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

Related tags

Deep Learningdeep-learningstockstock-markettechnical-experimentations
Overview

DeepStock

Technical experimentations to beat the stock market using deep learning.

Experimentations

  1. 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

  2. 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

  3. Complex Analysis on Stock using Deep Learning

    • Take multiple features into account to predict the value of a company.
    • In-progress

  4. Portfolio Management using Deep Learning

    • Planned

  5. Macro Economics Analysis

    • Currency and Macro-Tracking-ETFs
    • Planned
Owner
Keon
Keon
GitHub Repository
End-To-End Crowdsourcing

End-To-End Crowdsourcing Comparison of traditional crowdsourcing approaches to a state-of-the-art end-to-end crowdsourcing approach LTNet on sentiment

Andreas Koch 1 Mar 06, 2022
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

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A multi-mode modulator for multi-domain few-shot classification (ICCV)

A multi-mode modulator for multi-domain few-shot classification (ICCV)

Yanbin Liu 8 Apr 28, 2022
KwaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%)

KuaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%) KuaiRec is a real-world dataset collected from the recommendation log

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Video Instance Segmentation using Inter-Frame Communication Transformers (NeurIPS 2021)

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Sukjun Hwang 81 Dec 29, 2022
Dogs classification with Deep Metric Learning using some popular losses

Tsinghua Dogs classification with Deep Metric Learning 1. Introduction Tsinghua Dogs dataset Tsinghua Dogs is a fine-grained classification dataset fo

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Towards Implicit Text-Guided 3D Shape Generation (CVPR2022)

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Wafer Fault Detection using MlOps Integration

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This repo is developed for Strong Baseline For Vehicle Re-Identification in Track 2 Ai-City-2021 Challenges

A STRONG BASELINE FOR VEHICLE RE-IDENTIFICATION This paper is accepted to the IEEE Conference on Computer Vision and Pattern Recognition Workshop(CVPR

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Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data

LiDAR-MOS: Moving Object Segmentation in 3D LiDAR Data This repo contains the code for our paper: Moving Object Segmentation in 3D LiDAR Data: A Learn

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Codes for "Template-free Prompt Tuning for Few-shot NER".

EntLM The source codes for EntLM. Dependencies: Cuda 10.1, python 3.6.5 To install the required packages by following commands: $ pip3 install -r requ

77 Dec 27, 2022
Event-forecasting - Event Forecasting Algorithms With Python

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Constrained Logistic Regression - How to apply specific constraints to logistic regression's coefficients

Constrained Logistic Regression Sample implementation of constructing a logistic regression with given ranges on each of the feature's coefficients (v

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Fully Convolutional DenseNets for semantic segmentation.

Introduction This repo contains the code to train and evaluate FC-DenseNets as described in The One Hundred Layers Tiramisu: Fully Convolutional Dense

485 Nov 26, 2022
Model Quantization Benchmark

Introduction MQBench is an open-source model quantization toolkit based on PyTorch fx. The envision of MQBench is to provide: SOTA Algorithms. With MQ

500 Jan 06, 2023
Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022

Improving evidential deep learning via multi task learning It is a repository of AAAI2022 paper, “Improving evidential deep learning via multi-task le

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Implementation of SiameseXML (ICML 2021)

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Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation in TensorFlow 2

Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation in TensorFlow 2 Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexan

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[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization

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Snap Research 76 Dec 13, 2022
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection

Why, hello there! This is the supporting notebook for the research paper — Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomal

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