Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial world. Indeed, financial time series, due to their widerange application fields, have seen numerous studies being published for their prediction. Some ofthese studies aim to establish whether there is a strong …
☆22Jun 12, 2021Updated 4 years ago
Alternatives and similar repositories for Stock-trends-prediction-with-macroeconomic-indicators
Users that are interested in Stock-trends-prediction-with-macroeconomic-indicators are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Gold Price Prediction using CNN-LSTM and CNN-GRU model: We have built univariate and multivariate CNN-LSTM, CNN-GRU and many variants of …☆16Dec 16, 2021Updated 4 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
- ☆11Oct 24, 2025Updated 7 months ago
- Reinforcement Learning framework to make synthetic experiments in the financial domain☆23Jul 18, 2023Updated 2 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Jun 15, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A novel stock market trend forecasting system using fuzzy logic☆13Oct 31, 2020Updated 5 years ago
- Designing a Machine Learning algorithm to predict stock prices is a subject of interest for economists and machine learning practitioners…☆20May 4, 2021Updated 5 years ago
- Forecast of World's CO2 Emissions using ARIMA and LSTM Models☆10Nov 7, 2022Updated 3 years ago
- This repository is for my master's project, A Survey of Deep Learning Architectures for Algorithmic Cryptocurrency Trading, delivered on …☆10Nov 30, 2022Updated 3 years ago
- The project is an attempt to implement the paper Content Based Image Retrieval using Color Difference Histogram by Guang-Hai Liu et all. …☆13Dec 16, 2020Updated 5 years ago
- Weight of Evidence，基于iv值最大思想求最优分箱☆15Oct 24, 2019Updated 6 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 6 years ago
- Pytorch implementation of deep learning models for financial time series forecasting using LOB☆21May 25, 2023Updated 3 years ago
- asimkymk / Stock-Market-Trend-Forecasting-Using-Explainable-Artificial-Intelligence-and-Multi-FactorAims to develop a comprehensive framework for predicting stock market trends by combining traditional time series analysis with multi-fac…☆12May 29, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Blaze☆17Jun 19, 2021Updated 4 years ago
- ☆12May 29, 2021Updated 5 years ago
- Project for Elective in Robotics: Control of Multi-robot system, Univ. La Sapienza Roma, 2020.☆11Jan 25, 2021Updated 5 years ago
- Code for abstracting, evaluating, and visualizing Markov Decision Processes.☆10Jan 12, 2017Updated 9 years ago
- ☆10Feb 12, 2020Updated 6 years ago
- Modern C++ order matching engine☆13Nov 1, 2025Updated 6 months ago
- ☆13Apr 21, 2021Updated 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
- Stock selection and portfolio performance based on ESG Scores☆14Mar 16, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Crowd-sourced links for economists, esp. in financial economics with computational interests.☆24Jan 20, 2019Updated 7 years ago
- A bonding curve factory for simple and easy dynamic bonding curve creation.☆10Jan 24, 2023Updated 3 years ago
- A Python-based network model of worldwide air transportation for cancellation and quarantine testing.☆10May 17, 2014Updated 12 years ago
- 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 4 years ago
- Futures are contracts to buy and sell commodities on a future date at a specified price. Corporations can use futures to hedge against pr…☆20Sep 25, 2017Updated 8 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…☆16Sep 28, 2022Updated 3 years ago
- Autonomous emergency braking system for pedestrian avoidance☆16Apr 3, 2020Updated 6 years ago
- S&P500 Stock Index Movement Forecastor with various Statistical and Machine Learning Models☆18Mar 25, 2023Updated 3 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆59Dec 29, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Autonomous intersection management system implemented by Virtual Platooning algorithm☆12Jul 28, 2019Updated 6 years ago
- A Flask based Web Application that Predicts the Flight Price using RandomForestRegressor.Its GUI is based on Swagger API. This is hosted …☆11Mar 20, 2021Updated 5 years ago
- This is a macro database of 570.000+ data series containing International Data (150+ countries), Interest Rates, Inflation, Monetary Data…☆15Apr 11, 2022Updated 4 years ago
- Predicts the CAISO day-ahead market hourly prices using different forecasting methods including ARIMA and LSTM.☆26Jun 17, 2020Updated 5 years ago
- In this work, we implement different cross-modal learning schemes such as Siamese Network, Correlational Network and Deep Cross-Modal Pro…☆11Aug 23, 2021Updated 4 years ago
- This program makes predictions for 3 datasets by using an implementation of the K-means algorithm both from scratch and the sci-kit learn…☆11Apr 5, 2021Updated 5 years ago
- Capstone Research Project in NYU Courant☆12Jan 3, 2020Updated 6 years ago