Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

Keon

Last update: Dec 29, 2022

Overview

DeepStock

Technical experimentations to beat the stock market using deep learning.

Experimentations

Deep Learning Stock Prediction with Daily News Headline Analysis
- An attempt to find the correlation between the daily news headlines and DJIA index.
- More explained in this slide
Automated Trading Bot using Deep Learning
- Predicting a company's stock price based only on the price history of the company.
- Recurrent Neural Networks
- Convolutional Neural Networks
- Deep Q NetWorks
- In-progress
Complex Analysis on Stock using Deep Learning
- Take multiple features into account to predict the value of a company.
- In-progress
Portfolio Management using Deep Learning
- Planned
Macro Economics Analysis
- Currency and Macro-Tracking-ETFs
- Planned

End-to-end beat and downbeat tracking in the time domain.

60 Dec 24, 2022

Implementation of the state of the art beat-detection, downbeat-detection and tempo-estimation model

The ISMIR 2020 Beat Detection, Downbeat Detection and Tempo Estimation Model Implementation. This is an implementation in TensorFlow to implement the

1 Nov 12, 2021

Predict stock movement with Machine Learning and Deep Learning algorithms

Project Overview Stock market movement prediction using LSTM Deep Neural Networks and machine learning algorithms Software and Library Requirements Th

46 Sep 13, 2022

Implementation of the bachelor's thesis "Real-time stock predictions with deep learning and news scraping".

Real-time stock predictions with deep learning and news scraping This repository contains a partial implementation of my bachelor's thesis "Real-time

0 Feb 9, 2022

Code for technical report "An Improved Baseline for Sentence-level Relation Extraction".

RE_improved_baseline Code for technical report "An Improved Baseline for Sentence-level Relation Extraction". Requirements torch = 1.8.1 transformers

74 Nov 29, 2022

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

🆕 Are you looking for a new YOLOv3 implemented by TF2.0 ? If you hate the fucking tensorflow1.x very much, no worries! I have implemented a new YOLOv

3.6k Dec 26, 2022

The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"

FOREC: A Cross-Market Recommendation System This repository provides the implementation of our CIKM 2021 paper titled as "Cross-Market Product Recomme

16 Sep 12, 2022

Using python and scikit-learn to make stock predictions

MachineLearningStocks in python: a starter project and guide EDIT as of Feb 2021: MachineLearningStocks is no longer actively maintained MachineLearni

1.3k Dec 29, 2022

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

Forecasting directional movements of stock-prices for intraday trading using LSTM and random-forest https://arxiv.org/abs/2004.10178 Pushpendu Ghosh,

270 Dec 24, 2022

Comments

Syntax Error?

I ran the news analysis model, and after entering a headline, I got this:

Traceback (most recent call last):
  File "predict.py", line 24, in <module>
    inp = input("type in today's news headline: ")
  File "<string>", line 1
    Stocks close down but post strong quarterly gains
               ^
SyntaxError: invalid syntax

Note that I used python and python 3 as well

opened by BasharAG 0

Owner

Keon

GitHub

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Stock Trading Market OpenAI Gym Environment with Deep Reinforcement Learning using Keras Overview This project provides a general environment for stoc

769 Dec 25, 2022

Use deep learning, genetic programming and other methods to predict stock and market movements

StockPredictions Use classic tricks, neural networks, deep learning, genetic programming and other methods to predict stock and market movements. Both

386 Jan 3, 2023

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

bulbea "Deep Learning based Python Library for Stock Market Prediction and Modelling." Table of Contents Installation Usage Documentation Dependencies

1.8k Jan 5, 2023

A Deep Reinforcement Learning Framework for Stock Market Trading

DQN-Trading This is a framework based on deep reinforcement learning for stock market trading. This project is the implementation code for the two pap

61 Jan 1, 2023

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

Reinforcement-trading This project uses Reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can

1.4k Dec 22, 2022

Stock-history-display - something like a easy yearly review for your stock performance

Stock History Display Available on Heroku: https://stock-history-display.herokua

1 Jan 7, 2022

Time-series-deep-learning - Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.

Stock Price Prediction Using Deep Learning Univariate Time Series Predicting stock price using historical data of a company using Neural networks for

7 Nov 27, 2022

The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation".

Cutoff: A Simple Data Augmentation Approach for Natural Language This repository contains source code necessary to reproduce the results presented in

49 Dec 22, 2022

This is the codebase for Diffusion Models Beat GANS on Image Synthesis.

3k Dec 26, 2022

Codebase for Diffusion Models Beat GANS on Image Synthesis.

128 Dec 2, 2022

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

Related tags

Overview

DeepStock

Experimentations

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End-to-end beat and downbeat tracking in the time domain.

Implementation of the state of the art beat-detection, downbeat-detection and tempo-estimation model

Predict stock movement with Machine Learning and Deep Learning algorithms

Implementation of the bachelor's thesis "Real-time stock predictions with deep learning and news scraping".

Code for technical report "An Improved Baseline for Sentence-level Relation Extraction".

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The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"

Using python and scikit-learn to make stock predictions

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

Comments

Syntax Error?

Owner

Keon

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Use deep learning, genetic programming and other methods to predict stock and market movements

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

A Deep Reinforcement Learning Framework for Stock Market Trading

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

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The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation".

This is the codebase for Diffusion Models Beat GANS on Image Synthesis.

Codebase for Diffusion Models Beat GANS on Image Synthesis.