VenezianoMauro / ucema_quant_2021
☆10Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for ucema_quant_2021
- módulos de finanzas cuantitativas☆29Updated last month
- Recopilación de los mini retos del grupo de Telegram Python Para Trading (PPT)☆29Updated last year
- Microservices Stack for AlgoTrading☆63Updated last week
- Python library to connect with Matba Rofex's Rest and Websocket APIs. Market Data and Order Routing are supported.☆83Updated 4 months ago
- Repositorio del canal de Telegram - Python para Trading☆31Updated 2 years ago
- Notebooks and other files from the webinars of Python para Trading☆22Updated 4 years ago
- Dispersion Trading using Options☆26Updated 7 years ago
- Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, …☆184Updated this week
- Python client for Finnhub API☆35Updated last year
- Implements different approaches to tactical and strategic asset allocation☆26Updated last year
- ☆21Updated last year
- cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The f…☆132Updated 7 months ago
- Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.☆87Updated 6 months ago
- This repository contains the python codes as well as data files which have been included in the ML for Trading ebook☆94Updated 2 years ago
- Official Repository☆115Updated 3 years ago
- A statistical arbitrage strategy on treasury futures using mean-reversion property and meanwhile insensitive to the yield change☆73Updated 6 years ago
- Interactive Brokers TWS API -- Historical data downloader☆53Updated 6 years ago
- CS7641 Team project☆87Updated 4 years ago
- Feature Engineering and Feature Importance in Machine Learning for Financial Markets☆122Updated 9 months ago
- A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.☆121Updated 6 months ago
- ☆41Updated last year
- The pricing models and neural network representations used in part one of the paper "Empirical analysis of rough and classical stochastic…☆45Updated 2 years ago
- Investment analysis based on the Graham and Buffett value investing methodology☆40Updated 2 years ago
- Option and stock backtester / live trader☆243Updated last week
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆62Updated last year
- Source Codes for "Contrarian Trading Strategies in Python"☆73Updated last year
- Python implementation of pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, He…☆141Updated this week
- algorithmic trading using machine learning☆140Updated last year
- Visualize option prices and sensitivities☆46Updated last year
- Forex & Equities Trading Strategies using Machine Learning, Deep Learning and Statistical Techniques☆82Updated 5 years ago