The goal of this project was to predict stock market prices using a recurrent neural network. This project was inspired by the Standford paper "Financial Market Time Series Prediction with Recurrent Neural Networks Armando Bernal, Sam Fok, Rohit Pidaparthi December 14, 2012" . Using the Standford paper as a baseline, I was able to improve and be…
☆13Jul 5, 2023Updated 2 years ago
Alternatives and similar repositories for StockMarketPredictionsWithRNN
Users that are interested in StockMarketPredictionsWithRNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 6 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
- Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develo…☆11Apr 18, 2020Updated 5 years ago
- An application of Multilayer Perceptron, Random Forest Regression and Recurrent Neural Networks (LSTM)☆14Oct 3, 2021Updated 4 years ago
- Stock prediction done using RNN and LTSM to resolve vanishing gradient problem. Dataset used is obtained from Pakistan Stock Exchange☆10Dec 6, 2018Updated 7 years ago
- 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 Market Forecasting: Using Technical Indicators for Price Movement Predictions.☆16Apr 6, 2023Updated 2 years ago
- Built a trading algorithm in Python for the Tesla stocks returning in 39% higher returns than a simple buy and hold strategy, over a peri…☆19Aug 3, 2019Updated 6 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Sep 23, 2024Updated last year
- Designing a Machine Learning algorithm to predict stock prices is a subject of interest for economists and machine learning practitioners…☆20May 4, 2021Updated 4 years ago
- Python package for simulating Intra-day orderflow in a limit order book. Uses PyLOB (https://github.com/ab24v07/PyLOB)☆17May 21, 2013Updated 12 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- 从0学习深度学习课程,跟随Andrew Ng的Coursera课程,课后根据记忆用python代码实现课程作业☆12Jan 14, 2020Updated 6 years ago
- A pure Python and Numpy implementation of an LSTM Network☆14Mar 2, 2017Updated 9 years ago
- ☆12Mar 2, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆19Feb 2, 2021Updated 5 years ago
- This project implements a bagging based spatio-temporal regression model for wind power forecasting.☆13Apr 2, 2018Updated 7 years ago
- LSTM, CNN, CNNLSTM, BiLSTM, MLP☆10Mar 2, 2018Updated 8 years ago
- Satellite parameter Interval Prediction☆11Jul 7, 2017Updated 8 years ago
- Prediction Intervals with specific value prediction☆19Jan 28, 2021Updated 5 years ago
- Deep Recurrent Neural Networks (RNNs) for Time-Series Prediction☆21Oct 24, 2017Updated 8 years ago
- Neural network based petrophysical property inversion☆11Sep 29, 2019Updated 6 years ago
- 有问题,在这提!☆13Sep 19, 2019Updated 6 years ago
- In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Ne…☆23Apr 29, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Python code for semi-supervised Gaussian mixture models (ssGMM)☆18Feb 9, 2022Updated 4 years ago
- The Adaptive Multi-Factor (AMF) asset pricing model with the Groupwise Interpretable Basis Selection (GIBS) algorithm.☆10Dec 12, 2021Updated 4 years ago
- LSTM神经网络预测沪深300指数及其涨跌☆44May 9, 2020Updated 5 years ago
- # Bayesian-Regression-to-Predict-Bitcoin-Price-Variations Predicting the price variations of bitcoin, a virtual cryptographic currency. T…☆22Mar 28, 2018Updated 7 years ago
- Interactive salt boundary picking☆14Feb 4, 2021Updated 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
- Vanilla LSTM with numpy☆20Oct 12, 2017Updated 8 years ago
- ☆12Apr 17, 2021Updated 4 years ago
- High Frequency Trading Strategy☆12Dec 20, 2018Updated 7 years ago
- 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.
- from zero to one: Deep Learning☆23Sep 7, 2021Updated 4 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆25Feb 15, 2024Updated 2 years ago
- Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/17…☆16Jan 15, 2018Updated 8 years ago
- An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The perfor …☆35Jan 18, 2024Updated 2 years ago
- Replication of "Taming the Factor Zoo: A Test of New Factors (Feng, Giglio, and Xiu, 2020, JF)"☆10Mar 4, 2024Updated 2 years ago
- Alpha mining with DEAP-based genetic programming.☆11Jul 7, 2023Updated 2 years ago
- 学习资料☆19Oct 26, 2018Updated 7 years ago