fundamental-analysis
There are 83 repositories under fundamental-analysis topic.
twopirllc/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
bukosabino/ta
Technical Analysis Library using Pandas and Numpy
JerBouma/FinanceDatabase
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
zvtvz/zvt
modular quant framework.
JerBouma/FinanceToolkit
Transparent and Efficient Financial Analysis
foolcage/fooltrader
quant framework for stock
lit26/finvizfinance
Finviz analysis python library.
LastAncientOne/SimpleStockAnalysisPython
Teaches step-by-step to analysis stock data in python.
JerBouma/FundamentalsQuantifier
A tool that allows you to visually compare the fundamentals of over 6,000 companies.
devfinwiz/Fin-Maestro-Web
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.
faizancodes/Automated-Fundamental-Analysis
Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.
AlainDaccache/Quantropy
Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.
Manudecara/Algo-Trading
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
AI4Finance-Foundation/FinML
FinML: A Practical Machine Learning Framework for Dynamic Stock Selection
gandalf1819/Stock-Market-Sentiment-Analysis
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
ivopetiz/crypto-database
Database for crypto data, supporting several exchanges. Can be used for TA, bots, backtest, realtime trading, etc.
wshobson/financial-chat
A financial chat application powered by LangChain, OpenBB, and Claude 3 Opus.
devfinwiz/Stock_Screeners_Raw
This repository enables traders/investors to spot undervalued stocks automatically in the market efficiently to help them maximise their profits.
hjones20/fundamental-analysis
Screen stocks on fundamentals and estimate their intrinsic value
EodHistoricalData/EODHistoricalData.Wrapper
C# Wrapper for EOD Historical Data. Financial Data APIs.
kafkasl/hpc.fassr
High-Performance Computing. Fundamental Analysis Stock Screener and Ranker
nikhils10/Time-Series-Forecasting-Apple-Stock-Price-Using-SARIMA-Prophet
Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots to identify Moving average and Auto-regressive order of series. Transformed series to make it stationary.
janithmehta/StockMarketPrediction
This is a webapp which predicts stock prices for Indian stock markets(can be used for other stock markets as well) using both fundamental and technical analysis
austin-starks/ta-rs-improved
Technical analysis library for Rust language
gtmray/Portfolio-Management-System
A Database Management System(DBMS) project on stock market portfolio management system which also consists of scrib suggestion by analyzing fundamental and technical signals.
visuxls/tipranks
Python module to interact with TipRanks API.
hristo-mavrodiev/yahoostats
Webscrape stock statistic data from: yahoo finance, reuters, morningstar, zacks.
rtkg12/DeepBuffett
Applying Deep Learning techniques to build neural networks for automated fundamental analysis of equities from quarterly (10-Q) and annual (10-K) financial reports.
LeonardoEmili/stock-price-forecasting
Distributed stock price forecasting system to predict S&P 500 stock prices.
ananya173147/Stock-Recommendation-Dashboard
A dashboard for helping beginners identify trading opportunities through technical analysis, fundamental analysis, and possible future projections.
aagjalpankaj/funalysis
Simple and effective method to do fundamental analysis of stocks
Abdulla-hamideh/tracking-couple-of-favorite-stocks-using-yfinance-library
Fundamental analysis using python
OliverHennhoefer/quant
UNMAINTAINED | R-package providing access to fundamental data and valuation metrics for thousands of publicly traded companies worldwide.
shubhammandhare10/Fundamental-Stock-Analysis-and-Tableau-Visualization
Visualization of Data in Tableau to Perform Fundamental Analysis of S&P 500 Stocks using Financial Ratios that measure Valuation, Profitability, Liquidity and Dividend Yield.