Devlog 02

Hello :D.
Last time, I had a script that pulled stock data from yfinance, flattened the dataframes, and saved the data to JSON and CSV files.

For this update, I migrated to an actual local database, created separate modules, and built out the first bit of the indicators.

I switched over to an SQLite database, and as everything was getting too crammed in the main.py, created separate modules for handling the database and fetching yfinance data, which include the DatabaseManager and DataFetcher classes.

I’ve started out on building indicators.py to compute technical indicators. So far I’ve implemented:

• SMA (Simple Moving Average)
• EMA (Exponential Moving Average)
• RSI (Relative Strength Index)

I also updated main.py to handle all the new modules and work with the SQLite database.

Whats next?

I will most likely start building out the strategy part to generate signals based on the indicator outputs.

Devlog 01

Hey guys :D. First devlog of Cortex, heres a quick overview:

Cortex is a backtesting and market analysis platform that I’m building to test algotrading strategies.

For this first update, I got the main data pipeline working. All my data is coming from yfinance. I setup yfinance to pull 2 years of daily OHLCV data for 6 tickers (AAPL, MSFT, GOOGL, NVDA, SPY, and AMZN). pandas returns MultiIndex columns, so I had to format everything into a flat table. The formatted JSON and CSV files are also exported.