AlexChiang0208 / Stock-Investment-Robot-using-NeuralNetwork-and-MeanVarianceModelLinks
Stock-Robo-Advisor project including backtesting, simulating and practicality for future.
☆14Updated 4 years ago
Alternatives and similar repositories for Stock-Investment-Robot-using-NeuralNetwork-and-MeanVarianceModel
Users that are interested in Stock-Investment-Robot-using-NeuralNetwork-and-MeanVarianceModel are comparing it to the libraries listed below
Sorting:
- Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies…☆37Updated 4 years ago
- A pipeline to optimize a portfolio of assets and test it against unseen data.☆14Updated 5 years ago
- 'Portfolio Analysis, methods for portfolio optimization'☆24Updated 4 years ago
- Filters stocks using Magic Formula, F-score and 6-month index which enables users to find the most undervalued stocks based on financial…☆17Updated 4 years ago
- ☆20Updated 6 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆48Updated 4 years ago
- PutPremiumProcessor is a Python option screener with a custom formula to score options based on their risk to reward. I created this to f…☆19Updated 2 years ago
- This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock tr…☆29Updated 4 years ago
- A collection of various computational methods to optimize a user's investment portfolio using Modern Portfolio Theory and optimizing vari…☆41Updated 5 years ago
- Library for simulation and analysis of vanilla and exotic options☆34Updated 5 years ago
- Extensible Algo-Trading Python Package.☆20Updated 2 years ago
- ☆28Updated 4 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago
- ☆24Updated 5 years ago
- ☆28Updated last year
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆60Updated 5 years ago
- Pull price targets from IEXCloud and paper trade on Alpaca 🦙☆13Updated 4 years ago
- Optimization techniques on the financial area for the hedging, investment starategies, and risk measures☆42Updated 5 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆49Updated 5 years ago
- Scalping day trading strategy☆44Updated 5 years ago
- A library for black-scholes euro options pricing, algorithmic delta hedging, and visualization☆62Updated 5 years ago
- MV Port is a Python package to perform Mean-Variance Analysis. It provides a Portfolio class with a variety of methods to help on your po…☆11Updated 3 weeks ago
- A stock market back-tester for algorithmic trading built in Python.☆17Updated 7 years ago
- Portfolio optimization package in Python.☆16Updated 5 years ago
- Using Machine Learning for live currency trading☆37Updated 6 years ago
- Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics…☆121Updated 4 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- Research and Backtests I have been working on...enjoy☆71Updated 4 years ago
- This notebook is devoted to exploring some aspects of the Capital Asset Pricing Model (CAPM) using Python☆17Updated 6 years ago
- Algorithmic multi-greek hedges using Python☆21Updated 4 years ago