Study notes:
"Econometrics"?
Time series?
🧐🧐🧐
Only learned the basics of Markov chains🫣🫣🫣... just scratching the surface of matrix prediction and operations.
Recently, I've been live trading with the quantitative model of Gemini 2.5 Pro for a week.
This version mainly adds
the Black-Scholes model and Taylor expansion
and time series.
The computational power needed is 10 times greater than the previous version, meaning 10 times more computing cards need to be purchased.
Time series will make short-term price trend predictions for the future that hasn't happened yet.
In other words, it's about quantitative stock price forecasting.
The principle is equivalent to crawling fundamental information and analyzing past market behavior to explore how these behaviors affect the future.
Lately, I've been optimizing the combination of code and mathematical formulas.
In fact, AI is gradually replacing humans in tasks like generating exam simulations, creating novel posters, and other manual work.
Humans are just observers, monitoring whether the quantitative model executes your ideas and provides feedback, while we encode our experiences and knowledge into the program, evolving with the times.
From 2024 to 2025, for me, it's also about the continuous evolution and transformation of the quantitative model from version 0.5 to 2.5.
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