https://github.com/joyalmpaul/stock-sorter
Finds best stocks and makes histograms based on profit/loss
https://github.com/joyalmpaul/stock-sorter
finnhub-api json matplotlib-python pandas-python statistic-modeling yfinance-api
Last synced: 4 months ago
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Finds best stocks and makes histograms based on profit/loss
- Host: GitHub
- URL: https://github.com/joyalmpaul/stock-sorter
- Owner: JoyalMPaul
- Created: 2025-04-20T20:14:11.000Z (7 months ago)
- Default Branch: master
- Last Pushed: 2025-04-22T21:36:54.000Z (7 months ago)
- Last Synced: 2025-04-23T11:39:45.406Z (7 months ago)
- Topics: finnhub-api, json, matplotlib-python, pandas-python, statistic-modeling, yfinance-api
- Language: Python
- Homepage:
- Size: 61.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📈 Stock Sorter
## Project Description
This is a stock sorter created using the Finnhub API, with the built-in webbrowser library utilized to display graphs for evaluating stock potential. A Pandas DataFrame was employed to generate an XLSX table, which can be imported as a CSV into Google Sheets. Additionally, histograms of profits and losses were created using the Matplotlib statistics library.
***
## GUI Design
### How to Use
1. ***You must already have a Finnhub account and have an api key. If not, use: https://finnhub.io/register
2. Open your preferred code editor and navigate down using `cd Stock API Sorter\stocks` to enter directory
3. Activate the virtual environment by running: `venv/scripts/activate` (If not working, use: `Unblock-File -Path ".\venv\Scripts\Activate.ps1"`)
5. Install the required libraries by running: `pip install -r requirements.txt`
6. Go into branch that contains code files using `cd code_files`
7. Download "https://marketplace.visualstudio.com/items/?itemName=GrapeCity.gc-excelviewer" extension to see XLSX as CSV file
8. Run Steps
- Step 1: `py .\Step_1-api.py` (Gets stock data)
- Step 2: `py .\Step_2-spreadsheets.py` (Puts data into chart)
- Step 3: `py .\Step_3-stocks.xlsx` (Makes xlsx file, **look at point 5 to view file**)
- Step 4: `py .\Step_4-data_chart.py` (Makes histogram of profits/loss)
### Libraries Used
Finnhub, Pandas, Openpyxl, Numpy, Matplotlib, Yfinance
### Extra
If needed, go into range.txt under my_texts folder. The top number is the minimum and the bottom number is the maximum for the companies sorted through so far. I recommend keeping the values at most 60 apart or else the API call limit for Finhubb free tier will be reached, and a error code will be returned.