100/stock-analysis-markov — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2016-12-25
Run probability simulations on a stock's historical price data to see a range of likely future outcomes.
Learn how Markov Chains and Monte Carlo simulation work by exploring real stock data.
Gauge the volatility risk of a stock position before making an investment decision.
| 100/stock-analysis-markov | ashishps1/clustering-ssh-attacks | lorypage/open-a | |
|---|---|---|---|
| Stars | 11 | 11 | 11 |
| Language | Java | Java | Java |
| Last pushed | 2016-12-25 | 2016-07-04 | — |
| Maintenance | Dormant | Dormant | — |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 3/5 | 3/5 | 3/5 |
| Audience | researcher | ops devops | developer |
Figures from each repo's GitHub metadata at analysis time.
Ships as a standalone executable with a GUI, no programming knowledge required to run it.
A desktop app that predicts a range of possible future stock prices using Markov Chains and Monte Carlo simulation on historical data.
Mainly Java. The stack also includes Java.
Dormant — no commits in 2+ years (last push 2016-12-25).
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
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