Riazone / Gold-Return-PredictionLinks
In this repository, I will try to build a machine learning model that can predict the return in Gold over short term windows using historical returns on other traded commodities and financial instruments.
☆46Updated 5 years ago
Alternatives and similar repositories for Gold-Return-Prediction
Users that are interested in Gold-Return-Prediction are comparing it to the libraries listed below
Sorting:
- Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, s…☆63Updated 3 months ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆92Updated 11 months ago
- Regime Based Asset Allocation with MPT, Random Forest and Bayesian Inference☆25Updated 2 years ago
- Repository of Python for Finance Cookbook, published by Packt☆86Updated 4 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆72Updated 5 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 3 years ago
- How to detect stock market crashes with topology.☆82Updated 4 years ago
- ☆73Updated 3 years ago
- Tutorials for SimFin - Simple financial data for Python☆277Updated 11 months ago
- Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks …☆73Updated 5 years ago
- Material for QuantUniversity talk on Sythetic Data Generation for Finance.☆114Updated 4 years ago
- Materials for blogs and conferences☆69Updated 4 years ago
- Alpha Generation using Data Science and Quantitative Analysis with integrated Risk Model☆46Updated 4 years ago
- ☆174Updated last year
- Probabilistic Sharpe Ratio example in Python (by Marcos López de Prado)☆127Updated 4 years ago
- Pyquant - Python modules and notebooks for stock market predictive analytics, machine learning, financial transformations and joins, plot…☆39Updated 2 years ago
- A collection of Python notebooks demonstrating the integration of AI with financial strategies.☆18Updated 6 months ago
- Using fastai and CNNs to predict stock prices☆25Updated 6 years ago
- A portfolio optimization tool with scikit-learn interface. Hyperparameters selection and easy plotting of efficient frontiers.☆57Updated last year
- SDK for the EOD Historical data API☆95Updated last year
- A tool for combining historical data with user-provided forecasts to produce Kelly optimal portfolio allocations☆84Updated 2 weeks ago
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆68Updated 11 months ago
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆63Updated 2 years ago
- WQU capstone project - short term currency trading strategy utilizing machine learning☆11Updated 2 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆74Updated 4 years ago
- ☆75Updated last year
- Contains the code for my financial machine learning articles☆49Updated 4 years ago
- Portfolio optimization with cvxopt☆40Updated 5 months ago
- Master repository for the pandas-ml modules☆163Updated last year
- Financial Library ( Economic Scenario Generator, Asset Liability Management, Pricing )☆29Updated last year