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

Overview

Stock History Display

Available on Heroku: https://stock-history-display.herokuapp.com/

The purpose

The purpose of this project is something an easy yearly review tool for your stock performance. This app will help you get a very quick and clear view of your past invesment, about whether you earn or loss, about how much you earn and loss, about when you buy-in and sell-out, about the volume in related buy/sell threade. We both know it's pretty annoying to review your Robinhood history long list and it's not clear at all.

By the help of this app, users will be able to have a better view from their past investment, and also get some feedback from it. This is super important in improving future stock market performance.

Sample result

System Structure

Steps

  • Step 1: Input stock abbreviation: By default, it is TSLA, which is the abbreviation of TESLA
  • Step 2: Copy and paste buy/sell histories from Robinhood history page, make sure you follow the format,
  • Step 3: (Optional) Choose a period: 1 year or 5 year. Also, you can choose a filter which could filter out small profit line to reduce distraction, default = 10.
  • Step 4: Click submit, then you should see buy/sell history picture attached to your stock line chart as below

Current Feature

  • Tech Stacks: Python, Flask, Html, JSON, Docker, Heroku
  • fetch Stock data from Yahoo Finance API
  • persist Stock data as file to reduce duplicated Yahoo Finance API request
  • parse history data: the personal operations history, like when you make a buy-in or sell-out transaction, this will add a datapoint into history. This app support parse data from history following Robinhood history page format. You may paste history from Robinhood history page.
  • bypass browser cache by random number naming
  • support parsing complicated transactions and generating simple buy or sell threads.
  • clear green and red view for earn and loss. 4K very high definition picture.

TODO

  • could not parse "split" in history
  • some bugs when parsing Nvidia data
  • try to improve definition to 4k
  • add this one to google sheet auto request
  • beautify the code
  • add title, introduction and github links into web app Metrics:
  • display total profit from the stock
  • display total transactions in this stock
  • max, avg, min hold days
  • max, avg, min profit statistics regarding the thread transactions

Future

  • Redis Cache
  • MySQL storage
  • support personal accounts, and support google login in
  • better de-deplicate mechanism, potentially using hash, SHA256
  • scale by different time length, year, month, day, etc
  • a better system design
  • beautify UI by Bootstrap

Reference

Owner
LiaoJJ
Actively seeking for a Software Engineer New Grad opportunities
LiaoJJ
Self-Supervised Learning with Kernel Dependence Maximization

Self-Supervised Learning with Kernel Dependence Maximization This is the code for SSL-HSIC, a self-supervised learning loss proposed in the paper Self

DeepMind 29 Dec 29, 2022
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases,

Chris Hughes 110 Dec 23, 2022
FPSAutomaticAiming——基于YOLOV5的FPS类游戏自动瞄准AI

FPSAutomaticAiming——基于YOLOV5的FPS类游戏自动瞄准AI 声明: 本项目仅限于学习交流,不可用于非法用途,包括但不限于:用于游戏外挂等,使用本项目产生的任何后果与本人无关! 简介 本项目基于yolov5,实现了一款FPS类游戏(CF、CSGO等)的自瞄AI,本项目旨在使用现

Fabian 246 Dec 28, 2022
Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy

Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy

Noah Getz 3 Jun 22, 2022
Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

Big Vision This codebase is designed for training large-scale vision models on Cloud TPU VMs. It is based on Jax/Flax libraries, and uses tf.data and

Google Research 701 Jan 03, 2023
A machine learning package for streaming data in Python. The other ancestor of River.

scikit-multiflow is a machine learning package for streaming data in Python. creme and scikit-multiflow are merging into a new project called River. W

670 Dec 30, 2022
DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021)

DPT This repo is the official implementation of DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021). We provide code and model

CASIA-IVA-Lab 111 Dec 21, 2022
OMNIVORE is a single vision model for many different visual modalities

Omnivore: A Single Model for Many Visual Modalities [paper][website] OMNIVORE is a single vision model for many different visual modalities. It learns

Meta Research 451 Dec 27, 2022
《Lerning n Intrinsic Grment Spce for Interctive Authoring of Grment Animtion》

Learning an Intrinsic Garment Space for Interactive Authoring of Garment Animation Overview This is the demo code for training a motion invariant enco

YuanBo 213 Dec 14, 2022
sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code

sequitur sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code. It implements three differ

Jonathan Shobrook 305 Dec 21, 2022
An example of time series augmentation methods with Keras

Time Series Augmentation This is a collection of time series data augmentation methods and an example use using Keras. News 2020/04/16: Repository Cre

九州大学 ヒューマンインタフェース研究室 229 Jan 02, 2023
🦕 NanoSaur is a little tracked robot ROS2 enabled, made for an NVIDIA Jetson Nano

🦕 nanosaur NanoSaur is a little tracked robot ROS2 enabled, made for an NVIDIA Jetson Nano Website: nanosaur.ai Do you need an help? Discord For tech

NanoSaur 162 Dec 09, 2022
TextBPN Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection

TextBPN Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection; Accepted by ICCV2021. Note: The complete code (including training and t

S.X.Zhang 84 Dec 13, 2022
The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color

The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color Overview Code and dataset for The World of an Octopus: H

1 Nov 13, 2021
Visual Adversarial Imitation Learning using Variational Models (VMAIL)

Visual Adversarial Imitation Learning using Variational Models (VMAIL) This is the official implementation of the NeurIPS 2021 paper. Project website

14 Nov 18, 2022
Deep learned, hardware-accelerated 3D object pose estimation

Isaac ROS Pose Estimation Overview This repository provides NVIDIA GPU-accelerated packages for 3D object pose estimation. Using a deep learned pose e

NVIDIA Isaac ROS 41 Dec 18, 2022
Prefix-Tuning: Optimizing Continuous Prompts for Generation

Prefix Tuning Files: . ├── gpt2 # Code for GPT2 style autoregressive LM │ ├── train_e2e.py # high-level script

530 Jan 04, 2023
Semi-supervised Transfer Learning for Image Rain Removal. In CVPR 2019.

Semi-supervised Transfer Learning for Image Rain Removal This package contains the Python implementation of "Semi-supervised Transfer Learning for Ima

Wei Wei 59 Dec 26, 2022
这是一个yolo3-tf2的源码,可以用于训练自己的模型。

YOLOV3:You Only Look Once目标检测模型在Tensorflow2当中的实现 目录 性能情况 Performance 所需环境 Environment 文件下载 Download 训练步骤 How2train 预测步骤 How2predict 评估步骤 How2eval 参考资料

Bubbliiiing 68 Dec 21, 2022
Simple image captioning model - CLIP prefix captioning.

CLIP prefix captioning. Inference Notebook: 🥳 New: 🥳 Our technical papar is finally out! Official implementation for the paper "ClipCap: CLIP Prefix

688 Jan 04, 2023