Transparent and Efficient Financial Analysis
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Updated
Jun 6, 2024 - Python
Transparent and Efficient Financial Analysis
Investment portfolio and stocks analyzing tools for Python with free historical data
Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.
Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.
Code examples for using the Nordnet External API v2
Entropy Pooling in Python with a BSD 3-Clause license.
Python Wrapper for Alphavantage API
📈 A streamlit web app for retrieving and analyzing financial data for a stock ticker.
XIRR (using Python) to calculate return on investments done at different time periods which need not be periodic.
A simple script that takes all the ETFs listed on the JustETF website and parses thaem in an easy to navigate format
Investment strategy on NAFTRAC, which is an ETF (Exchanged Traded Fund), which replicates the index of the Mexican Stock Exchange
Linux widget for tracking the status of the investment portfolio in Tinkoff Investments (coursework)
该工具主要用于量化投资领域,可简便的实现在实时行情数据上的因子计算。
Useful functions for portfolio construction and risk management
OSINT, Pentesting and Invester Tool for gathering information about post codes
Artificial Neural Network - Corporate Investment Grade Bond Rating
This program is meant to be used as a helper for investors when making decisions related to investments into cryptocurrencies. This program relies heavily on the current trends of cryptocurrencies and gives advice on whether to invest or withdraw cryptocurrencies into flat currency. The method used to measure whether the trend is going upwards o…
Tools to help improve trading or investing experience!
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