mfriebel / waterlevel_predictionLinks
Water level prediction for a reservoir comparing uni- and multivariate models (ARIMA, Prophet, CatBoost Trees and LSTM) and assessing important features.
☆12Updated 4 years ago
Alternatives and similar repositories for waterlevel_prediction
Users that are interested in waterlevel_prediction are comparing it to the libraries listed below
Sorting:
- Multi-agent Reinforcement Learning for Liquidation Strategy Analysis. ICML 2019 AI in Finance.☆28Updated 4 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Updated 8 years ago
- Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develo…☆11Updated 5 years ago
- Processing and performing financial calculations on HFT data☆11Updated 6 years ago
- Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. KDD 2019.☆22Updated 4 years ago
- A public available dataset for using market sentiment for financial asset allocation.☆23Updated 6 years ago
- Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate …☆26Updated 7 years ago
- My approaches to Financial Forecasting Challenge by G-Research☆44Updated 6 years ago
- Use machine learning to trade bitcoin.☆10Updated 4 years ago
- Log trades of any type of security, and then get an analysis of your strategy☆12Updated 4 years ago
- Create a Model to predict movement of S&P 500 Index based on Quantitative, Qualitative and Public sentiment factors. • Natural language p…☆8Updated 7 years ago
- Apply LASSO in High-Frequency-Trading☆9Updated 6 years ago
- A project that uses machine learning techniques to build a backtesting engine for trading and to analyze stock market data and make predi…☆22Updated 7 years ago
- Notebooks based on financial machine learning.☆16Updated 2 years ago
- Portfolio optimization package in Python.☆16Updated 5 years ago
- 3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner…☆23Updated 7 years ago
- ☆81Updated 3 years ago
- In this work, the application of the Triple-Barrier Method and Meta-Labeling techniques are explored using XGBoost to develop a sentiment…☆20Updated last year
- Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market…