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 3 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 7 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Jun 15, 2022Updated 4 years ago
- Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develo…☆11Apr 18, 2020Updated 6 years ago
- Designing a Machine Learning algorithm to predict stock prices is a subject of interest for economists and machine learning practitioners…☆21Aug 5, 2026Updated last week
- Stock Market Forecasting: Using Technical Indicators for Price Movement Predictions.☆16Apr 6, 2023Updated 3 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.
- LSTM Neural Network for predicting whether future price going up or not in a specific time interval☆13Feb 14, 2018Updated 8 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
- 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 7 years ago
- Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals☆13Oct 1, 2021Updated 4 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Sep 23, 2024Updated last year
- Python package for simulating Intra-day orderflow in a limit order book. Uses PyLOB (https://github.com/ab24v07/PyLOB)☆19May 21, 2013Updated 13 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- ☆14Mar 13, 2023Updated 3 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
- 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.
- Satellite parameter Interval Prediction☆11Jul 7, 2017Updated 9 years ago
- ☆12Mar 2, 2021Updated 5 years ago
- A pure Python and Numpy implementation of an LSTM Network☆13Mar 2, 2017Updated 9 years ago
- This project implements a bagging based spatio-temporal regression model for wind power forecasting.☆13Apr 2, 2018Updated 8 years ago
- LSTM, CNN, CNNLSTM, BiLSTM, MLP☆10Mar 2, 2018Updated 8 years ago
- Prediction Intervals with specific value prediction☆19Jan 28, 2021Updated 5 years ago
- a novel and powerful meta-heuristic algorithm☆12Dec 17, 2022Updated 3 years ago
- 有问题，在这提！☆13Sep 19, 2019Updated 6 years ago
- A Python code for semi-supervised Gaussian mixture models (ssGMM)☆18Feb 9, 2022Updated 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.
- 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 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
- LSTM神经网络预测沪深300指数及其涨跌☆44May 9, 2020Updated 6 years ago
- # Bayesian-Regression-to-Predict-Bitcoin-Price-Variations Predicting the price variations of bitcoin, a virtual cryptographic currency. T…☆23Mar 28, 2018Updated 8 years ago
- Vanilla LSTM with numpy☆20Oct 12, 2017Updated 8 years ago
- This paper studies how a machine learning algorithm can generate tactical allocation which outperforms returns for a pre-defined benchmar…☆16Dec 3, 2020Updated 5 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.☆13May 30, 2021Updated 5 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
- 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.
- ☆12Apr 17, 2021Updated 5 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆27Feb 15, 2024Updated 2 years ago
- High Frequency Trading Strategy☆12Dec 20, 2018Updated 7 years ago
- from zero to one: Deep Learning☆22Sep 7, 2021Updated 4 years ago
- ☆11Oct 24, 2025Updated 9 months ago
- ☆16Mar 24, 2023Updated 3 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