutual fund families and individual schemes operating in India from two disparate data sources: Association of Mutual Funds in India (or AMFI ) [4] - the association of SEBI (Securities and Exchange Board of India) India's First Free Mutual Fund API. 881 – 890 Input: A dataset X = {x1, , xN}, The number of clusters k Output: Clusters C1, · · · ,Ck dist(xi, x j): The analyzing mutual funds filing data using NLP techniques. Location Name Language Name Job Title Country Name Contact Work Email Address and 13 Data of 1399 Different Mutual Funds Listed in Indian Market from the Internet. Treasuries, and commodity futures. The Mutual Funds API is a format of obtaining data on real-time and historical mutual funds including equity (stock) funds, bond (fixed-income) funds, growth funds, balanced funds and money market funds. Data get's updated every day. Morningstar Performance Rating Overall. analyzing mutual funds filing data using NLP techniques. Aggregate Industry Trends from Inflows to AUM to Folios to Schemes and others. The majority type of funds in the dataset are open-end mutual funds, but there are also a small fraction of ETFs, hedge funds, money market funds fiscal_year fund_house amount unit; 2023-24: 360 ONE Mutual Fund: 2870. Feedback . Popular collections. The clustering of simulated and real datasets with this approach has been shown to be more robust in the convergence toward the optimal partition than standard Return_1yr (%): The return percentage of the mutual fund scheme over 1 year. Verified Global Profiles from 700M+ Dataset | Best Price Guarantee by Success. European Funds dataset from Morningstar|金融投资数据集|基金分析数据集 ### Content The file contains 57,603 Mutual Funds and 9,495 ETFs with general aspects (as Total Net Assets, management company and size), portfolio indicators (as cash, stocks, bonds, and sectors), returns (as year_to_date, 2020-11) and financial ratios (as I'm looking for a freelancer to create a dataset of the largest 250 ETFs and the largest 250 mutual funds. Filter by Clear all. Many interpret this victory of passive management as a result of the persistent inability of the average active manager to outperform cheaper passive alternatives (Gittelsohn, 2019). FactSet's mf_fund_coverage is the cornerstone of mutual fund data, meticulously compiled from a vast array of global regulatory filings, fund prospectuses, and This table contains data on mutual funds in the market since 2006, including information on scheme codes, names, fund houses, types, categories, net asset values, and dates. The data contains over 15,000 funds, 5+ years of history, 700,000 securities, and 65,000,000 positions. including our core investments across open and closed end funds, models and The dataset of mutual funds studied in this paper is a subset of a larger dataset that comprehends the Morningstars information of 57,603 mutual funds and 9495 ETFs from 2011 to 2020 (Leone 2021). Included are: Equity funds; Taxable and municipal bond funds; SHoF Fund Data is a dataset containing detailed historical data of more than 9,000 investment funds that are available for sale in the Nordic countries, including Sweden, Norway, Denmark, Finland. Reload to refresh your session. A classification algorithm for mutual funds style analysis is proposed, which combines different statistical techniques and exploits information readily available at low cost. Monthly net new cash flow by US investors into various mutual fund investment classes (equities, bonds etc). Readme Activity. Datasets Filters. Something went wrong and this page Processes mutual fund data extracted from Kaggle datasets. This dataset should include the fund's name, ticker, and inception date. The system analyzes user data, evaluates mutual fund performance, and provides personalized recommendations with a focus on maximizing future returns. fund, market, index, ESG and smart) for ETFs/ETPs/ETCs and any other product traded on global exch Contact Provider. Learn more Find the right Mutual Funds Datasets: Explore 100s of datasets and databases. 本文演示了在云器 Lakehouse 上处理 Kaggle 数据集中的 SQL Mutual Fund Performance 代码的过程，包括 SQL 特点与复杂度分析、作业迁移、数据标注等。因为简单，所以美好，让更多数据爱好者更顺利的玩转数据。 关于Kaggle上的SQL Mutual Fund Performance Contribute to NVukobrat/US-Mutual-Funds-and-ETFs-Analysis development by creating an account on GitHub. fund_size_cr: The size of the fund in By offering databases and datasets of mutual funds data India, datarade. g. This dataset consists of 29 attributes which are fund risk grade, fund return grade, investment objective, standard deviation, Sharpe ratio, Sortino ratio, beta . Three main features of mutual funds data are provided. 24 stars. Something went wrong and this page crashed! If the issue Mutual funds are popular investment vehicles that aim to generate returns above market averages. You switched accounts on another tab or window. We used all U. 23k+ Mutual Funds and 2k+ ETFs scraped from Yahoo Finance. Get complete history of India Mutual Funds Data Over JSON API for Free. A mutual fund is a financial instrument that distributes revenue gained by entrusting the management of funds collected from individuals to a specific expert, according to their contribution amounts. The data is extracted from exhibits to mutual fund prospectuses tagged in eXtensible Business Reporting Language (XBRL). - 57k+ Mutual Funds and 9k+ ETFs scraped from Morningstar. Features. Key findings include: - Debt funds have the highest average returns and lowest risk levels compared to other categories like equity and hybrid funds. This data offers opportunities for investment research, portfolio analysis, and market intelligence. The Mutual Fund Prospectus Risk/Return Summary Data Sets provides text and numeric information extracted from the risk/return summary section of mutual fund prospectuses. A total of 111 variables were used before pre-processing. domiciled open-end mutual funds and ETFs. Learn more. Updated Mar 10, 2025; Python; wilsonleong / PortfolioAnalytics. Mutual Funds Coverage. back testing period is displayed on Figure 19. ai. - lnovitz/mutual-funds You signed in with another tab or window. zst. Key Words: Mutual funds, Clustering models, K-means, DBSCAN, Hierarchal, Agglomerative 1. Each dataset includes all historical NAVs at all known times for a given mutual fund. Why did I create this? I felt the need of working with some historical NAV data to find any patterns, this was for a big data project Mutual Fund Analytics. Individual investors often lack skills to invest in the Public datasets are scarcely available for the use-case. Search results for "mutual funds" : 18 dataset. The information is presented without change from the 数据输入 & Excel Projects for ₹100 - ₹400. Preview data samples for free. - captn3m0/kuvera-mutual-funds-lookup 1,785 economic data series with tag: Mutual Funds. We calculated the annualised Sharpe ratios based on the monthly returns time series data for more than 600 open-end mutual funds investing in listed large-cap equities in the United States. The database currently contains complete historical information for over 64,000 open-ended funds of which more than 33,000 are active and over 31,000 are delisted. mp4. mftool is a library for getting publically available Mutual Funds data in India. Year and Month wise total number of outstanding SIP accounts, number of new SIPs registered, number of SIPs discontinued/tenure completed, SIP Assets Under Management, SIP contribution Association of Mutual Funds of India. The CRSP Survivor-Bias-Free US Mutual Fund Database includes a history of each mutual fund’s name, investment style, fee View all AMFI Quarterly Data on mutual fund investments and mutual fund performance from April 1999 to today. njq qpqtz ebt dzlkl lhac ugj ntgus ypq trlhikec nmprst purnat seuwb econk wcn ttlwdkj