HomeHarvest
github.comPython package for scraping real estate property data
- GitHub stars
- 751
- Language
- Python
- Code license
- MIT
DUCKQUANT / THE QUANT & AI DIRECTORY
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Python package for scraping real estate property data
The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then…
1.[Script Termux] -Cmatrix apt-get update apt-get upgrade apt-get install nmap apt-get install python apt-get install list apt-get install cmatrix cmatrix…
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Quantitative finance research tools in Python
chartwithupwardstrend: Python package for trend detection on stock time series data :chartwithdownwardstrend
JavaScript library to encrypt/decrypt data in JSON Web Encryption (JWE) format and to sign/verify data in JSON Web Signature (JWS) format. Leverages Browser's…
Python project for real-time financial data collection, analyzing && backtesting trading strategies
Quickly find relevant financial data (in React TypeScript + .NET API)
Download the SEC filings index from EDGAR since 1993
Securities and Exchange Commission (SEC) EDGAR database which contains regulatory filings from publicly-traded US corporations.
Production-ready K-Means clustering for Apache Spark with pluggable Bregman divergences (KL, Itakura-Saito, L1, etc). 6 algorithms, 740 tests, cross-version…
Parse XBRL filings from the SEC's EDGAR in Python
API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling,…
Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prices for the…
A python package to calculate trends in stocks, derivates(Futures & Options) using Renko, PnF, LineBreak etc
Investment portfolio and stocks analyzing tools for Python with free historical data
Open Data Catalog is an open data catalog based on Django, Python and PostgreSQL. It was originally developed for OpenDataPhilly.org, a portal that provides…
Open Data Catalog is an open data catalog based on Django, Python and PostgreSQL. It was originally developed for OpenDataPhilly.org, a portal that provides…
Bot for PancakeSwap Prediction – 26 technical indicators. Make smarter predictions with Pancake Wizard – trust math, not emotions!
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library…
A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.
a Python toolbox loads 173 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including…
A fast tick database for financial timeseries data, built on FoundationDB with simplified SQL layer
A Python package to store time series data in HDF5 files using PyTables
Python module for time series data in Redis and Mongo
A Python interface between Earth Engine and xarray for processing time series data
Markowitz portfolio optimisation (efficient frontier) in Python
This is an ongoing collection of Open Banking Data APIs for Australian deposit taking institutions.
Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.
Simple Python module for downloading fundamental financial data from financials.morningstar.com.
A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the…
The idiomatic rust implementation of the QuantLib C++ quantitative finance library
Extract financial data from the SEC's EDGAR database
D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using…