Transparent and Efficient Financial Analysis
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Updated
Jun 30, 2024 - Python
Transparent and Efficient Financial Analysis
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A fully automated script to download and update NSE EOD Historical stock, index and delivery data with added features
This project involves time series analysis, examining Tesla Inc.'s (TSLA) stock performance from 2010 to 2024. Time series analysis, which studies data points collected at specific time intervals, was used to identify trends, seasonal patterns & fluctuations in Tesla’s stock prices, insights were derived from visualizations & resampling techniques.
B3 brazilian stock exchange, historical data API
R code for finance
Backend for manage a simple stock enterprise
Download market data from Yahoo! Finance's API
Discord bot created with D++/DPP. Can fetch equity data and visualize it.
Platform for NYSE & NASDAQ stocks to display RSI, P/E, P/B, EPS, CAP and candlestick chart with fibonacci + 6 latest news. This also calculates sector averages for RSI, P/E and P/B for displaying BUY | HOLD | SELL images on tables.
TrendSage aims to develop a correlation between stock and cryptocurrency predictions based on the posts or comments on Reddit and the actual market trends.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
A service that provides daily insights into BCMF by tracking their NAV and AUM
⚡ Python library for getting publically available Mutual Funds data in India
Real-time & historical data API for US stocks and options
简单易用的量化金融数据包(easy utility for getting financial market data of China)
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