# Rust Stock Analysis Library

The Rust Stock Analysis Library is a Rust-based package designed to provide functionalities for retrieving stock data, calculating technical indicators, visualizing trends, and generating reports.

# Features
- **Retrieve stock data:** Fetch real-time or historical data from APIs (implementation coming soon!).
- **Calculate technical indicators:** Analyze trends using indicators like moving averages and RSI (more to come!).
- **Visualize trends:** Gain insights with clear visualizations (plotting library integration in progress!).
- **Generate reports:** Summarize key information for easy reference.

# Getting Started:

- Add the library to your project:
```rust
[dependencies]
rust_stock_analysis = "0.1.1"
```
- Import the library:
```rust
use rust_stock_analysis::StockData;
```
- Create a StockData instance:
```rust
let data = StockData::retrieve_data("AAPL").unwrap(); // Replace "AAPL" with your desired symbol
```
- Analyze and visualize:
```rust
data.calculate_technical_indicators();
data.visualize_trends(); // Visualization not fully implemented yet
data.generate_report();
```

# Advanced Usages 
- rust_stock_analysis provides a foundation for building powerful stock analysis tools. Here are some advanced usages to explore:

## Customizing Technical Indicators:
- Implement your own technical indicator calculation logic within the ```calculate_technical_indicators``` function. You can leverage existing libraries like ```technical_indicators``` for comprehensive calculations.
- Extend the StockData struct to include additional fields relevant to your specific analysis needs.

## Advanced Data Retrieval:
- Replace the placeholder ```fetch_data_from_api``` function with an actual implementation that fetches data from a real API using libraries like reqwest.
- You can customize the API endpoint and parameters to retrieve specific data sets based on your requirements.

## Data Persistence and Analysis:
- Persist retrieved stock data using libraries like serde or databases like diesel for further analysis and comparison.
- Leverage libraries like plotters to create comprehensive visualizations of trends and indicators.

Example: Custom RSI Calculation and Visualization

```rust
use technical_indicators::{Rsi};

impl StockData {
    fn calculate_rsi(&self, period: usize) -> f64 {
        let mut rsi = Rsi::new(period);
        for price in &[self.price] {
            rsi.push(*price);
        }
        rsi.value().unwrap_or(0.0)
    }

    fn visualize_trends(&self) {
        use plotters::prelude::*;
        let root = BitMapBackend::new("chart.png", (640, 480)).unwrap();
        let mut chart = ChartBuilder::on(&root)
            .caption("Stock Price", ("Arial", 16))
            .xaxis(MovingAxis::bottom(&Axis::from_range(0.0, 10.0)))
            .yaxis(MovingAxis::left(&Axis::from_range(0.0, 150.0)))
            .build().unwrap();

        chart.fill_between(&[0.0, 10.0], &[self.price, self.price], &RGBColor(200, 200, 200)).unwrap();
        chart.line(&[0.0, 10.0], &[self.price, self.price], &BLUE).stroke_width(2).unwrap();

        // Add RSI line here (refer to plotters documentation for guidance)

        chart.ctx.default_black().end().draw().unwrap();
    }
}
```
# Please note:
This is an early-stage library with ongoing development. Stay tuned for exciting updates!
The current implementation uses placeholder functions for data retrieval and technical indicator calculations.