SeemaKanuri / Corn-Yield-and-Futures-Price-PredictionLinks
Futures are contracts to buy and sell commodities on a future date at a specified price. Corporations can use futures to hedge against price increases and ensure access to limited goods, but accurate prediction of future commodity values is essential for avoiding unwise purchases. Corn grain poses a special challenge because future prices reflec…
☆19Updated 8 years ago
Alternatives and similar repositories for Corn-Yield-and-Futures-Price-Prediction
Users that are interested in Corn-Yield-and-Futures-Price-Prediction are comparing it to the libraries listed below
Sorting:
- Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.☆15Updated 2 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆75Updated 6 years ago
- This project combines logistic regression, gradient boosting, and LSTMs to predict next-month returns.☆13Updated 6 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆96Updated last year
- We propose using Probabilistic Graphical Models such as Bayesian Networks and Hidden Markov Models to construct a global-macro trading st…☆12Updated 7 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆23Updated 5 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆14Updated 4 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆86Updated 4 years ago
- Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"☆36Updated 3 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆22Updated 8 years ago
- Oil Palm Growth and Yield Model☆22Updated last year
- Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationsh…☆49Updated 3 years ago
- An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter no…☆15Updated 4 years ago
- Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.☆77Updated 4 years ago
- Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…☆22Updated 5 years ago
- Regime Based Asset Allocation with MPT, Random Forest and Bayesian Inference☆25Updated 3 years ago
- Plotting the Efficient Frontier in Python. Inspired by Markowitz Modern Portfolio Theory.☆18Updated 4 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆135Updated 3 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆56Updated 4 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆58Updated 6 years ago
- Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Mod…☆40Updated 4 years ago
- Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The…☆24Updated 7 years ago
- An equity analysis on momentum factor investing.☆11Updated 7 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆45Updated 5 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆76Updated 5 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 3 years ago
- applications for risk management through computational portfolio construction methods☆43Updated 5 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 7 years ago
- Projects are developed for implementing the knowledge gained in the courses studied at World Quant University and meeting the requirement…☆31Updated 5 years ago
- This repository provides the implementation of a handful of forecasting methods in yield curve modelling.☆25Updated 4 years ago