Math Techniques viz. ARIMA, Frequency Decomposition, Fourier Filtering, Linear Regression & Bi-directional LSTMs on Feature Engineered Stock Market Data.
☆27Feb 22, 2020Updated 6 years ago
Alternatives and similar repositories for Algo-Trading-Math-Models
Users that are interested in Algo-Trading-Math-Models are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆15Aug 9, 2021Updated 4 years ago
- In this project two models are build a Multivariate CNN-LSTM model using keras and tensorflow, ARIMA model, and FbProphet. In multivariat…☆27May 7, 2026Updated last month
- 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
- High Frequency Trading Strategy☆12Dec 20, 2018Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM varia…☆20Jan 29, 2026Updated 4 months ago
- Find trading pairs with Machine Learning☆40May 26, 2021Updated 5 years ago
- Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python☆26Aug 3, 2021Updated 4 years ago
- LSTM stock prediction and backtesting☆14Jan 11, 2020Updated 6 years ago
- Date of Concorde In January of the year 1976 after 29 years of the first to penetrate to the speed of sound military aircraft jet - Two C…☆10Feb 11, 2017Updated 9 years ago
- This project is a Python-based trading simulator that allows users to simulate trading strategies, manage an order book, and interact wit…☆31Aug 13, 2025Updated 9 months ago
- Optimizing the Pairs-Trading Strategy using Deep Reinforcement Learning with Trading and Stop-loss Boundaries☆12Dec 12, 2021Updated 4 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆30Aug 28, 2018Updated 7 years ago
- Linear Algebra for Machine Learning Book Exercises☆13May 19, 2019Updated 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.
- 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
- 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
- ARIMA & GARCH models for stock price prediction☆27Sep 13, 2020Updated 5 years ago
- Phd repo☆18Jul 14, 2022Updated 3 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
- A unique time series library in Python that consists of Kalman filters (discrete, extended, and unscented), online ARIMA, and time differ…☆34Oct 23, 2017Updated 8 years ago
- Explore TESLA stock price (time-series) using ARIMA & GARCH model.☆20Oct 20, 2021Updated 4 years ago
- Time series data similarity matching based on Fourier Transform and Wavelet Transform.☆10Apr 2, 2021Updated 5 years ago
- World Model for Natural Gas Trade☆11Feb 8, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12May 29, 2021Updated 5 years ago
- Develop about 200 alpha factors from securities report etc, Grid Search/Random Search/Particle Swarm Optimization to improve factors perf…☆23Jul 29, 2018Updated 7 years ago
- quantitative technical analysis in clojure☆17Mar 4, 2025Updated last year
- Methods for creating watershed discretizations for use in hydrological modeling or analysis. Examples use the SUMMA modeling Framework.☆12Mar 29, 2024Updated 2 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆24Dec 12, 2021Updated 4 years ago
- Urban flood modeling and forecasting with deep neural operator and transfer learning (https://doi.org/10.1016/j.jhydrol.2025.133705)☆18Sep 22, 2025Updated 8 months 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
- AutoQuant is an out-of-the-box quantitative investment platform.☆20Aug 1, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 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
- An MCP sse implementation of the Model Context Protocol (MCP) server integrated with SearXNG for providing AI agents with powerful, priva…☆22May 19, 2025Updated last year
- Rep tho share codes and projects from the Artificial Intelligence for Trading Algorithms course @Udacity.☆14Jul 6, 2023Updated 2 years ago
- Back test and trade harmonic patterns on Deribit☆10Jan 20, 2020Updated 6 years ago
- P2P Energy trading platform built on top of Ethereum and Chainlink☆13Jun 10, 2023Updated 3 years ago
- Library for automated signal segmentation, trend classification and analysis.☆33Apr 19, 2026Updated last month
- The work develops a multi-step time series load forecasting model that predicts daily power consumption for the upcoming week based on hi…☆26Jul 28, 2024Updated last year