Nikhilkohli1 / Stock-Prediction-Portfolio-OptimizationView external linksLinks
A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.
☆97Aug 12, 2024Updated last year
Alternatives and similar repositories for Stock-Prediction-Portfolio-Optimization
Users that are interested in Stock-Prediction-Portfolio-Optimization are comparing it to the libraries listed below
Sorting:
- ☆11Oct 24, 2025Updated 3 months ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆10Apr 8, 2020Updated 5 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆78Dec 13, 2020Updated 5 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12May 30, 2021Updated 4 years ago
- Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. KDD 2019.☆23Aug 26, 2020Updated 5 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56May 3, 2021Updated 4 years ago
- I use a LSTM ( long short term memory model) model to predict the fluctuations of VIX index ( the index of 50ETF options), and trade t…☆14Apr 25, 2019Updated 6 years ago
- The code for Fuzzy Investment Counselor (FIC) and Markowitz portfolio theory for stock investment☆14Sep 2, 2020Updated 5 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆47Apr 12, 2019Updated 6 years ago
- ☆14Aug 5, 2020Updated 5 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆25Mar 29, 2024Updated last year
- 【Framework】A Multi Factor Strategy based on XGboost, its my homework project in Tsinghua, the Introduction to Quantitative Finance, 2019 …☆17Dec 17, 2022Updated 3 years ago
- Financial Analysis and Algorithmic Trading Strategies in Python☆11Feb 16, 2023Updated 3 years ago
- ☆15May 28, 2022Updated 3 years ago
- some interest rate models such as Vasicek and dynamic Nelson-Siegel model☆17May 26, 2020Updated 5 years ago
- The Adaptive Multi-Factor (AMF) asset pricing model with the Groupwise Interpretable Basis Selection (GIBS) algorithm.☆10Dec 12, 2021Updated 4 years ago
- Machine Learning Project applied to stock market portfolio optimization☆35Jan 21, 2021Updated 5 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Nov 30, 2017Updated 8 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆33Oct 12, 2020Updated 5 years ago
- Deep learning models for high-frequency financial data (limited order book)☆19Apr 2, 2019Updated 6 years ago
- This is a web app that forecasts the High and Low of the stocks, built using streamlit, and based on statsmodels, sklearn, and sktime.☆12Nov 19, 2021Updated 4 years ago
- Alpha mining with DEAP-based genetic programming.☆11Jul 7, 2023Updated 2 years ago
- ☆10Jul 21, 2019Updated 6 years ago
- ☆10Dec 5, 2017Updated 8 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆23Dec 12, 2021Updated 4 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Mar 12, 2021Updated 4 years ago
- Deep Reinforcement Learning for Portfolio Optimization☆130Apr 17, 2020Updated 5 years ago
- Visualization of the full depth of the order book along time☆21Dec 17, 2019Updated 6 years ago
- 一个开源的量化交易项目。使用python（jupyter）☆10Dec 16, 2024Updated last year
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 5 years ago
- Automated Exploration Data Analysis on a financial dataset☆40Aug 12, 2024Updated last year
- Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.☆11Nov 11, 2020Updated 5 years ago
- Time Series analysis with Python and ARIMA model to forecast Bitcoin price☆24Sep 5, 2018Updated 7 years ago
- Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…☆22Nov 3, 2020Updated 5 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆29Oct 21, 2019Updated 6 years ago
- Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficu…☆15Sep 2, 2020Updated 5 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Apr 4, 2019Updated 6 years ago
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Dec 11, 2022Updated 3 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