Gold Price Prediction using CNN-LSTM and CNN-GRU model: We have built univariate and multivariate CNN-LSTM, CNN-GRU and many variants of LSTM, GRU, ARIMA, SARIMAX, SVR and feed-forward neural network to forecast next week gold price in INR. We used global indices like S&P 500, Nifty50, many macroeconomics data like GDP per capita, GNI per capita…
☆15Dec 16, 2021Updated 4 years ago
Alternatives and similar repositories for GoldPrice-forecasting-CNN-LSTM-basedon-IndiaMacroEconomicData
Users that are interested in GoldPrice-forecasting-CNN-LSTM-basedon-IndiaMacroEconomicData are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆22Jun 12, 2021Updated 4 years ago
- ☆16Feb 25, 2020Updated 6 years ago
- Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification☆15May 5, 2022Updated 3 years ago
- Forecast of World's CO2 Emissions using ARIMA and LSTM Models☆10Nov 7, 2022Updated 3 years ago
- The basis of this project involves analyzing Amgen future profitability based on its current business environment and financial performan…☆12Jul 26, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Forecasting exchange rates by using commodities prices☆10Oct 15, 2021Updated 4 years ago
- In this repository, I have used ARIMA,SARIMA,AutoArima,ANN,CNN and LSTMs for time series modelling and Anomaly detection has been done us…☆12Feb 8, 2021Updated 5 years ago
- This contains our project for the course Data Mining, titled Stock Market Predictor. The project applies various Models (such as ARIMA, S…☆12Apr 21, 2020Updated 5 years ago
- Forecasting the spread of the novel coronavirus☆10Mar 1, 2024Updated 2 years ago
- ☆17Jan 20, 2022Updated 4 years ago
- Analyzing different stocks listed on the NASDAQ stock market☆13Dec 5, 2020Updated 5 years ago
- ☆12May 29, 2021Updated 4 years ago
- This is a Time Series repository were I store the many functions I use to create Time Series Forecasts☆16Dec 15, 2020Updated 5 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆15Aug 9, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This repository relates to the paper "Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Oppor…☆22Jul 19, 2021Updated 4 years ago
- ☆14Apr 21, 2021Updated 4 years ago
- In this project, I used least-square support vector machines (LS-SVM) for classification, function estimation, times-series prediction an…☆15May 14, 2016Updated 9 years ago
- Covid-19 India's statewide analysis with census data 2011 and Kaggle data☆16Sep 20, 2020Updated 5 years ago
- This project includes following repositories Presentation Machine Learning algorithms like Prophet, ARIMA, XGBoost, LSTM and Seq2Seq☆16Nov 18, 2019Updated 6 years ago
- Develop the time series recurrent neural network algorithms using LSTM and ARIMA in order 1) to forecast oil production of existing wells…☆12Apr 22, 2020Updated 5 years ago
- The work develops a multi-step time series load forecasting model that predicts daily power consumption for the upcoming week based on hi…☆25Jul 28, 2024Updated last year
- Undergradute final project with ARIMA,LSTM,GRU,Xgboost and DeepTTE.毕业论文代码库合集，包括基于ARIMA,LSTM,GRU进行时间序列预测，基于DeepTTE解决ETA(estimated time of …☆21May 21, 2022Updated 3 years ago
- Forecasting future sales of a product offers many advantages. Predicting future sales of a product helps a company manage the cost of man…☆17Sep 28, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- S&P500 Stock Index Movement Forecastor with various Statistical and Machine Learning Models☆18Mar 25, 2023Updated 3 years ago
- This project seeks to utilize the Deep Learning model, Long-Short Term Memory (LSTM) Neural Network algorithm, Time Series Models, ARIMA …☆13Aug 23, 2020Updated 5 years ago
- This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…☆17May 1, 2019Updated 6 years ago
- Predicts the CAISO day-ahead market hourly prices using different forecasting methods including ARIMA and LSTM.☆26Jun 17, 2020Updated 5 years ago
- this project is to implement different deep learning architectures and evaluate them based on their performance on the hour-ahead electri…☆28Apr 3, 2021Updated 5 years ago
- Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM varia…☆19Jan 29, 2026Updated 2 months ago
- We propose using Probabilistic Graphical Models such as Bayesian Networks and Hidden Markov Models to construct a global-macro trading st…☆13Apr 28, 2018Updated 7 years ago
- Support Vector Machine Stock Market Prediction☆19Jan 2, 2019Updated 7 years ago
- 这一篇notebook是关于我写的毕业论文的整个过程的方法和总结，包括了我在写论文时的一些感悟和体验。☆19Apr 5, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Contains Python code for downloading socio-economic data from Quandl and using it to forecast real-GDP growth rates in countries.☆15Apr 30, 2015Updated 10 years ago
- Parses historical and current CFTC Commitments of Traders reports into easy-to-use pandas dataframes☆40Jul 30, 2025Updated 8 months ago
- Stacking a machine learning ensemble for multivariate time series forecasting, with the goal of predicting the one-period ahead PM 2.5 ai…☆43Oct 30, 2025Updated 5 months ago
- A Long/Short Global Macro Strategy based on French Fama 3-Factor Model with a target beta term. We evaluate its sensitivity to variation …☆17Nov 10, 2021Updated 4 years ago
- IMF World Economic Outlook Database Data☆44Oct 25, 2024Updated last year
- Python script to scrape a stock's historical earnings report dates from the SEC's website and put them into a CSV☆13Apr 27, 2017Updated 8 years ago
- predicting US Federal interest rate changes using the text of Fed press releases☆15Jul 1, 2023Updated 2 years ago