legendkong / CityOfLifeLinks
A gamification solution for ESG stock portfolio ratings. π²π
β19Updated 3 years ago
Alternatives and similar repositories for CityOfLife
Users that are interested in CityOfLife are comparing it to the libraries listed below
Sorting:
- I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Aβ¦β60Updated 5 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial wβ¦β21Updated 4 years ago
- A dataset of financial news is used to fine-tune BERT in order to extract investment opportunities.β25Updated 4 years ago
- Univariate_ARIMA_models, ARCH/GARCH Volatility Forecasting models, VAR model for macro fundamentals forecastsβ13Updated 4 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models oβ¦β96Updated last year
- Jupyter Notebooks Collection for Learning Time Series Modelsβ73Updated 5 years ago
- Source code for Multicriteria Portfolio Construction with Pythonβ30Updated 4 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time serβ¦β21Updated 8 years ago
- Portfolio optimization package in Python.β16Updated 5 years ago
- Modelling Connectedness of Firms in Financial Markets with Heterogeneous Agentsβ22Updated 6 years ago
- A digital twin (python) for water quality monitoring (wqm)β15Updated 2 years ago
- Stock market forecasting using the ARIMA model.β50Updated 4 years ago
- β14Updated 5 years ago
- Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develoβ¦β11Updated 5 years ago
- Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlowβ33Updated 2 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivityβ¦β48Updated 7 years ago
- This repository contains demo code of basic digital twin systemβ14Updated 4 years ago
- An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter noβ¦β15Updated 4 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTMβ29Updated 5 years ago
- LSTM for time series forecastingβ28Updated 7 years ago
- Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Schedulingβ24Updated 7 years ago
- Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.β77Updated 4 years ago
- Code from data science blog.β24Updated 3 years ago
- A hybrid model to predict the volatility of stock index with LSTM and GARCH-type input parametersβ27Updated 4 years ago
- β78Updated 5 years ago
- stock prediction with GAN and WGANβ104Updated 3 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US sβ¦β55Updated 4 years ago
- Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate β¦β26Updated 7 years ago
- Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peojectβ13Updated 7 years ago
- This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Analyze Big Financial Data by Yves Hilpβ¦β15Updated 7 years ago