philipperemy / fractional-differentiation-time-seriesLinks
As described in Advances of Machine Learning by Marcos Prado.
☆121Updated 2 years ago
Alternatives and similar repositories for fractional-differentiation-time-series
Users that are interested in fractional-differentiation-time-series are comparing it to the libraries listed below
Sorting:
- Implementation of Monte Carlo Optimization Selection from the paper "A Robust Estimator of the Efficient Frontier"☆57Updated last year
- ☆194Updated 5 years ago
- Probability of Backtest Overfitting in Python☆126Updated 2 years ago
- Probabilistic Sharpe Ratio example in Python (by Marcos López de Prado)☆127Updated 4 years ago
- Depricated repo. Please refer to mlfinlab☆113Updated 5 years ago
- Materials for blogs and conferences☆69Updated 4 years ago
- Fast and scalable construction of risk parity portfolios☆304Updated last year
- Reinforcement Learning for Automated Trading☆88Updated 8 years ago
- Demo for the application of RL to non-stationary effects☆45Updated 4 years ago
- ☆73Updated 3 years ago
- Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-40…☆56Updated 5 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 2 years ago
- Source code for the blog post on the evolution of the asset allocation methods☆214Updated 5 years ago
- Bayesian models to compute performance and uncertainty of returns and alpha.☆110Updated 2 years ago
- ☆149Updated 5 years ago
- Scikit-learn style cross-validation classes for time series data☆278Updated 3 years ago
- ☆114Updated last year
- Estimation of the lead-lag parameter from non-synchronous data.☆126Updated 2 months ago
- ☆200Updated 2 years ago
- Master repository for the pandas-ml modules☆163Updated last year
- trend / momentum and other patterns in financial timeseries☆266Updated 3 years ago
- Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial…☆319Updated last year
- Code base for the meta-labeling papers published with the Journal of Financial Data Science☆81Updated 2 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- 🚂💨 Deep Momentum Networks for Time Series Strategies☆119Updated 5 years ago
- Transformers for limit order books☆114Updated 4 years ago
- Pair Trading Strategy using Machine Learning written in Python☆119Updated 3 years ago
- Advances in Financial Machine Learning by Marcos Lopez De Prado☆54Updated 6 years ago
- Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…☆87Updated 5 years ago
- An Structural Application of Reinforcement Learning in Pair Trading☆9Updated last year