gemlorg/Thesis-Trading-LLM

Bachelor's Thesis on Machine Learning for Stock Market Forecasting. Several simple models & a reprogrammed LLM suited for time series data.

20
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Experimental

This project helps quantitative traders and financial analysts forecast stock market prices using machine learning. It takes historical market data as input and outputs price predictions from various models, including an LLM adapted for time series. This is for professionals building or evaluating automated trading strategies and market prediction systems.

No commits in the last 6 months.

Use this if you are a quant researcher or trader looking to experiment with machine learning models, including a specialized LLM, for stock market price forecasting.

Not ideal if you need a plug-and-play trading bot or a tool for fundamental analysis, as this project focuses on the underlying prediction models rather than full trading execution or qualitative insights.

quantitative-trading financial-forecasting algorithmic-trading market-prediction time-series-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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7

Forks

Language

Python

License

Apache-2.0

Last pushed

Jul 14, 2024

Commits (30d)

0

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