Scripts for downloading WSE/GPW stock prices. Allows for downloading historical price for every stock into a single dataset
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Jun 4, 2026 - R
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Desktop app(written in Electron) for checking GPW stocks in real-time.
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Dec 10, 2022 - JavaScript
Relative strength analysis of WSE (GPW) equities. Identify outperforming Polish sectors (vs. WIG20 index) and stocks using top-down momentum and relative strength comparison models.
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May 16, 2026
StockExperience - The best way to learn how to invest in stocks!
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Dec 15, 2021 - PHP
Selenium scrapers for GPW stock data; Kafka/PySpark/Telegram alert pipeline planned
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Jun 28, 2026 - Python
Analyze the profitability of Polish stock-listed companies using Python and SQL. The project includes financial ratio calculation, data visualization, and SQL queries for use in MySQL databases.
python sql jupyter-notebook pandas data-visualization stock-market data-analysis financial-analysis gpw profitability financial-ratios
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Aug 26, 2025 - Jupyter Notebook
NLP + econometrics pipeline for WIG20 stocks. FinBERT sentiment analysis of Polish financial news → Granger causality tests → ARIMAX forecasting. 8.5% RMSE improvement over baseline.
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Feb 28, 2026 - Jupyter Notebook
A lightweight Backtesting Swing Trading WIG20, high-frequency backtesting engine with a Tkinter graphical interface. This tool allows users to simulate and compare "buy-the-dip" mean-reversion strategies using three distinct mathematical indicators: Simple Moving Average (SMA), Exponential Moving Average (EMA), and the Hull Moving Average (HMA).
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Jul 4, 2026 - Python
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