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Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
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
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Tutorials for SimFin - Simple financial data for Python
🍊 🎓 Educational widgets for machine learning and data mining in Orange 3.
An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
All scripts are in python language to trade in zerodha using algorithms.
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…
Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Financial Data Extraction from Investing.com with Python
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for b…
A program for financial portfolio management, analysis and optimisation.
Official Python Package for Algorithmic Trading APIs powered by AlgoBulls
The package with scripts for semantic analyser project
Base widget and workflow definitions for Orange
Many market analysts believe that predicting market’s stocks fluctuations is nearly impossible to achieve due to the number of variables involved, especially since many of these variables are based…
A script which parses Morning Star for key financial ratios and company accounts for all companies in the stock index using Good Morning repo
Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.
Simple and effective method to do fundamental analysis of stocks
Downloads company financial data, analyzes it and recommends stocks based on fundamental analysis
Analyze stocks like Warren Buffet and Benjamin Graham
Data miner and stocks analysis for NIFTY 50 companies listed on the NSE (National Stock Exchange - India)
This repository contains a stock (from 5 different sectors from NSE, India) clustering model based on various parameters with and without PCA. It also has effective frontier calculation applied for…
In www.moneycontrol.com, various recommenders post recommendations on the buy, sell and hold decisions of various stocks. This project was aimed to evaluate the performance of the recommenders over…
In finance stock trading is one of the most important activities. Stock market prediction is an act of trying to determine the future value of a stock other financial instrument traded on a financi…