# gomuang/stockdatavisualizer architecture

> Architecture diagram of the GitHub repository gomuang/stockdatavisualizer, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-10-01). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/gomuang/stockdatavisualizer
- Repository: https://github.com/gomuang/stockdatavisualizer

## Overview

StockDataVisualizer is a small, single-file command-line application for requesting stock time-series data and preparing bar or line charts. Its visible workflow collects and validates a ticker, chart and time-series choices, and date bounds; requests data from Alpha Vantage; filters and extracts OHLC values; and builds a chart. The excerpts show chart construction but not the final chart display or save step, so those are not represented. The README describes the project’s learning goal but documents no additional product capabilities.

Main entry points: [`stocks.py`](https://github.com/gomuang/stockdatavisualizer/blob/main/stocks.py) (Data retrieval)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_inputs["User selections"]
  node_selection["Input validation<br/>[stocks.py]"]
end

subgraph group_data["Market data"]
  node_request["Data retrieval<br/>[stocks.py]"]
  node_alphavantage{{"Alpha Vantage"}}
  node_ohlc["Date filtering and OHLC<br/>[stocks.py]"]
end

subgraph group_charts["Charting"]
  node_chart["Chart construction<br/>[stocks.py]"]
end

node_user(("User"))

node_user -->|"provides choices"| node_selection
node_selection -->|"supplies parameters"| node_request
node_request -->|"requests data"| node_alphavantage
node_request -->|"returns response"| node_ohlc
node_ohlc -->|"provides series"| node_chart

click node_selection "https://github.com/gomuang/stockdatavisualizer/blob/main/stocks.py"
click node_request "https://github.com/gomuang/stockdatavisualizer/blob/main/stocks.py"
click node_ohlc "https://github.com/gomuang/stockdatavisualizer/blob/main/stocks.py"
click node_chart "https://github.com/gomuang/stockdatavisualizer/blob/main/stocks.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_selection,node_user toneBlue
class node_request,node_alphavantage,node_ohlc toneAmber
class node_chart toneMint
```

## Components

### User selections

- [Input validation](https://github.com/gomuang/stockdatavisualizer/blob/main/stocks.py): `stocks.py`

### Market data

- [Data retrieval](https://github.com/gomuang/stockdatavisualizer/blob/main/stocks.py): `stocks.py`
- **Alpha Vantage**
- [Date filtering and OHLC](https://github.com/gomuang/stockdatavisualizer/blob/main/stocks.py): `stocks.py`

### Charting

- [Chart construction](https://github.com/gomuang/stockdatavisualizer/blob/main/stocks.py): `stocks.py`

### Other components

- **User**

## Connections

- User → Input validation: provides choices (evidence: `stocks.py`)
- Input validation → Data retrieval: supplies parameters (evidence: `stocks.py`)
- Data retrieval → Alpha Vantage: requests data (evidence: `stocks.py`)
- Data retrieval → Date filtering and OHLC: returns response (evidence: `stocks.py`)
- Date filtering and OHLC → Chart construction: provides series (evidence: `stocks.py`)